Abstract #2064

Radiomics of MRI Based on Zoomit DWI in Predicting Clinically Significant Prostate Cancer: A Towards Step of a Non-invasive Auxiliary Tool

Xiaomeng Qiao¹, Jie Bao¹, Yang Song², Yunzhu Wu², and Ximing Wang¹

¹Department of radiology, First Affiliated Hospital of Soochow University, Suzhou, China, ²MR Scientific Marketing, Siemens Healthineers Ltd, Shanghai, China

Synopsis

Keywords: Prostate, Diffusion/other diffusion imaging techniques, Zoomit DWI; Resolve DWI;Radiomics models based on ZOOMit DWI had better accuracy in the diagnosis of PCa and csPCa compared with those based on RESOLVE DWI technology, and was promising as a powerful non-invasive auxiliary tool to improve the diagnostic performance of PI-RADS of radiologists with different clinical experience.

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