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Updated: Mar 16, 2026

A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound
Published on: March 21, 2025
Prostate cancer detection using multiparametric 3 - tesla MRI and fusion biopsy: preliminary results
Thais Caldara Mussi1, Rodrigo Gobbo Garcia2, Marcos Roberto Gomes Queiroz2
1Departamento de Radiologia e Diagnóstico por Imagem do Hospital Israelita Albert Einstein, São Paulo, SP, Brasil.
Objective:
To evaluate the diagnostic efficacy of transrectal ultrasonography (US) bi¬opsy with imaging fusion using multiparametric (mp) magnetic resonance imaging (MRI) in patients with suspicion of prostate cancer (PCa), with an emphasis on clini¬cally significant tumors according to histological criteria.
Materials And Methods:
A total of 189 consecutive US/MRI fusion biopsies were per¬formed obtaining systematic and guided samples of suspicious areas on mpMRI using a 3 Tesla magnet without endorectal coil. Clinical significance for prostate cancer was established based on Epstein criteria.
Results:
In our casuistic, the average Gleason score was 7 and the average PSA was 5.0ng/mL. Of the 189 patients that received US/MRI biopsies, 110 (58.2%) were positive for PCa. Of those cases, 88 (80%) were clinically significant, accounting for 46.6% of all patients. We divided the MRI findings into 5 Likert scales of probability of having clinically significant PCa. The positivity of US/MRI biopsy for clinically significant PCa was 0%, 17.6% 23.5%, 53.4% and 84.4% for Likert scores 1, 2, 3, 4 and 5, respectively. There was a statistically significant difference in terms of biopsy results between dif¬ferent levels of suspicion on mpMRI and also when biopsy results were divided into groups of clinically non-significant versus clinically significant between different lev¬els of suspicion on mpMRI (p-value < 0.05 in both analyzes).
Conclusion:
We found that there is a significant difference in cancer detection using US/MRI fusion biopsy between low-probability and intermediate/high probability Likert scores using mpMRI.

