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Guerra A, Alves FC, Maes K, Maio R, Villeirs G, Mouriño H. Risk Biomarkers for Biochemical Recurrence after Radical Prostatectomy for Prostate Cancer Using Clinical and MRI-Derived Semantic Features. Cancers (Basel) 2023; 15:5296. [PMID: 37958468 PMCID: PMC10650512 DOI: 10.3390/cancers15215296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 10/27/2023] [Accepted: 11/01/2023] [Indexed: 11/15/2023] Open
Abstract
OBJECTIVES This study aimed to assess the impact of the covariates derived from a predictive model for detecting extracapsular extension on pathology (pECE+) on biochemical recurrence-free survival (BCRFS) within 4 years after robotic-assisted radical prostatectomy (RARP). METHODS Retrospective data analysis was conducted from a single center between 2015 and 2022. Variables under consideration included prostate-specific antigen (PSA) levels, patient age, prostate volume, MRI semantic features, and Grade Group (GG). We also assessed the influence of pECE+ and positive surgical margins on BCRFS. To attain these goals, we used the Kaplan-Meier survival function and the multivariable Cox regression model. Additionally, we analyzed the MRI features on BCR (biochemical recurrence) in low/intermediate risk patients. RESULTS A total of 177 participants with a follow-up exceeding 6 months post-RARP were included. The 1-year, 2-year, and 4-year risks of BCR after radical prostatectomy were 5%, 13%, and 21%, respectively. The non-parametric approach for the survival analysis showed that adverse MRI features such as macroscopic ECE on MRI (mECE+), capsular disruption, high tumor capsular contact length (TCCL), GG ≥ 4, positive surgical margins (PSM), and pECE+ on pathology were risk factors for BCR. In low/intermediate-risk patients (pECE- and GG < 4), the presence of adverse MRI features has been shown to increase the risk of BCR. CONCLUSIONS The study highlights the importance of incorporating predictive MRI features for detecting extracapsular extension pre-surgery in influencing early outcomes and clinical decision making; mECE+, TCCL, capsular disruption, and GG ≥ 4 based on pre-surgical biopsy were independent prognostic factors for early BCR. The presence of adverse features on MRI can assist in identifying low/intermediate-risk patients who will benefit from closer monitoring.
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Affiliation(s)
- Adalgisa Guerra
- Department of Radiology, Hospital da Luz Lisbon, 1500-650 Lisboa, Portugal;
| | - Filipe Caseiro Alves
- Faculty of Medicine, Clinical Research CIBIT/ICNAS, University of Coimbra, 3004-504 Coimbra, Portugal;
| | - Kris Maes
- Department of Urology, Hospital da Luz Lisbon, 1500-650 Lisboa, Portugal;
| | - Rui Maio
- Department of Radiology, Hospital da Luz Lisbon, 1500-650 Lisboa, Portugal;
- Nova Medical School, Nova University of Lisbon, 1169-056 Lisbon, Portugal
| | - Geert Villeirs
- Department of Medical Imaging, Ghent University Hospital, 9000 Ghent, Belgium;
| | - Helena Mouriño
- CEAUL, Centro de Estatística e Aplicações, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal;
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Guerra A, Flor-de-Lima B, Freire G, Lopes A, Cassis J. Radiologic-pathologic correlation of prostatic cancer extracapsular extension (ECE). Insights Imaging 2023; 14:88. [PMID: 37191739 DOI: 10.1186/s13244-023-01428-3] [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: 01/04/2023] [Accepted: 04/14/2023] [Indexed: 05/17/2023] Open
Abstract
Recent advancements on nerve-sparing robotic prostatectomy allow fewer side effects such as urinary incontinence and sexual dysfunction. To perform such techniques, it is essential for the surgeon to know if the neurovascular bundle is involved. Despite being the gold-standard imaging method for Prostate Cancer (PCa) staging, Magnetic Resonance Imaging (MRI) lacks high specificity for detecting extracapsular extension (ECE). Therefore, it is essential to understand the pathologic aspects of ECE to better evaluate the MRI findings of PCa. We reviewed the normal MRI appearance of the prostate gland and the periprostatic space and correlated them to prostatectomy specimens. The different findings of ECE and neurovascular bundle invasion are exemplified with images of both MRI and histologic specimens.
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Affiliation(s)
- Adalgisa Guerra
- Department of Radiology, Hospital da Luz Lisboa, Avenida Lusíada 100, 1500-650, Lisbon, Portugal.
