AI-supported opportunistic detection of vertebral fractures on routine CT scans: Diagnostic performance and clinical relevance.

Martina Behanova¹, Anton Sokhan¹, Judith Haschka², Shahin Zandieh³, Christoph Salzlechner⁴, Richard Ljuhar⁴, Jochen Zwerina², Roland Kocijan⁵

¹Ludwig Boltzmann Institute of Osteology at the Hanusch Hospital of OEGK and AUVA Trauma Centre Meidling, 1(st) Medical Department, Hanusch Hospital, 1140, Vienna, Austria; Sigmund Freud University Vienna, School of Medicine, Metabolic Bone Diseases Unit, Vienna, Austria.

²Ludwig Boltzmann Institute of Osteology at the Hanusch Hospital of OEGK and AUVA Trauma Centre Meidling, 1(st) Medical Department, Hanusch Hospital, 1140, Vienna, Austria.

³Department for Radiology and Nuclear Medicine at Hanusch hospital of OEGK, Hanusch Hospital, 1140, Vienna, Austria.

⁴Department for Research and Development, IB Lab GmbH, Zehetnergasse 6/2/2, 1140, Vienna, Austria.

⁵Ludwig Boltzmann Institute of Osteology at the Hanusch Hospital of OEGK and AUVA Trauma Centre Meidling, 1(st) Medical Department, Hanusch Hospital, 1140, Vienna, Austria; Sigmund Freud University Vienna, School of Medicine, Metabolic Bone Diseases Unit, Vienna, Austria. Electronic address: roland.kocijan@lbg.ac.at.

PubMed DOI

Abstract

BACKGROUND: Vertebral fractures (VFs) are among the most common osteoporotic fractures, yet they are frequently underdiagnosed and left untreated. The use of an artificial intelligence (AI) tool may support improved detection rates. This study aimed to evaluate the diagnostic performance of the AI-based software (IB Lab FLAMINGO) in identifying VFs on thoracic and abdominal CT scans, using radiolo…

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