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Yu LP, Du YQ, Sun YR, Qin CP, Yang WB, Huang ZX, Xu T. Value of cognitive fusion targeted and standard systematic transrectal prostate biopsy for prostate cancer diagnosis. Asian J Androl 2024:00129336-990000000-00191. [PMID: 38783630 DOI: 10.4103/aja202414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 02/22/2024] [Indexed: 05/25/2024] Open
Abstract
ABSTRACT The aim of this study was to compare the accuracies of cognitive fusion-guided targeted biopsy (TB), systematic biopsy (SB), and combined TB+SB for the detection of prostate cancer (PCa) and clinically significant PCa (csPCa) in males with lesions detected by magnetic resonance imaging (MRI). We conducted a retrospective analysis of individuals who underwent prostate biopsy at Peking University People's Hospital (Beijing, China), with an emphasis on patients with both transrectal TB and SB. The main objective was to determine the precisions of SB, TB, and TB+SB for diagnosing PCa and csPCa. We also evaluated the detection rates of TB, SB, TB+ipsilateral-SB (ipsi-SB), TB+contralateral-SB (contra-SB), and TB+SB for PCa and csPCa in patients with unilateral MRI lesions. We compared the diagnostic yields of the various biopsy schemes using the McNemar's test. A total of 180 patients were enrolled. The rates of PCa detection using TB, SB, and TB+SB were 52.8%, 62.2%, and 66.7%, respectively, and the corresponding rates for csPCa were 46.1%, 56.7%, and 58.3%, respectively. Among patients with unilateral MRI lesions, the PCa detection rates for TB, SB, TB+ipsi-SB, TB+contra-SB, and TB+SB were 53.3%, 64.8%, 65.6%, 61.5%, and 68.0%, respectively. TB+ipsi-SB detected 96.4% of PCa and 95.9% of csPCa cases. These findings suggest that the combination of TB+SB has better diagnostic accuracy compared with SB or TB alone. For patients with unilateral MRI lesions, the combination of TB+ipsi-SB may be suitable in clinical settings.
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Affiliation(s)
- Lu-Ping Yu
- Department of Urology, Peking University People's Hospital, Beijing 100044, China
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2
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Cretì TA, Ragonese M. In-bore MRI targeted biopsy. Lights and shadows. Urologia 2024:3915603241252912. [PMID: 38780162 DOI: 10.1177/03915603241252912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/25/2024]
Abstract
Multiparametric Magnetic Resonance Imaging (MpMRI) and MRI-guided biopsy (MRGB) are the diagnostic gold standard in the management of men with suspicious prostate cancer (PCa). There are not enough studies, yet, that compare TRUS-MRGB, COG-TB and IB-MRGB. Despite IB-MRGB could be more accurate in detecting PCa in smaller lesions and a less operator dependent technique, there are still some concerns regarding high resource costs and the chance of missing lesions not visible at MRI or detected by systematic biopsy.
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Affiliation(s)
- Totaro A Cretì
- Department of Urology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Università Cattolica del Sacro Cuore, Roma, Italy
| | - Mauro Ragonese
- Department of Urology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Università Cattolica del Sacro Cuore, Roma, Italy
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3
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Kaneko M, Medina LG, Lenon MSL, Hemal S, Sayegh AS, Jadvar DS, Ramacciotti LS, Paralkar D, Cacciamani GE, Lebastchi AH, Salhia B, Aron M, Hopstone M, Duddalwar V, Palmer SL, Gill IS, Abreu AL. Transperineal vs transrectal magnetic resonance and ultrasound image fusion prostate biopsy: a pair-matched comparison. Sci Rep 2023; 13:13457. [PMID: 37596374 PMCID: PMC10439224 DOI: 10.1038/s41598-023-40371-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Accepted: 08/09/2023] [Indexed: 08/20/2023] Open
Abstract
