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...

Πλήρης περιγραφή

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Τόπος έκδοσης:BMC Musculoskelet Disord
Κύριοι συγγραφείς: 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
Μορφή: Artigo
Γλώσσα:Inglês
Έκδοση: BioMed Central 2020
Θέματα:
Research Article
Διαθέσιμο Online: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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