- Faculdade de Ciências Médicas, NOVA Medical School, Lisbon, Portugal.
| | | | | | - Ana Lopes
- Pathology Department, Hospital da Luz Lisboa, Lisbon, Portugal
| | - João Cassis
- Pathology Department, Hospital da Luz Lisboa, Lisbon, Portugal
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3
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Jeyapala R, Kamdar S, Olkhov-Mitsel E, Zlotta A, Fleshner N, Visakorpi T, van der Kwast T, Bapat B. Combining CAPRA-S with tumor IDC/C features improves the prognostication of biochemical recurrence in prostate cancer patients. Clin Genitourin Cancer 2022; 20:e217-e226. [DOI: 10.1016/j.clgc.2022.01.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 01/03/2022] [Accepted: 01/04/2022] [Indexed: 12/18/2022]
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Hajjo R, Sabbah DA, Bardaweel SK, Tropsha A. Identification of Tumor-Specific MRI Biomarkers Using Machine Learning (ML). Diagnostics (Basel) 2021; 11:742. [PMID: 33919342 PMCID: PMC8143297 DOI: 10.3390/diagnostics11050742] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 04/09/2021] [Accepted: 04/12/2021] [Indexed: 02/06/2023] Open
Abstract
The identification of reliable and non-invasive oncology biomarkers remains a main priority in healthcare. There are only a few biomarkers that have been approved as diagnostic for cancer. The most frequently used cancer biomarkers are derived from either biological materials or imaging data. Most cancer biomarkers suffer from a lack of high specificity. However, the latest advancements in machine learning (ML) and artificial intelligence (AI) have enabled the identification of highly predictive, disease-specific biomarkers. Such biomarkers can be used to diagnose cancer patients, to predict cancer prognosis, or even to predict treatment efficacy. Herein, we provide a summary of the current status of developing and applying Magnetic resonance imaging (MRI) biomarkers in cancer care. We focus on all aspects of MRI biomarkers, starting from MRI data collection, preprocessing and machine learning methods, and ending with summarizing the types of existing biomarkers and their clinical applications in different cancer types.
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Affiliation(s)
- Rima Hajjo
- Department of Pharmacy, Faculty of Pharmacy, Al-Zaytoonah University of Jordan, P.O. Box 130, Amman 11733, Jordan;
- Laboratory for Molecular Modeling, Division of Chemical Biology and Medicinal Chemistry, Eshelman School of Pharmacy, The University of North Carlina at Chapel Hill, Chapel Hill, NC 27599, USA;
- National Center for Epidemics and Communicable Disease Control, Amman 11118, Jordan
| | - Dima A. Sabbah
- Department of Pharmacy, Faculty of Pharmacy, Al-Zaytoonah University of Jordan, P.O. Box 130, Amman 11733, Jordan;
| | - Sanaa K. Bardaweel
- Department of Pharmaceutical Sciences, School of Pharmacy, University of Jordan, Amman 11942, Jordan;
| | - Alexander Tropsha
- Laboratory for Molecular Modeling, Division of Chemical Biology and Medicinal Chemistry, Eshelman School of Pharmacy, The University of North Carlina at Chapel Hill, Chapel Hill, NC 27599, USA;
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5
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Wu RC, Lebastchi AH, Hadaschik BA, Emberton M, Moore C, Laguna P, Fütterer JJ, George AK. Role of MRI for the detection of prostate cancer. World J Urol 2021; 39:637-649. [PMID: 33394091 DOI: 10.1007/s00345-020-03530-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Accepted: 11/13/2020] [Indexed: 01/24/2023] Open
Abstract
The use of multiparametric MRI has been hastened under expanding, novel indications for its use in the diagnostic and management pathway of men with prostate cancer. This has helped drive a large body of the literature describing its evolving role over the last decade. Despite this, prostate cancer remains the only solid organ malignancy routinely diagnosed with random sampling. Herein, we summarize the components of multiparametric MRI and interpretation, and present a critical review of the current literature supporting is use in prostate cancer detection, risk stratification, and management.
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Affiliation(s)
- Richard C Wu
- Department of Urology, E-Da Hospital, Kaohsiung, Taiwan
- College of Medicine, I-Shou University, Kaohsiung, Taiwan
| | - Amir H Lebastchi
- Department of Urology, University of Southern California, Los Angeles, CA, USA
| | - Boris A Hadaschik
- University Hospital Heidelberg and German Cancer Research Center, Heidelberg, Germany
| | - Mark Emberton
- Division of Surgery and Interventional Science, University College London, London, UK
| | - Caroline Moore
- Division of Surgery and Interventional Science, University College London, London, UK
| | - Pilar Laguna
- Department of Urology, Medipol University Research Hospital, Istanbul, Turkey
| | - Jurgen J Fütterer
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Arvin K George
- Department of Urology, University of Michigan, Ann Arbor, MI, USA.
