Quantitative Computed Tomography Analysis in Rheumatoid Arthritis-Related Interstitial Lung Disease.

IF 9.5 1区 医学 Q1 CRITICAL CARE MEDICINE Chest Pub Date : 2024-11-09 DOI:10.1016/j.chest.2024.10.052
Stephen M Humphries, Ayodeji Adegunsoye, M Kristen Demoruelle, Michelle Li Wei Kam, Isabelle Amigues, Tami J Bang, Shawn D Teague, David A Lynch, Jonathan H Chung, Mary E Strek, Jeffrey J Swigris, Joshua J Solomon
{"title":"Quantitative Computed Tomography Analysis in Rheumatoid Arthritis-Related Interstitial Lung Disease.","authors":"Stephen M Humphries, Ayodeji Adegunsoye, M Kristen Demoruelle, Michelle Li Wei Kam, Isabelle Amigues, Tami J Bang, Shawn D Teague, David A Lynch, Jonathan H Chung, Mary E Strek, Jeffrey J Swigris, Joshua J Solomon","doi":"10.1016/j.chest.2024.10.052","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Quantitative chest computed tomography (CT) may be a useful predictor of outcome in rheumatoid arthritis-related interstitial lung disease (RA-ILD).</p><p><strong>Research question: </strong>What is the utility of deep learning-based lung fibrosis quantitation on CT in assessing disease severity, predicting mortality and identifying progression in RA-ILD?</p><p><strong>Study design and methods: </strong>CT scans on a primary cohort of 289 and a validation cohort of 50 individuals with RA-ILD were assessed quantitatively by using the data-driven texture analysis (DTA) method. We examined associations between quantitative scores for extent of lung fibrosis and pulmonary function and survival.</p><p><strong>Results: </strong>DTA fibrosis score at baseline showed moderate negative correlation with forced vital capacity (FVC) percentage predicted (primary cohort rho=-0.55, validation cohort rho= -0.50, p<0.001 for both), and diffusing capacity for carbon monoxide (DLCO) percentage predicted (primary cohort rho=-0.67, validation cohort rho=-0.65, p<0.001 for both). Longitudinal change in DTA fibrosis score was associated with changes in FVC and DLCO in the primary cohort (rho=-0.46 and rho=-0.43, respectively, p<0.001 for both). Cox multivariable models adjusted for potentially influential variables showed that the baseline DTA fibrosis score was significantly associated with mortality risk (primary cohort hazard ratio [HR] 1.04, 95% confidence interval [1.03, 1.05], p<0.001; validation cohort HR 1.06, 95% confidence interval [1.01, 1.11], p=0.026). In the primary cohort increase in DTA fibrosis score on sequential scans was associated with increased risk of mortality (HR 1.04, 95% confidence interval [1.01, 1.06], p=0.003) independent of baseline DTA extent.</p><p><strong>Interpretation: </strong>In two cohorts of patients with RA-ILD, quantitative assessment of lung fibrosis on CT was associated with worse lung function at baseline and risk of mortality. Increase in DTA-derived lung fibrosis score on sequential scans was associated with subsequent risk of mortality. Quantitative CT should be considered for use as a clinical and research outcome assessment tool in RA-ILD.</p>","PeriodicalId":9782,"journal":{"name":"Chest","volume":" ","pages":""},"PeriodicalIF":9.5000,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chest","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.chest.2024.10.052","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CRITICAL CARE MEDICINE","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Quantitative chest computed tomography (CT) may be a useful predictor of outcome in rheumatoid arthritis-related interstitial lung disease (RA-ILD).

Research question: What is the utility of deep learning-based lung fibrosis quantitation on CT in assessing disease severity, predicting mortality and identifying progression in RA-ILD?

Study design and methods: CT scans on a primary cohort of 289 and a validation cohort of 50 individuals with RA-ILD were assessed quantitatively by using the data-driven texture analysis (DTA) method. We examined associations between quantitative scores for extent of lung fibrosis and pulmonary function and survival.

