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Zabihollahy F, Naim S, Wibulpolprasert P, Reiter RE, Raman SS, Sung K. Understanding Spatial Correlation Between Multiparametric MRI Performance and Prostate Cancer. J Magn Reson Imaging 2024; 60:2184-2195. [PMID: 38345143 PMCID: PMC11317542 DOI: 10.1002/jmri.29287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 01/25/2024] [Accepted: 01/25/2024] [Indexed: 10/11/2024] Open
Abstract
BACKGROUND Multiparametric MRI (mpMRI) has shown a substantial impact on prostate cancer (PCa) diagnosis. However, the understanding of the spatial correlation between mpMRI performance and PCa location is still limited. PURPOSE To investigate the association between mpMRI performance and tumor spatial location within the prostate using a prostate sector map, described by Prostate Imaging Reporting and Data System (PI-RADS) v2.1. STUDY TYPE Retrospective. SUBJECTS One thousand one hundred forty-three men who underwent mpMRI before radical prostatectomy between 2010 and 2022. FIELD STRENGTH/SEQUENCE 3.0 T. T2-weighted turbo spin-echo, a single-shot spin-echo EPI sequence for diffusion-weighted imaging, and a gradient echo sequence for dynamic contrast-enhanced MRI sequences. ASSESSMENT Integrated relative cancer prevalence (rCP), detection rate (DR), and positive predictive value (PPV) maps corresponding to the prostate sector map for PCa lesions were created. The relationship between tumor location and its detection/missing by radiologists on mpMRI compared to WMHP as a reference standard was investigated. STATISTICAL TESTS A weighted chi-square test was performed to examine the statistical differences for rCP, DR, and PPV of the aggregated sectors within the zone, anterior/posterior, left/right prostate, and different levels of the prostate with a statistically significant level of 0.05. RESULTS A total of 1665 PCa lesions were identified in 1143 patients, and from those 1060 lesions were clinically significant (cs)PCa tumors (any Gleason score [GS] ≥7). Our sector-based analysis utilizing weighted chi-square tests suggested that the left posterior part of PZ had a high likelihood of missing csPCa lesions at a DR of 67.0%. Aggregated sector analysis indicated that the anterior or apex locations in PZ had the significantly lowest csPCa detection at 67.3% and 71.5%, respectively. DATA CONCLUSION Spatial characteristics of the per-lesion-based mpMRI performance for diagnosis of PCa were studied. Our results demonstrated that there is a spatial correlation between mpMRI performance and locations of PCa on the prostate. EVIDENCE LEVEL 4 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Fatemeh Zabihollahy
- Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States
| | - Sohaib Naim
- Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States
- Physics, Biology in Medicine Interdisciplinary Program (IDP), David Geffen School of Medicine at UCLA, Los Angeles, CA, United States
| | - Pornphan Wibulpolprasert
- Department of Diagnostic and Therapeutic Radiology, Faculty of Medicine, Ramathibodi Hospital, 270 Rama VI Rd, Bangkok, Thailand 10400
| | - Robert E. Reiter
- Department of Urology, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States
| | - Steven S. Raman
- Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States
| | - Kyunghyun Sung
- Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States
- Physics, Biology in Medicine Interdisciplinary Program (IDP), David Geffen School of Medicine at UCLA, Los Angeles, CA, United States
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Zhu M, Sali R, Baba F, Khasawneh H, Ryndin M, Leveillee RJ, Hurwitz MD, Lui K, Dixon C, Zhang DY. Artificial intelligence in pathologic diagnosis, prognosis and prediction of prostate cancer. AMERICAN JOURNAL OF CLINICAL AND EXPERIMENTAL UROLOGY 2024; 12:200-215. [PMID: 39308594 PMCID: PMC11411179 DOI: 10.62347/jsae9732] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/12/2024] [Accepted: 08/19/2024] [Indexed: 09/25/2024]
Abstract
Histopathology, which is the gold-standard for prostate cancer diagnosis, faces significant challenges. With prostate cancer ranking among the most common cancers in the United States and worldwide, pathologists experience an increased number for prostate biopsies. At the same time, precise pathological assessment and classification are necessary for risk stratification and treatment decisions in prostate cancer care, adding to the challenge to pathologists. Recent advancement in digital pathology makes artificial intelligence and learning tools adopted in histopathology feasible. In this review, we introduce the concept of AI and its various techniques in the field of histopathology. We summarize the clinical applications of AI pathology for prostate cancer, including pathological diagnosis, grading, prognosis evaluation, and treatment options. We also discuss how AI applications can be integrated into the routine pathology workflow. With these rapid advancements, it is evident that AI applications in prostate cancer go beyond the initial goal of being tools for diagnosis and grading. Instead, pathologists can provide additional information to improve long-term patient outcomes by assessing detailed histopathologic features at pixel level using digital pathology and AI. Our review not only provides a comprehensive summary of the existing research but also offers insights for future advancements.
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Affiliation(s)
- Min Zhu
- Department of Computational Pathology, NovinoAI1443 NE 4th Ave, Fort Lauderdale, FL 33304, USA
| | - Rasoul Sali
- Department of Computational Pathology, NovinoAI1443 NE 4th Ave, Fort Lauderdale, FL 33304, USA
- Department of Radiation Oncology, Stanford University School of MedicineStanford, CA 94305, USA
| | - Firas Baba
- Department of Computational Pathology, NovinoAI1443 NE 4th Ave, Fort Lauderdale, FL 33304, USA
| | - Hamdi Khasawneh
- King Hussein School of Computing Sciences, Princess Sumaya University for TechnologyAmman 11855, Jordan
| | - Michelle Ryndin
- College of Agriculture and Life Sciences, Cornell University616 Thurston Ave, Ithaca, NY 14853, USA
| | - Raymond J Leveillee
- Department of Surgery, Florida Atlantic University, Division of Urology, Bethesda Hospital East, Baptist Health South Florida2800 S. Seacrest Drive, Boynton Beach, FL 33435, USA
| | - Mark D Hurwitz
- Department of Radiation Medicine, New York Medical College and Westchester Medical CenterValhalla, NY 10595, USA
| | - Kin Lui
- Department of Urology, Mount Sinai HospitalNew York, NY 10029, USA
| | - Christopher Dixon
- Department of Urology, Good Samaritan Hospital, Westchester Medical Center Health NetworkSuffern, NY 10901, USA
| | - David Y Zhang
- Department of Computational Pathology, NovinoAI1443 NE 4th Ave, Fort Lauderdale, FL 33304, USA
- Pathology and Laboratory Services, Department of Veterans Affairs New York Harbor Healthcare SystemNew York, NY 10010, USA
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Shen X, Kane K, Katz AJ, Usinger D, Cao Y, Chen RC. Differences in Rural Versus Urban Patients With Prostate Cancer in Diagnosis and Treatment: An Analysis of a Population-Based Cohort. JCO Oncol Pract 2024; 20:1109-1114. [PMID: 38739876 DOI: 10.1200/op.23.00547] [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: 08/29/2023] [Revised: 03/12/2024] [Accepted: 03/27/2024] [Indexed: 05/16/2024] Open
Abstract
PURPOSE Patients living in rural communities have greater barriers to cancer care and poorer outcomes. We hypothesized that rural patients with prostate cancer have less access and receive different treatments compared with urban patients. METHODS We used a population-based prospective cohort, the North Carolina Prostate Cancer Comparative Effectiveness and Survivorship Study, to compare differences in prostate cancer diagnosis, access to care, and treatment in patients by geographic residence. The 2013 rural-urban continuum code (RUCC) was used to determine urban (RUCC 1-3) versus rural (RUCC 4-9) location of residence. RESULTS Patients with rural residence comprised 25% of the cohort (364 of 1,444); they were less likely to be White race and had lower income and educational attainment. Rural patients were more likely to have <12 cores on biopsy (47.1% v 35.7%; P < .001) and less likely (40.8% v 47.6%; P = .04) to receive multidisciplinary consultation. We observed significant differences in treatment between urban and rural patients, including rural patients receiving less active surveillance or observation (22.6% v 28.7%), especially in low-risk cancer (33.2% v 40.7%). On multivariable analysis that adjusted for patient and diagnostic factors, rural residence was associated with less use of active surveillance or observation over radical treatment (ie, surgery or radiation therapy; odds ratio, 0.49 v urban; P < .001) in patients with low-risk cancer. CONCLUSION Patients with prostate cancer who live in rural versus urban areas experience several differences in care that are likely clinically meaningful, including fewer cores in the diagnostic biopsy, less utilization of multidisciplinary consultation, less use of active surveillance, or observation for low-risk disease. Future studies are needed to assess the efficacy of interventions in mitigating these disparities.
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Affiliation(s)
- Xinglei Shen
- Department of Radiation Oncology, University of Kansas Medical Center, Kansas City, KS
| | - Katelyn Kane
- Department of Radiation Oncology, University of Kansas Medical Center, Kansas City, KS
| | - Aaron J Katz
- Department of Radiation Oncology, University of Kansas Medical Center, Kansas City, KS
| | - Deborah Usinger
- Department of Urology, University of North Carolina-Lineberger Comprehensive Cancer Center, Chapel Hill, NC
| | - Ying Cao
- Department of Radiation Oncology, University of Kansas Medical Center, Kansas City, KS
| | - Ronald C Chen
- Department of Radiation Oncology, University of Kansas Medical Center, Kansas City, KS
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Newcomb LF, Schenk JM, Zheng Y, Liu M, Zhu K, Brooks JD, Carroll PR, Dash A, de la Calle CM, Ellis WJ, Filson CP, Gleave ME, Liss MA, Martin F, McKenney JK, Morgan TM, Tretiakova MS, Wagner AA, Nelson PS, Lin DW. Long-Term Outcomes in Patients Using Protocol-Directed Active Surveillance for Prostate Cancer. JAMA 2024; 331:2084-2093. [PMID: 38814624 PMCID: PMC11140579 DOI: 10.1001/jama.2024.6695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Accepted: 04/01/2024] [Indexed: 05/31/2024]
Abstract
Importance Outcomes from protocol-directed active surveillance for favorable-risk prostate cancers are needed to support decision-making. Objective To characterize the long-term oncological outcomes of patients receiving active surveillance in a multicenter, protocol-directed cohort. Design, Setting, and Participants The Canary Prostate Active Surveillance Study (PASS) is a prospective cohort study initiated in 2008. A cohort of 2155 men with favorable-risk prostate cancer and no prior treatment were enrolled at 10 North American centers through August 2022. Exposure Active surveillance for prostate cancer. Main Outcomes and Measures Cumulative incidence of biopsy grade reclassification, treatment, metastasis, prostate cancer mortality, overall mortality, and recurrence after treatment in patients treated after the first or subsequent surveillance biopsies. Results Among 2155 patients with localized prostate cancer, the median follow-up was 7.2 years, median age was 63 years, 83% were White, 7% were Black, 90% were diagnosed with grade group 1 cancer, and median prostate-specific antigen (PSA) was 5.2 ng/mL. Ten years after diagnosis, the incidence of biopsy grade reclassification and treatment were 43% (95% CI, 40%-45%) and 49% (95% CI, 47%-52%), respectively. There were 425 and 396 patients treated after confirmatory or subsequent surveillance biopsies (median of 1.5 and 4.6 years after diagnosis, respectively) and the 5-year rates of recurrence were 11% (95% CI, 7%-15%) and 8% (95% CI, 5%-11%), respectively. Progression to metastatic cancer occurred in 21 participants and there were 3 prostate cancer-related deaths. The estimated rates of metastasis or prostate cancer-specific mortality at 10 years after diagnosis were 1.4% (95% CI, 0.7%-2%) and 0.1% (95% CI, 0%-0.4%), respectively; overall mortality in the same time period was 5.1% (95% CI, 3.8%-6.4%). Conclusions and Relevance In this study, 10 years after diagnosis, 49% of men remained free of progression or treatment, less than 2% developed metastatic disease, and less than 1% died of their disease. Later progression and treatment during surveillance were not associated with worse outcomes. These results demonstrate active surveillance as an effective management strategy for patients diagnosed with favorable-risk prostate cancer.
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Affiliation(s)
- Lisa F. Newcomb
- Cancer Prevention Program, Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington
- Department of Urology, University of Washington, Seattle
| | - Jeannette M. Schenk
- Cancer Prevention Program, Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Yingye Zheng
- Biostatistics Program, Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Menghan Liu
- Biostatistics Program, Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Kehao Zhu
- Biostatistics Program, Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington
| | - James D. Brooks
- Department of Urology, Stanford University, Stanford, California
| | - Peter R. Carroll
- Department of Urology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco
| | - Atreya Dash
- Department of Urology, Veterans Affairs Puget Sound Health Care System, Seattle, Washington
| | | | | | - Christopher P. Filson
- Department of Urology, Emory University School of Medicine, Atlanta, Georgia
- Department of Urology, Kaiser Permanente, Los Angeles, California
| | - Martin E. Gleave
- Department of Urologic Sciences, University of British Columbia, Vancouver, British Columbia, Canada
| | - Michael A. Liss
- Department of Urology, University of Texas Health Sciences Center, San Antonio
| | - Frances Martin
- Department of Urology, Eastern Virginia Medical School, Virginia Beach
| | - Jesse K. McKenney
- Robert J. Tomsich Pathology & Laboratory Medicine Institute, Cleveland Clinic, Cleveland, Ohio
| | - Todd M. Morgan
- Department of Urology, University of Michigan, Ann Arbor
| | | | - Andrew A. Wagner
- Division of Urology, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Peter S. Nelson
- Division of Human Biology, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Daniel W. Lin
- Cancer Prevention Program, Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington
- Department of Urology, University of Washington, Seattle
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Huang J, He C, Xu P, Song B, Zhao H, Yin B, He M, Lu X, Wu J, Wang H. Development and validation of a clinical-radiomics model for prediction of prostate cancer: a multicenter study. World J Urol 2024; 42:275. [PMID: 38689190 DOI: 10.1007/s00345-024-04995-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Accepted: 04/11/2024] [Indexed: 05/02/2024] Open
Abstract
PURPOSE To develop an early diagnosis model of prostate cancer based on clinical-radiomics to improve the accuracy of imaging diagnosis of prostate cancer. METHODS The multicenter study enrolled a total of 449 patients with prostate cancer from December 2017 to January 2022. We retrospectively collected information from 342 patients who underwent prostate biopsy at Minhang Hospital. We extracted T2WI images through 3D-Slice, and used mask tools to mark the prostate area manually. The radiomics features were extracted by Python using the "Pyradiomics" module. Least Absolute Shrinkage and Selection Operator (LASSO) regression was used for data dimensionality reduction and feature selection, and the radiomics score was calculated according to the correlation coefficients. Multivariate logistic regression analysis was used to develop predictive models. We incorporated the radiomics score, PI-RADS, and clinical features, and this was presented as a nomogram. The model was validated using a cohort of 107 patients from the Xuhui Hospital. RESULTS In total, 110 effective radiomics features were extracted. Finally, 9 features were significantly associated with the diagnosis of prostate cancer, from which we calculated the radiomics score. The predictors contained in the individualized prediction nomogram included age, fPSA/tPSA, PI-RADS, and radiomics score. The clinical-radiomics model showed good discrimination in the validation cohort (C-index = 0.88). CONCLUSION This study presents a clinical-radiomics model that incorporates age, fPSA/PSA, PI-RADS, and radiomics score, which can be conveniently used to facilitate individualized prediction of prostate cancer before prostate biopsy.
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Affiliation(s)
- Jiaqi Huang
- Department of Urology, Minhang Hospital, Fudan University, Shanghai, China
| | - Chang He
- Department of Urology, Minhang Hospital, Fudan University, Shanghai, China
| | - Peirong Xu
- Department of Urology, Zhongshan-Xuhui Hospital, Fudan University, Shanghai, China
- Department of Urology, Zhongshan Hospital, Fudan University, 180th Fengling Rd, Xuhui District, Shanghai, 200032, China
| | - Bin Song
- Department of Radiology, Minhang Hospital, Fudan University, Shanghai, China
| | - Hainan Zhao
- Department of Radiology, Minhang Hospital, Fudan University, Shanghai, China
| | - Bingde Yin
- Department of Urology, Minhang Hospital, Fudan University, Shanghai, China
| | - Minke He
- Department of Urology, Minhang Hospital, Fudan University, Shanghai, China
| | - Xuwei Lu
- Department of Urology, Minhang Hospital, Fudan University, Shanghai, China
| | - Jiawen Wu
- Department of Urology, Minhang Hospital, Fudan University, Shanghai, China
| | - Hang Wang
- Department of Urology, Zhongshan Hospital, Fudan University, 180th Fengling Rd, Xuhui District, Shanghai, 200032, China.
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Cheng T, Li H. Prediction of Gleason score in prostate cancer patients based on radiomic features of transrectal ultrasound images. Br J Radiol 2024; 97:415-421. [PMID: 38308030 DOI: 10.1093/bjr/tqad036] [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: 06/30/2023] [Revised: 10/20/2023] [Accepted: 11/20/2023] [Indexed: 02/04/2024] Open
Abstract
OBJECTIVES The aim of this study was to develop a model for predicting the Gleason score of patients with prostate cancer based on ultrasound images. METHODS Transrectal ultrasound images of 838 prostate cancer patients from The Cancer Imaging Archive database were included in this cross-section study. Data were randomly divided into the training set and testing set (ratio 7:3). A total of 103 radiomic features were extracted from the ultrasound image. Lasso regression was used to select radiomic features. Random forest and broad learning system (BLS) methods were utilized to develop the model. The area under the curve (AUC) was calculated to evaluate the model performance. RESULTS After the screening, 10 radiomic features were selected. The AUC and accuracy of the radiomic feature variables random forest model in the testing set were 0.727 (95% CI, 0.694-0.760) and 0.646 (95% CI, 0.620-0.673), respectively. When PSA and radiomic feature variables were included in the random forest model, the AUC and accuracy of the model were 0.770 (95% CI, 0.740-0.800) and 0.713 (95% CI, 0.688-0.738), respectively. While the BLS method was utilized to construct the model, the AUC and accuracy of the model were 0.726 (95% CI, 0.693-0.759) and 0.698 (95% CI, 0.673-0.723), respectively. In predictions for different Gleason grades, the highest AUC of 0.847 (95% CI, 0.749-0.945) was found to predict Gleason grade 5 (Gleason score ≥9). CONCLUSIONS A model based on transrectal ultrasound image features showed a good ability to predict Gleason scores in prostate cancer patients. ADVANCES IN KNOWLEDGE This study used ultrasound-based radiomics to predict the Gleason score of patients with prostate cancer.
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Affiliation(s)
- Tao Cheng
- Department of Ultrasound, Changzhou Tumor Hospital, Changzhou 213000, China
| | - Huiming Li
- Department of Ultrasound, Changzhou Tumor Hospital, Changzhou 213000, China
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Kwon HJ, Rhew SA, Yoon CE, Shin D, Bang S, Park YH, Cho HJ, Ha US, Hong SH, Lee JY, Kim SW, Moon HW. Comparing 12-core and 20-core biopsy for prostate cancer diagnosis with transperineal MR/US fusion biopsy: assessing the effective number of systemic cores using propensity score matching. Int Urol Nephrol 2023; 55:2465-2471. [PMID: 37340208 PMCID: PMC10499967 DOI: 10.1007/s11255-023-03674-2] [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: 05/10/2023] [Accepted: 06/12/2023] [Indexed: 06/22/2023]
Abstract
PURPOSE For transperineal (TP) prostate biopsy, target biopsy for visible lesions on MRI is important, but there is no consensus of the number of systemic biopsy cores. Our study aimed to confirm the diagnostic efficiency of 20-core systemic biopsy by comparison with 12-core using propensity score matching (PSM). METHODS The 494 patients conducted the naive TP biopsy were retrospectively analyzed. There were 293 patients with 12-core biopsy and 201 patients with 20-core biopsy. PSM was performed for minimizing confounding variables, and the established effects' value was analyzed for 'index-positive or negative' clinically significant prostate cancer (csPCa) (Index means PIRADS Score ≥ 3 on multiparametric prostate MRI). RESULTS At 12-core biopsy, there were 126 cases of prostate cancer (43.0%), and 97 cases of csPCa (33.1%). At 20-core biopsy, there were 91 cases (45.3%) and 63 cases (31.3%). After propensity score matching, for index-negative csPCa, the estimated odds ratio was 4.03 (95% CI 1.35-12.09, p value 0.0128), and for index-positive csPCa, the estimated odds ratio was 0.98 (95% CI 0.63-1.52, p value 0.9308). CONCLUSIONS The 20-core biopsy did not show a higher detection rate for csPCa in comparison with the 12-core biopsy. However, when MRI did not show a suspicious lesion, 20-core biopsy showed higher odd ratio in comparison with 12-core biopsy. Therefore, if there is a suspicious lesion in MRI, 20-core biopsy is excessive and 12-core biopsy is sufficient. Whereas if there is no suspicious lesion in MRI, it is better to proceed with 20-core biopsy.
