ArticleNature communications2025
Multi-institutional atlas of brain metastases informs spatial modeling for precision imaging and personalized therapy.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.
What it found
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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.
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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.
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Who cites it
8 citing papers in PubMed.
- Spatial distribution and prognostic significance of hemorrhagic imaging features in brain metastases from metastatic renal cell carcinoma.Journal of neuro-oncology · 2026Article
- An MRI Atlas of Regional Brain Vulnerability to Metastatic Disease.medRxiv : the preprint server for health sciences · 2026Article
- Multiscale network perspectives on glioma: from tumour biology to symptoms, survival and treatment.Nature reviews. Neurology · 2026Review
- MRI-based morphological and spatial characteristics of leptomeningeal metastasis: prognostic value in non-small cell lung cancer.Frontiers in oncology · 2026Article
- Mechanical observables of cancer invasion: actin, adhesion, and metastatic plasticity.Frontiers in cell and developmental biology · 2026Review
- Progression and Metastasis of Lung Cancer: Clinical Features, Molecular Mechanisms, and Clinical Managements.MedComm · 2025Review
- On the translational potential of atlases in precision oncology.Translational cancer research · 2025Review
- A large scale multi-dataset investigation of brain metastases distribution based on primary cancer type.BMC cancer · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
46 authors.
Funding
Abstract
Brain metastases are a frequent and debilitating manifestation of advanced cancer. Here, we collect and analyze neuroimaging of 3,065 cancer patients with 13,067 brain metastases, representing an extensive collection for research. We find that metastases predominantly localize to high perfusion areas near the grey-white matter junction, but also identify notable differences depending on the primary cancer histology as well as brain regions which do not conform to this relationship. Lung and breast cancers, in contrast to melanoma, frequently metastasize to the cerebellum, hinting at biological pathways of spread. Additionally, the deep brain structures are relatively spared from metastasis, regardless of primary cancer type. Leveraging this data, we propose a probabilistic brain metastasis risk model to enhance the therapeutic ratio of whole-brain radiotherapy by targeting high risk areas while preserving cortical and subcortical brain regions of functional significance and low metastasis risk, potentially reducing the cognitive side effects of therapy.
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