External validation of the deep learning system “SpineNet” for grading radiological features of degeneration on MRIs of the lumbar spine-Reference-Cited by-同舟云学术

External validation of the deep learning system “SpineNet” for grading radiological features of degeneration on MRIs of the lumbar spine

Published:2022-07-14 Issue:8 Volume:31 Page:2137-2148
ISSN:0940-6719
Container-title:European Spine Journal
language:en
Short-container-title:Eur Spine J

Author:

Grob Alexandra^ORCID,Loibl Markus^ORCID,Jamaludin Amir,Winklhofer Sebastian,Fairbank Jeremy C. T.,Fekete Tamás^ORCID,Porchet François,Mannion Anne F.^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Orthopedics and Sports Medicine,Surgery

Link

https://link.springer.com/content/pdf/10.1007/s00586-022-07311-x.pdf

Reference53 articles.

1. Palmer KT, Walsh K, Bendall H, Cooper C, Coggon D (2000) Back pain in Britain: comparison of two prevalence surveys at an interval of 10 years. BMJ 320:1577–1578. https://doi.org/10.1136/bmj.320.7249.1577

2. de Schepper EI, Damen J, van Meurs JB, Ginai AZ, Popham M, Hofman A, Koes BW, Bierma-Zeinstra SM (2010) The association between lumbar disc degeneration and low back pain: the influence of age, gender, and individual radiographic features. Spine (Phila Pa 1976) 35:531–536. https://doi.org/10.1097/BRS.0b013e3181aa5b33

3. Brinjikji W, Luetmer PH, Comstock B, Bresnahan BW, Chen LE, Deyo RA, Halabi S, Turner JA, Avins AL, James K, Wald JT, Kallmes DF, Jarvik JG (2015) Systematic literature review of imaging features of spinal degeneration in asymptomatic populations. AJNR Am J Neuroradiol 36:811–816. https://doi.org/10.3174/ajnr.A4173

4. Stadnik TW, Lee RR, Coen HL, Neirynck EC, Buisseret TS, Osteaux MJ (1998) Annular tears and disk herniation: prevalence and contrast enhancement on MR images in the absence of low back pain or sciatica. Radiology 206:49–55

5. Weishaupt D, Zanetti M, Hodler J, Boos N (1998) MR imaging of the lumbar spine: prevalence of intervertebral disk extrusion and sequestration, nerve root compression, end plate abnormalities, and osteoarthritis of the facet joints in asymptomatic volunteers. Radiology 209:661–666. https://doi.org/10.1148/radiology.209.3.9844656

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