The best prostate biopsy sampling system—fusion and systematic biopsy: A single center experience

2021 ◽  
pp. 039156032110371
Author(s):  
Alfonso Califano ◽  
Alessandro Caputo ◽  
Antonio D’Antonio ◽  
Vincenzo Ciccone ◽  
Marco Fabiano ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Diagnostic Accuracy ◽  
Diagnostic Performance ◽  
Targeted Biopsy ◽  
Sampling System ◽  
Single Center Experience ◽  
Prostate Biopsies ◽  
Clinically Significant ◽  
Prostate Cancers ◽  
Systematic Biopsy

Background: Prostate cancer is the second most commonly diagnosed cancer in men. The diagnostic accuracy in prostate cancer can be increased by employing a preliminary multiparametric MRI followed by a fusion-targeted biopsy. Methods: To compare the diagnostic accuracy of fusion-targeted biopsy with the standard systematic biopsy in prostate cancer patients, we enrolled 139 patients on which we performed 139 prostate biopsies consisting of three targeted samples followed by 12 regular systematic samples. Based on histology, we analyzed the diagnostic performance of the two methods. Results: Both methods were equally good at detecting clinically significant cancer (83.3%, 50/60), while systematic biopsy detected more clinically insignificant cancers. However, the best diagnostic performance is obtained by combining the two methods. Conclusion: The two methods are best seen as synergistic, and the addition of fusion biopsy can be used to detect more clinically significant prostate cancers than systematic biopsy alone.

scholarly journals Systematic and MRI-Cognitive Targeted Transperineal Prostate Biopsy Accuracy in Detecting Clinically Significant Prostate Cancer after Previous Negative Biopsy and Persisting Suspicion of Malignancy

Medicina ◽  
2021 ◽  
Vol 57 (1) ◽  
pp. 57
Author(s):  
Alvydas Vėželis ◽  
Gediminas Platkevičius ◽  
Marius Kinčius ◽  
Liutauras Gumbys ◽  
Ieva Naruševičiūtė ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Prostate Biopsy ◽  
Specific Antigen ◽  
Transrectal Ultrasound ◽  
Targeted Biopsy ◽  
Negative Biopsy ◽  
Prostate Biopsies ◽  
Clinically Significant ◽  
Systematic Biopsy ◽  
Targeted Biopsies

Background and objectives: Overdiagnosis, overtreatment, and the need for repeated procedures caused by transrectal ultrasound guided prostate biopsies and their related complications places a heavy burden on healthcare systems. This was a prospective cohort validating study to access the clinical accuracy of systematic and MRI-cognitive targeted transperineal prostate biopsies in detecting clinically significant prostate cancer after a previous negative biopsy and persistent suspicion of malignancy. The primary goal was to assess the ability of multiparametric magnetic resonance imaging (mpMRI) to detect clinically significant prostate cancer with an additional goal to assess the diagnostic value of systematic and MRI-cognitive transperineal biopsies. Materials and Methods: In total, 200 patients were enrolled who had rising serum prostate specific antigen (PSA) levels for at least 4 months after a previous negative transrectal ultrasound (TRUS) biopsy. All eligible men underwent 1.5T prostate mpMRI, reported using the Prostate Imaging Reporting and Data System version 2 (PI-RADS v2), followed by a 20-region transperineal prostate systematic biopsy and additional targeted biopsies. Results: Systematic 20-core transperineal prostate biopsies (TPBs) were performed for 38 (19%) patients. Systemic 20-core TPB with additional cognitive targeted biopsies were performed for 162 (81%) patients. Clinically significant prostate cancer (csPC) was detected for 31 (15.5%) patients, of which 20 (64.5%) cases of csPC were detected by systematic biopsy, eight (25.8%) cases were detected by targeted biopsy, and three (9.7%) both by systematic and targeted biopsies. Conclusions: Cognitive mpMRI guided transperineal target biopsies increase the detection rate of clinically significant prostate cancer after a previously negative biopsy. However, in a repeat prostate biopsy setting, we recommend applying a cognitive targeted biopsy with the addition of a systematic biopsy.

scholarly journals Evaluating the efficacy of a low-cost, minimally-invasive cognitive MRI targeted biopsy protocol in the Prostate Imaging Reporting and Data System (PI-RADS) version 2 era.

