Evidence map›Paper›PMID 39199815›Full record

ArticleBioengineering (Basel, Switzerland)2024

Contrast-Enhancing Lesion Segmentation in Multiple Sclerosis: A Deep Learning Approach Validated in a Multicentric Cohort.

Martina Greselin, Po-Jui Lu, Lester Melie-Garcia, Mario Ocampo-Pineda, Riccardo Galbusera, Alessandro Cagol, Matthias Weigel, Nina de Oliveira Siebenborn, Esther Ruberte, Pascal Benkert and 28 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
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

38 authors.

Martina GreselinTranslational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel, University of Basel, 4123 Basel, Switzerland.
Po-Jui LuTranslational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel, University of Basel, 4123 Basel, Switzerland.ORCID 0000-0001-6031-6865
Lester Melie-GarciaTranslational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel, University of Basel, 4123 Basel, Switzerland.
Mario Ocampo-PinedaTranslational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel, University of Basel, 4123 Basel, Switzerland.ORCID 0000-0003-2239-7355
Riccardo GalbuseraTranslational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel, University of Basel, 4123 Basel, Switzerland.ORCID 0000-0002-3092-8737
Alessandro CagolTranslational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel, University of Basel, 4123 Basel, Switzerland.ORCID 0000-0002-7703-0553
Matthias WeigelTranslational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel, University of Basel, 4123 Basel, Switzerland.ORCID 0000-0002-4910-1414
Nina de Oliveira SiebenbornTranslational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel, University of Basel, 4123 Basel, Switzerland.
Esther RuberteTranslational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel, University of Basel, 4123 Basel, Switzerland.ORCID 0000-0002-0195-4602
Pascal BenkertClinical Trial Unit, Department of Clinical Research, University Hospital Basel, University of Basel, 4031 Basel, Switzerland.
Stefanie MüllerDepartment of Neurology, Cantonal Hospital St. Gallen, 9000 St. Gallen, Switzerland.
Sebastian FinkenerDepartment of Neurology, Cantonal Hospital Aarau, 5001 Aarau, Switzerland.ORCID 0000-0001-6449-0756
Jochen VehoffDepartment of Neurology, Cantonal Hospital St. Gallen, 9000 St. Gallen, Switzerland.
Giulio DisantoNeurology Department, Neurocenter of Southern Switzerland, 6900 Lugano, Switzerland.ORCID 0000-0002-8512-6096
Oliver FindlingDepartment of Neurology, Cantonal Hospital Aarau, 5001 Aarau, Switzerland.ORCID 0000-0003-4298-4370
Andrew ChanDepartment of Neurology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland.ORCID 0000-0003-3434-7283
Anke SalmenDepartment of Neurology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland.ORCID 0000-0002-4751-299X
Caroline PotService of Neurology, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV), University of Lausanne, 1005 Lausanne, Switzerland.ORCID 0000-0002-1146-3129
Claire BridelDivision of Neurology, Department of Clinical Neurosciences, Faculty of Medicine, Geneva University Hospitals, 1205 Geneva, Switzerland.ORCID 0000-0001-7267-7676
Chiara ZeccaNeurology Department, Neurocenter of Southern Switzerland, 6900 Lugano, Switzerland.ORCID 0000-0002-9990-3431
Tobias DerfussResearch Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel, 4031 Basel, Switzerland.
Johanna M LiebDivision of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine, University Hospital Basel, University of Basel, 4031 Basel, Switzerland.ORCID 0000-0002-9407-6473
Michael DiepersDepartment of Radiology, Cantonal Hospital Aarau, 5001 Aarau, Switzerland.
Franca WagnerDepartment of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland.
Maria I VargasDepartment of Radiology, Faculty of Medicine, Geneva University Hospital, 1205 Geneva, Switzerland.
Renaud Du PasquierService of Neurology, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV), University of Lausanne, 1005 Lausanne, Switzerland.
Patrice H LaliveDivision of Neurology, Department of Clinical Neurosciences, Faculty of Medicine, Geneva University Hospitals, 1205 Geneva, Switzerland.
Emanuele PravatàFaculty of biomedical Sciences, Università della Svizzera Italiana, 6962 Lugano, Switzerland.ORCID 0000-0002-5225-2993
Johannes WeberDepartment of Radiology, Cantonal Hospital St. Gallen, 9000 St. Gallen, Switzerland.
Claudio GobbiNeurology Department, Neurocenter of Southern Switzerland, 6900 Lugano, Switzerland.
David LeppertResearch Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel, 4031 Basel, Switzerland.ORCID 0000-0001-6172-801X
Olaf Chan-Hi KimDepartment of Radiology, Cantonal Hospital St. Gallen, 9000 St. Gallen, Switzerland.
Philippe C CattinCenter for medical Image Analysis & Navigation, Department of Biomedical Engineering, University of Basel, 4123 Allschwil, Switzerland.ORCID 0000-0001-8785-2713
Robert HoepnerDepartment of Neurology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland.ORCID 0000-0002-0115-7021
Patrick RothDepartment of Neurology, University Hospital of Zurich, University of Zurich, 8091 Zurich, Switzerland.
Ludwig KapposTranslational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel, University of Basel, 4123 Basel, Switzerland.ORCID 0000-0003-4175-5509
Jens KuhleDepartment of Neurology, University Hospital Basel, 4031 Basel, Switzerland.
Cristina GranzieraTranslational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel, University of Basel, 4123 Basel, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The detection of contrast-enhancing lesions (CELs) is fundamental for the diagnosis and monitoring of patients with multiple sclerosis (MS). This task is time-consuming and suffers from high intra- and inter-rater variability in clinical practice. However, only a few studies proposed automatic approaches for CEL detection. This study aimed to develop a deep learning model that automatically detects and segments CELs in clinical Magnetic Resonance Imaging (MRI) scans. A 3D UNet-based network was trained with clinical MRI from the Swiss Multiple Sclerosis Cohort. The dataset comprised 372 scans from 280 MS patients: 162 showed at least one CEL, while 118 showed no CELs. The input dataset consisted of T1-weighted before and after gadolinium injection, and FLuid Attenuated Inversion Recovery images. The sampling strategy was based on a white matter lesion mask to confirm the existence of real contrast-enhancing lesions. To overcome the dataset imbalance, a weighted loss function was implemented. The Dice Score Coefficient and True Positive and False Positive Rates were 0.76, 0.93, and 0.02, respectively. Based on these results, the model developed in this study might well be considered for clinical decision support.

Indexed as

automatic segmentationdeep learninggadolinium contrast-enhancing lesionsmultiple sclerosis

Identifiers

PMID39199815
PMCPMC11351944

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