A simpler diagnostic algorithm of the Japan Esophageal Society classification for Barrett's esophagus-related superficial neoplasia.

Autor: Ikenoyama, Yohei, Goda, Kenichi, Fujisaki, Junko, Ishihara, Ryu, Takeuchi, Manabu, Takahashi, Akiko, Takaki, Yasuhiro, Hirasawa, Dai, Momma, Kumiko, Amano, Yuji, Yagi, Kazuyoshi, Furuhashi, Hiroto, Hashimoto, Satoru, Kanesaka, Takashi, Shimizu, Tomoki, Ono, Yoichiro, Yamagata, Taku, Fujiwara, Junko, Azumi, Takane, Watanabe, Gen
Zdroj: Esophagus; Jan2024, Vol. 21 Issue 1, p22-30, 9p
Abstrakt: Background: We previously developed a Japan Esophageal Society Barrett's Esophagus (JES-BE) magnifying endoscopic classification for superficial BE-related neoplasms (BERN) and validated it in a nationwide multicenter study that followed a diagnostic flow chart based on mucosal and vascular patterns (MP, VP) with nine diagnostic criteria. Our present post hoc analysis aims to further simplify the diagnostic criteria for superficial BERN. Methods: We used data from our previous study, including 10 reviewers' assessments for 156 images of high-magnifying narrow-band imaging (HM-NBI) (67 dysplastic and 89 non-dysplastic histology). We statistically analyzed the diagnostic performance of each diagnostic criterion of MP (form, size, arrangement, density, and white zone), VP (form, caliber change, location, and greenish thick vessels [GTV]), and all their combinations to achieve a simpler diagnostic algorithm to detect superficial BERN. Results: Diagnostic accuracy values based on the MP of each single criterion or combined criteria showed a marked trend of being higher than those based on VP. In reviewers' assessments of visible MPs, the combination of irregularity for form, size, or white zone had the highest diagnostic performance, with a sensitivity of 87% and a specificity of 91% for dysplastic histology; in the assessments of invisible MPs, GTV had the highest diagnostic performance among the VP of each single criterion and all combinations of two or more criteria (sensitivity, 93%; specificity, 92%). Conclusion: The present post hoc analysis suggests the feasibility of further simplifying the diagnostic algorithm of the JES-BE classification. Further studies in a practical setting are required to validate these results. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index
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