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Pozaruk A, Atamaniuk V, Pawar K, Carey A, Cheng J, Cholewa M, Grummet J, Chen Z, Egan G. Correlations Between MR Apparent Diffusion Coefficients and PET Standard Uptake Values in Simultaneous MR-PET Imaging of Prostate Cancer. Int J Mol Sci 2025; 26:905. [PMID: 39940674 PMCID: PMC11817574 DOI: 10.3390/ijms26030905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2024] [Revised: 01/16/2025] [Accepted: 01/20/2025] [Indexed: 02/16/2025] Open
Abstract
This study evaluated the hypothesis that 68Ga-PSMA-11 PET SUV, obtained via an advanced DL approach, correlates better with MR ADC maps than values from conventional PET-MR. Additionally, we aimed to identify the optimal SUV threshold for maximum correlation with ADC values. A cohort of 32 prostate cancer patients underwent CT and corresponding PET-MR imaging. The dataset underwent K-fold cross-validation, dividing it into four folds. In each fold, 24 patients were used for training, and 8 for validation to create DL models. ADC maps from 27 out of 32 patients were successfully aligned with T2 images for detailed analysis, revealing an inverse correlation (ρ = -0.20 to -0.51) between ADC and SUV values in prostate cancer zones. Statistically significant differences in mean SUV values were observed between PETMRI and PETDL. DL-based SUV values show a stronger correlation with ADC than conventional PET-MR values in our investigation.
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Affiliation(s)
- Andrii Pozaruk
- Department of Photomedicine and Physical Chemistry, Institute of Medical Sciences, The Medical College of The University of Rzeszów, 35-310 Rzeszów, Poland
- Institute of Physics, College of Natural Sciences, University of Rzeszów, 35-959 Rzeszów, Poland; (V.A.); (M.C.)
- Monash Biomedical Imaging, Monash University, Clayton, VIC 3168, Australia; (K.P.); (A.C.); (Z.C.); (G.E.)
| | - Vitaliy Atamaniuk
- Institute of Physics, College of Natural Sciences, University of Rzeszów, 35-959 Rzeszów, Poland; (V.A.); (M.C.)
| | - Kamlesh Pawar
- Monash Biomedical Imaging, Monash University, Clayton, VIC 3168, Australia; (K.P.); (A.C.); (Z.C.); (G.E.)
- Monash Institute of Cognitive and Clinical Neurosciences and School of Psychological Sciences, Monash University, Clayton, VIC 3168, Australia
| | - Alexandra Carey
- Monash Biomedical Imaging, Monash University, Clayton, VIC 3168, Australia; (K.P.); (A.C.); (Z.C.); (G.E.)
- Monash Imaging, Monash Health, Clayton, VIC 3168, Australia
| | - Jeremy Cheng
- Department of Surgery, Central Clinical School, Monash University, Melbourne, VIC 3004, Australia; (J.C.); (J.G.)
| | - Marian Cholewa
- Institute of Physics, College of Natural Sciences, University of Rzeszów, 35-959 Rzeszów, Poland; (V.A.); (M.C.)
| | - Jeremy Grummet
- Department of Surgery, Central Clinical School, Monash University, Melbourne, VIC 3004, Australia; (J.C.); (J.G.)
| | - Zhaolin Chen
- Monash Biomedical Imaging, Monash University, Clayton, VIC 3168, Australia; (K.P.); (A.C.); (Z.C.); (G.E.)
- Department of Data Science and AI, Faculty of Information Technology, Monash University, Clayton, VIC 3168, Australia
| | - Gary Egan
- Monash Biomedical Imaging, Monash University, Clayton, VIC 3168, Australia; (K.P.); (A.C.); (Z.C.); (G.E.)
- Monash Institute of Cognitive and Clinical Neurosciences and School of Psychological Sciences, Monash University, Clayton, VIC 3168, Australia
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Fan X, Chatterjee A, Medved M, Antic T, Oto A, Karczmar GS. Introduction to matrix-based method for analyzing hybrid multidimensional prostate MRI data. J Appl Clin Med Phys 2025; 26:e14544. [PMID: 39568316 PMCID: PMC11713853 DOI: 10.1002/acm2.14544] [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: 03/07/2024] [Revised: 08/29/2024] [Accepted: 09/13/2024] [Indexed: 11/22/2024] Open
Abstract
A new approach to analysis of prostate hybrid multidimensional MRI (HM-MRI) data was introduced in this study. HM-MRI data were acquired for a combination of a few echo times (TEs) and a few b-values. Naturally, there is a matrix associated with HM-MRI data for each image pixel. To process the data, we first linearized HM-MRI data by taking the natural logarithm of the imaging signal intensity. Subsequently, a hybrid symmetric matrix was constructed by multiplying the matrix for each pixel by its own transpose. The eigenvalues for each pixel could then be calculated from the hybrid symmetric matrix. In order to compare eigenvalues between patients, three b-values and three TEs were used, because this was smallest number of b-values and TEs among all patients. The results of eigenvalues were displayed as qualitative color maps for easier visualization. For quantitative analysis, the ratio (λr) of eigenvalues (λ1, λ2, λ3) was defined as λr = (λ1/λ2)/λ3 to compare region of interest (ROI) between prostate cancer (PCa) and normal tissue. The results show that the combined eigenvalue maps show PCas clearly and these maps are quite different from apparent diffusion coefficient (ADC) and T2 maps of the same prostate. The PCa has significant larger λr, smaller ADC and smaller T2 values than normal prostate tissue (p < 0.001). This suggests that the matrix-based method for analyzing HM-MRI data provides new information that may be clinically useful. The method is easy to use and could be easily implemented in clinical practice. The eigenvalues are associated with combination of ADC and T2 values, and could aid in the identification and staging of PCa.
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Affiliation(s)
- Xiaobing Fan
- Department of RadiologyThe University of ChicagoChicagoIllinoisUSA
| | | | - Milica Medved
- Department of RadiologyThe University of ChicagoChicagoIllinoisUSA
| | - Tatjana Antic
- Department of PathologyThe University of ChicagoChicagoIllinoisUSA
| | - Aytekin Oto
- Department of RadiologyThe University of ChicagoChicagoIllinoisUSA
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Starobinets O, Simko JP, Gibbons M, Kurhanewicz J, Carroll PR, Noworolski SM. The impact of benign tissue within cancerous regions in the prostate: Characterizing sparse and dense prostate cancers on whole-mount histopathology and on multiparametric MRI. Magn Reson Imaging 2024; 114:110233. [PMID: 39260625 DOI: 10.1016/j.mri.2024.110233] [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: 02/16/2024] [Revised: 08/22/2024] [Accepted: 09/06/2024] [Indexed: 09/13/2024]
Abstract
PURPOSE To establish the incidence, size, zonal location and Gleason Score(GS)/Gleason Grade Group(GG) of sparse versus dense prostate cancer (PCa) lesions and to identify the imaging characteristics of sparse versus dense cancers on multiparametric MRI (mpMRI). METHODS Seventy-six men with untreated PCa were scanned prior to prostatectomy with endorectal-coil 3 T MRI including T2-weighted imaging, diffusion-weighted imaging and dynamic contrast-enhanced MRI. Cancerous regions were outlined and graded on the whole-mount, processed specimens, with tissue compositions estimated. Regions with cancer comprising <50 % and ≥ 50 % of the tissue were considered sparse and dense respectively. Regions of interest (ROI) were manually drawn on T2-weighted MRI. Within each patient, area-weighted ROI averages were calculated for each imaging measure for each tissue type, GS/GG, and sparse/dense composition. RESULTS A large number of cancer regions were identified on histopathology (n = 1193: 939 (peripheral zone (PZ)) and 254 (transition zone (TZ))). Thirty-seven percent of these lesions were sparse. Sparse lesions were primarily low-grade with the majority of PZ and 100 % of TZ sparse lesions ≤GS3 + 3/GG1. Dense lesions were significantly larger than sparse lesions in both PZ and TZ, p < 0.0001. On imaging, 246/45 PZ and 109/8 TZ dense/sparse 2D cancerous ROIs were drawn. Sparse GS3 + 3 and sparse ≥GS3 + 4 cancers did not have significantly different MRI intensities to dense GS3 + 3 cancers, while sparse GS3 + 3/GG1 cancers differed from benign, p < 0.05. CONCLUSION Histopathologically identified prostate cancer lesions were sparse in 37 % of cases. Sparse cancers were entirely low grade in TZ and predominantly low-grade in PZ and generally small, thus likely posing lower risk for spread and progression than dense lesions. Sparse lesions were not distinguishable from dense lesions on mpMRI, but could be distinguished from benign tissues.
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Affiliation(s)
- Olga Starobinets
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA 94143, USA; The Graduate Group in Bioengineering, University of California, San Francisco and Berkeley, Berkeley, CA 94720, USA
| | - Jeffry P Simko
- Department of Pathology, University of California, San Francisco, San Francisco, CA 94143, USA; Department of Urology, University of California, San Francisco, San Francsico, CA 94143, USA; UCSF Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA 94143, USA.
| | - Matthew Gibbons
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA 94143, USA.
| | - John Kurhanewicz
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA 94143, USA; The Graduate Group in Bioengineering, University of California, San Francisco and Berkeley, Berkeley, CA 94720, USA; UCSF Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA 94143, USA.
| | - Peter R Carroll
- Department of Urology, University of California, San Francisco, San Francsico, CA 94143, USA; UCSF Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA 94143, USA.
| | - Susan M Noworolski
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA 94143, USA; The Graduate Group in Bioengineering, University of California, San Francisco and Berkeley, Berkeley, CA 94720, USA; UCSF Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA 94143, USA.
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Shen L, Xu H, Liao Q, Yuan Y, Yu D, Wei J, Yang Z, Wang L. A Feasibility Study of AI-Assisted Compressed Sensing in Prostate T2-Weighted Imaging. Acad Radiol 2024; 31:5022-5033. [PMID: 39068095 DOI: 10.1016/j.acra.2024.06.048] [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: 04/21/2024] [Revised: 06/15/2024] [Accepted: 06/28/2024] [Indexed: 07/30/2024]
Abstract
RATIONALE AND OBJECTIVES To evaluate the image quality and PI-RADS scoring performance of prostate T2-weighted imaging (T2WI) based on AI-assisted compressed sensing (ACS). MATERIALS AND METHODS In this prospective study, adult male urological outpatients or inpatients underwent prostate MRI, including T2WI, diffusion-weighted imaging and apparent diffusion coefficient maps. Three accelerated scanning protocols using parallel imaging (PI) and ACS: T2WIPI, T2WIACS1 and T2WIACS2 were evaluated through comparative analysis. Quantitative analysis included signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), slope profile, and edge rise distance (ERD). Image quality was qualitatively assessed using a five-point Likert scale (ranging from 1 = non-diagnostic to 5 = excellent). PI-RADS scores were determined for the largest or most suspicious lesions in each patient. The Friedman test and one-way ANOVA with post hoc tests were utilized for group comparisons, with statistical significance set at P < 0.05. RESULTS This study included 40 participants. Compared to PI, ACS reduced acquisition time by over 50%, significantly enhancing the CNR of sagittal and axial T2WI (P < 0.05), significantly improving the image quality of sagittal and axial T2WI (P < 0.05). No significant differences were observed in slope profile, ERD, and PI-RADS scores between groups (P > 0.05). CONCLUSION ACS reduced prostate T2WI acquisition time by half while improving image quality without affecting PI-RADS scores.
