High-Resolution Computed Tomography to Differentiate Chronic Diffuse
Original article: Clinical research SARCOIDOSIS VASCULITIS AND DIFFUSE LUNG DISEASES 2016; 33; 355-371 © Mattioli 1885 High-resolution computed tomography to differentiate chronic diffuse infiltrative lung diseases with chronic multifocal consolidation patterns using logical analysis of data Constance de Margerie-Mellon1*, Geneviève Dion2*, Julien Darlay3, Imene Ridene4, Marianne Kambouchner5, Nadia Brauner3, Michel Brauner6, Dominique Valeyre7, Pierre-Yves Brillet6 1Department of Radiology, Hôpital Saint-Louis, Université Paris 7 Denis Diderot, Sorbonne Paris-Cité, Paris, France; 2 Department of Pneumology, Centre de Recherche de l’Institut Universitaire de Cardiologie et de Pneumologie de Québec, Québec, Québec, Canada; 3 Labo- ratoire G-SCOP, Université Joseph Fourier, Grenoble, France; 4 Department of Radiology, Hôpital Abderrahmane Mami, Ariana, Tunisie; 5Department of Pathology, EA2363 Laboratory, Hôpital Avicenne, Université Paris 13, Sorbonne Paris Cité, Bobigny, France; 6 Department of Radiology, EA2363 Laboratory, Hôpital Avicenne, Université Paris 13, Sorbonne Paris Cité, Bobigny, France; 7Department of Pneumology, EA2363 Laboratory, Hôpital Avicenne, Université Paris 13, Sorbonne Paris Cité, Bobigny, France Abstract. Background: Chronic lung consolidation has a limited number of differential diagnoses requiring dis- tinct managements. The aim of the study was to investigate how logical analysis of data (LAD) can support their diagnosis at HRCT (high-resolution computed tomography). Methods: One hundred twenty-four patients were retrospectively included and classified into 8 diagnosis categories: sarcoidosis (n=35), connective tissue disease (n=21), adenocarcinoma (n=17), lymphoma (n=13), cryptogenic organizing pneumonia (n=11), drug-induced lung disease (n=9), chronic eosinophilic pneumonia (n =7) and miscellaneous (n=11). First, we investigated the patterns and models (association of patterns characterizing a disease) built-up by the LAD from combina- tions of HRCT attributes (n=51).
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