Automated magnetic resonance imaging ‐based grading of the l…
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- DOI 10.1002/jsp2.1353
- PMID https://pubmed.ncbi.nlm.nih.gov/39011368
- PMCID https://www.ncbi.nlm.nih.gov/pmc/articles/11249006
- OpenAlex ID W4400649944
- Type Article
- Language EN
- Published 15 Jul 2024
- Volume 7 (3)
- Pages e1353
- Source JOR Spine
- Publisher Wiley
- FWCI 1.31
- Countries 1
- Institutions 2
- Added 16 Jul 2024
- Updated 30 Oct 2026
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Automated magnetic resonance imaging ‐based grading of the lumbar intervertebral disc and facet joints
Article 2024 EN Gold
Background: Degeneration of both intervertebral discs (IVDs) and facet joints in the lumbar spine has been associated with low back pain, but whether and how IVD/joint degeneration contributes to pain remains an open question. Joint degeneration can be identified by pairing T1 and T2 magnetic resonance imaging (MRI) with analysis techniques such as Pfirrmann grades (IVD degeneration) and Fujiwara…
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1.31
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8 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Maryam Nikpasand | University of Minnesota (US) | — |
| 2 | Jill M. Middendorf | Johns Hopkins University (US) | |
| 3 | Vincent A. Ella | University of Minnesota (US) | — |
| 4 | Kristen E. Jones | University of Minnesota (US) | |
| 5 | Bryan M. Ladd | University of Minnesota (US) | |
| 6 | Takashi Takahashi | University of Minnesota (US) | |
| 7 | Victor H. Barocas | University of Minnesota (US) | |
| 8 | Arin M. Ellingson Corresponding | University of Minnesota (US) |
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