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Cheung DC, Fleshner N, Sengupta S, Woon D. A narrative review of pelvic lymph node dissection in prostate cancer. Transl Androl Urol 2020; 9:3049-3055. [PMID: 33457278 PMCID: PMC7807357 DOI: 10.21037/tau-20-729] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
Pelvic lymph node dissection (PLND) is an important component in the staging and prognostication of prostate cancer. We performed a narrative review to assess the literature surrounding PLND: (I) the current guideline recommendations and contemporary utilization, (II) the calculation of patient-specific risk to perform PLND using available nomograms, (III) to review the extent of dissection, and its associated outcomes and complications. Due to the improved lymph node yield, better staging, and theoretical improvement in the control of micro-metastatic disease, guidelines have supported the use of (extended-) PLND in patients deemed to be at intermediate or high risk of lymph node involvement (often at a threshold of 5% on modern risk nomograms). However, in practice, real-world utilization of PLND varies considerably due to multiple reasons. Conflicting evidence persists with no clear oncological benefit to PLND, and a small, but important, risk of morbidity. Complications are rare, but include lymphoceles; thromboembolic events; and more rarely, obturator nerve, vascular, and ureteric injury. Furthermore, changing disease incidence and stage migration in the context of earlier detection overall have led to a decreased risk of nodal disease. The trade-offs between the benefits, harms, and risk tolerance/threshold must be carefully considered between each patient and their clinician.
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Affiliation(s)
| | - Neil Fleshner
- Division of Urology, University of Toronto, Toronto, Canada
| | - Shomik Sengupta
- Eastern Health Clinical School, Monash University, Melbourne, Australia.,Urology Unit, Eastern Health, Victoria, Australia
| | - Dixon Woon
- Urology Unit, Eastern Health, Victoria, Australia
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Houdt PJ, Ghobadi G, Schoots IG, Heijmink SW, Jong J, Poel HG, Pos FJ, Rylander S, Bentzen L, Haustermans K, Heide UA. Histopathological Features of MRI‐Invisible Regions of Prostate Cancer Lesions. J Magn Reson Imaging 2019; 51:1235-1246. [DOI: 10.1002/jmri.26933] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Revised: 09/04/2019] [Accepted: 09/05/2019] [Indexed: 12/15/2022] Open
Affiliation(s)
- Petra J. Houdt
- Department of Radiation Oncologythe Netherlands Cancer Institute Amsterdam The Netherlands
| | - Ghazaleh Ghobadi
- Department of Radiation Oncologythe Netherlands Cancer Institute Amsterdam The Netherlands
| | - Ivo G. Schoots
- Department of Radiologythe Netherlands Cancer Institute Amsterdam The Netherlands
- Department of Radiology and Nuclear MedicineErasmus University Medical Center Rotterdam The Netherlands
| | | | - Jeroen Jong
- Department of Pathologythe Netherlands Cancer Institute Amsterdam The Netherlands
| | - Henk G. Poel
- Department of Urologythe Netherlands Cancer Institute Amsterdam The Netherlands
| | - Floris J. Pos
- Department of Radiation Oncologythe Netherlands Cancer Institute Amsterdam The Netherlands
| | - Susanne Rylander
- Department of Medical PhysicsAarhus University Hospital Aarhus Denmark
| | - Lise Bentzen
- Department of OncologyAarhus University Hospital Aarhus Denmark
| | - Karin Haustermans
- Department of Radiation OncologyUniversity Hospitals Leuven Leuven Belgium
| | - Uulke A. Heide
- Department of Radiation Oncologythe Netherlands Cancer Institute Amsterdam The Netherlands
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8
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Lopes Vendrami C, McCarthy RJ, Chatterjee A, Casalino D, Schaeffer EM, Catalona WJ, Miller FH. The Utility of Prostate Specific Antigen Density, Prostate Health Index, and Prostate Health Index Density in Predicting Positive Prostate Biopsy Outcome is Dependent on the Prostate Biopsy Methods. Urology 2019; 129:153-159. [PMID: 30926382 DOI: 10.1016/j.urology.2019.03.018] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Revised: 03/05/2019] [Accepted: 03/20/2019] [Indexed: 01/17/2023]
Abstract
OBJECTIVE To evaluate prognostic markers, prostate-specific antigen, prostate health index (PHI), and prostate volume indexed measures (prostate-specific antigen density and prostate health index density) for predicting positive prostate cancer biopsies in magnetic resonance (MR) transrectal ultrasound fused versus nonfused transrectal ultrasonography biopsy. METHODS A retrospective cohort of 211 patients that had at least 1 suspected MR lesion, Prostate Imaging-Reporting and Data System ≥3, and subsequent biopsy (2015-2017). Clinical characteristics and prognostic biomarkers were evaluated as predictors of prostate cancer detection by type of biopsy guidance (fused vs nonfused). RESULTS One-hundred twenty-one patients had nonfused and 90 had fused biopsies. PHI and PHID had greater area under the receiver operating characteristics curve (AUC) in predicting positive biopsies than prostate-specific antigen or PSAD for both nonfused and fused biopsy. PHI 0.78 (95% CI 0.67-0.88) and PHID 0.82 (95% CI 0.73-0.91) had the greatest AUC for predicting biopsy results for nonfused and fused biopsies, respectively. Multiple-variable models did not improve model fit compared to single variables. Based on Youden's index, a cut-off value of 45.9 for PHI in nonfused and 0.64 for PHID in fused biopsies would reduce the number of negative biopsies by 77.3% and 63.4%, respectively, but the percentage of missed clinically significant cancer biopsies would be 19% and 12%, respectively. CONCLUSION Our findings demonstrate that the choice of prognostic biomarkers for predicting positive biopsies is a function of the biopsy guidance method. Volume indexed derivatives appear to have greater value when a MRI-US fused method is used.
