Abstract
The increase in incidental discovery of pulmonary nodules has led to more urgent requirement of tissue diagnosis. The peripheral pulmonary nodules are especially challenging for clinicians. There are various modalities for diagnosis and tissue sampling of pulmonary lesions, but most of these modalities have their own limitations. This has led to the development of many advanced technical modalities, which have empowered pulmonologists to reach the periphery of the lung safely and effectively. These techniques include thin/ultrathin bronchoscopes, radial probe endobronchial ultrasound (RP-EBUS), and navigation bronchoscopy—including virtual navigation bronchoscopy (VNB) and electromagnetic navigation bronchoscopy (ENB). Recently, newer technologies—including robotic-assisted bronchoscopy (RAB), cone-beam CT (CBCT), and augmented fluoroscopy (AF)—have been introduced to aid in the navigation to peripheral pulmonary nodules. Technological advances will also enable more precise tissue sampling of smaller peripheral lung nodules for local ablative and other therapies of peripheral lung cancers in the future. However, we still need to overcome the CT-to-body divergence, among other limitations. In this review, our aim is to summarize the recent advances in diagnostic bronchoscopy technology.
1. Introduction
The early detection of lung nodules for diagnosing curable lung cancer is very important [1,2]. The National Lung Screening Trial demonstrated the utility of low-dose computed tomography (CT) scans to increase early detection and reduce mortality from malignant tumors [3,4]. This trial reported 39.1% of subjects in the low-dose CT screening group as having at least one positive result [3]. Approximately 80% of these lesions were peripheral pulmonary lesions (PPLs), according to the National Lung Screening Trial and the NELSON trial. The increase in the incidental discovery of pulmonary nodules has led to more urgent requirement of tissue diagnosis [3,5].
There are various modalities for the diagnosis and tissue sampling of pulmonary lesions, but most of these modalities have their own limitations. CT-guided transthoracic needle aspiration has a higher yield for peripheral small lesions, compared with bronchoscopy, but faces difficulty in reaching lesions over central and mediastinum areas [6]. A previous study demonstrated that transthoracic biopsy for malignant lesions has 93% sensitivity, 100% specificity, and a 25% complication rate; pneumothorax accounted for 24% of complications [7]. Conventional bronchoscopy has lower sensitivity for malignant lesion diagnosis, and is poorer for lesions of less than 20 mm in diameter [7,8]. Although conventional bronchoscopy has a lower diagnostic yield than CT-guided transthoracic needle biopsy (TTNB) for the diagnosis of peripheral pulmonary lesions, the risks of complication are significantly lower.
This has led to the development of many advanced technical modalities, which have empowered pulmonologists to reach the periphery of the lung safely and effectively. These techniques include thin/ultrathin bronchoscopes, radial probe endobronchial ultrasound (RP-EBUS), fluoroscopy, and navigation bronchoscopy—including virtual navigation bronchoscopy (VNB) and electromagnetic navigation bronchoscopy (ENB). Recently, newer technologies—including robotic-assisted bronchoscopy (RAB), cone-beam CT (CBCT), and augmented fluoroscopy (AF)—have been introduced to aid in navigation to PPLs. Technological advances will also enable more precise tissue sampling of smaller peripheral lung nodules for local ablative and other therapies of peripheral lung cancers in the future.
PPLs are defined as lesions located in the bronchi that are not visible under bronchoscopy [9]. Diagnosis of PPLs suspected of malignancy remains a challenge. However, there are no clear guidelines for these various endobronchial modalities. The American College of Chest Physicians’ lung cancer guidelines recommend minimally invasive modalities, and take factors such as lesion characteristics, patient’s condition, physician’s skill, and complications into account [3,5,10,11,12,13,14,15]. Various navigational bronchoscopies have been developed for PPLs, increasing the diagnostic yield. Minimally invasive transbronchial treatment may also work by using more accurate three-dimensional (3D) imaging in the future [16,17].
Several factors may increase the diagnostic yield of transbronchial needle aspiration, such as lesion size of more than 3 cm, upper and middle lesion location, the presence of the CT bronchus sign [18,19,20,21,22,23,24], operator skill, adequate sampling tools, use of real-time sampling guidance, rapid on-site evaluation (ROSE), and the type of sedation used for the procedure [25,26,27,28,29,30].
Nodule size is an important factor in diagnostic yield [21,31,32]. However, Seijo et al. reported that lesion size (<3 cm vs. >3 cm and <2 cm vs. 2–3 cm) did not seem to show a statistically significant difference, which is also consistent with the findings of the NAVIGATE study and Chavez et al. [33,34,35]. The diagnostic yield of different locations (upper lobe vs. middle lobe vs. lower lobes) did not show a statistically significant difference; this result is consistent with the findings of the NAVIGATE trial [33,34]. The American College of Chest Physicians’ guidelines for the diagnosis of lung cancer also revealed that the sensitivity of bronchoscopy for diagnosing lesion in peripheral lung was lower than that in central lung [36].
Seijo et al. and the NAVIGATE study also reported the presence of the bronchus sign as a significant factor in diagnostic yield. [33,34] However, a retrospective study revealed no significant difference in diagnostic yield with and without the CT bronchus sign [30]. The experience of the operator is also a factor affecting the diagnostic yield in some studies [29,31], but this was not consistent in another cohort [30]. Moreover, a lower diagnostic yield (64.9%) was noted in centers with low procedural volumes (0–4 cases/month) in the NAVIGATE study [34], but another study showed that this factor does not affect the diagnostic yield [30].
A retrospective review based on the Tsuboi classification reported better yields and sensitivity with types I and II compared to type III; this result was consistent with the findings of Tsuboi et al. [37]. In Tsuboi type I (the bronchus ends in the lesion) and Tsuboi type II (nodule in the bronchus), the instruments can directly reach the lesion. In Tsuboi type III (lesion compressing the bronchus), the instruments cannot get through the compressed bronchus, making the diagnosis more difficult. It is possible that transbronchial sampling instruments will be better able to reach these lesions in the future [38]. The bronchoscopic diagnostic yield for PPLs is 53–65% using various sampling tools [39]. After the fifth biopsy specimen being sampled, the cumulative diagnostic yield reaches a plateau. Therefore, at least five biopsy specimens and washing after brushing are required in order to improve the diagnostic yield [21,40]. Furthermore, moderate sedation has also been found to affect diagnostic yield in a meta-analysis [27]; this cohort revealed that the use of conscious sedation in patients can result in better diagnostic yield, consistent with the study by Bowling et al. [28].
More recently, CT-to-body divergence has been put forward as a concept of the difference between pre-procedure planning CT and actual navigational bronchoscopy. The divergence of the mapping guided by navigational software, the true anatomy, the lung volumes, and the position of the target found during bronchoscopy may be caused by factors including atelectasis, nodule movement with respiration motion, and the physical changes between the planning phase and the procedure [16,41,42]. In this review, our aim is to summarize the recent advances in navigational bronchoscopy technology.
In 1966, Professor Shigeto Ikeda, the father of flexible bronchoscopy, introduced to the world the first flexible bronchoscope [43]. Professors Becker, Hurter, and Hanrath invented the RP-EBUS probe for target lesion confirmation prior to biopsy in 1992–1996 [44,45], and Professor Noriaki Kurimoto presented the guide sheath system of the RP-EBUS probe in 2004.
2. Endobronchial Ultrasound (EBUS) and a Guide Sheath (GS) (1992–1996, 2004)
According to the American College of Chest Physicians’ guidelines, RP-EBUS-guided lung biopsy can be used as an important means of diagnosis of PPLs, and should be prioritized [46].
Kurimoto et al. introduced a technique of EBUS with a guide sheath (EBUS-GS) to improve the diagnostic yield of PPLs (Supplementary Material Figure S1). The overall diagnostic yield of the EBUS-GS was 77% [47].
Pulmonologists can check the relative position of PPLs and instruments, and perform sampling under visualization by using the RP-EBUS. When the wire arrives at the target, the physician removes it and inserts the probe of RP-EBUS in the GS, while keeping the GS in place. After localization, the radial probe is withdrawn and the sampling instruments are inserted into the GS, and specimens can be collected [47]. A systemic review and meta-analysis indicated good performance of RP-EBUS-guided lung biopsy compared with the conventional bronchoscopic lung biopsy modality [32].
The diagnostic yield was affected by the lesion size and probe location [32]. A meta-analysis revealed that the diagnostic yield was better for lesions with a diameter larger than 20 mm than for the lesions with a diameter of less than 20 mm. Many studies showed that positioning the probe within, adjacent to, and outside the lesions has the highest, lower, and lowest diagnostic accuracy, respectively [21,35,48,49,50]. The overall complication rate of RP-EBUS in the diagnosis of PPLs was 1.08–2.8%, including 0.8–1.4% pneumothorax, 1.1% bleeding, and 0.3–0.5% pneumonia [32,51,52,53,54].
3. Ultrathin Bronchoscopy (UTB) (1996)
The conventional bronchoscope is limited by its large size, and cannot reach PPLs in more distal locations. The first thin bronchoscopy for PPLs in adult patients was invented in 1885 [55]. An ultrathin fiberscope with a 2.7 mm external diameter and 0.8 mm internal diameter, with a working channel, was introduced in 1996. The ultrathin bronchoscope can be used through the tracheal tube during mechanical ventilation [56]. However, the smaller working channel of the pediatric bronchoscopes limits the instrument to adequate and high-quality specimens. A prospective randomized control trial compared the UTB with a 2.8 mm outer diameter (OD) and 1.2 mm working channel with a standard-size bronchoscope, and the diagnostic yield of the UTB was lower than the yield of the standard-size bronchoscope. UTB was not better than standard bronchoscopy, possibly because of the small working channel, which is too small to obtain enough high-quality specimens [57]. Moreover, the ultrathin bronchoscope can reach more distal areas, but the location cannot be directly visualized through bronchoscopy, and needs to be confirmed by fluoroscopy or RP-EBUS. To break this limitation, ultrathin bronchoscopes with a 2.8–3.5 mm OD and proper-sized working channel have been developed to allow the use of RP-EBUS and more elasticity to pass smaller airways. The study revealed that the 3 mm OD ultrathin bronchoscope with a 1.7 mm working channel (Figure S2), compared with the 4 mm OD conventional bronchoscope, can reach more distal areas and has a better diagnostic yield [58]. A retrospective study also demonstrated that the diagnostic yield of RP-EBUS was significantly higher in ultrathin bronchoscopy without a guide sheath than in conventional bronchoscopy with a guide sheath, both under fluoroscopic guidance. There was no significant difference in the complication rate between the two groups [59].
