Role of core location in targeted MRI-ultrasound fusion biopsy of prostate lesions.

2018 ◽  
Vol 36 (6_suppl) ◽  
pp. 136-136
Author(s):  
Amanda Lu ◽  
Kamyar Ghabili ◽  
Kevin Nguyen ◽  
Preston Sprenkle
Keyword(s):  
Prostate Cancer ◽  
Cancer Detection ◽  
High Volume ◽  
Central Core ◽  
Lesion Volume ◽  
Fusion Biopsy ◽  
Detection Rates ◽  
Clinically Significant ◽  
Targeted Mri

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]

How many cores are needed to detect clinically significant prostate cancer on targeted MRI-ultrasound fusion biopsy?

2018 ◽  
Vol 36 (6_suppl) ◽  
pp. 134-134 ◽  
Author(s):  
Amanda Lu ◽  
Kamyar Ghabili ◽  
Kevin Nguyen ◽  
Michael Leapman ◽  
Preston Sprenkle
Keyword(s):  
Cancer Detection ◽  
High Volume ◽  
Optimal Number ◽  
Gleason Grade ◽  
Fusion Biopsy ◽  
Detection Rates ◽  
History Of ◽  
Clinically Significant ◽  
Optimal Approach ◽  
Targeted Mri

134 Background: The optimal number of MRI-US fusion biopsy cores to adequately sample regions of interest (ROI) remains unknown. To better understand the optimal approach to lesion targeting, we aimed to examine the cancer detection rate based on sequential number of cores obtained. Methods: Of 744 patients undergoing MRI-US fusion biopsy between 2012 and 2016 at our institution, we identified 628 men with targets on multi-parametric MRI (mpMRI) who underwent targeted and systematic fusion biopsy using the Artemis platform for clinical suspicion (n=465) or known history of PCa (n=163). mpMRI studies were reviewed by genitourinary radiologists using a 3-tiered Likert scale and PI-RADS classification schema. Biopsy was performed by two urologists performing a high volume of fusion biopsies (PS and RD). Cores were taken sequentially from each ROI with an even distribution. The primary outcome was the proportion of high-grade (Gleason ≥3+4) cancers missed on a 2-core lesion biopsy. Results: We biopsied 1,233 ROI with a median of 5 cores (IQR 3-5) from each ROI. A total of 581 ROI (47%) were positive for any Gleason grade PCa, in 380 (61%) patients. On a per-lesion basis, 84% of any Gleason score cancers were detected with a two-core biopsy and 77% of Gleason ≥3+4 tumors. Cancer detection rates improved with increasing number of cores (Table 1). For any Gleason grade PCa, additional cores beyond 5 cores had no significance. For G≥3+4 cancer, there was no significance with additional sampling from 3 to 4 cores, but improved detection from 3 to 5 cores (P<0.05). For PI-RADs 4 and 5 lesions, additional sampling up to 4 cores significantly improves G≥3+4 detection, while for PI-RADs 1-3 lesions sampling up to 2 cores improves detection. Conclusions: On a per-lesion basis, sampling two cores of mpMRI-evident lesions at the time of fusion biopsy misses nearly one-quarter of clinically significant PCa that would be detected on additional sampling. [Table: see text]

Changes in prostate cancer detection rate of fusion versus systematic biopsy over time: A single center experience.

2017 ◽  
Vol 35 (6_suppl) ◽  
pp. 15-15
Author(s):  
Brian P. Calio ◽  
Abhinav Sidana ◽  
Dordaneh Sugano ◽  
Amit L Jain ◽  
Mahir Maruf ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Detection ◽  
Learning Curves ◽  
Low Risk ◽  
Fusion Biopsy ◽  
Detection Rates ◽  
Single Center Experience ◽  
Significant Difference ◽  
Clinically Significant ◽  
Systematic Biopsy

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.

scholarly journals Prostate cancer detection with magnetic resonance-ultrasound fusion biopsy: The role of systematic and targeted biopsies

Cancer ◽  
2016 ◽  
Vol 122 (6) ◽  
pp. 884-892 ◽  
Author(s):  
Christopher P. Filson ◽  
Shyam Natarajan ◽  
Daniel J.A. Margolis ◽  
Jiaoti Huang ◽  
Patricia Lieu ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Magnetic Resonance ◽  
Cancer Detection ◽  
Fusion Biopsy ◽  
Prostate Cancer Detection ◽  
Targeted Biopsies

scholarly journals Evaluation of the Ginsburg Scheme: Where Is Significant Prostate Cancer Missed?