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Affiliation(s)
- Liting Shen
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China (L.S., H.X., Q.L., Y.Y., Z.Y., L.W.)
| | - Hui Xu
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China (L.S., H.X., Q.L., Y.Y., Z.Y., L.W.)
| | - Qian Liao
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China (L.S., H.X., Q.L., Y.Y., Z.Y., L.W.)
| | - Ying Yuan
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China (L.S., H.X., Q.L., Y.Y., Z.Y., L.W.)
| | - Dan Yu
- United Imaging Research Institute of Intelligent Imaging, Beijing 100050, China (D.Y.)
| | - Jie Wei
- Shanghai United Imaging Intelligence Co., Ltd., Shanghai 200000, China (J.W.)
| | - Zhenghan Yang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China (L.S., H.X., Q.L., Y.Y., Z.Y., L.W.)
| | - Liang Wang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China (L.S., H.X., Q.L., Y.Y., Z.Y., L.W.).
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Jin X, Cai Y, Ren X. Comparison of 68Ga-PSMA PET and mpMRI for prostate cancer local staging: a comprehensive review and direct meta-analysis. Front Oncol 2024; 14:1410229. [PMID: 39555446 PMCID: PMC11563965 DOI: 10.3389/fonc.2024.1410229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2024] [Accepted: 10/14/2024] [Indexed: 11/19/2024] Open
Abstract
Purpose This meta-analysis is conducted to evaluate the comparative diagnostic efficacy of 68Ga-PSMA PET vs. mpMRI in detecting local staging of prostate cancer(PCa). Methods A comprehensive search was conducted in the PubMed and Embase databases to identify publications up to February 2024. The analysis included studies that evaluated the direct comparison of 68Ga-PSMA PET and mpMRI for local staging of prostate cancer. The reliability of the analyzed studies was evaluated using the QUADAS-2 tool. Results The meta-analysis included 10 articles involving 505 patients, which revealed that both 68Ga-PSMA PET and mpMRI had similar sensitivities and specificities in detecting extracapsular extension(ECE) and seminal vesicle invasion(SVI). The sensitivities for ECE were 0.56 (95% CI: 0.41-0.71) for 68Ga-PSMA PET and 0.57 (95% CI: 0.43-0.71) for mpMRI, and specificities were both 0.84 (68Ga-PSMA PET 95% CI: 0.75-0.91, mpMRI 95% CI: 0.76-0.91).For SVI, sensitivities were 0.57 (95% CI: 0.46-0.68) for 68Ga-PSMA PET and 0.70 (95% CI: 0.60-0.80) for mpMRI, with specificities of 0.92 (95% CI: 0.86-0.96) for 68Ga-PSMA PET and 0.94 (95% CI: 0.89-0.98) for mpMRI. There were no notable variations in sensitivity or specificity between the two methods for detecting ECE and SVI (P = 0.89 and 0.93 for ECE, 0.09 and 0.57 for SVI). Conclusions This meta-analysis indicates that 68Ga-PSMA PET has similar sensitivity and specificity to mpMRI in local prostate cancer staging. Nevertheless, the limited study sample size calls for further, larger prospective studies to validate these findings. Systematic review registration https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=522438, identifier CRD42024522438.
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Affiliation(s)
- Xinyu Jin
- Department of Paediatrics, Shanxi Medical University, Taiyuan, China
| | - Yijie Cai
- Department of Second Clinical Medical College, Shanxi Medical University, Taiyuan, China
| | - Xiaolu Ren
- Department of Radiology, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China
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Yuan H, Huang M, Liu T, Song W, Luo C. Application value of multi-parameter magnetic resonance image-transrectal ultrasound cognitive fusion in prostate biopsy. Open Med (Wars) 2024; 19:20241026. [PMID: 39291281 PMCID: PMC11406436 DOI: 10.1515/med-2024-1026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 04/03/2024] [Accepted: 08/06/2024] [Indexed: 09/19/2024] Open
Abstract
Objective To investigate the effect of three-dimensional (3D) reconstruction-assisted cognitive fusion in targeted prostate biopsy. Results There was no significant difference in the detection rate of prostate cancer (PCa) between targeted biopsy and systematic biopsy, and there was significant difference in the detection rate of clinically significant prostate cancer (csPCa) between targeted biopsy and systematic biopsy. In the low prostate total specific antigen (tPSA) group, there was no statistically significant difference in the detection rate of prostate cancer between the two biopsy modalities. However, compared with systematic puncture, targeted puncture had a higher detection rate for csPCa and a lower detection rate for clinically insignificant prostate cancer (ciPCa), and the difference was statistically significant. In the high tPSA group, there was no significant difference in the detection rate of PCa, csPCa, and ciPCa between the two biopsy types. Single needle positive rate of targeted puncture (29.77%) was significantly higher than that of systematic puncture (10.28%). Conclusions The detection rate of csPCa in 3D reconstruction-assisted cognitive fusion targeted prostate biopsy is better than that of 12-needle systematic biopsy, which markedly improved the positive rate of prostate biopsy.
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Affiliation(s)
- Haichuan Yuan
- Department of Urology, Renhe Hospital, Shanghai, 200431, People Republic of China
| | - Min Huang
- Preventive Health Care Section, Gaojing Town Community Health Service Center, Shanghai, 200435, People Republic of China
| | - Tao Liu
- Department of Urology, Youyi Street Community Health Service Center, Shanghai, 201999, People Republic of China
| | - Wu Song
- Department of Urology, Renhe Hospital, Shanghai, 200431, People Republic of China
| | - Chengpeng Luo
- Department of Urology, Renhe Hospital, Baoshan District, 1999 West Changjiang Road, Shanghai, 200431, People Republic of China
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in de Braekt T, van Rooij SBT, Daniels-Gooszen AW, Scheepens WA, de Jongh R, Bosch SL, Nederend J. Accuracy of MRI-ultrasound fusion-guided and systematic biopsy of the prostate. Br J Radiol 2024; 97:1132-1138. [PMID: 38627253 PMCID: PMC11135791 DOI: 10.1093/bjr/tqae080] [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: 11/29/2023] [Revised: 03/25/2024] [Accepted: 04/11/2024] [Indexed: 05/31/2024] Open
Abstract
OBJECTIVES Prostate multiparametric MRI (mpMRI) with subsequent targeted biopsy of suspicious lesions has a critical role in the diagnostic workup of prostate cancer. The objective was to evaluate the diagnostic accuracy of systematic biopsies, targeted biopsies, and the combination of both in prostate cancer detection. METHODS From January 1, 2013 to June 1, 2022, biopsy-naïve and prior biopsy-negative patients who underwent both systematic and targeted biopsies were included. MRIs were evaluated according to PI-RADS with biopsy threshold set at PI-RADS ≥3. Systematic biopsies consisted of 8-12 cores, based on prostate volume. Overall prostate cancer and clinically significant cancer (Gleason Score ≥3 + 4) detection rates were stratified based on PI-RADS and location within the prostate, and compared between biopsy types using McNemar test. RESULTS Among 867 patients, 615 had prostate cancer, with 434 clinically significant cases. Overall detection rates were: PI-RADS 3 48%, PI-RADS 4 72%, and PI-RADS 5 90%. Detection rates for clinically significant cancer were 21%, 53%, and 72%, respectively. The combination of biopsy methods was most accurate in detecting clinically significant prostate cancer (P < .001). Targeted biopsies alone detected more clinically significant prostate cancer than systematic biopsies alone (43.1% vs 40.3%, P = .046). For posterior PI-RADS 5 lesions, no statistically significant difference was found between all biopsy methods. CONCLUSIONS In the detection of clinically significant prostate cancer, the combination of systematic and targeted biopsies proves most effective. Targeted biopsies rarely missed significant cancer for posterior PI-RADS 5 lesions, suggesting systematic biopsies could be reserved for instances where targeted biopsy results are negative. ADVANCES IN KNOWLEDGE This study emphasizes on the efficacy of mpMRI and targeted biopsies in suspected prostate cancer in real-world clinical context. For PI-RADS 5 lesions, systematic biopsies provide limited clinical benefit and may only be necessary when targeted biopsy results are negative.
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Affiliation(s)
- Thomas in de Braekt
- Department of Radiology, Catharina Hospital, Eindhoven, 5623 EJ, The Netherlands
| | | | | | - Wout A Scheepens
- Department of Urology, Catharina Hospital, Eindhoven, 5623 EJ, The Netherlands
| | - Rik de Jongh
- Department of Urology, Catharina Hospital, Eindhoven, 5623 EJ, The Netherlands
| | - Steven L Bosch
- Department of Pathology, Eurofins-PAMM, Eindhoven, 5623 EJ, The Netherlands
| | - Joost Nederend
- Department of Radiology, Catharina Hospital, Eindhoven, 5623 EJ, The Netherlands
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Colarieti A, Sardanelli F. Clinical trials for evidence-based radiology: to randomize or not to randomize? This is the question. LA RADIOLOGIA MEDICA 2024; 129:80-82. [PMID: 37957453 DOI: 10.1007/s11547-023-01746-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 10/19/2023] [Indexed: 11/15/2023]
Affiliation(s)
- Anna Colarieti
- Unit of Radiology, IRCCS Policlinico San Donato, Via Morandi 30, 20097, San Donato Milanese, Milan, Italy.
| | - Francesco Sardanelli
- Unit of Radiology, IRCCS Policlinico San Donato, Via Morandi 30, 20097, San Donato Milanese, Milan, Italy
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy
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Yun H, Kim J, Gandhe A, Nelson B, Hu JC, Gulani V, Margolis D, Schackman BR, Jalali A. Cost-Effectiveness of Annual Prostate MRI and Potential MRI-Guided Biopsy After Prostate-Specific Antigen Test Results. JAMA Netw Open 2023; 6:e2344856. [PMID: 38019516 PMCID: PMC10687655 DOI: 10.1001/jamanetworkopen.2023.44856] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 10/13/2023] [Indexed: 11/30/2023] Open
Abstract
Importance Magnetic resonance imaging (MRI) and potential MRI-guided biopsy enable enhanced identification of clinically significant prostate cancer. Despite proven efficacy, MRI and potential MRI-guided biopsy remain costly, and there is limited evidence regarding the cost-effectiveness of this approach in general and for different prostate-specific antigen (PSA) strata. Objective To examine the cost-effectiveness of integrating annual MRI and potential MRI-guided biopsy as part of clinical decision-making for men after being screened for prostate cancer compared with standard biopsy. Design, Setting, and Participants Using a decision analytic Markov cohort model, an economic evaluation was conducted projecting outcomes over 10 years for a hypothetical cohort of 65-year-old men in the US with 4 different PSA strata (<2.5 ng/mL, 2.5-4.0 ng/mL, 4.1-10.0 ng/mL, >10 ng/mL) identified by screening through Monte Carlo microsimulation with 10 000 trials. Model inputs for probabilities, costs in 2020 US dollars, and quality-adjusted life-years (QALYs) were from the literature and expert consultation. The model was specifically designed to reflect the US health care system, adopting a federal payer perspective (ie, Medicare). Exposures Magnetic resonance imaging with potential MRI-guided biopsy and standard biopsy. Main Outcomes and Measures Incremental cost-effectiveness ratios (ICERs) using a willingness-to-pay threshold of $100 000 per QALY was estimated. One-way and probabilistic sensitivity analyses were performed. Results For the 3 PSA strata of 2.5 ng/mL or greater, the MRI and potential MRI-guided biopsy strategy was cost-effective compared with standard biopsy (PSA 2.5-4.0 ng/mL: base-case ICER, $21 131/QALY; PSA 4.1-10.0 ng/mL: base-case ICER, $12 336/QALY; PSA >10.0 ng/mL: base-case ICER, $6000/QALY). Results varied depending on the diagnostic accuracy of MRI and potential MRI-guided biopsy. Results of probabilistic sensitivity analyses showed that the MRI and potential MRI-guided biopsy strategy was cost-effective at the willingness-to-pay threshold of $100 000 per QALY in a range between 76% and 81% of simulations for each of the 3 PSA strata of 2.5 ng/mL or more. Conclusions and Relevance This economic evaluation of a hypothetical cohort suggests that an annual MRI and potential MRI-guided biopsy was a cost-effective option from a US federal payer perspective compared with standard biopsy for newly eligible male Medicare beneficiaries with a serum PSA level of 2.5 ng/mL or more.