The objective of this study was to compare transperineal (TP) versus transrectal (TR) magnetic resonance imaging (MRI) and transrectal ultrasound (TRUS) fusion prostate biopsy (PBx). Consecutive men who underwent prostate MRI followed by a systematic biopsy. Additional target biopsies were performed from Prostate Imaging Reporting & Data System (PIRADS) 3-5 lesions. Men who underwent TP PBx were matched 1:2 with a synchronous cohort undergoing TR PBx by PSA, Prostate volume (PV) and PIRADS score. Endpoint of the study was the detection of clinically significant prostate cancer (CSPCa; Grade Group ≥ 2). Univariate and multivariable analyses were performed. Results were considered statistically significant if p < 0.05. Overall, 504 patients met the inclusion criteria. A total of 168 TP PBx were pair-matched to 336 TR PBx patients. Baseline demographics and imaging characteristics were similar between the groups. Per patient, the CSPCa detection was 2.1% vs 6.3% (p = 0.4) for PIRADS 1-2, and 59% vs 60% (p = 0.9) for PIRADS 3-5, on TP vs TR PBx, respectively. Per lesion, the CSPCa detection for PIRADS 3 (21% vs 16%; p = 0.4), PIRADS 4 (51% vs 44%; p = 0.8) and PIRADS 5 (76% vs 84%; p = 0.3) was similar for TP vs TR PBx, respectively. However, the TP PBx showed a longer maximum cancer core length (11 vs 9 mm; p = 0.02) and higher cancer core involvement (83% vs 65%; p < 0.001) than TR PBx. Independent predictors for CSPCa detection were age, PSA, PV, abnormal digital rectal examination findings, and PIRADS 3-5. Our study demonstrated transperineal MRI/TRUS fusion PBx provides similar CSPCa detection, with larger prostate cancer core length and percent of core involvement, than transrectal PBx.
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Affiliation(s)
- Masatomo Kaneko
- Center for Image-Guided Surgery, Focal Therapy and Artificial Intelligence for Prostate Cancer, USC Institute of Urology, 1441 Eastlake Ave, Suite 7416, Los Angeles, CA, 90089, USA
- Department of Urology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Luis G Medina
- Center for Image-Guided Surgery, Focal Therapy and Artificial Intelligence for Prostate Cancer, USC Institute of Urology, 1441 Eastlake Ave, Suite 7416, Los Angeles, CA, 90089, USA
| | - Maria Sarah L Lenon
- Center for Image-Guided Surgery, Focal Therapy and Artificial Intelligence for Prostate Cancer, USC Institute of Urology, 1441 Eastlake Ave, Suite 7416, Los Angeles, CA, 90089, USA
- Department of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Sij Hemal
- Center for Image-Guided Surgery, Focal Therapy and Artificial Intelligence for Prostate Cancer, USC Institute of Urology, 1441 Eastlake Ave, Suite 7416, Los Angeles, CA, 90089, USA
| | - Aref S Sayegh
- Center for Image-Guided Surgery, Focal Therapy and Artificial Intelligence for Prostate Cancer, USC Institute of Urology, 1441 Eastlake Ave, Suite 7416, Los Angeles, CA, 90089, USA
| | - Donya S Jadvar
- Dornsife School of Letters and Science, University of Southern California, Los Angeles, CA, USA
| | - Lorenzo Storino Ramacciotti
- Center for Image-Guided Surgery, Focal Therapy and Artificial Intelligence for Prostate Cancer, USC Institute of Urology, 1441 Eastlake Ave, Suite 7416, Los Angeles, CA, 90089, USA
| | - Divyangi Paralkar
- Center for Image-Guided Surgery, Focal Therapy and Artificial Intelligence for Prostate Cancer, USC Institute of Urology, 1441 Eastlake Ave, Suite 7416, Los Angeles, CA, 90089, USA
- Department of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Giovanni E Cacciamani
- Center for Image-Guided Surgery, Focal Therapy and Artificial Intelligence for Prostate Cancer, USC Institute of Urology, 1441 Eastlake Ave, Suite 7416, Los Angeles, CA, 90089, USA
- Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Amir H Lebastchi
- Center for Image-Guided Surgery, Focal Therapy and Artificial Intelligence for Prostate Cancer, USC Institute of Urology, 1441 Eastlake Ave, Suite 7416, Los Angeles, CA, 90089, USA
| | - Bodour Salhia
- Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Manju Aron
- Center for Image-Guided Surgery, Focal Therapy and Artificial Intelligence for Prostate Cancer, USC Institute of Urology, 1441 Eastlake Ave, Suite 7416, Los Angeles, CA, 90089, USA
- Department of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Michelle Hopstone
- Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Vinay Duddalwar
- Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Suzanne L Palmer
- Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Inderbir S Gill
- Center for Image-Guided Surgery, Focal Therapy and Artificial Intelligence for Prostate Cancer, USC Institute of Urology, 1441 Eastlake Ave, Suite 7416, Los Angeles, CA, 90089, USA
| | - Andre Luis Abreu
- Center for Image-Guided Surgery, Focal Therapy and Artificial Intelligence for Prostate Cancer, USC Institute of Urology, 1441 Eastlake Ave, Suite 7416, Los Angeles, CA, 90089, USA.
- Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
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Drăgoescu PO, Drocaș AI, Drăgoescu AN, Pădureanu V, Pănuș A, Stănculescu AD, Radu MA, Florescu LM, Gheonea IA, Mirea C, Mitroi G. Transperineal Prostate Biopsy Targeted by Magnetic Resonance Imaging Cognitive Fusion. Diagnostics (Basel) 2023; 13:diagnostics13081373. [PMID: 37189474 DOI: 10.3390/diagnostics13081373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 04/05/2023] [Accepted: 04/07/2023] [Indexed: 05/17/2023] Open
Abstract
Prostate cancer is among the most frequently diagnosed cancers and a leading cause of cancer-related death in men. Currently, the most reliable and widely used imaging test for prostate cancer diagnosis is multiparametric pelvic magnetic resonance imaging (mpMRI). Modern biopsy techniques are based on the computerised merging of ultrasound and MRI images to provide better vision during the biopsy procedure (Fusion Biopsy). However, the method is expensive due to high equipment cost. Cognitive fusion of ultrasound and MRI images has recently emerged as a cheaper and easier alternative to computerised fusion. The aim of this prospective study is to perform an in-patient comparison of the systematic prostate biopsy procedure (SB) vs. cognitive fusion (CF) guided prostate biopsy method in terms of safety, ease of use, cancer detection rate and clinically significant cancer detection. We enrolled 103 patients with suspected prostate cancer that were biopsy naive, with PSA > 4 ng/dL and PIRADS score of 3, 4 or 5. All patients received a transperineal standard 12-18 cores systematic biopsy (SB) and a four-cores targeted cognitive fusion (CF) biopsy. Following the prostate biopsy, 68% of the patients were diagnosed with prostate cancer (70/103 patients). SB diagnosis rate was 62% while CF biopsy was slightly better with a 66% rate. There was a significant 20% increase in clinically significant prostate cancer detection rate for the CF compared to SB (p < 0.05) and a significant prostate cancer risk upgrade from the low to the intermediate risk category (13%, p = 0.041). Transperineal cognitive fusion targeted prostate biopsy is a straightforward biopsy method that is easy to perform and is a safe alternative to standard systematic biopsy with improved significant cancer detection accuracy. A combined targeted and systematic approach should be used for the best diagnostic results.
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Affiliation(s)
| | - Andrei Ioan Drocaș
- Department of Urology, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania
| | - Alice Nicoleta Drăgoescu
- Department of Anesthesiology and Intensive Care, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania
| | - Vlad Pădureanu
- Department of Internal Medicine, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania
| | - Andrei Pănuș
- Department of Urology, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania
| | - Andreea Doriana Stănculescu
- Department of Anesthesiology and Intensive Care, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania
| | - Mihai Alexandru Radu
- Department of Urology, Emergency Clinical County Hospital of Craiova, 200642 Craiova, Romania
| | - Lucian Mihai Florescu
- Department of Radiology and Medical Imaging, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania
| | - Ioana Andreea Gheonea
- Department of Radiology and Medical Imaging, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania
| | - Cecil Mirea
- Department of Surgery, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania
| | - George Mitroi
- Department of Urology, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania
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5
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Hagens MJ, Stelwagen PJ, Veerman H, Rynja SP, Smeenge M, van der Noort V, Roeleveld TA, van Kesteren J, Remmers S, Roobol MJ, van Leeuwen PJ, van der Poel HG. External validation of the Rotterdam prostate cancer risk calculator within a high-risk Dutch clinical cohort. World J Urol 2023; 41:13-18. [PMID: 36245015 DOI: 10.1007/s00345-022-04185-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 10/04/2022] [Indexed: 01/21/2023] Open
Abstract