Results: DTA fibrosis score at baseline showed moderate negative correlation with forced vital capacity (FVC) percentage predicted (primary cohort rho=-0.55, validation cohort rho= -0.50, p<0.001 for both), and diffusing capacity for carbon monoxide (DLCO) percentage predicted (primary cohort rho=-0.67, validation cohort rho=-0.65, p<0.001 for both). Longitudinal change in DTA fibrosis score was associated with changes in FVC and DLCO in the primary cohort (rho=-0.46 and rho=-0.43, respectively, p<0.001 for both). Cox multivariable models adjusted for potentially influential variables showed that the baseline DTA fibrosis score was significantly associated with mortality risk (primary cohort hazard ratio [HR] 1.04, 95% confidence interval [1.03, 1.05], p<0.001; validation cohort HR 1.06, 95% confidence interval [1.01, 1.11], p=0.026). In the primary cohort increase in DTA fibrosis score on sequential scans was associated with increased risk of mortality (HR 1.04, 95% confidence interval [1.01, 1.06], p=0.003) independent of baseline DTA extent.

Interpretation: In two cohorts of patients with RA-ILD, quantitative assessment of lung fibrosis on CT was associated with worse lung function at baseline and risk of mortality. Increase in DTA-derived lung fibrosis score on sequential scans was associated with subsequent risk of mortality. Quantitative CT should be considered for use as a clinical and research outcome assessment tool in RA-ILD.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
类风湿性关节炎相关间质性肺病的定量计算机断层扫描分析
背景:定量胸部计算机断层扫描(CT胸部计算机断层扫描(CT)定量可能是类风湿性关节炎相关间质性肺病(RA-ILD)预后的有效预测指标:研究问题:基于深度学习的CT肺纤维化定量在评估疾病严重程度、预测死亡率和识别RA-ILD进展方面有什么用处?采用数据驱动纹理分析(DTA)方法,对289名主要队列和50名验证队列的RA-ILD患者的CT扫描进行定量评估。我们研究了肺纤维化程度和肺功能的定量评分与生存之间的关系:基线时的 DTA 纤维化评分与肺活量(FVC)预测百分比呈中度负相关(主要队列 rho=-0.55,验证队列 rho=-0.50,p解释):在两组RA-ILD患者中,CT上肺纤维化的定量评估与基线肺功能恶化和死亡风险有关。连续扫描中DTA衍生肺纤维化评分的增加与随后的死亡风险有关。应考虑将定量 CT 用作 RA-ILD 的临床和研究结果评估工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Chest
Chest 医学-呼吸系统
CiteScore
13.70
自引率
3.10%
发文量
3369
审稿时长
15 days
期刊介绍: At CHEST, our mission is to revolutionize patient care through the collaboration of multidisciplinary clinicians in the fields of pulmonary, critical care, and sleep medicine. We achieve this by publishing cutting-edge clinical research that addresses current challenges and brings forth future advancements. To enhance understanding in a rapidly evolving field, CHEST also features review articles, commentaries, and facilitates discussions on emerging controversies. We place great emphasis on scientific rigor, employing a rigorous peer review process, and ensuring all accepted content is published online within two weeks.
期刊最新文献
Associations of socioeconomic status and phenotypic frailty with incident chronic obstructive pulmonary disease: findings from UK Biobank participants. Clinical accuracy and risk of harm in asthma related content on TikTok. Effects of β-blockers on the Outcomes in Patients with Pulmonary Arterial Hypertension Stratified by the Presence of Comorbid Conditions: a Multicenter Prospective Cohort Study (BNP-PL). Quantitative Computed Tomography Analysis in Rheumatoid Arthritis-Related Interstitial Lung Disease. Results of the SHARP Study: A Randomized, Placebo-Controlled, Double-Blind, Repeated-Measures, Crossover, Phase IV Clinical Trial of the Effect of the Wake-Promoting Agent Solriamfetol on Cognitive Function in Obstructive Sleep Apnea With Excessive Daytime Sleepiness and Cognitive Impairment.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1