Statement of DiscoveryWe describe the first-known feasibility study of endoscopic optical coherence tomography to detect unintentional ureteral damage caused by electrosurgical devices during gynecologic procedures. 1.IntroductionIatrogenic ureteral injury is a rare () yet serious complication of pelvic and abdominal surgery.1–3 The ureters are particularly susceptible to lateral spread of electrothermal injury due to their proximity and resemblance to anatomic structures undergoing intentional electrocoagulation, especially during laparoscopic hysterectomies.1 Injury is frequently unrecognized until the sequelae of ischemia, scar and stricture formation, fistulas, and/or adhesions present days, weeks, or months postoperatively.4–6 There is an unmet clinical need for a standardized approach that enables timely and direct assessment of ureteral integrity in the operating room. The current intraoperative surveillance methods, including direct visualization of gross injury or indirect visualization of urine extravasation with cystoscopy, have detection rates of as low as 35% and 53%, respectively,1 and are more specific for other types of injuries such as kinking and laceration.6–9 Earlier detection is necessary to reduce morbidity, increase ease of repair, and improve patient outcomes.10,11 A method to diagnose, localize, and define the severity of thermal injury could also facilitate targeted management and repair.12 Microscopy can reveal early signs of coagulative injury not visible to the naked eye but requires tissue resection.13–15 Electrocoagulation confers changes in tissue optical properties, which can be detected using non-destructive high-resolution imaging techniques such as optical coherence tomography (OCT).16–18 OCT is analogous to ultrasound but uses near-infrared light to provide histology-like images up to 3 mm in depth. OCT can be implemented as a sub-millimeter endoscope to provide cross-sectional depth visualization of microstructural features in luminal organs, such as the ureters.19–22 The objective of this study was to assess the feasibility of OCT endoscopy as an approach to detect electrothermal injury in an ex-vivo porcine ureter model. 2.Methodology2.1.Ureter Preparation and Application of Electrothermal EnergyThis study was conducted according to an ex-vivo imaging protocol approved by the Institutional Animal Care and Use Committee at the University of Arizona. Twelve ureters were explanted from six female domestic Yorkshire swine within 2 h of euthanasia. Tissues were stored and flushed in 0.9% saline to prevent drying. Two ureters were set aside as untreated controls. Of the 10 remaining ureters, one was used to test optimal energy parameters, and nine were treated by the following protocol. A conventional bipolar high-frequency electrosurgical generator (Model 26021, Karl Storz, Tuttlingen, Germany) and a bipolar cautery tip (part no. 67-1065, Gemini Cautery System, Gaithersburg, Maryland, United States) were used for the external application of electrothermal energy. A weighted lever was used to elicit a controlled contact pressure of 105 g over of the external ureteral surface. Three treatment endpoints were selected based on externally visible signs of injury with 5 s of energy application (Fig. 1). Low-power lesions had mild to absent visible signs of injury. Medium-power lesions showed subtle coagulative injury (whitening and dehydration). High-power lesions had obvious signs of injury, including charring, contraction, desiccation, or evaporation. Three segments of each ureter were treated at low (16 W), medium (26 W), and high (36 W) powers with between regions ( segments). The order of power treatments was randomized among ureters. 2.2.OCT Image Acquisition, Processing, and AnalysisImmediately following treatment, ureters were mounted onto a dedicated 7F low-profile optical probe connected to a swept-source OCT volumetric laser endomicroscopy imaging system (95501-LP, Ninepoint NVisionVLE), described previously.23 In short, this technology uses a near-infrared swept source laser with a wavelength range from 1260 to 1360 nm and a 50-kHz repetition rate for the continuous acquisition of two-dimensional (2D) cross-sectional OCT images. The axial and lateral resolutions of the system were 7 and , respectively. An automatic spiral-scanning pullback mechanism was used to acquire a series of up to 1200 stacked 2D images (6 cm) in . Ureters were imaged in their entirety to include both normal and treated areas. Image processing and analysis were conducted using ImageJ (National Institutes of Health, Bethesda, Maryland, United States) by an experienced observer. In the grayscale images, darker areas corresponded to higher signal reflectivity. The same observer qualitatively compared OCT images and the corresponding histology to characterize features of normal and injured ureters. Following confirmation of injury on histology, definitive criteria for injury were developed and used to label OCT images as normal or injured. The lesion size (mm) was determined by multiplying the number of consecutive slices with the injury by an image slice thickness of . Given the observer’s prior exposure to histology and adjacent images in OCT volumes, image labeling was considered unblinded. The extent of ureteral wall involvement and the severity of damage were assessed and compared among power groups. 2.3.Histology Processing and AnalysisThe proximal, middle, and distal segments of two untreated control ureters ( segments) and segments of injured areas with adjacent untreated tissue ( segments) were processed for histology using routine protocols. Longitudinal sections of thickness were acquired at intervals. Hematoxylin and eosin (H&E) and Masson’s trichrome-stained slides were analyzed using a brightfield microscope (BX41, Olympus, Japan). Slides with the maximal lesion size were formally reviewed and measured by a board-certified pathologist. 