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Affiliation(s)
- Hyeok Jae Kwon
- Department of Urology, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, 222, Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea
| | - Seung Ah Rhew
- Department of Urology, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, 222, Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea
| | - Chang Eil Yoon
- Department of Urology, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, 222, Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea
| | - Dongho Shin
- Department of Urology, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, 222, Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea
| | - Seokhwan Bang
- Department of Urology, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, 222, Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea
| | - Yong Hyun Park
- Department of Urology, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, 222, Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea
| | - Hyuk Jin Cho
- Department of Urology, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, 222, Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea
| | - U-Syn Ha
- Department of Urology, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, 222, Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea
| | - Sung-Hoo Hong
- Department of Urology, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, 222, Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea
| | - Ji Youl Lee
- Department of Urology, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, 222, Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea
| | - Sae Woong Kim
- Department of Urology, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, 222, Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea
| | - Hyong Woo Moon
- Department of Urology, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, 222, Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea.
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Koopaei S, Fathi Kazerooni A, Ghafoori M, Alviri M, Pashaei F, Saligheh Rad H. Quantification of Multi-Parametric Magnetic Resonance Imaging Based on Radiomics Analysis for Differentiation of Benign and Malignant Lesions of Prostate. J Biomed Phys Eng 2023; 13:251-260. [PMID: 37312887 PMCID: PMC10258207 DOI: 10.31661/jbpe.v0i0.2008-1158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2020] [Accepted: 10/28/2020] [Indexed: 06/15/2023]
Abstract
Background The most common cancer (non-cutaneous) malignancy among men is prostate cancer. Management of prostate cancer, including staging and treatment, playing an important role in decreasing mortality rates. Among all current diagnostic tools, multiparametric MRI (mp-MRI) has shown high potential in localizing and staging prostate cancer. Quantification of mp-MRI helps to decrease the dependency of diagnosis on readers' opinions. Objective The aim of this research is to set a method based on quantification of mp-MRI images for discrimination between benign and malignant prostatic lesions with fusion-guided MR imaging/transrectal ultrasonography biopsy as a pathology validation reference. Material and Methods It is an analytical research that 27 patients underwent the mp-MRI examination, including T1- and T2- weighted and diffusion weighted imaging (DWI). Quantification was done by calculating radiomic features from mp-MRI images. Receiver-operating-characteristic curve was done for each feature to evaluate the discriminatory capacity and linear discriminant analysis (LDA) and leave-one-out cross-validation for feature filtering to estimate the sensitivity, specificity and accuracy of the benign and malignant lesion differentiation process is used. Results An accuracy, sensitivity and specificity of 92.6%, 95.2% and 83.3%, respectively, were achieved from a subset of radiomics features obtained from T2-weighted images and apparent diffusion coefficient (ADC) maps for distinguishing benign and malignant prostate lesions. Conclusion Quantification of mp-MRI (T2-weighted images and ADC-maps) based on radiomics feature has potential to distinguish benign with appropriate accuracy from malignant prostate lesions. This technique is helpful in preventing needless biopsies in patients and provides an assisted diagnosis for classifications of prostate lesions.
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Affiliation(s)
- Soheila Koopaei
- Quantitative MR Imaging and Spectroscopy Group, Research Center for Molecular and Cellular Imaging, Institute for Advanced Medical Technologies, Imam Hospital, Tehran, Iran
- Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Science Tehran, Iran
| | - Anahita Fathi Kazerooni
- Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Science Tehran, Iran
| | - Mahyar Ghafoori
- Department of Radiology, Hazrat Rasoul Akram University Hospital, Tehran, Iran
| | - Mohamadreza Alviri
- Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Science Tehran, Iran
| | - Fakhereh Pashaei
- Quantitative MR Imaging and Spectroscopy Group, Research Center for Molecular and Cellular Imaging, Institute for Advanced Medical Technologies, Imam Hospital, Tehran, Iran
- Radiation Sciences Research Center (RSRC), Aja University of Medical Sciences, Tehran, Iran
| | - Hamidreza Saligheh Rad
- Quantitative MR Imaging and Spectroscopy Group, Research Center for Molecular and Cellular Imaging, Institute for Advanced Medical Technologies, Imam Hospital, Tehran, Iran
- Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Science Tehran, Iran
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9
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Haider M, Mahtani AU, Botrus B, Kenne FM, Master MF. Metastatic prostate cancer presenting as a posterior mediastinal mass: A rare presentation. Clin Case Rep 2023; 11:e7107. [PMID: 36968347 PMCID: PMC10032036 DOI: 10.1002/ccr3.7107] [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: 09/13/2022] [Revised: 02/13/2023] [Accepted: 03/01/2023] [Indexed: 03/24/2023] Open
Abstract
A 68-year-old African American male presented to the emergency department with back and abdominal pain. Imaging showed a posterior mediastinal mass interposed between the carina, the left main stem bronchus, and the descending thoracic aorta. Biopsy of the mass favored a metastatic prostate carcinoma, which is an extremely rare presentation.
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Affiliation(s)
- Muhammad Haider
- Department of MedicineRichmond University Medical Center/Mount SinaiNew YorkNew YorkUSA
| | - Arun Umesh Mahtani
- Department of MedicineRichmond University Medical Center/Mount SinaiNew YorkNew YorkUSA
| | - Bachar Botrus
- Department of MedicineRichmond University Medical Center/Mount SinaiNew YorkNew YorkUSA
| | - Foma Munoh Kenne
- Department of Hematology/OncologyRichmond University Medical Center/Mount SinaiNew YorkNew YorkUSA
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10
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Cheng X, Chen Y, Xu H, Ye L, Tong S, Li H, Zhang T, Tian S, Qi J, Zeng H, Yao J, Song B. Avoiding Unnecessary Systematic Biopsy in Clinically Significant Prostate Cancer: Comparison Between MRI-Based Radiomics Model and PI-RADS Category. J Magn Reson Imaging 2023; 57:578-586. [PMID: 35852438 DOI: 10.1002/jmri.28333] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 06/15/2022] [Accepted: 06/16/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND MRI-targeted biopsy (MRTB) improves the clinically significant prostate cancer (csPCa) detection rate with fewer biopsy cores in men with suspected PCa. However, whether concurrent systematic biopsy (SB) can be avoided in patients undergoing MRTB remains unclear. PURPOSE To evaluate the potential value of MRI-based radiomics models in avoiding unnecessary SB in biopsy-naïve patients. STUDY TYPE Retrospective. POPULATION A total of 226 patients (mean age 66.6 ± 9.02 years) with suspicion of PCa (PI-RADS score ≥ 3) and received combined cognitive MRTB with SB were retrospectively recruited and randomly divided into training (N = 180) and test (N = 46) cohorts at an 8:2 ratio. FIELD STRENGTH/SEQUENCE A 3.0 T, biparametric MRI (bpMRI) including T2-weighted imaging (T2WI) and apparent diffusion coefficient (ADC) map. ASSESSMENT The whole prostate gland (PG) and the index lesion (IL) were delineated. Three radiomics models of bpMRIPG , bpMRIIL , and bpMRIPG+IL were constructed, respectively, and the performance of each radiomics model was compared with that of PI-RADS assessment. STATISTICAL TESTS The least absolute shrinkage and selection operator (LASSO) regression method was used to select texture features. The area under the curve (AUC) and decision curve analysis were used to estimate the models. RESULTS The bpMRIPG+IL radiomics model exhibited good discrimination, calibration, and net benefits, which would reduce the SB biopsy in 71.2% and 71.4% of men with PI-RADS ≥ 5 lesions in the training and test cohorts, respectively. DATA CONCLUSION A bpMRIPG+IL radiomics model may outperform PI-RADS category in help reducing unnecessary SB in biopsy-naïve patients. EVIDENCE LEVEL 3 TECHNICAL EFFICACY: Stage 6.
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Affiliation(s)
- Xueqing Cheng
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Yuntian Chen
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Hui Xu
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Lei Ye
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Shun Tong
- SICE, University of Electronic Science and Technology of China, China
| | | | | | | | - Jin Qi
- SICE, University of Electronic Science and Technology of China, China
| | - Hao Zeng
- Department of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Jin Yao
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Bin Song
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Department of Radiology, Sanya People's Hospital (West China Sanya Hospital of Sichuan University), China
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11
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Wang Y, Feng Y, Yang X, Wang W, Zhang T, Xie Y, Zhao K. Enhanced Transrectal Ultrasound, Real-Time Sonoelastography, and Contrast-Enhanced Transrectal Ultrasound in Heavily Prescreened Chinese Men With Naive and Repetitive Biopsy: A Comparison of Detection Rate of Prostate Cancer Per Man and Per Lesion. Ultrasound Q 2022; 38:237-245. [PMID: 35129152 DOI: 10.1097/ruq.0000000000000589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
ABSTRACT Multiparametric magnetic resonance imaging and targeted biopsy have been widely accepted as the most accurate technique to detect localize prostate cancer. It is a time-consuming and expensive option and may not be widely available in China, making ultrasound the first choice for the detection of prostate cancer. In this current retrospective study, the diagnostic values of enhanced transrectal ultrasound, contrast-enhanced transrectal ultrasound, and real-time sonoelastography were evaluated. Symptomatic 315 men older than 40 years with prostate-specific antigen level greater than 4.0 ng/mL, with abnormal digital rectal examinations, and with suspicious lesions for prostate cancer under enhanced transrectal ultrasound included in the study. Enhanced transrectal ultrasound was suspicious in all 315 men, with 189 of 315 men with prostate cancer according to the prostate biopsy report. Sonoelastography was suspicious in 294 of 315 men, with 166 of 315 men with prostate cancer according to the prostate biopsy report. Contrast-enhanced transrectal ultrasound was suspicious in 221 of 315 men, with 159 of 315 men with prostate cancer according to the prostate biopsy report. Real-time sonoelastography alone and contrast-enhanced transrectal ultrasound alone were missed in 27 (11%) and 39 (15%) lesions to report cancer through biopsies. Working area for enhanced transrectal ultrasound, real-time sonoelastography, and contrast-enhanced transrectal ultrasound for detection of prostate cancer were 0 to 1 diagnostic confidence, 0.11 to 0.895 diagnostic confidence, and 0.39 to 0.63 diagnostic confidence respectively. Real-time sonoelastography and contrast-enhanced transrectal ultrasound may improve the detection of prostate cancer in men with suspicious prostate lesions under enhanced transrectal ultrasound (Level of Evidence: III; Technical Efficacy Stage: 2).
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Affiliation(s)
| | | | | | | | | | | | - Kun Zhao
- Intensive Care Unit, The Second Hospital of Hebei Medical University, Shijiazhuang, Republic of China
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12
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Proteomic Analysis of Prostate Cancer FFPE Samples Reveals Markers of Disease Progression and Aggressiveness. Cancers (Basel) 2022; 14:cancers14153765. [PMID: 35954429 PMCID: PMC9367334 DOI: 10.3390/cancers14153765] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 07/29/2022] [Accepted: 07/30/2022] [Indexed: 01/27/2023] Open
Abstract
Simple Summary Prostate cancer (PCa) is the second most frequently diagnosed type of cancer in men. The lack of tools for accurate risk assessment is causing over-treatment of men with indolent PCa but also delayed detection of metastatic disease and thus high mortality. The aim of our study was to identify proteins related to the progression and aggressiveness of PCa that could serve as potential biomarkers for better risk stratification. To this end, we performed proteomic analysis of Formalin Fixed Paraffin Embedded (FFPE) prostate tissue specimens (n = 86) and compared them based on grade groups and biochemical recurrence status. Based on the valuable data generated by these comparisons, we have selected seven proteins (NMP1, UQCRH, HSPA9, MRPL3, VCAN, SERBP1, HSPE1) as common denominators of PCa aggressiveness and persistence that could potentially be used for the development of risk assessment tools. Notably, our observations are largely validated by transcriptomics data and literature. Abstract Prostate cancer (PCa) is the second most common cancer in men. Diagnosis and risk assessment are widely based on serum Prostate Specific Antigen (PSA) and biopsy, which might not represent the exact degree of PCa risk. Towards the discovery of biomarkers for better patient stratification, we performed proteomic analysis of Formalin Fixed Paraffin Embedded (FFPE) prostate tissue specimens using liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS). Comparative analysis of 86 PCa samples among grade groups 1–5 identified 301 significantly altered proteins. Additional analysis based on biochemical recurrence (BCR; BCR+ n = 14, BCR- n = 51) revealed 197 significantly altered proteins that indicate disease persistence. Filtering the overlapping proteins of these analyses, seven proteins (NPM1, UQCRH, HSPA9, MRPL3, VCAN, SERBP1, HSPE1) had increased expression in advanced grades and in BCR+/BCR- and may play a critical role in PCa aggressiveness. Notably, all seven proteins were significantly associated with progression in Prostate Cancer Transcriptome Atles (PCTA) and NPM1NPM1, UQCRH, and VCAN were further validated in The Cancer Genome Atlas (TCGA), where they were upregulated in BCR+/BCR-. UQCRH levels were also associated with poorer 5-year survival. Our study provides valuable insights into the key regulators of PCa progression and aggressiveness. The seven selected proteins could be used for the development of risk assessment tools.
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13
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Wang X, Xie Y, Zheng X, Liu B, Chen H, Li J, Ma X, Xiang J, Weng G, Zhu W, Wang G, Fang Y, Cheng H, Xie L. A prospective multi-center randomized comparative trial evaluating outcomes of transrectal ultrasound (TRUS)-guided 12-core systematic biopsy, mpMRI-targeted 12-core biopsy, and artificial intelligence ultrasound of prostate (AIUSP) 6-core targeted biopsy for prostate cancer diagnosis. World J Urol 2022; 41:653-662. [PMID: 35852595 DOI: 10.1007/s00345-022-04086-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 06/28/2022] [Indexed: 01/23/2023] Open
Abstract
BACKGROUND Artificial intelligence ultrasound of prostate (AIUSP)-targeted biopsy has been used for prostate cancer (PCa) diagnosis. The objective of this prospective multi-center head-to-head clinical randomized comparative trail (RCT) is to compare PCa detection rate in the TRUS-guided 12-core standard systematic biopsy (TRUS-SB) group and cognitive fused mpMRI-guided 12-core biopsy (mpMRI) group against AIUSP group. METHODS Four hundred patients were randomized to three arms and underwent biopsies by TRUS-SB (n = 133), mpMRI (n = 134), and AIUSP (n = 133) between January 2015 and December 2017. In TRUS-SB group, a standard 12-core systematic biopsy was performed. In mpMRI group, mpMRI-suspicious lesions (PI-RADS 3-5) were targeted by 2-core biopsy followed by a 10-core systematic biopsy. Otherwise, 12-core systematic biopsy was performed. In AIUSP group, a 6-core targeted biopsy was performed. The primary endpoint was PCa detection rate. RESULTS AIUSP detected the highest rate of PCa (66/133, 49.6%) compared to TRUS-SB (46/133, 34.6%, p = 0.036) and mpMRI (48/134, 35.8%, p = 0.052). Compared to TRUS-SB (35/133, 26.3%) and mpMRI (31/134, 23.1%) groups, clinically significant PCa (csPCa) detection rate was 32.3% (43/133) in AIUSP group. Overall biopsy core positive rate in the TRUS-SB group (11.0%, 176/1598) and in the mpMRI group (12.7%, 204/1608) was significantly lower than that in the AIUSP group (22.7%, 181/798, p < 0.001). CONCLUSIONS AIUSP detected the highest rate of overall and significant PCa compared to TRUS-SB and mpMRI, and could be used as an alternative to systematic biopsy in the future. REGISTRATION This trial was registered in ISRCTN (ISRCTN18033113).
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Affiliation(s)
- Xiao Wang
- Department of Urology, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Road, Hangzhou, 310003, Zhejiang Province, China
| | - Yanqi Xie
- Department of Urology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiangyi Zheng
- Department of Urology, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Road, Hangzhou, 310003, Zhejiang Province, China
| | - Ben Liu
- Department of Urology, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Road, Hangzhou, 310003, Zhejiang Province, China
| | - Hong Chen
- Department of Urology, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Road, Hangzhou, 310003, Zhejiang Province, China
| | - Jiangfeng Li
- Department of Urology, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Road, Hangzhou, 310003, Zhejiang Province, China
| | - Xueyou Ma
- Department of Urology, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Road, Hangzhou, 310003, Zhejiang Province, China
| | - Jianjian Xiang
- Department of Ultrasonography, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Guobin Weng
- Department of Urology, Ningbo Yinzhou No.2 Hospital, Ningbo, China
| | - Weizhi Zhu
- Department of Urology, Ningbo Yinzhou No.2 Hospital, Ningbo, China
| | - Gang Wang
- Department of Urology, Ningbo Yinzhou No.2 Hospital, Ningbo, China
| | - Ye Fang
- Department of Ultrasonography, Ningbo Yinzhou No.2 Hospital, Ningbo, China
| | - Hongtao Cheng
- Department of Urology, Shulan Hospital, Hangzhou, China
| | - Liping Xie
- Department of Urology, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Road, Hangzhou, 310003, Zhejiang Province, China.
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14
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Leow JJ, Koh SH, Chow MWL, Loke W, Salada II R, Hong SK, Yeow Y, Lee CH, Tan CH, Tan TW. Can we omit systematic biopsies in patients undergoing MRI fusion-targeted prostate biopsies? Asian J Androl 2022; 25:43-49. [PMID: 35488666 PMCID: PMC9933957 DOI: 10.4103/aja2021128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
Magnetic resonance imaging (MRI)-targeted prostate biopsy is the recommended investigation in men with suspicious lesion(s) on MRI. The role of concurrent systematic in addition to targeted biopsies is currently unclear. Using our prospectively maintained database, we identified men with at least one Prostate Imaging-Reporting and Data System (PI-RADS) ≥3 lesion who underwent targeted and/or systematic biopsies from May 2016 to May 2020. Clinically significant prostate cancer (csPCa) was defined as any Gleason grade group ≥2 cancer. Of 545 patients who underwent MRI fusion-targeted biopsy, 222 (40.7%) were biopsy naïve, 247 (45.3%) had previous prostate biopsy(s), and 76 (13.9%) had known prostate cancer undergoing active surveillance. Prostate cancer was more commonly found in biopsy-naïve men (63.5%) and those on active surveillance (68.4%) compared to those who had previous biopsies (35.2%; both P < 0.001). Systematic biopsies provided an incremental 10.4% detection of csPCa among biopsy-naïve patients, versus an incremental 2.4% among those who had prior negative biopsies. Multivariable regression found age (odds ratio [OR] = 1.03, P = 0.03), prostate-specific antigen (PSA) density ≥0.15 ng ml-2 (OR = 3.24, P < 0.001), prostate health index (PHI) ≥35 (OR = 2.43, P = 0.006), higher PI-RADS score (vs PI-RADS 3; OR = 4.59 for PI-RADS 4, and OR = 9.91 for PI-RADS 5; both P < 0.001) and target lesion volume-to-prostate volume ratio ≥0.10 (OR = 5.26, P = 0.013) were significantly associated with csPCa detection on targeted biopsy. In conclusion, for men undergoing MRI fusion-targeted prostate biopsies, systematic biopsies should not be omitted given its incremental value to targeted biopsies alone. The factors such as PSA density ≥0.15 ng ml-2, PHI ≥35, higher PI-RADS score, and target lesion volume-to-prostate volume ratio ≥0.10 can help identify men at higher risk of csPCa.