PURPOSE This study aims to externally validate the Rotterdam Prostate Cancer Risk Calculator (RPCRC)-3/4 and RPCRC-MRI within a Dutch clinical cohort. METHODS Men subjected to prostate biopsies, between 2018 and 2021, due to a clinical suspicion of prostate cancer (PCa) were retrospectively included. The performance of the RPCRC-3/4 and RPCRC-MRI was analyzed in terms of discrimination, calibration and net benefit. In addition, the need for recalibration and adjustment of risk thresholds for referral was investigated. Clinically significant (cs) PCa was defined as Gleason score ≥ 3 + 4. RESULTS A total of 1575 men were included in the analysis. PCa was diagnosed in 63.2% (996/1575) of men and csPCa in 41.7% (656/1575) of men. Use of the RPCRC-3/4 could have prevented 37.3% (587/1575) of all MRIs within this cohort, thereby missing 18.3% (120/656) of csPCa diagnoses. After recalibration and adjustment of risk thresholds to 20% for PCa and 10% for csPCa, use of the recalibrated RPCRC-3/4 could have prevented 15.1% (238/1575) of all MRIs, resulting in 5.3% (35/656) of csPCa diagnoses being missed. The performance of the RPCRC-MRI was good; use of this risk calculator could have prevented 10.7% (169/1575) of all biopsies, resulting in 1.2% (8/656) of csPCa diagnoses being missed. CONCLUSION The RPCRC-3/4 underestimates the probability of having csPCa within this Dutch clinical cohort, resulting in significant numbers of csPCa diagnoses being missed. For optimal performance of a risk calculator in a specific cohort, evaluation of its performance within the population under study is essential.
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Affiliation(s)
- Marinus J Hagens
- Department of Urology, Netherlands Cancer Institute-Antoni Van Leeuwenhoek Hospital (NCI-AVL), Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands. .,Prostate Cancer Network Netherlands, Amsterdam, The Netherlands. .,Department of Urology, Amsterdam University Medical Centers Location VUmc, Amsterdam, The Netherlands.
| | - Piter J Stelwagen
- Department of Urology, Netherlands Cancer Institute-Antoni Van Leeuwenhoek Hospital (NCI-AVL), Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.,Department of Urology, Noordwest Ziekenhuisgroep, Alkmaar, The Netherlands
| | - Hans Veerman
- Department of Urology, Netherlands Cancer Institute-Antoni Van Leeuwenhoek Hospital (NCI-AVL), Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.,Prostate Cancer Network Netherlands, Amsterdam, The Netherlands.,Department of Urology, Amsterdam University Medical Centers Location VUmc, Amsterdam, The Netherlands
| | - Sybren P Rynja
- Prostate Cancer Network Netherlands, Amsterdam, The Netherlands.,Department of Urology, Spaarne Gasthuis, Hoofddorp, The Netherlands
| | - Martijn Smeenge
- Prostate Cancer Network Netherlands, Amsterdam, The Netherlands.,Department of Urology, Hospital St Jansdal, Harderwijk, The Netherlands
| | - Vincent van der Noort
- Department of Statistics, Netherlands Cancer Institute-Antoni Van Leeuwenhoek Hospital (NCI-AVL), Amsterdam, The Netherlands
| | - Ton A Roeleveld
- Prostate Cancer Network Netherlands, Amsterdam, The Netherlands.,Department of Urology, Noordwest Ziekenhuisgroep, Alkmaar, The Netherlands
| | - Jolien van Kesteren
- Department of Urology, Netherlands Cancer Institute-Antoni Van Leeuwenhoek Hospital (NCI-AVL), Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.,Prostate Cancer Network Netherlands, Amsterdam, The Netherlands
| | - Sebastiaan Remmers
- Department of Urology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Monique J Roobol
- Department of Urology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Pim J van Leeuwen
- Department of Urology, Netherlands Cancer Institute-Antoni Van Leeuwenhoek Hospital (NCI-AVL), Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.,Prostate Cancer Network Netherlands, Amsterdam, The Netherlands
| | - Henk G van der Poel
- Department of Urology, Netherlands Cancer Institute-Antoni Van Leeuwenhoek Hospital (NCI-AVL), Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.,Prostate Cancer Network Netherlands, Amsterdam, The Netherlands.,Department of Urology, Amsterdam University Medical Centers Location VUmc, Amsterdam, The Netherlands
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6
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Zhao CC, Rossi JK, Wysock JS. Systematic Review and Meta-Analysis of Free-Hand and Fixed-Arm Spatial Tracking Methodologies in Software-Guided MRI-TRUS Fusion Prostate Biopsy Platforms. Urology 2023; 171:16-22. [PMID: 36243143 DOI: 10.1016/j.urology.2022.09.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 09/20/2022] [Accepted: 09/27/2022] [Indexed: 11/07/2022]
Abstract
