Impact of a content-based image retrieval system on the interpretation of chest CTs of patients with diffuse parenchymal lung disease.

Sebastian Röhrich¹, Benedikt H Heidinger¹, Florian Prayer¹, Michael Weber¹, Markus Krenn², Rui Zhang², Julie Sufana², Jakob Scheithe², Incifer Kanbur¹, Aida Korajac¹, Nina Pötsch¹, Marcus Raudner¹, Ali Al-Mukhtar¹, Barbara J Fueger¹, Ruxandra-Iulia Milos¹, Martina Scharitzer¹, Georg Langs^2,3, Helmut Prosch⁴

¹Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.

²contextflow GmbH, Vienna, Austria.

³Computational Imaging Research Lab, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.

⁴Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria. helmut.prosch@meduniwien.ac.at.

PubMed PMC DOI PDF

Abstract

OBJECTIVES: Content-based image retrieval systems (CBIRS) are a new and potentially impactful tool for radiological reporting, but their clinical evaluation is largely missing. This study aimed at assessing the effect of CBIRS on the interpretation of chest CT scans from patients with suspected diffuse parenchymal lung disease (DPLD). MATERIALS AND METHODS: A total of 108 retrospectively included…

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