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Affiliation(s)
- Camila Lopes Vendrami
- Department of Radiology, Northwestern Memorial Hospital, Northwestern University Feinberg School of Medicine, Chicago, IL
| | | | - Argha Chatterjee
- Department of Radiology, Northwestern Memorial Hospital, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - David Casalino
- Department of Radiology, Northwestern Memorial Hospital, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Edward M Schaeffer
- Department of Urology, Northwestern Memorial Hospital, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - William J Catalona
- Department of Urology, Northwestern Memorial Hospital, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Frank H Miller
- Department of Radiology, Northwestern Memorial Hospital, Northwestern University Feinberg School of Medicine, Chicago, IL.
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9
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Variation in surgical treatment patterns for patients with prostate cancer in the United States: Do patients in academic hospitals fare better? Urol Oncol 2018; 37:63-70. [PMID: 30446452 DOI: 10.1016/j.urolonc.2018.10.018] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2018] [Revised: 10/01/2018] [Accepted: 10/13/2018] [Indexed: 01/31/2023]
Abstract
INTRODUCTION With prostate cancer (CaP) screening, overtreatment of low-risk CaP remains a concern. We investigated the patterns of radical prostatectomy (RP) for pathologic insignificant (iCaP) and significant CaP (sCaP) as well as variations between academic and nonacademic hospitals. PATIENTS AND METHODS Patients undergoing RP for clinical T1c CaP were identified in the National Cancer Database between 2006 and 2013. The primary outcome was the trend of RP for insignificant prostate cancer (iCaP) and significant prostate cancer (sCaP) over the study period. The secondary outcome was to compare the RP rate in academic vs. nonacademic institutions. Univariable and multivariable analysis were utilized to evaluate the association between overtreatment and practice type. iCaP was defined as organ confined CaP with Gleason Score ≤6. RESULTS The total number of RP increased from 17,970 cases in 2006 to 25,324 in 2013. The RP rate decreased for iCaP from 39.9% to 19.8%, while increasing for sCaP from 18% to 27% over the study period. Patients undergoing RP in academic settings were less likely to have iCaP (odds ratio 0.88, 95% confidence interval 0.80-0.97). Caucasian race, private insurance, younger age, and treatment in the Eastern United States were associated with higher rates of iCaP at RP. CONCLUSION The rate of iCaP has declined over time in the United States for patients undergoing RP. Although RP in nonacademic setting was more likely to have iCaP on surgical pathology, this trend has been downward among practice types. Treatment appropriateness is an underrecognized, undermeasured, but increasingly important component of the high-value care discussion that warrants greater attention.
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10
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Meyerson BL, Streicher J, Sidana A. A magnetic resonance imaging-based prediction model for prostate biopsy risk stratification. Ther Adv Urol 2018; 10:357-358. [PMID: 30344648 DOI: 10.1177/1756287218788812] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Accepted: 06/22/2018] [Indexed: 01/25/2023] Open
Affiliation(s)
- Brian L Meyerson
- Division of Urology, University of Cincinnati College of Medicine, 231 Albert Sabin Way, ML 0589, Cincinnati, OH 45267, USA
| | - Justin Streicher
- Division of Urology, University of Cincinnati College of Medicine. Cincinnati, Ohio, USA
| | - Abhinav Sidana
- Division of Urology, University of Cincinnati College of Medicine. Cincinnati, Ohio, USA
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11
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Salmasi A, Faiena I, Wu J, Sisk AE, Sachveda A, Vandel JJ, Chamie K, Marks LS, Reiter RE. Radical prostatectomy then and now: Surgical overtreatment of prostate cancer is declining from 2009 to 2016 at a tertiary referral center. Urol Oncol 2018; 36:401.e19-401.e25. [DOI: 10.1016/j.urolonc.2018.06.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2018] [Revised: 06/05/2018] [Accepted: 06/09/2018] [Indexed: 12/13/2022]
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12
