Advanced Imaging and Sampling in Barrett’s Esophagus
| Autor: | Maarten R. Struyvenberg, Albert J. de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H.N. de With, Vani J.A. Konda, Wouter L. Curvers |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
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 |
| Zdroj: | Gastrointestinal Endoscopy Clinics of North America. 31:91-103 |
| ISSN: | 1052-5157 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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