6. SuperDimensionTM System
The superDimension system utilizes a static inspiratory breath-hold CT chest scan for the planning phase. A sensor-locatable guide is tracked on the navigation system, synchronized with reconstructed CT imaging, and is inserted into an extended working channel (EWC) through a bronchoscope (Figure S4).
The EWC has various angles—including 45°, 90°, and 180°—to offer elasticity during navigation and remain in site after the locatable guide is shifted to the sampling instruments.
9. Robotic Bronchoscopy
Robotic bronchoscopy systems are the newest technique and least invasive modality for the diagnosis of PPLs. There are two systems, including the Monarch™ Platform (Auris Health©, Redwood City, CA, USA, FDA approved in March 2018) and the Intuitive Ion™ robotic platform (Intuitive Surgical©, Sunnyvale, CA, USA, FDA approved in February 2019) [68,86,87]. These systems can reach more peripheral areas of the lungs, have more delicate control and navigation to the target, and show more stabilization during tissue sampling—especially when the target is an eccentric lesion via peripheral TBNA. In addition, because the robot-assisted system uses a smaller bronchoscope, it also has direct visualization for more distal areas [68,88]. The two systems both have similar equipment, including the bronchoscope, robotic arms, a tower, and a controller.
10. The Monarch™ Platform
The MonarchTM system (Auris Health©, Redwood City, CA, USA) is composed of a 6.0 mm, 130° articulating outer sheath and a 4.4 mm bronchoscope with a 2.1 mm working channel that can flex 180° in any direction beyond the sheath. With the use of a handheld controller, it allows the pulmonologist to navigate the tortuous and more distant areas of the lungs, along with continuous visualization. All parts of the scopes can independently lock into position for stability during instrument exchange and tissue sampling. The operator can control the instrument more precisely and guide it further, to the periphery of the lung lesions, compared to the conventional bronchoscope [89]. The MonarchTM system uses similar equipment to ENB, including direct visualization, real-time and virtual bronchoscopy, electromagnetic navigation, and robotic real-time data that can precisely localize the bronchoscope. Fluoroscopy and RP-EBUS can also be integrated within the system to confirm more precise positioning during procedures [88,89,90].
A retrospective multicenter study using the Monarch™ system in 165 patients with 167 lesions demonstrated successful navigation of 88.6% and diagnostic yield of 69.1–77% for the lung nodules. The average size of target lesions was 25.0 ± 15.0 mm. A total of 71% of the lung nodules were located in the outer third of the lung, and 63.5% of patients had a bronchus sign. The yields of concentric, eccentric, and absent RP-EBUS views were 81.5, 71.7, and 26.9%, respectively. The rate of pneumothorax was 3.6%, 2.4% required chest tube placement, and airway bleeding was 2.4% [88,91]. A prospective multicenter pilot and feasibility study (BENEFIT) using the Monarch™ system reported success rate of 96.2% for lesion localization using RP-EBUS, and a diagnostic yield of 74.1% in 54 patients. Median lesion size was 23.0 mm (IQR, 15 to29 mm), and 59.3% of patients had a bronchus sign. Peripheral lesions with a concentric RP-EBUS view had a diagnostic yield of 80.6%, and those with an eccentric view had a yield of 70%. The diagnostic yield of eccentric lesions was significantly higher than the previously reported yield of 30–40%. [21] The rate of pneumothorax was 3.7%, and the rate of requiring tube thoracostomy was 1.9%. [92] Another prospective multicenter study (TARGET) using the Monarch™ Endoscopy Platform is currently enrolling patients, and aims to enroll 1200 patients at up to 30 investigative sites to evaluate the clinical safety and diagnostic accuracy of robotic-assisted bronchoscopy with biopsy [88,93].
11. Intuitive Ion™ Robotic Platform
The IonTM endoluminal system (Intuitive Surgical©, Sunnyvale, CA, USA) uses fiber-optic shape-sensing in conjunction with real-time and virtual bronchoscopy. The scope consists of an ultrathin, fully articulating catheter with a 3.5 mm outer diameter, 2.0 mm working channel, and a vision probe in the working channel. The catheter includes fiber-optic shape sensors that provide real-time, accurate location and shape feedback. The system can keep the catheter in its current formation and reach further lesions stably. The optical probe is withdrawn upon reaching the target, and the instrument can be inserted in the remaining sheath. This system provides a custom-designed flexible needle (Flexision™, Intuitive Surgical©, Sunnyvale, CA, USA) that can be passed through the positioned catheter, which can be advanced through tortuous airways with smaller radii, and can then be deployed into the target lesion in a direct fashion [68,88]. The user operates the system via a trackball and scroll wheel, which are combined with a distal tip articulation system to provide direct visualization during the navigation process. Navigational bronchoscopy, RP-EBUS, and fluoroscopy can be integrated into the tower systems [94].
Fielding et al. performed the first human feasibility study using the IonTM endoluminal system on 29 patients with a mean lesion diameter of 12.2 mm in the axial plane, and reported 96.6% localization and tissue sampling success. The overall diagnostic yield and diagnostic yield for malignancy were 79.3% and 88%, respectively. The CT bronchus sign was present in 58.6% of cases, and approximately half of the cases had an eccentric RP-EBUS view. The high yield—especially for the eccentric RP-EBUS view—was attributed to the ability to visualize peripheral airways and to deploy the TBNA needle perpendicular to the airway towards the lesion. No pneumothorax or major bleeding were encountered. However, procedure times averaged 95 min initially, and then shortened to 61 min [87]. A prospective single-arm multicenter clinical study (PRECIsE) using the IonTM endoluminal system is in progress, and is expected to enroll 360 patients, with the primary outcomes assessing navigation and biopsy success, and secondary outcomes assessing complications [95].
Due to the robotic systems retooling the bronchoscope into one with accurate motion, adjustable angulation, and better stability, the robotic platforms have the ability to potentially overcome some limitations of the currently available guided bronchoscopy systems, and increase the diagnostic yield for PPLs—especially for eccentric RP-EBUS views [87,91,92]. These new RAB platforms with sheaths and scopes with fiber-optic shape sensing can reach further areas up to the ninth generation of airways—compared to conventional bronchoscopy, which can only reach the sixth generation of airways—and have entire real-time visualization and mapping for tissue sampling and marking lesions for diagnosis and surgery [81]. The small outer diameter of the bronchoscope also helps the scope to be wedged and locked in the target segment, which can allow for tamponade and containment of the bleeding. Because of their precision in locating PPLs, the RAB platforms may guide bronchoscopic ablative therapies for treating oligometastatic lesions or inoperable peripheral lung tumors [90,96].
However, the most important limitations to overcome are the lung movement during the procedure and the CT-to-body divergence [97]. The navigational bronchoscopic techniques utilize pre-procedure planned CT imaging for navigational mapping, and cannot reflect the real state of the lung in real time during the procedure—especially while sampling tissue. The combination of the real-time imaging modality including cone-beam CT (CBCT) and augmented fluoroscopy (AF) can obtain real-time 3D imaging during the procedure to identify the lesion, scope, and instrument location. Furthermore, the weakness of this technique includes higher cost, more complex configuration in the procedure room, longer procedure time, and the need for a learning curve. We still need further research in order to evaluate the efficacy of robotic-assisted bronchoscopy. With more persistence, practice, and patience, robotic-assisted bronchoscopy may become the next stepping stone for the diagnosis and treatment of PPL.
A variety of bronchoscopic technologies for the diagnosis of PPLs have been developed in the past two decades. The diagnostic yield seems to have plateaued around 70%, and is often lower [27,34,39,84,91,98,99,100,101]. These modalities have failed to reach a consistently high diagnostic yield. Various factors affect them, including inaccurate real-time visualization and confirmatory technique, CT-to-body divergence, and poor-quality sampling. RP-EBUS is commonly used to confirm the lesion location, and can also be misled by atelectasis or hemorrhage [41]. CBCT can provide high-resolution, real-time, intraprocedural 3D imaging, and support the navigation, confirmation, and tissue sampling phases to correct for CT-to-body divergence, representing a feasible way to overcome those limitations mentioned above [16,41,102,103,104,105,106].
12. Cone-Beam Computed Tomography (CBCT)
CBCT uses intraprocedural 3D imaging using a C-arm, and was introduced in the early 2000s; its use was quickly and widely adopted for various clinical applications, including pulmonary bronchoscopic intervention [107,108,109,110]. CBCT uses a compact CT system with a moving C-arm requiring volumetric data during the procedure to provide real-time information about the instrument and target lesion location (Figure S5).
CBCT is performed after anesthesia, and typically before the bronchoscope is inserted. The imaging reconstructed by projection imaging can be reformatted into coronal, sagittal, and axial views. Next, the target PPLs are located and outlined on those images by using dedicated softwar. [102,103,106,111]. Then, the lesion can be overlaid on live fluoroscopic imaging to provide a target for navigation and sampling.
The common trade names for CBCT include DynaCT (Siemens Healthineers, Germany), Innova CT (GE Healthcare, Waukesha, WI, USA), and XperCT (Philips Healthcare, The Netherlands). Fixed CBCT systems have types including floor, biplane, ceiling, and robotic; all of these can be used during bronchoscopy. The floor and biplane systems are less convenient because the base is fixed to the floor at the head end of the patient table, where the pulmonologist stands. Moreover, the system’s reach to the base of the lungs—especially in taller patients—could be limited depending on the C-arm depth, because the rotation point of the propeller is above the patient’s head. On the other hand, ceiling and robotic systems have friendlier configuration, better patient access, and less equipment re-arrangement during the switch between fluoroscopy and CBCT. Some mobile C-arm systems—including Cios Spin (Siemens Healthineers) and Vision RFD 3D (Ziehm Imaging, Florida, USA)—are also able to perform CBCT. Although mobile C-arms have a smaller field of view and a longer image acquisition time of ~30–60 s, they can move easily, and have a smaller footprint and more acceptable price [112].
Many studies have reported using CBCT to visualize PPLs during bronchoscopic procedures, including diagnosis, dye marking, and ablation [41,102,103,104,105,106,111,113]. During navigation bronchoscopy, CBCT can assist in navigation guidance and tool-in-lesion confirmation prior to sampling or ablation [41,102,103,104,105,106,111,113]. Furthermore, CBCT can detect atelectasis during procedures that may interfere with navigation, obscure the target location, and mislead the physician. In addition to a high positive end expiratory pressure, the use of CBCT can correct CT–body divergence caused by atelectasis. CBCT also can decrease CT–body divergence caused by respiratory movement or other factors by providing real-time navigational information.
