Accuracy of Magnetic Resonance Imaging/Ultrasound Fusion Targeted Biopsies to Diagnose Clinically Significant Prostate Cancer in Enlarged Compared to Smaller Prostates
Abstract
We assessed the accuracy of magnetic resonance imaging/transrectal ultrasound fusion biopsies to diagnose prostate cancer according to gland size. A prospective study was performed in 232 men with a first round biopsy, multiparametric magnetic resonance imaging with a lesion, a Likert score of 2 or greater and prostate specific antigen less than 10 ng/ml. All men underwent a standard 12-core protocol plus a protocol of 2 or 3 targeted cores. Significant prostate cancer was defined as at least 1 core with a Gleason score of 7 (3 + 4) or 6 with a greater than 4 mm maximal cancer core length. Mean ± SD patient age was 64 ± 6.4 years, mean prostate specific antigen was 6.65 ± 1.8 ng/ml and mean prostate volume was 40 ± 24.3 ml. The overall detection rate of clinically significant prostate cancer was 44%. The detection rate of clinically significant prostate cancer by magnetic resonance imaging-transrectal ultrasound fusion guided biopsy was 77% for prostate glands less than 30 cm(3), and 61%, 47% and 34% for glands 30 to less than 38.5, 38.5 to less than 55 and 55 to 160 cm(3), respectively (p = 0.001). Differences in prostate cancer detection rates between the standard and targeted protocols were not significant for patients with ...Continue Reading
References
Utility of multiparametric magnetic resonance imaging suspicion levels for detecting prostate cancer
Citations
Whole mount histopathological correlation with prostate MRI in Grade I and II prostatectomy patients
Defining the target prior to prostate fusion biopsy: the effect of MRI reporting on cancer detection
Is Additional Systematic Biopsy Necessary in All Initial Prostate Biopsy Patients With Abnormal MRI?
Related Concepts
Related Feeds
Cancer Imaging
Imaging techniques, including CT and MR, have become essential to tumor detection, diagnosis, and monitoring. Here is the latest research on cancer imaging.