Using MRI/ultrasound fusion biopsy to detect clinically significant prostate cancer in the African American population.

2014 ◽  
Vol 32 (4_suppl) ◽  
pp. 57-57
Author(s):  
Arvin George ◽  
Soroush Rais-Bahrami ◽  
Jason Rothwax ◽  
Minhaj Siddiqui ◽  
Lambros Stamatakis ◽  
...  

57 Background: African-American (AA) men are at greater risk for prostate cancer (CaP) and experience increased prostate cancer-specific mortality. We aimed to determine racial disparities in CaP incidence, pathology, and anatomy identified on MRI/US fusion biopsy. Methods: Patients who underwent MP-MRI with targeted MRI/US fusion biopsy at our institution between May 2007 and June 2013 were reviewed. AA patients undergoing fusion biopsy were matched by age and PSA with a Caucasian cohort at a 1:2 ratio. MRI and pathologic parameters including lesion location, number of lesions, and Gleason score. Bivariate comparisons were made with the Student’s t-test and Χ2 analysis. Results: 822 patients had MRI/US fusion biopsy. 127 AA men were paired with a matched cohort of 254 Caucasians. Mean age was 60.2 and 61.4 years and mean PSA was 11.6 and 10.7ng/ml in AAs and Caucasians, respectively. We identified significantly more AA with CaP (49.6% vs 37.4%, p=0.03; Table). AAs also had higher grade disease (Gleason 7-10) versus white men (20.5% vs. 11.8%, p=0.04). Additionally, the diagnostic yield for the AA cohort was significantly higher per sampled lesion (37.5% vs 24.5%, p<0.01), despite no significant differences in % core involvement of the highest risk lesion between the groups. While there was no significant difference in presence of anterior lesions between the groups (15.7% vs 12.9%, p=NS), anterior lesions equally represented the highest risk lesions in both cohorts. Conclusions: MRI/US Fusion-guided biopsy demonstrates increased diagonostic yield/incidence of CaP and higher risk disease in the AA population in an age and PSA matched cohort of Caucasian patients. [Table: see text]

2017 ◽  
Vol 35 (6_suppl) ◽  
pp. 15-15
Author(s):  
Brian P. Calio ◽  
Abhinav Sidana ◽  
Dordaneh Sugano ◽  
Amit L Jain ◽  
Mahir Maruf ◽  
...  

15 Background: To determine the effect of learning curves and changes in fusion platform during 9 years of NCI’s experience with multiparametric MRI (mpMRI)/TRUS fusion biopsy. Methods: A review was performed of a prospectively maintained database of patients undergoing mpMRI followed by fusion biopsy (Fbx) and systematic biopsy (Sbx) from 2007−2016. The patients were stratified based on the timing of first biopsy in 3 groups. Cohort 1 included patients biopsied between 7/2007−12/2010, accounting for learning curve at our institution. Cohort 2 included patients biopsied from 1/2011 up to the debut of UroNav (Invivo) platform in 5/2013. Cohort 3 included patients biopsied after 5/2013. Clinically significant (CS) disease was defined as Gleason 7 (3+4) or higher. Cancer detection rates (CDR) between Sbx and Fbx during different time periods were compared using McNemar’s test. Age and PSA standardized CDRs were calculated for comparison between 3 cohorts. Results: 1528 patients were included in the study with 219, 549 and 761 patients included in 3 respective cohorts. Mean age, PSA and race distribution were similar across 3 cohorts. In cohort 1 there was no significant difference between CDR of CS disease by Fbx (24.7%) vs Sbx (21.5%), p = 0.377. Fbx was significantly better than Sbx in detection of CS disease in cohort 2 and cohort 3 (31.5% vs 25.3%, p = 0.001; 36.5% vs 30.2%, p < 0.001, respectively). There was significant decline in detection of low risk disease by Fbx compared to Sbx in the same period (cohort 2: 14.2% vs 20.9%, p < 0.001; cohort 3: 12.5% vs 19.5%, p < 0.001). Age and PSA standardized CDR of CS cancer by Fbx increased significantly between each successive cohort (cohort 1 and 2: 5.2%, 95% CI [2.1-8.5]), 2 and 3 (5.2%, 95% CI [1.8-8.6]). Conclusions: Our results show that after an early learning period using Fbx, CS prostate cancer was detected at significantly higher rates with Fbx than with Sbx, and low risk disease was detected at lower rates. Advances in software allowed for even greater detection of CS disease in the last cohort. This study shows that accuracy of Fbx is dependent on multiple factors; surgeon/radiologist experience and software improvements together produce improved accuracy.