Cancers ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 2502
Author(s):  
August Sigle ◽  
Cordula A. Jilg ◽  
Timur H. Kuru ◽  
Nadine Binder ◽  
Jakob Michaelis ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Cancer Detection ◽  
Logistic Regression Analysis ◽  
Anterior Region ◽  
Targeted Biopsy ◽  
Detection Rates ◽  
Clinically Significant ◽  
Systematic Biopsy

Background: Systematic biopsy (SB) according to the Ginsburg scheme (GBS) is widely used to complement MRI-targeted biopsy (MR-TB) for optimizing the diagnosis of clinically significant prostate cancer (sPCa). Knowledge of the GBS’s blind sectors where sPCa is missed is crucial to improve biopsy strategies. Methods: We analyzed cancer detection rates in 1084 patients that underwent MR-TB and SB. Cancerous lesions that were missed or underestimated by GBS were re-localized onto a prostate map encompassing Ginsburg sectors and blind-sectors (anterior, central, basodorsal and basoventral). Logistic regression analysis (LRA) and prostatic configuration analysis were applied to identify predictors for missing sPCa with the GBS. Results: GBS missed sPCa in 39 patients (39/1084, 3.6%). In 27 cases (27/39, 69.2%), sPCa was missed within a blind sector, with 17/39 lesions localized in the anterior region (43.6%). Neither LRA nor prostatic configuration analysis identified predictors for missing sPCa with the GBS. Conclusions: This is the first study to analyze the distribution of sPCa missed by the GBS. GBS misses sPCa in few men only, with the majority localized in the anterior region. Adding blind sectors to GBS defined a new sector map of the prostate suited for reporting histopathological biopsy results.

scholarly journals The role of MRI/TRUS fusion biopsy in the diagnosis of clinically significant prostate cancer

2020 ◽  
Vol 12 ◽  
pp. 175628722091661
Author(s):  
Andrea Benelli ◽  
Chiara Vaccaro ◽  
Sonia Guzzo ◽  
Carlotta Nedbal ◽  
Virginia Varca ◽  
...  
Keyword(s):  
Active Surveillance ◽  
Cancer Detection ◽  
Detection Rate ◽  
Transrectal Ultrasound ◽  
Fusion Biopsy ◽  
Clinically Significant ◽  
Biopsy Gleason Score ◽  
Prostate Cancers ◽  
Negative Biopsies

Background: The aim of this work is to evaluate the detection rate of magnetic resonance imaging/transrectal ultrasound (MRI/TRUS) fusion-guided biopsy for clinically significant prostate cancers (Cs PCas), with particular interest in biopsy-naive patients and patients in active surveillance. MRI-targeted biopsy improves cancer detection rate (DR) in patients with prior negative biopsies; the current literature focuses on biopsy naive patients. We also evaluated the pathologic concordance between biopsies and surgical specimens. Methods: MRI/TRUS fusion-guided biopsies were performed between February 2016 and February 2019. Patients with previous negative biopsies, biopsy-naive or in active surveillance (AS) were included. Cs PCas were defined through Epstein’s criteria. Results: A total of 416 men were enrolled. The overall DRs and Cs PCa DRs were 49% and 34.3%, respectively. Cs PCas were 17.2%, 44.9% and 73.4%, respectively for PI-RADS 3, 4 or 5. Among biopsy-naive patients, 34.8% were found to have a Cs PCa, while a 43.6% tumour upgrading was achieved in men with a low risk of PCa. In patients who underwent radical prostatectomy (RP), the concordance between biopsy Gleason score (GS) (bGS) and pathological GS (pGS) was 90.8%. Conclusion: Our study highlights the role of MRI/TRUS fusion prostate biopsy in the detection of PCa in patients with previous negative biopsies focusing on Cs PCa diagnosis. The MRI/TRUS fusion biopsy is also emerging as a diagnostic tool in biopsy-naïve patients and deserves a fundamental role in AS protocols. A greater concordance between bGS and pGS can be achieved with targeted biopsies.

scholarly journals Cancer Detection Rates of Systematic and Targeted Prostate Biopsies after Biparametric MRI

2020 ◽  
Vol 2020 ◽  
pp. 1-6
Author(s):  
Maudy C. W. Gayet ◽  
Anouk A. M. A. van der Aa ◽  
Harrie P. Beerlage ◽  
Bart Ph Schrier ◽  
Maaike Gielens ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Detection ◽  
Prostate Biopsy ◽  
Detection Rates ◽  
Prostate Biopsies ◽  
Significant Difference ◽  
Significant Pathology ◽  
Study Population ◽  
Clinically Significant ◽  
Control Study

