Natural history of lumbar spinal canal stenosis and its prognostic factors using an automated MRI reader.

2023 Fiscal Year Final Research Report

• Project/Area Number: 20K09439
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 56020:Orthopedics-related
• Research Institution: Wakayama Medical University
• Principal Investigator: Ishimoto Yuyu 和歌山県立医科大学, 医学部, 講師 (20508030)
• Project Period (FY): 2020-04-01 – 2024-03-31
• Keywords: MRI / 腰部脊柱管狭窄症 / 疫学 / AI

Outline of Final Research Achievements

While studying in the UK, the applicant collaborated on a study using SpineNet, an automated MRI reading device organised by Professor Fairbank et al. at Oxford University, and confirmed that the machine could read the applicant's readings and learn from them to produce readings that were almost identical to those of the applicant. The Wakayama Spine Study was established in 2009, and has since conducted four large-scale follow-up surveys this year, generating a vast amount of data. Using these data, the applicant, a spine surgeon, has to date clarified the prevalence of LSS and its relationship with symptoms and other degenerative spinal conditions such as lumbar spondylolisthesis from a surgeon's perspective.

Free Research Field

脊椎

Academic Significance and Societal Importance of the Research Achievements

現在に至るまで腰椎変性疾患に対する自然経過は明らかにされていない。しかしながらこれらの腰椎疾患は高齢化社会において増加の一途を辿り医療経済的にも負担となるためこれらの自然経過を知ることは喫緊の課題である。