Abstract #2069

Using Multi-parametric MRI Quantitative Metrics as Image Biomarkers to Predict the Tumor Malignant degree of Prostate Cancer

Shili Liu¹, Zhiqiang Chen², Shaoru Zhang³, Xiaohua Chen³, Zhuo Wang³, Yuhui Xiong⁴, and Aijun Wang⁵

¹Clinical medicine school of Ningxia Medical University, YinChuan, China, ²Department of Radiology ,the First Hospital Affiliated to Hainan Medical College, Haikou, China, ³Clinical medicine school of Ningxia Medical University, Yinchuan, China, ⁴GE Healthcare，MR Reseaich, Beijing, Beijing, China, ⁵Department of Radiology, General Hospital of Ningxia Medical University,, Yinchuan, China

Synopsis

Keywords: Prostate, Data ProcessingThis study aims to investigate whether the quantitative metrics derived from diffusion weighted imaging (DWI) and dynamic contrast-enhanced (DCE) MRI can be used to predict the tumor malignancy of prostate cancer. The results showed that the apparent diffusion coefficient (ADC) value, T_max (s), SI_max%, R_max% were correlated with Ki-67 to a certain extent, DWI and DCE-MRI parameters are expected to be a non-invasive examination method to measure the ability of prostatic malignant tumor cells to expand, and provide an important theoretical basis for evaluating the efficacy of prostate cancer and monitoring the prognosis.

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