2.4.Physician Detection StudyThree board-certified physicians specializing in Interventional Radiology, Pathology, and Urology, with no prior OCT experience, were trained to differentiate normal and injured ureters using 14 example OCT images. Physician detection accuracy was evaluated using a dataset of 126 OCT images with equal representation of normal ( images) and injured ( images) areas. The injured image dataset encompassed all lesions with confirmed injury on ground-truth histology. Based on the labeled lesion start and end slice number, three images of each lesion were acquired at 12.5%, 50%, and 75% longitudinal intervals. Images with significant distortion or unique artifacts, which were not discussed in training were excluded from the test dataset. For each ureter imaged, four to six OCT images of normal (untreated) areas were selected to match the number of injured images. We assured a minimum of 0.5-cm (100 images) distance between images and from injured areas. 2.5.Statistical AnalysisThe average lesion size (mm) for samples that met the criteria for injury on both OCT and histology was compared among power groups, presented as for low ( segments), medium ( segments), and high ( segments) power groups. Pearson’s correlation coefficient was used to assess the linear relationship among measurements of lesion size on OCT ( segments) and histology ( segments), including false positives and false negative measurements. A one-way analysis of variance (ANOVA) with post-hoc Tukey’s honest significant difference (HSD) test was used to compare lesion size as measured with OCT among power groups. Lesions identified on OCT that did not meet the criteria for injury on ground-truth histology were considered false positives, whereas lesions identified on histology that did not meet the criteria for injury on OCT were considered false negatives (see Sec. 3.2 for a description of the criteria). -Values less than 0.05 were considered statistically significant. Statistical analysis and figures were generated using Rstudio (Version 2023.03.1+446). 3.Results3.1.Comparison of Untreated Ureters on OCT and HistologyUntreated areas on OCT images demonstrated spatial changes in contrast and reflectivity that corresponded with the normal histological features of the urothelium, lamina propria, smooth muscle, and adventitia (Fig. 2). The multilayered transitional cell urothelium was identifiable on histology in all samples. Regions of isolated epithelial denudation in length were identified in of untreated controls and in normal areas distant from treated areas. On OCT images, the urothelium was only within the visible resolution in larger, relaxed ureters, where it appeared as an inner hyporeflective (light) band in regions with mucosal folds. The underlying lamina propria, characterized as a well-organized layer of dense, fibrillary collagens on histology, consistently appeared as a thin, uniform, hyperreflective (dark) band on OCT images. The smooth muscle layer, consisting of alternating circular and longitudinal muscular fibers on histology, correlated with the large heterogeneous layer with a striated texture on OCT images. The adventitia was identified as the outer hyporeflective layer with a diffuse hyperreflective speckled pattern. OCT image analysis was not possible in areas with two types of artifacts. First, areas with folds showed increased scattering and signal attenuation across all layers beyond the urothelium. Second, probe slippage or non-concentric misalignment during acquisition could cause severe apparent distortion in the imaged tissue. 3.2.Comparison of Injured Ureters on OCT and HistologyElectrothermal injury was identified in 23/27 (85%) treated segments on ground-truth histology. Four areas treated at low power (16 W) did not meet histological criteria for injury. On histology, injury was characterized by a focal transmural lesion with coagulative denaturation of collagen bundles and swelling and fragmentation of smooth muscle fibers (Fig. 3). On OCT images, electrothermally injured areas were identified by signal homogenization and attenuation, which corresponded to decreased signal contrast and reflectivity, respectively (Fig. 4). An image stack that demonstrates one high-power (36-W) lesion among normal areas of tissue is provided in Video 1 (see Appendix). In general, tissue swelling, or an increase in wall thickness compared with adjacent normal areas, was appreciated in injured areas. However, swelling was excluded from formal injury criteria due to the variability in ureter sizes across animals and among proximal, middle, and distal ureteral segments. Two consistent features were observed on OCT images and were used as criteria for injury. Criteria 1 was characterized by a reduction in signal reflectivity in the lamina propria layer, resulting in visible lightening of the inner dark band. Criteria 2 was defined as the loss of microstructural detail (i.e., decreased contrast and loss of heterogeneous striations) in the smooth muscle layer. These criteria were exclusively assessed in artifact-free regions and had to demonstrate continuity for at least 1/8 (45 deg) of the total circumference. Using these criteria, electrothermal injury was identified on OCT images in all but one histology-confirmed lesion (22/23, 95.7%). This medium-power (26-W) lesion measured 4.1 mm on histology and was suspicious for injury on OCT images, but it did not meet the OCT criteria due to its presence on a fold and was therefore considered a false negative. Among the four low-power lesions that did not meet the criteria for injury on histology, three were absent and one false positive was identified as a lesion of 0.9-mm length on OCT images. The average lesion size for lesions that met the criteria for injury on both OCT and histology is shown in Fig. 5. Comparison of OCT to histology measurements revealed a moderate positive correlation (Pearson correlation coefficient, , ). 3.3.Comparison of Power Levels on OCT ImagesMorphological features of lesions treated at all power levels on OCT images did not noticeably differ. The extent of damage observed circumferentially (Fig. 4) and measured longitudinally (Table 1) was the only characteristic that correlated with the power level. The lesion size as measured on OCT differed among power groups (, ANOVA). Only the difference between low- and high-power lesions as measured on OCT was statistically significant (, Tukey’s HSD). Table 1Comparison of lesion size among power groups as measured with OCT and histology, presented as mean ± standard deviation.
