Expanding Horizons: Optical Coherence Tomography in Cross-Specialty Diagnostic Practice

A Special Issue of Diagnostics (ISSN 2075-4418) belonging to the section "Biomedical Optics".

Deadline for manuscript submissions: 28 February 2027 | Viewed by 2769

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Physical Sciences Inc., Andover, MA, USA
Interests: cancer diagnosis; cancer therapy; multimodal optical imaging; optical spectroscopy; biosensors
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Special Issue Information

Dear Colleagues,

The Special Issue aims to collect works representing the state-of-the-art in OCT development and its application beyond ophthalmology, where it has traditionally been dominant.

Key aspects covered in the Special Issue include the following:

  1. AI-assisted OCT applications for improving clinical diagnosis;
  2. Functional OCT methods, such as angiography, Doppler OCT, and optical coherence elastography-focused on clinical diagnosis;
  3. New advances in the OCT technology, such as adaptive optics OCT (AO-OCT) for ophthalmology use;
  4. Multimodal imaging incorporating OCT with other techniques.

This issue seeks papers that will focus on clinical and preclinical applications in various fields like ophthalmology, dermatology, cardiology, neurology, dentistry, etc.

Dr. Nicusor Iftimia
Guest Editor

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Keywords

  • optical coherence tomography
  • cross-specialty diagnosis
  • AI-assisted OCT
  • OCT angiography
  • multimodal imaging

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Published Papers (3 papers)

