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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
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 |
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