2015 ◽  
Vol 33 (7_suppl) ◽  
pp. 51-51
Author(s):  
Michele Fascelli ◽  
Rachael Sussman ◽  
Thomas P Frye ◽  
Arvin Koruthu George ◽  
Steven Abboud ◽  
...  

51 Background: Multiparametric MRI (mpMRI) has been shown to improve clinically significant prostate cancer (CaP) detection. Targeted biopsy using MRI/transrectal ultrasonography (TRUS) fusion is a novel diagnostic tool. The negative predictive value (NPV) of an MRI/TRUS fusion targeted biopsy of a suspicious lesion on mpMRI was determined. Methods: 30 of 181 men who underwent prostatectomy from 2008-2014 were retrospectively identified and had at least one lesion on mpMRI negative for cancer on MRI/TRUS fusion biopsy. Whole mount pathology specimens, gold standard for CaP detection, were aligned with MRI to assess true histopathology of all identified targets. Lesions negative for CaP on biopsy and not identified as cancer on pathology were considered true negatives (TN). Lesions biopsied negative but later found to possess foci of CaP on whole mount were considered false negatives (FN). Calculations of NPV were then made per biopsy year, MRI suspicion score, and lesion size on MRI. Results: 48 lesions of a total 81 identified on mpMRI were reported negative for CaP in the 30 patients who underwent fusion biopsy. Of these, 37 lesions were found to be truly negative on histopathology, while 11 lesions had CaP foci on whole mount specimen. Overall NPV was 77% (37/48). The NPV increased over time (Table 1), and was as high as 85.7% most recently. Conclusions: This series demonstrated a NPV of 77% for targeted MRI/TRUS fusion biopsy of lesions seen on mpMRI. The increasing NPV trend noted over time may have further applications to assess the learning curve for this diagnostic method. Not surprisingly, NPV is higher for low and moderately suspicious lesions than for highly suspicious lesions. This data may help physicians interpret the clinical implications of a negative fusion biopsy. [Table: see text]


2010 ◽  
Vol 4 (3) ◽  
pp. 189-206 ◽  
Author(s):  
Gayathri Sridhar ◽  
Saba W. Masho ◽  
Tilahun Adera ◽  
Viswanathan Ramakrishnan ◽  
John D. Roberts

Prostate cancer is the second leading cause of cancer-related mortality in men. This meta-analysis was conducted to investigate the relationship between race and survival from prostate cancer. A systematic review of articles published from 1968 to 2007 assessing survival from prostate cancer was conducted. Analysis of unadjusted studies reported that African American men have an increased risk of all-cause mortality (hazard ratio [HR] = 1.47, 95% confidence interval [CI] = 1.31-1.65, p < .001). However, examination of adjusted studies identified no difference (HR = 1.07, 95% CI = 0.94-1.22, p = .308). No statistically significant difference was observed in prostate cancer—specific survival in both analyses using unadjusted (HR = 1.11, 95% CI = 0.94-1.31, p = .209) and adjusted studies (HR = 1.15, 95% CI = 0.95-1.41, p = .157). This meta-analysis concludes that there are no racial differences in the overall and prostate cancer—specific survival between African American and White men.


2018 ◽  
Vol 36 (6_suppl) ◽  
pp. 136-136
Author(s):  
Amanda Lu ◽  
Kamyar Ghabili ◽  
Kevin Nguyen ◽  
Preston Sprenkle

136 Background: Targeted mpMRI fusion biopsy has gained adoption with superior clinically significant cancer detection rates and accuracy over template biopsy. We sought to establish the role of biopsy location within a prostate lesion to detect clinically significant prostate cancer. Methods: From Nov 2016-Aug 2017, 110 patients with positive multiparametric-MRI (mpMRI) underwent targeted and systematic MRI-US fusion biopsy at our institution for clinical suspicion or known history of prostate cancer. Lesions were scored by Prostate imaging reporting and data system (PI-RADS) classification schema by experienced genitourinary radiologists. Biopsy was performed by an oncology-trained urologist (PS) performing a high volume of fusion biopsies. 5 cores were taken from each lesion, each corresponding to a predetermined location (central, medial, lateral, apex, and base of the lesion). Cancer detection rates (CDR) were calculated on a per lesion basis from biopsy histology. Results: 154 prostate lesions were identified and biopsied with an average volume of 1.31 mL. Detection of clinically significant cancer (G>3+4) did not differ significantly among the 5 locations (Table 1). The central core detected slightly more G≥3+4 cancers than the apex core. No concordance of pathology grade was found between the central core and location of the peripheral core (medial, lateral, apex, or base). In 32% (50/154) of lesions, the peripheral cores had a higher Gleason score than the central core. Biopsy of only the central core missed 40% (21/52) of G≥3+4 cancers and 17% (4/24) of G>3+4 cancers. Lesions with higher PIRADs score were more likely to detect cancer in both the central and peripheral cores, but lesion volume was not a significant predictor. Conclusions: Location of biopsy cores within mpMRI-identified prostate lesions has little correlation with detection of clinically significant cancer. However, targeted biopsy of only the center of a lesion can miss 17% of Gleason >3+4 cancers. [Table: see text]


