{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T14:14:28Z","timestamp":1791296068678,"version":"4.1.0"},"reference-count":29,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2014,1,17]],"date-time":"2014-01-17T00:00:00Z","timestamp":1389916800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2015,2]]},"abstract":"<jats:sec><jats:title>Purpose<\/jats:title><jats:p>To validate semiautomated spinal cord segmentation in healthy subjects and patients with neurodegenerative diseases and trauma.<\/jats:p><\/jats:sec><jats:sec><jats:title>Materials and Methods<\/jats:title><jats:p>Forty\u2010nine healthy subjects, as well as 29 patients with amyotrophic lateral sclerosis, 19 with spinal muscular atrophy, and 14 with spinal cord injuries were studied. Cord area was measured from T<jats:sub>2<\/jats:sub>\u2010weighted 3D turbo spin echo images (cord levels from C2 to T9) using the semiautomated segmentation method of Losseff et al (Brain [1996] 119(Pt 3):701\u2013708), compared with manual segmentation. Reproducibility was evaluated using the inter\u2010 and intraobserver coefficient of variation (CoV). Accuracy was assessed using the Dice similarity coefficient (DSC). Robustness to initialization was assessed by simulating modifications to the contours drawn manually prior to segmentation.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Mean interobserver CoV was 4.00% for manual segmentation (1.90% for Losseff's method) in the cervical region and 5.62% (respectively 2.19%) in the thoracic region. Mean intraobserver CoV was 2.34% for manual segmentation (1.08% for Losseff's method) in the cervical region and 2.35% (respectively 1.34%) in the thoracic region. DSC was high (0.96) in both cervical and thoracic regions. DSC remained higher than 0.8 even when modifying initial contours by 50%.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>The semiautomated segmentation method showed high reproducibility and accuracy in measuring spinal cord area. <jats:bold>J. Magn. Reson. Imaging 2015;41:454\u2013459.<\/jats:bold>\u00a9 <jats:bold>2013 Wiley Periodicals, Inc<\/jats:bold>.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jmri.24571","type":"journal-article","created":{"date-parts":[[2014,1,17]],"date-time":"2014-01-17T06:31:51Z","timestamp":1389940311000},"page":"454-459","source":"Crossref","is-referenced-by-count":18,"title":["Validation of a semiautomated spinal cord segmentation method"],"prefix":"10.1002","volume":"41","author":[{"given":"Mohamed\u2010Mounir","family":"El Mendili","sequence":"first","affiliation":[{"name":"Inserm U678 UPMC Univ Paris 6 UMR\u2010S 678 Laboratoire d'imagerie fonctionnelle Paris France"},{"name":"Univ Paris 11 IFR 49 Institut f\u00e9d\u00e9ratif de recherche en imagerie neurofonctionnelle, DSV\/I2BM Neurospin Gif\u2010sur\u2010Yvette France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rapha\u00ebl","family":"Chen","sequence":"additional","affiliation":[{"name":"Inserm U678 UPMC Univ Paris 6 UMR\u2010S 678 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