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Thai JN, Narayanan HA, George AK, Siddiqui MM, Shah P, Mertan FV, Merino MJ, Pinto PA, Choyke PL, Wood BJ, Turkbey B. Validation of PI-RADS Version 2 in Transition Zone Lesions for the Detection of Prostate Cancer. Radiology 2018; 288:485-491. [PMID: 29786491 PMCID: PMC6071681 DOI: 10.1148/radiol.2018170425] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Purpose To determine the association between Prostate Imaging Reporting and Data System (PI-RADS) version 2 scores and prostate cancer (PCa) in a cohort of patients undergoing biopsy of transition zone (TZ) lesions. Materials and Methods A total of 634 TZ lesions in 457 patients were identified from a prospectively maintained database of consecutive patients undergoing prostate magnetic resonance imaging. Prostate lesions were retrospectively categorized with the PI-RADS version 2 system by two readers in consensus who were blinded to histopathologic findings. The proportion of cancer detection for all PCa and for clinically important PCa (Gleason score ≥3+4) for each PI-RADS version 2 category was determined. The performance of PI-RADS version 2 in cancer detection was evaluated. Results For PI-RADS category 2 lesions, the overall proportion of cancers was 4% (one of 25), without any clinically important cancer. For PI-RADS category 3, 4, and 5 lesions, the overall proportion of cancers was 22.2% (78 of 352), 39.1% (43 of 110), and 87.8% (129 of 147), respectively, and the proportion of clinically important cancers was 11.1% (39 of 352), 29.1% (32 of 110), and 77.6% (114 of 147), respectively. Higher PI-RADS version 2 scores were associated with increasing likelihood of the presence of clinically important PCa (P < .001). Differences were found in the percentage of cancers in the PI-RADS category between PI-RADS 3 and those upgraded to PI-RADS 4 based on diffusion-weighted imaging for clinically important cancers (proportion for clinically important cancers for PI-RADS 3 and PI-RADS 3+1 were 11.1% [39 of 352] and 30.8% [28 of 91], respectively; P < .001). Conclusion Higher PI-RADS version 2 scores are associated with a higher proportion of clinically important cancers in the TZ. PI-RADS category 2 lesions rarely yield PCa, and their presence does not justify targeted biopsy.
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Affiliation(s)
- Janice N. Thai
- From the Center for Interventional Oncology (J.N.T., H.A.N., P.S.,
B.J.W.), Molecular Imaging Program (F.V.M., P.L.C., B.T.), Laboratory of
Pathology (M.J.M.), and Urologic Oncology Branch (P.A.P.), National Cancer
Institute and Clinical Center, National Institutes of Health, 10 Center Dr,
Building 10, MSC 1182, Room B3B85, Bethesda, MD 20892; Department of Urology,
University of Michigan Health System, Ann Arbor, Mich (A.K.G.); and Department
of Surgery, Division of Urology, University of Maryland Medical Center,
Baltimore, Md (M.M.S.)
| | - Harish A. Narayanan
- From the Center for Interventional Oncology (J.N.T., H.A.N., P.S.,
B.J.W.), Molecular Imaging Program (F.V.M., P.L.C., B.T.), Laboratory of
Pathology (M.J.M.), and Urologic Oncology Branch (P.A.P.), National Cancer
Institute and Clinical Center, National Institutes of Health, 10 Center Dr,
Building 10, MSC 1182, Room B3B85, Bethesda, MD 20892; Department of Urology,
University of Michigan Health System, Ann Arbor, Mich (A.K.G.); and Department
of Surgery, Division of Urology, University of Maryland Medical Center,
Baltimore, Md (M.M.S.)
| | - Arvin K. George
- From the Center for Interventional Oncology (J.N.T., H.A.N., P.S.,
B.J.W.), Molecular Imaging Program (F.V.M., P.L.C., B.T.), Laboratory of
Pathology (M.J.M.), and Urologic Oncology Branch (P.A.P.), National Cancer
Institute and Clinical Center, National Institutes of Health, 10 Center Dr,
Building 10, MSC 1182, Room B3B85, Bethesda, MD 20892; Department of Urology,
University of Michigan Health System, Ann Arbor, Mich (A.K.G.); and Department
of Surgery, Division of Urology, University of Maryland Medical Center,
Baltimore, Md (M.M.S.)
| | - M. Minhaj Siddiqui
- From the Center for Interventional Oncology (J.N.T., H.A.N., P.S.,
B.J.W.), Molecular Imaging Program (F.V.M., P.L.C., B.T.), Laboratory of
Pathology (M.J.M.), and Urologic Oncology Branch (P.A.P.), National Cancer
Institute and Clinical Center, National Institutes of Health, 10 Center Dr,
Building 10, MSC 1182, Room B3B85, Bethesda, MD 20892; Department of Urology,
University of Michigan Health System, Ann Arbor, Mich (A.K.G.); and Department
of Surgery, Division of Urology, University of Maryland Medical Center,
Baltimore, Md (M.M.S.)
