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Advanced Imaging and Sampling in Barrett’s Esophagus
- Source :
- Gastrointestinal Endoscopy Clinics of North America. 31:91-103
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- Because the current Barrett's esophagus (BE) surveillance protocol suffers from sampling error of random biopsies and a high miss-rate of early neoplastic lesions, many new endoscopic imaging and sampling techniques have been developed. None of these techniques, however, have significantly increased the diagnostic yield of BE neoplasia. In fact, these techniques have led to an increase in the amount of visible information, yet endoscopists and pathologists inevitably suffer from variations in intra- and interobserver agreement. Artificial intelligence systems have the potential to overcome these endoscopist-dependent limitations.
- Subjects :
- medicine.diagnostic_test
business.industry
Gastroenterology
Sampling (statistics)
Sampling error
medicine.disease
Endoscopy
03 medical and health sciences
Endoscopic imaging
0302 clinical medicine
medicine.anatomical_structure
030220 oncology & carcinogenesis
Barrett's esophagus
medicine
030211 gastroenterology & hepatology
Artificial intelligence
Esophagus
business
Subjects
Details
- ISSN :
- 10525157
- Volume :
- 31
- Database :
- OpenAIRE
- Journal :
- Gastrointestinal Endoscopy Clinics of North America
- Accession number :
- edsair.doi...........54b3daa02eee64fc90e6e377a934dbd4
- Full Text :
- https://doi.org/10.1016/j.giec.2020.08.006