CBCT also can be combined with other bronchoscopic techniques, such as ultrathin scopes, RP-EBUS, transbronchial instruments, and EMN [41,102,103,104,105,106,111,113]. The utility of CBCT is not to replace other navigation bronchoscopic techniques, but to provide additional confirmation and accurate real-time navigation, especially in the biopsy phase. Moreover, bronchoscopic ablation requires more precise locations of the instrument, the target, and vital structures, in which CBCT can play an important role [114].
Several studies have demonstrated that CBCT can be used to confirm the relative distance between the instrument and the target prior to biopsy, and has the potential to improve diagnostic yield with fewer needle repositions and reduced complications [41,103,104,105,115]. A prospective study by Hohenforst-Schmidt el al. showed that traditional bronchoscopy combined with CBCT has a navigational yield of 91% and a diagnostic yield of 70%. Moreover, CBCT-guided transbronchial biopsies (TBBs) for incidental solitary pulmonary nodules ≤ 2 cm found a sensitivity to malignancy of 82%, which is much better than fluoroscopy-guided conventional TBBs, with a mean value of 50% [102,116]. A small prospective pilot study of 20 patients demonstrated that CBCT-guided bronchoscopy resulted in 20% and 25% increases in the navigational and diagnostic yield, respectively, of thin/ultrathin bronchoscopy for PPLs, with an acceptable radiation dose ranging between 8.6 and 23 mSv [41]. A prospective single-center study of 87 patients with 107 lesions also reported that the addition of CBCT imaging to the electromagnetic navigation system increased navigation success from 52.2% to 87.5%, and diagnostic accuracy from 50% to 75% [117]. A multivariate analysis by Park et al. reported that tool-in-lesion confirmation by CBCT prior to biopsy was the only factor related to higher diagnostic yield [105].
In summary, CBCT plays an important role during bronchoscopic procedures by localization of the instrument and the target lesion, tissue sampling under real-time guidance, and decreasing CT-to-body divergence, including atelectasis caused by false positive RP-EBUS images. Several studies are ongoing to explore whether this technique can improve outcomes of bronchoscopy for PPLs. There are some limitations and drawbacks of using CBCT as an adjuvant modality in bronchoscopic procedures, including the radiation exposure, the complex workflow in most procedure rooms, and the longer procedure time due to the number of scans and preparation.
Precise localization and sampling are especially important for bronchoscopy. Previous traditional modalities including virtual navigation bronchoscopy, ENB, and robotic-assisted systems with shape-sensing can be combined with CBCT to acquire 3D images and localize targets, probes, and instruments, demonstrating a 91% localization rate but a 70% diagnostic yield [102]. This diagnostic yield has not increased in parallel with localization success.
These approaches all use a virtual navigational pathway guided by preoperative reconstructed CT images to guide the physician to the target. However, the navigation does not reflect the actual target location. A study revealed an average displacement distance of 13–22 mm compared to the expected location on the planning CT imaging. The distance can be larger than this, especially when evaluating lesions less than 20 mm in size. This can lead to missampling and lower diagnostic yield [118].
All of these bronchoscopic approaches are based on CT images in the planning phase, provide only a static overlay, and do not factor in CT-to-body divergence or respiratory movement.
Atelectasis also affects the visualization of the target. Pritchett et al. reported that atelectasis was identified to varying degrees in approximately 50% of their procedures [119]. Casal et al. [41] reported that the target lesion was totally obscured by atelectasis in 20% of their subjects. Atelectasis can be caused by various factors, including anesthesia, mucus plugs, chest muscle weakness, and hyperoxia [120], and can cause significant displacement of the target. The use of general anesthesia with a tidal volume of 8–10 mL/kg of ideal body weight and a positive pressure ventilation of at least 10 cm H2O can minimize atelectasis and reduce CT-to-body divergence [121].
Respiratory movement makes lung volume, airway orientation, and instruments’ location within the lungs change constantly. The overlay of the true lesion location and the target on the navigation guide only occurs at a single point in the respiratory cycle. This mismatch distance between full inspiration and end exhalation on pre-procedure chest CT scans has been reported to average 17.6 mm over the whole lung, and the average of the range near the base of the lung can reach up to 25.3 mm. This mismatch can significantly affect the diagnostic yield of ENB [42], which produces a high localization rate, but without consistent diagnostic yield [39,79,97,122,123]. The critical step of diagnostic bronchoscopy for PPLs is to localize the tip of the instrument within or at the border of the target; if we cannot overcome CT-to-body divergence and breathing motion, this can lead missampling of non-lesion sites.
At present, we need to aim to correct CT-to-body divergence using actual real-time visualization of the target, and improve the means of tracking lung motion during the bronchoscopic procedure for peripheral pulmonary lesions.
13. Augmented Fluoroscopy (AF)
Fluoroscopic navigation is an adjuvant technique for the navigational bronchoscopy system. This modality utilizes tomosynthesis with continuous imaging to obtain multiple projections using a C-arm fluoroscopy machine in order to locate the target lesion (Figure S6). This makes real-time localization of the navigation probe more precise, and decreases the effect of CT-to-body divergence.
A prospective study by Hohenforst-Schmidt at al. first reported the use of airway structures overlaid on live fluoroscopy imaging during CBCT-guided bronchoscopy [124]. This technique—also termed “augmented fluoroscopy” (AF)—accurately provides real-time 3D imaging for every movement using the C-arm during the procedure. However, the overlaid images on the live fluoroscopy screen are static, and the true target location on the augmented fluoroscopic view can be obtained accurately only during breath holding.
By contrast, augmented fluoroscopy using the LungVision system can provide precise real-time target location during navigation and tissue sampling, with persistent dynamic tracing to the target.
14. LungVisonTM System
The LungVision™ system (Body Vision Medical Ltd., Ramat Ha Sharon, Israel, FDA approved in May 2017) is an image navigation system that integrates multimodal images and modalities of three-dimensional reconstructive maps generated from preoperative CT images, bronchoscopy, RP-EBUS, biopsy instruments, and intraprocedural real-time fluoroscopic visualization of airways to enable real-time augmented endobronchial fluoroscopic navigation, localization, and tissue sampling of PPLs. Guided pathways to the lesion are projected on the fluoroscopic screen in real time, directing the bronchoscopist to the highlighted target. Furthermore, the system has probe tracking along with fusional images, without the need for electromagnetic sensors. The software can adjust for motion during breathing and CT-to-body divergence via artificial intelligence [125]. Respiratory motion compensation enables the use of moderate sedation, with no need for general anesthesia or paralytic agents. The LungVision™ 2.0 system (FDA approved in May 2019) uses an image registration technique through powerful artificial intelligence algorithms, real-time tool-in-lesion confirmation through C-Arm-based tomography (CABT) technology—which is an alternative to CBCT—and navigation tool integration (RP-EBUS, EMN, etc.). Additional advantages are reduced cost and decreased radiation exposure, where the average radiation dose is 2.76 mSv, similar to low-dose CT. Previous reports have shown experience with this system [126,127,128].
A prospective analysis by Pritchett et al. reported that the average distance between lesion location measured by LungVision augmented fluoroscopy and actual location measured by CBCT was 5.9 mm. Lesion localization success rate and diagnostic yield were 96.1% and 78.4%, respectively. Diagnostic accuracy at 12 months follow-up was 88.2%. Diagnostic yield for lesions ≤ 2 cm in diameter was 70.6% [119]. Another prospective single-center study showed that the overall diagnostic yield, and that for lesions smaller than 20 mm, were 81.8% and 72.2%, respectively, with the LungVision system [129]. The diagnostic yield was better than those of the VBN and ENB navigation systems [18,27,80]. A multicenter study revealed 93% nodule localization success rate and 75.4% overall diagnostic yield by adding rapid on-site evaluation [130].
Augmented endobronchial fluoroscopic navigation with the LungVision system provides safe, feasible, and real-time lesion localization accuracy. Intraprocedural augmented fluoroscopy with real-time 3D CABT is an effective tool to assist in lung nodule biopsies. LungVision enables real-time nodule and pathway overlay on native fluoroscopy and, furthermore, allows real-time 3D CABT, similar to CBCT imaging, but requiring only a standard fluoroscopy C-arm.
15. Combination Study
Various technologies have been developed in the past two decades, each with its own advantages. The combination of multiple approaches can make the most of their respective advantages and achieve a higher diagnostic yield.
15.1. EBUS+VNB
A study revealed that the diagnosis yield of VBN in conjunction with EBUS was significantly higher than that of EBUS alone for lesions less than 2.0 cm in diameter. The ultrasound probe of EBUS could further confirm the target location in the VBN and EBUS group, and increased diagnostic yield to 70% [49]. Another study revealed that the combination of EBUS-GS and VNB systems (LungPoint) was useful for diagnosing small PPLs [48].
15.2. EBUS+ENB
A prospective randomized controlled trial reported that the combined use of RP-EBUS along with ENB has better diagnostic yield of 88% compared to either technology alone [131]. A single-center retrospective study also demonstrated that ENB combined with RP-EBUS biopsy for the diagnosis of PPLs was safe and effective [132].
15.3. EBUS+Robotic+Fluoro
A small, retrospective, single-center study of 10 patients reported 90% diagnostic yield using RP-EBUS, robotic-assisted navigation with the Ion platform, and multiplanar 3D fluoroscopy with a Cios-Spin mobile 3D C-arm. Navigation to the target was successful in all cases [133].
15.4. ENB+CBCT+AF
A single-center retrospective study including the combination of ENB, CBCT, and AF in 75 patients achieved a high diagnostic yield of 83.7%, even for very small lesions (median diameter 16.0 mm), with a diagnostic accuracy of 93.5% and low complication rates, with an acceptable amount of radiation dose [106].
15.5. ULTRATHIN+EMN+RP-EBUS+CBCT+AF
Various studies have demonstrated that the combination of multiple modalities—including CT and fluoroscopic capabilities [105], ultrathin bronchoscopy and RP-EBUS [41], EMN [106,134], and transthoracic needle aspiration [102]—can increase the diagnostic yield from 70% to 84% [41,102,105,106,134].
