Statistical Clustering of Parametric Maps from Dynamic Contrast Enhanced MRI and an Associated Decision Tree Model for Non-Invasive Tumour Grading of T1b Solid Clear Cell Renal Cell Carcinoma

OBJECTIVES: To apply a statistical clustering algorithm to combine information from dynamic contrast enhanced (DCE) magnetic resonance imaging (MRI) into a single tumour map to distinguish high- (HG) from low-grade (LG) T1b clear cell renal cell carcinoma (ccRCC). METHODS: This prospective, IRB-appr...

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Vydáno v:Eur Radiol
Hlavní autoři: Xi, Yin, Yuan, Qing, Zhang, Yue, Madhuranthakam, Ananth J., Fulkerson, Michael, Margulis, Vitaly, Brugarolas, James, Kapur, Payal, Cadeddu, Jeffrey A., Pedrosa, Ivan
Médium: Artigo
Jazyk:Inglês
Vydáno: 2017
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Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC5718968/
https://ncbi.nlm.nih.gov/pubmed/28681074
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00330-017-4925-6
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