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Abstract #1010

Machine learning analysis of multi-parametric MRI helps to improve the predictive performance in prostate cancer

Rui Wang1 and Xiaoying Wang1

1Peking University First Hospital, Beijing, People's Republic of China

We first investigated the systemic outcome of a crowd underwent PSA-based screening and pre-biopsy mp-MRI, and demonstrated the predictive role of pre-biopsy mp-MRI for PCa by using an advanced machine learning-based approach. Here we answer one important question at the beginning of the paper: (1) mp-MRI coupled with PSA screening program can be used to detect PCa. By the constructed nomogram, the outcome of most patients could be accurately predicted in the first 1-yr follow-up period if they received a pre-biopsy mp-MRI examination, even without invasive TRUS biopsy.

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