Ocaña-Tienda, Beatriz; Pérez-Beteta, Julián; Villanueva-García, José D; Romero-Rosales, José A; Molina-García, David; Suter, Yannick; Asenjo, Beatriz; Albillo, David; Ortiz de Mendivil, Ana; Pérez-Romasanta, Luis A; González-Del Portillo, Elisabet; Llorente, Manuel; Carballo, Natalia; Nagib-Raya, Fátima; Vidal-Denis, Maria; Luque, Belén; Reyes, Mauricio; Arana, Estanislao; Pérez-García, Víctor M (2023). A comprehensive dataset of annotated brain metastasis MR images with clinical and radiomic data. Scientific data, 10(1), p. 208. 10.1038/s41597-023-02123-0
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Brain metastasis (BM) is one of the main complications of many cancers, and the most frequent malignancy of the central nervous system. Imaging studies of BMs are routinely used for diagnosis of disease, treatment planning and follow-up. Artificial Intelligence (AI) has great potential to provide automated tools to assist in the management of disease. However, AI methods require large datasets for training and validation, and to date there have been just one publicly available imaging dataset of 156 BMs. This paper publishes 637 high-resolution imaging studies of 75 patients harboring 260 BM lesions, and their respective clinical data. It also includes semi-automatic segmentations of 593 BMs, including pre- and post-treatment T1-weighted cases, and a set of morphological and radiomic features for the cases segmented. This data-sharing initiative is expected to enable research into and performance evaluation of automatic BM detection, lesion segmentation, disease status evaluation and treatment planning methods for BMs, as well as the development and validation of predictive and prognostic tools with clinical applicability.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - Medical Image Analysis 04 Faculty of Medicine > Department of Haematology, Oncology, Infectious Diseases, Laboratory Medicine and Hospital Pharmacy (DOLS) > Clinic of Radiation Oncology |
UniBE Contributor: |
Suter, Yannick Raphael, Reyes, Mauricio |
Subjects: |
500 Science |
ISSN: |
2052-4463 |
Language: |
English |
Submitter: |
Basak Ginsbourger |
Date Deposited: |
17 Nov 2023 08:22 |
Last Modified: |
24 Nov 2023 10:38 |
Publisher DOI: |
10.1038/s41597-023-02123-0 |
PubMed ID: |
37059722 |
BORIS DOI: |
10.48350/189041 |
URI: |
https://boris.unibe.ch/id/eprint/189041 |
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