期刊
CLINICAL AND TRANSLATIONAL GASTROENTEROLOGY
卷 12, 期 12, 页码 -出版社
LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.14309/ctg.0000000000000422
关键词
-
资金
- CDX Diagnostics
Barrett's esophagus (BE) is a premalignant condition that can be effectively monitored and managed using the Wide-area transepithelial sampling with computer-assisted three-dimensional analysis (WATS(3D)) technique, which has shown to significantly increase detection rates of dysplasia and intestinal metaplasia in BE patients.
Barrett's esophagus (BE) is a premalignant condition in which cancer prevention is performed by endoscopic surveillance combined with Seattle protocol mucosal biopsies. The Seattle protocol has significant limitations, including a high rate of sampling error due to the focality of dysplasia/carcinoma, low endoscopist adherence to the protocol, and a high degree of variability in pathologic interpretation. These factors all contribute to a high incidence of cancers missed within 1 year of surveillance endoscopy. Wide-area transepithelial sampling with computer-assisted three-dimensional analysis (WATS(3D)) is a relatively new technique that minimizes sampling error by using a brush biopsy device that extensively samples at risk mucosa and helps pathologists diagnose dysplasia/neoplasia by generating three-dimensional images of whole crypts using a neural network-based software program. Several large prospective trials (involving both academic and community practices) have shown significantly increased rates of detection of dysplasia and intestinal metaplasia in both screening and surveillance in patients with BE when used as an adjunct to Seattle protocol-based forceps biopsies. The WATS(3D) diagnostic platform was included in the most recent American Society for Gastrointestinal Endoscopy Barrett's guideline as an adjunct to forceps biopsies (conditional recommendation and low quality of evidence). This review summarizes the scientific and pathologic basis of WATS(3D) technology, its potential impact on BE surveillance and management, and its limitations and future directions.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据