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Affiliation(s)
- Jeffrey J Leow
- Department of Urology, Tan Tock Seng Hospital, Singapore 308433, Singapore,Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 308232, Singapore
| | - Soon Hock Koh
- Department of Urology, Tan Tock Seng Hospital, Singapore 308433, Singapore,Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 308232, Singapore
| | - Marcus WL Chow
- Department of Urology, Tan Tock Seng Hospital, Singapore 308433, Singapore,Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 308232, Singapore
| | - Wayren Loke
- Department of Urology, Tan Tock Seng Hospital, Singapore 308433, Singapore
| | - Rolando Salada II
- Department of Urology, Tan Tock Seng Hospital, Singapore 308433, Singapore
| | - Seok Kwan Hong
- Department of Urology, Tan Tock Seng Hospital, Singapore 308433, Singapore,Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 308232, Singapore
| | - Yuyi Yeow
- Department of Urology, Tan Tock Seng Hospital, Singapore 308433, Singapore,Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 308232, Singapore
| | - Chau Hung Lee
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 308232, Singapore,Department of Diagnostic Radiology, Tan Tock Seng Hospital, Singapore 308433, Singapore
| | - Cher Heng Tan
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 308232, Singapore,Department of Diagnostic Radiology, Tan Tock Seng Hospital, Singapore 308433, Singapore
| | - Teck Wei Tan
- Department of Urology, Tan Tock Seng Hospital, Singapore 308433, Singapore,Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 308232, Singapore,
Correspondence: Dr. TW Tan ()
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15
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Registration of trans-perineal template mapping biopsy cores to volumetric ultrasound. Int J Comput Assist Radiol Surg 2022; 17:929-936. [PMID: 35380340 DOI: 10.1007/s11548-022-02604-4] [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: 03/07/2022] [Accepted: 03/09/2022] [Indexed: 11/05/2022]
Abstract
PURPOSE Pathology from trans-perineal template mapping biopsy (TTMB) can be used as labels to train prostate cancer classifiers. In this work, we propose a framework to register TTMB cores to advanced volumetric ultrasound data such as multi-parametric transrectal ultrasound (mpTRUS). METHODS The framework has mainly two steps. First, needle trajectories are calculated with respect to the needle guiding template-considering deflections in their paths. In standard TTMB, a sparsely sampled ultrasound volume is taken prior to the procedure which contains the template overlaid on top of it. The position of this template is detected automatically, and the cores are mapped following the calculated needle trajectories. Second, the TTMB volume is aligned to the mpTRUS volume by a two-step registration method. Using the same transformations from the registration step, the cores are registered from the TTMB volume to the mpTRUS volume. RESULTS TTMB and mpTRUS of 10 patients were available for this work. The target registration errors (TRE) of the volumes using landmarks picked by three research assistants (RA) and one radiation oncologist (RO) were on average 1.32 ± 0.7 mm and 1.03 ± 0.6 mm, respectively. Additionally, on average, our framework takes only 97 s to register the cores. CONCLUSION Our proposed framework allows a quick way to find the spatial location of the cores with respect to volumetric ultrasound. Furthermore, knowing the correct location of the pathology will facilitate focal treatment and will aid in training imaging-based cancer classifiers.
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16
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A Deep Learning Model for Prostate Adenocarcinoma Classification in Needle Biopsy Whole-Slide Images Using Transfer Learning. Diagnostics (Basel) 2022; 12:diagnostics12030768. [PMID: 35328321 PMCID: PMC8947489 DOI: 10.3390/diagnostics12030768] [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: 02/18/2022] [Revised: 03/08/2022] [Accepted: 03/18/2022] [Indexed: 02/04/2023] Open
Abstract
The histopathological diagnosis of prostate adenocarcinoma in needle biopsy specimens is of pivotal importance for determining optimum prostate cancer treatment. Since diagnosing a large number of cases containing 12 core biopsy specimens by pathologists using a microscope is time-consuming manual system and limited in terms of human resources, it is necessary to develop new techniques that can rapidly and accurately screen large numbers of histopathological prostate needle biopsy specimens. Computational pathology applications that can assist pathologists in detecting and classifying prostate adenocarcinoma from whole-slide images (WSIs) would be of great benefit for routine pathological practice. In this paper, we trained deep learning models capable of classifying needle biopsy WSIs into adenocarcinoma and benign (non-neoplastic) lesions. We evaluated the models on needle biopsy, transurethral resection of the prostate (TUR-P), and The Cancer Genome Atlas (TCGA) public dataset test sets, achieving an ROC-AUC up to 0.978 in needle biopsy test sets and up to 0.9873 in TCGA test sets for adenocarcinoma.
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17
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PSMA-Targeting Imaging and Theranostic Agents-Current Status and Future Perspective. Int J Mol Sci 2022; 23:ijms23031158. [PMID: 35163083 PMCID: PMC8835702 DOI: 10.3390/ijms23031158] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 01/15/2022] [Accepted: 01/17/2022] [Indexed: 12/13/2022] Open
Abstract
In the past two decades, extensive efforts have been made to develop agents targeting prostate-specific membrane antigen (PSMA) for prostate cancer imaging and therapy. To date, represented by two recent approvals of [68Ga]Ga-PSMA-11 and [18F]F-DCFPyL by the United States Food and Drug Administration (US-FDA) for positron emission tomography (PET) imaging to identify suspected metastases or recurrence in patients with prostate cancer, PSMA-targeting imaging and theranostic agents derived from small molecule PSMA inhibitors have advanced to clinical practice and trials of prostate cancer. The focus of current development of new PSMA-targeting agents has thus shifted to the improvement of in vivo pharmacokinetics and higher specific binding affinity with the aims to further increase the detection sensitivity and specificity and minimize the toxicity to non-target tissues, particularly the kidneys. The main strategies involve systematic chemical modifications of the linkage between the targeting moiety and imaging/therapy payloads. In addition to a summary of the development history of PSMA-targeting agents, this review provides an overview of current advances and future promise of PSMA-targeted imaging and theranostics with focuses on the structural determinants of the chemical modification towards the next generation of PSMA-targeting agents.
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18
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Bhanji Y, Rowe SP, Pavlovich CP. New imaging modalities to consider for men with prostate cancer on active surveillance. World J Urol 2022; 40:51-59. [PMID: 34146124 PMCID: PMC8730712 DOI: 10.1007/s00345-021-03762-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 06/10/2021] [Indexed: 12/25/2022] Open
Abstract
PURPOSE To discuss the potential utility of newer imaging modalities including micro-ultrasound and PSMA-PET for the detection of clinically significant prostate cancer, technologies that may gain roles as adjuncts to multiparametric magnetic resonance imaging (mpMRI) in the active surveillance (AS) setting. METHODS Narrative review of two new imaging modalities used for primary prostate cancer through April 2021. A targeted search was performed to identify current relevant literature on the role of new imaging modalities for primary prostate cancer using search terms "micro-ultrasound," "molecular imaging," "prostate cancer," "active surveillance," "multiparametric MRI," "PI-RADS," "PRI-MUS," and "detection rate." In addition, references of included articles were screened for further relevant publications. RESULTS Micro-ultrasound (micro-US) and prostate-specific membrane antigen-positron emission tomography (PSMA-PET) are increasing in their use and applicability to prostate cancer imaging. Micro-US is used for cancer detection and may identify higher grade cancers more accurately than conventional ultrasound, despite technical hurdles in its initial launch. PSMA-PET is highly sensitive and specific for high-grade and metastatic prostate cancer, though costly and not easily available. Though data are sparse, it may have an emerging role in cancer diagnosis in select localized cases, and in some men considering (or currently on) AS who have indications of more aggressive disease. CONCLUSION There are very limited data on micro-US and PSMA-PET in AS patients. However, given the ability of these modalities to identify high-grade cancer, their judicious use in AS patients may be of utility in the future.
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Affiliation(s)
- Yasin Bhanji
- The Brady Urological Institute, The Johns Hopkins School of Medicine, Baltimore, MD, 21287, USA
| | - Steven P Rowe
- The Brady Urological Institute, The Johns Hopkins School of Medicine, Baltimore, MD, 21287, USA
- The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins School of Medicine, Baltimore, MD, 21287, USA
| | - Christian P Pavlovich
- The Brady Urological Institute, The Johns Hopkins School of Medicine, Baltimore, MD, 21287, USA.
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19
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Wu Q, Li F, Yin X, Gao J, Zhang X. Development and validation of a nomogram for predicting prostate cancer in patients with PSA ≤ 20 ng/mL at initial biopsy. Medicine (Baltimore) 2021; 100:e28196. [PMID: 34918677 PMCID: PMC8677903 DOI: 10.1097/md.0000000000028196] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 11/17/2021] [Indexed: 01/05/2023] Open
Abstract
The aim of this study was to construct a nomogram for predicting prostate cancer (PCa) in patients with PSA ≤ 20 ng/mL at initial biopsy.The patients with PSA ≤ 20 ng/mL who underwent prostate biopsy were retrospectively included in this study. The nomogram was developed based on predictors for PCa, which were assessed by multivariable logistic regression analysis. The receiver operating characteristic curve, calibration plots and decision curve analysis (DCA) were used to evaluate the performance of the nomogram.This retrospective study included 691 patients, who were divided into training set (505 patients) and validation set (186 patients). The nomogram was developed based on the multivariable logistic regression model, including age, total PSA, free PSA, and prostate volume. It had a high area under the curve of 0.857, and was well verified in validation set. Calibration plots and DCA further validated its discrimination and potential clinical benefits. Applying the cut-off value of 15%, our nomogram would avoid 42.5% of unnecessary biopsies while miss only 4.4% of PCa patients.The nomogram provided high predictive accuracy for PCa in patients with PSA ≤ 20 ng/mL at initial biopsy, which could be used to avoid the unnecessary biopsies in clinical practice.
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Affiliation(s)
- Qiang Wu
- Department of Graduate Administration, Chinese PLA General Hospital, Beijing, China
- Department of Urology, Huhhot First Hospital, Huhhot, China
| | - Fanglong Li
- Department of Urology, Chinese PLA 980th Hospital, Shijiazhuang, China
| | - Xiaotao Yin
- Senior Department of Urology, the Third Medical Center of PLA General Hospital, Beijing, China
| | - Jiangping Gao
- Senior Department of Urology, the Third Medical Center of PLA General Hospital, Beijing, China
| | - Xu Zhang
- Senior Department of Urology, the Third Medical Center of PLA General Hospital, Beijing, China
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20
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Qiu DX, Li J, Zhang JW, Chen MF, Gao XM, Tang YX, Zhang Y, Yi XP, Yin HL, Gan Y, Wang GL, Zu XB, Hu S, Cai Y. Dual-tracer PET/CT-targeted, mpMRI-targeted, systematic biopsy, and combined biopsy for the diagnosis of prostate cancer: a pilot study. Eur J Nucl Med Mol Imaging 2021; 49:2821-2832. [PMID: 34860277 DOI: 10.1007/s00259-021-05636-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 11/24/2021] [Indexed: 12/21/2022]
Abstract
PURPOSE Growing evidence proved the efficacy of multi-parametric MRI (mpMRI) and prostate-specific membrane antigen (PSMA) positron emission tomography/computed tomography (PET/CT)-guided targeted biopsy (TB) in prostate cancer (PCa) diagnosis, but there is no direct comparison between mpMRI-TB and PSMA PET/CT-TB. Gastrin-releasing peptide receptor (GRPR) is highly expressed in PCa, which can compensate for the unstable expression of PSMA in PCa. Therefore, we designed a study to compare the efficiency of mpMRI-TB, dual-tracer (GRPR and PSMA) PET/CT-TB, systematic biopsy, and combined biopsy for the diagnosis of prostate cancer. METHODS One hundred twelve suspicious PCa patients were enrolled from September 2020 to June 2021. Patients with anyone of positive dual-tracer PET/CT or mpMRI underwent TB, and all enrolled patients underwent systematic biopsy (SB) after TB. The primary outcome was the detection rates of PCa in different biopsy strategies. Secondary outcomes were the performance of three imaging methods, omission diagnostic rates, and upgrading and downgrading of biopsy samples relative to those of prostatectomy specimens in different biopsy strategies. McNemar's tests and Bonferroni correction in multiple comparisons were used to compare the primary and secondary outcomes. RESULTS In 112 men, clinically significant PCa (grade group[GG] ≥ 2) accounted for 34.82% (39/112), and nonclinically significant PCa (GG = 1) accounted for 4.46% (5/112). 68 Ga-PSMA PET/CT-TB achieved higher PCa detection rate (69.77%) and positive ratio of biopsy cores (0.44) compared with SB (39.29% and 0.12) and mpMRI-TB (36.14% and 0.23), respectively (P < 0.005). Dual-tracer PET/CT screen out patients for avoiding 52.67% (59/112) unnecessary biopsy, whereas dual-tracer PET/CT-TB plus SB achieved high detection rate (77.36%) without misdiagnosis of csPCa. CONCLUSION Dual-tracer PET/CT might screen patients for avoiding unnecessary biopsy. Dual-tracer PET/CT-TB plus SB might be a more effective and promising strategy for the definite diagnosis of clinically significant PCa than mpMRI-TB.
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Affiliation(s)
- Dong-Xu Qiu
- Department of Urology, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
| | - Jian Li
- Department of PET Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
| | - Jin-Wei Zhang
- Department of Radiology, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
| | - Min-Feng Chen
- Department of Urology, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
| | - Xiao-Mei Gao
- Department of Pathology, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
| | - Yong-Xiang Tang
- Department of PET Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
| | - Ye Zhang
- Department of Oncology, NHC Key Laboratory of Cancer Proteomics, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
| | - Xiao-Ping Yi
- Department of Radiology, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
| | - Hong-Ling Yin
- Department of Pathology, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
| | - Yu Gan
- Department of Urology, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
| | - Gui-Lin Wang
- Department of Urology, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
| | - Xiong-Bing Zu
- Department of Urology, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
| | - Shuo Hu
- Department of PET Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
| | - Yi Cai
- Department of Urology, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
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21
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Bodar YJL, Zwezerijnen BGJC, van der Voorn PJ, Jansen BHE, Smit RS, Kol SQ, Meijer D, de Bie K, Yaqub M, Windhorst BAD, Hendrikse HNH, Vis AN, Oprea-Lager DE. Prospective analysis of clinically significant prostate cancer detection with [ 18F]DCFPyL PET/MRI compared to multiparametric MRI: a comparison with the histopathology in the radical prostatectomy specimen, the ProStaPET study. Eur J Nucl Med Mol Imaging 2021; 49:1731-1742. [PMID: 34725727 PMCID: PMC8940822 DOI: 10.1007/s00259-021-05604-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 10/22/2021] [Indexed: 12/27/2022]
Abstract
PURPOSE Multiparametric magnetic resonance imaging (mpMRI) is a well-established imaging method for localizing primary prostate cancer (PCa) and for guiding targeted prostate biopsies. [18F]DCFPyL positron emission tomography combined with MRI (PSMA-PET/MRI) might be of additional value to localize primary PCa. The aim of this study was to assess the diagnostic performance of [18F]DCFPyL-PET/MRI vs. mpMRI in tumour localization based on histopathology after robot-assisted radical-prostatectomy (RARP), also assessing biopsy advice for potential image-guided prostate biopsies. METHODS Thirty prospectively included patients with intermediate to high-risk PCa underwent [18F]DCFPyL-PET/MRI and mpMRI prior to RARP. Two nuclear medicine physicians and two radiologists assessed tumour localization on [18F]DCFPyL-PET/MRI and on mpMRI respectively, and gave a prostate biopsy advice (2 segments) using a 14-segment model of the prostate. The uro-pathologist evaluated the RARP specimen for clinically significant PCa (csPCa) using the same model. csPCa was defined as any PCa with Grade Group (GG) ≥ 2. The biopsy advice based on imaging was correlated with the final histology in the RARP specimen for a total-agreement analysis. An additional near-agreement correlation was performed to approximate clinical reality. RESULTS Overall, 142 of 420 (33.8%) segments contained csPCa after pathologic examination. The segments recommended for targeted biopsy contained the highest GG PCa segment in 27/30 patients (90.0%) both for [18F]DCFPyL-PET/MRI and mpMRI. Areas under the receiver operating characteristics curves (AUC), sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for the total-agreement detection of csPCa per segment using [18F]DCFPyL-PET/MRI were 0.70, 50.0%, 89.9%, 71.7%, and 77.9%, respectively. These results were 0.75, 54.2%, 94.2%, 82.8%, and 80.1%, respectively, for mpMRI only. CONCLUSION Both [18F]DCFPyL-PET/MRI and mpMRI were only partly able to detect csPCa on a per-segment basis. An accurate detection (90.0%) of the highest GG lesion at patient-level was observed when comparing both [18F]DCFPyL-PET/MRI and mpMRI biopsy advice with the histopathology in the RARP specimen. So, despite the finding that [18F]DCFPyL-PET/MRI adequately detects csPCa, it does not outperform mpMRI.
