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A cardiotoxicity dataset for breast cancer patients

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Pineiro_Lamas_Beatriz_2023_A_cardiotoxicity_dataset_for_breast_cancer_patients.pdf (3.209Mb)
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http://hdl.handle.net/2183/34613
Atribución 4.0 Internacional
A non ser que se indique outra cousa, a licenza do ítem descríbese como Atribución 4.0 Internacional
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  • Investigación (FIC) [1729]
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Título
A cardiotoxicity dataset for breast cancer patients
Autor(es)
Piñeiro Lamas, Beatriz
López-Cheda, Ana
Cao, Ricardo
Ramos-Alonso, Laura
González-Barbeito, Gabriel
Barbeito Caamaño, Cayetana
Bouzas-Mosquera, Alberto
Data
2023
Cita bibliográfica
Piñeiro-Lamas, B., López-Cheda, A., Cao, R. et al. A cardiotoxicity dataset for breast cancer patients. Sci Data 10, 527 (2023). https://doi.org/10.1038/s41597-023-02419-1
Resumo
[Abstract] This dataset is a result of the collaboration between the University of A Coruña and the University Hospital of A Coruña. It contains information about 531 women diagnosed with HER2+ breast cancer, treated with potentially cardiotoxic oncologic therapies. These treatments can cause cardiovascular adverse events, including cardiac systolic dysfunction, the development of which has important clinical and prognostic implications. The availability of good predictors may enable early detection of these cardiac problems. Variables such as age, weight and height are available for each patient, as well as some measures obtained from echocardiography, a technique used prior and during the treatment to check the structure and function of the heart. Among them, there is a functional variable that measures the myocardial velocity during the cardiac cycle. For patients that experienced cancer therapy-related cardiac dysfunction during the treatment period, time until its appearance is known. This dataset aims to enable the scientific community in conducting new research on this cardiovascular side effect.
Palabras chave
Breast cancer
Image processing
 
Versión do editor
https://doi.org/10.1038/s41597-023-02419-1
Dereitos
Atribución 4.0 Internacional
 
This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
 
© The Author(s) 2023
 
ISSN
2052-4463

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