15.6. EMN+RP-EBUS+CBCT+AF
A prospective single-center study revealed that the use of CBCT and AF imaging in addition to the original configuration of EMN and RP-EBUS can significantly increase navigation success, and almost 90% of small lesions could be reached. However, the overall diagnostic accuracy of 72.4% did not increase with the consistently higher navigation success. A more effective tissue acquisition methodology may improve the overall diagnostic yield [117].
16. Conclusions
Prior studies have demonstrated that when technologies are used in combination, the diagnostic yield of PPLs incrementally increases. That is to say, such technologies are not replacements but, rather, complementary to one another in combination. This improved diagnostic value and precise localization are vital for the development of bronchoscopic therapeutic techniques for PPLs, including local ablation in the future.
Numerous studies have used the superDimension™ platform. However, emerging evidence has demonstrated better results with the use of the SPiN Thoracic Navigation System™ and SPiN Perc™, Monarch™, and the Intuitive Ion™. Robotic-assisted systems can maintain stability during instrument exchange and tissue sampling. In Table 1, we briefly review the diagnostic yields and complication rates of studies using these systems (Table 1).
Table 1.
Clinical trial data.
RP-EBUS-GS can further confirm the relative position (within, adjacent, or outside) of the target lesion and instrument when the navigation shows that the target has been reached, and exchange instruments along the GS to maintain the right pathway.
CBCT plays an important role in bronchoscopic procedures by identifying the relative locations of the instrument and the target lesion during sampling under real-time guidance, and decreasing CT-to-body divergence.
Augmented fluoroscopy using the LungVision system can localize target lesions and sample tissue more accurately under persistent real-time navigation and dynamic tracing to the target.
Sampling tools are selected according to the characteristics and location of the PPL. The sampling needs to obtain enough specimens for genetic analysis. The 1.5 mm forceps are relatively small and are widely used. Standard biopsy forceps or ultrathin cryoprobes are recommended for ground–glass opacity lesions due to the need for larger volume specimens. The puncture needle is recommended while the instrument is not within or adjacent to the PPL.
The ROSE can increase the sensitivity, improve the diagnostic yield, and shorten the operation time for RP-EBUS in the diagnosis of PPLs, and provides feedback on the specimens obtained during the procedure [138,139].
Cost, lesion accessibility, and pulmonologist experience should be considered when selecting these modalities for identifying the least invasive approach.
Moreover, bronchoscopic ablation should be performed only if we can accurately and reproducibly localize the target, obtain enough specimen for diagnosis, and stay at the center of the lesion for long enough to complete the ablation therapy. This necessitates a complete change in the way we use this technique or those of other fields, and will require further innovation and collaboration.
Supplementary Materials
The following are available online at https://www.mdpi.com/article/10.3390/diagnostics11111984/s1, Figure S1. The equipment and image of Endobronchial ultrasound, Figure S2. Flexible bronchoscopes, Figure S3. Virtual navigation images on LungPoint system, Figure S4. The Electromagnetic navigation image of superDimensionTM System, Figure S5. The Cone-beam computed tomography, Figure S6. The image of augmented fluoroscopy.
Author Contributions
Conceptualization, C.-Y.T. and C.-H.C.; writing—original draft preparation, C.-Y.T., C.-H.C. and Y.-C.S.; writing—review and editing, C.-Y.T., C.-H.C. and Y.-C.S.; visualization, C.-H.C.; supervision, C.-Y.T. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Conflicts of Interest
The authors declare no conflict of interest.
References
- de Koning, H.J.; Meza, R.; Plevritis, S.K.; Ten Haaf, K.; Munshi, V.N.; Jeon, J.; Erdogan, S.A.; Kong, C.Y.; Han, S.S.; van Rosmalen, J.; et al. Benefits and harms of computed tomography lung cancer screening strategies: A comparative modeling study for the U.S. Preventive Services Task Force. Ann. Intern. Med. 2014, 160, 311–320. [Google Scholar] [CrossRef]
- Park, C.H.; Han, K.; Hur, J.; Lee, S.M.; Lee, J.W.; Hwang, S.H.; Seo, J.S.; Lee, K.H.; Kwon, W.; Kim, T.H.; et al. Comparative Effectiveness and Safety of Preoperative Lung Localization for Pulmonary Nodules: A Systematic Review and Meta-analysis. Chest 2017, 151, 316–328. [Google Scholar] [CrossRef] [PubMed]
- National Lung Screening Trial Research Team. Reduced lung-cancer mortality with low-dose computed tomographic screening. N. Engl. J. Med. 2011, 365, 395–409. [Google Scholar] [CrossRef] [PubMed]
- Ellis, P.M.; VanderMeer, R. Delays in the diagnosis of lung cancer. J. Thorac. Dis. 2011, 3, 183–188. [Google Scholar] [CrossRef]
- Yousaf-Khan, U.; Van Der Aalst, C.; De Jong, P.A.; Heuvelmans, M.; Scholten, E.; Lammers, J.-W.; van Ooijen, P.; Nackaerts, K.; Weenink, C.; Groen, H.; et al. Final screening round of the NELSON lung cancer screening trial: The effect of a 2.5-year screening interval. Thorax 2017, 72, 48–56. [Google Scholar] [CrossRef]
- Silvestri, G.A.; Gonzalez, A.V.; Jantz, M.A.; Margolis, M.L.; Gould, M.K.; Tanoue, L.T.; Harris, L.J.; Detterbeck, F.C. Methods for staging non-small cell lung cancer: Diagnosis and management of lung cancer, 3rd ed: American College of Chest Physicians evidence-based clinical practice guidelines. Chest 2013, 143 (Suppl. 5), e211S–e250S. [Google Scholar] [CrossRef]
- Sachdeva, M.; Ronaghi, R.; Mills, P.K.; Peterson, M.W. Complications and Yield of Computed Tomography-Guided Transthoracic Core Needle Biopsy of Lung Nodules at a High-Volume Academic Center in an Endemic Coccidioidomycosis Area. Lung 2016, 194, 379–385. [Google Scholar] [CrossRef] [PubMed]
- Gould, M.K.; Fletcher, J.; Iannettoni, M.D.; Lynch, W.R.; Midthun, D.E.; Naidich, D.P.; Ost, D.E. Evidence for the treatment of patients with pulmonary nodules: When is it lung cancer?: ACCP evidence-based clinical practice guidelines (2nd edition). Chest 2007, 132 (Suppl. 3), 94s–107s. [Google Scholar] [CrossRef] [PubMed]
- Chao, T.-Y.; Lie, C.-H.; Chung, Y.-H.; Wang, J.-L.; Wang, Y.-H.; Lin, M.-C. Differentiating Peripheral Pulmonary Lesions Based on Images of Endobronchial Ultrasonography. Chest 2006, 130, 1191–1197. [Google Scholar] [CrossRef]
- Khan, K.A.; Nardelli, P.; Jaeger, A.; O’Shea, C.; Cantillon-Murphy, P.; Kennedy, M.P. Navigational Bronchoscopy for Early Lung Cancer: A Road to Therapy. Adv. Ther. 2016, 33, 580–596. [Google Scholar] [CrossRef]
- Gould, M.K.; Fletcher, J.; Iannettoni, M.D.; Lynch, W.R.; Midthun, D.E.; Naidich, D.; Ost, D. Evaluation of Patients With Pulmonary Nodules: When Is It Lung Cancer?: ACCP Evidence-Based Clinical Practice Guidelines (2nd Edition). Chest 2007, 132 (Suppl. 3), 108S–130S. [Google Scholar] [CrossRef] [PubMed]
- Rzyman, W.; Szurowska, E.; Adamek, M. Implementation of lung cancer screening at the national level: Polish example. Transl. Lung Cancer Res. 2019, 8 (Suppl. 1), S95–S105. [Google Scholar] [CrossRef] [PubMed]
- Pedersen, J.H.; Sørensen, J.B.; Saghir, Z.; Fløtten, Ø.; Brustugun, O.T.; Ashraf, H.; Strand, T.-E.; Friesland, S.; Koyi, H.; Ek, L.; et al. Implementation of lung cancer CT screening in the Nordic countries. Acta Oncol. 2017, 56, 1249–1257. [Google Scholar] [CrossRef]
- Pastorino, U.; Sverzellati, N.; Sestini, S.; Silva, M.; Sabia, F.; Boeri, M.; Cantarutti, A.; Sozzi, G.; Corrao, G.; Marchianò, A. Ten-year results of the Multicentric Italian Lung Detection trial demonstrate the safety and efficacy of biennial lung cancer screening. Eur. J. Cancer 2019, 118, 142–148. [Google Scholar] [CrossRef] [PubMed]
- Oudkerk, M.; Devaraj, A.; Vliegenthart, R.; Henzler, T.; Prosch, H.; Heussel, C.P.; Bastarrika, G.; Sverzellati, N.; Mascalchi, M.; Delorme, S.; et al. European position statement on lung cancer screening. Lancet Oncol. 2017, 18, e754–e766. [Google Scholar] [CrossRef]
