{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T12:02:02Z","timestamp":1785240122769,"version":"3.55.0"},"reference-count":32,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T00:00:00Z","timestamp":1783987200000},"content-version":"vor","delay-in-days":13,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Euro J of Neurology"],"published-print":{"date-parts":[[2026,7]]},"abstract":"ABSTRACT<\/jats:title>\n \n Introduction<\/jats:title>\n \n [\n 18<\/jats:sup>\n F]FDG PET\/CT scan is sometimes performed as part of the diagnostic evaluation of non\u2010compressive myelopathies, but the spinal cord lesion metabolism is not systematically evaluated. We aimed to investigate the diagnostic value of spinal cord lesion metabolism on [\n 18<\/jats:sup>\n F]FDG PET\/CT for differentiating inflammatory myelitis from neurosarcoidosis and tumoral lesions.\n <\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n \n We conducted a retrospective cohort study of patients presenting with spinal cord lesions who underwent [\n 18<\/jats:sup>\n 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\n max<\/jats:sub>\n , lesion\u2010to\u2010liver ratio, and level\u2010standardized\n Z<\/jats:italic>\n \u2010score to account for physiological uptake variability (quantitative analysis).\n <\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n 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\n max<\/jats:sub>\n : AUC 0.89 and 0.84, respectively). The performance of SUV\n max<\/jats:sub>\n for distinguishing inflammatory myelitis from neurosarcoidosis was low (AUC 0.55), but improved with the lesion\u2010to\u2010liver ratio (AUC 0.64) and level\u2010standardized\n Z<\/jats:italic>\n \u2010score (AUC 0.65).\n <\/jats:p>\n <\/jats:sec>\n \n Conclusion<\/jats:title>\n \n Spinal cord hypermetabolism on [\n 18<\/jats:sup>\n F]FDG PET\/CT demonstrated good performance for distinguishing tumoral lesions from inflammatory or neurosarcoidosis, but lower performance for differentiating inflammatory myelitis from neurosarcoidosis.\n <\/jats:p>\n <\/jats:sec>","DOI":"10.1111\/ene.70667","type":"journal-article","created":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T06:55:29Z","timestamp":1784098529000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Diagnostic Value of Spinal Cord Lesion Metabolism on [\n \n 18<\/sup>\n F\n <\/scp>\n ]\n FDG PET<\/scp>\n \/\n CT<\/scp>\n for the Classification of Myelopathy"],"prefix":"10.1111","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9118-0849","authenticated-orcid":false,"given":"Antoine","family":"Gavoille","sequence":"first","affiliation":[{"name":"Service de Neurologie, Scl\u00e9rose en Plaques, Pathologies de la My\u00e9line et Neuro\u2010inflammation, Centre de R\u00e9f\u00e9rence des Maladies Inflammatoires Rares du Cerveau et de la Moelle (MIRCEM) H\u00f4pital Neurologique Pierre Wertheimer, Hospices Civils de Lyon Bron France"},{"name":"CNRS, Laboratoire de Biom\u00e9trie et Biologie \u00c9volutive UMR 5558 Universit\u00e9 Lyon 1 Villeurbanne France"},{"name":"Service de Biostatistique\u2010Bioinformatique Hospices Civils de Lyon Lyon France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5877-2159","authenticated-orcid":false,"given":"Anthime","family":"Flaus","sequence":"additional","affiliation":[{"name":"D\u00e9partement de m\u00e9decine nucl\u00e9aire, Groupement Hospitalier Est Hospices Civils de Lyon Bron France"},{"name":"Universit\u00e9 Claude Bernard Lyon 1 Lyon France"},{"name":"Centre de Recherche en Neurosciences de Lyon INSERM 1028 et CNRS UMR5292 Lyon France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthieu","family":"Dietz","sequence":"additional","affiliation":[{"name":"Imagerie Nucl\u00e9aire de l'Ouest Lyonnais et de l'ain, Clinique de la Sauvegarde Ramsay Sant\u00e9 Lyon France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julie","family":"Pique","sequence":"additional","affiliation":[{"name":"Service de Neurologie, Scl\u00e9rose en Plaques, Pathologies de la My\u00e9line et Neuro\u2010inflammation, Centre de R\u00e9f\u00e9rence des Maladies Inflammatoires Rares du Cerveau et de la Moelle (MIRCEM) H\u00f4pital Neurologique Pierre Wertheimer, Hospices Civils de Lyon Bron 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