2019 ◽  
Author(s):  
Yuta Takeshima ◽  
Yoshinori Tanaka ◽  
Kotaro Takemura ◽  
Shusaku Nakazono ◽  
Eiko Yamashita ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Diagnostic Performance ◽  
Low Cost ◽  
Multiparametric Mri ◽  
Data System ◽  
Targeted Biopsy ◽  
Prostate Imaging ◽  
Biopsy Protocol ◽  
Clinically Significant ◽  
Systematic Biopsy

Abstract Background: New MRI-guided targeting biopsy methods have increased cancer yield of prostate biopsies. However, cost and time constraints have made it difficult for many institutions to implement these newer methods. We evaluated the diagnostic performance of a low-cost, minimally-invasive, cognitive MRI-targeted biopsy protocol based on 1.5T multiparametric MRI graded with Prostate Imaging Reporting and Data System version 2 that is easily implemented in any low- to intermediate- volume center. Methods: Retrospective analysis of 255 patients who underwent prostate biopsy between December 2016 and March 2019 at a single facility. Indication for biopsy was based on clinical parameters including 1.5T multiparametric MRI. In addition to 10-core systematic biopsy, targeted cores were obtained with cognitive recognition under ultrasound. A control group of 198 patients biopsied without prior MRI from January to December 2015 was also analyzed. Results: Prostate biopsy preceded by MRI had a significantly higher probability of detecting both prostate cancer (68.1% vs. 43.6%) and clinically significant cancer (56.2% vs. 29.4%) (p values< 0.01). Combination of systematic biopsy and targeted biopsy outperformed either regimen alone for detection of prostate cancer. Multivariate analysis showed PSA density and prostate imaging reporting and data system score were independent risk factors of prostate cancer. A proposed diagnostic model showed sensitivity of 88.6%, specificity of 55%, PPV of 81.2%, NPV of 68.8%, and accuracy of 78%. Prostate imaging reporting and data system score was correlated with a higher presence of prostate cancer, clinically significant prostate cancer, and a higher pathological grade. Conclusions: Incorporation of pre-biopsy MRI imaging, scoring, and targeted biopsy improved cancer yield and achieved diagnostic performance comparable to newer methods of higher cost. Future alterations of possible benefit included increasing the number of target cores per lesion, and combining prostate imaging reporting and data system score and PSA density as indicators for biopsy.

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.

mpMRI-targeted biopsy versus systematic biopsy for clinically significant prostate cancer diagnosis

2020 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Willy Baccaglini ◽  
Felipe P.A. Glina ◽  
Cristiano L. Pazeto ◽  
Wanderley M. Bernardo ◽  
Rafael Sanchez-Salas
Keyword(s):  
Prostate Cancer ◽  
Cancer Diagnosis ◽  
Targeted Biopsy ◽  
Prostate Cancer Diagnosis ◽  
Clinically Significant ◽  
Systematic Biopsy

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 A Pilot Study of 18F-DCFPyL PET/CT or PET/MRI and Ultrasound Fusion Targeted Prostate Biopsy for Intra-Prostatic PET-Positive Lesions

2021 ◽  
Vol 11 ◽  
Author(s):  
Yachao Liu ◽  
Hongkai Yu ◽  
Jiajin Liu ◽  
Xiaojun Zhang ◽  
Mu Lin ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Targeted Biopsy ◽  
High Detection Rate ◽  
Prostate Biopsies ◽  
Signal Characteristics ◽  
Pet Ct ◽  
High Detection ◽  
Clinically Significant ◽  
Specific Membrane ◽  
Rule Out

ObjectivesThe purpose of this study was to evaluate the feasibility and diagnostic performance of prostate-specific membrane antigen (PSMA) based 18F-DCFPyL PET/CT-ultrasound (PET/CT-US) or PET/MRI-ultrasound (PET/MRI-US) fusion targeted biopsy for intra-prostatic PET-positive lesions.MethodsFrom April 2018 to November 2019, we prospectively enrolled 55 candidates to perform PET/CT-US or PET/MRI-US fusion targeted biopsies for solitary PET-positive prostate lesions (two to four cores/lesion). The positive rates of prostate cancer based on patients and biopsy cores were calculated respectively. With reference to the pathological results of biopsy cores, the MR signal characteristics in the area of the PET-positive lesion were analyzed for the patients who underwent PET/MRI.ResultsA total of 178 biopsy cores were taken on the 55 patients. One hundred forty-six biopsy cores (82.0%, 146/178) from 51 (92.7%, 51/55) patients were positive for prostate cancer; 47 (85.5%, 47/55) were clinically significant prostate cancer. It is noteworthy that nine patients underwent both 18F-DCFPyL PET/CT and PET/MRI examinations; the seven patients with prostate cancer showed abnormal MR signal in the area of the PET-positive lesion while the other two patients with prostatic hyperplasia and prostatitis showed normal MR signal in the area of the PET-positive lesion.ConclusionThis study indicated that 18F-DCFPyL PET/CT-US or PET/MRI-US fusion targeted prostate biopsies may be valuable for prostate cancer diagnosis and have a high detection rate of clinically significant prostate cancer for PET-positive lesions. PET/MR can rule out some false PET-positive lesions, which may potentially reduce unnecessary prostate biopsies.