- Casal, R.F. Cone Beam CT-Guided Bronchoscopy: Here to Stay? J. Bronchol. Interv. Pulmonol. 2018, 25, 255–256. [Google Scholar] [CrossRef] [PubMed]
- Steinfort, D.P.; Vrjlic, I.; Irving, L.B. Augmented Fluoroscopy for Guidance of Bronchoscopic Biopsy of Pulmonary Nodules: Best of Both Worlds? J. Bronchol. Interv. Pulmonol. 2019, 26, e27–e29. [Google Scholar] [CrossRef]
- Jiang, S.; Xie, F.; Mao, X.; Ma, H.; Sun, J. The value of navigation bronchoscopy in the diagnosis of peripheral pulmonary lesions: A meta-analysis. Thorac. Cancer 2020, 11, 1191–1201. [Google Scholar] [CrossRef] [PubMed]
- Yoshikawa, M.; Sukoh, N.; Yamazaki, K.; Kanazawa, K.; Fukumoto, S.-I.; Harada, M.; Kikuchi, E.; Munakata, M.; Nishimura, M.; Isobe, H. Diagnostic Value of Endobronchial Ultrasonography With a Guide Sheath for Peripheral Pulmonary Lesions without X-ray Fluoroscopy. Chest 2007, 131, 1788–1793. [Google Scholar] [CrossRef]
- Kato, A.; Yasuo, M.; Tokoro, Y.; Kobayashi, T.; Ichiyama, T.; Tateishi, K.; Ushiki, A.; Urushihata, K.; Yamamoto, H.; Hanaoka, M. Virtual bronchoscopic navigation as an aid to CT-guided transbronchial biopsy improves the diagnostic yield for small peripheral pulmonary lesions. Respirology 2018, 23, 1049–1054. [Google Scholar] [CrossRef]
- Yamada, N.; Yamazaki, K.; Kurimoto, N.; Asahina, H.; Kikuchi, E.; Shinagawa, N.; Oizumi, S.; Nishimura, M. Factors Related to Diagnostic Yield of Transbronchial Biopsy Using Endobronchial Ultrasonography With a Guide Sheath in Small Peripheral Pulmonary Lesions. Chest 2007, 132, 603–608. [Google Scholar] [CrossRef] [PubMed]
- Moon, S.M.; Choe, J.; Jeong, B.-H.; Um, S.-W.; Kim, H.; Kwon, O.J.; Lee, K. Diagnostic Performance of Radial Probe Endobronchial Ultrasound without a Guide-Sheath and the Feasibility of Molecular Analysis. Tuberc. Respir. Dis. 2019, 82, 319–327. [Google Scholar] [CrossRef] [PubMed]
- Yu, K.-L.; Tsai, T.-H.; Ho, C.-C.; Liao, W.-Y.; Lin, C.-K.; Hsu, C.-L.; Shih, J.-Y. The value of radial endobronchial ultrasound-guided bronchial brushing in peripheral non-squamous non-small cell lung cancer. Sci. Rep. 2018, 8, 1–8. [Google Scholar] [CrossRef] [PubMed]
- Good, W.R.; Christensen, P.M.; Herath, S.; Dawkins, P.; Yap, E. Radial-probe endobronchial ultrasound outcomes in the investigation of peripheral pulmonary lesions: A New Zealand perspective. Intern. Med. J. 2018, 48, 1481–1487. [Google Scholar] [CrossRef] [PubMed]
- Mondoni, M.; Sotgiu, G.; Bonifazi, M.; Dore, S.; Parazzini, E.M.; Carlucci, P.; Gasparini, S.; Centanni, S. Transbronchial needle aspiration in peripheral pulmonary lesions: A systematic review and meta-analysis. Eur. Respir. J. 2016, 48, 196–204. [Google Scholar] [CrossRef] [PubMed]
- Kalanjeri, S.; Holladay, R.C.; Gildea, T.R. State-of-the-Art Modalities for Peripheral Lung Nodule Biopsy. Clin. Chest Med. 2018, 39, 125–138. [Google Scholar] [CrossRef] [PubMed]
- Memoli, J.S.W.; Nietert, P.; Silvestri, G.A. Meta-analysis of Guided Bronchoscopy for the Evaluation of the Pulmonary Nodule. Chest 2012, 142, 385–393. [Google Scholar] [CrossRef]
- Bowling, M.R.; Kohan, M.W.; Walker, P.; Efird, J.; Ben Or, S. The Effect of General Anesthesia Versus Intravenous Sedation on Diagnostic Yield and Success in Electromagnetic Navigation Bronchoscopy. J. Bronchol. Interv. Pulmonol. 2015, 22, 5–13. [Google Scholar] [CrossRef] [PubMed]
- Lamprecht, B.; Porsch, P.; Wegleitner, B.; Strasser, G.; Kaiser, B.; Studnicka, M. Electromagnetic navigation bronchoscopy (ENB): Increasing diagnostic yield. Respir. Med. 2012, 106, 710–715. [Google Scholar] [CrossRef] [PubMed]
- Cherian, S.V.; Kaur, S.; Karanth, S.; Xian, J.Z.; Estrada-Y-Martin, R.M. Diagnostic yield of electromagnetic navigational bronchoscopy: A safety net community-based hospital experience in the United States. Ann. Thorac. Med. 2021, 16, 102–109. [Google Scholar] [CrossRef]
- Oh, J.H.; Choi, C.; Kim, S.; Kim, W.S.; Hwang, H.S.; Jang, S.J.; Oh, S.Y.; Kim, M.Y.; Lee, J.C.; Ji, W. Diagnostic yield and safety of biopsy guided by electromagnetic navigation bronchoscopy for high-risk pulmonary nodules. Thorac. Cancer 2021, 12, 1503–1510. [Google Scholar] [CrossRef]
- Steinfort, D.P.; Khor, Y.H.; Manser, R.L.; Irving, L.B. Radial probe endobronchial ultrasound for the diagnosis of peripheral lung cancer: Systematic review and meta-analysis. Eur. Respir. J. 2010, 37, 902–910. [Google Scholar] [CrossRef] [PubMed]
- Seijo, L.M.; de Torres, J.P.; Lozano, M.D.; Bastarrika, G.; Alcaide, A.B.; Lacunza, M.M.; Zulueta, J.J. Diagnostic yield of electromagnetic navigation bronchoscopy is highly dependent on the presence of a Bronchus sign on CT imaging: Results from a prospective study. Chest 2010, 138, 1316–1321. [Google Scholar] [CrossRef]
- Folch, E.E.; Pritchett, M.A.; Nead, M.A.; Bowling, M.R.; Murgu, S.D.; Krimsky, W.S.; Murillo, B.A.; LeMense, G.P.; Minnich, D.J.; Bansal, S.; et al. Electromagnetic Navigation Bronchoscopy for Peripheral Pulmonary Lesions: One-Year Results of the Prospective, Multicenter NAVIGATE Study. J. Thorac. Oncol. 2019, 14, 445–458. [Google Scholar] [CrossRef] [PubMed]
- Chavez, C.; Sasada, S.; Izumo, T.; Watanabe, J.; Katsurada, M.; Matsumoto, Y.; Tsuchida, T. Endobronchial ultrasound with a guide sheath for small malignant pulmonary nodules: A retrospective comparison between central and peripheral locations. J. Thorac. Dis. 2015, 7, 596–602. [Google Scholar] [CrossRef]
- Rivera, M.P.; Mehta, A.C.; Wahidi, M.M. Establishing the diagnosis of lung cancer: Diagnosis and management of lung cancer, 3rd ed: American College of Chest Physicians evidence-based clinical practice guidelines. Chest 2013, 143 (Suppl. 5), e142S–e165S. [Google Scholar] [CrossRef]
- Tsuboi, E.; Ikeda, S.; Tajima, M.; Shimosato, Y.; Ishikawa, S. Transbronchial biopsy smear for diagnosis of peripheral pulmonary carcinomas. Cancer 1967, 20, 687–698. [Google Scholar] [CrossRef]
- Bellinger, C.; Poon, R.; Dotson, T.; Sharma, D. Lesion characteristics affecting yield of electromagnetic navigational bronchoscopy. Respir. Med. 2021, 180, 106357. [Google Scholar] [CrossRef]
- Ost, D.E.; Ernst, A.; Lei, X.; Kovitz, K.L.; Benzaquen, S.; Diaz-Mendoza, J.; Greenhill, S.; Toth, J.; Feller-Kopman, D.; Puchalski, J.; et al. Diagnostic Yield and Complications of Bronchoscopy for Peripheral Lung Lesions. Results of the AQuIRE Registry. Am. J. Respir. Crit. Care Med. 2016, 193, 68–77. [Google Scholar] [CrossRef]
- Lim, J.H.; Kim, M.J.; Jeon, S.-H.; Park, M.H.; Kim, W.Y.; Lee, M.; Kim, J.H.; Kim, J.S.; Kim, Y.S.; Kim, L.; et al. The optimal sequence of bronchial brushing and washing for diagnosing peripheral lung cancer using non-guided flexible bronchoscopy. Sci. Rep. 2020, 10, 1036–1037. [Google Scholar] [CrossRef]
- Casal, R.F.; Sarkiss, M.; Jones, A.K.; Stewart, J.; Tam, A.; Grosu, H.B.; Ost, D.E.; Jimenez, C.A.; Eapen, G.A. Cone beam computed tomography-guided thin/ultrathin bronchoscopy for diagnosis of peripheral lung nodules: A prospective pilot study. J. Thorac. Dis. 2018, 10, 6950–6959. [Google Scholar] [CrossRef]
- Chen, A.; Pastis, N.; Furukawa, B.; Silvestri, G.A. The Effect of Respiratory Motion on Pulmonary Nodule Location during Electromagnetic Navigation Bronchoscopy. Chest 2015, 147, 1275–1281. [Google Scholar] [CrossRef] [PubMed]
- Panchabhai, T.S.; Mehta, A.C. Historical Perspectives of Bronchoscopy. Connecting the Dots. Ann. Am. Thorac. Soc. 2015, 12, 631–641. [Google Scholar] [CrossRef] [PubMed]
- Becker, H.D. Endobronchial ultrasound—A new perspective in bronchology. Ultraschall. Med. 1996, 17, 106–112. [Google Scholar] [CrossRef] [PubMed]
- Hurter, T.; Hanrath, P. Endobronchial sonography: Feasibility and preliminary results. Thorax 1992, 47, 565–567. [Google Scholar] [CrossRef]
- Spiro, S.G.; Gould, M.K.; Colice, G.L. Initial evaluation of the patient with lung cancer: Symptoms, signs, laboratory tests, and paraneoplastic syndromes: ACCP evidenced-based clinical practice guidelines (2nd edition). Chest 2007, 132 (Suppl. 3), 149s–160s. [Google Scholar] [CrossRef]