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Affiliation(s)
- Yves J L Bodar
- Department of Urology, Amsterdam University Medical Centres (VU University Medical Center), Amsterdam, the Netherlands. .,Department of Radiology & Nuclear Medicine, Amsterdam University Medical Centres (VU University Medical Center), Amsterdam, the Netherlands. .,Prostate Cancer Network, Amsterdam, the Netherlands.
| | - Ben G J C Zwezerijnen
- Department of Radiology & Nuclear Medicine, Amsterdam University Medical Centres (VU University Medical Center), Amsterdam, the Netherlands
| | - Patrick J van der Voorn
- Department of Pathology, Amsterdam University Medical Centres (VU University Medical Center), Amsterdam, the Netherlands
| | - Bernard H E Jansen
- Department of Urology, Amsterdam University Medical Centres (VU University Medical Center), Amsterdam, the Netherlands.,Department of Radiology & Nuclear Medicine, Amsterdam University Medical Centres (VU University Medical Center), Amsterdam, the Netherlands.,Prostate Cancer Network, Amsterdam, the Netherlands
| | - Ruth S Smit
- Department of Radiology & Nuclear Medicine, Amsterdam University Medical Centres (VU University Medical Center), Amsterdam, the Netherlands
| | - Sabrine Q Kol
- Department of Radiology & Nuclear Medicine, Amsterdam University Medical Centres (VU University Medical Center), Amsterdam, the Netherlands
| | - Dennie Meijer
- Department of Urology, Amsterdam University Medical Centres (VU University Medical Center), Amsterdam, the Netherlands.,Department of Radiology & Nuclear Medicine, Amsterdam University Medical Centres (VU University Medical Center), Amsterdam, the Netherlands.,Prostate Cancer Network, Amsterdam, the Netherlands
| | - Katelijne de Bie
- Department of Urology, Amsterdam University Medical Centres (VU University Medical Center), Amsterdam, the Netherlands
| | - Maqsood Yaqub
- Department of Radiology & Nuclear Medicine, Amsterdam University Medical Centres (VU University Medical Center), Amsterdam, the Netherlands
| | - Bert A D Windhorst
- Department of Radiology & Nuclear Medicine, Amsterdam University Medical Centres (VU University Medical Center), Amsterdam, the Netherlands.,Department of Clinical Pharmacology and Pharmacy, Amsterdam University Medical Centres (VU University Medical Center), Amsterdam, the Netherlands
| | - Harry N H Hendrikse
- Department of Radiology & Nuclear Medicine, Amsterdam University Medical Centres (VU University Medical Center), Amsterdam, the Netherlands.,Department of Clinical Pharmacology and Pharmacy, Amsterdam University Medical Centres (VU University Medical Center), Amsterdam, the Netherlands
| | - André N Vis
- Department of Urology, Amsterdam University Medical Centres (VU University Medical Center), Amsterdam, the Netherlands.,Prostate Cancer Network, Amsterdam, the Netherlands
| | - Daniela E Oprea-Lager
- Department of Radiology & Nuclear Medicine, Amsterdam University Medical Centres (VU University Medical Center), Amsterdam, the Netherlands
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22
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Rationale and protocol for randomized study of transrectal and transperineal prostate biopsy efficacy and complications (ProBE-PC study). Prostate Cancer Prostatic Dis 2021; 24:688-696. [PMID: 33767354 DOI: 10.1038/s41391-021-00352-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2020] [Revised: 02/21/2021] [Accepted: 03/08/2021] [Indexed: 02/01/2023]
Abstract
BACKGROUND Rrisk of infection and hospitalization after transrectal prostate biopsy (TRBx) has been increasing worldwide. Several modified antibiotic regimens have met with variable success in preventing such infections. Transperineal prostate biopsy (TPBx) is increasingly recommended as the preferred alternative due to a potentially lower risk of post-biopsy infections. Aim of this review is to define the magnitude of post-biopsy complications and the effectiveness of preventive strategies, including TPBx approach. METHODS We performed a focused review of literature on infectious complications after TRBx and detailed the use of various preventive measures. We summarized the effectiveness of several preventive measures, including TPBx, and outlined the inconsistencies in reported outcomes. We identified potential barriers to the uptake of TPBx, including the gap in knowledge such as lack of high-quality evidence. RESULTS Several antibiotic prophylaxis protocols, including targeted and augmented, have been utilized for TRBx without demonstrating a clearly superior regimen. Of the non-antibiotic preventive measure, povidone-iodine rectal prep appears to be most effective strategy. Several single-arm cohort studies have reported very low rates of infections after TPBx and demonstrated the feasibility of an office-based procedure. However, barriers to the adoption of TPBx exist including retrospective data, and conflicting results showing minimal reduction in complications with increased burden of resource utilization. Presently, there are no randomized studies comparing the infectious complications after TRBx and TPBx. We discuss the rationale and protocol for a randomized controlled trial to determine the comparative effectiveness of biopsy techniques. CONCLUSIONS TPBx approach has the potential to lower the rate of post-biopsy infections and hospitalizations. However, there are several barriers to widespread adoption of this approach including inconsistencies in reported outcomes and lack of Level-1 evidence. Randomized controlled studies are required to directly compare the infectious complications associated with each biopsy procedure.
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23
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Savin Z, Dekalo S, Marom R, Bar-Yaakov N, Fahoum I, Barnes S, Yossepowitch O, Keren-Paz G, Mano R. Anterior and apical samplings during transperineal image-guided prostate biopsy. Urol Oncol 2021; 40:5.e15-5.e21. [PMID: 34340869 DOI: 10.1016/j.urolonc.2021.07.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2021] [Revised: 05/04/2021] [Accepted: 07/02/2021] [Indexed: 01/21/2023]
Abstract
INTRODUCTION Concurrent systematic biopsies during image-guided targeted biopsies of the prostate were found to improve the detection rate of clinically significant prostate cancer (CSPC). However, these biopsies do not routinely include anterior or apical sampling. We aimed to evaluate the significance of anterior and apical samplings during combined biopsies. METHODS After obtaining institutional review board approval we identified 303 consecutive patients who underwent transperineal combined biopsies of the prostate between 2017-2020. Systematic biopsies were obtained from the peripheral zone, anterior zone, and apex. Study outcomes included CSPC and any cancer on anterior or apical biopsies. Logistic regression analyses were used to evaluate the association between pre-biopsy characteristics and study outcomes. RESULTS Median prostatic-specific-antigen value was 6.8 ng/dL. Most patients had stage T1c disease (77%). Overall, combined biopsies detected CSPC in 87 patients (29%). Any cancer and CSPC in the anterior zone were found in 54 (18%) and 19 (6%) patients, respectively. Any cancer and CSPC in the apex were found in 54 (18%) and 16 (5%) patients, respectively. Anterior/apical samplings upgraded the pathological result in 19 patients (6%). Logistic regression analyses demonstrated that PI-RADS 5 lesions predicted the presence of CSPC in both the anterior zone (OR = 8, 95%CI = 3-22, P <0.001) and apex (OR = 4, 95%CI = 1-10, P = 0.01). CONCLUSIONS Avoiding anterior and apical samplings during prostate biopsy does not result in substantial under-diagnosis of significant cancer. However, these areas are easily accessible using the transperineal approach and should be sampled in selected patients, particularly those with PI-RADS 5 lesions.
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Affiliation(s)
- Ziv Savin
- Department of Urology, Tel-Aviv Sourasky Medical Center, Sackler School of Medicine, Tel-Aviv University, Tel Aviv-Yafo, Israel.
| | - Snir Dekalo
- Department of Urology, Tel-Aviv Sourasky Medical Center, Sackler School of Medicine, Tel-Aviv University, Tel Aviv-Yafo, Israel
| | - Ron Marom
- Department of Urology, Tel-Aviv Sourasky Medical Center, Sackler School of Medicine, Tel-Aviv University, Tel Aviv-Yafo, Israel
| | - Noam Bar-Yaakov
- Department of Urology, Tel-Aviv Sourasky Medical Center, Sackler School of Medicine, Tel-Aviv University, Tel Aviv-Yafo, Israel
| | - Ibrahim Fahoum
- Department of Pathology, Tel Aviv Sourasky Medical Center, Sackler School of Medicine, Tel-Aviv University, Tel Aviv-Yafo, Israel
| | - Sophie Barnes
- Department of Radiology, Tel Aviv Sourasky Medical Center, Sackler School of Medicine, Tel-Aviv University, Tel Aviv-Yafo, Israel
| | - Ofer Yossepowitch
- Department of Urology, Tel-Aviv Sourasky Medical Center, Sackler School of Medicine, Tel-Aviv University, Tel Aviv-Yafo, Israel
| | - Gal Keren-Paz
- Department of Urology, Tel-Aviv Sourasky Medical Center, Sackler School of Medicine, Tel-Aviv University, Tel Aviv-Yafo, Israel
| | - Roy Mano
- Department of Urology, Tel-Aviv Sourasky Medical Center, Sackler School of Medicine, Tel-Aviv University, Tel Aviv-Yafo, Israel
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24
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Epstein JI, Amin MB, Fine SW, Algaba F, Aron M, Baydar DE, Beltran AL, Brimo F, Cheville JC, Colecchia M, Comperat E, da Cunha IW, Delprado W, DeMarzo AM, Giannico GA, Gordetsky JB, Guo CC, Hansel DE, Hirsch MS, Huang J, Humphrey PA, Jimenez RE, Khani F, Kong Q, Kryvenko ON, Kunju LP, Lal P, Latour M, Lotan T, Maclean F, Magi-Galluzzi C, Mehra R, Menon S, Miyamoto H, Montironi R, Netto GJ, Nguyen JK, Osunkoya AO, Parwani A, Robinson BD, Rubin MA, Shah RB, So JS, Takahashi H, Tavora F, Tretiakova MS, True L, Wobker SE, Yang XJ, Zhou M, Zynger DL, Trpkov K. The 2019 Genitourinary Pathology Society (GUPS) White Paper on Contemporary Grading of Prostate Cancer. Arch Pathol Lab Med 2021; 145:461-493. [PMID: 32589068 DOI: 10.5858/arpa.2020-0015-ra] [Citation(s) in RCA: 136] [Impact Index Per Article: 45.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/28/2020] [Indexed: 11/06/2022]
Abstract
CONTEXT.— Controversies and uncertainty persist in prostate cancer grading. OBJECTIVE.— To update grading recommendations. DATA SOURCES.— Critical review of the literature along with pathology and clinician surveys. CONCLUSIONS.— Percent Gleason pattern 4 (%GP4) is as follows: (1) report %GP4 in needle biopsy with Grade Groups (GrGp) 2 and 3, and in needle biopsy on other parts (jars) of lower grade in cases with at least 1 part showing Gleason score (GS) 4 + 4 = 8; and (2) report %GP4: less than 5% or less than 10% and 10% increments thereafter. Tertiary grade patterns are as follows: (1) replace "tertiary grade pattern" in radical prostatectomy (RP) with "minor tertiary pattern 5 (TP5)," and only use in RP with GrGp 2 or 3 with less than 5% Gleason pattern 5; and (2) minor TP5 is noted along with the GS, with the GrGp based on the GS. Global score and magnetic resonance imaging (MRI)-targeted biopsies are as follows: (1) when multiple undesignated cores are taken from a single MRI-targeted lesion, an overall grade for that lesion is given as if all the involved cores were one long core; and (2) if providing a global score, when different scores are found in the standard and the MRI-targeted biopsy, give a single global score (factoring both the systematic standard and the MRI-targeted positive cores). Grade Groups are as follows: (1) Grade Groups (GrGp) is the terminology adopted by major world organizations; and (2) retain GS 3 + 5 = 8 in GrGp 4. Cribriform carcinoma is as follows: (1) report the presence or absence of cribriform glands in biopsy and RP with Gleason pattern 4 carcinoma. Intraductal carcinoma (IDC-P) is as follows: (1) report IDC-P in biopsy and RP; (2) use criteria based on dense cribriform glands (>50% of the gland is composed of epithelium relative to luminal spaces) and/or solid nests and/or marked pleomorphism/necrosis; (3) it is not necessary to perform basal cell immunostains on biopsy and RP to identify IDC-P if the results would not change the overall (highest) GS/GrGp part per case; (4) do not include IDC-P in determining the final GS/GrGp on biopsy and/or RP; and (5) "atypical intraductal proliferation (AIP)" is preferred for an intraductal proliferation of prostatic secretory cells which shows a greater degree of architectural complexity and/or cytological atypia than typical high-grade prostatic intraepithelial neoplasia, yet falling short of the strict diagnostic threshold for IDC-P. Molecular testing is as follows: (1) Ki67 is not ready for routine clinical use; (2) additional studies of active surveillance cohorts are needed to establish the utility of PTEN in this setting; and (3) dedicated studies of RNA-based assays in active surveillance populations are needed to substantiate the utility of these expensive tests in this setting. Artificial intelligence and novel grading schema are as follows: (1) incorporating reactive stromal grade, percent GP4, minor tertiary GP5, and cribriform/intraductal carcinoma are not ready for adoption in current practice.
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Affiliation(s)
- Jonathan I Epstein
- From the Departments of Pathology (Epstein, DeMarzo, Lotan), McGill University Health Center, Montréal, Quebec, Canada.,Urology (Epstein), David Geffen School of Medicine at UCLA, Los Angeles, California (Huang).,and Oncology (Epstein), The Johns Hopkins Medical Institutions, Baltimore, Maryland
| | - Mahul B Amin
- Department of Pathology and Laboratory Medicine and Urology, University of Tennessee Health Science, Memphis (Amin)
| | - Samson W Fine
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York (Fine)
| | - Ferran Algaba
- Department of Pathology, Fundacio Puigvert, Barcelona, Spain (Algaba)
| | - Manju Aron
- Department of Pathology, University of Southern California, Los Angeles (Aron)
| | - Dilek E Baydar
- Department of Pathology, Faculty of Medicine, Koç University, İstanbul, Turkey (Baydar)
| | - Antonio Lopez Beltran
- Department of Pathology, Champalimaud Centre for the Unknown, Lisbon, Portugal (Beltran)
| | - Fadi Brimo
- Department of Pathology, McGill University Health Center, Montréal, Quebec, Canada (Brimo)
| | - John C Cheville
- Department of Pathology, Mayo Clinic, Rochester, Minnesota (Cheville, Jimenez)
| | - Maurizio Colecchia
- Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy (Colecchia)
| | - Eva Comperat
- Department of Pathology, Hôpital Tenon, Sorbonne University, Paris, France (Comperat)
| | | | | | - Angelo M DeMarzo
- From the Departments of Pathology (Epstein, DeMarzo, Lotan), McGill University Health Center, Montréal, Quebec, Canada
| | - Giovanna A Giannico
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee (Giannico, Gordetsky)
| | - Jennifer B Gordetsky
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee (Giannico, Gordetsky)
| | - Charles C Guo
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston (Guo)
| | - Donna E Hansel
- Department of Pathology, Oregon Health and Science University, Portland (Hansel)
| | - Michelle S Hirsch
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts (Hirsch)
| | - Jiaoti Huang
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California (Huang)
| | - Peter A Humphrey
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut (Humphrey)
| | - Rafael E Jimenez
- Department of Pathology, Mayo Clinic, Rochester, Minnesota (Cheville, Jimenez)
| | - Francesca Khani
- Department of Pathology and Laboratory Medicine and Urology, Weill Cornell Medicine, New York, New York (Khani, Robinson)
| | - Qingnuan Kong
- Department of Pathology, Qingdao Municipal Hospital, Qingdao, Shandong, China (Kong).,Kong is currently located at Kaiser Permanente Sacramento Medical Center, Sacramento, California
| | - Oleksandr N Kryvenko
- Departments of Pathology and Laboratory Medicine and Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida (Kryvenko)
| | - L Priya Kunju
- Department of Pathology, University of Michigan Medical School, Ann Arbor, Michigan (Kunju, Mehra)
| | - Priti Lal
- Perelman School of Medicine, University of Pennsylvania, Philadelphia (Lal)
| | - Mathieu Latour
- Department of Pathology, CHUM, Université de Montréal, Montréal, Quebec, Canada (Latour)
| | - Tamara Lotan
- From the Departments of Pathology (Epstein, DeMarzo, Lotan), McGill University Health Center, Montréal, Quebec, Canada
| | - Fiona Maclean
- Douglass Hanly Moir Pathology, Faculty of Medicine and Health Sciences Macquarie University, North Ryde, Australia (Maclean)
| | - Cristina Magi-Galluzzi
- Department of Pathology, The University of Alabama at Birmingham, Birmingham (Magi-Galluzzi, Netto)
| | - Rohit Mehra
- Department of Pathology, University of Michigan Medical School, Ann Arbor, Michigan (Kunju, Mehra)
| | - Santosh Menon
- Department of Surgical Pathology, Tata Memorial Hospital, Parel, Mumbai, India (Menon)
| | - Hiroshi Miyamoto
- Departments of Pathology and Laboratory Medicine and Urology, University of Rochester Medical Center, Rochester, New York (Miyamoto)
| | - Rodolfo Montironi
- Section of Pathological Anatomy, School of Medicine, Polytechnic University of the Marche Region, United Hospitals, Ancona, Italy (Montironi)
| | - George J Netto
- Department of Pathology, The University of Alabama at Birmingham, Birmingham (Magi-Galluzzi, Netto)
| | - Jane K Nguyen
- Robert J. Tomsich Pathology and Laboratory Medicine Institute, Cleveland Clinic, Cleveland, Ohio (Nguyen)
| | - Adeboye O Osunkoya
- Department of Pathology, Emory University School of Medicine, Atlanta, Georgia (Osunkoya)
| | - Anil Parwani
- Department of Pathology, Ohio State University, Columbus (Parwani, Zynger)
| | - Brian D Robinson
- Department of Pathology and Laboratory Medicine and Urology, Weill Cornell Medicine, New York, New York (Khani, Robinson)
| | - Mark A Rubin
- Department for BioMedical Research, University of Bern, Bern, Switzerland (Rubin)
| | - Rajal B Shah
- Department of Pathology, The University of Texas Southwestern Medical Center, Dallas (Shah)
| | - Jeffrey S So
- Institute of Pathology, St Luke's Medical Center, Quezon City and Global City, Philippines (So)
| | - Hiroyuki Takahashi
- Department of Pathology, The Jikei University School of Medicine, Tokyo, Japan (Takahashi)
| | - Fabio Tavora
- Argos Laboratory, Federal University of Ceara, Fortaleza, Brazil (Tavora)
| | - Maria S Tretiakova
- Department of Pathology, University of Washington School of Medicine, Seattle (Tretiakova, True)
| | - Lawrence True
- Department of Pathology, University of Washington School of Medicine, Seattle (Tretiakova, True)
| | - Sara E Wobker
- Departments of Pathology and Laboratory Medicine and Urology, University of North Carolina, Chapel Hill (Wobker)
| | - Ximing J Yang
- Department of Pathology, Northwestern University, Chicago, Illinois (Yang)
| | - Ming Zhou
- Department of Pathology, Tufts Medical Center, Boston, Massachusetts (Zhou)
| | - Debra L Zynger
- Department of Pathology, Ohio State University, Columbus (Parwani, Zynger)
| | - Kiril Trpkov
- and Department of Pathology and Laboratory Medicine, University of Calgary, Calgary, Alberta, Canada (Trpkov)
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25
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Doldi V, El Bezawy R, Zaffaroni N. MicroRNAs as Epigenetic Determinants of Treatment Response and Potential Therapeutic Targets in Prostate Cancer. Cancers (Basel) 2021; 13:2380. [PMID: 34069147 PMCID: PMC8156532 DOI: 10.3390/cancers13102380] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 05/07/2021] [Accepted: 05/13/2021] [Indexed: 12/15/2022] Open
Abstract
Prostate cancer (PCa) is the second most common tumor in men worldwide, and the fifth leading cause of male cancer-related deaths in western countries. PC is a very heterogeneous disease, meaning that optimal clinical management of individual patients is challenging. Depending on disease grade and stage, patients can be followed in active surveillance protocols or undergo surgery, radiotherapy, hormonal therapy, and chemotherapy. Although therapeutic advancements exist in both radiatiotherapy and chemotherapy, in a considerable proportion of patients, the treatment remains unsuccessful, mainly due to tumor poor responsiveness and/or recurrence and metastasis. microRNAs (miRNAs), small noncoding RNAs that epigenetically regulate gene expression, are essential actors in multiple tumor-related processes, including apoptosis, cell growth and proliferation, autophagy, epithelial-to-mesenchymal transition, invasion, and metastasis. Given that these processes are deeply involved in cell response to anti-cancer treatments, miRNAs have been considered as key determinants of tumor treatment response. In this review, we provide an overview on main PCa-related miRNAs and describe the biological mechanisms by which specific miRNAs concur to determine PCa response to radiation and drug therapy. Additionally, we illustrate whether miRNAs can be considered novel therapeutic targets or tools on the basis of the consequences of their expression modulation in PCa experimental models.
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Affiliation(s)
| | | | - Nadia Zaffaroni
- Molecular Pharmacology Unit, Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy; (V.D.); (R.E.B.)
