Abstract #2057

Detection of sparse and dense prostate cancers using bi-parametric MRI combined with radiomics features

Bingni Zhou ^1,2, Zhangzhe Chen^1,2, Rucuan Chen^1,2, Wei Liu^1,2, Hualei Gan^2,3, Yong Zhang⁴, Liangping Zhou^1,2, and Xiaohang Liu^1,2

¹Radiology, Fudan University Shanghai Cancer Center, Shanghai, China, ²Oncology, Shanghai Medical College of Fudan University, Shanghai, China, ³Pathology, Fudan University Shanghai Cancer Center, Shanghai, China, ⁴GE Healthcare, Shanghai, China

Synopsis

Keywords: Prostate, RadiomicsThis is a preliminary study which combined bi-parametric MRI with radiomics feature to detect sparse and dense prostate cancers. Fifty-five patients underwent diffusion weighted and T2 weighted imaging. One hundred and nine peripheral zone (PZ) tumors were reviewed using whole-mount histologic findings. The total number of 381 radiomics features were extracted to construct the models for differentiation. Dense tumors showed ADC values significantly lower than sparse tumors and normal PZ tissues. ADC alone should provide sufficient diagnosis efficiency. However, radiomics features can significantly improve the detection of sparse tumors which showed the similar ADC values as compared to normal tissues.

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