The impact of integrating PRIMARY score or SUVmax with MRI-based risk models for the detection of clinically significant prostate cancer.
Shikuan GuoJing RenQingze MengBoyuan ZhangJianhua JiaoDonghui HanPeng WuShuaijun MaJing ZhangNianzeng XingWeijun QinFei KangJingliang ZhangPublished in: European journal of nuclear medicine and molecular imaging (2024)
The addition of the PRIMARY score to MRI-based multivariable model improved the accuracy of risk stratification prior to biopsy. Our novel MRI-PRIMARY prediction model is a promising approach for reducing unnecessary biopsies and improving the early detection of csPCa.