AI-based CT Body Composition Identifies Myosteatosis as Key Mortality Predictor in Asymptomatic Adults

医学 无症状的 内科学 作文(语言) 钥匙(锁) 生物 语言学 哲学 生态学
作者
Maxime Nachit,Yves Horsmans,Ronald M. Summers,Isabelle Leclercq,Perry J. Pickhardt
出处
期刊:Radiology [Radiological Society of North America]
卷期号:307 (5) 被引量:39
标识
DOI:10.1148/radiol.222008
摘要

Background Body composition data have been limited to adults with disease or older age. The prognostic impact in otherwise asymptomatic adults is unclear. Purpose To use artificial intelligence-based body composition metrics from routine abdominal CT scans in asymptomatic adults to clarify the association between obesity, liver steatosis, myopenia, and myosteatosis and the risk of mortality. Materials and Methods In this retrospective single-center study, consecutive adult outpatients undergoing routine colorectal cancer screening from April 2004 to December 2016 were included. Using a U-Net algorithm, the following body composition metrics were extracted from low-dose, noncontrast, supine multidetector abdominal CT scans: total muscle area, muscle density, subcutaneous and visceral fat area, and volumetric liver density. Abnormal body composition was defined by the presence of liver steatosis, obesity, muscle fatty infiltration (myosteatosis), and/or low muscle mass (myopenia). The incidence of death and major adverse cardiovascular events were recorded during a median follow-up of 8.8 years. Multivariable analyses were performed accounting for age, sex, smoking status, myosteatosis, liver steatosis, myopenia, type 2 diabetes, obesity, visceral fat, and history of cardiovascular events. Results Overall, 8982 consecutive outpatients (mean age, 57 years ± 8 [SD]; 5008 female, 3974 male) were included. Abnormal body composition was found in 86% (434 of 507) of patients who died during follow-up. Myosteatosis was found in 278 of 507 patients (55%) who died (15.5% absolute risk at 10 years). Myosteatosis, obesity, liver steatosis, and myopenia were associated with increased mortality risk (hazard ratio [HR]: 4.33 [95% CI: 3.63, 5.16], 1.27 [95% CI: 1.06, 1.53], 1.86 [95% CI: 1.56, 2.21], and 1.75 [95% CI: 1.43, 2.14], respectively). In 8303 patients (excluding 679 patients without complete data), after multivariable adjustment, myosteatosis remained associated with increased mortality risk (HR, 1.89 [95% CI: 1.52, 2.35];
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
tengfei完成签到 ,获得积分10
刚刚
wuming完成签到,获得积分10
刚刚
三只眼小怪兽完成签到,获得积分10
1秒前
2秒前
zmy发布了新的文献求助10
2秒前
yyyy完成签到,获得积分10
3秒前
5秒前
吗喽发布了新的文献求助10
5秒前
5秒前
dongjy应助yelena采纳,获得30
6秒前
Diaory2023完成签到 ,获得积分0
7秒前
7秒前
sweet凤梨发布了新的文献求助10
8秒前
ray发布了新的文献求助10
9秒前
小宇哥LB发布了新的文献求助10
10秒前
12秒前
Pomelo完成签到,获得积分10
13秒前
深情安青应助好好好采纳,获得10
13秒前
量子星尘发布了新的文献求助10
14秒前
14秒前
16秒前
17秒前
17秒前
脑洞疼应助ray采纳,获得10
17秒前
18秒前
小丁发布了新的文献求助10
18秒前
19秒前
jessicaw完成签到,获得积分10
19秒前
20秒前
好好好完成签到,获得积分10
20秒前
gg发布了新的文献求助10
21秒前
Z17发布了新的文献求助10
21秒前
科研通AI2S应助Mmrc采纳,获得10
21秒前
实验耗材发布了新的文献求助10
23秒前
23秒前
好好好发布了新的文献求助10
24秒前
25秒前
33秒前
通通完成签到 ,获得积分10
33秒前
顺利毕业发布了新的文献求助10
38秒前
高分求助中
【提示信息,请勿应助】关于scihub 10000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
A new approach to the extrapolation of accelerated life test data 1000
北师大毕业论文 基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 390
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
Robot-supported joining of reinforcement textiles with one-sided sewing heads 360
Atlas of Interventional Pain Management 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4010774
求助须知:如何正确求助?哪些是违规求助? 3550436
关于积分的说明 11305765
捐赠科研通 3284800
什么是DOI,文献DOI怎么找? 1810853
邀请新用户注册赠送积分活动 886574
科研通“疑难数据库(出版商)”最低求助积分说明 811499