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26
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Using Prostate Imaging-Reporting and Data System (PI-RADS) Scores to Select an Optimal Prostate Biopsy Method: A Secondary Analysis of the Trio Study. Eur Urol Oncol 2021; 5:176-186. [PMID: 33846112 DOI: 10.1016/j.euo.2021.03.004] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 02/21/2021] [Accepted: 03/19/2021] [Indexed: 02/06/2023]
Abstract
BACKGROUND While magnetic resonance imaging (MRI)-targeted biopsy (TBx) results in better prostate cancer (PCa) detection relative to systematic biopsy (SBx), the combination of both methods increases clinically significant PCa detection relative to either Bx method alone. However, combined Bx subjects patients to higher number of Bx cores and greater detection of clinically insignificant PCa. OBJECTIVE To determine if prebiopsy prostate MRI can identify men who could forgo combined Bx without a substantial risk of missing clinically significant PCa (csPC). DESIGN, SETTING, AND PARTICIPANTS Men with MRI-visible prostate lesions underwent combined TBx plus SBx. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS The primary outcomes were detection rates for grade group (GG) ≥2 and GG ≥3 PCa by TBx and SBx, stratified by Prostate Imaging-Reporting and Data System (PI-RADS) score. RESULTS AND LIMITATIONS Among PI-RADS 5 cases, nearly all csPCs were detected by TBx, as adding SBx resulted in detection of only 2.5% more GG ≥2 cancers. Among PI-RADS 3-4 cases, however, SBx addition resulted in detection of substantially more csPCs than TBx alone (7.5% vs 8%). Conversely, TBx added little to detection of csPC among men with PI-RADS 2 lesions (2%) relative to SBx (7.8%). CONCLUSIONS While combined Bx increases the detection of csPC among men with MRI-visible prostate lesions, this benefit was largely restricted to PI-RADS 3-4 lesions. Using a strategy of TBx only for PI-RADS 5 and combined Bx only for PI-RADS 3-4 would avoid excess biopsies for men with PI-RADS 5 lesions while resulting in a low risk of missing csPC (1%). PATIENT SUMMARY Our study investigated an optimized strategy to diagnose aggressive prostate cancer in men with an abnormal prostate MRI (magnetic resonance imaging) scan while minimizing the risk of excess biopsies. We used a scoring system for MRI scan images called PI-RADS. The results show that MRI-targeted biopsies alone could be used for men with a PI-RADS score of 5, while men with a PI-RADS score of 3 or 4 would benefit from a combination of MRI-targeted biopsy and systematic biopsy. This trial is registered at ClinicalTrials.gov as NCT00102544.
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27
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Wiacek A, Lediju Bell MA. Photoacoustic-guided surgery from head to toe [Invited]. BIOMEDICAL OPTICS EXPRESS 2021; 12:2079-2117. [PMID: 33996218 PMCID: PMC8086464 DOI: 10.1364/boe.417984] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 02/17/2021] [Accepted: 02/18/2021] [Indexed: 05/04/2023]
Abstract
Photoacoustic imaging-the combination of optics and acoustics to visualize differences in optical absorption - has recently demonstrated strong viability as a promising method to provide critical guidance of multiple surgeries and procedures. Benefits include its potential to assist with tumor resection, identify hemorrhaged and ablated tissue, visualize metal implants (e.g., needle tips, tool tips, brachytherapy seeds), track catheter tips, and avoid accidental injury to critical subsurface anatomy (e.g., major vessels and nerves hidden by tissue during surgery). These benefits are significant because they reduce surgical error, associated surgery-related complications (e.g., cancer recurrence, paralysis, excessive bleeding), and accidental patient death in the operating room. This invited review covers multiple aspects of the use of photoacoustic imaging to guide both surgical and related non-surgical interventions. Applicable organ systems span structures within the head to contents of the toes, with an eye toward surgical and interventional translation for the benefit of patients and for use in operating rooms and interventional suites worldwide. We additionally include a critical discussion of complete systems and tools needed to maximize the success of surgical and interventional applications of photoacoustic-based technology, spanning light delivery, acoustic detection, and robotic methods. Multiple enabling hardware and software integration components are also discussed, concluding with a summary and future outlook based on the current state of technological developments, recent achievements, and possible new directions.
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Affiliation(s)
- Alycen Wiacek
- Department of Electrical and Computer Engineering, 3400 N. Charles St., Johns Hopkins University, Baltimore, MD 21218, USA
| | - Muyinatu A. Lediju Bell
- Department of Electrical and Computer Engineering, 3400 N. Charles St., Johns Hopkins University, Baltimore, MD 21218, USA
- Department of Biomedical Engineering, 3400 N. Charles St., Johns Hopkins University, Baltimore, MD 21218, USA
- Department of Computer Science, 3400 N. Charles St., Johns Hopkins University, Baltimore, MD 21218, USA
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28
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Shackleton EG, Ali HY, Khan M, Pockley GA, McArdle SE. Novel Combinatorial Approaches to Tackle the Immunosuppressive Microenvironment of Prostate Cancer. Cancers (Basel) 2021; 13:1145. [PMID: 33800156 PMCID: PMC7962457 DOI: 10.3390/cancers13051145] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 02/26/2021] [Accepted: 02/28/2021] [Indexed: 12/13/2022] Open
Abstract
Prostate cancer (PCa) is the second-most common cancer in men worldwide and treatment options for patients with advanced or aggressive prostate cancer or recurrent disease continue to be of limited success and are rarely curative. Despite immune checkpoint blockade (ICB) efficacy in some melanoma, lung, kidney and breast cancers, immunotherapy efforts have been remarkably unsuccessful in PCa. One hypothesis behind this lack of efficacy is the generation of a distinctly immunosuppressive prostate tumor microenvironment (TME) by regulatory T cells, MDSCs, and type 2 macrophages which have been implicated in a variety of pathological conditions including solid cancers. In PCa, Tregs and MDSCs are attracted to TME by low-grade chronic inflammatory signals, while tissue-resident type 2 macrophages are induced by cytokines such as IL4, IL10, IL13, transforming growth factor beta (TGFβ) or prostaglandin E2 (PGE2) produced by Th2 cells. These then drive tumor progression, therapy resistance and the generation of castration resistance, ultimately conferring a poor prognosis. The biology of MDSC and Treg is highly complex and the development, proliferation, maturation or function can each be pharmacologically mediated to counteract the immunosuppressive effects of these cells. Herein, we present a critical review of Treg, MDSC and M2 involvement in PCa progression but also investigate a newly recognized type of immune suppression induced by the chronic stimulation of the sympathetic adrenergic signaling pathway and propose targeted strategies to be used in a combinatorial modality with immunotherapy interventions such as ICB, Sipuleucel-T or antitumor vaccines for an enhanced anti-PCa tumor immune response. We conclude that a strategic sequence of therapeutic interventions in combination with additional holistic measures will be necessary to achieve maximum benefit for PCa patients.
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Affiliation(s)
- Erin G. Shackleton
- John van Geest Cancer Research Centre, School of Science and Technology, Nottingham Trent University, Nottingham NG11 8NS, UK; (E.G.S.); (H.Y.A.); (G.A.P.)
| | - Haleema Yoosuf Ali
- John van Geest Cancer Research Centre, School of Science and Technology, Nottingham Trent University, Nottingham NG11 8NS, UK; (E.G.S.); (H.Y.A.); (G.A.P.)
| | - Masood Khan
- Department of Urology, University Hospitals of Leicester NHS Trust, Leicester LE1 5WW, UK;
| | - Graham A. Pockley
- John van Geest Cancer Research Centre, School of Science and Technology, Nottingham Trent University, Nottingham NG11 8NS, UK; (E.G.S.); (H.Y.A.); (G.A.P.)
- Centre for Health, Ageing and Understanding Disease, School of Science and Technology, Nottingham Trent University, Nottingham NG11 8NS, UK
| | - Stephanie E. McArdle
- John van Geest Cancer Research Centre, School of Science and Technology, Nottingham Trent University, Nottingham NG11 8NS, UK; (E.G.S.); (H.Y.A.); (G.A.P.)
- Centre for Health, Ageing and Understanding Disease, School of Science and Technology, Nottingham Trent University, Nottingham NG11 8NS, UK
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Cheng X, Xu J, Chen Y, Liu Z, Sun G, Yang L, Yao J, Zeng H, Song B. Is Additional Systematic Biopsy Necessary in All Initial Prostate Biopsy Patients With Abnormal MRI? Front Oncol 2021; 11:643051. [PMID: 33718240 PMCID: PMC7952882 DOI: 10.3389/fonc.2021.643051] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Accepted: 01/14/2021] [Indexed: 02/05/2023] Open
Abstract
Purpose To determine whether additional systematic biopsy is necessary in all biopsy naïve patients with MRI visible lesions by taking PI-RADS score and prostate volume into consideration. Materials and Methods Patients who underwent combined systematic biopsy (SB) and cognitive MRI-targeted biopsy (TB) in our hospital between May 2018 and June 2020 were retrospectively reviewed. The detection rate of clinical significant prostate cancer (csPCa), biopsy grade group (GG) concordance, and disease upgrading rate on radical prostatectomy were compared between SB and TB and further stratified by PI-RADS v2.0 category and prostate volume. Results A total of 234 patients were analyzed in this study. TB alone detected more csPCa and less clinically insignificant prostate cancer (cisPCa) than SB alone in the whole cohort (57.3 vs 53%, P = 0.041; 3.8 vs 7.7%, P = 0.049 respectively). The additional SB indicated only a marginal increase of csPCa detection but a remarkable increase of cisPCa detection compared with targeted biopsy (59.4 vs 57.3%, P = 0.064; 3.8 vs 7.7%, P = 0.012). As stratified by PI-RADS category, the difference of csPCa detection rate between TB and SB was not significant either in PI-RADS 5 subgroup (83.8 vs 76.3%, P = 0.07) or in PI-RADS 3–4 subgroup (43.5 vs 40.9%, P = 1.0). Additional SB decreased the rate of disease upgrading on radical prostatectomy (RP) than TB alone in PI-RADS 3–4 subgroup (14.5 vs 25.5%, P = 0.031) other than PI-RADS 5 subgroup (6 vs 6%, P = 1.0). When stratified by prostate volume (PV), TB alone detected more csPCa than SB in small prostate (PV < 30 ml) group (81.0 vs 71.0%, P = 0.021) but not in large prostate (PV ≥ 30 ml) group (44.0 vs 42.7%, P = 0.754). The additional SB did not significantly decrease the rate of disease upgrading on RP than TB alone in either small or large prostate (6.4 vs 8.5%, P = 1.0; 13.8 vs 22.4%, P = 0.063). Conclusion The combination biopsy method was no superior than targeted biopsy alone in PI-RADS 5 or in small volume prostate subgroup.
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Affiliation(s)
- Xueqing Cheng
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Jinshun Xu
- Department of Ultrasound, West China Hospital, Sichuan University, Chengdu, China
| | - Yuntian Chen
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Zhenhua Liu
- Department of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Guangxi Sun
- Department of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Ling Yang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Jin Yao
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Hao Zeng
- Department of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Bin Song
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
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30
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Sun R, Fast A, Kirkpatrick I, Cho P, Saranchuk J. Assessment of magnetic resonance imaging (MRI)-fusion prostate biopsy with concurrent standard systematic ultrasound-guided biopsy among men requiring repeat biopsy. Can Urol Assoc J 2021; 15:E495-E500. [PMID: 33591902 DOI: 10.5489/cuaj.6991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
INTRODUCTION The role of magnetic resonance imaging (MRI)-fusion biopsy (FB) remains unclear in men with prior negative prostate biopsies. This study aimed to compare the diagnostic accuracy of FB with concurrent systematic biopsy (SB) in patients requiring repeat prostate biopsies. METHODS Patients with previous negative prostate biopsies requiring repeat biopsies were included. Those without suspicious lesions (≥Prostate Imaging-Reporting and Data System [PI-RADS] 3) on MRI were excluded. All patients underwent FB followed by SB. The primary outcome was the sensitivity for clinically significant prostate cancer (Gleason score ≥7). The secondary objective was identification of potential predictive factors of biopsy performance. RESULTS A total of 53 patients were included; 41 (77%) patients were found to have clinically significant prostate cancer. FB had a higher detection rate of significant cancer compared to SB (85% vs. 76%, respectively, p=0.20) and lower diagnosis of indolent (Gleason score 3+3=6) cancer (10% vs. 27%, respectively, p=0.05). FB alone missed six (15%) clinically significant cancers, compared to 10 (24%) with SB. SB performance was significantly impaired in patients with anterior lesions and high prostate volumes (p<0.05). There was high degree of pathological discordance between the two approaches, with concordance seen in only 34% of patients. CONCLUSIONS In patients with prior negative biopsies and ongoing suspicion for prostate cancer, a combined approach of FB with SB is needed for optimal detection and risk classification of clinically significant disease. Anterior tumors and large prostates were significant predictors of poor SB performance and an MRI-fusion alone approach in these settings could be considered.
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Affiliation(s)
- Ryan Sun
- University of Manitoba Winnipeg, MB, Canada
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31
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Henning GM, Vetter JM, Sterling JA, Andriole GL, Kim IY, Kim EH. Factors associated with higher prostate biopsy yield: when is software-assisted fusion MRI-targeting necessary? Urol Oncol 2020; 39:234.e15-234.e19. [PMID: 33353869 DOI: 10.1016/j.urolonc.2020.11.018] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2020] [Revised: 10/10/2020] [Accepted: 11/11/2020] [Indexed: 12/13/2022]
Abstract
OBJECTIVE To evaluate the addition of software-assisted fusion magnetic resonance imaging (MRI) targeted biopsy to systematic biopsy and determine clinical and imaging factors associated with improved prostate cancer (PCa) detection. METHODS We analyzed 454 patients who had prostate MRI and underwent combined systematic and software-assisted fusion MRI-targeted biopsy at 2 academic centers between July 2015 and December 2017. For our analysis, we compared the Gleason grade group of cores obtained systematically to cores obtained using MRI-targeting. Using multivariable analysis, we examined clinical and imaging factors associated with higher grade group disease in MRI-targeted cores. RESULTS Software assisted fusion MRI-targeted biopsy detected higher grade group disease in 18.3% of patients. Factors associated with higher grade group disease in MRI-targeted cores included anterior MRI lesion location (odds ratio [OR] 3.15, P< 0.01) and multiple lesions on MRI (OR 2.47, P = 0.01). Increasing prostate volume per cubic centimeter was noted to be negatively associated (OR 0.98, P = 0.02). Notably, factors not found to be associated with improved detection included PIRADS classification 5 compared to 3 (OR 2.47, P = 0.08), PIRADS classification 4 compared to 3 (OR 1.37, P = 0.50), previous negative biopsy (OR 1.48, P = 0.29), inclusion on an active surveillance protocol (OR 1.36, P = 0.48), transitional zone lesion location (OR 0.72, P = 0.45), and institution at which biopsy was performed (OR 1.81, P = 0.16). CONCLUSION Adding software-assisted fusion MRI-targeting to systematic prostate biopsy offers benefit for men with an anterior and multiple MRI lesions. In absence of these factors, systematic biopsy alone or with cognitive fusion may be considered.
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Affiliation(s)
| | - Joel M Vetter
- Washington University School of Medicine, St. Louis, MO
| | | | | | - Isaac Y Kim
- Robert Wood Johnson Medical School, New Brunswick, NJ
| | - Eric H Kim
- Washington University School of Medicine, St. Louis, MO
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32
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Schiavina R, Droghetti M, Novara G, Bianchi L, Gaudiano C, Panebianco V, Borghesi M, Piazza P, Mineo Bianchi F, Guerra M, Corcioni B, Fiorentino M, Giunchi F, Verze P, Pultrone C, Golfieri R, Porreca A, Mirone V, Brunocilla E. The role of multiparametric MRI in active surveillance for low-risk prostate cancer: The ROMAS randomized controlled trial. Urol Oncol 2020; 39:433.e1-433.e7. [PMID: 33191117 DOI: 10.1016/j.urolonc.2020.10.018] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Revised: 10/19/2020] [Accepted: 10/22/2020] [Indexed: 11/30/2022]
Abstract
BACKGROUND We aim to evaluate the impact of multiparametric magnetic resonance imaging and fusion-target biopsy for early reclassification of patients with low-risk Prostate Cancer in a randomized trial. MATERIALS AND METHODS Between 2015 and 2018, patients diagnosed with Prostate Cancer after random biopsy fulfilling PRIAS criteria were enrolled and centrally randomized (1:1 ratio) to study group or control group. Patients randomized to study group underwent multiparametric magnetic resonance imaging at 3 months from enrollment: patients with positive findings (PIRADS-v2>2) underwent fusion-target biopsy; patients with negative multiparametric magnetic resonance imaging or confirmed ISUP - Grade Group 1 at fusion-target biopsy were managed according to PRIAS schedule and 12-core random biopsy was performed at 12 months. Patients in control group underwent PRIAS protocol, including a confirmatory 12-core random biopsy at 12 months. Primary endpoint was a reduction of reclassification rate at 12-month random biopsy in study group at least 20% less than controls. Reclassification was defined as biopsy ISUP Grade Group 1 in >2 biopsy cores or disease upgrading. RESULTS A total of 124 patients were randomized to study group (n = 62) or control group (n = 62). Around 21 of 62 patients (34%) in study group had a positive multiparametric magnetic resonance imaging, and underwent fusion-target biopsy, with 11 (17.7%) reclassifications. Considering the intention-to-treat population, reclassification rate at 12-month random biopsy was 6.5% for study group and 29% for control group, respectively (P < 0.001). CONCLUSIONS The early employment of multiparametric magnetic resonance imaging for active surveillance patients enrolled after random biopsy consents to significantly reduce reclassifications at 12-month random biopsy.
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Affiliation(s)
- Riccardo Schiavina
- Department of Urology, S.Orsola-Malpighi University Hospital, University of Bologna, Bologna, Italy
| | - Matteo Droghetti
- Department of Urology, S.Orsola-Malpighi University Hospital, University of Bologna, Bologna, Italy.
| | - Giacomo Novara
- Department of Surgery, Oncology, and Gastroenterology - Urology Clinic University of Padua, Padua, Italy
| | - Lorenzo Bianchi
- Department of Urology, S.Orsola-Malpighi University Hospital, University of Bologna, Bologna, Italy
| | - Caterina Gaudiano
- Department of Radiology, S.Orsola-Malpighi University Hospital, University of Bologna, Bologna, Italy
| | | | - Marco Borghesi
- Department of Urology, S.Orsola-Malpighi University Hospital, University of Bologna, Bologna, Italy
| | - Pietro Piazza
- Department of Urology, S.Orsola-Malpighi University Hospital, University of Bologna, Bologna, Italy
| | - Federico Mineo Bianchi
- Department of Urology, S.Orsola-Malpighi University Hospital, University of Bologna, Bologna, Italy
| | - Marco Guerra
- Department of Urology, S.Orsola-Malpighi University Hospital, University of Bologna, Bologna, Italy
| | - Beniamino Corcioni
- Department of Radiology, S.Orsola-Malpighi University Hospital, University of Bologna, Bologna, Italy
| | - Michelangelo Fiorentino
- Department of Pathology, S.Orsola-Malpighi University Hospital, University of Bologna, Bologna, Italy
| | - Francesca Giunchi
- Department of Pathology, S.Orsola-Malpighi University Hospital, University of Bologna, Bologna, Italy
| | - Paolo Verze
- Department of Medicine, Surgery, Dentistry "Scuola Medica Salernitana", University of Salerno, Salerno, Italy
| | - Cristian Pultrone
- Department of Urology, S.Orsola-Malpighi University Hospital, University of Bologna, Bologna, Italy
| | - Rita Golfieri
- Department of Radiology, S.Orsola-Malpighi University Hospital, University of Bologna, Bologna, Italy
| | - Angelo Porreca
- Department of Urology, Policlinico Abano Terme, Abano Terme, Italy
| | - Vincenzo Mirone
- Department of Urology, University of Naples, Federico II, Naples, Italy
| | - Eugenio Brunocilla
- Department of Urology, S.Orsola-Malpighi University Hospital, University of Bologna, Bologna, Italy
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Bodar YJL, Jansen BHE, van der Voorn JP, Zwezerijnen GJC, Meijer D, Nieuwenhuijzen JA, Boellaard R, Hendrikse NH, Hoekstra OS, van Moorselaar RJA, Oprea-Lager DE, Vis AN. Detection of prostate cancer with 18F-DCFPyL PET/CT compared to final histopathology of radical prostatectomy specimens: is PSMA-targeted biopsy feasible? The DeTeCT trial. World J Urol 2020; 39:2439-2446. [PMID: 33079250 PMCID: PMC8332599 DOI: 10.1007/s00345-020-03490-8] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Accepted: 10/07/2020] [Indexed: 11/01/2022] Open
Abstract
PURPOSE In primary prostate cancer (PCa) patients, accurate staging and histologic grading are crucial to guide treatment decisions. 18F-DCFPyL (PSMA)-PET/CT has been successfully introduced for (re)staging PCa, showing high accuracy to localise PCa in lymph nodes and/or osseous structures. The diagnostic performance of 18F-DCFPyL-PET/CT in localizing primary PCa within the prostate gland was assessed, allowing for PSMA-guided targeted-prostate biopsy. METHODS Thirty patients with intermediate-/high-risk primary PCa were prospectively enrolled between May 2018 and May 2019 and underwent 18F-DCFPyL-PET/CT prior to robot-assisted radical prostatectomy (RARP). Two experienced and blinded nuclear medicine physicians assessed tumour localisation within the prostate gland on PET/CT, using a 12-segment mapping model of the prostate. The same model was used by a uro-pathologist for the RARP specimens. Based on PET/CT imaging, a potential biopsy recommendation was given per patient, based on the size and PET-intensity of the suspected PCa localisations. The biopsy recommendation was correlated to final histopathology in the RARP specimen. Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) for clinically significant PCa (csPCa, Gleason score ≥ 3 + 4 = 7) were assessed. RESULTS The segments recommended for potential targeted biopsy harboured csPCA in 28/30 patients (93%), and covered the highest Gleason score PCa segment in 26/30 patient (87%). Overall, 122 of 420 segments (29.0%) contained csPCa at final histopathological examination. Sensitivity, specificity, PPV and NPV for csPCa per segment using 18F-DCFPyL-PET/CT were 61.4%, 88.3%, 68.1% and 84.8%, respectively. CONCLUSIONS When comparing the PCa-localisation on 18F-DCFPyL-PET/CT with the RARP specimens, an accurate per-patient detection (93%) and localisation of csPCa was found. Thus, 18F-DCFPyL-PET/CT potentially allows for accurate PSMA-targeted biopsy.
