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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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7066833/
https://www.ncbi.nlm.nih.gov/pubmed/32164627
http://dx.doi.org/10.1186/s12891-020-3164-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7066833/
https://www.ncbi.nlm.nih.gov/pubmed/32164627
http://dx.doi.org/10.1186/s12891-020-3164-1

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