Dataset Information

Intraoperative optical coherence tomography-assisted retrocorneal fibrous membrane biopsy and excision.

ABSTRACT: We report a case of retrocorneal fibrous membrane (RCFM) formation following penetrating keratoplasty (PK) and intraoperative optical coherence tomography (OCT)-guided excision of this membrane.A 68-year-old woman with primary open angle glaucoma and corneal decompensation of the right eye secondary to tube shunt presented for 3-month follow-up of PK. On examination of the right eye, the patient was noted to have a glassy pupillary membrane with traction on the iris. Anterior segment OCT confirmed a membrane connecting the iris to host cornea. The patient underwent biopsy and excision of the membrane assisted by intraoperative OCT. Pathological examination was consistent with Descemet's membrane proliferation. We suspect that this membrane represents retained host's Descemet's membrane following corneal transplantation.This case highlights the existence of RCFM formation in the context of retained host cornea following PK and the role of intraoperative OCT in management.

SUBMITTER: Ruland K

PROVIDER: S-EPMC6038824 | biostudies-other | 2018 Sep

REPOSITORIES: biostudies-other

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Intraoperative optical coherence tomography-assisted retrocorneal fibrous membrane biopsy and excision.

Ruland Kelly K Bouldin Thomas W TW Davis Richard M RM Fleischman David D

American journal of ophthalmology case reports 20180621

<h4>Purpose</h4>We report a case of retrocorneal fibrous membrane (RCFM) formation following penetrating keratoplasty (PK) and intraoperative optical coherence tomography (OCT)-guided excision of this membrane.<h4>Observations</h4>A 68-year-old woman with primary open angle glaucoma and corneal decompensation of the right eye secondary to tube shunt presented for 3-month follow-up of PK. On examination of the right eye, the patient was noted to have a glassy pupillary membrane with traction on t ...[more]

PMID: 29998208

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Project description:PurposeTo correlate intraoperative interface fluid dynamics during Descemet stripping automated endothelial keratoplasty (DSAEK) using intraoperative optical coherence tomography (iOCT) in the Prospective Intraoperative and Perioperative Ophthalmic Imaging with Optical Coherence Tomography (PIONEER) study with postoperative outcomes.DesignProspective consecutive, interventional, comparative case series.ParticipantsOne hundred seventy-eight eyes of 173 patients undergoing DSAEK from the Cole Eye Institute, Cleveland, Ohio.MethodsEyes that underwent DSAEK between October 2011 and March 2014 from the PIONEER intraoperative and perioperative OCT study were included. An automated interface fluid segmentation algorithm evaluated intraoperative dynamics of interface fluid before and after surgical manipulations. iOCT images were also captured at multiple intraoperative time points for 2 different DSAEK techniques, 1 that used an active air infusion system and 1 that did not.Main outcome measuresInterface fluid metrics, graft nonadherence.ResultsiOCT measurements of interface fluid after final surgical manipulations and immediately before leaving the operating room identified that total fluid volume (P = .002), largest fluid volume pocket (P = .002), max fluid area (P = .006), mean fluid thickness (P = .03), and max fluid thickness (P = .01) significantly correlated with graft nonadherence rates within the first postoperative week. After placement and optimization of intraoperative lenticle adherence, iOCT revealed a significant difference between the area, volume, and thickness of maximum fluid pockets between the 2 surgical techniques, but both techniques resulted in significant reduction of interface fluid during the procedure.ConclusionsLarger residual interface fluid volume, area, and thickness at the end of surgery detected with iOCT are associated with early graft nonadherence and can be quantified with an automated algorithm. iOCT imaging can successfully capture technique-dependent differences in fluid dynamics during DSAEK.

Project description:Thin-cap fibroatheroma (TCFA) is a prominent risk factor for plaque rupture. Intravascular optical coherence tomography (IVOCT) enables identification of fibrous cap (FC), measurement of FC thicknesses, and assessment of plaque vulnerability. We developed a fully-automated deep learning method for FC segmentation. This study included 32,531 images across 227 pullbacks from two registries (TRANSFORM-OCT and UHCMC). Images were semi-automatically labeled using our OCTOPUS with expert editing using established guidelines. We employed preprocessing including guidewire shadow detection, lumen segmentation, pixel-shifting, and Gaussian filtering on raw IVOCT (r,θ) images. Data were augmented in a natural way by changing θ in spiral acquisitions and by changing intensity and noise values. We used a modified SegResNet and comparison networks to segment FCs. We employed transfer learning from our existing much larger, fully-labeled calcification IVOCT dataset to reduce deep-learning training. Postprocessing with a morphological operation enhanced segmentation performance. Overall, our method consistently delivered better FC segmentation results (Dice: 0.837 ± 0.012) than other deep-learning methods. Transfer learning reduced training time by 84% and reduced the need for more training samples. Our method showed a high level of generalizability, evidenced by highly-consistent segmentations across five-fold cross-validation (sensitivity: 85.0 ± 0.3%, Dice: 0.846 ± 0.011) and the held-out test (sensitivity: 84.9%, Dice: 0.816) sets. In addition, we found excellent agreement of FC thickness with ground truth (2.95 ± 20.73 µm), giving clinically insignificant bias. There was excellent reproducibility in pre- and post-stenting pullbacks (average FC angle: 200.9 ± 128.0°/202.0 ± 121.1°). Our fully automated, deep-learning FC segmentation method demonstrated excellent performance, generalizability, and reproducibility on multi-center datasets. It will be useful for multiple research purposes and potentially for planning stent deployments that avoid placing a stent edge over an FC.

Project description:Intraoperative optical biopsy technologies may aid in the identification of important anatomical landmarks and improve surgical outcomes of robotic assisted radical prostatectomy. We evaluate the feasibility of confocal laser endomicroscopy during robotic assisted radical prostatectomy.A total of 21 patients with biopsy proven prostate cancer scheduled for robotic assisted radical prostatectomy were recruited. After intravenous administration of fluorescein 15 patients underwent in vivo intraoperative confocal laser endomicroscopy of prostatic and periprostatic structures using a 2.6 or 0.85 mm imaging probe. Standard robotic instruments were used to grasp and maneuver the confocal laser endomicroscopy probes for image acquisition. Confocal laser endomicroscopy imaging was performed ex vivo on fresh prostate specimens from 20 patients. Confocal video sequences acquired in vivo and ex vivo were reviewed and analyzed, with additional image processing using a mosaicing algorithm. Processed confocal images were compared with standard hematoxylin and eosin analysis of imaged regions.Confocal laser endomicroscopy was successfully integrated with robotic surgery, including co-registration of confocal video sequences with white light and probe handling with standard robotic instrumentation. Intraoperative confocal laser endomicroscopy imaging of the neurovascular bundle before and after nerve sparing dissection revealed characteristic features including dynamic vascular flow and intact axon fibers. Ex vivo confocal imaging of the prostatic parenchyma demonstrated normal prostate glands, stroma and prostatic carcinoma.We report the initial feasibility of optical biopsy of prostatic and periprostatic tissue during robotic assisted radical prostatectomy. Image guidance and tissue interrogation using confocal laser endomicroscopy offer a new intraoperative imaging method that has the potential to improve the functional and oncologic outcomes of prostate cancer surgery.

Dataset Information

Intraoperative optical coherence tomography-assisted retrocorneal fibrous membrane biopsy and excision.

Publications

Intraoperative optical coherence tomography-assisted retrocorneal fibrous membrane biopsy and excision.

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