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Affiliation(s)
- Y J L Bodar
- Department of Urology, Amsterdam University Medical Centres (VU University), De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands. .,Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centres (VU University), Amsterdam, The Netherlands. .,Prostate Cancer Network, Amsterdam, The Netherlands.
| | - B H E Jansen
- Department of Urology, Amsterdam University Medical Centres (VU University), De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.,Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centres (VU University), Amsterdam, The Netherlands.,Prostate Cancer Network, Amsterdam, The Netherlands
| | - J P van der Voorn
- Department of Pathology, Amsterdam University Medical Centres (VU University), Amsterdam, The Netherlands
| | - G J C Zwezerijnen
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centres (VU University), Amsterdam, The Netherlands
| | - D Meijer
- Department of Urology, Amsterdam University Medical Centres (VU University), De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.,Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centres (VU University), Amsterdam, The Netherlands.,Prostate Cancer Network, Amsterdam, The Netherlands
| | - J A Nieuwenhuijzen
- Department of Urology, Amsterdam University Medical Centres (VU University), De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.,Prostate Cancer Network, Amsterdam, The Netherlands
| | - R Boellaard
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centres (VU University), Amsterdam, The Netherlands
| | - N H Hendrikse
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centres (VU University), Amsterdam, The Netherlands.,Department of Clinical Pharmacology and Pharmacy, Amsterdam University Medical Centres (VU University), Amsterdam, The Netherlands
| | - O S Hoekstra
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centres (VU University), Amsterdam, The Netherlands
| | - R J A van Moorselaar
- Department of Urology, Amsterdam University Medical Centres (VU University), De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.,Prostate Cancer Network, Amsterdam, The Netherlands
| | - D E Oprea-Lager
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centres (VU University), Amsterdam, The Netherlands
| | - A N Vis
- Department of Urology, Amsterdam University Medical Centres (VU University), De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.,Prostate Cancer Network, Amsterdam, The Netherlands
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Kim SH. Determination of Gleason score discrepancy for risk stratification in magnetic resonance-ultrasound fusion prostate biopsy. Acta Radiol 2020; 61:1134-1142. [PMID: 31825763 DOI: 10.1177/0284185119891695] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Magnetic resonance imaging (MRI)-ultrasound (US) fusion biopsy remains challenging and highlights the need towards standardization. PURPOSE To characterize the clinical and MRI features of clinically significant prostate cancer (csPCa) with discrepant Gleason score (GS) in MRI-US fusion biopsy. MATERIAL AND METHODS A total of 400 consecutive patients with suspected cancer lesions who underwent MRI-US fusion biopsy and subsequent prostatectomy were included. In the comparison of biopsy GS with pathology GS, matched lesions were defined as a GS, and discrepant lesions were defined as an upgrade of the GS. Descriptive statistics were used to define clinical characteristics, including age, prostate-specific antigen (PSA), PSA density, and maximal cancer core length (MCCL). Differences between lesions with matched and discrepant GS were determined considering the location and PI-RADS v2 score. A paired comparison of the volumes between the two groups was performed. RESULTS There were 130 lesions with discrepant GS in 124 patients. There was no significant difference in the age, PSA, and PSA density between the two groups, except for the MCCL (P = 0.028). The lesions were distributed in the peripheral (n = 88) and transition (n = 42) zones; 33, 50, and 47 lesions were at the apex, mid-gland, and base levels, respectively. PI-RADS scores were as follows: 2 (n = 5), 3 (n = 8), 4 (n = 68), and 5 (n = 39). In comparison with matched lesions, discrepant lesions had significantly smaller multiparametric MRI-measured cancer volumes (P < 0.05). CONCLUSION Knowledge of discrepant GS in MRI-US fusion biopsy is important, and a careful approach is needed to reduce this discrepancy.
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Affiliation(s)
- See Hyung Kim
- Departmet of Radiology, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, Republic of Korea
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35
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Abstract
The role of prostate MRI in clinical practice has continued to broaden over time. Multiple iterations of PI-RADS reporting have aided in improving detection and reporting of prostate cancer. In addition, recent recommendations from the PI-RADS Steering Committee promote an MRI-first approach with an MRI-directed prostate cancer diagnostic pathway. It is imperative for radiologists to be knowledgeable and familiar with prostate MRI and PI-RADS recommendations, as there is an increasing demand for prostate imaging by clinicians and patients alike.
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Affiliation(s)
- Grace C Lo
- Division of Body Imaging, Department of Radiology, Weill Cornell Medicine, 525 East 68th Street, Box 141, New York, NY, 10065, USA.
| | - Daniel J A Margolis
- Division of Body Imaging, Department of Radiology, Weill Cornell Medicine, 525 East 68th Street, Box 141, New York, NY, 10065, USA
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36
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Gordetsky JB, Hirsch MS, Rais-Bahrami S. MRI-targeted prostate biopsy: key considerations for pathologists. Histopathology 2020; 77:18-25. [PMID: 32278319 DOI: 10.1111/his.14113] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Revised: 03/27/2020] [Accepted: 04/03/2020] [Indexed: 01/11/2023]
Abstract
We discuss the role of the pathologist for MRI-targeted prostate biopsy with a focus on specimen processing, reporting of pathological findings and quality assurance in establishing a successful MRI-targeted biopsy programme. The authors discuss the current issues relevant to pathologists regarding MRI-targeted prostate biopsy. In addition, a brief review of the recently published literature was performed using an English literature search on PubMed with a focus on original investigations related to MRI-targeted prostate biopsy. Our search terms included the following: 'prostate cancer', 'pathology', 'histology', 'reporting', 'cores', 'imaging', 'MRI' and 'mpMRI'. Prostate multiparametric magnetic resonance imaging (mp-MRI) and MRI-targeted biopsy has been shown to improve the diagnosis of clinically significant prostatic adenocarcinoma and can affect the management of patients with prostate cancer. The current active surveillance guidelines were based on data from TRUS biopsies and not MRI-targeted biopsies. MRI-targeted biopsy acquires multiple cores of tissue from one or more suspicious lesions found on mp-MRI. The way in which multiple targeted core biopsies obtained from a single image-directed region of interest are analysed and reported can potentially alter the Gleason score and tumour burden as reported on biopsy, which could undoubtedly alter patient management. Pathologists play an important role in the reporting of MRI-targeted prostate biopsies. How we report prostate cancer grade and extent on these biopsies can influence patient management. In addition, the pathologist should be involved in the quality assurance for patients undergoing MRI-targeted prostate biopsy.
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Affiliation(s)
- Jennifer B Gordetsky
- Department of Pathology, Vanderbilt University Medical Center, Nashville, TN, USA.,Department of Urology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Michelle S Hirsch
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Soroush Rais-Bahrami
- Department of Urology, University of Alabama at Birmingham, Birmingham, AL, USA.,Department of Radiology, University of Alabama at Birmingham, Birmingham, AL, USA.,O'Neal Comprehensive Cancer Center at UAB, University of Alabama at Birmingham, Birmingham, AL, USA
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37
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Mannaerts CK, Engelbrecht MRW, Postema AW, van Kollenburg RAA, Hoeks CMA, Savci-Heijink CD, Van Sloun RJG, Wildeboer RR, De Reijke TM, Mischi M, Wijkstra H. Detection of clinically significant prostate cancer in biopsy-naïve men: direct comparison of systematic biopsy, multiparametric MRI- and contrast-ultrasound-dispersion imaging-targeted biopsy. BJU Int 2020; 126:481-493. [PMID: 32315112 DOI: 10.1111/bju.15093] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
OBJECTIVES To compare and evaluate a multiparametric magnetic resonance imaging (mpMRI)-targeted biopsy (TBx) strategy, contrast-ultrasound-dispersion imaging (CUDI)-TBx strategy and systematic biopsy (SBx) strategy for the detection of clinically significant prostate cancer (csPCa) in biopsy-naïve men. PATIENTS AND METHODS A prospective, single-centre paired diagnostic study included 150 biopsy-naïve men, from November 2015 to November 2018. All men underwent pre-biopsy mpMRI and CUDI followed by a 12-core SBx taken by an operator blinded from the imaging results. Men with suspicious lesions on mpMRI and/or CUDI also underwent MRI-TRUS fusion-TBx and/or cognitive CUDI-TBx after SBx by a second operator. A non-inferiority analysis of the mpMRI- and CUDI-TBx strategies in comparison with SBx for International Society of Urological Pathology Grade Group [GG] ≥2 PCa in any core with a non-inferiority margin of 1 percentage point was performed. Additional analyses for GG ≥2 PCa with cribriform growth pattern and/or intraductal carcinoma (CR/IDC), and GG ≥3 PCa were performed. Differences in detection rates were tested using McNemar's test with adjusted Wald confidence intervals. RESULTS After enrolment of 150 men, an interim analysis was performed. Both the mpMRI- and CUDI-TBx strategies were inferior to SBx for GG ≥2 PCa detection and the study was stopped. SBx found significantly more GG ≥2 PCa: 39% (56/142), as compared with 29% (41/142) and 28% (40/142) for mpMRI-TBx and CUDI-TBx, respectively (P < 0.05). SBx found significantly more GG = 1 PCa: 14% (20/142) compared to 1% (two of 142) and 3% (four of 142) with mpMRI-TBx and CUDI-TBx, respectively (P < 0.05). Detection of GG ≥2 PCa with CR/IDC and GG ≥3 PCa did not differ significantly between the strategies. The mpMRI- and CUDI-TBx strategies were comparable in detection but the mpMRI-TBx strategy had less false-positive findings (18% vs 53%). CONCLUSIONS In our study in biopsy-naïve men, the mpMRI- and CUDI-TBx strategies had comparable PCa detection rates, but the mpMRI-TBX strategy had the least false-positive findings. Both strategies were inferior to SBx for the detection of GG ≥2 PCa, despite reduced detection of insignificant GG = 1 PCa. Both strategies did not significantly differ from SBx for the detection of GG ≥2 PCa with CR/IDC and GG ≥3 PCa.
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Affiliation(s)
- Christophe K Mannaerts
- Department of Urology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Marc R W Engelbrecht
- Department of Radiology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Arnoud W Postema
- Department of Urology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Rob A A van Kollenburg
- Department of Urology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Caroline M A Hoeks
- Department of Radiology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Cemile Dilara Savci-Heijink
- Department of Pathology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Ruud J G Van Sloun
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Rogier R Wildeboer
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Theo M De Reijke
- Department of Urology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Massimo Mischi
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Hessel Wijkstra
- Department of Urology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands.,Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
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Pinto AR, Silva J, Pinto R, Medeiros R. Aggressive prostate cancer phenotype and genome-wide association studies: where are we now? Pharmacogenomics 2020; 21:487-503. [PMID: 32343194 DOI: 10.2217/pgs-2019-0123] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
The majority of prostate cancer (PCa) is indolent, however, a percentage of patients are initially diagnosed with metastatic disease, for which there is a worse prognosis. There is a lack of biomarkers to identify men at greater risk for developing aggressive PCa. Genome-wide association studies (GWAS) scan the genome to search associations of SNPs with specific traits, like cancer. To date, eight GWAS have resulted in the reporting of 16 SNPs associated with aggressive PCa (p < 5.00 × 10-2). Still, validation studies need to be conducted to confirm the obtained results as GWAS can generate false-positive results. Furthermore, post-GWAS studies provide a better understanding of the functional consequences.
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Affiliation(s)
- Ana R Pinto
- Molecular Oncology & Viral Pathology Group, IPO-Porto Research Center, (CI-IPOP) Portuguese Oncology Institute of Porto (IPO-Porto), Rua Dr. António Bernardino de Almeida, 4200-4072 Porto, Portugal.,ICBAS, Abel Salazar Institute for the Biomedical Sciences, Rua de Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal
| | - Jani Silva
- Molecular Oncology & Viral Pathology Group, IPO-Porto Research Center, (CI-IPOP) Portuguese Oncology Institute of Porto (IPO-Porto), Rua Dr. António Bernardino de Almeida, 4200-4072 Porto, Portugal
| | - Ricardo Pinto
- Molecular Oncology & Viral Pathology Group, IPO-Porto Research Center, (CI-IPOP) Portuguese Oncology Institute of Porto (IPO-Porto), Rua Dr. António Bernardino de Almeida, 4200-4072 Porto, Portugal
| | - Rui Medeiros
- Molecular Oncology & Viral Pathology Group, IPO-Porto Research Center, (CI-IPOP) Portuguese Oncology Institute of Porto (IPO-Porto), Rua Dr. António Bernardino de Almeida, 4200-4072 Porto, Portugal.,Research Department, Portuguese League Against Cancer (NRNorte), Estrada Interior da Circunvalação, 6657, 4200-172 Porto, Portugal.,CEBIMED, Faculty of Health Sciences, Fernando Pessoa University, Praça 9 de Abril, 349, 4249-004 Porto, Portugal
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Falaschi Z, Valenti M, Lanzo G, Attanasio S, Valentini E, García Navarro LI, Aquilini F, Stecco A, Carriero A. Accuracy of ADC ratio in discriminating true and false positives in multiparametric prostatic MRI. Eur J Radiol 2020; 128:109024. [PMID: 32387923 DOI: 10.1016/j.ejrad.2020.109024] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 04/14/2020] [Accepted: 04/15/2020] [Indexed: 01/17/2023]
Abstract
PURPOSE Our goal was to evaluate the usefulness of apparent diffusion coefficient (ADC) ratios in discriminating true from false positives in multiparametric (mp) prostate MRI in clinical practice. METHODS We retrospectively evaluated 98 prostate lesions in a series of 73 patients who had undergone prostate mpMRI and standard 12-core prostatic biopsy in our institution from 2016 to 2018. Two experienced radiologists performed double blind ADC value quantifications of both MRI-identified lesions and apparently benign contralateral prostatic parenchyma in a circular region of interest (ROI) of ∼10 mm2. The ratios between the mean values of both measurements (i.e., ADC ratio mean) and between the minimum value of the lesion and the maximum value of the benign parenchyma (i.e., ADC ratio min-max) were automatically calculated. The malignancy of all lesions was determined through biopsy according to Gleason score (GS ≥ 6) and localization. RESULTS For Reader 1, the area under the ROC curve (AUC) of ADC ratio mean and ADC ratio min-max were 0.72 and 0.67, respectively, whereas for Reader 2 these values were 0.74 and 0.71, respectively. The best cut-off values for ADC ratio means were ≥ 0.5 (Reader 1) and ≥ 0.6 (Reader 2), with a sensitivity of 76.3 % and 84.2 % and a specificity of 51.7 % and 50 %, respectively. Moreover, based on a threshold of 0.6, no clinically significant prostate cancer (csPCa) was missed by Reader 1, while only one went unnoticed by Reader 2. CONCLUSION The ADC ratio is a useful and moderately accurate complementary tool to diagnose prostate cancer in the mp-MRI.
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Affiliation(s)
- Zeno Falaschi
- Azienda Ospedaliero-Universitaria Maggiore della Carita, Novara, NO, Italy.
| | - Martina Valenti
- Azienda Ospedaliero-Universitaria Maggiore della Carita, Novara, NO, Italy
| | - Giuseppe Lanzo
- Azienda Ospedaliero-Universitaria Maggiore della Carita, Novara, NO, Italy
| | - Silvia Attanasio
- Azienda Ospedaliero-Universitaria Maggiore della Carita, Novara, NO, Italy
| | - Eleonora Valentini
- Azienda Ospedaliero-Universitaria Maggiore della Carita, Novara, NO, Italy
| | | | | | - Alessandro Stecco
- Azienda Ospedaliero-Universitaria Maggiore della Carita, Novara, NO, Italy
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40
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Tao T, Shen D, Yuan L, Zeng A, Xia K, Li B, Ge Q, Xiao J. Establishing a novel prediction model for improving the positive rate of prostate biopsy. Transl Androl Urol 2020; 9:574-582. [PMID: 32420162 PMCID: PMC7215001 DOI: 10.21037/tau.2019.12.42] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
Background At present, prostate-specific antigen (PSA) is the primary evaluation index for judging the necessity of prostate cancer (PCa) biopsy. However, there is a high false-positive rate and a low predictive value due to many interference factors. In this study, we tried to find a novel prediction model that could improve the positive rate of prostate biopsy and reduce unnecessary biopsy. Methods We retrospectively studied 237 patients, including their age, body mass index (BMI), PSA, prostate volume (PV), prostate imaging-reporting and data system (PI-RADS) v2 score, neutrophil-lymphocyte ratio (NLR), biopsy Gleason score (BGS), and other information. The univariate and multivariate logistic analyses were used to screen out indicators related to PCa. After establishing a prediction formula model, we used receiver operating characteristic (ROC) curves to assess its prediction performance. Results Our study found that age, PSA, PI-RADS v2 score, and diabetes significantly correlated with PCa. Based on multivariate logistic regression analysis results, we created the following prediction formula: Y = 2.599 × PI-RADS v2 score + 1.766 × diabetes + 0.052 × age + 1.005 × PSAD - 9.119. ROC curves showed the formula's threshold was 0.3543. The composite formula had an excellent capacity to detect PCa with the area under the curve (AUC) of 0.91. In addition, the composite formula also achieved significantly better sensitivity, specificity, and diagnostic accuracy than PSA, PSA density (PSAD), and PI-RADS v2 score alone. Conclusions Our predictive formula predicted performance better than PSA, PSAD, and PI-RADS v2 score. It can thus contribute to the diagnosis of PCa and be used as an indicator for prostate biopsy, thereby reducing unnecessary biopsy.