Note: n refers to the number of injured ureter segments assessed on both OCT and histology. Measurements for segments that did not meet the criteria for injury on both OCT and histology were excluded. The Pearson correlation coefficient between OCT and histology measurements was statistically significant (r=0.65, p=0.00087). 3.4.Physician Detection StudyThe results of the physician detection accuracy study are summarized in Table 2. The average time to complete the test was . An average of 112.3/126 (89%) normal and injured images were correctly interpreted by three physicians. The average sensitivity and specificity were 82% and 96%, respectively. Five images with injury consistently received false negative interpretations by all three physicians. An example is shown in Fig. 7. These images demonstrated decreased reflectivity in the lamina propria layer (criteria 1), whereas the microstructural detail in the smooth muscle layer remained unaffected or displayed a slight decrease in contrast (criteria 2). Table 2Results of the physician lesion detection accuracy study.
Note: Following training, three physicians (P1, P2, and P3) classified 126 images as normal or injured with similar time and accuracy. 4.DiscussionThere is an unmet clinical need for accurate and timely detection of iatrogenic ureteral injury secondary to the use of electrosurgical devices. Herein, we demonstrate an accurate (96%) and measurable detection of electrothermal ureteral injury by an experienced interpreter using a catheter-mounted OCT endoscopy system in the ex-vivo setting. Notably, OCT images revealed detectable injury in areas that showed mild to no externally visible signs of injury. While longitudinal outcomes in the live setting were not directly investigated, the amount of energy applied (16 W) is sufficient to induce significant ureteral obstruction and stricture formation.15 Our findings underscore the ability of OCT to provide a more thorough and timely evaluation of the spatial and morphological extent of electrothermal ureteral injury. The sub-millimeter diameter scale of OCT endoscopes enables their use as a minimally invasive adjunct to the standard cystoscopy workflow. In agreement with previous literature, our results demonstrate that OCT can feasibly show the layered organization of normal porcine19,20,22 and human21 ureters. The hyperreflective characteristic features of normal ureters are related to refractive index mismatches and the backreflection of light from organized tissue structures, such as fibrillary collagens and smooth muscle fibers. Electrocoagulation causes protein denaturation and alters the optical properties of tissue, such as scattering, birefringence, and attenuation.24–26 While several studies have demonstrated the potential of OCT to detect alterations related to thermal injury,16,27 we are the first to provide a qualitative description of accurate, standardizable markers of injury in the ureters. In this study, an experienced observer identified injury as areas with decreased contrast and hyporeflectivity on OCT images. Despite one false positive lesion measured, which was attributed to scattering induced by dehydration, these qualitative features were used to provide accurate and agreeable measurements of lesion size in comparison to histology. In the clinical setting, this approach could be used to estimate the severity of injury, inform prognosis, and prompt timely management before the occurrence of serious postoperative complications such as stricture or renal failure.1,4 Despite having no prior OCT experience and only 1 h of training, three physicians in diverse fields differentiated normal from injured OCT images with a high mean detection accuracy (89%). Few false positives (96% mean specificity) were identified, particularly in the presence of attenuating and scattering artifacts that resembled injury. These artifacts occurred most frequently in areas with non-concentric probe alignment, such as tissue folds in larger ureters. In the clinical setting, a centering mechanism such as a balloon or irrigation system is likely needed to mitigate the variability in ureteral diameters.28 The low false negative rate (82% sensitivity) shows significant improvement compared with the 38% to 53% intraoperative detection rates for thermal injury1 and could minimize reliance on non-specific methods, such as gross inspection or cystoscopy. An important limitation was the comparison of physician interpretation of a single image to labels made by an experienced, unblinded OCT image interpreter with access to additional three-dimensional (3D) volumetric information. In the clinical scenario, physicians could compare suspicious areas to normal and repeat acquisition to better differentiate artifacts from injury. Despite the small sample size and the subjective nature of this ex-vivo study, our results warrant further investigation. In previous work, we developed a convolutional neural network capable of predicting lesion location based on quantifiable alterations in intensity on OCT images.29 In future work, we will investigate quantitative measures of injury24–26 to supplement the subjective interpretation of OCT image features. With further development and image feature quantification, automated algorithms could improve the standardization of clinical decision making and potentially reveal microstructural insights or predictors of outcomes not visible to the