OBJECTIVE To evaluate the cancer detection rate (CDR) between the 2 dominant spatial tracking methodologies in software-guided MRI-transrectal ultrasound fusion prostate biopsy (SGF-Bx) platforms: fixed-arm and free-hand. METHODS We conducted a systematic review and meta-analysis on published primary analyses of prospective trials and cohort studies that enrolled biopsy-naïve patients for SFG-Bx. Inclusion criteria included the use of the Prostate Imaging Reporting & Data System (PI-RADS) v2.0 or later and the targeting of lesions graded as PI-RADS 3 or higher. Random effects models were used to assess the overall prostate cancer (PCa) CDR and the clinically significant prostate cancer (csPCa) CDR for both platforms. csPCa was standardized to a definition of Gleason Grade Group 2 or higher when possible. Subgroup analysis was performed by stratifying studies into the average number of cores taken per lesion. RESULTS The PCa CDR was 0.674 for free-hand systems and 0.681 for fixed-arm systems. The csPCa CDR was 0.492 for free-hand systems and 0.500 for fixed-hand systems. There was no significant difference between free-hand and fixed-arm cancer detection rates for both overall PCa (P = .88) and csPCa (P = .90). Subgroup analyses revealed significant PCa CDR and csPCa CDR differences (P < .001) between free-hand and fixed-arm platforms only when 2 cores per lesion were taken, in favor of fixed-arm platforms. CONCLUSIONS Fixed-arm platforms performed similarly in cancer detection to free-hand platforms but show a minor benefit on fewer samples. While tracking methodology differences appear subtle, further investigation into the clinical impact of platform-specific features are warranted.
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Affiliation(s)
- Calvin C Zhao
- Department of Urology, Stanford University School of Medicine, Palo Alto, CA
| | - Juan Kochen Rossi
- Department of Urology, New York University Grossman School of Medicine, New York, NY
| | - James S Wysock
- Department of Urology, New York University Grossman School of Medicine, New York, NY.
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7
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Which men with non-malignant pathology at magnetic resonance imaging-targeted prostate biopsy and persistent PI-RADS 3-5 lesions should repeat biopsy? Urol Oncol 2022; 40:452.e9-452.e16. [DOI: 10.1016/j.urolonc.2022.06.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 06/08/2022] [Accepted: 06/14/2022] [Indexed: 11/16/2022]
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8
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Kaneko M, Lenon MSL, Storino Ramacciotti L, Medina LG, Sayegh AS, La Riva A, Perez LC, Ghoreifi A, Lizana M, Jadvar DS, Lebastchi AH, Cacciamani GE, Abreu AL. Multiparametric ultrasound of prostate: role in prostate cancer diagnosis. Ther Adv Urol 2022; 14:17562872221145625. [PMID: 36601020 PMCID: PMC9806443 DOI: 10.1177/17562872221145625] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 11/25/2022] [Indexed: 12/28/2022] Open
Abstract
Recent advances in ultrasonography (US) technology established modalities, such as Doppler-US, HistoScanning, contrast-enhanced ultrasonography (CEUS), elastography, and micro-ultrasound. The early results of these US modalities have been promising, although there are limitations including the need for specialized equipment, inconsistent results, lack of standardizations, and external validation. In this review, we identified studies evaluating multiparametric ultrasonography (mpUS), the combination of multiple US modalities, for prostate cancer (PCa) diagnosis. In the past 5 years, a growing number of studies have shown that use of mpUS resulted in high PCa and clinically significant prostate cancer (CSPCa) detection performance using radical prostatectomy histology as the reference standard. Recent studies have demonstrated the role mpUS in improving detection of CSPCa and guidance for prostate biopsy and therapy. Furthermore, some aspects including lower costs, real-time imaging, applicability for some patients who have contraindication for magnetic resonance imaging (MRI) and availability in the office setting are clear advantages of mpUS. Interobserver agreement of mpUS was overall low; however, this limitation can be improved using standardized and objective evaluation systems such as the machine learning model. Whether mpUS outperforms MRI is unclear. Multicenter randomized controlled trials directly comparing mpUS and multiparametric MRI are warranted.
