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Could automated machine-learned MRI grading aid epidemiological studies of lumbar spinal stenosis? Validation within the Wakayama spine study

BACKGROUND: MRI scanning has revolutionized the clinical diagnosis of lumbar spinal stenosis (LSS). However, there is currently no consensus as to how best to classify MRI findings which has hampered the development of robust longitudinal epidemiological studies of the condition. We developed and te...

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Bibliografske podrobnosti
izdano v:BMC Musculoskelet Disord
Main Authors: Ishimoto, Yuyu, Jamaludin, Amir, Cooper, Cyrus, Walker-Bone, Karen, Yamada, Hiroshi, Hashizume, Hiroshi, Oka, Hiroyuki, Tanaka, Sakae, Yoshimura, Noriko, Yoshida, Munehito, Urban, Jill, Kadir, Timor, Fairbank, Jeremy
Format: Artigo
Jezik:Inglês
Izdano: BioMed Central 2020
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC7066833/
https://ncbi.nlm.nih.gov/pubmed/32164627
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12891-020-3164-1
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