Image analysis for classification of dysplasia in Barrett’s esophagus using endoscopic optical coherence tomography

Abstract

Barrett’s esophagus (BE) and associated adenocarcinoma have emerged as a major health care problem. Endoscopic optical coherence tomography is a microscopic sub-surface imaging technology that has been shown to differentiate tissue layers of the gastrointestinal wall and identify dysplasia in the mucosa, and is proposed as a surveillance tool to aid in management of BE. In this work a computer-aided diagnosis (CAD) system has been demonstrated for classification of dysplasia in Barrett’s esophagus using EOCT. The system is composed of four modules: region of interest segmentation, dysplasia-related image feature extraction, feature selection, and site classification and validation. Multiple feature extraction and classification methods were evaluated and the process of developing the CAD system is described in detail. Use of multiple EOCT images to classify a single site was also investigated. A total of 96 EOCT image-biopsy pairs (63 non-dysplastic, 26 low-grade and 7 high-grade dysplastic biopsy sites) from a previously described clinical study were analyzed using the CAD system, yielding an accuracy of 84% for classification of non-dysplastic vs. dysplastic BE tissue. The results motivate continued development of CAD to potentially enable EOCT surveillance of large surface areas of Barrett’s mucosa to identify dysplasia.

Toward the Guidance of Transbronchial Biopsy

“…Table 1 summarizes the OCT interpretation criteria for lung parenchyma and SPN. The OCT interpretation criteria for lung parenchyma included the been used with high accuracy in a wide variety of clinical applications, including catheter-based cardiovascular 11,[15][16][17][18][19][20][21][22][23] and GI 9,11,[24][25][26][27][28][29] imaging.…”

Computer-aided detection of early Barrett’s neoplasia using volumetric laser endomicroscopy

“…19 12 In a successive study, a larger OCT dataset (690 OCT images from almost 100 biopsy sites) and improved image analysis methodology was used. 13 The image classification features were based on similar characteristics of neoplastic mucosa as in our study. In addition, use of multiple OCT frames in comparison to single image analysis was examined, resulting in a significantly improved sensitivity for classification of the images.…”

“…11 Other studies have shown that image analysis and computer-aided diagnosis can aid in classification of neoplasia in OCT images. 12,13 The aim of this study was to investigate the feasibility of a computer algorithm to detect early BE neoplasia on ex vivo VLE images.…”

In Vivo Optical Coherence Tomography: The Role of the Pathologist

“…[45][46][47][48][49][50][51][52][53] A novel ballooncentering OCT catheter was developed to conduct volumetric imaging of the entire distal esophagus (6 cm) ( Figure 1, B). 53 Squamous mucosa is characterized by the presence of layering without epithelial glands.…”

“…53 The potential of OCT to diagnose SIM has been demonstrated in prospective studies, with sensitivities of 81% to 97% and specificities of 57% to 92%. [45][46][47][48][49][50][51][52][53] Additionally, studies have demonstrated successful grading of dysplasia with OCT. Reported sensitivities and specificities for detecting high-grade dysplasia/intramucosal carcinoma range from 54% to 83% and 72% to 75%, respectively. [45][46][47][48][49][50][51][52][53] Currently, studies are being conducted to evaluate real-time endoscopic OCT-guided biopsy with laser marking in patients.…”