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Research

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11 pages, 4446 KB  
Article
A New Era in Early Postoperative OCT: Swept-Source Versus Spectral-Domain in Gas-Filled Eyes
by Federico Giannuzzi, Mattia Cusato, Umberto De Vico, Diletta Paganelli, Lorenzo Hu, Giuseppe Liuzzi, Kevin Forgione, Paolo Lando, Arianna Pignatelli, Miriana Capodiferro, Valentina Cestrone, Ludovica Paris, Maria Cristina Savastano and Stanislao Rizzo
Diagnostics 2026, 16(15), 2440; https://doi.org/10.3390/diagnostics16152440 - 2 Aug 2026
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Abstract
Objectives: This study aims to compare the imaging performance of spectral-domain optical coherence tomography (SD-OCT) and swept-source OCT (SS-OCT) in the early postoperative assessment of patients undergoing vitreoretinal surgery with intraocular gas or air tamponade. Methods: Seventeen eyes of 17 patients [...] Read more.
Objectives: This study aims to compare the imaging performance of spectral-domain optical coherence tomography (SD-OCT) and swept-source OCT (SS-OCT) in the early postoperative assessment of patients undergoing vitreoretinal surgery with intraocular gas or air tamponade. Methods: Seventeen eyes of 17 patients who underwent pars plana vitrectomy with either sulfur hexafluoride (SF6, 20%) or air tamponade were prospectively enrolled. All patients underwent OCT imaging on postoperative day 1 using both the SD-OCT system and the SS-OCT platform, without pharmacological mydriasis. Images were independently evaluated by two experienced ophthalmologists based on the ability to delineate four prespecified anatomical layers: inner retinal layers, ellipsoid zone (EZ), retinal pigment epithelium (RPE) and choroid. Images were classified as adequate quality if two or more of these structures were identifiable. Results: SS-OCT provided adequate-quality images in all 17 eyes (100%), with complete visualization of the inner retinal layers, EZ, RPE, and choroid in 15 eyes (88.2%). In contrast, SD-OCT yielded adequate-quality images in only three of 17 eyes (17.6%), demonstrating marked signal attenuation, interface artifacts, and inability to resolve deeper retinal structures in most cases. No difference in imaging performance was observed between SF6 and air tamponade subgroups. Conclusions: SS-OCT demonstrates markedly superior imaging performance in gas-filled eyes on postoperative day 1 compared to SD-OCT, primarily attributable to its longer wavelength, reduced sensitivity roll-off, and superior penetration through optically challenging media. These findings suggest that SS-OCT may offer meaningful advantages for early postoperative monitoring following vitreoretinal surgery with tamponade; confirmation in larger prospective cohorts with clinical-outcome correlation is warranted before it can be recommended as the preferred modality. Full article
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11 pages, 5084 KB  
Article
AI-Assisted OCT Imaging for Core Needle Biopsy Guidance: The 1st in Humans Study
by Nicusor Iftimia, Poonam Yadav, Michael Primrose, Gopi Maguluri, Jack Jones, John Grimble and Rahul Anil Sheth
Diagnostics 2026, 16(5), 811; https://doi.org/10.3390/diagnostics16050811 - 9 Mar 2026
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Abstract
Background: The heterogeneous nature of cancer with varying degrees of fat, necrosis, fibrosis, and varying degrees of tissue repair severely impacts the success of acquiring adequate tissue samples during percutaneous image-guided biopsy. Although ultrasound or CT fluoroscopy are used to identify tumor [...] Read more.
Background: The heterogeneous nature of cancer with varying degrees of fat, necrosis, fibrosis, and varying degrees of tissue repair severely impacts the success of acquiring adequate tissue samples during percutaneous image-guided biopsy. Although ultrasound or CT fluoroscopy are used to identify tumor location and thus to guide biopsy needle insertion, these technologies do not provide the necessary resolution to determine tissue composition and enable the selection of the most appropriate location for biopsy specimen extraction. As a result, biopsy must be repeated, leading to significant cost to the health care system. Methods: In this study, we introduce a combined optical imaging/artificial intelligence (OI/AI) methodology for the real-time assessment of tissue morphology at the tip of the biopsy needle, prior to the collection of a biopsy specimen. Addressing a significant clinical challenge, this approach aims to reduce the proportion of biopsy cores—currently as high as 40%—that yield low diagnostic value due to elevated adipose or low tumor content. Our methodology employs micron-scale optical coherence tomography (OCT) imaging to obtain detailed structural tissue information using a minimally invasive needle probe. The OCT images are automatically analyzed using a convolutional neural network (CNN)-driven AI software developed by our team. A U-net style architecture was used to segment regions of tumor from the OCT scans. U-Net is a specialized convolutional neural network (CNN) architecture designed for fast, precise image segmentation, which involves classifying each pixel in an image to outline objects. This streamlined approach shows promise to provide clinicians with real-time results, supporting more accurate and informed decisions regarding biopsy site selection. To evaluate this technology, we conducted a clinical study using a custom-made OCT imager and recorded OCT images from patients diagnosed with liver cancers. Expert OCT interpreters supplied annotated reference images that were used to train a custom AI algorithm. Results: OCT imaging with ~10 mm axial and 20 mm lateral resolution enabled the collection of high-quality images of the tissue. The AI analysis was performed offline. UNet achieved an AUC of ~0.877 on the validation dataset, indicating promising performance for the relatively small data set used to train the model. The AI model matched human interpretations approximately 90% of the time, highlighting its promise for making biopsy procedures both more accurate and more efficient. Conclusions: A novel OCT instrument and AI software were evaluated for assessing tissue composition at the tip of biopsy needle. The OCT instrument produced micron-scale resolution images of the tissue, enabling AI analysis and accurate real-time discrimination of tissue type. This preliminary study demonstrated the clinical potential of this technology for improving biopsy success. Full article
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16 pages, 2077 KB  
Systematic Review
Optical Coherence Tomography-Guided Versus Angiography-Guided PCI in Moderate-to-Severe Calcified Coronary Lesions: A Systematic Review and Meta-Analysis of Randomized Trials
by Hesham E. Mawar, Maryam Baamer, Azzam A. Althagafi, Ahmad G. Alghamdi, Moudi Aleidi, Reem S. Alzahrani, Abdulrahman Alnamlah, Maya F. Bokhari, Amjaad Batawi, Mohammed F. Gholam and Saad Al Bugami
Diagnostics 2026, 16(9), 1317; https://doi.org/10.3390/diagnostics16091317 - 28 Apr 2026
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Abstract
Background: Moderate-to-severe coronary calcification is associated with worse outcomes following percutaneous coronary intervention (PCI). We aimed to assess the safety and efficacy of optical coherence tomography (OCT) compared with conventional angiography in PCI guidance of moderate-to-severe calcified coronary artery lesions. Methods: [...] Read more.
Background: Moderate-to-severe coronary calcification is associated with worse outcomes following percutaneous coronary intervention (PCI). We aimed to assess the safety and efficacy of optical coherence tomography (OCT) compared with conventional angiography in PCI guidance of moderate-to-severe calcified coronary artery lesions. Methods: Multiple databases were systematically searched for outcomes of OCT- versus angiography-guided PCI in calcified lesions. Study selection and data extraction were conducted in accordance with the PRISMA guidelines. The primary endpoint was target vessel failure (TVF), a composite of cardiac death, target vessel myocardial infarction (TV-MI), and ischemia-driven target vessel revascularization (ID-TVR). Secondary endpoints included clinical (i.e., TVF components, stent thrombosis, and 30-day major adverse cardiovascular events [MACEs]), imaging, and procedural outcomes. Results: Four randomized controlled trials involving 3186 participants were included. Compared with angiography, OCT was associated with a significant reduction in TVF (risk ratio [RR] = 0.66; 95% confidence interval [CI]: 0.52–0.82), cardiac death (RR = 0.39; 95% CI: 0.22–0.70), TV-MI (RR = 0.63; 95% CI: 0.42–0.94), and stent thrombosis (RR = 0.24; 95% CI: 0.08–0.72). However, there were no significant changes in ID-TVR (RR = 0.77; 95% CI: 0.55–1.08) or 30-day MACEs (RR = 0.50; 95% CI: 0.16–1.61). Most procedural outcomes varied across studies and showed significant heterogeneity. Conclusions: OCT-guided PCI was associated with better clinical outcomes compared with angiography-guided PCI in this patient population. However, larger randomized trials are needed to confirm these results. Full article
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