Deep learning-based detection of lumbar spinal canal stenosis using convolutional neural networks.

Journal: The spine journal : official journal of the North American Spine Society
Published Date: Jun 22, 2024

Abstract

BACKGROUND CONTEXT: Lumbar spinal canal stenosis (LSCS) is the most common spinal degenerative disorder in elderly people and usually first seen by primary care physicians or orthopedic surgeons who are not spine surgery specialists. Magnetic resonance imaging (MRI) is useful in the diagnosis of LSCS, but the equipment is often not available or difficult to read. LSCS patients with progressive neurologic deficits have difficulty with recovery if surgical treatment is delayed. So, early diagnosis and determination of appropriate surgical indications are crucial in the treatment of LSCS. Convolutional neural networks (CNNs), a type of deep learning, offers significant advantages for image recognition and classification, and work well with radiographs, which can be easily taken at any facility.

Authors

  • Hisataka Suzuki
    Department of Orthopaedic Surgery, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, N15W7, Sapporo, Hokkaido 060-8638, Japan; Department of Orthopaedic Surgery, Eniwa Hospital, 2-1-1 Kogane Chuo, Eniwa, Hokkaido 061-1449, Japan.
  • Terufumi Kokabu
    Department of Orthopedic Surgery, Hokkaido University Hospital, Nishi 5 Chome Kita 14 Jo, Kita Ward, Sapporo, Hokkaido 060-8648, Japan; Department of Orthopedic Surgery, Eniwa Hospital, Koganechuo 2-1-1, Eniwa, Hokkaido 061-1449, Japan.
  • Katsuhisa Yamada
    Department of Orthopaedic Surgery, Hokkaido University Hospital, North-14, West-5, Kita-ku, Sapporo, Hokkaido, 060-8648, Japan. yka2q@yahoo.co.jp.
  • Yoko Ishikawa
    Department of Orthopaedic Surgery, Eniwa Hospital, 2-1-1 Kogane Chuo, Eniwa, Hokkaido 061-1449, Japan.
  • Akito Yabu
    Department of Orthopaedic Surgery, Osaka City University Graduate School of Medicine, 1-4-3 Asahi-machi, Abeno-ku, Osaka 545-8585, Japan.
  • Yasushi Yanagihashi
    Department of Orthopaedic Surgery, Eniwa Hospital, 2-1-1 Kogane Chuo, Eniwa, Hokkaido 061-1449, Japan.
  • Takahiko Hyakumachi
    Department of Orthopaedic Surgery, Eniwa Hospital, 2-1-1 Kogane Chuo, Eniwa, Hokkaido 061-1449, Japan.
  • Hiroyuki Tachi
    Department of Orthopedic Surgery, Hokkaido University Hospital, Nishi 5 Chome Kita 14 Jo, Kita Ward, Sapporo, Hokkaido 060-8648, Japan; Department of Orthopedic Surgery, Eniwa Hospital, Koganechuo 2-1-1, Eniwa, Hokkaido 061-1449, Japan.
  • Tomohiro Shimizu
    Department of Orthopaedic Surgery, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, N15W7, Sapporo, Hokkaido 060-8638, Japan.
  • Tsutomu Endo
    Department of Orthopaedic Surgery, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, N15W7, Sapporo, Hokkaido 060-8638, Japan.
  • Takashi Ohnishi
    Center for Frontier Medical Engineering, Chiba University, Inage-ku, Japan; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York. Electronic address: ohnishit@mskcc.org.
  • Daisuke Ukeba
    Department of Orthopaedic Surgery, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, N15W7, Sapporo, Hokkaido 060-8638, Japan.
  • Ken Nagahama
    Department of Orthopaedic surgery, Wajokai Sapporo Hospital, Sapporo, Japan.
  • Masahiko Takahata
    Department of Orthopaedic surgery, Hokkaido University Hospital, Sapporo, Japan.
  • Hideki Sudo
    Department of Orthopedic Surgery, Hokkaido University Hospital, Nishi 5 Chome Kita 14 Jo, Kita Ward, Sapporo, Hokkaido 060-8648, Japan; Department of Advanced Medicine for Spine and Spinal Cord Disorders, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, N15W7, Sapporo, Hokkaido 060-8638, Japan. Electronic address: hidekisudo@yahoo.co.jp.
  • Norimasa Iwasaki
    Department of Orthopedic Surgery, Hokkaido University Hospital, Nishi 5 Chome Kita 14 Jo, Kita Ward, Sapporo, Hokkaido 060-8648, Japan.

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