Objective. To compare prostate cancer detection rates (CDRs) and pathology results with targeted prostate biopsy (TB) and systematic prostate biopsy (SB) in biopsy-naive men. Methods. An in-patient control study of 82 men undergoing SB and subsequent TB in case of positive prostate MRI between 2015 and 2017 in the Jeroen Bosch Hospital, the Netherlands. Results. Prostate cancer (PCa) was detected in 54.9% with 70.7% agreement between TB and SB. Significant PCa (Gleason score ≥7) was detected in 24.4%. The CDR with TB and SB was 35.4% and 48.8%, respectively (p=0.052). The CDR of significant prostate cancer with TB and SB was both 20.7%. Clinically significant pathology upgrading occurred in 7.3% by adding TB to SB and 22.0% by adding SB to TB. Conclusions. There is no statistically significant difference between CDRs of SB and TB. Both SB and TB miss significant PCas. Moreover, pathology upgrading occurred more often by adding SB to TB than vice versa. This indicates that the omission of SB in this study population might not be justified.

Is PI-RADS 3/total lesion ratio associated with clinically-significant prostate cancer in patients with equivocal-risk lesions on multi-parametric MRI?

2018 ◽  
Vol 36 (6_suppl) ◽  
pp. 149-149
Author(s):  
Kamyar Ghabili ◽  
Matthew Swallow ◽  
Alfredo Suarez-Sarmiento ◽  
Jamil Syed ◽  
Michael Leapman ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Prostate Volume ◽  
Area Under The Curve ◽  
Lesion Volume ◽  
Fusion Biopsy ◽  
Grade Group ◽  
Psa Density ◽  
Increased Risk ◽  
Positive Core ◽  
Clinically Significant

149 Background: Prostate imaging reporting and data system (PI-RADS) category 3 (P3) provides an equivocal assessment of prostate cancer (PCa). We aimed to investigate imaging parameters including the ratio of P3-to-total regions of interest (ROI) that may assist in identifying P3 lesions harboring clinically-significant PCa (csPCa). Methods: We retrospectively queried our institutional MRI-ultrasound fusion biopsy database to identify patients without a prior diagnosis of PCa and with at least one P3 lesion on multi-parametric MRI (mpMRI) who underwent fusion biopsy during Feb 2015-Oct 2017. mpMRI findings were assessed, including prostate and P3 volumes, number of ROIs, and P3-to-total ROIs ratio (P3 lesion volume/total ROIs volumes). Logistic regression and area under the curve (AUC) were used to assess the ability of clinical and mpMRI characteristics to predict csPCa, defined as any grade group (GG)≥2 cancer or GG 1 cancer in > 2 cores or > 50% of any positive core from targeted biopsy of the P3 lesion. Results: Of 127 men with at least one P3 lesion, 29 (22.8%) had csPCa on the biopsy of P3 lesions. Patients with csPCa in P3 lesions had smaller prostate volumes (42.1mL vs 56mL, p = 0.003), lower P3/total ROIs ratios (0.46 vs 1.00, p < 0.001), and higher numbers of total ROIs (2 vs 1, p = 0.004). Compared with patients who had a P3/total ROIs ratio > 0.58, men with ratios < 0.58 were more likely to be diagnosed with csPCa in a P3 lesion (57.1% vs 9%, p < 0.001). Using a threshold of 0.58, P3/total ROIs ratio was 76.1% sensitive and 80.6% specific for csPCa in a P3 lesion. On multivariate analysis, smaller prostate volume (OR1.04, 95%CI 1.01-1.07, p = 0.01) and lower P3/total ROIs ratio (OR1.04, 95%CI 1.02-1.07, p = 0.003) were associated with an increased risk of csPCa in P3 lesions. P3/total ROIs ratio (AUC 0.73) and prostate volume (AUC 0.70) were superior to PSA density (AUC 0.65) for the prediction of csPCa in P3 lesions. Conclusions: Our data indicated that prostate volume and P3/total ROIs ratio outperformed PSA density in and were associated with detecting csPCa in P3 lesions. P3/total ROIs ratio could be used to avoid 80.6% of unnecessary biopsies of a P3 lesion in men with multiple ROIs.

scholarly journals Optimal PSA Threshold for Obtaining MRI-Fusion Biopsy in Biopsy-Naïve Patients

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Luke L. Wang ◽  
Brandon L. Henslee ◽  
Peter B. Sam ◽  
Chad A. LaGrange ◽  
Shawna L. Boyle
Keyword(s):  
Magnetic Resonance Imaging ◽  
Prostate Cancer ◽  
Magnetic Resonance ◽  
Prostate Specific Antigen ◽  
Cancer Detection ◽  
Specific Antigen ◽  
Targeted Biopsy ◽  
Resonance Imaging ◽  
Fusion Biopsy ◽  
Clinically Significant

