A novel CT scoring method predicts the prognosis of interstitial lung disease associated with anti-MDA5 positive dermatomyositis

Abstract Anti-melanoma differentiation-associated gene 5-positive dermatomyositis-associated interstitial lung disease (MDA5+ DM-ILD) is a life-threatening disease. This study aimed to develop a novel pulmonary CT visual scoring method for assessing the prognosis of the disease, and an artificial in...

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Autores principales:	Wenwen Xu, Wanlong Wu, Danting Zhang, Zhiwei Chen, Xinwei Tao, Jiangfeng Zhao, Kaiwen Wang, Xiaodong Wang, Yu Zheng, Shuang Ye
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/8c18c0a5e9d1498499218ec1f3dd3a72
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spelling	oai:doaj.org-article:8c18c0a5e9d1498499218ec1f3dd3a722021-12-02T15:09:06ZA novel CT scoring method predicts the prognosis of interstitial lung disease associated with anti-MDA5 positive dermatomyositis10.1038/s41598-021-96292-w2045-2322https://doaj.org/article/8c18c0a5e9d1498499218ec1f3dd3a722021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-96292-whttps://doaj.org/toc/2045-2322Abstract Anti-melanoma differentiation-associated gene 5-positive dermatomyositis-associated interstitial lung disease (MDA5+ DM-ILD) is a life-threatening disease. This study aimed to develop a novel pulmonary CT visual scoring method for assessing the prognosis of the disease, and an artificial intelligence (AI) algorithm-based analysis and an idiopathic pulmonary fibrosis (IPF)-based scoring were conducted as comparators. A retrospective cohort of hospitalized patients with MDA5+ DM-ILD was analyzed. Since most fatalities occur within the first half year of the disease course, the primary outcome was the six-month all-cause mortality since the time of admission. A ground glass opacity (GGO) and consolidation-weighted CT visual scoring model for MDA5+ DM-ILD, namely ‘MDA5 score’, was then developed with C-index values of 0.80 (95%CI 0.75–0.86) in the derivation dataset (n = 116) and 0.84 (95%CI 0.71–0.97) in the validation dataset (n = 57), respectively. While, the AI algorithm-based analysis, namely ‘AI score’, yielded C-index 0.78 (95%CI 0.72–0.84) for the derivation dataset and 0.77 (95%CI 0.64–0.90) for the validation dataset. These findings suggest that the newly derived ‘MDA5 score’ may serve as an applicable prognostic predictor for MDA5+ DM-ILD and facilitate further clinical trial design. The AI based CT quantitative analysis provided a promising solution for ILD evaluation.Wenwen XuWanlong WuDanting ZhangZhiwei ChenXinwei TaoJiangfeng ZhaoKaiwen WangXiaodong WangYu ZhengShuang YeNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Wenwen Xu Wanlong Wu Danting Zhang Zhiwei Chen Xinwei Tao Jiangfeng Zhao Kaiwen Wang Xiaodong Wang Yu Zheng Shuang Ye A novel CT scoring method predicts the prognosis of interstitial lung disease associated with anti-MDA5 positive dermatomyositis
description	Abstract Anti-melanoma differentiation-associated gene 5-positive dermatomyositis-associated interstitial lung disease (MDA5+ DM-ILD) is a life-threatening disease. This study aimed to develop a novel pulmonary CT visual scoring method for assessing the prognosis of the disease, and an artificial intelligence (AI) algorithm-based analysis and an idiopathic pulmonary fibrosis (IPF)-based scoring were conducted as comparators. A retrospective cohort of hospitalized patients with MDA5+ DM-ILD was analyzed. Since most fatalities occur within the first half year of the disease course, the primary outcome was the six-month all-cause mortality since the time of admission. A ground glass opacity (GGO) and consolidation-weighted CT visual scoring model for MDA5+ DM-ILD, namely ‘MDA5 score’, was then developed with C-index values of 0.80 (95%CI 0.75–0.86) in the derivation dataset (n = 116) and 0.84 (95%CI 0.71–0.97) in the validation dataset (n = 57), respectively. While, the AI algorithm-based analysis, namely ‘AI score’, yielded C-index 0.78 (95%CI 0.72–0.84) for the derivation dataset and 0.77 (95%CI 0.64–0.90) for the validation dataset. These findings suggest that the newly derived ‘MDA5 score’ may serve as an applicable prognostic predictor for MDA5+ DM-ILD and facilitate further clinical trial design. The AI based CT quantitative analysis provided a promising solution for ILD evaluation.
format	article
author	Wenwen Xu Wanlong Wu Danting Zhang Zhiwei Chen Xinwei Tao Jiangfeng Zhao Kaiwen Wang Xiaodong Wang Yu Zheng Shuang Ye
author_facet	Wenwen Xu Wanlong Wu Danting Zhang Zhiwei Chen Xinwei Tao Jiangfeng Zhao Kaiwen Wang Xiaodong Wang Yu Zheng Shuang Ye
author_sort	Wenwen Xu
title	A novel CT scoring method predicts the prognosis of interstitial lung disease associated with anti-MDA5 positive dermatomyositis
title_short	A novel CT scoring method predicts the prognosis of interstitial lung disease associated with anti-MDA5 positive dermatomyositis
title_full	A novel CT scoring method predicts the prognosis of interstitial lung disease associated with anti-MDA5 positive dermatomyositis
title_fullStr	A novel CT scoring method predicts the prognosis of interstitial lung disease associated with anti-MDA5 positive dermatomyositis
title_full_unstemmed	A novel CT scoring method predicts the prognosis of interstitial lung disease associated with anti-MDA5 positive dermatomyositis
title_sort	novel ct scoring method predicts the prognosis of interstitial lung disease associated with anti-mda5 positive dermatomyositis
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/8c18c0a5e9d1498499218ec1f3dd3a72
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A novel CT scoring method predicts the prognosis of interstitial lung disease associated with anti-MDA5 positive dermatomyositis

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