{
  "abstract": "Introduction [ 18 F]FDG PET/CT scan is sometimes performed as part of the diagnostic evaluation of non‐compressive myelopathies, but the spinal cord lesion metabolism is not systematically evaluated. We aimed to investigate the diagnostic value of spinal cord lesion metabolism on [ 18 F]FDG PET/CT for differentiating inflammatory myelitis from neurosarcoidosis and tumoral lesions. Methods We conducted a retrospective cohort study of patients presenting with spinal cord lesions who underwent [ 18 F]FDG PET/CT. Patients were classified as primary inflammatory myelitis, neurosarcoidosis, tumoral lesions, or other etiologies. PET/CT examinations were reviewed by a nuclear medicine physician, masked to final diagnosis, who assessed the presence of hypermetabolism (qualitative analysis) and measured lesion SUV max , lesion‐to‐liver ratio, and level‐standardized Z ‐score to account for physiological uptake variability (quantitative analysis). Results A total of 106 patients were included: 60 (56.6%) with inflammatory myelitis, 20 (18.9%) with neurosarcoidosis, 10 (9.4%) with tumoral lesions, and 16 (15.1%) with other etiologies. Hypermetabolism was found in 80.0% of tumoral lesions, 50.0% of neurosarcoidosis, and 23.3% of inflammatory myelitis. PET/CT showed good performance in differentiating inflammatory myelitis or neurosarcoidosis from tumoral lesions using qualitative analysis (hypermetabolism: sensitivity 0.77, specificity 0.80, and 0.50, respectively) and quantitative analysis (SUV max : AUC 0.89 and 0.84, respectively). The performance of SUV max for distinguishing inflammatory myelitis from neurosarcoidosis was low (AUC 0.55), but improved with the lesion‐to‐liver ratio (AUC 0.64) and level‐standardized Z ‐score (AUC 0.65). Conclusion Spinal cord hypermetabolism on [ 18 F]FDG PET/CT demonstrated good performance for distinguishing tumoral lesions from inflammatory or neurosarcoidosis, but lower performance for differentiating inflammatory myelitis from neurosarcoidosis.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 9,
  "authors": [
    {
      "name": "Antoine Gavoille"
    },
    {
      "name": "Anthime Flaus"
    },
    {
      "name": "Matthieu Dietz"
    },
    {
      "name": "Julie Pique"
    },
    {
      "name": "Antoine Seyve"
    },
    {
      "name": "Pierre Lardeux"
    },
    {
      "name": "Romain Marignier"
    },
    {
      "name": "Marc Janier"
    },
    {
      "name": "Pascal Sève"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/9e8awksnbzd7m.bib",
  "cited_by": 0,
  "doi": "10.1111/ene.70667",
  "fulltext_url": null,
  "id": "9e8awksnbzd7m",
  "issns": [
    "1351-5101",
    "1468-1331"
  ],
  "landing_url": "https://hal.science/hal-05751753v1",
  "language": "en",
  "licence": "CC-BY-NC-4.0",
  "licence_label": "CC BY-NC 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "hal",
      "0.sdv"
    ],
    [
      "hal",
      "1.sdv.spee"
    ],
    [
      "openalex",
      "2741|Medical Imaging Techniques and Applications"
    ]
  ],
  "openalex": "W7168411860",
  "pdf_url": "https://hal.science/hal-05751753/document",
  "pmcid": null,
  "pmid": "42452957",
  "published": "2026-07-14",
  "publisher": "Wiley",
  "ris": "https://research.draconitic.com/paper/9e8awksnbzd7m.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:36Z",
      "native_id": "hal-05751753",
      "source": "hal",
      "url": "https://hal.science/hal-05751753v1"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "hal:0.sdv",
      "subfield": "general"
    },
    {
      "field": "medicine",
      "origin": "hal:1.sdv.spee",
      "subfield": "epidemiology-public-health"
    }
  ],
  "title": "Diagnostic Value of Spinal Cord Lesion Metabolism on [ 18 F ] FDG PET / CT for the Classification of Myelopathy",
  "title_text": "Diagnostic Value of Spinal Cord Lesion Metabolism on [ 18 F ] FDG PET / CT for the Classification of Myelopathy",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:36Z",
  "url": "https://research.draconitic.com/paper/9e8awksnbzd7m",
  "venue": "European Journal of Neurology",
  "versions": []
}