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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
Roberto  MasciulloRoberto Masciullo1Annine  SutterAnnine Sutter2Rosaria  SaccoRosaria Sacco1Nicola  PinnaNicola Pinna1Daniela  DistefanoDaniela Distefano1Emanuele  PravatàEmanuele Pravatà3Giulia  MallucciGiulia Mallucci1Alessandro  CianfoniAlessandro Cianfoni1,2Claudio  GobbiClaudio Gobbi1,2Chiara  ZeccaChiara Zecca1,2Giulio  DisantoGiulio Disanto1,2*
  • 1Ente Ospedaliero Cantonale (EOC), Bellinzona, Switzerland
  • 2Universita della Svizzera italiana, Lugano, Switzerland
  • 3Universita degli Studi Gabriele d'Annunzio Chieti Pescara, Chieti, Italy

The final, formatted version of the article will be published soon.

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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