OpenBTAI Brain Metastases
A comprehensive dataset of annotated brain metastasis MR images with clinical and radiomic data
Longitudinal brain MRI of patients with brain metastases, with lesion masks, clinical and treatment history and radiomic features, for detection, response assessment and survival modelling. 637 studies of 75 patients with 260 metastases from Spanish hospitals, under CC0.
Overview
This collection from the Mathematical Oncology Laboratory at the University of Castilla-La Mancha gathers the follow-up brain MRI of patients with brain metastases, collected under the retrospective multicenter OpenBTAI study. Each segmented exam comes with lesion masks, and the release adds spreadsheets of clinical and treatment history, morphological measurements and PyRadiomics features. It targets metastasis detection and segmentation, response assessment, separating tumor progression from radiation necrosis, and survival modeling. All files on Figshare are released under CC0.
Composition
75 adult patients, all deceased, contribute 637 imaging studies covering 260 metastases. The primary cancers were non-small cell lung cancer (38), small cell lung cancer (5), breast cancer (22), melanoma (6), ovarian cancer (2), kidney cancer (1) and uterine cancer (1). Every patient has high-resolution post-contrast T1-weighted imaging, and most studies also hold other series such as T1-weighted, T2-weighted, FLAIR and diffusion images. The clinical spreadsheet lists 47 women and 28 men.
Acquisition
Patients were diagnosed between 2005 and 2021 at Spanish hospitals and scanned on GE, Philips and Siemens scanners at 1, 1.5 or 3 tesla, mostly 1.5 tesla. Post-contrast T1w series had to have pixel spacing and slice thickness of at most 2 mm with no slice gap. Raw series are shared as DICOM in six archives; segmented series and masks are shared as NIfTI in the original image space. Dates are shifted so that the first metastasis scan of each patient falls on 1 January 1900, and images are defaced.
Annotations
593 post-contrast T1w series were segmented with an in-house threshold tool, corrected slice by slice by one researcher, cross-checked by experienced researchers and corrected by a radiologist. Each lesion carries two labels: an enhancing part and a non-enhancing or necrotic part. Radiation necrosis was confirmed for 39 lesions. Lesion centroids in MNI space are provided.
Known limitations
- Only patients who had died were included, which skews the cohort toward advanced disease.
- Counts per sequence other than post-contrast T1w are not reported.
- The GPA prognostic score is available only for some institutions.
- Masks cover 154 distinct metastases, not all 260.
Cohort
Aggregate numbers from the sources below. Bars are relative to the 75 subjects.
Sex
- Female 47 63%
- Male 28 37%
Sex column (1 = female), Sex column (2 = male) in OpenBTAI_METS_ClinicalData.xlsx (CC0), counted per unique patient id
Condition
Groups can overlap
- Brain metastases 75 100%
- Lung cancer 43 57%
- Non-small cell lung cancer 38 51%
- Breast cancer 22 29%
- Melanoma 6 8%
- Kidney cancer 1 1%
Methods: Subject characteristics in Ocaña-Tienda et al. 2023, Scientific Data
Contrast / sequence
ScansGroups can overlap
- T1-weighted, contrast enhanced 593
Methods: Image acquisition in Ocaña-Tienda et al. 2023, Scientific Data
Scanner vendor
Scans- GE HealthCare 225
- Philips 197
- Siemens Healthineers 171
Methods: Image acquisition in Ocaña-Tienda et al. 2023, Scientific Data
Field strength
Scans- 1.5 T 550
- 3 T 35
- 1 T 8
Methods: Image acquisition in Ocaña-Tienda et al. 2023, Scientific Data
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
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Creative Commons Zero 1.0 Universal
Public domain dedication. Do anything with the data, including commercial use, without asking and without having to give credit.
What you can do
- Yes
- Yes
- Yes
- Yes
- Yes
What you can share
- Yes
- Yes
- Yes
What you must do
- No
- Share alike No
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- No
- Manuscript review No
- Release code No
- Return results No
- Delete after use No
Limits
- No
- Location limits No
Citation
Ocaña-Tienda B, Pérez-Beteta J, Villanueva-García JD, et al. A comprehensive dataset of annotated brain metastasis MR images with clinical and radiomic data. Scientific Data 10, 208 (2023). https://doi.org/10.1038/s41597-023-02123-0
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.