Evidence map›Paper›PMID 36522344›Full record

ArticleScientific data2022

The LUMIERE dataset: Longitudinal Glioblastoma MRI with expert RANO evaluation.

Yannick Suter, Urspeter Knecht, Waldo Valenzuela, Michelle Notter, Ekkehard Hewer, Philippe Schucht, Roland Wiest, Mauricio Reyes

Abstract readDataset
In one paragraph

Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  14. OMT and tensor SVD-based deep learning model for segmentation and predicting genetic markers of glioma: A multicenter study.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  15. Biomedizinische Technik. Biomedical engineering · 2025
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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

8 authors.

Yannick Suter *ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland. yannick.suter@unibe.ch.ORCID 0000-0003-1822-948X
Urspeter Knecht *Radiology Department, Spital Emmental, Burgdorf, Switzerland.
Waldo ValenzuelaSupport Center for Advanced Neuroimaging, Inselspital, Bern, Switzerland.
Michelle NotterCantonal Hospital of Graubünden, Chur, 7000, Switzerland.
Ekkehard HewerInstitute of Pathology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Philippe SchuchtDepartment of Neurosurgery, Inselspital, Bern, Switzerland.
Roland WiestSupport Center for Advanced Neuroimaging, Inselspital, Bern, Switzerland.ORCID 0000-0001-7030-2045
Mauricio ReyesARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland. mauricio.reyes@med.unibe.ch.ORCID 0000-0002-2434-9990

Funding

Krebsliga Schweiz (Ligue Suisse Contre le Cancer) KFS-3979-08-2016
6 · The paper itself

Abstract

Publicly available Glioblastoma (GBM) datasets predominantly include pre-operative Magnetic Resonance Imaging (MRI) or contain few follow-up images for each patient. Access to fully longitudinal datasets is critical to advance the refinement of treatment response assessment. We release a single-center longitudinal GBM MRI dataset with expert ratings of selected follow-up studies according to the response assessment in neuro-oncology criteria (RANO). The expert rating includes details about the rationale of the ratings. For a subset of patients, we provide pathology information regarding methylation of the O

Indexed as

Brain NeoplasmsGlioblastomaHumansMagnetic Resonance ImagingPromoter Regions, GeneticRetrospective Studies

Identifiers

PMID36522344
PMCPMC9755255

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.