human eye.30,31 Future work is also needed to demonstrate safety and feasibility in the clinical setting, which is subject to blood and urine flow, obstacles in endoscopic access, and may pose concerns for perforation in areas weakened from injury. In this study, some untreated regions showed isolated epithelial denudation in length on histology. Whether this was an artifact of tissue processing and handling or due to damage from the OCT probe, these regions are likely to re-epithelialize in vivo.15 5.ConclusionEndoscopic OCT was evaluated as a method to detect electrothermal injury in ex-vivo porcine ureters. In this study, OCT images provided spatial and morphological information, which enabled accurate, reproducible detection by trained physicians. Our results collectively suggest that endoscopic OCT has the potential to improve and standardize the detection of iatrogenic ureteral injury. Further preclinical investigation is needed to understand its clinical utility and safety. Code and Data AvailabilityThe datasets supporting the conclusions of this article will be made available at the University of Arizona Research Data Repository (ReDATA) at the time of publication (doi: 10.25422/azu.data.25430716). 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BiographyDilara J. Long is an MD-PhD student in the Department of Biomedical Engineering at the University of Arizona. After graduating with degrees in physics and philosophy from Virginia Tech in 2018, she conducted research as a postbaccalaureate fellow at the NIH Center for Interventional Oncology. Her research focuses on the development and implementation of minimally invasive diagnostic and therapeutic technologies. Photini F. Rice holds an associate in applied science in medical technology and has an American Society for Clinical Pathology certification. She was a medical technologist and technical consultant in a clinical laboratory for 13 years and achieved Clinical Laboratory Improvement Amendments (CLIA) certification for the laboratory. She is a laboratory manager at the University of Arizona with 7 years of experience in cardiovascular research and the past 16 years in cancer imaging. Joshua Routh, MD, is an associate professor in the Department of Pathology at Midwestern University with a research focus on molecular diagnostics and precision medicine. He has a broad background in anatomic pathology and laboratory medicine with specific training and expertise in bioinformatics and molecular oncology. As the laboratory director for multiple high-complexity clinical laboratories, he provides scientific and clinical oversight for testing that directs the clinical care of a broad range of patients. Sunchin Kim, MD, is an assistant professor in the Department of Urology at the University of Arizona. He completed his general surgery internship and urology residency at the University of Arizona and completed a genitourinary reconstructive surgery fellowship at the University of California San Diego (UCSD), La Jolla, California, United States. His clinical interests include upper urinary tract reconstruction with robotic, endoscopic, and open approaches. Lucas Struycken, MD, is an assistant professor of Interventional Radiology at the University of Arizona COM—Tucson, Arizona, United States. He is a graduate of the Keck School of Medicine of USC, completed radiology residency at the University of Arizona, and further specialized through a fellowship in vascular and interventional radiology at the same institution. He is passionate about teaching and actively participates in clinical and translational research projects with multiple departments, with a focus on genitourinary, gastrointestinal, and musculoskeletal interventions. Julia Fisher is an assistant research professor at the University of Arizona’s BIO5 Institute and a statistician in the Statistics Consulting Laboratory. Her primary interests are in the development of statistical methods for brain imaging data. In addition, she works with collaborators across the university on a wide range of research. She is experienced in designing and powering studies, analyzing many types of data, handling missing data, and creating balanced comparison groups from nonrandom data. Dominique Galvez is a PhD student at the University of Arizona researching microendoscopes, 3D-printed optics, endoscopic OCT, multimodal imaging, and endoscopic cell collection. She is a member of SPIE and holds a BS degree in optical sciences and engineering from the University of Arizona. Jennifer K. Barton, PhD, is Thomas R. Brown Distinguished Chair in Engineering, a professor in the Department of Biomedical Engineering, and director of the BIO5 Institute at the University of Arizona. Her research interests include the development of miniature multimodality optical endoscopes and light-tissue interaction. She is a fellow and the 2024 President of SPIE. John M. Heusinkveld, MD, is an associate professor at the University of Arizona and a board-certified specialist in Female Pelvic Medicine and Reconstructive Surgery. His clinical practice encompasses the surgical and nonsurgical management of pelvic floor disorders. His career includes dedicated service to the Navajo Nation, international surgical efforts, and substantial contributions to women’s healthcare in post-Taliban Afghanistan. |
Optical coherence tomography
Injuries
Tissues
Image segmentation
Muscles
Biomedical optics
Endoscopy