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Abdom Radiol (NY)2026;51(5):2631-2641.May 1, 2026Journal Article

Advancing osteoporosis opportunistic screening: multicenter validation of a deep learning algorithm using abdominal CT scans.

Augusto Sarquis Serpa1,2,3, Marcelo Straus Takahashi4, Eduardo Moreno Júdice de Mattos Farina5,6, Sean Bennett7, Nishith Khandwala7, Melissa Major7, Jack Paparian7, Fernanda Garozzo Velloni6, Steven Rothenberg8, Leonardo Kayat Bittencourt9,10, Ross Warren Filice11, John Mongan12, Felipe Campos Kitamura5,7
1Departamento de Diagnóstico por Imagem, Federal University of São Paulo, São Paulo, Brazil. augusto.esd5@gmail.com.
2Instituto de Radiologia, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil. augusto.esd5@gmail.com.
3Bunkerhill Health, San Francisco, USA. augusto.esd5@gmail.com.
4Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, USA.
5Departamento de Diagnóstico por Imagem, Federal University of São Paulo, São Paulo, Brazil.
6Dasa, São Paulo, Brazil.
7Bunkerhill Health, San Francisco, USA.
8Department of Radiology, University of Alabama at Birmingham, Birmingham, USA.
9Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, USA.
10Case Western Reserve University, Cleveland, USA.
11Department of Radiology, MedStar Georgetown University Hospital, Washington, DC, USA.
12Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, USA.
PubMed DOI

Abstract

OBJECTIVES: To develop and do multicenter validation on an algorithm that screens for osteoporosis from abdominal CTs. METHODS: This is a diagnostic accuracy study with retrospective data from January 2022 to July 2022 consisting of two steps: a segmentation step of the lumbar vertebral bodies, involving outpatient non-contrast abdominal CTs from Diagnósticos da América S/A (Dasa), and a multicen…

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