A Computed Tomography Radiomics-Based Prediction Model on Interstitial Lung Disease in Anti-MDA5-Positive Dermatomyositis

Objectives: Anti-melanoma differentiation-associated gene 5-positive dermatomyositis-associated interstitial lung disease (MDA5+ DM-ILD) is a life-threatening disease. The current study aimed to quantitatively assess the pulmonary high-resolution computed tomography (HRCT) images of MDA5+ DM-ILD by...

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Autores principales: Wenwen Xu, Wanlong Wu, Yu Zheng, Zhiwei Chen, Xinwei Tao, Danting Zhang, Jiangfeng Zhao, Kaiwen Wang, Bingpeng Guo, Qun Luo, Qian Han, Yan Zhou, Shuang Ye
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Publicado: Frontiers Media S.A. 2021
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spelling oai:doaj.org-article:a70ada8cd9054a8a8f191cdcdaf647cb2021-12-01T14:22:46ZA Computed Tomography Radiomics-Based Prediction Model on Interstitial Lung Disease in Anti-MDA5-Positive Dermatomyositis2296-858X10.3389/fmed.2021.768052https://doaj.org/article/a70ada8cd9054a8a8f191cdcdaf647cb2021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fmed.2021.768052/fullhttps://doaj.org/toc/2296-858XObjectives: Anti-melanoma differentiation-associated gene 5-positive dermatomyositis-associated interstitial lung disease (MDA5+ DM-ILD) is a life-threatening disease. The current study aimed to quantitatively assess the pulmonary high-resolution computed tomography (HRCT) images of MDA5+ DM-ILD by applying the radiomics approach and establish a multidimensional risk prediction model for the 6-month mortality.Methods: This retrospective study was conducted in 228 patients from two centers, namely, a derivation cohort and a longitudinal internal validation cohort in Renji Hospital, as well as an external validation cohort in Guangzhou. The derivation cohort was randomly divided into training and testing sets. The primary outcome was 6-month all-cause mortality since the time of admission. Baseline pulmonary HRCT images were quantitatively analyzed by radiomics approach, and a radiomic score (Rad-score) was generated. Clinical predictors selected by univariable Cox regression were further incorporated with the Rad-score, to enhance the prediction performance of the final model (Rad-score plus model). In parallel, an idiopathic pulmonary fibrosis (IPF)-based visual CT score and ILD-GAP score were calculated as comparators.Results: The Rad-score was significantly associated with the 6-month mortality, outperformed the traditional visual score and ILD-GAP score. The Rad-score plus model was successfully developed to predict the 6-month mortality, with C-index values of 0.88 [95% confidence interval (CI), 0.79–0.96] in the training set (n = 121), 0.88 (95%CI, 0.71–1.0) in the testing set (n = 31), 0.83 (95%CI, 0.68–0.98) in the internal validation cohort (n = 44), and 0.84 (95%CI, 0.64–1.0) in the external validation cohort (n = 32).Conclusions: The radiomic feature was an independent and reliable prognostic predictor for MDA5+ DM-ILD.Wenwen XuWanlong WuYu ZhengZhiwei ChenXinwei TaoDanting ZhangJiangfeng ZhaoKaiwen WangBingpeng GuoQun LuoQian HanYan ZhouShuang YeFrontiers Media S.A.articleanti-melanoma differentiation-associated gene 5dermatomyositisinterstitial lung diseaseprognosisradiomicsMedicine (General)R5-920ENFrontiers in Medicine, Vol 8 (2021)
institution DOAJ
collection DOAJ
language EN
topic anti-melanoma differentiation-associated gene 5
dermatomyositis
interstitial lung disease
prognosis
radiomics
Medicine (General)
R5-920
spellingShingle anti-melanoma differentiation-associated gene 5
dermatomyositis
interstitial lung disease
prognosis
radiomics
Medicine (General)
R5-920
Wenwen Xu
Wanlong Wu
Yu Zheng
Zhiwei Chen
Xinwei Tao
Danting Zhang
Jiangfeng Zhao
Kaiwen Wang
Bingpeng Guo
Qun Luo
Qian Han
Yan Zhou
Shuang Ye
A Computed Tomography Radiomics-Based Prediction Model on Interstitial Lung Disease in Anti-MDA5-Positive Dermatomyositis
description Objectives: Anti-melanoma differentiation-associated gene 5-positive dermatomyositis-associated interstitial lung disease (MDA5+ DM-ILD) is a life-threatening disease. The current study aimed to quantitatively assess the pulmonary high-resolution computed tomography (HRCT) images of MDA5+ DM-ILD by applying the radiomics approach and establish a multidimensional risk prediction model for the 6-month mortality.Methods: This retrospective study was conducted in 228 patients from two centers, namely, a derivation cohort and a longitudinal internal validation cohort in Renji Hospital, as well as an external validation cohort in Guangzhou. The derivation cohort was randomly divided into training and testing sets. The primary outcome was 6-month all-cause mortality since the time of admission. Baseline pulmonary HRCT images were quantitatively analyzed by radiomics approach, and a radiomic score (Rad-score) was generated. Clinical predictors selected by univariable Cox regression were further incorporated with the Rad-score, to enhance the prediction performance of the final model (Rad-score plus model). In parallel, an idiopathic pulmonary fibrosis (IPF)-based visual CT score and ILD-GAP score were calculated as comparators.Results: The Rad-score was significantly associated with the 6-month mortality, outperformed the traditional visual score and ILD-GAP score. The Rad-score plus model was successfully developed to predict the 6-month mortality, with C-index values of 0.88 [95% confidence interval (CI), 0.79–0.96] in the training set (n = 121), 0.88 (95%CI, 0.71–1.0) in the testing set (n = 31), 0.83 (95%CI, 0.68–0.98) in the internal validation cohort (n = 44), and 0.84 (95%CI, 0.64–1.0) in the external validation cohort (n = 32).Conclusions: The radiomic feature was an independent and reliable prognostic predictor for MDA5+ DM-ILD.
format article
author Wenwen Xu
Wanlong Wu
Yu Zheng
Zhiwei Chen
Xinwei Tao
Danting Zhang
Jiangfeng Zhao
Kaiwen Wang
Bingpeng Guo
Qun Luo
Qian Han
Yan Zhou
Shuang Ye
author_facet Wenwen Xu
Wanlong Wu
Yu Zheng
Zhiwei Chen
Xinwei Tao
Danting Zhang
Jiangfeng Zhao
Kaiwen Wang
Bingpeng Guo
Qun Luo
Qian Han
Yan Zhou
Shuang Ye
author_sort Wenwen Xu
title A Computed Tomography Radiomics-Based Prediction Model on Interstitial Lung Disease in Anti-MDA5-Positive Dermatomyositis
title_short A Computed Tomography Radiomics-Based Prediction Model on Interstitial Lung Disease in Anti-MDA5-Positive Dermatomyositis
title_full A Computed Tomography Radiomics-Based Prediction Model on Interstitial Lung Disease in Anti-MDA5-Positive Dermatomyositis
title_fullStr A Computed Tomography Radiomics-Based Prediction Model on Interstitial Lung Disease in Anti-MDA5-Positive Dermatomyositis
title_full_unstemmed A Computed Tomography Radiomics-Based Prediction Model on Interstitial Lung Disease in Anti-MDA5-Positive Dermatomyositis
title_sort computed tomography radiomics-based prediction model on interstitial lung disease in anti-mda5-positive dermatomyositis
publisher Frontiers Media S.A.
publishDate 2021
url https://doaj.org/article/a70ada8cd9054a8a8f191cdcdaf647cb
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