Objective. The study investigates the prostate-specific antigen threshold for adding targeted, software-based, magnetic resonance imaging-ultrasound fusion biopsy during a standard 12-core biopsy in biopsy-naïve patients. It secondarily explores whether the targeted biopsy is necessary in setting of abnormal digital rectal examination. Methods. 260 patients with suspected localized prostate cancer with no prior biopsy underwent prostate magnetic resonance imaging and were found to have Prostate Imaging Reporting and Data System score ≥   3 lesion(s). All 260 patients underwent standard 12-core biopsy and targeted biopsy during the same session. Clinically significant cancer was Gleason ≥ 3 + 4. Results. Percentages of patients with prostate-specific antigen 0–1.99, 2–3.99, 4–4.99, 5–5.99, 6–9.99, and ≥ 10 were 3.0%, 4.7%, 20.8%, 16.9%, 37.7%, and 16.9%, respectively. Cumulative frequency of clinically significant prostate cancer increased with the addition of targeted biopsy compared with standard biopsy alone across all prostate-specific antigen ranges. The difference in clinically significant cancer detection between targeted plus standard biopsy compared to standard biopsy alone becomes statistically significant at prostate-specific antigen >4.3 ( p = 0.031 ). At this threshold, combination biopsy detected 20 clinically significant prostate cancers, while standard detected 14 with 88% sensitivity and 20% specificity. Excluding targeted biopsy in setting of a positive digital rectal exam would save 12.3% magnetic resonance imaging and miss 1.8% clinically significant cancers in our cohort. Conclusions. In biopsy-naïve patients, at prostate-specific antigen >4.3, there is a significant increase in clinically significant prostate cancer detection when targeted biopsy is added to standard biopsy. Obtaining standard biopsy alone in patients with abnormal digital rectal examinations would miss 1.8% clinically significant cancers in our cohort.

scholarly journals Magnetic resonance/ultrasound fusion targeted biopsy of the prostate can be improved by adding systematic biopsy

2021 ◽  
Author(s):  
Victor Mihail Cauni ◽  
Dan Stanescu ◽  
Florin Tanase ◽  
Bogdan Mihai ◽  
Cristian Persu
Keyword(s):  
Prostate Cancer ◽  
Magnetic Resonance ◽  
Cancer Detection ◽  
Detection Rate ◽  
Specific Antigen ◽  
Cancer Detection Rate ◽  
Targeted Biopsy ◽  
Detection Rates ◽  
Clinically Significant ◽  
Systematic Biopsy

Aim: Magnetic resonance/ ultrasound fusion targeted biopsy (Tbs) is widely used for diagnosing prostate cancer (PCa). The aim of our study was to compare the cancer detection rate (CDR) and the clinically significant prostate cancer detection rate (csPCa) of the magnetic resonance/ultrasound fusion targeted biopsy with those of the standard systematic biopsy (Sbs) and of the combination of both techniques.Material and methods: A total of 182 patients underwent magnetic resonance/ultrasound fusion Tbs on the prostate for PCa suspicion based on multiparametric magnetic resonance imaging (mMRI) detection of lesions with PI-RADSv2 score ≥3. A total of 78 patients had prior negative biopsies. Tb was performed by taking 2-4 cores from each suspected lesion, followed by Sb with 12 cores. We evaluated the overall detection rate of PCa and clinically significant prostate cancer, defined as any PCa with Gleason score ≥3+4.Results: Median prostate specific antigen (PSA) level pre-biopsy was 7.4 ng/ml and median free-PSA/PSA ratio was 10.2%. Patient median age was 62 years old. PIRADSv2 score was 3 in 54 cases, 4 in 96 cases and 5 in 32 cases. PI-RADS-dependent detection rate of Tbs for scores 3, 4 and 5 was 25.9%, 65.6% and 84.4%, respectively, with csPCa detection rates of 24.1%, 54.2%, and 71.9%. Overall detection rate was 57.1% for Tbs, which increased to 60.4% by adding Sbs results. Detection rate for clinically significant prostate cancer (csPCa) was 48.4% and increased to 51.1% by adding Sbs. Overall detection rate for repeated biopsy was 50% and 68.3% for biopsy in naïve patients. Sbs detection rate was 55.5%, 8 patients having a negative biopsy on Tbs.Conclusions: When Tbs is considered due to a PI-RADS ≥3 lesion on mMRI, combined Tbs + Sbs increases the overall CDR and csPCa detection rates.

Sign in / Sign up

Export Citation Format

Share Document