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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<jats:sup>+<\/jats:sup> 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<jats:sup>+<\/jats:sup> DM-ILD, namely \u2018MDA5 score\u2019, was then developed with C-index values of 0.80 (95%CI 0.75\u20130.86) in the derivation dataset (n\u2009=\u2009116) and 0.84 (95%CI 0.71\u20130.97) in the validation dataset (n\u2009=\u200957), respectively. While, the AI algorithm-based analysis, namely \u2018AI score\u2019, yielded C-index 0.78 (95%CI 0.72\u20130.84) for the derivation dataset and 0.77 (95%CI 0.64\u20130.90) for the validation dataset. These findings suggest that the newly derived \u2018MDA5 score\u2019 may serve as an applicable prognostic predictor for MDA5<jats:sup>+<\/jats:sup> DM-ILD and facilitate further clinical trial design. The AI based CT quantitative analysis provided a promising solution for ILD evaluation.<\/jats:p>","DOI":"10.1038\/s41598-021-96292-w","type":"journal-article","created":{"date-parts":[[2021,8,23]],"date-time":"2021-08-23T10:40:23Z","timestamp":1629715223000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":34,"title":["A novel CT scoring method predicts the prognosis of interstitial lung disease associated with anti-MDA5 positive dermatomyositis"],"prefix":"10.1038","volume":"11","author":[{"given":"Wenwen","family":"Xu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wanlong","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Danting","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiwei","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinwei","family":"Tao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiangfeng","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kaiwen","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaodong","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuang","family":"Ye","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,8,23]]},"reference":[{"key":"96292_CR1","doi-asserted-by":"publisher","first-page":"1563","DOI":"10.1093\/rheumatology\/kes102","volume":"51","author":"T Gono","year":"2012","unstructured":"Gono, T. et al. 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