ORIGINAL RESEARCH article
Front. Neuroimaging
Sec. Clinical Neuroimaging
Volume 4 - 2025 | doi: 10.3389/fnimg.2025.1681669
This article is part of the Research TopicImaging Biomarkers in Neurodegenerative Diseases: Advances and ChallengesView all articles
FULLY-AUTOMATED ESTIMATION OF UPPER CERVICAL CORD CROSS-SECTIONAL AREA USING PONTOMEDULLARY JUNCTION REFERENCING IN MULTIPLE SCLEROSIS
Provisionally accepted- 1Ente Ospedaliero Cantonale (EOC), Bellinzona, Switzerland
- 2Universita della Svizzera italiana, Lugano, Switzerland
- 3Universita degli Studi Gabriele d'Annunzio Chieti Pescara, Chieti, Italy
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Background: Spinal cord cross-sectional area (CSA) is a biomarker of disability in multiple sclerosis (MS). Vertebral-based CSA suffers from anatomical variability and positional bias. Objectives: To evaluate a fully automated PMJ-referenced approach, as implemented in the open-source Spinal Cord Toolbox, to assess cervical cord CSA at a fixed distance from the pontomedullary junction (PMJ) in MS. Methods: Retrospective study performed at the MS center of Lugano (Switzerland). Inclusion criteria were treatment with natalizumab or ocrelizumab and absence of clinical/radiological disease activity over ≥2 years. CSA at 64 mm caudal to the PMJ (CSA PMJ) and at C2–C3 vertebral level (CSA C2-C3) were calculated using the Spinal Cord Toolbox. Results: Seventy-five MS patients (females=44 [58.7%], age=45.1 [36.7-53.8] years, natalizumab=36 [48%], ocrelizumab=39 [52%]) were included. Median CSA PMJ and CSA C2-C3 were 57.7 (53.1-62.1) and 58.1 (53.2-62.6) mm2, respectively. The two measures were highly correlated (rho=0.95, p<0.001), with some exceptions related to errors in vertebral labelling in CSA C2-C3 assessments. PMJ was correctly identified in all subjects. CSA PMJ measures were negatively associated with disability (β=–0.08, p=0.002), independent of age and sex. Conclusions: Automated measurement of spinal cord CSA at fixed distance from the PMJ is applicable in MS, performs better than vertebral-based CSA, and correlates with neurological disability.
Keywords: Spinal Cord, Cross-sectional area, Deep-learning, pontomedullary junction, Multiple sclerosis
Received: 07 Aug 2025; Accepted: 17 Oct 2025.
Copyright: © 2025 Masciullo, Sutter, Sacco, Pinna, Distefano, Pravatà, Mallucci, Cianfoni, Gobbi, Zecca and Disanto. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Giulio Disanto, giulio.disanto@eoc.ch
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