已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Meta-Analysis of Interobserver Agreement in Assessment of Interstitial Lung Disease Using High-Resolution CT

医学 间质性肺病 核医学 放射科 分辨率(逻辑) 内科学 人工智能 计算机科学
作者
Liam Delaney,Samer Alabed,Ahmed Maiter,Mahan Salehi,Marcus Goodlad,Hassan Shah,Elliot W Checkley,S. Matthews,Mohamed Kamil,Oscar Evans,Smitha Rajaram,Christopher Johns,Nick Screaton,Andrew J. Swift,Krit Dwivedi
出处
期刊:Radiology [Radiological Society of North America]
卷期号:313 (1): e240016-e240016 被引量:10
标识
DOI:10.1148/radiol.240016
摘要

Background High-resolution CT (HRCT) is central to the assessment of interstitial lung disease (ILD), and accurate classification of disease has important implications for patients. Evaluation of imaging features can be challenging, even for experienced thoracic radiologists. Previous work has provided equivocal evidence on the interpretation of HRCT features at ILD-related imaging. Purpose To perform a meta-analysis to assess the level of agreement among expert thoracic radiologists in interpreting ILD-related imaging. Materials and Methods A systematic literature search from January 2000 to October 2023 of the Ovid MEDLINE, Embase, and Cochrane Central Register of Controlled Trials databases was performed for articles reporting assessments of interobserver agreement between thoracic radiologists for evaluation of ILD findings, such as severity and progression of disease, presence of features such as honeycombing and ground-glass opacification, and classification based on the 2011 and 2018 American Thoracic Society/European Respiratory Society/Japanese Respiratory Society/Asociación Latinoamericana del Tórax (ATS/ERS/JRS/ALAT) guidelines for idiopathic pulmonary fibrosis (IPF). Meta-analysis was performed using a random-effects model to obtain pooled κ or intraclass correlation coefficient (ICC) values as measures of interobserver agreement. Results The final analysis included 13 studies consisting of 6943 images and 146 radiologists. In 10 studies assessing agreement of specific radiologic findings in ILD, the pooled κ value was 0.56 (95% CI: 0.43, 0.70). In eight studies, the assessed interobserver agreement of the ATS/ERS/JRS/ALAT diagnostic guidelines for IPF based on usual interstitial pneumonia (UIP) patterns, the pooled κ value was 0.61 (95% CI: 0.48, 0.74). One study reported a κ value of 0.87 for ILD progression. Seven studies assessing ILD severity could not be pooled; the individual κ values for ILD severity ranged from 0.64 to 0.90, and ICC values ranged from 0.63 to 0.96. Conclusion There was moderate agreement between thoracic radiologists when assessing ILD features and UIP pattern diagnosis but little evidence on agreement of disease severity, extent, or progression. Meta-analysis registry no. PROSPERO CRD42022361803 © RSNA, 2024 Supplemental material is available for this article. See also the editorial by Humbert in this issue.
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
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
1秒前
1秒前
战战兢兢发布了新的文献求助10
1秒前
1秒前
3秒前
大个应助shaperly采纳,获得10
4秒前
5秒前
想人陪的铭完成签到,获得积分10
7秒前
完美世界应助嘎嘎嘎嘎采纳,获得10
8秒前
所所应助Ollm采纳,获得10
9秒前
在水一方应助瘦瘦听云采纳,获得10
9秒前
小明完成签到 ,获得积分10
10秒前
大个应助在宁22222222222采纳,获得10
11秒前
12秒前
大意的谷波完成签到,获得积分10
12秒前
小谷完成签到 ,获得积分10
12秒前
zhoudi完成签到,获得积分10
12秒前
小徐完成签到 ,获得积分10
13秒前
踏实凡儿完成签到 ,获得积分10
14秒前
14秒前
15秒前
英俊的铭应助mcy采纳,获得10
16秒前
枕梦发布了新的文献求助10
19秒前
NexusExplorer应助hbz采纳,获得10
19秒前
20秒前
SmileyZhang完成签到 ,获得积分10
20秒前
在宁22222222222完成签到,获得积分10
23秒前
guan发布了新的文献求助10
24秒前
28秒前
32秒前
DONG完成签到,获得积分10
33秒前
ding应助xiaoguoxiaoguo采纳,获得10
33秒前
ZhuJing发布了新的文献求助20
35秒前
鲜艳的蜻蜓完成签到,获得积分10
35秒前
35秒前
ZhuJing发布了新的文献求助10
36秒前
37秒前
38秒前
ZhuJing发布了新的文献求助10
38秒前
pancover发布了新的文献求助10
38秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Analytical Separation Science 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7548917
求助须知:如何正确求助?哪些是违规求助? 9131931
关于积分的说明 19511963
捐赠科研通 7142076
什么是DOI,文献DOI怎么找? 3259886
关于科研通互助平台的介绍 2426583
邀请新用户注册赠送积分活动 2248592