Leveraging the power of radiomics to predict heart failure: new frontiers in cardio-oncology
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10554-024-03164-1.pdf
Reference6 articles.
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2. Chang HM, Moudgil R, Scarabelli T, Okwuosa TM, Yeh ETH (2017) Cardiovascular complications of Cancer Therapy: best practices in diagnosis, Prevention, and management: part 1. J Am Coll Cardiol 70:2536–2551. https://doi.org/10.1016/j.jacc.2017.09.1096
3. Xu P, Xue Y, Schoepf UJ, Varga-Szemes A, Griffith J, Yacoub B, Zhou F, Zhou C, Yang Y, Xing W et al (2021) Radiomics. Circ Cardiovasc Imaging 14:e011747. https://doi.org/10.1161/CIRCIMAGING.120.011747
4. Hathaway QA, Yanamala N, Siva NK, Adjeroh DA, Hollander JM, Sengupta PP (2022) Ultrasonic texture features for assessing Cardiac Remodeling and Dysfunction. J Am Coll Cardiol 80:2187–2201. https://doi.org/10.1016/j.jacc.2022.09.036
5. Hathaway QA, Abdeen Y, Conte J, Hass R, Santer MJ, Alyami B, Avalon JC, Patel B (2024) Prediction of heart failure and all-cause mortality using cardiac ultrasomics in patients with breast cancer. Int J Cardiovasc Imaging. https://doi.org/10.1007/s10554-024-03101-2
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