scholarly journals Predictors of clinically significant disease on systematic cores only in magnetic resonance imaging-guided prostate biopsy

2020 ◽  
Vol 19 ◽  
pp. e1550
Author(s):  
A. Kalapara ◽  
N.J. Sathianathen ◽  
C.A. Warlick ◽  
C.J. Weight ◽  
B. Spilseth ◽  
...  
2021 ◽  
pp. 205141582110043
Author(s):  
Hanna J El-Khoury ◽  
Niranjan J Sathianathen ◽  
Yuxin Jiao ◽  
Reza Farzan ◽  
Dennis Gyomber ◽  
...  

Objectives: This study aimed to characterise the accuracy of multiparametric magnetic resonance imaging (mpMRI) as an adjunct to prostate biopsy, and to assess the effect of the new Australian Medicare rebate on practice at a metropolitan public hospital. Patients and methods: We identified patients who underwent transrectal ultrasound (TRUS)-guided prostate biopsy at a single institution over a two-year period. Patients were placed into two groups, depending upon whether their consent was obtained before or after the introduction of the Australian Medicare rebate for mpMRI. We extracted data on mpMRI results and TRUS-guided biopsy histopathology. Descriptive statistics were used to demonstrate baseline patient characteristics as well as MRI and histopathology results. Results: A total of 252 patients were included for analysis, of whom 128 underwent biopsy following the introduction of the Medicare rebate for mpMRI. There was a significant association between Prostate Imaging Reporting and Data System v2 (PI-RADS) classification and the diagnosis of clinically significant prostate cancer ( p<0.01). Only one man with PI-RADS ⩽2 was found to have clinically significant prostate cancer. Four men with a PI-RADS 3 lesion were found to have clinically significant cancer. A PI-RADS 4 or 5 lesion was significantly associated with the diagnosis of clinically significant cancer on multivariable analysis. Conclusion: mpMRI is an important adjunct to biopsy in the diagnosis of clinically significant prostate cancer. Our findings support the safety of omitting/delaying prostate biopsy in men with negative mpMRI. Level of evidence: Level 3 retrospective case-control study.


2020 ◽  
Vol 15 (5) ◽  
Author(s):  
Alon Lazarovich ◽  
Gil Raviv ◽  
Yael Laitman ◽  
Orith Portnoy ◽  
Orit Raz ◽  
...  

Introduction: We aimed to compare systematic biopsies (SBs) of in-bore magnetic resonance-guided prostate biopsy (MRGpB) with those performed under transrectal ultrasound (TRUS) guidance in the clinical setting. Methods: Data on all 161 consecutive patients undergoing prostate biopsy in our institution between November 2017 and July 2019 were retrospectively collected. The patients were referred to biopsy due to elevated prostate-specific antigen (PSA) and/or abnormal digital rectal examination and/or at least one Prostate Imaging Reporting and Data System (PI-RADS) lesion score of ≥3 on multiparametric magnetic resonance imaging (mpMRI). We included patients with PSA levels ≤20 ng/ml and those with 8–12 core biopsies. Histology results of SBs performed by in-bore MRGpB were compared to TRUS SBs. Chi-squared, Fischer’s exact, and multivariate Pearson regression tests were used for statistical analysis (SPSS, IBM Corporation). Results: In total, 128 patients were eligible for analysis. Their median age was 68 years (interquartile range [IQR] 61.5–72), mean prostate size 55±29 cc, and mean PSA and PSA density levels 7.6±3.5 ng/ml and 0.18±0.13 ng/ml/cc, respectively. Thirty-five patients (27.3%) had suspicious digital rectal examination findings. Both biopsy groups were similar for these parameters. Thirty-eight (62.3%) MRGpB patients had a previous biopsy vs. 5 (7.1%) TRUS-SB patients (p<0.0001). The number of patients diagnosed with clinically significant and non-significant disease was similar for both groups. High-risk disease was more prevalent in the TRUS-SB group (22.4% vs. 4.9%, p<0.01). Conclusions: Our data suggest that in-bore MRGpB is no better than TRUS for guiding SBs for the detection of clinically significant prostate cancer.


2018 ◽  
Vol 2018 ◽  
pp. 1-10
Author(s):  
Cong Huang ◽  
Gang Song ◽  
He Wang ◽  
Guangjie Ji ◽  
Jie Li ◽  
...  

