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Hunt TC, Cheng Z, Li A, Pamatmat AJ, Song D, Zhao T, Hollenberg GM, Weinberg EP, Bandari J, Osinski T. The Role of Secondary Lesion Biopsy in Detecting Clinically Significant Prostate Cancer. Prostate 2025; 85:670-676. [PMID: 39991796 DOI: 10.1002/pros.24870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2024] [Revised: 01/24/2025] [Accepted: 01/30/2025] [Indexed: 02/25/2025]
Abstract
BACKGROUND Multiparametric MRI (mpMRI) and fusion-targeted biopsy (TB) have improved the detection of clinically significant prostate cancer (csPCa); however, it remains unclear whether secondary lesions (SLs) identified on mpMRI must also be biopsied in addition to the index lesion (IL). Currently, American Urological Association and European Association of Urology guidelines suggest biopsying all lesions, but supporting data are sparse. This study examines whether including SL biopsies provides additional value in csPCa detection compared to IL biopsy alone when systematic biopsy (SB) is also performed. METHODS Men with multiple PI-RADS ≥ 3 lesions on mpMRI who underwent prostate biopsy were retrospectively identified. The primary analysis compared csPCa detection rates from SB and IL TB, with or without SL TB. Secondary analyses assessed the impact of prostate-specific antigen (PSA) density and SL PI-RADS scores on csPCa detection. Sensitivity analyses were performed to investigate the robustness of findings. RESULTS Among 73 men, csPCa detection rate was 47% with SB and IL biopsy alone and improved to 52% with SL biopsies included (p = 0.62). Secondary analyses showed no significant differences in csPCa detection based on PSA density or SL PI-RADS scores. Two of three sensitivity analyses supported the primary findings. CONCLUSIONS Biopsying SLs does not significantly increase csPCa detection rates compared to IL biopsy alone when SB is also performed. This supports the notion that SL biopsies can be safely omitted without compromising clinical outcomes, thereby potentially reducing patient discomfort and procedural costs, and may inform future guideline development and revisions.
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Affiliation(s)
- Trevor C Hunt
- Department of Urology, University of Rochester Medical Center, Rochester, New York, USA
| | - Zijing Cheng
- Department of Urology, University of Rochester Medical Center, Rochester, New York, USA
- Department of Health Services Research and Policy, University of Rochester Medical Center, Rochester, New York, USA
| | - Ashley Li
- Department of Urology, University of Rochester Medical Center, Rochester, New York, USA
| | - Anthony J Pamatmat
- School of Medicine and Dentistry, University of Rochester, Rochester, New York, USA
| | - David Song
- School of Medicine and Dentistry, University of Rochester, Rochester, New York, USA
| | - Tony Zhao
- College of Medicine, Northeast Ohio Medical University, Rootstown, Ohio, USA
| | - Gary M Hollenberg
- Department of Radiology and Imaging Sciences, University of Rochester Medical Center, Rochester, New York, USA
| | - Eric P Weinberg
- Department of Radiology and Imaging Sciences, University of Rochester Medical Center, Rochester, New York, USA
| | - Jathin Bandari
- Department of Urology, University of Rochester Medical Center, Rochester, New York, USA
| | - Thomas Osinski
- Department of Urology, University of Rochester Medical Center, Rochester, New York, USA
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Dhir A, Ellimoottil CS, Qi J, Zhu A, Wang RS, Montgomery JS, Salami SS, Wei JT, Shankar PR, Davenport MS, Curci NE, Millet JD, Wu CY, Johnson A, Miller DC, George AK. Intra-practice Urologist-level Variation in Targeted Fusion Biopsy Outcomes. Urology 2023; 177:122-127. [PMID: 37121355 DOI: 10.1016/j.urology.2023.04.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 04/13/2023] [Accepted: 04/18/2023] [Indexed: 05/02/2023]
Abstract
OBJECTIVE To examine the extent to which the urologist performing biopsy contributes to variation in prostate cancer detection during fusion-guided prostate biopsy. METHODS All men in the Michigan Urological Surgery Improvement Collaborative (MUSIC) clinical registry who underwent fusion biopsy at Michigan Medicine from August 2017 to March 2019 were included. The primary outcomes were clinically significant cancer detection rate (defined as Gleason Grade ≥2) in targeted cores and clinically significant cancer detection on targeted cores stratified by PI-RADS score. Bivariate and multivariable logistic regression analyses were performed. RESULTS A total of 1133 fusion biopsies performed by 5 providers were included. When adjusting for patient age, PSA, race, family history, prostate volume, clinical stage, and PI-RADS score, there was no significant difference in targeted clinically significant cancer detection rates across providers (range = 38.5%-46.9%, adjusted P-value = .575). Clinically significant cancer detection rates ranged from 11.1% to 16.7% in PI-RADS 3 (unadjusted P = .838), from 24.6% to 43.4% in PI-RADS 4 (adjusted P = .003), and from 69.4% to 78.8% in PI-RADS 5 (adjusted P = .766) lesions. CONCLUSION There was a statistically significant difference in clinically significant prostate cancer detection in PI-RADS 4 lesions across providers. These findings suggest that even among experienced providers, variation at the urologist level may contribute to differences in clinically significant cancer detection rates within PI-RADS 4 lesions. However, the relative impact of biopsy technique, radiologist interpretation, and MR acquisition protocol requires further study.
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Affiliation(s)
- Apoorv Dhir
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI; Dow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor, MI
| | - Chad S Ellimoottil
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI; Dow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor, MI
| | - Ji Qi
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI; Dow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor, MI
| | - Alex Zhu
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI; Dow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor, MI
| | - Robert S Wang
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI; Dow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor, MI
| | - Jeffrey S Montgomery
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI; Dow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor, MI
| | - Simpa S Salami
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI; Dow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor, MI
| | - John T Wei
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI; Dow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor, MI
| | - Prasad R Shankar
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI; Michigan Medicine, Department of Radiology, University of Michigan, Ann Arbor, MI
| | - Matthew S Davenport
- Dow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor, MI; Michigan Medicine, Department of Radiology, University of Michigan, Ann Arbor, MI
| | - Nicole E Curci
- Michigan Medicine, Department of Radiology, University of Michigan, Ann Arbor, MI
| | - John D Millet
- Michigan Medicine, Department of Radiology, University of Michigan, Ann Arbor, MI
| | - Chen-Yu Wu
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI; Dow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor, MI
| | - Anna Johnson
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI; Dow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor, MI
| | - David C Miller
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI; Dow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor, MI
| | - Arvin K George
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI; Dow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor, MI.
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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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