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- W4385544034 abstract "Circulating tumor cells (CTCs) have been shown to be an indicator for metastatic risk in prostate cancer. We investigated the association between radiomics features extracted from multiparametric MRI of the prostate and CTC counts in prostate cancer patients enrolled in two institutional clinical trials (n=71). We trained a neural network to predict the dichotomized CTCs counts, defined by a 5 CTCs threshold. The top seven features, ranked using maximum-relevance minimum-redundancy, were used as input to a neural network. The training and testing were repeated for 100 runs of 5-Fold cross validation, resulting in AUC 0.834 to predict CTCs ≥ 5." @default.
- W4385544034 created "2023-08-04" @default.
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- W4385544034 date "2023-08-03" @default.
- W4385544034 modified "2023-09-27" @default.
- W4385544034 title "Radiomic Features Measured with Multiparametric Magnetic Resonance Imaging Predict Prostate Cancer Metastatic Risk" @default.
- W4385544034 doi "https://doi.org/10.58530/2022/0041" @default.
- W4385544034 hasPublicationYear "2023" @default.
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