Evidence map›Paper›PMID 41262726›Full record

ArticleFrontiers in neuroimaging2025

Fully-automated estimation of upper cervical cord cross-sectional area using pontomedullary junction referencing in multiple sclerosis.

Roberto Masciullo, Annine Sutter, Rosaria Sacco, Nicola Pinna, Daniela Distefano, Emanuele Pravatà, Giulia Mallucci, Alessandro Cianfoni, Claudio Gobbi, Chiara Zecca and 1 more

Abstract read
In one paragraph

Article in Frontiers in neuroimaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Roberto MasciulloDepartment of Neuroradiology, Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland.
Annine SutterMultiple Sclerosis Center, Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland.
Rosaria SaccoMultiple Sclerosis Center, Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland.
Nicola PinnaDepartment of Neuroradiology, Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland.
Daniela DistefanoDepartment of Neuroradiology, Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland.
Emanuele PravatàMultiple Sclerosis Center, Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland.
Giulia MallucciMultiple Sclerosis Center, Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland.
Alessandro CianfoniDepartment of Neuroradiology, Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland.
Claudio GobbiMultiple Sclerosis Center, Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland.
Chiara Zecca *Multiple Sclerosis Center, Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland.
Giulio Disanto *Multiple Sclerosis Center, Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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) mm Conclusion: 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.

Indexed as

cross-sectional areadeep-learningmultiple sclerosispontomedullary junctionspinal cord

Identifiers

PMID41262726
PMCPMC12623166

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