Evidence map›Paper›PMID 40970793›Full record

ArticleRadiology. Imaging cancer2025

Automatic Segmentation of Primary Central Nervous System Lymphoma at Clinical Routine Postcontrast T1-weighted MRI.

Guanghui Fu, Lucia Nichelli, Darío Herrán de la Gala, Sophie Loizillon, Camile Bousfiha, Romain Valabregue, Agusti Alentorn, Khê Hoang-Xuan, Bertrand Mathon, Carole Soussain and 12 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Radiology. Imaging cancer, 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
0cells of the map it votes in
0citing 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

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

22 authors.

Guanghui FuSorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, 47 Boulevard de l'Hôpital, 75013 Paris, France.ORCID 0000-0002-6391-5983
Lucia NichelliSorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, 47 Boulevard de l'Hôpital, 75013 Paris, France.ORCID 0009-0006-0934-5365
Darío Herrán de la GalaDepartment of Neuroradiology, DMU DIAMENT, AP-HP, Pitié Salpêtrière, Paris, France.ORCID 0000-0002-9106-2914
Sophie LoizillonSorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, 47 Boulevard de l'Hôpital, 75013 Paris, France.
Camile BousfihaSorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, 47 Boulevard de l'Hôpital, 75013 Paris, France.
Romain ValabregueICM, Centre de NeuroImagerie de Recherche-CENIR, Paris, France.
Agusti AlentornICM, Centre de NeuroImagerie de Recherche-CENIR, Paris, France.
Khê Hoang-XuanICM, Centre de NeuroImagerie de Recherche-CENIR, Paris, France.
Bertrand MathonICM, Centre de NeuroImagerie de Recherche-CENIR, Paris, France.ORCID 0000-0002-9182-5846
Carole SoussainDepartment of Clinical Hematology, Institut Curie, Saint Cloud, Paris, France.
Jean Pierre MarolleauDepartment of Hematology, CHU Amiens-Picardie, Amiens, France.
Jérôme PaillassaDepartment of Hematology, CHU d'Angers, Angers, France.
Luc TaillandierDepartment of Neuro-Oncology, Université de Lorraine, CHRU Nancy, Nancy, France.ORCID 0000-0002-9422-793X
Philippe AgapéDepartment of Hematology, Centre Hospitalier de Laval, Laval, France.
Anna SchmittDepartment of Hematology, Institut Bergonié, Bordeaux, France.
Olivier ChinotDepartment of Neuro-Oncology, AP-HM, University Hospital Timone, Marseille, France.
Guido AhleDepartment of Neurology, Hôpital Pasteur - Hôpitaux Civils de Colmar, Colmar, France.
Didier DormontSorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, 47 Boulevard de l'Hôpital, 75013 Paris, France.ORCID 0000-0002-6080-1286
Caroline HouillierICM, Centre de NeuroImagerie de Recherche-CENIR, Paris, France.
Stéphane LehéricyDepartment of Neuroradiology, DMU DIAMENT, AP-HP, Pitié Salpêtrière, Paris, France.
Olivier ColliotSorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, 47 Boulevard de l'Hôpital, 75013 Paris, France.
French Network for Oculocerebral Lymphoma (LOC Network)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose To develop and validate a deep learning model for automatic segmentation of primary central nervous system lymphoma (PCNSL) at postcontrast T1-weighted MRI. Materials and Methods Data were retrospectively collected from patients with pathologically proven immunocompetent PCNSL between September 2010 and February 2022. Postcontrast T1-weighted MRI scans were used to train and validate a deep learning model based on the nnU-Net framework. Manual segmentation by neuroradiologists served as the reference standard. The model was trained using an internal dataset from a single center and tested on both internal and external test sets from seven additional centers. Performance was assessed using Dice score, mean average surface distance, and F1 score. Statistical comparisons were performed using Mann-Whitney

Indexed as

Central Nervous System NeoplasmsDeep LearningImage Interpretation, Computer-AssistedLymphomaMagnetic Resonance ImagingAgedAged, 80 and overContrast MediaFemaleHumansMaleMiddle AgedRetrospective StudiesContrast MediaArtificial IntelligenceAutomatic SegmentationBrain LymphomaBrain TumorDeep Learning

Identifiers

PMID40970793
PMCPMC12492439

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.