T he incidence of prostate cancer (PCa) has increased by 42% worldwide since 2007 (1). Early and accurate diagnosis is of great importance for prognosis and for planning treatment. In clinical routine, the likelihood of clinically significant PCa is assessed by using the Prostate Imaging Reporting and Data System (PI-RADS), which incorporates anatomic and functional information acquired by using multiparametric MRI (2,3). This diagnostic MRI pathway with subsequent biopsy-based histopathologic confirmation is the recommended strategy in patients suspected to have PCa (4). However, PI-RADS version 2 has limitations including moderate interreader agreement, diagnostic challenges due to overlapping imaging features between PCa and benign prostatic disease, and relatively high false-negative and false-positive rates (5-12). The 2019 update, PI-RADS version 2.1 (13), has only slightly improved interreader variability and diagnostic performance for lesions located in the transition zone (TZ) (12). Therefore, new quantitative imaging markers are desirable for further improving depiction and characterization of PCa (13,14). Tomoelastography, a multifrequency MR elastography technique, has been recently introduced for cancer imaging (15,16). Two mechanical parameters are evaluated with tomoelastography: shear-wave speed (c) and phase angle of the shear modulus (w), which are surrogate markers of stiffness and fluidity, respectively. Within the liver, these parameters provide information regarding the viscoelastic