Work

A multicentre longitudinal brain metastasis imaging dataset with lesion segmentations and clinical data

Year: 2026
Type: preprint
Abstract: Brain metastases exhibit substantial variability in lesion burden, morphology and treatment response. Longitudinal imaging linked to lesion annotations and clinical histories can support quantitative studies of this heterogeneity. We describe a multicentre dataset from seven Spanish hospitals comprising 443 patients diagnosed between 2007 and 2022, with follow-up imaging for 216 patients. The collection contains 2842 magnetic resonance image, including 1092 three dimensional (3D) contrast-enhanced T1-weighted, 833 T2-weighted and 917 FLAIR (fluid-attenuated inversion recovery) images. Semiautomatic 3D-segmentation with expert review provides annotations for 1291 unique lesions represented by 2303 lesion observations across imaging time points. Separate labels identify contrast-enhancing and non-enhancing or necrotic tumour components, and lesion identifiers are maintained during follow-up. Accompanying records describe primary tumour characteristics, treatments, imaging dates and clinical outcomes, together with acquisition metadata and 107 morphological and radiomic features. The dataset supports research on lesion detection and segmentation, longitudinal response assessment, imaging biomarkers and mathematical models of brain metastasis growth and treatment response.
Language: English
Subfield: Oncology
Field: Medicine
Open Access status: green
OpenAlex ID: W7225627192
Cites: 27
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