Differentiation of low and high grade renal cell carcinoma on routine MRI with an externally validated automatic machine learning algorithm

Pre-treatment determination of renal cell carcinoma aggressiveness may help guide clinical decision-making. We aimed to differentiate low-grade (Fuhrman I–II) from high-grade (Fuhrman III–IV) renal cell carcinoma using radiomics features extracted from routine MRI. 482 pathologically confirmed renal...

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Detalles Bibliográficos
Autores principales: Purkayastha, Subhanik, Zhao, Yijun, Wu, Jing, Hu, Rong, McGirr, Aidan, Singh, Sukhdeep, Chang, Ken, Huang, Raymond Y., Zhang, Paul J., Silva, Alvin, Soulen, Michael C., Stavropoulos, S. William, Zhang, Zishu, Bai, Harrison X.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7658976/
https://www.ncbi.nlm.nih.gov/pubmed/33177576
http://dx.doi.org/10.1038/s41598-020-76132-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7658976/
https://www.ncbi.nlm.nih.gov/pubmed/33177576
http://dx.doi.org/10.1038/s41598-020-76132-z

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