The RSNA Cervical Spine Fracture CT Dataset

Hui Ming Lin; Errol Colak; Tyler Richards; Felipe C Kitamura; Luciano M Prevedello; Jason Talbott; Robyn L Ball; Ekim Gumeler; Kristen W Yeom; Mohammad Hamghalam; Amber L Simpson; Jasna Strika; Deniz Bulja; Salita Angkurawaranon; Almudena Pérez-Lara; María Isabel Gómez-Alonso; Johanna Ortiz Jiménez; Jacob J Peoples; Meng Law; Hakan Dogan; Emre Altinmakas; Ayda Youssef; Yasser Mahfouz; Jayashree Kalpathy-Cramer; Adam E Flanders; RSNA-ASSR-ASNR Annotators and the Dataset Curation Contributors

doi:10.1148/ryai.230034

The RSNA Cervical Spine Fracture CT Dataset

Radiol Artif Intell. 2023 Aug 30;5(5):e230034. doi: 10.1148/ryai.230034. eCollection 2023 Sep.

Authors

Hui Ming Lin¹, Errol Colak¹, Tyler Richards¹, Felipe C Kitamura¹, Luciano M Prevedello¹, Jason Talbott¹, Robyn L Ball¹, Ekim Gumeler¹, Kristen W Yeom¹, Mohammad Hamghalam¹, Amber L Simpson¹, Jasna Strika¹, Deniz Bulja¹, Salita Angkurawaranon¹, Almudena Pérez-Lara¹, María Isabel Gómez-Alonso¹, Johanna Ortiz Jiménez¹, Jacob J Peoples¹, Meng Law¹, Hakan Dogan¹, Emre Altinmakas¹, Ayda Youssef¹, Yasser Mahfouz¹, Jayashree Kalpathy-Cramer¹, Adam E Flanders¹; RSNA-ASSR-ASNR Annotators and the Dataset Curation Contributors

Affiliation

¹ From the Department of Medical Imaging, St Michael's Hospital, Unity Health Toronto, 30 Bond St, Toronto, ON, Canada M5B 1W8 (H.M.L., E.C.); Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada (E.C.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (T.R.); Dasa, Universidade Federal de São Paulo (Unifesp), São Paulo, Brazil (F.C.K.); Department of Radiology, The Ohio State University, Columbus, Ohio (L.M.P.); Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, Calif (J.T.); The Jackson Laboratory, Bar Harbor, Maine (R.L.B.); Department of Radiology, Hacettepe University, Ankara, Turkey (E.G.); Standard School of Medicine, Stanford University, Stanford, Calif (K.W.Y.); School of Computing (M.H., A.L.S., J.J.P.), Department of Biomedical and Molecular Sciences (A.L.S.), and Department of Diagnostic Radiology (J.O.J.), Queen's University, Kingston, Ontario, Canada; Department of Biomedical Engineering, Qazvin Branch, Islamic Azad University, Qazin, Iran (M.H.); Department of Radiology, Cantonal Hospital Zenica, Zenica, Bosnia and Herzegovina (J.S.); Clinic of Radiology, Clinical Center University of Sarajevo, Sarajevo, Bosnia and Herzegovina (D.B.); Department of Radiology, Chiang Mai University, Chiang Mai, Thailand (S.A.); Department of Radiology, Hospital Regional Universitario de Málaga, Málaga, Spain (A.P.L.); Department of Radiology, Hospital Quirónsalud Málaga, Málaga, Spain (M.I.G.A.); Department of Radiology and Nuclear Medicine, Alfred Health, Monash University, Melbourne, Australia (M.L.); Department of Radiology, Koç University School of Medicine, Istanbul, Turkey (H.D., E.A.); Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (E.A.); Department of Radiology, National Cancer Institute, Cairo University, Cairo, Egypt (A.Y.); Department of Radiology, Sultan Qaboos University Hospital, Muscat, Oman (Y.M.); Department of Ophthalmology, University of Colorado Anschutz Medical Campus, Aurora, Colo (J.K.C.); Department of Radiology and Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Mass (J.K.C.); and Department of Radiology, Division of Neuroradiology, Thomas Jefferson University, Philadelphia, Pa (A.E.F.).

Abstract

This dataset is composed of cervical spine CT images with annotations related to fractures; it is available at https://www.kaggle.com/competitions/rsna-2022-cervical-spine-fracture-detection/.

Keywords: CT; Diagnosis; Feature Detection; Head/Neck; Informatics; Segmentation; Spine.

Grants and funding

R01 CA233888/CA/NCI NIH HHS/United States