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":"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","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":"{\"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}","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}
Quantitative Computed Tomography Analysis in Rheumatoid Arthritis-Related Interstitial Lung Disease.
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.
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.