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Detection of slowly expanding lesions in people with multiple sclerosis using MRI: A scoping review.

Overview

  1. EMPENN Research Team, IRISA, CNRS-INSERM-INRIA, Rennes University, Rennes, France
  2. Neurology Department, Rennes University Hospital, Rennes, France
Journal: Imaging neuroscience (Cambridge, Mass.), volume 4, article IMAG.a.1251
Dates: received 16 January 2026; accepted 21 April 2026; published online 11 June 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1162/imag.a.1251 · PMID 42292345 · PMCID PMC13261561 · OpenAlex W7160253429
Open access: diamond, a free copy (OpenAlex)
Status: code on request
Categories: structural MRI / diffusion (modality), human (organism), multiple sclerosis (population)
Keywords: multiple sclerosis, chronic active lesions, slowly expanding lesions, chronic lesion expansion, chronic inflammation
Topic: Multiple Sclerosis Research Studies (Pathology and Forensic Medicine, Medicine), according to OpenAlex
Funding: Agence Nationale de la Recherche (ANR-21-RHUS-0014); Région Bretagne (ARED MEDUSEL)
Citations: not cited yet (Europe PMC); 54 references in the paper

Abstract

Slowly expanding lesions (SELs) have recently been described in people with multiple sclerosis (pwMS). This pattern of slow lesion expansion, often too subtle to be identified visually, can be detected on conventional brain MRI scans and represents a candidate imaging biomarker of chronic inflammation. The present study undertakes a scoping review of articles reporting the detection of SELs in pwMS using MRI. Our main objectives were to summarize the different methods used to detect SELs, describe their frequency, examine their relationship with other markers of chronic inflammation, and assess their potential prognostic role. We also discuss the limitations of this biomarker and potential methodological improvements that should be explored before considering its translation into clinical routine. We identified 33 studies that detected SELs using longitudinal MRI acquisitions. Two distinct methods for detecting SELs were identified, each implemented with various parameter settings. SELs were detected in most pwMS (60–99%) across all disease phenotypes. SELs were more frequent than paramagnetic rim lesions (PRLs), and these two markers showed only modest co-localization. Several studies suggest that SELs may be a relevant marker for predicting disease progression and evaluating the effects of treatments on chronic inflammation. While SELs appear to be a promising biomarker in pwMS, current methods require further improvement and standardization, which limits inter-study comparability and hinders translation into clinical practice. Moreover, evidence regarding the sensitivity and specificity of SELs in identifying chronic active lesions in vivo remains limited.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

The paper says that its authors' code is available on request: it was not published with the paper, so there is nothing to verify.

The paper's code and data availability statement is in the Data section.

Tracing map

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Data

No dataset and no data link were found in the paper.

Data and Code Availability

The data concerning the query results for the paper selection are available from the corresponding author, M.G., upon request. No other new data were created or analyzed in this study.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, pages, dates, 3 authors, 5 keywords, 2 funders, 54 references.

Cite

This paper

Gicquel, M., Kerbrat, A., & Combès, B. (2026). Detection of slowly expanding lesions in people with multiple sclerosis using MRI: A scoping review. Imaging neuroscience (Cambridge, Mass.), 4, IMAG.a.1251. https://doi.org/10.1162/imag.a.1251

BibTeX

@article{gicquel2026detection,
author = {Gicquel, Malo and Kerbrat, Anne and Combès, Benoit},
title = {{Detection of slowly expanding lesions in people with multiple sclerosis using MRI: A scoping review}},
journal = {Imaging neuroscience (Cambridge, Mass.)},
year = {2026},
month = jun,
volume = {4},
pages = {IMAG.a.1251},
publisher = {MIT Press},
issn = {2837-6056},
doi = {10.1162/imag.a.1251},
url = {https://doi.org/10.1162/imag.a.1251},
pmid = {42292345},
pmcid = {PMC13261561}
}

RIS

TY - JOUR
AU - Gicquel, Malo
AU - Kerbrat, Anne
AU - Combès, Benoit
TI - Detection of slowly expanding lesions in people with multiple sclerosis using MRI: A scoping review
T2 - Imaging neuroscience (Cambridge, Mass.)
J2 - Imaging Neurosci (Camb)
PY - 2026
DA - 2026/06/11
VL - 4
SP - IMAG.a.1251
SN - 2837-6056
PB - MIT Press
DO - 10.1162/imag.a.1251
UR - https://doi.org/10.1162/imag.a.1251
LA - en
ER -

CSL-JSON

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