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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...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Eur Radiol |
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| Κύριοι συγγραφείς: | , , , , , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
2017
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| Θέματα: | |
| Διαθέσιμο Online: | 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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