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MRI Brain

WAW-Glioma

The WAW-Glioma dataset: Multiparametric MRI, Manual Segmentations, Radiomics and Molecular Profiles of Diffuse Gliomas

Brain MRI before and after surgery of adults with diffuse gliomas, with refined tumor segmentations, molecular markers, radiomics features, progression and survival, for radiogenomics, segmentation benchmarking and outcome prediction. 192 patients with 317 MRI exams.

Overview

WAW-Glioma is a single-cohort collection of brain MRI from 192 adults with diffuse gliomas of WHO CNS5 grades 2 to 4, released on Zenodo by a team at the Medical University of Warsaw and Warsaw University of Technology. Each patient comes with clinical variables, molecular markers, tumor segmentations and radiomics features. The authors describe it as a Central European cohort meant to widen the geographic range of public glioma data, for radiogenomics, segmentation benchmarking and outcome prediction.

Composition

The record holds 156 preoperative and 161 postoperative MRI exams. Some patients have several postoperative exams, numbered in the file names. The clinical table gives age at diagnosis, sex, resection type, hemisphere and lobe, overall survival, progression and time to progression, and an integrated WHO CNS5 diagnosis with grade. Molecular fields cover IDH1/2, ATRX, TP53, TERT promoter, 1p/19q codeletion, CDKN2A/B, EGFR, chromosome 7 gain and chromosome 10 loss, plus MGMT and GFAP. About half of the patients have a glioblastoma diagnosis; the rest are mostly IDH-mutant astrocytomas and oligodendrogliomas, with a few rarer types.

Acquisition

Sequences, where acquired, are T1-weighted before contrast, early and delayed post-contrast T1, T2-weighted, FLAIR, diffusion-weighted imaging with b-values up to 1500 s/mm², ADC maps and susceptibility-weighted imaging. Raw archives hold the skull-stripped NIfTI files without further processing. Separate archives hold the four core sequences co-registered and bias-field corrected. Per-file metadata list GE, Siemens and Philips scanners at 1.5 T and 3 T.

Annotations

Masks on the co-registered images mark necrotic core, FLAIR abnormality, enhancing tumor and resection bed. They were first produced with the FeTS and FL-PoST workflow and then corrected by radiologists experienced in neuro-oncology. Inter-observer Dice and HD95 results, scanner-association analyses and the PyRadiomics code are included.

Known limitations

Molecular testing is incomplete for some markers and the reasons are not recorded. The release flags diagnoses that are not or only partly supported by the molecular data. Scanners and protocols vary, and no harmonization was applied to the radiomics tables. One patient in the clinical table has no images in the raw archives. Earlier Zenodo versions had restricted files under a non-commercial license; only version 3 is open under CC BY 4.0.

Cohort

Aggregate numbers from the sources below. Bars are relative to the 192 subjects.

Age

mean 49.9 ± 14.5, median 50, range 19 to 81

0
10
20
30
40
46
10-1920-2930-3940-4950-5960-6970-7980+

column age in 1_0_clinical_molecular_data.csv (CC BY 4.0, Zenodo version 3), one row per patient

Contrast / sequence

Groups can overlap

  • T1-weighted, contrast enhanced 190 99%
  • T1-weighted 188 98%
  • T2-weighted 188 98%
  • FLAIR 188 98%
  • ADC map 183 95%
  • Diffusion-weighted 182 95%
  • Susceptibility-weighted 180 94%

column file_name in 2_3_preop_scans_raw_meta.csv and 2_4_postop_scans_raw_meta.csv (CC BY 4.0, Zenodo version 3), one row per NIfTI file, counted per patient across both archives

Age by sex

Reported cross table. Missing cells were not published (fewer than 10 or not reported).

Female Male
  • 13
    70-79
    n/a
  • 16
    60-69
    18
  • 18
    50-59
    22
  • 16
    40-49
    30
  • 14
    30-39
    21

columns female and age in 1_0_clinical_molecular_data.csv (CC BY 4.0, Zenodo version 3), one row per patient

Contrast combinations

How many subjects have exactly each set of contrasts.

T1wT1w_ceT2wFLAIRswidwiADCSubjects with exactly this set
174
4
4
2
1
1
1
1
1
1
1

column file_name in 2_3_preop_scans_raw_meta.csv and 2_4_postop_scans_raw_meta.csv (CC BY 4.0, Zenodo version 3), one row per NIfTI file, counted per patient across both archives

License and access

Our reading of the license, not legal advice. Before you use the data, read the original license and confirm that your use is allowed. We take no responsibility for how you use a dataset. Full disclaimer

Access
Open download

Download without an account

Version 3 on Zenodo has public files. Versions 1 and 2 (records 15621812 and 17522191) were published with restricted files and a custom non-commercial research-only license.

Access page

Creative Commons Attribution 4.0 International

Use, share and adapt the data for any purpose, including commercial use, as long as you credit the creators.

Zenodo version 3 lists Creative Commons Attribution 4.0 International as the license of the record.

Original license text Version read: 4.0 Checked 2026-10-07

What you can do

  • Yes
  • Yes
  • Yes
  • Yes
  • Yes

What you can share

  • Yes
  • Yes
  • Yes

What you must do

  • Yes
  • Share alike No
  • No
  • No
  • Manuscript review No
  • Release code No
  • Return results No
  • Delete after use No

Limits

  • No
  • Location limits No

Citation

Bartnik K, Węgrzyn P, Maj E, Tsevegmed B, Piwko K, Wojtczak Z, Sterlinski I, Kaczmarek W, Kunert P, Koczyk K, Machnicki M, Stokłosa T, Grajkowska W, Calabrese E, Guilherme de Almeida J, Calado A, Papanikolaou N, Biecek P. Multiparametric MRI, manual segmentations, radiomics and molecular profiles of diffuse gliomas [dataset]. Zenodo (2026). https://doi.org/10.5281/zenodo.22205631

Sources

Every number on this page comes from one of these documents. Each chart names the table or page it is taken from. The raw numbers are in stats.csv.