MRI Findings of Arachnoiditis, Revisited. Is Classification Possible?

Maria El Homsi, Karem Gharzeddine, Jordan Cuevas, Julio Arevalo-Perez, Karim Rebeiz, Nabil J. Khoury, Hicham Moukaddam

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Background: Prior imaging studies characterizing lumbar arachnoiditis have been based on small sample numbers and have reported inconsistent results. Purpose: To review the different imaging patterns of lumbosacral arachnoiditis, their significance, and clinical implications. Study type: Retrospective. Population: A total of 96 patients (43 women; average age 61.3 years) with imaging findings of arachnoiditis (postsurgical: N = 49; degenerative: N = 29; vertebral fracture: N = 6; epidural and subdural hemorrhage: N = 3, infectious: N= 1; other: N = 8) from January 2009 to April 2018. Field strength/Sequence: Sagittal and axial T2-weighted Turbo Spin Echo at 1.5 T and 3 T. Assessment: Chart review was performed to assess the cause of arachnoiditis, and imaging was reviewed by two musculoskeletal and three neurology radiologists, blinded to the clinical data and to each other's imaging interpretation. Previous classification included a three-group system based on the appearance of the nerve roots on T2-weighted images. A fourth group was added in our review as “nonspecified” and was proposed for indeterminate imaging findings that did not fall into the classical groups. The presence/absence of synechiae/fibrous bands that distort the nerve roots and of spinal canal stenosis was also assessed. Statistical tests: The kappa score was used to assess agreement between readers for both classification type and presence/absence of synechiae. Results: Postsurgical (51%) and degenerative changes (30%) were the most common etiologies. About 7%–55% of arachnoiditis were classified as group 4. There was very poor classification agreement between readers (kappa score 0.051). There was also poor interreader agreement for determining the presence of synechiae (kappa 0.18) with, however, strong interreader agreement for the presence of synechia obtained between the most experienced readers (kappa 0.89). Data Conclusion: This study demonstrated the lack of consensus and clarity in the classification system of lumbar arachnoiditis. The presence of synechia has high interreader agreement only among most experienced readers and promises to be a useful tool in assessing arachnoiditis. Evidence Level: 3. Technical Efficacy: Stage 2.

Original languageEnglish
Pages (from-to)904-909
Number of pages6
JournalJournal of Magnetic Resonance Imaging
Volume54
Issue number3
DOIs
StatePublished - Sep 2021
Externally publishedYes

Keywords

  • MRI
  • arachnoiditis
  • classification
  • lumbar

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