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Affiliation(s)
- Tao Tao
- Department of Urology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China
| | - Deyun Shen
- Department of Urology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China
| | - Lei Yuan
- Department of Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China
| | - Ailiang Zeng
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210006, China.,Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Kaiguo Xia
- Department of Urology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China
| | - Bin Li
- Department of Urology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China
| | - Qingyu Ge
- Department of Urology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China
| | - Jun Xiao
- Department of Urology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China
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Ahdoot M, Wilbur AR, Reese SE, Lebastchi AH, Mehralivand S, Gomella PT, Bloom J, Gurram S, Siddiqui M, Pinsky P, Parnes H, Linehan WM, Merino M, Choyke PL, Shih JH, Turkbey B, Wood BJ, Pinto PA. MRI-Targeted, Systematic, and Combined Biopsy for Prostate Cancer Diagnosis. N Engl J Med 2020; 382:917-928. [PMID: 32130814 PMCID: PMC7323919 DOI: 10.1056/nejmoa1910038] [Citation(s) in RCA: 513] [Impact Index Per Article: 128.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND The use of 12-core systematic prostate biopsy is associated with diagnostic inaccuracy that contributes to both overdiagnosis and underdiagnosis of prostate cancer. Biopsies performed with magnetic resonance imaging (MRI) targeting may reduce the misclassification of prostate cancer in men with MRI-visible lesions. METHODS Men with MRI-visible prostate lesions underwent both MRI-targeted and systematic biopsy. The primary outcome was cancer detection according to grade group (i.e., a clustering of Gleason grades). Grade group 1 refers to clinically insignificant disease; grade group 2 or higher, cancer with favorable intermediate risk or worse; and grade group 3 or higher, cancer with unfavorable intermediate risk or worse. Among the men who underwent subsequent radical prostatectomy, upgrading and downgrading of grade group from biopsy to whole-mount histopathological analysis of surgical specimens were recorded. Secondary outcomes were the detection of cancers of grade group 2 or higher and grade group 3 or higher, cancer detection stratified by previous biopsy status, and grade reclassification between biopsy and radical prostatectomy. RESULTS A total of 2103 men underwent both biopsy methods; cancer was diagnosed in 1312 (62.4%) by a combination of the two methods (combined biopsy), and 404 (19.2%) underwent radical prostatectomy. Cancer detection rates on MRI-targeted biopsy were significantly lower than on systematic biopsy for grade group 1 cancers and significantly higher for grade groups 3 through 5 (P<0.01 for all comparisons). Combined biopsy led to cancer diagnoses in 208 more men (9.9%) than with either method alone and to upgrading to a higher grade group in 458 men (21.8%). However, if only MRI-target biopsies had been performed, 8.8% of clinically significant cancers (grade group ≥3) would have been misclassified. Among the 404 men who underwent subsequent radical prostatectomy, combined biopsy was associated with the fewest upgrades to grade group 3 or higher on histopathological analysis of surgical specimens (3.5%), as compared with MRI-targeted biopsy (8.7%) and systematic biopsy (16.8%). CONCLUSIONS Among patients with MRI-visible lesions, combined biopsy led to more detection of all prostate cancers. However, MRI-targeted biopsy alone underestimated the histologic grade of some tumors. After radical prostatectomy, upgrades to grade group 3 or higher on histopathological analysis were substantially lower after combined biopsy. (Funded by the National Institutes of Health and others; Trio Study ClinicalTrials.gov number, NCT00102544.).
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Affiliation(s)
- Michael Ahdoot
- From the Urologic Oncology Branch (M.A., A.R.W., A.H.L., S.M., P.T.G., J.B., S.G., W.M.L., P.A.P.), the Biometric Research Program, Division of Cancer Treatment and Diagnosis (S.E.R., J.H.S.), the Molecular Imaging Program (S.M., P.L.C., B.T.) and the Translational Surgical Pathology Section (M.M.), Center for Cancer Research, the Division of Cancer Prevention (P.P., H.P.), the Center for Interventional Oncology (B.J.W.), and Interventional Radiology, Radiology and Imaging Sciences, National Institutes of Health Clinical Center (B.J.W.), National Cancer Institute, National Institutes of Health, Bethesda, and the Division of Urology, Department of Surgery, University of Maryland School of Medicine, Baltimore (M.S.) - all in Maryland
| | - Andrew R Wilbur
- From the Urologic Oncology Branch (M.A., A.R.W., A.H.L., S.M., P.T.G., J.B., S.G., W.M.L., P.A.P.), the Biometric Research Program, Division of Cancer Treatment and Diagnosis (S.E.R., J.H.S.), the Molecular Imaging Program (S.M., P.L.C., B.T.) and the Translational Surgical Pathology Section (M.M.), Center for Cancer Research, the Division of Cancer Prevention (P.P., H.P.), the Center for Interventional Oncology (B.J.W.), and Interventional Radiology, Radiology and Imaging Sciences, National Institutes of Health Clinical Center (B.J.W.), National Cancer Institute, National Institutes of Health, Bethesda, and the Division of Urology, Department of Surgery, University of Maryland School of Medicine, Baltimore (M.S.) - all in Maryland
| | - Sarah E Reese
- From the Urologic Oncology Branch (M.A., A.R.W., A.H.L., S.M., P.T.G., J.B., S.G., W.M.L., P.A.P.), the Biometric Research Program, Division of Cancer Treatment and Diagnosis (S.E.R., J.H.S.), the Molecular Imaging Program (S.M., P.L.C., B.T.) and the Translational Surgical Pathology Section (M.M.), Center for Cancer Research, the Division of Cancer Prevention (P.P., H.P.), the Center for Interventional Oncology (B.J.W.), and Interventional Radiology, Radiology and Imaging Sciences, National Institutes of Health Clinical Center (B.J.W.), National Cancer Institute, National Institutes of Health, Bethesda, and the Division of Urology, Department of Surgery, University of Maryland School of Medicine, Baltimore (M.S.) - all in Maryland
| | - Amir H Lebastchi
- From the Urologic Oncology Branch (M.A., A.R.W., A.H.L., S.M., P.T.G., J.B., S.G., W.M.L., P.A.P.), the Biometric Research Program, Division of Cancer Treatment and Diagnosis (S.E.R., J.H.S.), the Molecular Imaging Program (S.M., P.L.C., B.T.) and the Translational Surgical Pathology Section (M.M.), Center for Cancer Research, the Division of Cancer Prevention (P.P., H.P.), the Center for Interventional Oncology (B.J.W.), and Interventional Radiology, Radiology and Imaging Sciences, National Institutes of Health Clinical Center (B.J.W.), National Cancer Institute, National Institutes of Health, Bethesda, and the Division of Urology, Department of Surgery, University of Maryland School of Medicine, Baltimore (M.S.) - all in Maryland
| | - Sherif Mehralivand
- From the Urologic Oncology Branch (M.A., A.R.W., A.H.L., S.M., P.T.G., J.B., S.G., W.M.L., P.A.P.), the Biometric Research Program, Division of Cancer Treatment and Diagnosis (S.E.R., J.H.S.), the Molecular Imaging Program (S.M., P.L.C., B.T.) and the Translational Surgical Pathology Section (M.M.), Center for Cancer Research, the Division of Cancer Prevention (P.P., H.P.), the Center for Interventional Oncology (B.J.W.), and Interventional Radiology, Radiology and Imaging Sciences, National Institutes of Health Clinical Center (B.J.W.), National Cancer Institute, National Institutes of Health, Bethesda, and the Division of Urology, Department of Surgery, University of Maryland School of Medicine, Baltimore (M.S.) - all in Maryland
| | - Patrick T Gomella
- From the Urologic Oncology Branch (M.A., A.R.W., A.H.L., S.M., P.T.G., J.B., S.G., W.M.L., P.A.P.), the Biometric Research Program, Division of Cancer Treatment and Diagnosis (S.E.R., J.H.S.), the Molecular Imaging Program (S.M., P.L.C., B.T.) and the Translational Surgical Pathology Section (M.M.), Center for Cancer Research, the Division of Cancer Prevention (P.P., H.P.), the Center for Interventional Oncology (B.J.W.), and Interventional Radiology, Radiology and Imaging Sciences, National Institutes of Health Clinical Center (B.J.W.), National Cancer Institute, National Institutes of Health, Bethesda, and the Division of Urology, Department of Surgery, University of Maryland School of Medicine, Baltimore (M.S.) - all in Maryland
| | - Jonathan Bloom
- From the Urologic Oncology Branch (M.A., A.R.W., A.H.L., S.M., P.T.G., J.B., S.G., W.M.L., P.A.P.), the Biometric Research Program, Division of Cancer Treatment and Diagnosis (S.E.R., J.H.S.), the Molecular Imaging Program (S.M., P.L.C., B.T.) and the Translational Surgical Pathology Section (M.M.), Center for Cancer Research, the Division of Cancer Prevention (P.P., H.P.), the Center for Interventional Oncology (B.J.W.), and Interventional Radiology, Radiology and Imaging Sciences, National Institutes of Health Clinical Center (B.J.W.), National Cancer Institute, National Institutes of Health, Bethesda, and the Division of Urology, Department of Surgery, University of Maryland School of Medicine, Baltimore (M.S.) - all in Maryland
| | - Sandeep Gurram
- From the Urologic Oncology Branch (M.A., A.R.W., A.H.L., S.M., P.T.G., J.B., S.G., W.M.L., P.A.P.), the Biometric Research Program, Division of Cancer Treatment and Diagnosis (S.E.R., J.H.S.), the Molecular Imaging Program (S.M., P.L.C., B.T.) and the Translational Surgical Pathology Section (M.M.), Center for Cancer Research, the Division of Cancer Prevention (P.P., H.P.), the Center for Interventional Oncology (B.J.W.), and Interventional Radiology, Radiology and Imaging Sciences, National Institutes of Health Clinical Center (B.J.W.), National Cancer Institute, National Institutes of Health, Bethesda, and the Division of Urology, Department of Surgery, University of Maryland School of Medicine, Baltimore (M.S.) - all in Maryland
| | - Minhaj Siddiqui
- From the Urologic Oncology Branch (M.A., A.R.W., A.H.L., S.M., P.T.G., J.B., S.G., W.M.L., P.A.P.), the Biometric Research Program, Division of Cancer Treatment and Diagnosis (S.E.R., J.H.S.), the Molecular Imaging Program (S.M., P.L.C., B.T.) and the Translational Surgical Pathology Section (M.M.), Center for Cancer Research, the Division of Cancer Prevention (P.P., H.P.), the Center for Interventional Oncology (B.J.W.), and Interventional Radiology, Radiology and Imaging Sciences, National Institutes of Health Clinical Center (B.J.W.), National Cancer Institute, National Institutes of Health, Bethesda, and the Division of Urology, Department of Surgery, University of Maryland School of Medicine, Baltimore (M.S.) - all in Maryland
| | - Paul Pinsky
- From the Urologic Oncology Branch (M.A., A.R.W., A.H.L., S.M., P.T.G., J.B., S.G., W.M.L., P.A.P.), the Biometric Research Program, Division of Cancer Treatment and Diagnosis (S.E.R., J.H.S.), the Molecular Imaging Program (S.M., P.L.C., B.T.) and the Translational Surgical Pathology Section (M.M.), Center for Cancer Research, the Division of Cancer Prevention (P.P., H.P.), the Center for Interventional Oncology (B.J.W.), and Interventional Radiology, Radiology and Imaging Sciences, National Institutes of Health Clinical Center (B.J.W.), National Cancer Institute, National Institutes of Health, Bethesda, and the Division of Urology, Department of Surgery, University of Maryland School of Medicine, Baltimore (M.S.) - all in Maryland
| | - Howard Parnes
- From the Urologic Oncology Branch (M.A., A.R.W., A.H.L., S.M., P.T.G., J.B., S.G., W.M.L., P.A.P.), the Biometric Research Program, Division of Cancer Treatment and Diagnosis (S.E.R., J.H.S.), the Molecular Imaging Program (S.M., P.L.C., B.T.) and the Translational Surgical Pathology Section (M.M.), Center for Cancer Research, the Division of Cancer Prevention (P.P., H.P.), the Center for Interventional Oncology (B.J.W.), and Interventional Radiology, Radiology and Imaging Sciences, National Institutes of Health Clinical Center (B.J.W.), National Cancer Institute, National Institutes of Health, Bethesda, and the Division of Urology, Department of Surgery, University of Maryland School of Medicine, Baltimore (M.S.) - all in Maryland
| | - W Marston Linehan
- From the Urologic Oncology Branch (M.A., A.R.W., A.H.L., S.M., P.T.G., J.B., S.G., W.M.L., P.A.P.), the Biometric Research Program, Division of Cancer Treatment and Diagnosis (S.E.R., J.H.S.), the Molecular Imaging Program (S.M., P.L.C., B.T.) and the Translational Surgical Pathology Section (M.M.), Center for Cancer Research, the Division of Cancer Prevention (P.P., H.P.), the Center for Interventional Oncology (B.J.W.), and Interventional Radiology, Radiology and Imaging Sciences, National Institutes of Health Clinical Center (B.J.W.), National Cancer Institute, National Institutes of Health, Bethesda, and the Division of Urology, Department of Surgery, University of Maryland School of Medicine, Baltimore (M.S.) - all in Maryland
| | - Maria Merino
- From the Urologic Oncology Branch (M.A., A.R.W., A.H.L., S.M., P.T.G., J.B., S.G., W.M.L., P.A.P.), the Biometric Research Program, Division of Cancer Treatment and Diagnosis (S.E.R., J.H.S.), the Molecular Imaging Program (S.M., P.L.C., B.T.) and the Translational Surgical Pathology Section (M.M.), Center for Cancer Research, the Division of Cancer Prevention (P.P., H.P.), the Center for Interventional Oncology (B.J.W.), and Interventional Radiology, Radiology and Imaging Sciences, National Institutes of Health Clinical Center (B.J.W.), National Cancer Institute, National Institutes of Health, Bethesda, and the Division of Urology, Department of Surgery, University of Maryland School of Medicine, Baltimore (M.S.) - all in Maryland
| | - Peter L Choyke
- From the Urologic Oncology Branch (M.A., A.R.W., A.H.L., S.M., P.T.G., J.B., S.G., W.M.L., P.A.P.), the Biometric Research Program, Division of Cancer Treatment and Diagnosis (S.E.R., J.H.S.), the Molecular Imaging Program (S.M., P.L.C., B.T.) and the Translational Surgical Pathology Section (M.M.), Center for Cancer Research, the Division of Cancer Prevention (P.P., H.P.), the Center for Interventional Oncology (B.J.W.), and Interventional Radiology, Radiology and Imaging Sciences, National Institutes of Health Clinical Center (B.J.W.), National Cancer Institute, National Institutes of Health, Bethesda, and the Division of Urology, Department of Surgery, University of Maryland School of Medicine, Baltimore (M.S.) - all in Maryland
| | - Joanna H Shih
- From the Urologic Oncology Branch (M.A., A.R.W., A.H.L., S.M., P.T.G., J.B., S.G., W.M.L., P.A.P.), the Biometric Research Program, Division of Cancer Treatment and Diagnosis (S.E.R., J.H.S.), the Molecular Imaging Program (S.M., P.L.C., B.T.) and the Translational Surgical Pathology Section (M.M.), Center for Cancer Research, the Division of Cancer Prevention (P.P., H.P.), the Center for Interventional Oncology (B.J.W.), and Interventional Radiology, Radiology and Imaging Sciences, National Institutes of Health Clinical Center (B.J.W.), National Cancer Institute, National Institutes of Health, Bethesda, and the Division of Urology, Department of Surgery, University of Maryland School of Medicine, Baltimore (M.S.) - all in Maryland
| | - Baris Turkbey
- From the Urologic Oncology Branch (M.A., A.R.W., A.H.L., S.M., P.T.G., J.B., S.G., W.M.L., P.A.P.), the Biometric Research Program, Division of Cancer Treatment and Diagnosis (S.E.R., J.H.S.), the Molecular Imaging Program (S.M., P.L.C., B.T.) and the Translational Surgical Pathology Section (M.M.), Center for Cancer Research, the Division of Cancer Prevention (P.P., H.P.), the Center for Interventional Oncology (B.J.W.), and Interventional Radiology, Radiology and Imaging Sciences, National Institutes of Health Clinical Center (B.J.W.), National Cancer Institute, National Institutes of Health, Bethesda, and the Division of Urology, Department of Surgery, University of Maryland School of Medicine, Baltimore (M.S.) - all in Maryland
| | - Bradford J Wood
- From the Urologic Oncology Branch (M.A., A.R.W., A.H.L., S.M., P.T.G., J.B., S.G., W.M.L., P.A.P.), the Biometric Research Program, Division of Cancer Treatment and Diagnosis (S.E.R., J.H.S.), the Molecular Imaging Program (S.M., P.L.C., B.T.) and the Translational Surgical Pathology Section (M.M.), Center for Cancer Research, the Division of Cancer Prevention (P.P., H.P.), the Center for Interventional Oncology (B.J.W.), and Interventional Radiology, Radiology and Imaging Sciences, National Institutes of Health Clinical Center (B.J.W.), National Cancer Institute, National Institutes of Health, Bethesda, and the Division of Urology, Department of Surgery, University of Maryland School of Medicine, Baltimore (M.S.) - all in Maryland
| | - Peter A Pinto
- From the Urologic Oncology Branch (M.A., A.R.W., A.H.L., S.M., P.T.G., J.B., S.G., W.M.L., P.A.P.), the Biometric Research Program, Division of Cancer Treatment and Diagnosis (S.E.R., J.H.S.), the Molecular Imaging Program (S.M., P.L.C., B.T.) and the Translational Surgical Pathology Section (M.M.), Center for Cancer Research, the Division of Cancer Prevention (P.P., H.P.), the Center for Interventional Oncology (B.J.W.), and Interventional Radiology, Radiology and Imaging Sciences, National Institutes of Health Clinical Center (B.J.W.), National Cancer Institute, National Institutes of Health, Bethesda, and the Division of Urology, Department of Surgery, University of Maryland School of Medicine, Baltimore (M.S.) - all in Maryland
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Detection of individual prostate cancer via multiparametric magnetic resonance imaging in own material - initial experience. J Contemp Brachytherapy 2020; 11:541-546. [PMID: 31969912 PMCID: PMC6964342 DOI: 10.5114/jcb.2019.90085] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Accepted: 11/01/2019] [Indexed: 11/21/2022] Open
Abstract
Purpose Multiparametric magnetic resonance imaging (mpMRI) is an evolving non-invasive imaging modality that increases the accurate localization of prostate cancer (PCa) at the time of MRI targeted biopsy, enhancing clinical risk assessment, and improving the ability to appropriately counsel patients regarding therapy. Material and methods A total of forty patients with prostate-specific antigen (PSA), mpMRI and Gleason score (based on MRI template-guided cognitive biopsy) results were analyzed in this study, with eight patients (20%) diagnosed with PCa. The mpMRI was performed to facilitate the decision to perform prostate biopsy. Spearman’s coefficient analysis was used to evaluate the relationships between characteristics. Diagnostic performance was assessed measuring the area under the curve (AUC) of the receiver operating characteristic (ROC) analysis. Diagnostic accuracy, sensitivity, and specificity were determined using the best cut-off on each ROC. Results Out of all the study group, 55% of patients were subjected to primary biopsy and 45% were directed to repeated TRUS-Bx with the suspicion of prostate cancer. Forty suspected lesions on MRI images were identified with 5% of PI-RADS 1, 17.5% of PI-RADS 2, 32.5% of PI-RADS 3, 27.5% of PI-RADS 4 (27.5%) and 17.5% of PI-RADS 5. The highest correlation was observed for mpMRI results and Gleason score with Spearman’s coefficient equal to 0.41 (95% CI: 0.104-0.646). ROC analysis revealed that mpMRI discriminates between directing the patients for prostate biopsy or active surveillance with AUC = 0.771 (0.117, 95% CI: 0.542-1.001). Conclusions Introducing pre-biopsy mpMRI into our contemporary PCa diagnosis pathway increased the diagnostic yield of transrectal biopsy by increasing the prostate cancer detection. This enabled the introduction of clinically significant prostate cancer (csPCa) treatment. mpMRI application also allowed biopsy to be avoided among patients with no csPCa.