| | - Parita Shah
- From the Center for Interventional Oncology (J.N.T., H.A.N., P.S.,
B.J.W.), Molecular Imaging Program (F.V.M., P.L.C., B.T.), Laboratory of
Pathology (M.J.M.), and Urologic Oncology Branch (P.A.P.), National Cancer
Institute and Clinical Center, National Institutes of Health, 10 Center Dr,
Building 10, MSC 1182, Room B3B85, Bethesda, MD 20892; Department of Urology,
University of Michigan Health System, Ann Arbor, Mich (A.K.G.); and Department
of Surgery, Division of Urology, University of Maryland Medical Center,
Baltimore, Md (M.M.S.)
| | - Francesca V. Mertan
- From the Center for Interventional Oncology (J.N.T., H.A.N., P.S.,
B.J.W.), Molecular Imaging Program (F.V.M., P.L.C., B.T.), Laboratory of
Pathology (M.J.M.), and Urologic Oncology Branch (P.A.P.), National Cancer
Institute and Clinical Center, National Institutes of Health, 10 Center Dr,
Building 10, MSC 1182, Room B3B85, Bethesda, MD 20892; Department of Urology,
University of Michigan Health System, Ann Arbor, Mich (A.K.G.); and Department
of Surgery, Division of Urology, University of Maryland Medical Center,
Baltimore, Md (M.M.S.)
| | - Maria J. Merino
- From the Center for Interventional Oncology (J.N.T., H.A.N., P.S.,
B.J.W.), Molecular Imaging Program (F.V.M., P.L.C., B.T.), Laboratory of
Pathology (M.J.M.), and Urologic Oncology Branch (P.A.P.), National Cancer
Institute and Clinical Center, National Institutes of Health, 10 Center Dr,
Building 10, MSC 1182, Room B3B85, Bethesda, MD 20892; Department of Urology,
University of Michigan Health System, Ann Arbor, Mich (A.K.G.); and Department
of Surgery, Division of Urology, University of Maryland Medical Center,
Baltimore, Md (M.M.S.)
| | - Peter A. Pinto
- From the Center for Interventional Oncology (J.N.T., H.A.N., P.S.,
B.J.W.), Molecular Imaging Program (F.V.M., P.L.C., B.T.), Laboratory of
Pathology (M.J.M.), and Urologic Oncology Branch (P.A.P.), National Cancer
Institute and Clinical Center, National Institutes of Health, 10 Center Dr,
Building 10, MSC 1182, Room B3B85, Bethesda, MD 20892; Department of Urology,
University of Michigan Health System, Ann Arbor, Mich (A.K.G.); and Department
of Surgery, Division of Urology, University of Maryland Medical Center,
Baltimore, Md (M.M.S.)
| | - Peter L. Choyke
- From the Center for Interventional Oncology (J.N.T., H.A.N., P.S.,
B.J.W.), Molecular Imaging Program (F.V.M., P.L.C., B.T.), Laboratory of
Pathology (M.J.M.), and Urologic Oncology Branch (P.A.P.), National Cancer
Institute and Clinical Center, National Institutes of Health, 10 Center Dr,
Building 10, MSC 1182, Room B3B85, Bethesda, MD 20892; Department of Urology,
University of Michigan Health System, Ann Arbor, Mich (A.K.G.); and Department
of Surgery, Division of Urology, University of Maryland Medical Center,
Baltimore, Md (M.M.S.)
| | - Bradford J. Wood
- From the Center for Interventional Oncology (J.N.T., H.A.N., P.S.,
B.J.W.), Molecular Imaging Program (F.V.M., P.L.C., B.T.), Laboratory of
Pathology (M.J.M.), and Urologic Oncology Branch (P.A.P.), National Cancer
Institute and Clinical Center, National Institutes of Health, 10 Center Dr,
Building 10, MSC 1182, Room B3B85, Bethesda, MD 20892; Department of Urology,
University of Michigan Health System, Ann Arbor, Mich (A.K.G.); and Department
of Surgery, Division of Urology, University of Maryland Medical Center,
Baltimore, Md (M.M.S.)
| | - Baris Turkbey
- From the Center for Interventional Oncology (J.N.T., H.A.N., P.S.,
B.J.W.), Molecular Imaging Program (F.V.M., P.L.C., B.T.), Laboratory of
Pathology (M.J.M.), and Urologic Oncology Branch (P.A.P.), National Cancer
Institute and Clinical Center, National Institutes of Health, 10 Center Dr,
Building 10, MSC 1182, Room B3B85, Bethesda, MD 20892; Department of Urology,
University of Michigan Health System, Ann Arbor, Mich (A.K.G.); and Department
of Surgery, Division of Urology, University of Maryland Medical Center,
Baltimore, Md (M.M.S.)