- Kurimoto, N.; Miyazawa, T.; Okimasa, S.; Maeda, A.; Oiwa, H.; Miyazu, Y.; Murayama, M. Endobronchial Ultrasonography Using a Guide Sheath Increases the Ability To Diagnose Peripheral Pulmonary Lesions Endoscopically. Chest 2004, 126, 959–965. [Google Scholar] [CrossRef] [PubMed]
- Tamiya, M.; Okamoto, N.; Sasada, S.; Shiroyama, T.; Morishita, N.; Suzuki, H.; Yoshida, E.; Hirashima, T.; Kawahara, K.; Kawase, I. Diagnostic yield of combined bronchoscopy and endobronchial ultrasonography, under LungPoint guidance for small peripheral pulmonary lesions. Respirology 2013, 18, 834–839. [Google Scholar] [CrossRef]
- Xu, C.; Wang, Y.; Li, L.; Yuan, Q.; Wang, Y.; Hu, H.; Zhang, X. Diagnostic Value of Virtual Bronchoscopic Navigation Combined With Endobronchial Ultrasound Guided Transbronchial Lung Biopsy for Peripheral Pulmonary Lesions. Technol. Cancer Res. Treat. 2021, 20. [Google Scholar] [CrossRef]
- Kikuchi, E.; Yamazaki, K.; Sukoh, N.; Asahina, H.; Imura, M.; Onodera, Y.; Kurimoto, N.; Kinoshita, I.; Nishimura, M. Endobronchial ultrasonography with guide-sheath for peripheral pulmonary lesions. Eur. Respir. J. 2004, 24, 533–537. [Google Scholar] [CrossRef] [PubMed]
- Facciolongo, N.; Patelli, M.; Gasparini, S.; Agli, L.L.; Salio, M.; Simonassi, C.; Del Prato, B.; Zanoni, P. Incidence of complications in bronchoscopy. Multicentre prospective study of 20,986 bronchoscopies. Monaldi Arch. Chest Dis. 2009, 71, 8–14. [Google Scholar] [CrossRef]
- Hayama, M.; Izumo, T.; Matsumoto, Y.; Chavez, C.; Tsuchida, T.; Sasada, S. Complications with Endobronchial Ultrasound with a Guide Sheath for the Diagnosis of Peripheral Pulmonary Lesions. Respiration 2015, 90, 129–135. [Google Scholar] [CrossRef]
- Wang, G.; Zhang, L.; Wu, H. Endobronchial ultrasonography using a guide sheath technique for diagnosis of peripheral pulmonary lesions. Endosc. Ultrasound 2017, 6, 292–299. [Google Scholar] [CrossRef]
- Ali, M.S.; Trick, W.; Mba, B.I.; Mohananey, D.; Sethi, J.; Musani, A.I. Radial endobronchial ultrasound for the diagnosis of peripheral pulmonary lesions: A systematic review and meta-analysis. Respirology 2017, 22, 443–453. [Google Scholar] [CrossRef]
- Prakash, U.B. The use of the pediatric fiberoptic bronchoscope in adults. Am. Rev. Respir. Dis. 1985, 132, 715–717. [Google Scholar] [CrossRef]
- Hasegawa, S.; Hitomi, S.; Murakawa, M.; Mori, K. Development of an Ultrathin Fiberscope with a Built-in Channel for Bronchoscopy in Infants. Chest 1996, 110, 1543–1546. [Google Scholar] [CrossRef][Green Version]
- Franzen, D.; Diacon, A.H.; Freitag, L.; Schubert, P.T.; Wright, C.A.; Schuurmans, M.M. Ultrathin bronchoscopy for solitary pulmonary lesions in a region endemic for tuberculosis: A randomised pilot trial. BMC Pulm. Med. 2016, 16, 62. [Google Scholar] [CrossRef]
- Oki, M.; Saka, H.; Ando, M.; Asano, F.; Kurimoto, N.; Morita, K.; Kitagawa, C.; Kogure, Y.; Miyazawa, T. Ultrathin Bronchoscopy with Multimodal Devices for Peripheral Pulmonary Lesions. A Randomized Trial. Am. J. Respir. Crit. Care Med. 2015, 192, 468–476. [Google Scholar] [CrossRef]
- Sumi, T.; Ikeda, T.; Sawai, T.; Shijubou, N.; Kure, K.; Yamada, Y.; Nakata, H.; Mori, Y.; Takahashi, H. Comparison of ultrathin bronchoscopy with conventional bronchoscopy for the diagnosis of peripheral lung lesions without virtual bronchial navigation. Respir. Investig. 2020, 58, 376–380. [Google Scholar] [CrossRef]
- Giri, M.; Puri, A.; Wang, T.; Huang, G.; Guo, S. Virtual bronchoscopic navigation versus non-virtual bronchoscopic navigation assisted bronchoscopy for the diagnosis of peripheral pulmonary lesions: A systematic review and meta-analysis. Ther. Adv. Respir. Dis. 2021, 15. [Google Scholar] [CrossRef]
- Liu, Y.; Wang, F.; Zhang, Q.-C.; Tong, Z.-H. Value of virtual bronchoscopic navigation and transbronchial ultrasound-guided sheath-guided exploration in diagnosis of peripheral lung cancer. World J. Clin. Cases 2020, 8, 3450–3457. [Google Scholar] [CrossRef]
- Kitamura, A.; Okafuji, K.; Imai, R.; Murakami, M.; Ro, S.; Tomishima, Y.; Jinta, T.; Nishimura, N.; Tamura, T. Reproducibility of peripheral branches in virtual bronchoscopic navigation using VINCENT and LungPoint software for peripheral lung lesions. Respir. Investig. 2021. [Google Scholar] [CrossRef]
- Schwarz, Y.; Greif, J.; Becker, H.D.; Ernst, A.; Mehta, A. Real-time electromagnetic navigation bronchoscopy to peripheral lung lesions using overlaid CT images: The first human study. Chest 2006, 129, 988–994. [Google Scholar] [CrossRef]
- Leong, S.; Ju, H.; Marshall, H.; Bowman, R.; Yang, I.; Ree, A.-M.; Saxon, C.; Fong, K.M. Electromagnetic navigation bronchoscopy: A descriptive analysis. J. Thorac. Dis. 2012, 4, 173–185. [Google Scholar] [CrossRef]
- Gould, M.K.; Donington, J.; Lynch, W.R.; Mazzone, P.J.; Midthun, D.E.; Naidich, D.P.; Wiener, R.S. Evaluation of individuals with pulmonary nodules: When is it lung cancer? Diagnosis and management of lung cancer, 3rd ed: American College of Chest Physicians evidence-based clinical practice guidelines. Chest 2013, 143 (Suppl. 5), e93S–e120S. [Google Scholar] [CrossRef]
- Ettinger, D.S.; Wood, D.E.; Aisner, D.L.; Akerley, W.; Bauman, J.; Chirieac, L.R.; D’Amico, T.A.; DeCamp, M.M.; Dilling, T.J.; Dobelbower, M.; et al. Non–Small Cell Lung Cancer, Version 5.2017, NCCN Clinical Practice Guidelines in Oncology. J. Natl. Compr. Cancer Netw. 2017, 15, 504–535. [Google Scholar] [CrossRef]
- Burks, A.C.; Akulian, J. Bronchoscopic Diagnostic Procedures Available to the Pulmonologist. Clin. Chest Med. 2020, 41, 129–144. [Google Scholar] [CrossRef]
- Cicenia, J.; Avasarala, S.K.; Gildea, T.R. Navigational bronchoscopy: A guide through history, current use, and developing technology. J. Thorac. Dis. 2020, 12, 3263–3271. [Google Scholar] [CrossRef]
- Mallow, C.; Lee, H.; Oberg, C.; Thiboutot, J.; Akulian, J.; Burks, A.C.; Luna, B.; Benzaquen, S.; Batra, H.; Cardenas-Garcia, J.; et al. Safety and diagnostic performance of pulmonologists performing electromagnetic guided percutaneous lung biopsy (SPiNperc). Respirology 2019, 24, 453–458. [Google Scholar] [CrossRef]
- Yarmus, L.B.; Arias, S.; Feller-Kopman, D.; Semaan, R.; Wang, K.P.; Frimpong, B.; Burgess, K.O.; Thompson, R.; Chen, A.; Ortiz, R.; et al. Electromagnetic navigation transthoracic needle aspiration for the diagnosis of pulmonary nodules: A safety and feasibility pilot study. J. Thorac. Dis. 2016, 8, 186–194. [Google Scholar] [CrossRef]
- Thiboutot, J.; Lee, H.J.; Silvestri, G.A.; Chen, A.; Wahidi, M.M.; Gilbert, C.R.; Pastis, N.J.; Los, J.; Barriere, A.M.; Mallow, C.; et al. Study Design and Rationale: A Multicenter, Prospective Trial of Electromagnetic Bronchoscopic and Electromagnetic Transthoracic Navigational Approaches for the Biopsy of Peripheral Pulmonary Nodules (ALL IN ONE Trial). Contemp. Clin. Trials 2018, 71, 88–95. [Google Scholar] [CrossRef] [PubMed]
- Muñoz-Largacha, J.A.; Batra, H.; Wei, B. Navigational Bronchoscopy with Interventional Pulmonologists and Thoracic Surgeons. Innov. Technol. Tech. Cardiothorac. Vasc. Surg. 2021, 16, 117–122. [Google Scholar] [CrossRef]
- Sun, J.; Yi, X.; Zhang, X. Diagnostic value of electromagnetic navigation bronchoscopy with a guide sheath for peripheral pulmonary lesions: A randomized controlled trial. In Proceedings of the 16th World Conference on Lung Cancer, Denver, CO, USA, 6–9 September 2015. [Google Scholar]
- Zheng, X.; Cao, L.; Zhang, Y. A Novel Electromagnetic Navigation Bronchoscopy System Combined with Endobronchial Ultrasound for the Diagnosis of Peripheral Pulmonary Lesions: A Prospective Multicenter Randomized Controlled Clinical Trial. In Proceedings of the 2020 the World Congress of Bronchology and Interventional Pulmonology, Shanghai, China, 19–22 November 2020. [Google Scholar]
- Geraci, T.C.; Ferrari-Light, D.; Kent, A.; Michaud, G.; Zervos, M.; Pass, H.; Cerfolio, R. Technique, Outcomes With Navigational Bronchoscopy Using Indocyanine Green for Robotic Segmentectomy. Ann. Thorac. Surg. 2019, 108, 363–369. [Google Scholar] [CrossRef]
- Yang, Y.; Li, Z.; Huang, W.; Zhuang, J.; Lin, D.; Zhong, W.; Lan, B. Electromagnetic navigation bronchoscopic localization versus percutaneous CT-guided localization for thoracoscopic resection of small pulmonary nodules. Thorac. Cancer 2021, 12, 468–474. [Google Scholar] [CrossRef]