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Affiliation(s)
- Hyunkyung Yun
- Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, New York
- Department of Health Services, Policy & Practice, School of Public Health, Brown University, Providence, Rhode Island
| | - Jin Kim
- Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, New York
| | - Aishwarya Gandhe
- Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, New York
| | - Brianna Nelson
- Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, New York
| | - Jim C. Hu
- Department of Urology, Weill Cornell Medicine, Cornell University, New York, New York
| | - Vikas Gulani
- Department of Radiology, University of Michigan Health System, Ann Arbor
| | - Daniel Margolis
- Department of Radiology, Weill Cornell Medicine, Cornell University, New York, New York
| | - Bruce R. Schackman
- Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, New York
| | - Ali Jalali
- Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, New York
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Massanova M, Vere R, Robertson S, Crocetto F, Barone B, Dutto L, Ahmad I, Underwood M, Salmond J, Patel A, Celentano G, Bhatt JR. Clinical and prostate multiparametric magnetic resonance imaging findings as predictors of general and clinically significant prostate cancer risk: A retrospective single-center study. Curr Urol 2023; 17:147-152. [PMID: 37448611 PMCID: PMC10337816 DOI: 10.1097/cu9.0000000000000173] [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: 09/17/2021] [Accepted: 03/27/2022] [Indexed: 02/05/2023] Open
Abstract
Background To evaluate the predictive values of Prostate Imaging Reporting and Data System version 2 (PI-RADS v2), prostate-specific antigen (PSA) level, PSA density (PSAD), digital rectal examination findings, and prostate volume, individually and in combination, for the detection of prostate cancer (PCa) in biopsy-naive patients. Methods We retrospectively analyzed 630 patients who underwent transrectal systematic prostate biopsy following prostate multiparametric magnetic resonance imaging. A standard 12-core biopsy procedure was performed. Univariate and multivariate analyses were performed to determine the significant predictors of clinically significant cancer but not PCa. Results The median age, PSA level, and PSAD were 70 years, 8.6 ng/mL, and 0.18 ng/mL/mL, respectively. A total of 374 (59.4%) of 630 patients were biopsy-positive for PCa, and 241 (64.4%) of 374 were diagnosed with clinically significant PCa (csPCa). The PI-RADS v2 score and PSAD were independent predictors of PCa and csPCa. The PI-RADS v2 score of 5 regardless of the PSAD value, or PI-RADS v2 score of 4 plus a PSAD of <0.3 ng/mL/mL, was associated with the highest csPCa detection rate (36.1%-82.1%). Instead, the PI-RADS v2 score of <3 and PSAD of <0.3 ng/mL/mL yielded the lowest risk of csPCa. Conclusion The combination of the PI-RADS v2 score and PSAD could prove to be a helpful and reliable diagnostic tool before performing prostate biopsies. Patients with a PI-RADS v2 score of <3 and PSAD of <0.3 ng/mL/mL could potentially avoid a prostate biopsy.
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Affiliation(s)
- Matteo Massanova
- Department of Urology, Queen Elizabeth University Hospital, Glasgow, UK
| | - Rebecca Vere
- Department of Urology, Queen Elizabeth University Hospital, Glasgow, UK
| | - Sophie Robertson
- Department of Urology, Queen Elizabeth University Hospital, Glasgow, UK
| | - Felice Crocetto
- Department of Neuroscience, Reproductive and Odontostomatological Sciences, School of Medicine, University of Naples “Federico II,” Naples, Italy
| | - Biagio Barone
- Department of Neuroscience, Reproductive and Odontostomatological Sciences, School of Medicine, University of Naples “Federico II,” Naples, Italy
| | - Lorenzo Dutto
- Department of Urology, Queen Elizabeth University Hospital, Glasgow, UK
| | - Imran Ahmad
- Department of Urology, Queen Elizabeth University Hospital, Glasgow, UK
| | - Mark Underwood
- Department of Urology, Queen Elizabeth University Hospital, Glasgow, UK
| | - Jonathan Salmond
- Department of Pathology, Queen Elizabeth University Hospital, Glasgow, UK
| | - Amit Patel
- Department of Radiology, Queen Elizabeth University Hospital, Glasgow, UK
| | - Giuseppe Celentano
- Department of Neuroscience, Reproductive and Odontostomatological Sciences, School of Medicine, University of Naples “Federico II,” Naples, Italy
| | - Jaimin R. Bhatt
- Department of Urology, Queen Elizabeth University Hospital, Glasgow, UK
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Pugliesi A, de Oliveira AB, Oliveira AB, Xavier R, da Mota LMH, Bertolo MB, Gonzalez-Gay MA, Citera G, de Carvalho LSF. Compared efficacy of rituximab, abatacept, and tocilizumab in patients with rheumatoid arthritis refractory to methotrexate or TNF inhibitors agents: a systematic review and network meta-analysis. Adv Rheumatol 2023; 63:30. [PMID: 37415193 DOI: 10.1186/s42358-023-00298-z] [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: 04/05/2022] [Accepted: 04/10/2023] [Indexed: 07/08/2023] Open
Abstract
BACKGROUND Our aim was to compare the efficacy of rituximab, tocilizumab, and abatacept in individuals with rheumatoid arthritis (RA) refractory to treatments with MTX or TNFi agents. METHODS We searched 6 databases until January 2023 for phase 2-4 RCTs evaluating patients with RA refractory to MTX or TNFi therapy treated with rituximab, abatacept, and tocilizumab (intervention arm) compared to controls. Study data were independently assessed by two investigators. The primary outcome was considered as achieving ACR70 response. RESULTS The meta-analysis included 19 RCTs, with 7,835 patients and a mean study duration of 1.2 years. Hazard ratios for achieving an ACR70 response at six months were not different among the bDMARDs, however, we found high heterogeneity. Three factors showing a critical imbalance among the bDMARD classes were identified: baseline HAQ score, study duration, and frequency of TNFi treatment in control arm. Multivariate meta-regression adjusted to these three factors were conducted for the relative risk (RR) for ACR70. Thus, heterogeneity was attenuated (I2 = 24%) and the explanatory power of the model increased (R2 = 85%). In this model, rituximab did not modify the chance of achieving an ACR70 response compared to abatacept (RR = 1.773, 95%CI 0.113-10.21, p = 0.765). In contrast, abatacept was associated with RR = 2.217 (95%CI 1.554-3.161, p < 0.001) for ACR70 compared to tocilizumab. CONCLUSION We found high heterogeneity among studies comparing rituximab, abatacept, and tocilizumab. On multivariate metaregressions, if the conditions of the RCTs were similar, we estimate that abatacept could increase the chance of reaching an ACR70 response by 2.2-fold compared to tocilizumab.
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Affiliation(s)
- Alisson Pugliesi
- Hospital de Clínicas, Faculty of Medical Sciences, State University of Campinas (UNICAMP), Campinas, SP, Brazil
| | | | - Ana Beatrice Oliveira
- Health Sciences Research and Teaching Foundation of Brasília (ESCS/FEPECS), Brasília, DF, Brazil
| | - Ricardo Xavier
- Rheumatology Service, Federal University of Rio Grande Do Sul, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Licia Maria Henrique da Mota
- Hospital Universitário de Brasília, University of Brasília (HUB-UnB-EBSERH), Brasília, DF, Brazil
- Medical Sciences at Faculty of Medicine, University of Brasília (UnB), Brasília, DF, Brazil
| | - Manoel Barros Bertolo
- Hospital de Clínicas, Faculty of Medical Sciences, State University of Campinas (UNICAMP), Campinas, SP, Brazil
| | - Miguel Angel Gonzalez-Gay
- Division of Rheumatology, Hospital Universitário Marqués de Valdecilla, IDIVAL, Universidad de Cantabria, Santander, Spain
| | - Gustavo Citera
- Section of Rheumatology, Instituto de Rheabilitacion Psicofisica, Buenos Aires, Argentina
| | - Luiz Sergio Fernandes de Carvalho
- Health Sciences Research and Teaching Foundation of Brasília (ESCS/FEPECS), Brasília, DF, Brazil.
- Laboratory of Data for Quality of Care and Outcomes Research (LaDaQCOR), Catholic University of Brasília (UCB), QS 07, Lote 01, Taguatinga Sul-Taguatinga, Brasília, DF, 71966-700, Brazil.
- Medical Data Analyst, Data Lab, Clarity Healthcare Intelligence, Jundiai, SP, Brazil.
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12
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Ferraro S, Biganzoli D, Rossi RS, Palmisano F, Bussetti M, Verzotti E, Gregori A, Bianchi F, Maggioni M, Ceriotti F, Cereda C, Zuccotti G, Kavsak P, Plebani M, Marano G, Biganzoli EM. Individual risk prediction of high grade prostate cancer based on the combination between total prostate-specific antigen (PSA) and free to total PSA ratio. Clin Chem Lab Med 2023; 61:1327-1334. [PMID: 36704961 DOI: 10.1515/cclm-2023-0008] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 01/19/2023] [Indexed: 01/28/2023]
Abstract
OBJECTIVES Clinical practice guidelines endorse the stratification of prostate cancer (PCa) risk according to individual total prostate-specific antigen (tPSA) values and age to enhance the individual risk-benefit ratio. We defined two nomograms to predict the individual risk of high and low grade PCa by combining the assay of tPSA and %free/tPSA (%f/tPSA) in patients with a pre-biopsy tPSA between 2 and 10 μg/L. METHODS The study cohort consisted of 662 patients that had fPSA, tPSA, and a biopsy performed (41.3% with a final diagnosis of PCa). Logistic regression including age, tPSA and %f/tPSA was used to model the probability of having high or low grade cancer by defining 3 outcome levels: no PCa, low grade (International Society of Urological Pathology grade, ISUP<3) and high grade PCa (ISUP≥3). RESULTS The nomogram identifying patients with: (a) high vs. those with low grade PCa and without the disease showed a good discriminating capability (∼80%), but the calibration showed a risk of underestimation for predictive probabilities >30% (a considerable critical threshold of risk), (b) ISUP<3 vs. those without the disease showed a discriminating capability of 63% and overestimates predictive probabilities >50%. In ISUP 5 a possible loss of PSA immunoreactivity has been observed. CONCLUSIONS The estimated risk of high or low grade PCa by the nomograms may be of aid in the decision-making process, in particular in the case of critical comorbidities and when the digital rectal examinations are inconclusive. The improved characterization of the risk of ISUP≥3 might enhance the use for magnetic resonance imaging in this setting.