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13
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Filella X, Foj L. Novel Biomarkers for Prostate Cancer Detection and Prognosis. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2018; 1095:15-39. [PMID: 30229547 DOI: 10.1007/978-3-319-95693-0_2] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Prostate cancer (PCa) remains as one of the most controversial issues in health care because of the dilemmas related to screening using Prostate Specific Antigen (PSA). A high number of false positive biopsies and an elevated rate of overdiagnosis are the main problems associated with PSA. New PCa biomarkers have been recently proposed to increase the predictive value of PSA. The published results showed that PCA3 score, Prostate Health Index and 4Kscore can reduce the number of unnecessary biopsies, outperforming better than PSA and the percentage of free PSA. Furthermore, 4Kscore provides with high accuracy an individual risk for high-grade PCa. High values of PHI are also associated with tumor aggressiveness. In contrast, the relationship of PCA3 score with aggressiveness remains controversial, with studies showing opposite conclusions. Finally, the development of molecular biology has opened the study of genes, among them TMPRSS2:ERG fusion gene and miRNAs, in PCa detection and prognosis.
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Affiliation(s)
- Xavier Filella
- Department of Biochemistry and Molecular Genetics (CDB), Hospital Clínic, IDIBAPS, Barcelona, Catalonia, Spain.
| | - Laura Foj
- Department of Biochemistry and Molecular Genetics (CDB), Hospital Clínic, IDIBAPS, Barcelona, Catalonia, Spain
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14
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Javitt MC, Kravtsov A, Keidar Z, Abadi S, Amiel GE. Multimodality Image Fusion with PSMA PET/CT and High-Intensity Focused Ultrasound Focal Therapy for Primary Diagnosis and Management of Prostate Cancer: A Planned Research Initiative. Rambam Maimonides Med J 2017; 8:RMMJ.10312. [PMID: 28777073 PMCID: PMC5652928 DOI: 10.5041/rmmj.10312] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Recent developments in diagnostic imaging herald a new approach to diagnosis and management of prostate cancer. Multimodality fusion that combines anatomic with functional imaging data has surpassed either of the two alone. This opens up the possibility to "find and fix" malignancy with greater accuracy than ever before. This is particularly important for prostate cancer because it is the most common male cancer in most developed countries. This article describes technical advances under investigation at our institution and others using multimodality image fusion of magnetic resonance imaging (MRI), transrectal ultrasound (TRUS), and PSMA PET/CT (defined as the combination of prostate-specific membrane antigen [PSMA], positron emission tomography [PET], and computed tomography [CT]) for personalized medicine in the diagnosis and focal therapy of prostate cancer with high-intensity focused ultrasound (HiFUS).
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Affiliation(s)
- Marcia C Javitt
- Department of Medical Imaging, Rambam Health Care Campus, Haifa, Israel
| | | | - Zohar Keidar
- Department of Nuclear Medicine, Rambam Health Care Campus, Haifa, Israel
| | - Sobhi Abadi
- Department of Medical Imaging, Rambam Health Care Campus, Haifa, Israel
| | - Gilad E Amiel
- Department of Urology, Rambam Health Care Campus, Haifa, Israel
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15
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Hendriks RJ, van der Leest MMG, Dijkstra S, Barentsz JO, Van Criekinge W, Hulsbergen-van de Kaa CA, Schalken JA, Mulders PFA, van Oort IM. A urinary biomarker-based risk score correlates with multiparametric MRI for prostate cancer detection. Prostate 2017; 77:1401-1407. [PMID: 28853167 DOI: 10.1002/pros.23401] [Citation(s) in RCA: 57] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2017] [Accepted: 08/03/2017] [Indexed: 12/19/2022]
Abstract
BACKGROUND Prostate cancer (PCa) diagnostics would greatly benefit from more accurate, non-invasive techniques for the detection of clinically significant disease, leading to a reduction of over-diagnosis and over-treatment. The aim of this study was to determine the association between a novel urinary biomarker-based risk score (SelectMDx), multiparametric MRI (mpMRI) outcomes, and biopsy results for PCa detection. METHODS This retrospective observational study used data from the validation study of the SelectMDx score, in which urine was collected after digital rectal examination from men undergoing prostate biopsies. A subset of these patients also underwent a mpMRI scan of the prostate. The indications for performing mpMRI were based on persistent clinical suspicion of PCa or local staging after PCa was found upon biopsy. All mpMRI images were centrally reviewed in 2016 by an experienced radiologist blinded for the urine test results and biopsy outcome. The PI-RADS version 2 was used. RESULTS In total, 172 patients were included for analysis. Hundred (58%) patients had PCa detected upon prostate biopsy, of which 52 (52%) had high-grade disease correlated with a significantly higher SelectMDx score (P < 0.01). The median SelectMDx score was significantly higher in patients with a suspicious significant lesion on mpMRI compared to no suspicion of significant PCa (P < 0.01). For the prediction of mpMRI outcome, the area-under-the-curve of SelectMDx was 0.83 compared to 0.66 for PSA and 0.65 for PCA3. There was a positive association between SelectMDx score and the final PI-RADS grade. There was a statistically significant difference in SelectMDx score between PI-RADS 3 and 4 (P < 0.01) and between PI-RADS 4 and 5 (P < 0.01). CONCLUSIONS The novel urinary biomarker-based SelectMDx score is a promising tool in PCa detection. This study showed promising results regarding the correlation between the SelectMDx score and mpMRI outcomes, outperforming PCA3. Our results suggest that this risk score could guide clinicians in identifying patients at risk for significant PCa and selecting patients for further radiological diagnostics to reduce unnecessary procedures.