- Patrucco, F.; Gavelli, F.; Daverio, M.; Antonini, C.; Boldorini, R.; Casadio, C.; Balbo, P.E. Electromagnetic Navigation Bronchoscopy: Where Are We Now? Five Years of a Single-Center Experience. Lung 2018, 196, 721–727. [Google Scholar] [CrossRef]
- Sun, J.; Xie, F.; Zheng, X.; Jiang, Y.; Zhu, L.; Mao, X.; Han, B. Learning curve of electromagnetic navigation bronchoscopy for diagnosing peripheral pulmonary nodules in a single institution. Transl. Cancer Res. 2017, 6, 541–551. [Google Scholar] [CrossRef]
- Gex, G.; Pralong, J.A.; Combescure, C.; Seijo, L.; Rochat, T.; Soccal, P.M. Diagnostic Yield and Safety of Electromagnetic Navigation Bronchoscopy for Lung Nodules: A Systematic Review and Meta-Analysis. Respiration 2014, 87, 165–176. [Google Scholar] [CrossRef]
- Zhang, W.; Chen, S.; Dong, X.; Lei, P. Meta-analysis of the diagnostic yield and safety of electromagnetic navigation bronchoscopy for lung nodules. J. Thorac. Dis. 2015, 7, 799–809. [Google Scholar] [CrossRef]
- Folch, E.E.; Labarca, G.; Ospina-Delgado, D.; Kheir, F.; Majid, A.; Khandhar, S.J.; Mehta, H.J.; Jantz, M.A.; Fernandez-Bussy, S. Sensitivity and Safety of Electromagnetic Navigation Bronchoscopy for Lung Cancer Diagnosis. Chest 2020, 158, 1753–1769. [Google Scholar] [CrossRef] [PubMed]
- Becker, H.D.; Herth, F.; Ernst, A.; Schwarz, Y. Bronchoscopic Biopsy of Peripheral Lung Lesions under Electromagnetic Guidance: A Pilot Study. J. Bronchol. Interv. Pulmonol. 2005, 12, 9–13. [Google Scholar] [CrossRef]
- Mohanasundaram, U.; Ho, L.A.; Kuschner, W.G.; Chitkara, R.K.; Canfield, J.; Canfield, L.M.; Krishna, G. The Diagnostic Yield of Navigational Bronchoscopy Performed with Propofol Deep Sedation. ISRN Endosc. 2013, 2013, 1–5. [Google Scholar] [CrossRef]
- Khandhar, S.J.; for the NAVIGATE Study Investigators; Bowling, M.R.; Flandes, J.; Gildea, T.R.; Hood, K.L.; Krimsky, W.S.; Minnich, D.J.; Murgu, S.D.; Pritchett, M.; et al. Electromagnetic navigation bronchoscopy to access lung lesions in 1000 subjects: First results of the prospective, multicenter NAVIGATE study. BMC Pulm. Med. 2017, 17, 1–9. [Google Scholar] [CrossRef] [PubMed]
- Rickets, W.; Lau, K.K.W.; Pollit, V.; Mealing, S.; Leonard, C.; Mallender, P.; Chaudhari, N.; Shah, P.; Naidu, U.B. Exploratory cost-effectiveness model of electromagnetic navigation bronchoscopy (ENB) compared with CT-guided biopsy (TTNA) for diagnosis of malignant indeterminate peripheral pulmonary nodules. BMJ Open Respir. Res. 2020, 7, e000595. [Google Scholar] [CrossRef]
- Rojas-Solano, J.R.; Ugalde-Gamboa, L.; Machuzak, M. Robotic Bronchoscopy for Diagnosis of Suspected Lung Cancer: A Feasibility Study. J. Bronchol. Interv. Pulmonol. 2018, 25, 168–175. [Google Scholar] [CrossRef]
- Fielding, D.I.; Bashirzadeh, F.; Son, J.H.; Todman, M.; Chin, A.; Tan, L.; Steinke, K.; Windsor, M.N.; Sung, A.W. First Human Use of a New Robotic-Assisted Fiber Optic Sensing Navigation System for Small Peripheral Pulmonary Nodules. Respiration 2019, 98, 142–150. [Google Scholar] [CrossRef]
- Agrawal, A.; Hogarth, D.K.; Murgu, S. Robotic bronchoscopy for pulmonary lesions: A review of existing technologies and clinical data. J. Thorac. Dis. 2020, 12, 3279–3286. [Google Scholar] [CrossRef]
- Chen, A.C.; Gillespie, C.T. Robotic Endoscopic Airway Challenge: REACH Assessment. Ann. Thorac. Surg. 2018, 106, 293–297. [Google Scholar] [CrossRef]
- Murgu, S.D. Robotic assisted-bronchoscopy: Technical tips and lessons learned from the initial experience with sampling peripheral lung lesions. BMC Pulm. Med. 2019, 19, 1–8. [Google Scholar] [CrossRef]
- Chaddha, U.; Kovacs, S.P.; Manley, C.; Hogarth, D.K.; Cumbo-Nacheli, G.; Bhavani, S.V.; Kumar, R.; Shende, M.; Egan, J.P.; Murgu, S. Robot-assisted bronchoscopy for pulmonary lesion diagnosis: Results from the initial multicenter experience. BMC Pulm. Med. 2019, 19, 1–7. [Google Scholar] [CrossRef]
- Chen, A.C.; Pastis, N.J., Jr.; Mahajan, A.K.; Khandhar, S.J.; Simoff, M.J.; Machuzak, M.S.; Cicenia, J.; Gildea, T.R.; Silvestri, G.A. Robotic Bronchoscopy for Peripheral Pulmonary Lesions: A Multicenter Pilot and Feasibility Study (BENEFIT). Chest 2021, 159, 845–852. [Google Scholar] [CrossRef] [PubMed]
- Transbronchial Biopsy Assisted by Robot Guidance in the Evaluation of Tumors of the Lung (TARGET). Available online: https://clinicaltrials.gov/ct2/show/NCT04182815 (accessed on 21 July 2021).
- How IonWorks: A Comprehensive Look at Intuitive’s Robotic-Assisted Minimally Invasive Biopsy Platform. Available online: https://www.intuitive.com/en-us/products-and-services/ion/how-ion-works (accessed on 23 July 2021).
- PRECIsE: A Prospective Evaluation of the Clinical Utility for the Ion Endoluminal System. Available online: https://clinicaltrials.gov/ct2/show/NCT03893539 (accessed on 28 August 2021).
- Chaddha, U.; Hogarth, D.K.; Murgu, S. Bronchoscopic Ablative Therapies for Malignant Central Airway Obstruction and Peripheral Lung Tumors. Ann. Am. Thorac. Soc. 2019, 16, 1220–1229. [Google Scholar] [CrossRef] [PubMed]
- Chen, A.; Chenna, P.; Loiselle, A.; Massoni, J.; Mayse, M.; Misselhorn, D. Radial Probe Endobronchial Ultrasound for Peripheral Pulmonary Lesions. A 5-Year Institutional Experience. Ann. Am. Thorac. Soc. 2014, 11, 578–582. [Google Scholar] [CrossRef]
- Mehta, A.C.; Hood, K.L.; Schwarz, Y.; Solomon, S.B. The Evolutional History of Electromagnetic Navigation Bronchoscopy: State of the Art. Chest 2018, 154, 935–947. [Google Scholar] [CrossRef]
- Silvestri, G.A.; Bevill, B.T.; Huang, J.; Brooks, M.; Choi, Y.; Kennedy, G.; Lofaro, L.; Chen, A.; Rivera, M.P.; Tanner, N.T.; et al. An Evaluation of Diagnostic Yield from Bronchoscopy: The Impact of Clinical/Radiographic Factors, Procedure Type, and Degree of Suspicion for Cancer. Chest 2020, 157, 1656–1664. [Google Scholar] [CrossRef]
- Tanner, N.T.; Yarmus, L.; Chen, A.; Memoli, J.W.; Mehta, H.J.; Pastis, N.J.; Lee, H.; Jantz, M.A.; Nietert, P.J.; Silvestri, G.A.; et al. Standard Bronchoscopy with Fluoroscopy vs. Thin Bronchoscopy and Radial Endobronchial Ultrasound for Biopsy of Pulmonary Lesions: A Multicenter, Prospective, Randomized Trial. Chest 2018, 154, 1035–1043. [Google Scholar] [CrossRef]
- Zuñiga, P.V.S.; Vakil, E.; Molina, S.; Bassett, R.L., Jr.; Ost, D.E. Sensitivity of Radial Endobronchial Ultrasound-Guided Bronchoscopy for Lung Cancer in Patients With Peripheral Pulmonary Lesions: An Updated Meta-analysis. Chest 2020, 157, 994–1011. [Google Scholar] [CrossRef] [PubMed]
- Hohenforst-Schmidt, W.; Zarogoulidis, P.; Vogl, T.; Turner, J.F.; Browning, R.; Linsmeier, B.; Huang, H.; Li, Q.; Darwiche, K.; Freitag, L.; et al. Cone Beam Computertomography (CBCT) in Interventional Chest Medicine—High Feasibility for Endobronchial Realtime Navigation. J. Cancer 2014, 5, 231–241. [Google Scholar] [CrossRef]
- Bowling, M.R.; Brown, C.; Anciano, C.J. Feasibility and Safety of the Transbronchial Access Tool for Peripheral Pulmonary Nodule and Mass. Ann. Thorac. Surg. 2017, 104, 443–449. [Google Scholar] [CrossRef]
- Ng, C.S.; Yu, S.C.; Lau, R.W.; Yim, A.P. Hybrid DynaCT-guided electromagnetic navigational bronchoscopic biopsy †. Eur. J. Cardiothorac. Surg. 2016, 49 (Suppl. 1), i87–i88. [Google Scholar] [CrossRef] [PubMed][Green Version]
- Park, S.C.; Kim, C.J.; Han, C.H.; Lee, S.M. Factors associated with the diagnostic yield of computed tomography-guided transbronchial lung biopsy. Thorac. Cancer 2017, 8, 153–158. [Google Scholar] [CrossRef]
- Pritchett, M.A.; Schampaert, S.; De Groot, J.A.; Schirmer, C.C.; Van Der Bom, I. Cone-Beam CT with Augmented Fluoroscopy Combined with Electromagnetic Navigation Bronchoscopy for Biopsy of Pulmonary Nodules. J. Bronchol. Interv. Pulmonol. 2018, 25, 274–282. [Google Scholar] [CrossRef] [PubMed]
- Orth, R.; Wallace, M.J.; Kuo, M.D. C-arm Cone-beam CT: General Principles and Technical Considerations for Use in Interventional Radiology. J. Vasc. Interv. Radiol. 2009, 20 (Suppl. 7), S538–S544. [Google Scholar] [CrossRef] [PubMed]