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Affiliation(s)
- Simona Ferraro
- Center of Functional Genomics and Rare Diseases, Department of Pediatrics, Buzzi Children's Hospital, Milan, Italy
| | - Davide Biganzoli
- Medical Statistics Unit, Department of Biomedical and Clinical Sciences, "Luigi Sacco" University Hospital, Università degli Studi di Milano, Milan, Italy
| | - Roberta Simona Rossi
- Unità Operativa Anatomia Patologica, ASST Fatebenefratelli-Sacco, Ospedale 'Luigi Sacco', Milan, Italy
| | - Franco Palmisano
- Urologia, ASST Fatebenefratelli-Sacco, Ospedale 'Luigi Sacco', Milan, Italy
| | - Marco Bussetti
- Immunoematologia e Medicina trasfusionale Ospedale Castelli, Verbania, Italy
| | - Enrica Verzotti
- Urologia, ASST Fatebenefratelli-Sacco, Ospedale 'Luigi Sacco', Milan, Italy
| | - Andrea Gregori
- Urologia, ASST Fatebenefratelli-Sacco, Ospedale 'Luigi Sacco', Milan, Italy
| | - Filippo Bianchi
- Unità Operativa Anatomia Patologica, ASST Fatebenefratelli-Sacco, Ospedale Fatebenefratelli, Milan, Italy
| | - Marco Maggioni
- Unità Operativa Anatomia Patologica, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Ferruccio Ceriotti
- Laboratorio Analisi, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Cristina Cereda
- Center of Functional Genomics and Rare Diseases, Department of Pediatrics, Buzzi Children's Hospital, Milan, Italy
- Pediatric Department, Buzzi Children's Hospital, Milan, Italy
| | - Gianvincenzo Zuccotti
- Pediatric Department, Buzzi Children's Hospital, Milan, Italy
- Department of Biomedical and Clinical Science, University of Milan, Milan, Italy
| | - Peter Kavsak
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, ON, Canada
| | - Mario Plebani
- Department of Medicine-DIMED, University of Padova, Padova, Italy
| | - Giuseppe Marano
- Medical Statistics Unit, Department of Biomedical and Clinical Sciences, "Luigi Sacco" University Hospital, Università degli Studi di Milano, Milan, Italy
| | - Elia Mario Biganzoli
- Medical Statistics Unit, Department of Biomedical and Clinical Sciences, "Luigi Sacco" University Hospital, Università degli Studi di Milano, Milan, Italy
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13
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Cussenot O, Renard-Penna R, Montagne S, Ondet V, Pilon A, Guechot J, Comperat E, Hamdy F, Lamb A, Cancel-Tassin G. Clinical performance of magnetic resonance imaging and biomarkers for prostate cancer diagnosis in men at high genetic risk. BJU Int 2023; 131:745-754. [PMID: 36648168 DOI: 10.1111/bju.15968] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
OBJECTIVES To evaluate different scenarios for the management of early diagnosis of cancer (PCa) in men at high genetic risk, using recently developed blood and urinary molecular biomarkers in combination with clinical information alongside multiparametric magnetic resonance imaging (mpMRI). PATIENTS AND METHODS A total of 322 patients with a high genetic risk (familial or personal history of cancers or a predisposing germline variant) were included in this study. The primary outcome was the detection rates of PCa (positive biopsy) or clinically significant PCa (biopsy with International Society of Urological Pathology [ISUP] grade >1). Clinical parameters included age, body mass index, ancestry, and germline mutational status, mpMRI, prostate-specific antigen density (PSAD), Prostate Health Index and urinary markers (Prostate Cancer Associated 3, SelectMdx™ and T2:ERG score) were assessed. Sensitivity (Se) and specificity (Sp) for each marker at their recommended cut-off for clinical practice were calculated. Comparison between diagnoses accuracy of each procedure and scenario was computed using mutual information based and direct effect contribution using a supervised Bayesian network approach. RESULTS A mpMRI Prostate Imaging-Reporting and Data System (PI-RADS) score ≥3 showed higher Se than mpMRI PI-RADS score ≥4 for detection of PCa (82% vs 61%) and for the detection of ISUP grade >1 lesions (96% vs 80%). mpMRI PI-RADS score ≥3 performed better than a PSA level of ≥3 ng/mL (Se 96%, Sp 53% vs Se 91%, Sp 8%) for detection of clinically significant PCa. In case of negative mpMRI results, the supervised Bayesian network approach showed that urinary markers (with the same accuracy for all) and PSAD of ≥0.10 ng/mL/mL were the most useful indicators of decision to biopsy. CONCLUSIONS We found that screening men at high genetic risk of PCa must be based on mpMRI without pre-screening based on a PSA level of >3 ng/mL, to avoid missing too many ISUP grade >1 tumours and to significantly reduce the number of unnecessary biopsies. However, urinary markers or a PSAD of ≥0.10 ng/mL/mL when mpMRI was negative increased the detection of ISUP grade >1 cancers. We suggest that a baseline mpMRI be discussed for men at high genetic risk from the age of 40 years.
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Affiliation(s)
- Olivier Cussenot
- CeRePP, Paris, France
- GRC 5 Predictive Onco-Urology, Sorbonne University, AP-HP Sorbonne University, Paris, France
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
| | - Raphaele Renard-Penna
- CeRePP, Paris, France
- GRC 5 Predictive Onco-Urology, Sorbonne University, AP-HP Sorbonne University, Paris, France
| | - Sarah Montagne
- GRC 5 Predictive Onco-Urology, Sorbonne University, AP-HP Sorbonne University, Paris, France
| | - Valerie Ondet
- GRC 5 Predictive Onco-Urology, Sorbonne University, AP-HP Sorbonne University, Paris, France
| | - Antoine Pilon
- Department of Medical Biology and Pathology, AP-HP Sorbonne University, Paris, France
| | - Jerome Guechot
- Department of Medical Biology and Pathology, AP-HP Sorbonne University, Paris, France
| | - Eva Comperat
- CeRePP, Paris, France
- GRC 5 Predictive Onco-Urology, Sorbonne University, AP-HP Sorbonne University, Paris, France
- Department of Pathology, Medical University of Vienna, Vienna, Austria
| | - Freddie Hamdy
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
| | - Alastair Lamb
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
| | - Geraldine Cancel-Tassin
- CeRePP, Paris, France
- GRC 5 Predictive Onco-Urology, Sorbonne University, AP-HP Sorbonne University, Paris, France
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Guo Y, Su K, Lu M, Liu X. Incorporation of trans-rectal color doppler flow imaging and risk-stratification nomogram reduce unnecessary prostate biopsies in suspected prostate cancer patients: a bi-centered retrospective validation study. BMC Urol 2023; 23:81. [PMID: 37138271 PMCID: PMC10157911 DOI: 10.1186/s12894-023-01245-2] [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: 09/22/2022] [Accepted: 04/13/2023] [Indexed: 05/05/2023] Open
Abstract
BACKGROUND To explore the role of Trans-rectal Color Doppler Flow Imaging (TR-CDFI) and risk-stratification nomogram in a MRI-directed biopsy pathway and examine its clinical performance, via comparisons between existing four biopsy pathways. METHODS A Bi-centered retrospective cohort study on biopsy-naïve male population who received ultrasound-guided prostate biopsy from Jan. 2015 to Feb. 2022 was proposed. All enrolled patients should have undergone serum-PSA test, TR-CDFI and multiparametric MRI before biopsy, and subsequently opted for surgical intervention, enabling more accurate pathological grading. We then utilized univariate and multivariate logistic regression analysis to construct a predictive nomogram for risk-stratification. Outcome measurements were overall prostate cancer (PCA) detection rate, clinically significant PCA (csPCA) detection rate, clinically insignificant PCA (cisPCA) detection rate, biopsy avoidance rate and missed csPCA detection rate. Decision curve analysis was used to compare the performances between diagnostic pathways. RESULTS Under the criteria mentioned above, 752 patients from two centers were included. Reference pathway (biopsy for all) showed that overall PCA detection rate was 46.1%, csPCA and cisPCA detection rates were 32.3% and 13.8% respectively. Risk-based MRI-directed TR-CDFI pathway, which incorporated both TR-CDFI and risk stratification nomogram, exhibited PCA detection rate of 38.7%, csPCA detection rate of 28.7%, cisPCA detection rate of 7.0%, Biopsy avoidance rate of 42.4%, and missed csPCA detection rate of 3.6%. Decision curve analysis revealed that the risk-based pathway held the most net benefit, under the threshold probability level between 0.1 and 0.5. CONCLUSIONS The risk-based MRI-directed TR-CDFI pathway out-performed other strategies, balancing csPCA detection and biopsy avoidance. This suggested that incorporation of TR-CDFI and risk-stratification nomogram in the early PCA diagnostic procedures could reduce unnecessary biopsies.
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Affiliation(s)
- YiWei Guo
- Department of Urology, Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, 510630, Guangdong Province, China.
| | - KaiBin Su
- Department of Urology, Third Affiliated Hospital, Yuedong Hospital, Sun Yat-Sen University, New County Park North Road, Meizhou, Guangdong Province, China
| | - MinHua Lu
- Department of Urology, Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, 510630, Guangdong Province, China.
| | - XiaoPeng Liu
- Department of Urology, Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, 510630, Guangdong Province, China
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15
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Anazodo UC, Ng JJ, Ehiogu B, Obungoloch J, Fatade A, Mutsaerts HJMM, Secca MF, Diop M, Opadele A, Alexander DC, Dada MO, Ogbole G, Nunes R, Figueiredo P, Figini M, Aribisala B, Awojoyogbe BO, Aduluwa H, Sprenger C, Wagner R, Olakunle A, Romeo D, Sun Y, Fezeu F, Orunmuyi AT, Geethanath S, Gulani V, Nganga EC, Adeleke S, Ntobeuko N, Minja FJ, Webb AG, Asllani I, Dako F. A framework for advancing sustainable magnetic resonance imaging access in Africa. NMR IN BIOMEDICINE 2023; 36:e4846. [PMID: 36259628 DOI: 10.1002/nbm.4846] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 10/03/2022] [Accepted: 10/05/2022] [Indexed: 06/16/2023]
Abstract
Magnetic resonance imaging (MRI) technology has profoundly transformed current healthcare systems globally, owing to advances in hardware and software research innovations. Despite these advances, MRI remains largely inaccessible to clinicians, patients, and researchers in low-resource areas, such as Africa. The rapidly growing burden of noncommunicable diseases in Africa underscores the importance of improving access to MRI equipment as well as training and research opportunities on the continent. The Consortium for Advancement of MRI Education and Research in Africa (CAMERA) is a network of African biomedical imaging experts and global partners, implementing novel strategies to advance MRI access and research in Africa. Upon its inception in 2019, CAMERA sets out to identify challenges to MRI usage and provide a framework for addressing MRI needs in the region. To this end, CAMERA conducted a needs assessment survey (NAS) and a series of symposia at international MRI society meetings over a 2-year period. The 68-question NAS was distributed to MRI users in Africa and was completed by 157 clinicians and scientists from across Sub-Saharan Africa (SSA). On average, the number of MRI scanners per million people remained at less than one, of which 39% were obsolete low-field systems but still in use to meet daily clinical needs. The feasibility of coupling stable energy supplies from various sources has contributed to the growing number of higher-field (1.5 T) MRI scanners in the region. However, these systems are underutilized, with only 8% of facilities reporting clinical scans of 15 or more patients per day, per scanner. The most frequently reported MRI scans were neurological and musculoskeletal. The CAMERA NAS combined with the World Health Organization and International Atomic Energy Agency data provides the most up-to-date data on MRI density in Africa and offers a unique insight into Africa's MRI needs. Reported gaps in training, maintenance, and research capacity indicate ongoing challenges in providing sustainable high-value MRI access in SSA. Findings from the NAS and focused discussions at international MRI society meetings provided the basis for the framework presented here for advancing MRI capacity in SSA. While these findings pertain to SSA, the framework provides a model for advancing imaging needs in other low-resource settings.