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.

scholarly journals Clinically significant prostate cancer detection and segmentation in low-risk patients using a convolutional neural network on multi-parametric MRI

2020 ◽  
Vol 30 (12) ◽  
pp. 6582-6592
Author(s):  
Muhammad Arif ◽  
Ivo G. Schoots ◽  
Jose Castillo Tovar ◽  
Chris H. Bangma ◽  
Gabriel P. Krestin ◽  
...  
Keyword(s):  
Neural Network ◽  
Prostate Cancer ◽  
Active Surveillance ◽  
Deep Neural Network ◽  
Low Risk ◽  
Targeted Biopsy ◽  
Risk Patients ◽  
Clinically Significant ◽  
Systematic Biopsy ◽  
Group 1

Abstract Objectives To develop an automatic method for identification and segmentation of clinically significant prostate cancer in low-risk patients and to evaluate the performance in a routine clinical setting. Methods A consecutive cohort (n = 292) from a prospective database of low-risk patients eligible for the active surveillance was selected. A 3-T multi-parametric MRI at 3 months after inclusion was performed. Histopathology from biopsies was used as reference standard. MRI positivity was defined as PI-RADS score ≥ 3, histopathology positivity was defined as ISUP grade ≥ 2. The selected cohort contained four patient groups: (1) MRI-positive targeted biopsy-positive (n = 116), (2) MRI-negative systematic biopsy-negative (n = 55), (3) MRI-positive targeted biopsy-negative (n = 113), (4) MRI-negative systematic biopsy-positive (n = 8). Group 1 was further divided into three sets and a 3D convolutional neural network was trained using different combinations of these sets. Two MRI sequences (T2w, b = 800 DWI) and the ADC map were used as separate input channels for the model. After training, the model was evaluated on the remaining group 1 patients together with the patients of groups 2 and 3 to identify and segment clinically significant prostate cancer. Results The average sensitivity achieved was 82–92% at an average specificity of 43–76% with an area under the curve (AUC) of 0.65 to 0.89 for different lesion volumes ranging from > 0.03 to > 0.5 cc. Conclusions The proposed deep learning computer-aided method yields promising results in identification and segmentation of clinically significant prostate cancer and in confirming low-risk cancer (ISUP grade ≤ 1) in patients on active surveillance. Key Points • Clinically significant prostate cancer identification and segmentation on multi-parametric MRI is feasible in low-risk patients using a deep neural network. • The deep neural network for significant prostate cancer localization performs better for lesions with larger volumes sizes (> 0.5 cc) as compared to small lesions (> 0.03 cc). • For the evaluation of automatic prostate cancer segmentation methods in the active surveillance cohort, the large discordance group (MRI positive, targeted biopsy negative) should be included.

scholarly journals Cognitive mpMRI/TRUS biopsy of the prostate with using strain elastography

2019 ◽  
pp. 100-108
Author(s):  
A. V. Vasilev ◽  
A. V. Mishchenko ◽  
R. A. Kadyrleev ◽  
A. S. Petrova ◽  
A. K. Nosov ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
False Positive ◽  
Detection Rate ◽  
Peripheral Zone ◽  
Additional Parameter ◽  
Gleason Grade ◽  
Targeted Biopsy ◽  
Fusion Biopsy ◽  
Clinically Significant ◽  
Systematic Biopsy

Purpose. To evaluate the effectiveness of prostate cancer detection with method of cognitive mpMRI/TRUS fusion biopsy using strain sonoelastography.Materials and methods. Cognitive transrectal fusion biopsy of prostate was performed in 32 patients. According to the data of a preliminary conducted mpMRI, 33 foci suspicious of prostate cancer were included (PIRADSv2 = 3–5). Before the biopsy, all patients underwent ultrasound planning using compression sonoelastography.Results. The overall sensitivity was 76% for the targeted biopsy, and 49% for systematic biopsy. The number of biopsy specimens with a clinically significant Gleason grade in the targeted biopsy group was 85% of all columns with cancer specimens, in the systematic biopsy group this number was 68%. On average, the Gleason grade after targeted biopsy was 7.5 ± 0.9, and it was 7.2 ± 0.9 in the columns after systematic biopsy. On average, the percentage of tumor in the columns after targeted biopsy was 72% ± 29% and it was 55% ± 35% in the columns after systematic biopsy. The false positive for mpMRI was 15%. The overall sensitivity for the strain sonoelastography was 69% in this study, clinically significant cancer was detected in 71% of all columns with cancer specimens. False positive for elastography was observed in 18% of cases.Conclusion. Comparing with systematic biopsy, cognitive mpMRI / TRUS fusion biopsy can improve the detection rate of clinically significant prostate cancer and reduce the number of detected cases of clinically insignificant cancer. In cases of a total or subtotal tumor lesion in the peripheral zone detected on mpMRI, it is possible to take fewer columns for morphological verification of the tumor. The use of compression sonoelastography as an additional parameter of navigation in cognitive mpMRI/TRUS fusion biopsy can be considered as a promising way to increase the detection rate of clinically significant prostate cancer.

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