- Glatz, A.C.; Zhu, X.; Gillespie, M.J.; Hanna, B.; Rome, J.J. Use of Angiographic CT Imaging in the Cardiac Catheterization Laboratory for Congenital Heart Disease. JACC Cardiovasc. Imaging 2010, 3, 1149–1157. [Google Scholar] [CrossRef]
- Gill, R.R.; Zheng, Y.; Barlow, J.S.; Jayender, J.; Girard, E.E.; Hartigan, P.M.; Chirieac, L.R.; Belle-King, C.J.; Murray, K.; Sears, C.; et al. Image-guided video assisted thoracoscopic surgery (iVATS)—Phase I-II clinical trial. J. Surg. Oncol. 2015, 112, 18–25. [Google Scholar] [CrossRef] [PubMed]
- Ng, C.S.; Kwok, M.W.T.; Yim, A.P.C.; Wong, R.H.L. Hybrid DynaCT scan-guided localization single-port lobectomy. [Corrected]. Chest 2015, 147, e76–e78. [Google Scholar] [CrossRef] [PubMed]
- Yang, S.-M.; Yu, K.-L.; Lin, J.-H.; Lin, K.-H.; Liu, Y.-L.; Sun, S.-E.; Meng, L.-H.; Ko, H.-J. Cumulative experience of preoperative real-time augmented fluoroscopy-guided endobronchial dye marking for small pulmonary nodules: An analysis of 30 initial patients. J. Formos. Med. Assoc. 2019, 118, 1232–1238. [Google Scholar] [CrossRef]
- Setser, R.; Chintalapani, G.; Bhadra, K.; Casal, R.F. Cone beam CT imaging for bronchoscopy: A technical review. J. Thorac. Dis. 2020, 12, 7416–7428. [Google Scholar] [CrossRef] [PubMed]
- Yang, S.-M.; Yu, K.-L.; Lin, K.-H.; Liu, Y.-L.; Sun, S.-E.; Meng, L.-H.; Ko, H.-J. Localization of Small Pulmonary Nodules Using Augmented Fluoroscopic Bronchoscopy: Experience from 100 Consecutive Cases. World J. Surg. 2020, 44, 2418–2425. [Google Scholar] [CrossRef] [PubMed]
- Sabath, B.F.; Casal, R.F. Bronchoscopic ablation of peripheral lung tumors. J. Thorac. Dis. 2019, 11, 2628–2638. [Google Scholar] [CrossRef]
- Abi-Jaoudeh, N.; Fisher, T.; Jacobus, J.; Skopec, M.; Radaelli, A.; Van Der Bom, I.M.; Wesley, R.; Wood, B. Prospective Randomized Trial for Image-Guided Biopsy Using Cone-Beam CT Navigation Compared with Conventional CT. J. Vasc. Interv. Radiol. 2016, 27, 1342–1349. [Google Scholar] [CrossRef] [PubMed]
- Shure, D. Transbronchial Biopsy and Needle Aspiration. Chest 1989, 95, 1130–1138. [Google Scholar] [CrossRef]
- Verhoeven, R.L.; Fütterer, J.J.; Hoefsloot, W.; Van Der Heijden, E.H. Cone-Beam CT Image Guidance with and without Electromagnetic Navigation Bronchoscopy for Biopsy of Peripheral Pulmonary Lesions. J. Bronchol. Interv. Pulmonol. 2021, 28, 60–69. [Google Scholar] [CrossRef]
- Pritchett, M. Feasibility of the Lungvision Augmented Endobronchial Fluoroscopic Navigation and Localization System: Comparison With Cone Beam CT for Nodule Localization. Chest 2017, 152, A863. [Google Scholar] [CrossRef]
- Pritchett, M.A. Prospective Analysis of a Novel Endobronchial Augmented Fluoroscopic Navigation System for Diagnosis of Peripheral Pulmonary Lesions. J. Bronchol. Interv. Pulmonol. 2021, 28, 107–115. [Google Scholar] [CrossRef]
- Rusca, M.; Proietti, S.; Schnyder, P.; Frascarolo, P.; Hedenstierna, G.; Spahn, D.R.; Magnusson, L. Prevention of Atelectasis Formation During Induction of General Anesthesia. Anesth. Analg. 2003, 97, 1835–1839. [Google Scholar] [CrossRef] [PubMed]
- Pritchett, M.A.; Bhadra, K.; Calcutt, M.; Folch, E. Virtual or reality: Divergence between preprocedural computed tomography scans and lung anatomy during guided bronchoscopy. J. Thorac. Dis. 2020, 12, 1595–1611. [Google Scholar] [CrossRef]
- Gildea, T.R. Lung Lesion Localization and the Diagnostic Drop. Ann. Am. Thorac. Soc. 2016, 13, 1450–1452. [Google Scholar] [CrossRef] [PubMed]
- Chen, A.C.; Loiselle, A.; Zhou, L.; Baty, J.; Misselhorn, D. Localization of Peripheral Pulmonary Lesions Using a Method of Computed Tomography–Anatomic Correlation and Radial Probe Endobronchial Ultrasound Confirmation. Ann. Am. Thorac. Soc. 2016, 13, 1586–1592. [Google Scholar] [CrossRef] [PubMed]
- Hohenforst-Schmidt, W.; Banckwitz, R.; Zarogoulidis, P.; Vogl, T.; Darwiche, K.; Goldberg, E.; Huang, H.; Simoff, M.; Li, Q.; Browning, R.; et al. Radiation Exposure of Patients by Cone Beam CT during Endobronchial Navigation—A Phantom Study. J. Cancer 2014, 5, 192–202. [Google Scholar] [CrossRef]
- Hogarth, D.K. Use of augmented fluoroscopic imaging during diagnostic bronchoscopy. Future Oncol. 2018, 14, 2247–2252. [Google Scholar] [CrossRef]
- Pertzov, B.; Gershman, E.; Kassirer, M.; Heching, M.; Rosengarten, D.; Kramer, M. Use of Lungvision Navigational System to Improve Diagnostic Yield of Peripheral Lung Nodule Biopsy. Chest 2019, 156, A385. [Google Scholar] [CrossRef]
- Pertzov, B.; Unterman, A.; Heching, M.; Gershman, E.; Rosengarten, D.; Kramer, M.R. Use of augmented fluoroscopic navigation and guidance technology with transbronchial cryo biopsy to acquire tissue from peripheral lung nodules. In C110. Interventional Pulmonology: The Swiss Army Knife For Thoracic Oncology; American Thoracic Society: San Diego, CA, USA, 2018; p. A6154. [Google Scholar]
- Bhadra, K. Artificial Intelligence Improves Patient Outcomes for Diagnostics of Pulmonary Nodules During Navigational Bronchoscopy. In A72. Advances in Interventional Pulmonary; American Thoracic Society: Dallas, TX, USA, 2019; p. A2360. [Google Scholar]
- Pertzov, B.; Gershman, E.; Izhakian, S.; Heching, M.; Amor, S.M.; Rosengarten, D.; Kramer, M.R. The LungVision navigational platform for peripheral lung nodule biopsy and the added value of cryobiopsy. Thorac. Cancer 2021, 12, 2007–2012. [Google Scholar] [CrossRef] [PubMed]
- Cicenia, J.; Bhadra, K.; Sethi, S.; Nader, D.A.; Whitten, P.; Hogarth, D.K. Augmented Fluoroscopy: A New and Novel Navigation Platform for Peripheral Bronchoscopy. J. Bronchol. Interv. Pulmonol. 2021, 28, 116–123. [Google Scholar] [CrossRef]
- Eberhardt, R.; Anantham, D.; Ernst, A.; Feller-Kopman, D.; Herth, F. Multimodality bronchoscopic diagnosis of peripheral lung lesions: A randomized controlled trial. Am. J. Respir. Crit. Care Med. 2007, 176, 36–41. [Google Scholar] [CrossRef]
- Wang, N.; Ma, H.; Huang, H.; Feng, Y. Electromagnetic Navigation Bronchoscopy Combined Endobronchial Ultrasound in the Diagnosis of Lung Nodules. Medicine 2021, 100, e23979. [Google Scholar] [CrossRef] [PubMed]
- Kalchiem-Dekel, O.; Fuentes, P.; Bott, M.J.; Beattie, J.A.; Lee, R.P.; Chawla, M.; Husta, B.C. Multiplanar 3D fluoroscopy redefines tool–lesion relationship during robotic-assisted bronchoscopy. Radiology 2021, 26, 120–123. [Google Scholar] [CrossRef]
- Sobieszczyk, M.J.; Yuan, Z.; Li, W.; Krimsky, W. Biopsy of peripheral lung nodules utilizing cone beam computer tomography with and without trans bronchial access tool: A retrospective analysis. J. Thorac. Dis. 2018, 10, 5953–5959. [Google Scholar] [CrossRef]
- Tian, Y.; Wang, C.; Yue, W.; Lu, M.; Tian, H. Comparison of computed tomographic imaging-guided hook wire localization and electromagnetic navigation bronchoscope localization in the resection of pulmonary nodules: A retrospective cohort study. Sci. Rep. 2020, 10, 1–7. [Google Scholar] [CrossRef]
- Bhatt, K.M.; Tandon, Y.K.; Graham, R.; Lau, C.T.; Lempel, J.K.; Azok, J.T.; Mazzone, P.J.; Schneider, E.; Obuchowski, N.A.; Bolen, M.A. Electromagnetic Navigational Bronchoscopy versus CT-guided Percutaneous Sampling of Peripheral Indeterminate Pulmonary Nodules: A Cohort Study. Radiology 2018, 286, 1052–1061. [Google Scholar] [CrossRef] [PubMed]
- Belanger, A.R.; Burks, A.C.; Chambers, D.M.; Ghosh, S.; MacRosty, C.R.; Conterato, A.J.; Rivera, M.P.; Akulian, J.A. Peripheral Lung Nodule Diagnosis and Fiducial Marker Placement Using a Novel Tip-Tracked Electromagnetic Navigation Bronchoscopy System. J. Bronchol. Interv. Pulmonol. 2019, 26, 41–48. [Google Scholar] [CrossRef]
- Milman, N.; Faurschou, P.; Munch, E.; Grode, G. Transbronchial lung biopsy through the fibre optic bronchoscope. Results and complications in 452 examinations. Respir. Med. 1994, 88, 749–753. [Google Scholar] [CrossRef]
- Chen, C.H.; Cheng, W.C.; Wu, B.R.; Chen, C.Y.; Chen, W.C.; Hsia, T.C.; Liao, W.-C.; Tu, C.-Y.; Shih, C.-M.; Hsu, W.-H.; et al. Improved diagnostic yield of bronchoscopy in peripheral pulmonary lesions: Combination of radial probe endobronchial ultrasound and rapid on-site evaluation. J. Thorac. Dis. 2015, 7 (Suppl. 4), S418–S425. [Google Scholar] [PubMed]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).