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Peer-Reviewed Publication
Skeletal Radiol2025;54(7):1469-1478.July 1, 2025Journal Article

Deep learning algorithm enables automated Cobb angle measurements with high accuracy.

Daichi Hayashi1,2, Nor-Eddine Regnard3,4, Jeanne Ventre4, Vincent Marty4, Lauryane Clovis4, Ludovic Lim4, Nicolas Nitche4, Zekun Zhang4, Antoine Tournier4, Alexis Ducarouge4, Andrew J Kompel5, Chadi Tannoury6, Ali Guermazi5,7
1Department of Radiology, Chobanian and Avedisian School of Medicine, Boston University, Boston, MA, USA. daichi.alex.hayashi@gmail.com.
2Department of Radiology, Tufts Medical Center, Tufts University School of Medicine, 800 Washington Street, #299, Boston, MA, 02111, USA. daichi.alex.hayashi@gmail.com.
3Réseau Imagerie Sud Francilien, Lieusaint, France.
4Gleamer, Paris, France.
5Department of Radiology, Chobanian and Avedisian School of Medicine, Boston University, Boston, MA, USA.
6Department of Orthopedic Surgery, Chobanian and Avedisian School of Medicine, Boston University, Boston, MA, USA.
7Department of Radiology, Veterans Affairs Boston Healthcare System, West Roxbury, Boston, MA, USA.
PubMed PMC DOI PDF

Abstract

OBJECTIVE: To determine the accuracy of automatic Cobb angle measurements by deep learning (DL) on full spine radiographs. MATERIALS AND METHODS: Full spine radiographs of patients aged > 2 years were screened using the radiology reports to identify radiographs for performing Cobb angle measurements. Two senior musculoskeletal radiologists and one senior orthopedic surgeon independently annotated…

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