Search Results (34)

Coronary heart disease, a leading global cause of mortality, has witnessed significant advancement through robotic coronary artery bypass grafting (CABG), with the internal mammary artery (IMA) emerging as the preferred “golden conduit” for its exceptional long-term patency. Despite these advances, robotic-assisted IMA harvesting remains challenging due to the absence of force feedback, complex surgical maneuvers, and proximity to the beating heart. This study introduces a novel virtual simulation platform for robotic IMA harvesting that integrates dynamic anatomical modeling and real-time haptic feedback. By incorporating a dynamic cardiac model into the surgical scene, our system precisely simulates the impact of cardiac pulsation on thoracic cavity operations. The platform features high-fidelity representations of thoracic anatomy and soft tissue deformation, underpinned by a comprehensive biomechanical framework encompassing fascia, adipose tissue, and vascular structures. Our key innovations include a topology-preserving cutting algorithm, a bidirectional tissue coupling mechanism, and dual-channel haptic feedback for electrocautery simulation. Quantitative assessment using our newly proposed Spatial Asymmetry Index (SAI) demonstrated significant behavioral adaptations to cardiac motion, with dynamic scenarios yielding superior SAI values compared to static conditions. These results validate the platform’s potential as an anatomically accurate, interactive, and computationally efficient solution for enhancing surgical skill acquisition in complex cardiac procedures. Full article

Background and Objectives: Minimally invasive valve surgery (MIVS), integrated within enhanced recovery after surgery (ERAS) programs, is a pivotal advancement in modern cardiac surgery, aiming to reduce perioperative morbidity and accelerate recovery. This systematic review analyzes the integration of ERAS components into MIVS programs and evaluates their impact on perioperative outcomes and patient recovery. Materials and Methods: A systematic search of PubMed/Medline, conducted according to PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, identified studies on ERAS in MIVS patients. Coronary and robotic surgery were excluded to prioritize widely adopted minimally invasive valve methods. Studies were included if they applied ERAS protocols primarily to MIVS patients, with at least five participants per study. Data on study characteristics, ERAS components, and patient outcomes were extracted for analysis. Results: Eight studies met the inclusion criteria, encompassing 1287 MIVS patients (842 ERAS, 445 non-ERAS). ERAS protocols in MIVS were heterogeneous, with studies implementing 9 to 18 of 24 ERAS measures recommended by the ERAS consensus guideline, reflecting local hospital practices and resource availability. Common elements include patient education and multidisciplinary teams, early extubation followed by mobilization, multimodal opioid-sparing pain management, and timely removal of invasive lines. Despite protocol variability, these programs were associated with reduced morbidity, shorter hospital stays (intensive care unit-stay reductions of 4–20 h to complete omission, and total length of stay by ≥1 day), and cost savings of up to EUR 1909.8 per patient without compromising safety. Conclusions: ERAS protocols and MIVS synergistically enhance recovery and reduce the length of hospital stay. Standardizing ERAS protocols for MVS could amplify these benefits and broaden adoption. Full article

Surgical Aortic Valve Replacement (SAVR) is still one of the pillars of cardiac surgery practice, and its role is evolving into a more complex operation. The competition with structural valve therapies and the urgent demand for less invasive solutions have unleashed surgeons’ creativity in adapting to these new challenges. All the possible ways to surgically replace the aortic valve are analyzed in this review. Surgical techniques, advantages and disadvantages, and key differences are listed, helping surgeons navigate the available options. Sternotomy SAVR is the benchmark, but that is becoming obsolete and, in some cases, no longer performed for teaching purposes. Mini sternotomy is the easiest way to achieve minimal invasiveness in all anatomic situations, while right anterior thoracotomy is an elegant solution mastered by fewer surgeons. Endoscopic and robotic-assisted techniques are shaping the future of SAVR, yet they still lack wide adoption. The choice of approach is mainly dictated by the anatomic features of the patient and the surgeon’s skills. A flow diagram to overcome the learning curve and advance toward more complex surgery is provided here. Mastering as many techniques as possible is paramount when offering a patient-tailored approach and performing a safe and less invasive operation. Full article