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Murugan P, Shukla D, Morocho J, Smith D, Sciacca D, Pickard M, Wahlsten M, Gunderson A, Konety B, Khalifa MA, Warlick C. Prostate Biopsy Processing. Am J Clin Pathol 2019; 152:757-765. [PMID: 31433833 DOI: 10.1093/ajcp/aqz101] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
OBJECTIVES Current protocols for processing multiple prostate biopsy cores per case are uneconomical and cumbersome. Tissue fragmentation and loss compromise cancer diagnosis. We sought to study an alternate method to improve processing and diagnosis of prostate cancer. METHODS Two sets of sextant biopsy specimens from near-identical locations were obtained ex vivo from 48 prostate specimens. One set was processed in the standard fashion while the other was processed using the BxChip, a proprietary biomimetic matrix that accommodates six cores on a single chip. Parameters including grossing, embedding, sectioning and reading time, length of tissue, and degree of fragmentation were compared. RESULTS A significant reduction (more than threefold) in preanalytical and analytical time was observed using the multiplex method. Nonlinear fragmentation was absent, in contrast to standard processing. CONCLUSIONS The BxChip reduced tissue fragmentation and increased efficiency of prostate biopsy diagnosis. It also resulted in overall cost savings and significantly increased tissue length.
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Affiliation(s)
- Paari Murugan
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis
| | - Dip Shukla
- University of Minnesota Medical School, Minneapolis
| | | | - Deanne Smith
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis
| | - Drew Sciacca
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis
| | - Meghan Pickard
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis
| | | | | | | | - Mahmoud A Khalifa
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis
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Abdelaziz AY, Shaker H, Seifelnasr M, Elfol H, Nazim M, Mahmoued M. Early Oncological and Functional Outcomes of Prostate Capsule Sparing Cystectomy Compared with Standard Radical Cystectomy. Curr Urol 2019; 13:37-45. [PMID: 31579223 DOI: 10.1159/000499296] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2018] [Accepted: 11/06/2018] [Indexed: 11/19/2022] Open
Abstract
Introduction and Objectives A comparative study of standard radical cystectomy and prostate capsule sparing radical cystectomy regarding functional and oncological outcomes. Materials and Methods A randomized study of 96 patients with transitional cell carcinoma of the bladder (December 2014 - June 2016) was done. We excluded cases with preoperative T4 staging, lymphadenopathy, prostatic specific antigen > 4 ng/dl, and cases with positive biopsies from the bladder neck, trigone, and/or prostatic urethra. Patients were divided into 2 groups, Group 1: standard radical cystectomy with orthotopic diversion (n = 51), Group 2: prostate capsule sparing cystectomy with orthotopic diversion (n = 45). Preoperative transrectal ultrasound and prostatic biopsies were done in Group 2 to exclude prostate cancer. We compared the urinary continence and erectile function in both groups after 6 months, 1, and 2 years. Results There was no significant difference between the groups regarding preoperative demographic data, tumor stage, grade, site by cystoscopy, and biopsy. Intraoperative monitoring showed no significant differences regarding blood loss, surgical complications, or operative time (2.5 ± 0.48 vs. 2.4 ± 0.45 h). There was a significantly higher percentage of continence and potency in Group 2 than in Group 1. Sixteen cases (35.6%) in Group 2 but only 4 cases (7.8%) in Group 1 developed large post-voiding residual urine and needed intermittent self-catheterization cleaning (p = 0.001). The tumor recurrence rate was not significantly different between the groups after 2 years (p = 0.3). Conclusion Prostate capsule sparing cystectomy is a good option in selected cases with better continence and potency and without compromising oncological outcomes after 2 years.
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Affiliation(s)
| | - Hossam Shaker
- Urology Department, Faculty of Medicine, Fayoum University, Fayoum
| | | | - Hossam Elfol
- Oncology Department, Faculty of Medicine, Fayoum University, Fayoum
| | - Mohamed Nazim
- Urology Department, Faculty of Medicine, Alazhar University, Cairo, Egypt
| | - Mohamed Mahmoued
- Urology Department, Faculty of Medicine, Fayoum University, Fayoum
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Daun M, Fardin S, Ushinsky A, Batra S, Nguyentat M, Lee T, Uchio E, Lall C, Houshyar R. PI-RADS Version 2 Is an Excellent Screening Tool for Clinically Significant Prostate Cancer as Designated by the Validated International Society of Urological Pathology Criteria: A Retrospective Analysis. Curr Probl Diagn Radiol 2019; 49:407-411. [PMID: 31350101 DOI: 10.1067/j.cpradiol.2019.06.010] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2019] [Accepted: 06/25/2019] [Indexed: 01/21/2023]
Abstract
OBJECTIVES To assess the utility of multiparametric MRI in detecting clinically significant prostate cancer (csPCa) by comparing PI-RADSv2 scores with International Society of Urological Pathology (ISUP) pathologic grading criteria. METHODS Data from 137 patients were retrospectively analyzed. PI-RADSv2 scores were compared with pathologic grade using ISUP criteria. Pathologic grades were divided into clinically significant (groups 3-5) and clinically insignificant lesions (groups 1-2). Chi-squared analysis was performed for to assess correlation. RESULTS Sensitivity and specificity of PI-RADSv2 score 3-5 lesions for detecting csPCa was 100% and 18.5%, respectively. Negative predictive value (NPV) is 100% for these lesions. When considering only PI-RADSv2 score 4-5 lesions, sensitivity decreases to 90% and specificity increases to 67.5%, with a NPV of 98.5%. When only PI-RADSv2 score 5 lesions are considered, sensitivity decreases to 50% and specificity increases to 90%, with a NPV of 95%. CONCLUSIONS Multiparametric MRI has excellent sensitivity for detecting csPCa. Specificity is poor for PI-RADSv2 score 3 lesions but improves significantly for PI-RADSv2 score 4 and 5 lesions. Overall, mpMRI is an excellent screening tool for csPCa, as designated by the recently validated ISUP criteria. ADVANCES IN KNOWLEDGE Multiple limitations of the longstanding Gleason pathologic scoring system have led to the development of new ISUP pathologic criteria, which is more focused on the clinical significance of lesions. There are currently insufficient studies evaluating and validating the ISUP criteria with PIRADS v2 evaluation of the prostate.
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Affiliation(s)
| | - Sara Fardin
- University of California, Irvine, Irvine, CA
| | | | - Sahil Batra
- University of California, Irvine, Irvine, CA
| | | | - Thomas Lee
- University of California, Irvine, Irvine, CA
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Barbas Bernardos G, Herranz Amo F, de Miguel Campos E, Luis Cardo A, Herranz Arriero A, Cancho Gil M, Caño Velasco J, Jara Rascón J, Mayor de Castro J, Hernández Fernández C. Comparison of classical transrectal prostate biopsy versus cognitive registration in rebiopsy. Actas Urol Esp 2019; 43:228-233. [PMID: 30833102 DOI: 10.1016/j.acuro.2018.06.010] [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: 04/03/2018] [Revised: 06/23/2018] [Accepted: 06/25/2018] [Indexed: 10/27/2022]
Abstract
INTRODUCTION The aim of this study is to compare performance of two biopsy approaches in patients with at least one previous negative prostate biopsy (PB): classical transrectal biopsy (ClTB) versus cognitive registration biopsy (COG-TB). MATERIAL AND METHODS A retrospective study of 205 patients with at least one negative PB. 144 (70.2%) patients underwent a prior mpMRI and 61 (29.8%) patients did not. Nodule classification was carried out according PI-RADS version 2. Peripheral zone (PZ) grouped pZa, pZpl and pZpm areas, transition zone (TZ) Tza, Tzp and Cz areas, and anterior zone (AZ) AS areas. COG-TB was conducted in patients with previous mpMRI (144); while in the remaining 61 (29.8%) patients a ClTB of PZ and TZ was performed. Statistical analysis was performed using Chi square and T-student tests for qualitative and quantitative variables, respectively. Multivariate analysis was carried out in order to identify predictive variables of prostate cancer. RESULTS Median patient age was 68 (IQR 62-72) years, median PSA was 8.3 (IQR 6.2-11.7) ng/ml and median previous biopsies was 1 (IQR 1-2). Digital rectal examinations (DRE) findings were normal in 169 (82.4%) patients and suspicious in 36 (17.6%) patients (cT2a-b in 34 patients and cT2c in 2). Median prostate volume was 48 (IQR 38-65) cc. Statistically significant differences in PSAD between both groups were found (P=.03). Transrectal ultrasound (TRUS) showed hypoechoic nodules in 8 (13.1%) ClTB patients and in 62 (43.1%) COG-TB patients (P=.0001). The median number of biopsy cylinders per set of prostate biopsies was 10 (IQR 10-10) in ClTB group and 11 (IQR 9-13) in COG-TB group (P=.75). Cancer was diagnosed in 74 (36.1%) patients: of them, 10 (16.4%) were ClTB patients and 64 (44.4%) COG-TB (P=.0001). Tumors classification was as follow: ISUP-1: 34 (45.9%), ISUP-2: 21 (28.4%), ISUP-3: 9 (12.2%), ISUP-4: 7 (9.5%) and ISUP-5: 3 (4.1%). No significant statistical differences were found (P=.89). The median number of biopsy cylinders impaired per set of prostate biopsies was 1 (IQR 1-5) in ClTB group and 2 (IQR 1-4) in COG-TB group (P=.93). Regarding independent predictive variables for prostate cancer the results were: age (OR=12.05; P=.049), suspicious DRE (OR=2.64; P=.04), hypoechoic nodule (OR=2.20; P=.03) and mpMRI +COG-TB sequence (OR=3.49; P=.003). CONCLUSIONS In patients with at least one negative PB, mpMRI +COG-TB sequence improves 3.5 (OR=3.49) times the diagnosis prostate vs. ClTB.
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Zabihollahy F, Schieda N, Krishna Jeyaraj S, Ukwatta E. Automated segmentation of prostate zonal anatomy on T2-weighted (T2W) and apparent diffusion coefficient (ADC) map MR images using U-Nets. Med Phys 2019; 46:3078-3090. [PMID: 31002381 DOI: 10.1002/mp.13550] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2018] [Revised: 04/07/2019] [Accepted: 04/08/2019] [Indexed: 01/21/2023] Open
Abstract
PURPOSE Accurate regional segmentation of the prostate boundaries on magnetic resonance (MR) images is a fundamental requirement before automated prostate cancer diagnosis can be achieved. In this paper, we describe a novel methodology to segment prostate whole gland (WG), central gland (CG), and peripheral zone (PZ), where PZ + CG = WG, from T2W and apparent diffusion coefficient (ADC) map prostate MR images. METHODS We designed two similar models each made up of two U-Nets to delineate the WG, CG, and PZ from T2W and ADC map MR images, separately. The U-Net, which is a modified version of a fully convolutional neural network, includes contracting and expanding paths with convolutional, pooling, and upsampling layers. Pooling and upsampling layers help to capture and localize image features with a high spatial consistency. We used a dataset consisting of 225 patients (combining 153 and 72 patients with and without clinically significant prostate cancer) imaged with multiparametric MRI at 3 Tesla. RESULTS AND CONCLUSION Our proposed model for prostate zonal segmentation from T2W was trained and tested using 1154 and 1587 slices of 100 and 125 patients, respectively. Median of Dice similarity coefficient (DSC) on test dataset for prostate WG, CG, and PZ were 95.33 ± 7.77%, 93.75 ± 8.91%, and 86.78 ± 3.72%, respectively. Designed model for regional prostate delineation from ADC map images was trained and validated using 812 and 917 slices from 100 and 125 patients. This model yielded a median DSC of 92.09 ± 8.89%, 89.89 ± 10.69%, and 86.1 ± 9.56% for prostate WG, CG, and PZ on test samples, respectively. Further investigation indicated that the proposed algorithm reported high DSC for prostate WG segmentation from both T2W and ADC map MR images irrespective of WG size. In addition, segmentation accuracy in terms of DSC does not significantly vary among patients with or without significant tumors. SIGNIFICANCE We describe a method for automated prostate zonal segmentation using T2W and ADC map MR images independent of prostate size and the presence or absence of tumor. Our results are important in terms of clinical perspective as fully automated methods for ADC map images, which are considered as one of the most important sequences for prostate cancer detection in the PZ and CG, have not been reported previously.
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Affiliation(s)
- Fatemeh Zabihollahy
- Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada
| | - Nicola Schieda
- Department of Radiology, University of Ottawa, Ottawa, ON, Canada
| | | | - Eranga Ukwatta
- School of Engineering, University of Guelph, Guelph, ON, Canada
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Randall EC, Zadra G, Chetta P, Lopez BGC, Syamala S, Basu SS, Agar JN, Loda M, Tempany CM, Fennessy FM, Agar NYR. Molecular Characterization of Prostate Cancer with Associated Gleason Score Using Mass Spectrometry Imaging. Mol Cancer Res 2019; 17:1155-1165. [PMID: 30745465 PMCID: PMC6497547 DOI: 10.1158/1541-7786.mcr-18-1057] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Revised: 12/19/2018] [Accepted: 02/06/2019] [Indexed: 12/31/2022]
Abstract
Diagnosis of prostate cancer is based on histologic evaluation of tumor architecture using a system known as the "Gleason score." This diagnostic paradigm, while the standard of care, is time-consuming, shows intraobserver variability, and provides no information about the altered metabolic pathways, which result in altered tissue architecture. Characterization of the molecular composition of prostate cancer and how it changes with respect to the Gleason score (GS) could enable a more objective and faster diagnosis. It may also aid in our understanding of disease onset and progression. In this work, we present mass spectrometry imaging for identification and mapping of lipids and metabolites in prostate tissue from patients with known prostate cancer with GS from 6 to 9. A gradient of changes in the intensity of various lipids was observed, which correlated with increasing GS. Interestingly, these changes were identified in both regions of high tumor cell density, and in regions of tissue that appeared histologically benign, possibly suggestive of precancerous metabolomic changes. A total of 31 lipids, including several phosphatidylcholines, phosphatidic acids, phosphatidylserines, phosphatidylinositols, and cardiolipins were detected with higher intensity in GS (4+3) compared with GS (3+4), suggesting they may be markers of prostate cancer aggression. Results obtained through mass spectrometry imaging studies were subsequently correlated with a fast, ambient mass spectrometry method for potential use as a clinical tool to support image-guided prostate biopsy. IMPLICATIONS: In this study, we suggest that metabolomic differences between prostate cancers with different Gleason scores can be detected by mass spectrometry imaging.
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Affiliation(s)
- Elizabeth C Randall
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Giorgia Zadra
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Paolo Chetta
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
- University of Milan, Milan, Italy
| | - Begona G C Lopez
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Sudeepa Syamala
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Sankha S Basu
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Jeffrey N Agar
- Chemistry and Chemical Biology, Northeastern University, Boston, Massachusetts
| | - Massimo Loda
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Clare M Tempany
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Fiona M Fennessy
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Nathalie Y R Agar
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
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van der Aa AAMA, Mannaerts CK, Gayet MCW, van der Linden JC, Schrier BP, Sedelaar JPM, Mischi M, Beerlage HP, Wijkstra H. Three-dimensional greyscale transrectal ultrasound-guidance and biopsy core preembedding for detection of prostate cancer: Dutch clinical cohort study. BMC Urol 2019; 19:23. [PMID: 30991993 PMCID: PMC6469087 DOI: 10.1186/s12894-019-0455-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Accepted: 03/31/2019] [Indexed: 12/30/2022] Open
Abstract
Background To overcome the limitations regarding two dimensional (2D) greyscale (GS) transrectal ultrasound (TRUS)-guided biopsy in prostate cancer (PCa) detection and tissue packaging in biopsy processing, there is an ongoing focus on new imaging and pathology techniques. A three-dimensional (3D) model of the prostate with biopsy needle guidance can be generate by the Navigo™ workstation (UC-care, Israel). The SmartBX™ system (UC-care, Israel) provides a prostate biopsy core preembedding method. The aim of this study was to compare cancer detection rates between the 3D TRUS-guidance and preembedding method with conventional 2D GS TRUS-guidance among patients undergoing prostate biopsies. Methods We retrospectively analyzed the records of all patients who underwent prostate biopsies for PCa detection at our institution from 2007 to 2016. The cohort was divided into a 2D GS TRUS-guidance cohort (from 2007 to 2013, n = 1149) and a 3D GS TRUS-guidance with preembedding cohort (from 2013 to 2016, n = 469). Effect of 3D GS TRUS-guidance with preembedding on detection rate of PCa and clinically significant PCa (Gleason score ≥ 7 or > 2 biopsy cores with a Gleason score 6) was compared to 2D GS TRUS-guidance using regression models. Results Detection rate of PCa and clinically significant PCa was 39.0 and 24.9% in the 3D GS TRUS cohort compared to 33.5 and 19.0% in the 2D GS TRUS cohort, respectively. On multivariate regression analysis the use of 3D GS TRUS-guidance with preembedding was associated with a significant increase in detection rate of PCa (aOR = 1.33; 95% CI: 1.03–1.72) and clinically significant PCa (aOR = 1.47; 95% CI: 1.09–1.98). Conclusion Our results suggest that 3D GS TRUS-guidance with biopsy core preembedding improves PCa and clinically significant PCa detection compared to 2D GS TRUS-guidance. Additional studies are needed to justify the application of these systems in clinical practice. Electronic supplementary material The online version of this article (10.1186/s12894-019-0455-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Anouk Anna Maria Arnoldus van der Aa
- Department of Urology, Jeroen Bosch Hospital, Post office box 90153, 's-Hertogenbosch, 5200 ME, The Netherlands. .,Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
| | | | - Maudy C W Gayet
- Department of Urology, Jeroen Bosch Hospital, Post office box 90153, 's-Hertogenbosch, 5200 ME, The Netherlands.,Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
| | | | - Barthold Philip Schrier
- Department of Urology, Jeroen Bosch Hospital, Post office box 90153, 's-Hertogenbosch, 5200 ME, The Netherlands
| | - J P Michiel Sedelaar
- Department of Urology, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Massimo Mischi
- Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Harrie P Beerlage
- Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.,Department of Urology, AMC University Hospital, Amsterdam, The Netherlands
| | - Hessel Wijkstra
- Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.,Department of Urology, AMC University Hospital, Amsterdam, The Netherlands
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Decision models for distinguishing between clinically insignificant and significant tumors in prostate cancer biopsies: an application of Bayes' Theorem to reduce costs and improve outcomes. Health Care Manag Sci 2019; 23:102-116. [PMID: 30880374 DOI: 10.1007/s10729-019-09480-6] [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: 08/29/2018] [Accepted: 02/19/2019] [Indexed: 10/27/2022]
Abstract
Prostate cancer is the second leading cause of death from cancer, behind lung cancer, for men in the U. S, with nearly 30,000 deaths per year. A key problem is the difficulty in distinguishing, after biopsy, between significant cancers that should be treated immediately and clinically insignificant tumors that should be monitored by active surveillance. Prostate cancer has been over-treated; a recent European randomized screening trial shows overtreatment rates of 40%. Overtreatment of insignificant tumors reduces quality of life, while delayed treatment of significant cancers increases the incidence of metastatic disease and death. We develop a decision analysis approach based on simulation and probability modeling. For a given prostate volume and number of biopsy needles, our rule is to treat if total length of cancer in needle cores exceeds c, the cutoff value, with active surveillance otherwise, provided pathology is favorable. We determine the optimal cutoff value, c*. There are two misclassification costs: treating a minimal tumor and not treating a small or medium tumor (large tumors were never misclassified in our simulations). Bayes' Theorem is used to predict the probabilities of minimal, small, medium, and large cancers given the total length of cancer found in biopsy cores. A 20 needle biopsy in conjunction with our new decision analysis approach significantly reduces the expected loss associated with a patient in our target population about to undergo a biopsy. Longer needles reduce expected loss. Increasing the number of biopsy cores from the current norm of 10-12 to about 20, in conjunction with our new decision model, should substantially improve the ability to distinguish minimal from significant prostate cancer by minimizing the expected loss from over-treating minimal tumors and delaying treatment of significant cancers.
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