Am J Gastroenterol. 2024;119(6):1117-1125.
Visceral Adipose Tissue Reduction Measured by Deep Neural Network Architecture Improved Reflux Esophagitis Endoscopic Grade.
제1저자 한유민 · 교신저자 정수진
소속 (5)
- Department of Internal Medicine and Healthcare Research Institute, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, South Korea.
- Department of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Seoul, South Korea.
- Department of Radiology, Seoul National University Hospital and College of Medicine, Seoul, South Korea.
- Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.
- Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, South Korea.
Abstract
INTRODUCTION Visceral obesity is a risk factor for reflux esophagitis (RE). We investigated the risk of RE according to visceral adipose tissue (VAT) measured by deep neural network architecture using computed tomography (CT) and evaluated the longitudinal association between abdominal adipose tissue changes and the disease course of RE.
METHODS Individuals receiving health checkups who underwent esophagogastroduodenoscopy (EGD) and abdominal CT at Seoul National University Healthcare System Gangnam Center between 2015 and 2016 were included. Visceral and subcutaneous adipose tissue areas and volumes were measured using a deep neural network architecture and CT. The association between the abdominal adipose tissue area and volume and the risk of RE was evaluated. Participants who underwent follow-up EGD and abdominal CT were selected; the effects of changes in abdominal adipose tissue area and volume on RE endoscopic grade were investigated using Cox proportional hazards regression.
RESULTS We enrolled 6,570 patients who underwent EGD and abdominal CT on the same day. RE was associated with male sex, hypertension, diabetes, excessive alcohol intake, current smoking status, and levels of physical activity. The VAT area and volume increased the risk of RE dose-dependently. A decreasing VAT volume was significantly associated with improvement in RE endoscopic grade (hazard ratio: 3.22, 95% confidence interval: 1.82-5.71). Changes in subcutaneous adipose tissue volume and the disease course of RE were not significantly correlated.
DISCUSSION Visceral obesity is strongly associated with RE. VAT volume reduction was prospectively associated with improvement in RE endoscopic grade dose-dependently. Visceral obesity is a potential target for RE treatment.
Copyright © 2024 by The American College of Gastroenterology.
그 밖의 정보
- 출판 형태
- Journal Article, Research Support, Non-U.S. Gov't
- 저널
- The American journal of gastroenterology · eISSN 1572-0241
- 전자 출판
- 2024-04-18
- MeSH
- Humans · Male · Female · Middle Aged · Intra-Abdominal Fat* / diagnostic imaging / pathology · Tomography, X-Ray Computed* · Esophagitis, Peptic* / diagnostic imaging / pathology · Endoscopy, Digestive System* / methods · Risk Factors · Adult · Obesity, Abdominal / complications / diagnostic imaging · Neural Networks, Computer · Aged · Retrospective Studies · Severity of Illness Index
- 연구비
- Ministry of Health and Welfare Medical data-driven hospital support project
- 참고문헌
- 25편