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Affiliation(s)
- Masatomo Kaneko
- Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, USC Institute of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Urology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Maria Sarah L. Lenon
- Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, USC Institute of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Lorenzo Storino Ramacciotti
- Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, USC Institute of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Luis G. Medina
- Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, USC Institute of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Aref S. Sayegh
- Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, USC Institute of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Anibal La Riva
- Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, USC Institute of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Laura C. Perez
- Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, USC Institute of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Alireza Ghoreifi
- Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, USC Institute of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Maria Lizana
- Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, USC Institute of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Donya S. Jadvar
- Dornsife School of Letters and Science, University of Southern California, Los Angeles, CA, USA
| | - Amir H. Lebastchi
- Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, USC Institute of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Giovanni E. Cacciamani
- Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, USC Institute of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Andre Luis Abreu
- Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, USC Institute of Urology and Catherine & Joseph Aresty
- Department of Urology, Keck School of Medicine, University of Southern California, 1441 Eastlake Ave, Suite 7416, Los Angeles, CA 90089, USADepartment of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
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9
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Poudel B, Desman J, Aihara G, Weidman DI, Tsang A, Kovrizhkin K, Pereira T, Arun S, Pradeep T, Matin S, Liddell RP. Adequacy of samples obtained via percutaneous core-needle rebiopsy for EGFR T790M molecular analysis in patients with non-small cell lung cancer following acquired resistance to first-line therapy: A systematic review and meta-analysis. Cancer Treat Res Commun 2021; 29:100470. [PMID: 34628209 DOI: 10.1016/j.ctarc.2021.100470] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 09/23/2021] [Accepted: 09/26/2021] [Indexed: 12/23/2022]
Abstract
MICRO ABSTRACT Rebiopsies characterizing resistance mutations in patients with non-small cell lung cancer (NSCLC) can guide personalized medicine and improve overall survival rates. In this systematic review, we examine the suitability of percutaneous core-needle biopsy (PT-CNB) to obtain adequate samples for molecular characterization of the acquired resistance mutation T790M. This review provides evidence that PT-CNB can obtain samples with high adequacy, with a mutation detection rate that is in accordance with prior literature. BACKGROUND Non-small cell lung cancer (NSCLC) comprises 85% of all lung cancers and has seen improved survival rates with the rise of personalized medicine. Resistance mutations to first-line therapies, such as T790M, however, render first-line therapies ineffective. Rebiopsies characterizing resistance mutations inform therapeutic decisions, which result in prolonged survival. Given the high efficacy of percutaneous core-needle biopsy (PT-CNB), we conducted the first systematic review to analyze the ability of PT-CNB to obtain samples of high adequacy in order to characterize the acquired resistance mutation T790M in patients with NSCLC. METHODS We performed a comprehensive literature search across PubMed, Embase, and CENTRAL. Search terms related to "NSCLC," "rebiopsy," and "PT-CNB" were used to obtain results. We included all prospective and retrospective studies that satisfied our inclusion and exclusion criteria. A random effects model was utilized to pool adequacy and detection rates of the chosen articles. We performed a systematic review, meta-analysis, and meta-regression to investigate the adequacy and T790M detection rates of samples obtained via PT-CNB. RESULTS Out of the 173 studies initially identified, 5 studies met the inclusion and exclusion criteria and were chosen for our final cohort of 436 patients for meta-analysis. The pooled adequacy rate of samples obtained via PT-CNB was 86.92% (95% CI: [79.31%, 92.0%]) and the pooled T790M detection rate was 46.0% (95% CI: [26.6%, 66.7%]). There was considerable heterogeneity among studies (I2 > 50%) in both adequacy and T790M detection rates. CONCLUSION PT-CNB can obtain adequate samples for T790M molecular characterization in NSCLC lung cancer patients. Additional prospective studies are needed to corroborate the results in this review.