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Affiliation(s)
- Udunna C Anazodo
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Jinggang J Ng
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Boaz Ehiogu
- Lawson Health Research Institute, London, Ontario, Canada
| | | | | | - Henk J M M Mutsaerts
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, The Netherlands
| | | | - Mamadou Diop
- Lawson Health Research Institute, London, Ontario, Canada
- Department of Medical Biophysics, Western University, London, Ontario, Canada
| | - Abayomi Opadele
- Molecular and Cellular Dynamics Research, Graduate School of Biomedical Science and Engineering, Hokkaido University, Hokkaido, Japan
| | | | - Michael O Dada
- Department of Physics, Federal University of Technology, Minna, Niger State, Nigeria
| | - Godwin Ogbole
- Department of Radiology, University College Hospital Ibadan, Ibadan, Nigeria
| | - Rita Nunes
- Department of Bioengineering, Instituto Superior, Técnico, Universidade de Lisboa, Lisbon, Portugal
| | - Patricia Figueiredo
- Department of Bioengineering, Instituto Superior, Técnico, Universidade de Lisboa, Lisbon, Portugal
| | - Matteo Figini
- Department of Computer Science, University College London, London, UK
| | | | - Bamidele O Awojoyogbe
- Department of Physics, Federal University of Technology, Minna, Niger State, Nigeria
| | | | - Christian Sprenger
- Department of Anesthesiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Rachel Wagner
- Mbarara University of Science and Technology, Mbarara, Uganda
- Department of Medical Biophysics, Western University, London, Ontario, Canada
| | | | - Dominic Romeo
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Yusha Sun
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Francis Fezeu
- Neurosurgery & Neurology, BRAIN Global, Salisbury, Maryland, USA
| | - Akintunde T Orunmuyi
- Department of Nuclear Medicine, University of Ibadan, Ibadan, Oyo State, Nigeria
| | - Sairam Geethanath
- Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, USA
| | - Vikas Gulani
- Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
| | | | - Sola Adeleke
- Department of Oncology, Guy's & St Thomas' Hospital, London, UK
| | - Ntusi Ntobeuko
- Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Frank J Minja
- Department of Radiology and Imaging Sciences, Emory University, Atlanta, Georgia, USA
| | - Andrew G Webb
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Iris Asllani
- Department of Neuroscience, University of Sussex, Brighton, UK
- Department of Biomedical Engineering, Rochester Institute of Technology, Rochester, New York, USA
| | - Farouk Dako
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- RAD-AID International, Chevy Chase, Maryland, USA
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16
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A comprehensive comparison between mpMRI of the prostate, MR-US fusion biopsy and whole mount histopathology. World J Urol 2023; 41:1055-1060. [PMID: 36840753 DOI: 10.1007/s00345-023-04339-6] [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: 09/17/2022] [Accepted: 02/10/2023] [Indexed: 02/26/2023] Open
Abstract
OBJECTIVES To compare multiparametric magnetic resonance imaging (mpMRI) findings, US-MR fusion prostate biopsy results and whole-mount thin-section histopathology after radical prostatectomy. PATIENTS AND METHODS Overall 259 patients, who had undergone mpMRI with lesions reported as PI-RADS 3-5, underwent a MR-US fusion biopsy between 2018 and 2020. Overall 186 biopsies yielded prostate cancer and 104 patients subsequently underwent endoscopic extraperitoneal radical prostatectomy. Histopathology of biopsies was compared to the final histopathology in whole mount thin sections after radical prostatectomy by means of descriptive statistics, and further, the lesions from mpMRT were compared to whole mount histology. RESULTS Prostate cancer was diagnosed in 186 (71.8%) of 259 patients (median age 69.2 y, range 42-82 y, median PSA 7.8 ng/ml, range 2.1-31.3 ng/ml). Of those, 95 (51,1%) underwent radical endoscopic prostatectomy, and 80 (43%) chose radiotherapy or active surveillance. In 52/95 (54,7%) with RPE additional lesions were found in the final histological whole mount sections not described at mpMRI. 22/95 (23,2%) of RPE patients had ≥ 1 additional Gleason score ≥ 7 lesions, 23 /259 (8,4%) of biopsies, respectively. The Gleason score after surgery was upgraded in 37/95 (38,9%) and downgraded in 18/95 (18,9%) patients. CONCLUSION If we compare all 259 performed biopsies with the final histological whole mount sections which showed additional lesions with Gleason ≥ 7 (23,2%), it can be assumed that up to 10% of clinical significant carcinomas are missed during primary assessment via mpMRI. The majority of additional findings after RP were intermediate/high risk tumors. Upgrades from low-risk to intermediate or high-risk occurred.
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17
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Bostancı C, Bozkurt U. The effect of povidone-iodine rectal cleansing on post-biopsy infectious complications. Scand J Urol 2023; 57:47-52. [PMID: 36453188 DOI: 10.1080/21681805.2022.2151644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
Abstract
OBJECTIVE To evaluate the effect of pre-biopsy povidone-iodine rectal cleansing on post-biopsy hospitalization rates due to prostate biopsy-related infectious complications. MATERIAL AND METHODS In this retrospective study, we reviewed 552 patients who underwent ultrasonography-guided transrectal prostate biopsy between 2014 and 2022. Group 1, 361 patients (January 2014-October 2020) were not applied povidone-iodine rectal cleansing, and group 2, 191 patients (November 2020-January 2022) were applied povidone-iodine rectal cleansing since we changed our biopsy protocol. All patients were given the same antibiotic prophylaxis, ciprofloxacin 500 mg, and ornidazole 500 mg twice daily starting 24 h before the biopsy and lasting a total of 5 days. Sodium phosphate enema was applied to all patients in the biopsy morning. The outcome was the hospitalization rates of patients because of infectious complications a month after the biopsy. RESULTS No patients were hospitalized in the povidone-iodine rectal cleansing group because of biopsy related complications. The hospitalization rate of group 1 was 3% and there was a statistical difference between groups. CONCLUSION The povidone-iodine solution is cheap, safe and easy to apply. The povidone-iodine rectal cleansing method seems to decrease infectious complications related to prostate biopsy procedure, but we need a randomized controlled trial to confirm our study. TRIAL REGISTRATION We got permission for this retrospective study from the Karabuk university ethics council with the number 2021/649 on 1 October 2021.
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Affiliation(s)
- Coşkun Bostancı
- Department of Urology, Karabuk University, Training and Research Hospital, Karabuk, Turkey
| | - Ufuk Bozkurt
- Department of Urology, Karabuk University, Training and Research Hospital, Karabuk, Turkey
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18
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Automated prostate multi-regional segmentation in magnetic resonance using fully convolutional neural networks. Eur Radiol 2023:10.1007/s00330-023-09410-9. [PMID: 36690774 DOI: 10.1007/s00330-023-09410-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 11/06/2022] [Accepted: 12/27/2022] [Indexed: 01/25/2023]
Abstract
OBJECTIVE Automatic MR imaging segmentation of the prostate provides relevant clinical benefits for prostate cancer evaluation such as calculation of automated PSA density and other critical imaging biomarkers. Further, automated T2-weighted image segmentation of central-transition zone (CZ-TZ), peripheral zone (PZ), and seminal vesicle (SV) can help to evaluate clinically significant cancer following the PI-RADS v2.1 guidelines. Therefore, the main objective of this work was to develop a robust and reproducible CNN-based automatic prostate multi-regional segmentation model using an intercontinental cohort of prostate MRI. METHODS A heterogeneous database of 243 T2-weighted prostate studies from 7 countries and 10 machines of 3 different vendors, with the CZ-TZ, PZ, and SV regions manually delineated by two experienced radiologists (ground truth), was used to train (n = 123) and test (n = 120) a U-Net-based model with deep supervision using a cyclical learning rate. The performance of the model was evaluated by means of dice similarity coefficient (DSC), among others. Segmentation results with a DSC above 0.7 were considered accurate. RESULTS The proposed method obtained a DSC of 0.88 ± 0.01, 0.85 ± 0.02, 0.72 ± 0.02, and 0.72 ± 0.02 for the prostate gland, CZ-TZ, PZ, and SV respectively in the 120 studies of the test set when comparing the predicted segmentations with the ground truth. No statistically significant differences were found in the results obtained between manufacturers or continents. CONCLUSION Prostate multi-regional T2-weighted MR images automatic segmentation can be accurately achieved by U-Net like CNN, generalizable in a highly variable clinical environment with different equipment, acquisition configurations, and population. KEY POINTS • Deep learning techniques allows the accurate segmentation of the prostate in three different regions on MR T2w images. • Multi-centric database proved the generalization of the CNN model on different institutions across different continents. • CNN models can be used to aid on the diagnosis and follow-up of patients with prostate cancer.
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Yuasa A, Yonemoto N, Kamei K, Murofushi T, LoPresti M, Taneja A, Horgan J, Ikeda S. Systematic Literature Review of the Use of Productivity Losses/Gains in Cost-Effectiveness Analyses of Immune-Mediated Disorders. Adv Ther 2022; 39:5327-5350. [PMID: 36205907 PMCID: PMC9540264 DOI: 10.1007/s12325-022-02321-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 09/09/2022] [Indexed: 01/30/2023]
Abstract
INTRODUCTION In light of the lack of an agreed international standard for how to conduct cost-effectiveness analyses (CEAs), including cost-utility analyses (CUAs) from a societal perspective, there is uncertainty regarding to what extent the inclusion of productivity losses/gains in economic evaluations can affect cost-effectiveness results and subsequently decisions on whether to recommend new health technologies. To investigate this, we conducted a systematic review of CEAs and CUAs of drug-based therapies for a set of chronic immune-mediated disorders to understand how cost elements and calculation methods related to productivity losses/gains are used, examine the impact on the incremental cost-effectiveness ratio (ICER) of including productivity costs, and explore factors that affect the inclusion of productivity loss. METHODS Databases (MEDLINE® In-process, MEDLINE, Embase and Cochrane Library) were searched from January 2010 to October 2020 by two independent reviewers for all CEAs and CUAs in adults with any of the following conditions: ankylosing spondylitis, chronic idiopathic urticaria, Crohn's disease, fibromyalgia, juvenile idiopathic arthritis, psoriasis, rheumatoid arthritis, systemic lupus erythematosus and ulcerative colitis. Relevant study data were extracted and evidence was synthesized for both qualitative and quantitative analysis. Productivity cost elements including absenteeism, presenteeism, unemployment/early retirement, premature mortality and informal care were extracted, along with the method used to determine them. A multivariate analysis was performed to identify factors associated with the inclusion of productivity loss. RESULTS Our searches identified 5016 records, culminating in 198 unique studies from 234 publications following screening. Most of the studies investigated rheumatoid arthritis (37.0%) or psoriasis (32.0%). The majority were CUAs, with some including both a CEA and a CUA (73.0%). Most studies used a payer perspective only (28.5%) or a societal perspective only (21.0%). Of the 49 studies incorporating productivity losses/gains, 42 reported the type of cost element used; all of these used patient absenteeism, either alone or in addition with other elements. Only 16 studies reported the method used to value productivity changes, of which eight used a human capital approach, four used a friction cost approach and four used both approaches. Twenty-eight of the 49 studies (57.1%) reported inclusion of productivity losses/gains as contributing to more favourable cost-effectiveness outcomes and ICERs, while 12 (24.5%) reported no substantial impact. On the basis of a multivariate analysis, rheumatoid arthritis as the target disease had a statistically significant association with the inclusion of productivity loss compared with psoriasis and inflammatory bowel disease. CONCLUSIONS The results of our review suggest that incorporating productivity cost elements may positively affect cost-effectiveness outcomes in evaluations of therapeutics for immune-mediated disorders. Our work highlights the continued need for clarity when reporting how CEAs and CUAs in this disease area are conducted, in order to better inform healthcare decision-making.