Objective. To develop and internally validate nomograms based on multiparametric magnetic resonance imaging (mpMRI) to predict prostate cancer (PCa) and clinically significant prostate cancer (csPCa) in patients with a previous negative prostate biopsy. Materials and Methods. The clinicopathological parameters of 231 patients who underwent a repeat systematic prostate biopsy and mpMRI were reviewed. Based on Prostate Imaging and Reporting Data System, the mpMRI results were assigned into three groups: Groups “negative,” “suspicious,” and “positive.” Two clinical nomograms for predicting the probabilities of PCa and csPCa were constructed. The performances of nomograms were assessed using area under the receiver operating characteristic curves (AUCs), calibrations, and decision curve analysis. Results. The median PSA was 15.03 ng/ml and abnormal DRE was presented in 14.3% of patients in the entire cohort. PCa was detected in 75 patients (32.5%), and 59 (25.5%) were diagnosed with csPCa. In multivariate analysis, age, prostate-specific antigen (PSA), prostate volume (PV), digital rectal examination (DRE), and mpMRI finding were significantly independent predictors for PCa and csPCa (all p < 0.01). Of those patients diagnosed with PCa or csPCa, 20/75 (26.7%) and 18/59 (30.5%) had abnormal DRE finding, respectively. Two mpMRI-based nomograms with super predictive accuracy were constructed (AUCs = 0.878 and 0.927, p < 0.001), and both exhibited excellent calibration. Decision curve analysis also demonstrated a high net benefit across a wide range of probability thresholds. Conclusion. mpMRI combined with age, PSA, PV, and DRE can help predict the probability of PCa and csPCa in patients who underwent a repeat systematic prostate biopsy after a previous negative biopsy. The two nomograms may aid the decision-making process in men with prior benign histology before the performance of repeat prostate biopsy.


2014 ◽  
Vol 191 (6) ◽  
pp. 1749-1754 ◽  
Author(s):  
Ardeshir R. Rastinehad ◽  
Baris Turkbey ◽  
Simpa S. Salami ◽  
Oksana Yaskiv ◽  
Arvin K. George ◽  
...  

2017 ◽  
Vol 11 (9) ◽  
pp. E330-7 ◽  
Author(s):  
Franck Bladou ◽  
Cora Fogaing ◽  
Mark Levental ◽  
Samuel Aronson ◽  
Mona Alameldin ◽  
...  

Introduction: Magnetic resonance imaging (MRI) is being more widely used in the detection of prostate cancer (PCa), particularly after an initial negative biopsy. In this study, we compared 12-core systematic biopsy (SYS), MRI-targeted biopsy (TAR), and the association of systematic and MRI-targeted (SYS+TAR) prostate biopsy in patients with previous biopsy and those who were biopsy-naive to evaluate the differences in terms of cancer detection and clinically significant cancer detection between the three modalities.Methods: Overall, 203 consecutive patients with suspicion of PCa were analyzed; 48.2% were biopsy-naive and 51.7% had at least one previous negative prostate biopsy. The median age was 66 years, median prostate-specific antigen (PSA) level was 7.9 ng/mL and median prostate volume was 46 mL. 38.9% had SYS, 19.2% TAR only, and 41.8% had SYS+TAR biopsy.Results: Overall, the PCa detection (PCaDR) was 63%. The SYS+TAR biopsy detected significantly more cancer than SYS and TAR only biopsies (72.9% vs. 56.9% and 53.8% respectively; p=0.03). Detection rate of clinically significant cancer (csPCaDR) was 50.7% overall; 65.8% in the SYS+TAR biopsy vs. 39.2% in the SYS and 48.7% in the TAR groups (p=0.002). In the biopsy-naive group, PCaDR and csPCaDR were significantly higher in the SYS+TAR group than in the SYS and TAR groups (p=0.01). In the repeat biopsy group, PCaDR and csPCaDR were equivalent in the TAR and SYS+TAR groups and higher than in the SYS group (p=0.001).Conclusions: TAR biopsy, when added to SYS biopsy, was associated with a higher detection rate of csPCa in biopsy-naive patients when compared to TAR and SYS only biopsies. In patients after previous negative biopsy, detection rates of csPCa were equivalent for SYS+TAR and TAR only biopsies, but higher than SYS.


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