Computed tomography-based radiomics decodes prognostic and molecular differences in interstitial lung disease related to systemic sclerosis.
Janine Gote-SchnieringMalgorzata MaciukiewiczHubert S GabrysMatthias BrunnerChristian BlüthgenChantal MeierSophie Braga-LagacheAnne-Christine UldryManfred HellerMatthias GuckenbergerHåvard FretheimChristos Theodoros NakasAnna-Maria Hoffmann-VoldOliver DistlerThomas FrauenfelderStephanie Tanadini-LangBritta MaurerPublished in: The European respiratory journal (2021)
Radiomics-based risk stratification using routine CT images provides complementary phenotypic, clinical and prognostic information significantly impacting clinical decision-making in SSc-ILD.
Keyphrases
- interstitial lung disease
- systemic sclerosis
- computed tomography
- contrast enhanced
- rheumatoid arthritis
- idiopathic pulmonary fibrosis
- lymph node metastasis
- positron emission tomography
- magnetic resonance imaging
- dual energy
- deep learning
- image quality
- magnetic resonance
- clinical practice
- social media
- health information
- machine learning