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Affiliation(s)
| | | | | | | | | | | | | | - Shunya Ikeda
- Department of Public Health, School of Medicine, International University of Health and Welfare, 4-3, Kozunomori, Narita, 286-8686, Japan.
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Zhang C, Feng M, Fang Q, Deng H, Zhang W, Wu X, Zhang B, Guan Y. Analysis of the application of contrast-enhanced ultrasound-guided prostate biopsy in early diagnosis of prostate cancer. Minerva Med 2022; 113:1032-1034. [PMID: 34142783 DOI: 10.23736/s0026-4806.21.07622-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Affiliation(s)
- Chundong Zhang
- Department of Ultrasound, Hebei Provincial Hospital of Traditional Chinese Medicine, Shijiazhuang, China
| | - Meicong Feng
- Department of Ultrasound, Staff hospital of the 54th Research Institute of CETC, Shijiazhuang, China
| | - Qinmao Fang
- Department of Ultrasound, The Third Hospital of Hebei Medical University, Shijiazhuang, China
| | - Heping Deng
- Department of Ultrasound, The Third Hospital of Hebei Medical University, Shijiazhuang, China
| | - Weiwei Zhang
- Department of Ultrasound, The Third Hospital of Hebei Medical University, Shijiazhuang, China
| | - Xia Wu
- Department of Geriatrics, The Third Hospital of Hebei Medical University, Shijiazhuang, China
| | - Bo Zhang
- Department of Geriatrics, The Third Hospital of Hebei Medical University, Shijiazhuang, China
| | - Yiman Guan
- Department of Ultrasound, The Third Hospital of Hebei Medical University, Shijiazhuang, China -
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Mohsen N. Role of MRI, Ultrasound, and Computed Tomography in the Management of Prostate Cancer. PET Clin 2022; 17:565-583. [DOI: 10.1016/j.cpet.2022.07.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Doykov M, Chervenkov L, Tsvetkova-Trichkova S, Doykova K, Georgiev A. Assessment of the Utility of Multiparametric Magnetic Resonance Imaging for Initial Detection of Prostate Cancer. Open Access Maced J Med Sci 2022. [DOI: 10.3889/oamjms.2022.10401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND: An accurate diagnosis is essential for the effective treatment of prostate cancer (PCa) and for the patients’ well-being.
AIM: Thе main purpose of this study was to assess the utility of multiparametric magnetic resonance imaging (mp-MRI) for initial detection of PCa among the Bulgarian population of men with prostate diseases.
MATERIALS AND METHODS: Fifty-three patients, aged 44 to 82 years, were evaluated for clinically significant PCa. Assessment methods included prostate-specific antigen (PSA) serum levels, transrectal ultrasonography (TRUS), GE Discovery 3T MRI, and 12-core TRUS biopsy.
RESULTS: mp-MRI showed 83.20% concordance with TRUS biopsy: sensitivity of 91.43% (76.90–98.20), specificity of 75.00% (34.90–96.80), positive predictive values 94.10% (82.80–98.20) and negative predictive values 66.70% (38.70–86.40). Of the patients classified in prostate imaging–reporting and data system (PI-RADS) levels 4 and 5, 94.12% had positive TRUS biopsy, as well as 44.40% of PI-RADS had level 3. Irrespective of the patients’ age and PSA, PI-RADS was found to be a significant predictor of a positive TRUS biopsy (p = 0.009). PSA serum levels showed a low concordance with TRUS biopsy (area under the curve = 0.539; 95% confidence interval [CI]: 0.363–0.712) and a low, although significant, correlation with PI-RADS (rs = 0.416; 95% CI: 0.164–0.617).
CONCLUSION: According to our findings, mp-MRI and TRUS biopsy have a high level of concordance for the initial detection of PCa. The incorporation of mp-MRI into the diagnostic pathway for PCa can significantly reduce the number of incorrect diagnoses based on PSA serum levels and/or suspicious physical and digital examinations.
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Kubihal V, Kundra V, Lanka V, Sharma S, Das P, Nayyar R, Das CJ. Prospective evaluation of PI-RADS v2 and quantitative MRI for clinically significant prostate cancer detection in Indian men – East meets West. Arab J Urol 2022; 20:126-136. [PMID: 35935908 PMCID: PMC9354636 DOI: 10.1080/2090598x.2022.2072141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022] Open
Affiliation(s)
- Vijay Kubihal
- Department of Radiodiagnosis and Interventional Radiology, Urology All India Institute of Medical Sciences, New Delhi, India
| | - Vikas Kundra
- Department of diagnostic radiology, MD Anderson Cancer Center, Houston, Texas, USA
| | - Vivek Lanka
- Department of Radiodiagnosis and Interventional Radiology, Urology All India Institute of Medical Sciences, New Delhi, India
| | - Sanjay Sharma
- Department of Radiodiagnosis and Interventional Radiology, Urology All India Institute of Medical Sciences, New Delhi, India
| | - Prasenjit Das
- Department of Radiodiagnosis and Interventional Radiology, Urology All India Institute of Medical Sciences, New Delhi, India
| | - Rishi Nayyar
- Department of Radiodiagnosis and Interventional Radiology, Urology All India Institute of Medical Sciences, New Delhi, India
| | - Chandan J Das
- Department of Radiodiagnosis and Interventional Radiology, Urology All India Institute of Medical Sciences, New Delhi, India
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Haider MA, Brown J, Chin JL, Perlis N, Schieda N, Loblaw A. Evidence-based guideline recommendations on multiparametric magnetic resonance imaging in the diagnosis of clinically significant prostate cancer: A Cancer Care Ontario updated clinical practice guideline. Can Urol Assoc J 2022; 16:16-23. [PMID: 35133265 PMCID: PMC8932419 DOI: 10.5489/cuaj.7425] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2023]
Abstract
INTRODUCTION This clinical practice guideline is based on a systematic review to assess the use of multiparametric magnetic resonance imaging (mpMRI) in the diagnosis of clinically significant prostate cancer (csPCa) for biopsy-naive men and men with a prior negative transrectal ultrasound-guided systematic biopsy (TRUS-SB) at elevated risk. METHODS The methods of the clinical practice guideline included searches to September of 2020 of MEDLINE, EMBASE, and the Cochrane Central Register of Controlled Trials. Internal and external reviews were conducted. RESULTS The recommendations are:Recommendation 1: For biopsy-naive patients at elevated risk of csPCa, mpMRI is recommended prior to biopsy in patients who are candidates for curative management with suspected clinically localized prostate cancer.- If the mpMRI is positive, mpMRI-targeted biopsy (TB) and TRUS-SB should be performed together to maximize detection of csPCa.- If the mpMRI is negative, consider forgoing any biopsy after discussion of the risks and benefits with the patient as part of shared decision-making and ongoing followup.Recommendation 2: In patients who had a prior negative TRUS-SB and demonstrate a high risk of having csPCa in whom curative management is being considered:- mpMRI should be performed.- If the mpMRI is positive, targeted biopsy should be performed. Concomitant TRUS-SB can be considered depending on the patient's risk profile and time since prior TRUS-SB biopsy.- If the mpMRI is negative, consider forgoing a TRUS-SB only after discussion of the risks and benefits with the patient as part of shared decision-making and ongoing followup.Recommendation 3: mpMRI should be performed and interpreted in compliance with the current Prostate Imaging Reporting & Data System (PI-RADS) guidelines.
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Affiliation(s)
- Masoom A. Haider
- Sinai Health System and University of Toronto, Joint Department of Medical Imaging, Toronto, ON, Canada
| | - Judy Brown
- Program in Evidence-based Care, Ontario Health (Cancer Care Ontario), McMaster University, Hamilton ON, Canada
| | - Jospeh L.K. Chin
- London Health Sciences Centre, Victoria Hospital, London, ON, Canada
| | - Nauthan Perlis
- Cancer Clinical Research Unit, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Nicola Schieda
- Department of Radiology, University of Ottawa, Ottawa, ON, Canada
| | - Andrew Loblaw
- Sunnybrook Health Sciences Centre, Toronto, ON, Canada
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Parker P, Twiddy M, Whybrow P, Rigby A, Simms M. The role of diagnostic ultrasound imaging for patients with known prostate cancer within an active surveillance pathway: A systematic review. ULTRASOUND (LEEDS, ENGLAND) 2022; 30:4-17. [PMID: 35173774 PMCID: PMC8841943 DOI: 10.1177/1742271x21995212] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Accepted: 01/18/2021] [Indexed: 02/03/2023]
Abstract
BACKGROUND The use of multiparametric magnetic resonance imaging (mpMRI) within active surveillance of prostate cancer programmes is identified by the UK National Institute for Health and Care Excellence (NICE guideline NG 131 2019) as having a role for monitoring disease. The widespread demands on mpMRI capacity may limit its use in surveillance. It is therefore timely to review the options that modern ultrasound imaging present to this cohort of patients in the monitoring of prostate cancer. METHODS Between April and September 2020, 10 databases were searched to recruit studies for the review. Three reviewers evaluated the publications for inclusion. Characteristics including the inclusion criteria for the study cohort, how disease was determined, identification of disease progression, and the modality and mode of imaging used were reviewed. Given the paucity of full text articles, a meta-analysis was not possible. A narrative review was undertaken. RESULTS In total, 12 studies, utilising the range of ultrasound parameters of B-mode, micro-ultrasound, colour Doppler, contrast ultrasound and elastography were included. The review demonstrated that micro-ultrasound offers promise as an imaging tool comparable with mpMRI. However, this is an emerging technology with limited availability. Analysis of the data further demonstrated that by combining the diagnostic features provided by multiple modes reviewed, ultrasound has a role in the diagnostic imaging of patients on active surveillance. CONCLUSION Providing a multiparametric approach is utilised, stable ultrasound findings may allow for increased intervals between biopsy for men on surveillance. The advent of micro-US offers promise as an imaging modality within an active surveillance pathway but requires further verification.