Background: Artificial intelligence (AI) has emerged as a transformative technology in healthcare, with its integration into cardiac surgery offering significant advancements in precision, efficiency, and patient outcomes. However, a comprehensive understanding of AI’s applications, benefits, challenges, and future directions in cardiac surgery is needed to inform its safe and effective implementation. Methods: A systematic review was conducted following PRISMA guidelines. Literature searches were performed in PubMed, Scopus, Cochrane Library, Google Scholar, and Web of Science, covering publications from January 2000 to November 2024. Studies focusing on AI applications in cardiac surgery, including risk stratification, surgical planning, intraoperative guidance, and postoperative management, were included. Data extraction and quality assessment were conducted using standardized tools, and findings were synthesized narratively. Results: A total of 121 studies were included in this review. AI demonstrated superior predictive capabilities in risk stratification, with machine learning models outperforming traditional scoring systems in mortality and complication prediction. Robotic-assisted systems enhanced surgical precision and minimized trauma, while computer vision and augmented cognition improved intraoperative guidance. Postoperative AI applications showed potential in predicting complications, supporting patient monitoring, and reducing healthcare costs. However, challenges such as data quality, validation, ethical considerations, and integration into clinical workflows remain significant barriers to widespread adoption. Conclusions: AI has the potential to revolutionize cardiac surgery by enhancing decision making, surgical accuracy, and patient outcomes. Addressing limitations related to data quality, bias, validation, and regulatory frameworks is essential for its safe and effective implementation. Future research should focus on interdisciplinary collaboration, robust testing, and the development of ethical and transparent AI systems to ensure equitable and sustainable advancements in cardiac surgery. Full article

Objectives: The impact of long-term complications after robotic hybrid coronary revascularization (HCR), including persistent angina, repeat revascularization, and myocardial infarction (MI), remains limited. This study aims to determine the risk factors for coronary events after robotic HCR and their time-varying effects on outcomes. Methods: We identified all consecutive patients who underwent robotic HCR at our institution. Baseline characteristics were explored as possible risk factors for angina, MI, and repeat revascularization with stents at any time during the follow-up. Results: A total of 875 patients (mean age 71.1 ± 11.1 years) were included. After a median follow-up of 3.32 years (IQR 1.18–6.34 years), angina occurred in 134 patients (15.3%), repeat revascularization with stents in 139 patients (15.8%), and MI in 36 patients (4.1%). The hazard rates for all outcomes increased with follow-up time, with a notable early rise around two years of follow-up for angina and, to a lesser extent, repeat revascularization. The risk factors were the lack of radial artery graft use, black race, diabetes, obesity, chronic obstructive pulmonary disease, low ejection fraction <50%, severe left main coronary artery stenosis (>50%), and more than three-vessel disease. Conclusions: Optimization of modifiable periprocedural risk factors may positively impact long-term prognosis in patients undergoing robotic HCR. Full article

Background: Cardiac myxomas are benign tumors of the heart. They occur mostly in the left atrium. The preferred treatment is surgical resection, which can be performed via conventional median sternotomy, minimally invasive, or robotic-assisted approaches. This study aimed to evaluate the outcomes, advantages, and limitations of these surgical methods, with a focus on their safety, efficacy, and impact on patient recovery. Methods: This systemic review was conducted according to PRISMA guidelines. The chosen databases were systematically searched using the keywords “cardiac myxoma”, “resection”, “approach”, “minimally invasive”, and “robotic surgery”. The comparison between the surgical strategies was based on thirteen articles, which met the inclusion criteria. Results: Median sternotomy remains the standard technique, providing excellent surgical access but is associated with longer hospital stays, higher blood loss, and increased risk of complications such as stroke. Minimally invasive approaches demonstrated comparable safety with shorter ICU stays, reduced blood loss, and lower postoperative pain but presented challenges, including limited exposure and longer procedure times. Robotic-assisted surgery showed potential as a safe alternative but was limited by high costs and technical demands. However, the data on minimally invasive and robotic methods are limited due to the rarity of cardiac myxomas. Conclusions: The choice of surgical technique should be individualised by considering the tumour size, location, patient condition, and surgeon expertise. Routine postoperative echocardiographic monitoring is essential to detect residual or recurrent tumours. Further studies are needed to validate the long-term efficacy of minimally invasive and robotic approaches. Full article