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Affiliation(s)
- Bibhav Poudel
- Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
| | - Jacob Desman
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States of America
| | - Gohta Aihara
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States of America
| | - Deborah I Weidman
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States of America
| | - Ashley Tsang
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States of America
| | - Katherine Kovrizhkin
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States of America
| | - Tatiana Pereira
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States of America
| | - Siddharth Arun
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States of America
| | - Tejus Pradeep
- Department of Ophthalmology, Hospital of the University of Pennsylvania, Philadelphia, PA, United States of America
| | - Shababa Matin
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States of America
| | - Robert P Liddell
- Department of Radiology and Radiological Science, Johns Hopkins Hospital, Baltimore, MD, United States of America.
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10
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Olivier J, Konety B, Hayne D. TREXIT Is Now: Should We Abandon the Transrectal Route for Biopsy? A Three-continent Debate-No. EUR UROL SUPPL 2021; 31:12-13. [PMID: 34467235 PMCID: PMC8385288 DOI: 10.1016/j.euros.2021.06.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Affiliation(s)
- Jonathan Olivier
- Department of Urology, Lille University, Lille, France.,UMR8161/CNRS, Institut de Biologie de Lille, Lille, France
| | | | - Dickon Hayne
- Fiona Stanley Hospital, Murdoch, Australia.,UWA Medical School, University of Western Australia, Crawley, Australia.,Australian and New Zealand Urogenital and Prostate Cancer Trials Group, Sydney, Australia
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11
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Van Poppel H, Hogenhout R, Albers P, van den Bergh RCN, Barentsz JO, Roobol MJ. A European Model for an Organised Risk-stratified Early Detection Programme for Prostate Cancer. Eur Urol Oncol 2021; 4:731-739. [PMID: 34364829 DOI: 10.1016/j.euo.2021.06.006] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 06/10/2021] [Accepted: 06/23/2021] [Indexed: 11/16/2022]
Abstract
CONTEXT Overdiagnosis as the argument to stop prostate cancer (PCa) screening is less valid since the introduction of new technologies such as risk calculators (RCs) and magnetic resonance imaging (MRI). These new technologies result in fewer unnecessary biopsy procedures and fewer cases of both overdiagnosis and underdetection. Therefore, we can now adequately respond to the growing and urgent need for a structured risk assessment to detect PCa early. OBJECTIVE To provide expert discussion on the existing evidence for a previously published risk-stratified strategy regarding an organised population-based early detection programme for PCa. EVIDENCE ACQUISITION The proposed algorithm for early detection of PCa emerged from expert consensus by the authors based on available evidence derived from a nonsystematic review of the current literature using Medline/PubMed, Cochrane Library database, ClinicalTrials.gov, ISRCTN Registry, and the European Association of Urology guidelines on PCa. EVIDENCE SYNTHESIS Although not confirmed by the highest level of evidence, current literature and guidelines point towards an algorithm for early detection of PCa that starts with risk-based prostate-specific antigen (PSA) testing, followed by multivariable risk stratification with RCs. All men who are classified to be at intermediate and high risk are then offered prostate MRI. The combined data from RCs and MRI results can be used to select men for prostate biopsy. Low-risk men return to a risk-based safety net that includes individualised PSA-interval tests and, if necessary, repeated MRI. Depending on local availability, the use of the different risk stratification tools may be adapted. CONCLUSIONS We present a risk-stratified algorithm for an organised population-based early detection programme for clinically significant PCa. Although the proposed strategy has not yet been analysed prospectively, it exploits and may even improve the most important available benefits of "PSA-only" screening studies, while at the same time reduces unnecessary biopsies and overdiagnosis by using new risk stratification tools. PATIENT SUMMARY This paper presents a personalised strategy that enables selective early detection of prostate cancer by combining prostate-specific antigen (interval) testing' prediction models (risk calculators), and magnetic resonance imaging scans. This will likely lead to reduced prostate cancer-related morbidity and mortality, while reducing the need for prostate biopsy and limiting overdiagnosis.
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Affiliation(s)
- Hendrik Van Poppel
- Department of Development and Regeneration, University Hospital KU Leuven, Leuven, Belgium.
| | - Renée Hogenhout
- Department of Urology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Peter Albers
- Department of Urology, Heinrich-Heine University Medical Faculty, Düsseldorf, Germany; Division of Personalized Early Detection of Prostate Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Jelle O Barentsz
- Department of Medical Imaging, Radboudumc, Nijmegen, The Netherlands
| | - Monique J Roobol
- Department of Urology, Erasmus University Medical Center, Rotterdam, The Netherlands
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