Generalizability of Deep Learning Classification of Spinal Osteoporotic Compression Fractures on Radiographs Using an Adaptation of the Modified-2 Algorithm-Based Qualitative Criteria.

Journal: Academic radiology
PMID: 37438161

Abstract

RATIONALE AND OBJECTIVES: Spinal osteoporotic compression fractures (OCFs) can be an early biomarker for osteoporosis but are often subtle, incidental, and underreported. To ensure early diagnosis and treatment of osteoporosis, we aimed to build a deep learning vertebral body classifier for OCFs as a critical component of our future automated opportunistic screening tool.

Authors

  • Qifei Dong
    Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington.
  • Gang Luo
    Department of Biomedical Informatics and Medical Education, University of Washington UW Medicine South Lake Union, 850 Republican Street, Building C, Box 358047 Seattle, WA 98195, USA, luogang@uw.edu.
  • Nancy E Lane
    Department of Medicine, University of California - Davis, Sacramento, California.
  • Li-Yung Lui
    Research Institute, California Pacific Medical Center, San Francisco, California.
  • Lynn M Marshall
    Epidemiology Programs, Oregon Health and Science University-Portland State University School of Public Health, Portland, Oregon.
  • Sandra K Johnston
    Department of Radiology, University of Washington, Seattle, Washington.
  • Howard Dabbous
    Department of Radiology and Imaging Sciences, Emory University, Atlanta, Georgia (H.D.).
  • Michael O'Reilly
    Department of Radiology, University of Limerick Hospital Group, Limerick, Ireland (M.O.).
  • Ken F Linnau
    Department of Radiology, University of Washington, Seattle, Washington (S.K.J., K.F.L., D.H., N.M.C).
  • Jessica Perry
    Department of Biostatistics, University of Washington, Seattle, Washington, USA.
  • Brian C Chang
    Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington (Q.D., G.L., B.C.C.).
  • Jonathan Renslo
    Keck School of Medicine, University of Southern California, Los Angeles, California (J.R.).
  • David Haynor
    Department of Radiology, University of Washington, Seattle, Washington.
  • Jeffrey G Jarvik
    Comparative Effectiveness, Cost and Outcomes Research Center, University of Washington, Seattle, WA, USA. jarvikj@uw.edu.
  • Nathan M Cross
    Department of Radiology, University of Washington, 1959 NE Pacific Street Box 357115, Seattle, Washington 98195-7115. Electronic address: nmcross@uw.edu.

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