Prostate cancer is a major global health concern, with an estimated 1,466,680 new cases and 396,792 deaths reported worldwide in 2022. Prostate cancer is the second most common cancer and the fifth leading cause of cancer death among men1. By 2040, the number of new prostate cancer cases is projected to rise to 2.9 million, with deaths expected to reach 700,0002. Early diagnosis and standardized treatment are crucial for improving survival rates in patients with prostate cancer, and prostate biopsy remains the gold standard for early diagnosis.
Since 1968, transrectal ultrasound (TRUS) has been an important tool for guiding prostate biopsies. However, the sensitivity and specificity of TRUS-guided prostate biopsies are limited by 65-74% and 40-57%3, respectively, particularly in detecting early-stage or small-volume lesions4. To overcome these limitations, multiparametric MRI (mpMRI) has emerged as a superior imaging technique, providing more detailed evaluations of prostate tissue and improved localization of clinically significant prostate cancer. Compared with traditional TRUS-guided biopsy, mpMRI can more accurately identify suspicious lesions within the prostate and improve the precision of targeted biopsies5,6.
Several MRI-guided prostate biopsy techniques have been developed, leveraging the enhanced diagnostic capabilities of prostate mpMRI. These techniques include MRI-targeted prostate biopsy, MRI-transrectal ultrasound fusion prostate biopsy, and cognitive fusion-guided prostate biopsy7,8. MRI-targeted prostate biopsy is performed directly inside the MRI scanner, allowing real-time image guidance during biopsy. This technique offers excellent lesion localization; however, it is costly and time-consuming due to the prolonged imaging and procedural requirements. MRI-transrectal ultrasound fusion prostate biopsy combines MR images and real-time TRUS images via specialized software, making it complex and costly.
In contrast, cognitive fusion-guided prostate biopsy involves clinicians memorizing lesion locations from MR images and mentally integrating this information with real-time TRUS during biopsy. This technique requires no additional equipment, making it simple, cost-effective, and highly suitable for clinical adoption. However, cognitive fusion-guided prostate biopsy is highly dependent on the clinician's experience, and the process of lesion localization relies entirely on memory and judgment, which results in reduced reproducibility and limits its broader application. To address these challenges, an improved transperineal cognitive fusion biopsy method was developed by integrating three key parameters from prostate mpMR images with TRUS. This method is highly reproducible, easy to perform, and well suited for widespread clinical implementation, offering significant support for the accurate diagnosis of prostate cancer. This paper details the protocol and clinical utility of this standardized approach, highlighting its potential to improve prostate cancer detection in routine practice.