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Affiliation(s)
- Rianne J Hendriks
- Department of Urology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Marloes M G van der Leest
- Department of Nuclear Medicine and Radiology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Siebren Dijkstra
- Department of Urology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Jelle O Barentsz
- Department of Nuclear Medicine and Radiology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Wim Van Criekinge
- Department of Mathematical Modeling, Statistics and Bio-Informatics, Ghent University, Ghent, Belgium
| | | | - Jack A Schalken
- Department of Urology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Peter F A Mulders
- Department of Urology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Inge M van Oort
- Department of Urology, Radboud University Medical Center, Nijmegen, The Netherlands
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16
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Kongnyuy M, Halpern DM, Liu CC, Kosinski KE, Habibian DJ, Corcoran AT, Katz AE. 3-T multiparametric MRI characteristics of prostate cancer patients suspicious for biochemical recurrence after primary focal cryosurgery (hemiablation). Int Urol Nephrol 2017; 49:1947-1954. [PMID: 28799121 DOI: 10.1007/s11255-017-1670-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2017] [Accepted: 07/25/2017] [Indexed: 12/26/2022]
Abstract
INTRODUCTION We aimed to report on multiparametric MRI (mpMRI) characteristics of post-primary focal cryosurgery (PFC) patients suspected of biochemical recurrence (BCR) by the Phoenix criteria. METHODS We retrospectively reviewed all patients at our institution who had undergone PFC. Prostate-specific antigen nadir was determined using 2 or more post-PFC values. Suspicion of BCR was determined using the Phoenix criteria (nadir + 2 ng/ml). At the discretion of the physician, pre-and post-PFC 3-T mpMRIs were obtained and in a few cases biopsies were performed. RESULTS Ninety (58.4%) of 154 consecutive patients who underwent PFC were included in our analysis and had a median (range) age and prostate volume of 66.5 (48-82) years and 40.5 (16-175) ml, respectively. Of those suspected of BCR (37/90, 41.1%), with a median time to BCR of 19.9 (7.0-38.5) months, 27 patients (73.0%) underwent a post-PFC mpMRI. Twenty-two (81.5%) of these mpMRIs were found with 24 suspicious lesions. A considerable number (9/24, 37.5%) of these lesions were located in the central gland of the prostate. Seven of 24 lesions exhibited adverse mpMRI characteristic; 4 (16.7%) had capsular contact, 2 (8.2%) showed frank extracapsular extension, and 1 (4.2%) showed seminal vesicle invasion. Five (45.5%) of 11 patients with positive post-PFC mpMRIs were positive on biopsy (4/5, 80% were clinically significant prostate cancer). CONCLUSION Post-PFC mpMRI, at Phoenix suspicion of BCR, may help identify a significant number of patients failing post-PFC.
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Affiliation(s)
- Michael Kongnyuy
- Department of Urology, NYU-Winthrop University, 1300 Franklin Ave, Garden City, Mineola, NY, USA.
| | - Daniel M Halpern
- Department of Urology, NYU-Winthrop University, 1300 Franklin Ave, Garden City, Mineola, NY, USA
| | - Corinne C Liu
- Department of Radiology, NYU-Winthrop University, Mineola, NY, USA
| | - Kaitlin E Kosinski
- Department of Urology, NYU-Winthrop University, 1300 Franklin Ave, Garden City, Mineola, NY, USA
| | - David J Habibian
- St George's University School of Medicine, St. George's, Grenada
| | - Anthony T Corcoran
- Department of Urology, NYU-Winthrop University, 1300 Franklin Ave, Garden City, Mineola, NY, USA
| | - Aaron E Katz
- Department of Urology, NYU-Winthrop University, 1300 Franklin Ave, Garden City, Mineola, NY, USA
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17
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Turkbey B, Choyke PL. Prostate cancer imaging: a special focus issue from Future Oncology. Future Oncol 2017; 12:2389-2391. [PMID: 27734724 DOI: 10.2217/fon-2016-0396] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Affiliation(s)
- Baris Turkbey
- National Institutes of Health, National Cancer Institute - Molecular Imaging Program, Bethesda, MD, USA
| | - Peter L Choyke
- National Institutes of Health, National Cancer Institute - Molecular Imaging Program, Bethesda, MD, USA
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18
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Reply by Authors. J Urol 2017; 197:334. [DOI: 10.1016/j.juro.2016.08.130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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