Background/Objectives: Minimally invasive techniques for mitral valve repair have evolved over the past thirty years and include mini-thoracotomies and the robotic platform. This study provides a historical perspective on minimally invasive mitral valve approaches and evaluates long-term outcomes of a large series of robotic mitral valve repairs. Methods: A single-institution, prospectively maintained registry was used to evaluate robotic mitral valve repairs performed by four surgeons from 2005 to 2023. There were 1412 robotic mitral valve repairs performed during this time and stratified by the first 120 and subsequent patients. We evaluated operative outcomes and freedom from more than 2+ mitral regurgitation at five years as well as ten-year survival. Results: Of the 1412 robotic mitral valve repairs performed, 93.6% (n = 1322) were for degenerative disease. Compared to the first 120 patients, the subsequent patients had a significant reduction in cross-clamp time (112 (IQR = 103–130) versus 75 (IQR = 65–88) min) and cardiopulmonary bypass time (153.5 (IQR = 134.5–177.5) versus 116 (IQR = 103–136) min), and all with p < 0.01. The majority of patients had posterior leaflet prolapse (65.6%, n = 926). The repair rate was 98.1%, n = 1385. Survival at ten-year follow-up for the patients included in the first 120 procedures was 91.5% (95% confidence interval (CI) = 86.4–96.6%) versus 92.8% (95% CI = 91.7–93.9%) for the patients who were in the latter group, p = 0.58. Freedom from >2+ mitral regurgitation at 5 years was 97.0% (95% CI = 95.3–98.7%) for the patients in the first 120 procedures and 92.7% (95% CI = 91.5–93.9%), p = 0.22, for those in the latter group. Conclusions: The robotic platform offers an excellent durable repair for mitral regurgitation in our experience of over 1400 patients. The robotic platform for mitral valve repair offers a teachable and safe approach to mitral valve disease for patients. Full article

Background/Objectives: Elevated RDW has emerged in cardiac surgery as a potential means of preoperative risk stratification with the capacity to predict short- and long-term postoperative mortality, acute kidney injury, and postoperative atrial fibrillation. The question as to whether perioperative hemodynamic instability may be predicted by such a marker remains a topic of ongoing debate. The aim of this study was to explore the relationship between preoperative RDW and prolonged postoperative catecholamine use in minimally invasive mitral valve surgery. Methods: We performed a retrospective monocentric cohort study in an academic hospital; we enrolled patients who had undergone minimally invasive mitral valve surgery (including both robot-assisted and non-robot-assisted procedures) between January 2019 and December 2022. We considered the use of inotropes and/or vasopressors for at least twelve hours after post-surgery ICU admission to qualify as the prolonged postoperative use of catecholamines (PPUC). The RDW was obtained from the routine full blood count analysis performed upon admission or a maximum of 72 h before surgery. We also performed a multivariable logistic regression analysis with PPUC as the dependent variable. Results: We finally enrolled 343 patients. Upon multivariate analysis, RDW >14.4% was independently associated with prolonged postoperative catecholamine use when compared to the reference group (OR 2.62 [1.06–4.84]; p = 0.03). Moreover, the EuroSCORE II score (OR 1.38 [1.03–1.85]; p = 0.03), the cross-clamp time (OR 1.01 [1.01–1.02]; p < 0.01), and robot-assisted mitral valve surgery (OR 0.53 [0.30–0.93]; p < 0.03) were independently associated with the prolonged postoperative use of catecholamines. Conclusions: This study identified that an elevated preoperative RDW (>14.4%), the EuroSCORE II score, and the cross-clamp time independently predict prolonged postoperative catecholamine use in minimally invasive mitral valve surgery patients. Conversely, the robot-assisted approach was associated with a smaller hemodynamic impairment. Full article

To date, robotic surgery has gained much popularity, impacting deeply on surgical fields such as genitourinary system branches, general surgery, and cardiac surgery. We aim to outline the landscape of robotic surgery, focusing on design improvements, which have improved both the technical skills of surgeons and the outcomes of minimally invasive technique for patients. A thorough narrative literature review was conducted on PubMed/MEDLINE, employing keywords such as “robotic surgical system”, “robotic surgical device”, and “robotics AND urology”. Furthermore, the reference lists of the retrieved articles were scrutinized. The analysis focused on urological surgical systems from the 2000s to the present day. Beginning with the daVinci^® Era in the 2000s, new robotic competitors, including Senhance^®, Revo-I^®, Versius^®, Avatera^®, Hi-notori^®, and HugoTM RAS, have entered the medical market. While daVinci^® has maintained a high competitiveness, even more new platforms are now emerging in the medical market with new intriguing features. The growing competition, driven by unique features and novel designs in emerging robotic technologies, has the potential to improve application fields, enhance diffusion, and ameliorate the cost effectiveness of procedures. Since the impact of these new surgical technologies on different specialties and healthcare systems remains unclear, more experience and research are required to define their evolving role. Full article

