Abstract #3669

Texture Analysis of Synthetic MRI Combined with DWI and ADC for Characterization of Lesions of the Prostate

Hao Cheng¹, Pu-Yeh Wu², Ming Liu³, Chunmei Li¹, and Min Chen¹

¹Department of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China, ²GE Healthcare, Beijing, China, ³Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China

Synopsis

We extracted 104 texture features from relaxation maps of synthetic MRI, DWI and ADC in each of 603 prostate lesions from 297 patients, and compared the diagnostic performance of models based on texture features with mean quantitative values in discriminating PCa from benign lesions and in discriminating csPCa from clinically insignificant lesions. Models of synthetic MRI+DWI+ADC has the highest diagnostic performance in discriminating PCa from SH and noncancerous PZ, and in discriminating csPCa from SH+Gl6 and noncancerous PZ+Gl6. This suggested that texture analysis of synthetic MRI combined with diffusion images can provide better performance in the characterization of prostate lesions.

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