Imaging feature analysis of the core area in prostate targeted biopsy
Objective: To analyze the imaging features of the core area in cognitive fusion targeted biopsy using mpMRI and ultrasound images. Methods: A retrospective analysis was conducted on the clinical data of 255 pa-tients who underwent prostate cognitive fusion targeted biopsy with a combined system at the Urology Department of Fudan University Shanghai Cancer Center from January 2022 to October 2023. Compared with 531 patients who underwent only systematic biopsy during the same period, the detection rates of prostate cancer and clinically sig-nificant prostate cancer(csPCa) were explored, and the morphological characteristics of the core area in targeted biopsy on mpMRI and ultrasound images were evaluated and analyzed. Results: The detection rates of prostate cancer in the targeted biopsy combined with systematic biopsy group and the systematic biopsy-only group were 82. 0％(209/255) and 44. 1 ％ (234/531) respectively, and the csPCa detection rates were 65. 5％ (167/255) and 32. 6％ (173/531) respectively, with statistically significant differences in the detection rates of prostate cancer and csPCa between the two groups(P＜0. 05). There were four different morphological characteristics of the targeted biopsy core area in MRI images: irregular, ellipsoid-like, round-like, and crescent, accounting for 60. 0％ (153/255) , 18. 0％ (46/255) , 12. 2％ (31/255) , and 9. 8 ％ ( 25/255) respectively, and the patients with irregular shape had higher blood PSA levels than the other three groups(P = 0. 001). The morphology of the core area in ultra-sound images was similar to that in MRI images, but with more blurred edges, and the proportion of hypoechoic areas was 79. 6％ (203/255) , with the rest being isoechoic or hyperechoic. Conclusion: Correct understanding of prostate MRI image information and grasping the imaging features of the targeted biopsy core area are key to the successful performance of prostate targeted biopsy.
prostate cancertargeted biopsycognitive fusionimaging features
万方数据
维普