Technological development in the field of robotics has meant that, in recent years, more and more thoracic surgery departments have adopted this type of approach at the expense of VATS, and today robotic surgery boasts numerous applications in malignant and benign thoracic pathology. Because autonomic nervous system surgery is a high-precision surgery, it is conceivable that the application of RATS could lead to improved outcomes and reduced side effects, but its feasibility has not yet been thoroughly studied. This review identified three main areas of application: (1) standard thoracic sympathectomy, (2) selective procedures, and (3) nerve reconstruction. Regarding standard sympathectomy and its usual areas of application, such as the management of hyperhidrosis and some cardiac and vascular conditions, the use of RATS is almost anecdotal. Instead, its impact can be decisive if we consider selective techniques such as ramicotomy, optimizing selective surgery of the communicating gray branches, which appears to reduce the incidence of compensatory sweating only when performed with the utmost care. Regarding sympathetic nerve reconstruction, there are several studies, although not conclusive, that point to it as a possible solution to reverse surgical nerve interruption. In conclusion, the characteristics of RATS might make it preferable to other techniques and, particularly, VATS, but to date, the data in the literature are too weak to draw any evidence. Full article

In recent years, there has been a growing interest in robotic-assisted coronary artery revascularization in Europe. Two different types of surgery can be performed using a robotic platform: RA-MIDCAB, in which the mammary artery is harvested endoscopically with robotic assistance and off-pump bypass graft is achieved under direct vision through mini thoracotomy, and TE-CAB, completely robotically performed. We started the robotic cardiac surgery program for mitral valve disease in our hospital, Humanitas Gavazzeni (Bergamo, Italy), in 2019; and in 2021, we addressed our experience with RA-MIDCAB. After a learning curve period, we have developed our technique to optimize the benefits offered by the robotic platform, tailoring strategy to individual patients, based on preoperative radiological images. Full article

The surgical robots currently used in cardiac surgery are equipped with a remote center of motion (RCM) mechanism that enables the required spherical workspace. The dynamics model of the surgical robot’s RCM mechanism presented in this work includes a direct current (DC) motor, an optimal proportional–integral–derivative (PID) controller, and a LuGre friction model that takes into account the Stribeck effect and surface deformation. A finite element method (FEM) analysis of transients was carried out using the energy hypothesis of von Mises with an optimal input signal from the mechatronic system with a PID controller obtained using the Runge–Kutta differentiation method in the Dormand–Prince ordinary differential equations variant (ODE45). Five criteria were adopted for the objective function: the safety factor related to the stress function in the time-varying strength problem, the first natural frequency related to stiffness and the resonance phenomenon, the buckling coefficient in the statics problem related to stability, the static factor of safety, and the displacement of the operating tip. The force inputs to the dynamics model were derived from in vitro force measurements on cardiovascular tissue using a force sensor. The normality of the statistical distribution of the experimental data was confirmed using the Kolmogorov–Smirnov statistical test. The problem of multi-criteria optimization was solved using the non-sorter genetic algorithm (NSGA-II), the finite element method, and the von Mises distortion energy hypothesis. Velocity input signals for the transient dynamics model were obtained from a second in vitro experiment on cardiovascular tissue using the minimally robotic invasive surgery (MIRS) technique. An experienced cardiac surgeon conducted the experiment in a modern method using the Robin Heart Vision surgical robot, and a system of four complementary metal–oxide–semiconductor (CMOS) optical sensors and ariel performance analysis system (APAS-XP 2002) software were used to obtain the endoscopic tool trajectory signal. The trajectory signal was accurate to ±2 [mm] in relation to the adopted standard, and it was smoothed using the Savitzky–Golay (SG) polynomial smoothing, whose parameters were optimally selected using the Durbin–Watson (DW) statistical test. Full article