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Affiliation(s)
- Pamela Parker
- Department of Ultrasound, University of Hull & Hull University Teaching Hospitals NHS Trust, Hull, UK,Pamela Parker, Hull and East Yorkshire Hospitals NHS Trust, Hull Royal Infirmary, Anlaby Road, Hull HU3 2JZ, UK.
| | - Maureen Twiddy
- Institute of Clinical and Applied Health Research, Hull York Medical School, Hull, UK
| | - Paul Whybrow
- Institute of Clinical and Applied Health Research, Hull York Medical School, Hull, UK
| | - Alan Rigby
- Institute of Clinical and Applied Health Research, Hull York Medical School, Hull, UK
| | - Matthew Simms
- Department of Urology, Hull University Teaching Hospitals NHS Trust, Hull, UK
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Rezapour A, Alipour V, Moradi N, Arabloo J. Cost-Effectiveness of Multiparametric Magnetic Resonance Imaging and Targeted Biopsy Versus Systematic Transrectal Ultrasound-Guided Biopsy for Prostate Cancer Diagnosis: A Systematic Review. Value Health Reg Issues 2022; 30:31-38. [PMID: 35042021 DOI: 10.1016/j.vhri.2021.10.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 09/20/2021] [Accepted: 10/11/2021] [Indexed: 11/19/2022]
Abstract
OBJECTIVES This study aimed to systematically review the cost-effectiveness studies of multiparametric magnetic resonance imaging (mpMRI)-guided biopsy (MRGB) compared with systematic transrectal ultrasonography (TRUS)-guided biopsy for diagnosing prostate cancer (PCa). METHODS PubMed, Web of Science core collection, Embase and Scopus, and reference lists of the included studies were searched with no date and language restrictions through January 2020 for full economic evaluation studies (cost-effectiveness, cost-utility analysis, cost-benefit analysis) that assessed mpMRI and MRGB compared with systematic TRUS-guided biopsy or other sequential biopsy strategies in men undergoing initial prostate biopsy or men with previous negative prostate biopsy, with clinical suspicion of PCa based on abnormal prostate-specific antigen or digital rectal examination increase or both. Data were tabulated and analyzed using narrative synthesis. The reporting quality of included studies was assessed using the Consolidated Health Economic Evaluation Reporting Standards checklist. This systematic review was performed in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement. RESULTS Finally, 9 studies were included. All studies were conducted in high-income countries. All studies found that mpMRI and MRGB was cost-effective in the initial and before repeat biopsy in men with previous negative biopsy. The cognitive-targeted TRUS-guided biopsy was cost-effective in the initial biopsy (dominant or cost-effective at willingness-to-pay threshold of the countries); it was not evaluated for repeat biopsy in men. The direct in-bore magnetic resonance imaging (MRI)-guided biopsy was cost-effective for the initial biopsy (€323 per quality-adjusted life-year gained). The superiority of one of the targeted biopsy approaches (fusion, cognitive, or in-bore) over other approaches has not yet been established. CONCLUSIONS This study showed that pre-TRUS-guided biopsy MRI is more cost-effective than TRUS-guided biopsy alone. Furthermore, the use of MRI-ultrasound fusion targeted biopsy in the diagnosis of PCa in the initial biopsy and repeat biopsy and cognitive-targeted TRUS-guided biopsy in the initial biopsy is cost-effective.
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Affiliation(s)
- Aziz Rezapour
- Health Management and Economics Research Center, Health Management Research Institute, Iran University of Medical Sciences, Tehran, Iran
| | - Vahid Alipour
- Health Management and Economics Research Center, Health Management Research Institute, Iran University of Medical Sciences, Tehran, Iran
| | - Najmeh Moradi
- Health Management and Economics Research Center, Health Management Research Institute, Iran University of Medical Sciences, Tehran, Iran
| | - Jalal Arabloo
- Health Management and Economics Research Center, Health Management Research Institute, Iran University of Medical Sciences, Tehran, Iran.
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Keeney E, Thom H, Turner E, Martin RM, Morley J, Sanghera S. Systematic Review of Cost-Effectiveness Models in Prostate Cancer: Exploring New Developments in Testing and Diagnosis. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2022; 25:133-146. [PMID: 35031092 PMCID: PMC8752463 DOI: 10.1016/j.jval.2021.07.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 07/08/2021] [Accepted: 07/09/2021] [Indexed: 06/12/2023]
Abstract
OBJECTIVES Recent innovations in prostate cancer diagnosis include new biomarkers and more accurate biopsy methods. This study assesses the evidence base on cost-effectiveness of these developments (eg, Prostate Health Index and magnetic resonance imaging [MRI]-guided biopsy) and identifies areas of improvement for future cost-effectiveness models. METHODS A systematic review using the National Health Service Economic Evaluation Database, MEDLINE, Embase, Health Technology Assessment databases, National Institute for Health and Care Excellence guidelines, and United Kingdom National Screening Committee guidance was performed, between 2009 and 2021. Relevant data were extracted on study type, model inputs, modeling methods and cost-effectiveness conclusions, and results narratively synthesized. RESULTS A total of 22 model-based economic evaluations were included. A total of 11 compared the cost-effectiveness of new biomarkers to prostate-specific antigen testing alone and all found biomarkers to be cost saving. A total of 8 compared MRI-guided biopsy methods to transrectal ultrasound-guided methods and found MRI-guided methods to be most cost-effective. Newer detection methods showed a reduction in unnecessary biopsies and overtreatment. The most cost-effective follow-up strategy in men with a negative initial biopsy was uncertain. Many studies did not model for stage or grade of cancer, cancer progression, or the entire testing and treatment pathway. Few fully accounted for uncertainty. CONCLUSIONS This review brings together the cost-effectiveness literature for novel diagnostic methods in prostate cancer, showing that most studies have found new methods to be more cost-effective than standard of care. Several limitations of the models were identified, however, limiting the reliability of the results. Areas for further development include accurately modeling the impact of early diagnostic tests on long-term outcomes of prostate cancer and fully accounting for uncertainty.
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Affiliation(s)
- Edna Keeney
- Health Economics Bristol, Bristol Medical School, University of Bristol, Bristol, England, UK.
| | - Howard Thom
- Health Economics Bristol, Bristol Medical School, University of Bristol, Bristol, England, UK
| | - Emma Turner
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, England, UK
| | - Richard M Martin
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, England, UK; MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, England, UK
| | - Josie Morley
- Health Economics Bristol, Bristol Medical School, University of Bristol, Bristol, England, UK
| | - Sabina Sanghera
- Health Economics Bristol, Bristol Medical School, University of Bristol, Bristol, England, UK
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Johnson PM, Tong A, Donthireddy A, Melamud K, Petrocelli R, Smereka P, Qian K, Keerthivasan MB, Chandarana H, Knoll F. Deep Learning Reconstruction Enables Highly Accelerated Biparametric MR Imaging of the Prostate. J Magn Reson Imaging 2021; 56:184-195. [PMID: 34877735 DOI: 10.1002/jmri.28024] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 11/29/2021] [Accepted: 11/29/2021] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Early diagnosis and treatment of prostate cancer (PCa) can be curative; however, prostate-specific antigen is a suboptimal screening test for clinically significant PCa. While prostate magnetic resonance imaging (MRI) has demonstrated value for the diagnosis of PCa, the acquisition time is too long for a first-line screening modality. PURPOSE To accelerate prostate MRI exams, utilizing a variational network (VN) for image reconstruction. STUDY TYPE Retrospective. SUBJECTS One hundred and thirteen subjects (train/val/test: 70/13/30) undergoing prostate MRI. FIELD STRENGTH/SEQUENCE 3.0 T; a T2 turbo spin echo (TSE) T2-weighted image (T2WI) sequence in axial and coronal planes, and axial echo-planar diffusion-weighted imaging (DWI). ASSESSMENT Four abdominal radiologists evaluated the image quality of VN reconstructions of retrospectively under-sampled biparametric MRIs (bp-MRI), and standard bp-MRI reconstructions for 20 test subjects (studies). The studies included axial and coronal T2WI, DWI B50 seconds/mm2 and B1000 seconds/mm (4-fold T2WI, 3-fold DWI), all of which were evaluated separately for image quality on a Likert scale (1: non-diagnostic to 5: excellent quality). In another 10 test subjects, three readers graded lesions on bp-MRI-which additionally included calculated B1500 seconds/mm2 , and apparent diffusion coefficient map-according to the Prostate Imaging Reporting and Data System (PI-RADS v2.1), for both VN and standard reconstructions. Accuracy of PI-RADS ≥3 for clinically significant cancer was computed. Projected scan time of the retrospectively under-sampled biparametric exam was also computed. STATISTICAL TESTS One-sided Wilcoxon signed-rank test was used for comparison of image quality. Sensitivity, specificity, positive predictive value, and negative predictive value were calculated for lesion detection and grading. Generalized estimating equation with cluster effect was used to compare differences between standard and VN bp-MRI. A P-value of <0.05 was considered statistically significant. RESULTS Three of four readers rated no significant difference for overall quality between the standard and VN axial T2WI (Reader 1: 4.00 ± 0.56 (Standard), 3.90 ± 0.64 (VN) P = 0.33; Reader 2: 4.35 ± 0.74 (Standard), 3.80 ± 0.89 (VN) P = 0.003; Reader 3: 4.60 ± 0.50 (Standard), 4.55 ± 0.60 (VN) P = 0.39; Reader 4: 3.65 ± 0.99 (Standard), 3.60 ± 1.00 (VN) P = 0.38). All four readers rated no significant difference for overall quality between standard and VN DWI B1000 seconds/mm2 (Reader 1: 2.25 ± 0.62 (Standard), 2.45 ± 0.75 (VN) P = 0.96; Reader 2: 3.60 ± 0.92 (Standard), 3.55 ± 0.82 (VN) P = 0.40; Reader 3: 3.85 ± 0.72 (Standard), 3.55 ± 0.89 (VN) P = 0.07; Reader 4: 4.70 ± 0.76 (Standard); 4.60 ± 0.73 (VN) P = 0.17) and three of four readers rated no significant difference for overall quality between standard and VN DWI B50 seconds/mm2 (Reader 1: 3.20 ± 0.70 (Standard), 3.40 ± 0.75 (VN) P = 0.98; Reader 2: 2.85 ± 0.81 (Standard), 3.00 ± 0.79 (VN) P = 0.93; Reader 3: 4.45 ± 0.72 (Standard), 4.05 ± 0.69 (VN) P = 0.02; Reader 4: 4.50 ± 0.69 (Standard), 4.45 ± 0.76 (VN) P = 0.50). In the lesion evaluation study, there was no significant difference in the number of PI-RADS ≥3 lesions identified on standard vs. VN bp-MRI (P = 0.92, 0.59, 0.87) with similar sensitivity and specificity for clinically significant cancer. The average scan time of the standard clinical biparametric exam was 11.8 minutes, and this was projected to be 3.2 minutes for the accelerated exam. DATA CONCLUSION Diagnostic accelerated biparametric prostate MRI exams can be performed using deep learning methods in <4 minutes, potentially enabling rapid screening prostate MRI. LEVEL OF EVIDENCE 3 TECHNICAL EFFICACY: Stage 5.
