Idiopathic Pulmonary Fibrosis: The Association between the Adaptive Multiple Features Method and Fibrosis Outcomes
作者： Margaret L. Salisbury , David A. Lynch , Edwin J. R. van Beek , Ella A. Kazerooni , Junfeng Guo
DOI: 10.1164/RCCM.201607-1385OC
关键词:
摘要: Rationale: Adaptive multiple features method (AMFM) lung texture analysis software recognizes high-resolution computed tomography (HRCT) patterns.Objectives: To evaluate AMFM and visual quantification of HRCT patterns their relationship with disease progression in idiopathic pulmonary fibrosis.Methods: Patients fibrosis a clinical trial prednisone, azathioprine, N-acetylcysteine underwent at study start finish. Proportion occupied by ground glass, glass–reticular (GGR), honeycombing, emphysema, normal densities were measured three radiologists, documenting baseline extent postbaseline change. Disease includes composite mortality, hospitalization, 10% FVC decline.Measurements Main Results: Agreement between measurements was moderate for GGR (Pearson’s correlation r = 0.60, P < 0.0001; mean difference = −0.03 95% limits agreement −0.19 to 0.14). Baseline G...
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