Person: Shishkov, Milen
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Publication Identifying Intestinal Metaplasia at the Squamocolumnar Junction by Using Optical Coherence Tomography
(Elsevier BV, 2007) Evans, John A.; Bouma, Brett; Bressner, Jason; Shishkov, Milen; Lauwers, Gregory Y.; Mino-Kenudson, Mari; Nishioka, Norman; Tearney, GuillermoBackground: Optical coherence tomography (OCT) is an optical imaging method that produces high-resolution cross-sectional images of the esophagus. The accuracy of OCT for differentiating tissue types at the squamocolumnar junction (SCJ) has not been established. Objective: The purpose of this study was to identify and validate OCT image criteria for distinguishing metaplastic from nonmetaplastic tissue at the SCJ. Design: A total of 196 biopsy-correlated OCT images of the SCJ were acquired from 113 patients undergoing upper endoscopy. A pathologist blinded to the OCT results reviewed each pathology specimen and determined the presence of the following histopathology: gastric cardia, squamous mucosa, pancreatic metaplasia, and intestinal metaplasia. An algorithm for diagnosing specialized intestinal metaplasia (SIM) was created by reviewing a training set of 40 biopsy-correlated OCT images. Two blinded investigators prospectively tested the algorithm on a validation set of 123 images. Results: OCT images of squamous mucosa were characterized by a layered appearance without epithelial glands; gastric cardia, by vertical pit and gland structure, a well-defined epithelial surface reflectivity, and relatively poor image penetration; and SIM by an irregular architecture and good image penetration. The OCT criteria were 85% sensitive and 95% specific for SIM when applied retrospectively to the training set. When applied to the validation set, the algorithm was 81% sensitive for both OCT readers and 66% and 57% specific for diagnosing SIM. The interobserver agreement was good (κ = 0.53). Conclusions: OCT imaging can identify SIM at the SCJ with an accuracy similar to that of endoscopy.
Publication Comprehensive Microscopy of the Esophagus in Human Patients with Optical Frequency Domain Imaging
(Elsevier BV, 2008) Suter, Melissa; Vakoc, Benjamin; Yachimski, Patrick S.; Shishkov, Milen; Lauwers, Gregory Y.; Mino-Kenudson, Mari; Bouma, Brett; Nishioka, Norman; Tearney, GuillermoBackground: Optical coherence tomography (OCT) is a cross-sectional, high-resolution imaging modality that has been shown to accurately differentiate esophageal specialized intestinal metaplasia (SIM) from gastric cardia at the squamocolumnar junction (SCJ) and diagnose high-grade dysplasia and intramucosal carcinoma in patients with SIM. The clinical utility of OCT has been limited, however, by its inability to acquire images over large areas. Objective: The aim of this study was to use recently developed high-speed OCT technology, termed optical frequency domain imaging (OFDI), and a new balloon-centering catheter (2.5 cm diameter) to demonstrate the feasibility of large area, comprehensive optical microscopy of the entire distal esophagus (∼6.0 cm) in patients. Design: A pilot feasibility study. Setting: Massachusetts General Hospital. Patients: Twelve patients undergoing routine EGD. Results: Comprehensive microscopy of the distal esophagus was successfully performed in 10 patients with the OFDI system and balloon catheter. There were no complications resulting from the imaging procedure. Volumetric data sets were acquired in less than 2 minutes. OFDI images at the SCJ showed a variety of microscopic features that were consistent with histopathologic findings, including squamous mucosa, cardia, SIM with and without dysplasia, and esophageal erosion. Limitations: Inability to obtain direct correlation of OFDI data and histopathologic diagnoses. Conclusions: Comprehensive volumetric microscopy of the human distal esophagus was successfully demonstrated with OFDI and a balloon-centering catheter, providing a wealth of detailed information about the structure of the esophageal wall. This technique will support future studies to compare OFDI image information with histopathologic diagnoses.