Use of machine learning to select texture features in investigating the effects of axial loading on T2-maps from magnetic resonance imaging of the lumbar discs-Reference-Cited by-同舟云学术

Use of machine learning to select texture features in investigating the effects of axial loading on T2-maps from magnetic resonance imaging of the lumbar discs

Published:2021-10-30 Issue: Volume: Page:
ISSN:0940-6719
Container-title:European Spine Journal
language:en
Short-container-title:Eur Spine J

Author:

Abdollah Vahid,Parent Eric C.,Dolatabadi Samin,Marr Erica,Wachowicz Keith,Battié Michele

Funder

Canadian Physiotherapy Association

University of Alberta's Faculty of Rehabilitation Medicine

Alberta Spine Foundation

Publisher

Springer Science and Business Media LLC

Subject

Orthopedics and Sports Medicine,Surgery

Link

https://link.springer.com/content/pdf/10.1007/s00586-021-07036-3.pdf

Reference62 articles.

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2. Hebelka H, Torén L, Lagerstrand K, Brisby H (2018) Axial loading during MRI reveals deviant characteristics within posterior IVD regions between low back pain patients and controls. Eur Spine J 27:2840–2846. https://doi.org/10.1007/s00586-018-5774-y

3. Wang Y-C, Jeng C-M, Wu C-Y et al (2008) Dynamic effects of axial loading on the lumbar spine during magnetic resonance imaging in patients with suspected spinal stenosis. J Formosan Med Associ = Taiwan yi zhi. https://doi.org/10.1016/S0929-6646(08)60095-9

4. Nilsson M, Lagerstrand K, Kasperska I et al (2016) Axial loading during MRI influences T2-mapping values of lumbar discs: a feasibility study on patients with low back pain. Eur Spine J 25:2856–2863. https://doi.org/10.1007/s00586-016-4670-6

5. Abdollah V, Parent EC, Battié MC (2018) MRI evaluation of the effects of extension exercises on the disc fluid content and location of the centroid of the fluid distribution. Musculoskel Sci Pract 33:67–70. https://doi.org/10.1016/j.msksp.2017.11.008