CT-based radiomics stratification of tumor grade and TNM stage of clear cell renal cell carcinoma.
Natalie L DemirjianBino A VargheseSteven Y CenDarryl H HwangManju AronImran SiddiquiBrandon K K FieldsXiaomeng LeiFelix Y YapMarielena RivasSharath S ReddyHaris ZahoorDerek H LiuMihir DesaiSuhn K RhieInderbir S GillVinay A DuddalwarPublished in: European radiology (2021)
• Radiomics signatures derived from clinical multiphase CT images were able to stratify low- from high-grade ccRCC, with an AUC of 0.70 (95% CI 0.62-0.78). • Radiomics signatures derived from multiphase CT images yielded discriminative power to stratify low from high TNM stage in ccRCC, with an AUC of 0.80 (95% CI 0.74-0.86). • Models created using only robust radiomics features achieved comparable AUCs of 0.73 (95% CI 0.65-0.80) and 0.77 (95% CI 0.70-0.84) to the model with all radiomics features in classifying ccRCC grade and stage, respectively.