2018 ◽  
Vol 199 (4S) ◽  
Author(s):  
Amanda Lu ◽  
Kamyar Ghabili Amirkhiz ◽  
Kevin Nguyen ◽  
Michael Leapman ◽  
Preston Sprenkle

2004 ◽  
Vol 171 (4S) ◽  
pp. 334-334
Author(s):  
Walter J. Simoneaux ◽  
Caleb B. Bozeman ◽  
Brett S. Carver ◽  
Donald A. Elmajian

Cancer ◽  
2021 ◽  
Author(s):  
P. Travis Courtney ◽  
Rishi Deka ◽  
Nikhil V. Kotha ◽  
Daniel R. Cherry ◽  
Mia A. Salans ◽  
...  

2021 ◽  
pp. 205141582110237
Author(s):  
Enrico Checcucci ◽  
Sabrina De Cillis ◽  
Daniele Amparore ◽  
Diletta Garrou ◽  
Roberta Aimar ◽  
...  

Objectives: To determine if standard biopsy still has a role in the detection of prostate cancer or clinically significant prostate cancer in biopsy-naive patients with positive multiparametric magnetic resonance imaging. Materials and methods: We extracted, from our prospective maintained fusion biopsy database, patients from March 2014 to December 2018. The detection rate of prostate cancer and clinically significant prostate cancer and complication rate were analysed in a cohort of patients who underwent fusion biopsy alone (group A) or fusion biopsy plus standard biopsy (group B). The International Society of Urological Pathology grade group determined on prostate biopsy with the grade group determined on final pathology among patients who underwent radical prostatectomy were compared. Results: Prostate cancer was found in 249/389 (64.01%) and 215/337 (63.8%) patients in groups A and B, respectively ( P=0.98), while the clinically significant prostate cancer detection rate was 57.8% and 55.1% ( P=0.52). No significant differences in complications were found. No differences in the upgrading rate between biopsy and final pathology finding after radical prostatectomy were recorded. Conclusions: In biopsy-naive patients, with suspected prostate cancer and positive multiparametric magnetic resonance imaging the addition of standard biopsy to fusion biopsy did not increase significantly the detection rate of prostate cancer or clinically significant prostate cancer. Moreover, the rate of upgrading of the cancer grade group between biopsy and final pathology was not affected by the addition of standard biopsy. Level of evidence: Not applicable for this multicentre audit.


2021 ◽  
Author(s):  
Dong Gyun Kim ◽  
Jeong Woo Yoo ◽  
Kyo Chul Koo ◽  
Byung Ha Chung ◽  
Kwang Suk Lee

Abstract INTRODUCTION: To analyze grayscale values for hypoechoic lesions matched with target lesions evaluated using prebiopsy magnetic resonance imaging (MRI). METHODS We collected data on 420 target lesions in patients who underwent MRI/transrectal ultrasound fusion biopsies. Images of hypoechoic lesions that matched the target lesions on MRI were stored in a picture archiving and communication system, and their grayscale values were estimated using the red/green/blue scoring method through an embedded function. We analyzed imaging data using grayscale values. RESULTS Of the 420 lesions, 261 (62.1%) were prostate cancer lesions. Grayscale ranges (42.6–91.8) were significant predictors of clinically significant prostate cancer (csPC) in multivariable logistic regression analyses. Area under the curve for detecting csPC using grayscale values along with conventional variables was 0.839, which was significantly higher than that for detecting csPC using only conventional variables (0.828; p = 0.036). Subgroup analysis revealed a significant difference for PI-RADS 3 lesions between grayscale values for benign and cancerous lesions (p = 0.008). Grayscale values were the only significant predictive factor (p = 0.005) for csPC. CONCLUSIONS Distribution of grayscale values according to PI-RAD 3 scores was useful, and the grayscale range (42.6–91.8) was an important factor for csPC diagnosis.


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