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Article

Resolving phenotypic and prognostic differences in interstitial lung disease related to systemic sclerosis by computed tomography-based radiomics

2020-06-09

Abstract excerpt

Radiomic features are quantitative data calculated from routine medical images and have shown great potential for disease phenotyping and risk stratification in cancer. Patients with systemic sclerosis (SSc), a multi-organ autoimmune disorder, have a similarly poor prognosis (10-year survival of 66%), due to interstitial lung disease (ILD) as the primary cause of death. Here, we present the analysis of 1,355 stabl...

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Literature Corpus work
8fa4b1c9-26f9-5abd-a798-5b7134d75b3e
DOI
10.1101/2020.06.09.20124800
Open publication

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Resolving phenotypic and prognostic differences in interstitial lung disease related to systemic sclerosis by computed tomography-based radiomicsDOI 10.1101/2020.06.09.20124800
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