Background: Postoperative myocardial injury, as detected by an elevated concentration of high-sensitivity cardiac troponin I (hs-cTnI), is a common complication in cardiac surgery that may be linked to mortality. The primary aim of this study was to assess the risk factors associated with increased myocardial injury in patients undergoing minimally invasive mitral valve surgery. Methods: In this retrospective monocentric cohort study, we analyzed all patients who underwent elective minimally invasive mitral valve surgery between January 2019 and December 2022 and were subsequently admitted to our intensive care unit. The study population was divided into two groups based on the peak hs-cTnI level: the “lower myocardial injury” group comprised patients whose peak serum hs-cTnI level was less than 499 times the 99th percentile, while the “higher myocardial injury” group included those patients who exhibited hs-cTnI levels equal to or greater than 500 times the 99th percentile. A multivariable logistic regression analysis was performed to identify independent risk factors associated with higher myocardial injury. Results: In our final analysis, we enrolled 316 patients. Patients with higher myocardial injury (48; 15%) more frequently had a preoperative New York Heart Association (NYHA) class ≥3 compared to those with lower myocardial injury [33 (69%) vs. 128 (48%); p < 0.01—OR 2.41 (95% CI 1.24–4.64); p < 0.01]. Furthermore, cardiopulmonary bypass and aortic cross-clamp time were significantly longer in the higher myocardial injury group compared to the lower myocardial injury group [117 (91–145) vs. 86 (74–100) min; p < 0.01—OR 1.05 (95% CI 1.03–1.06); p < 0.01]. Moreover, patients who underwent robotic-assisted mitral valve surgery experienced lower myocardial injury rates [9 (19%) vs. 102 (38%); p = 0.01—OR 0.38 (95% CI 0.18–0.81); p = 0.01] than others. These findings remained consistent after adjustment in multivariate logistic regression. In terms of postoperative outcomes, patients with higher myocardial injury exhibited the highest lactate peak in the first 24 h, a higher incidence of postoperative acute kidney injury and a longer duration of mechanical ventilation. Although no patients died in either group, those with higher myocardial injury experienced a longer hospital length of stay. Conclusions: Higher myocardial injury is relatively common after minimally invasive mitral valve surgery. Prolonged aortic cross-clamp duration and higher NYHA class were independently associated with myocardial injury, while robotic-assisted mitral valve surgery was independently associated with lower postoperative myocardial injury. Full article

Digital surgery technologies, such as interventional robotics and sensor systems, not only improve patient care but also aid in the development and optimization of traditional invasive treatments and methods. Atrial Fibrillation (AF) is the most common cardiac arrhythmia with critical clinical relevance today. Delayed intervention can lead to heart failure, stroke, or sudden cardiac death. Although many advances have been made in the field of radiofrequency (RF) catheter ablation (CA), it can be further developed by incorporating sensor technology to improve its efficacy and safety. Automation can be utilized to shorten the duration of RF ablation, provided that the interactions between the tissue and the RF tools are well understood and adequately modeled. Further research is needed to develop the optimal catheter design. This paper describes the systematic methodology developed to support robot-assisted RF CA characterization measurements. The article describes the custom instruments developed for the experiments, particularly the contact force limiter, the measurement procedure, and the evaluation of the results, as enablers for new results. The aim was to establish an objective, repeatable, robust measurement method and adjacent procedure. Full article

Background: Robotically assisted cardiac surgery is performed in a team setting and is well known to be associated with learning curves. Surgeon and operative team learning curves are distinct entities, with total operative time representing the entire operative team (surgery, anesthesia, nursing, and perfusion) and cross-clamp time representing mainly the surgical team. Little is known about how a team learning curve evolves when an experienced surgeon transitions from one surgical center to another. This study investigates the dynamics of the team learning curve expressed as total operative time in the case of a surgeon with previous experience transitioning to a new team. Methods: A retrospective analysis was conducted on robotic cardiac surgeries performed by a surgeon who transitioned from one experienced surgical center to another. Operative time data were collected and categorized to assess the evolution of the learning curve. Statistical analysis, including learning curve modeling and linear regression analysis, was used to evaluate changes in total time in the operating room per case. Results: 103 cases were included in Weill Cornell Medicine (2019–2023). The median patient age was 63 years, 68% were males, 90.3% of cases were repaired for degenerative mitral valve disease, and the median body mass index was 23.87. Operative time (ORT) decreased from a median of 5.00 h [95%CI: 4.76, 6.00] in the first 30 cases to 4.83 [95%CI: 4.10, 5.27] thereafter, with the apparent curve plateauing indicative of the adaptation period to the new surgical environment (p = 0.01). Subgroup analysis among mitral cases (n = 93) showed a decrease in ORT from 5.00 [95%CI: 4.71, 5.98] in the first 26 cases to 4.83 [95%CI: 4.14, 5.30] (p = 0.045). There was no difference between the initial 30 cases and subsequent cases regarding cardiopulmonary bypass time, myocardial ischemia time, reoperation for bleeding, prolonged ventilation, reintubation, renal failure, need for an intra-aortic balloon pump, readmission to the ICU, reoperation for valvular dysfunction within 30 days, pneumonia, and deep venous thrombosis. Multivariate significant predictors of longer operative time were the first 30 cases, resection-based repairs, and MAZE as a concomitant procedure. Conclusions: Total operative time can be expected to decrease after about 30 cases when an experienced robotic surgeon moves between centers. Complications and cross-clamp times are less susceptible to a learning curve phenomenon in such a circumstance, as these depend primarily on the operating surgeon’s level of experience. Understanding these dynamics can inform the planning and management of surgical transitions, ensuring optimal patient care and continued improvement in surgical outcomes. Full article