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Affiliation(s)
- Patricia M Johnson
- Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, New York, USA
| | - Angela Tong
- Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, New York, USA
| | - Awani Donthireddy
- Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, New York, USA
| | - Kira Melamud
- Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, New York, USA
| | - Robert Petrocelli
- Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, New York, USA
| | - Paul Smereka
- Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, New York, USA
| | - Kun Qian
- Division of Biostatistics, Department of Population Health, New York University School of Medicine, New York, New York, USA
| | | | - Hersh Chandarana
- Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, New York, USA
| | - Florian Knoll
- Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, New York, USA
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Barra D, Nicoletti G, Defeudis A, Mazzetti S, Panic J, Gatti M, Faletti R, Russo F, Regge D, Giannini V. Deep learning model for automatic prostate segmentation on bicentric T2w images with and without endorectal coil. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2021; 2021:3370-3373. [PMID: 34891962 DOI: 10.1109/embc46164.2021.9630792] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Automatic segmentation of the prostate on Magnetic Resonance Imaging (MRI) is one of the topics on which research has focused in recent years as it is a fundamental first step in the building process of a Computer aided diagnosis (CAD) system for cancer detection. Unfortunately, MRI acquired in different centers with different scanners leads to images with different characteristics. In this work, we propose an automatic algorithm for prostate segmentation, based on a U-Net applying transfer learning method in a bi-center setting. First, T2w images with and without endorectal coil from 80 patients acquired at Center A were used as training set and internal validation set. Then, T2w images without endorectal coil from 20 patients acquired at Center B were used as external validation. The reference standard for this study was manual segmentation of the prostate gland performed by an expert operator. The results showed a Dice similarity coefficient >85% in both internal and external validation datasets.Clinical Relevance- This segmentation algorithm could be integrated into a CAD system to optimize computational effort in prostate cancer detection.
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Bancroft EK, Page EC, Brook MN, Thomas S, Taylor N, Pope J, McHugh J, Jones AB, Karlsson Q, Merson S, Ong KR, Hoffman J, Huber C, Maehle L, Grindedal EM, Stormorken A, Evans DG, Rothwell J, Lalloo F, Brady AF, Bartlett M, Snape K, Hanson H, James P, McKinley J, Mascarenhas L, Syngal S, Ukaegbu C, Side L, Thomas T, Barwell J, Teixeira MR, Izatt L, Suri M, Macrae FA, Poplawski N, Chen-Shtoyerman R, Ahmed M, Musgrave H, Nicolai N, Greenhalgh L, Brewer C, Pachter N, Spigelman AD, Azzabi A, Helfand BT, Halliday D, Buys S, Ramon Y Cajal T, Donaldson A, Cooney KA, Harris M, McGrath J, Davidson R, Taylor A, Cooke P, Myhill K, Hogben M, Aaronson NK, Ardern-Jones A, Bangma CH, Castro E, Dearnaley D, Dias A, Dudderidge T, Eccles DM, Green K, Eyfjord J, Falconer A, Foster CS, Gronberg H, Hamdy FC, Johannsson O, Khoo V, Lilja H, Lindeman GJ, Lubinski J, Axcrona K, Mikropoulos C, Mitra AV, Moynihan C, Ni Raghallaigh H, Rennert G, Collier R, Offman J, Kote-Jarai Z, Eeles RA. A prospective prostate cancer screening programme for men with pathogenic variants in mismatch repair genes (IMPACT): initial results from an international prospective study. Lancet Oncol 2021; 22:1618-1631. [PMID: 34678156 PMCID: PMC8576477 DOI: 10.1016/s1470-2045(21)00522-2] [Citation(s) in RCA: 56] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 08/19/2021] [Accepted: 08/27/2021] [Indexed: 12/25/2022]
Abstract
BACKGROUND Lynch syndrome is a rare familial cancer syndrome caused by pathogenic variants in the mismatch repair genes MLH1, MSH2, MSH6, or PMS2, that cause predisposition to various cancers, predominantly colorectal and endometrial cancer. Data are emerging that pathogenic variants in mismatch repair genes increase the risk of early-onset aggressive prostate cancer. The IMPACT study is prospectively assessing prostate-specific antigen (PSA) screening in men with germline mismatch repair pathogenic variants. Here, we report the usefulness of PSA screening, prostate cancer incidence, and tumour characteristics after the first screening round in men with and without these germline pathogenic variants. METHODS The IMPACT study is an international, prospective study. Men aged 40-69 years without a previous prostate cancer diagnosis and with a known germline pathogenic variant in the MLH1, MSH2, or MSH6 gene, and age-matched male controls who tested negative for a familial pathogenic variant in these genes were recruited from 34 genetic and urology clinics in eight countries, and underwent a baseline PSA screening. Men who had a PSA level higher than 3·0 ng/mL were offered a transrectal, ultrasound-guided, prostate biopsy and a histopathological analysis was done. All participants are undergoing a minimum of 5 years' annual screening. The primary endpoint was to determine the incidence, stage, and pathology of screening-detected prostate cancer in carriers of pathogenic variants compared with non-carrier controls. We used Fisher's exact test to compare the number of cases, cancer incidence, and positive predictive values of the PSA cutoff and biopsy between carriers and non-carriers and the differences between disease types (ie, cancer vs no cancer, clinically significant cancer vs no cancer). We assessed screening outcomes and tumour characteristics by pathogenic variant status. Here we present results from the first round of PSA screening in the IMPACT study. This study is registered with ClinicalTrials.gov, NCT00261456, and is now closed to accrual. FINDINGS Between Sept 28, 2012, and March 1, 2020, 828 men were recruited (644 carriers of mismatch repair pathogenic variants [204 carriers of MLH1, 305 carriers of MSH2, and 135 carriers of MSH6] and 184 non-carrier controls [65 non-carriers of MLH1, 76 non-carriers of MSH2, and 43 non-carriers of MSH6]), and in order to boost the sample size for the non-carrier control groups, we randomly selected 134 non-carriers from the BRCA1 and BRCA2 cohort of the IMPACT study, who were included in all three non-carrier cohorts. Men were predominantly of European ancestry (899 [93%] of 953 with available data), with a mean age of 52·8 years (SD 8·3). Within the first screening round, 56 (6%) men had a PSA concentration of more than 3·0 ng/mL and 35 (4%) biopsies were done. The overall incidence of prostate cancer was 1·9% (18 of 962; 95% CI 1·1-2·9). The incidence among MSH2 carriers was 4·3% (13 of 305; 95% CI 2·3-7·2), MSH2 non-carrier controls was 0·5% (one of 210; 0·0-2·6), MSH6 carriers was 3·0% (four of 135; 0·8-7·4), and none were detected among the MLH1 carriers, MLH1 non-carrier controls, and MSH6 non-carrier controls. Prostate cancer incidence, using a PSA threshold of higher than 3·0 ng/mL, was higher in MSH2 carriers than in MSH2 non-carrier controls (4·3% vs 0·5%; p=0·011) and MSH6 carriers than MSH6 non-carrier controls (3·0% vs 0%; p=0·034). The overall positive predictive value of biopsy using a PSA threshold of 3·0 ng/mL was 51·4% (95% CI 34·0-68·6), and the overall positive predictive value of a PSA threshold of 3·0 ng/mL was 32·1% (20·3-46·0). INTERPRETATION After the first screening round, carriers of MSH2 and MSH6 pathogenic variants had a higher incidence of prostate cancer compared with age-matched non-carrier controls. These findings support the use of targeted PSA screening in these men to identify those with clinically significant prostate cancer. Further annual screening rounds will need to confirm these findings. FUNDING Cancer Research UK, The Ronald and Rita McAulay Foundation, the National Institute for Health Research support to Biomedical Research Centres (The Institute of Cancer Research and Royal Marsden NHS Foundation Trust; Oxford; Manchester and the Cambridge Clinical Research Centre), Mr and Mrs Jack Baker, the Cancer Council of Tasmania, Cancer Australia, Prostate Cancer Foundation of Australia, Cancer Council of Victoria, Cancer Council of South Australia, the Victorian Cancer Agency, Cancer Australia, Prostate Cancer Foundation of Australia, Asociación Española Contra el Cáncer (AECC), the Instituto de Salud Carlos III, Fondo Europeo de Desarrollo Regional (FEDER), the Institut Català de la Salut, Autonomous Government of Catalonia, Fundação para a Ciência e a Tecnologia, National Institutes of Health National Cancer Institute, Swedish Cancer Society, General Hospital in Malmö Foundation for Combating Cancer.
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Affiliation(s)
- Elizabeth K Bancroft
- Oncogenetics Team, Institute of Cancer Research, London, UK; Cancer Genetics Unit & Academic Urology Unit, Royal Marsden NHS Foundation Trust, London, UK
| | | | - Mark N Brook
- Oncogenetics Team, Institute of Cancer Research, London, UK
| | - Sarah Thomas
- Cancer Genetics Unit & Academic Urology Unit, Royal Marsden NHS Foundation Trust, London, UK
| | - Natalie Taylor
- Cancer Genetics Unit & Academic Urology Unit, Royal Marsden NHS Foundation Trust, London, UK
| | - Jennifer Pope
- Oncogenetics Team, Institute of Cancer Research, London, UK
| | - Jana McHugh
- Oncogenetics Team, Institute of Cancer Research, London, UK
| | | | | | - Susan Merson
- Oncogenetics Team, Institute of Cancer Research, London, UK
| | - Kai Ren Ong
- Clinical Genetics Unit, Birmingham Women's Hospital, Birmingham, UK
| | - Jonathan Hoffman
- Clinical Genetics Unit, Birmingham Women's Hospital, Birmingham, UK
| | - Camilla Huber
- Clinical Genetics Unit, Birmingham Women's Hospital, Birmingham, UK
| | - Lovise Maehle
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | | | - Astrid Stormorken
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - D Gareth Evans
- Genomic Medicine, Division of Evolution and Genomic Sciences, University of Manchester, Manchester Academic Health Sciences Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - Jeanette Rothwell
- Genomic Medicine, Division of Evolution and Genomic Sciences, University of Manchester, Manchester Academic Health Sciences Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - Fiona Lalloo
- Genomic Medicine, Division of Evolution and Genomic Sciences, University of Manchester, Manchester Academic Health Sciences Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - Angela F Brady
- North West Thames Regional Genetics Service, London North West University Healthcare NHS Trust, Harrow, UK
| | - Marion Bartlett
- North West Thames Regional Genetics Service, London North West University Healthcare NHS Trust, Harrow, UK
| | | | | | - Paul James
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia; The Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC, Australia; Department of Medicine, The University of Melbourne, Parkville, VIC, Australia
| | - Joanne McKinley
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Lyon Mascarenhas
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Sapna Syngal
- Division of Population Sciences, Dana Farber Cancer Institute, Boston, MA, USA; Brigham and Women's Hospital, Boston, MA, USA
| | - Chinedu Ukaegbu
- Division of Population Sciences, Dana Farber Cancer Institute, Boston, MA, USA
| | - Lucy Side
- University Hospital Southampton, Southampton, UK; Wessex Clinical Genetics Service, Princess Anne Hospital, Southampton, UK
| | - Tessy Thomas
- University Hospital Southampton, Southampton, UK; Wessex Clinical Genetics Service, Princess Anne Hospital, Southampton, UK
| | - Julian Barwell
- Department of Genetics, University of Leicester, Leicester, UK; University Hospitals Leicester, Leicester, UK
| | - Manuel R Teixeira
- Genetics Department and Research Center, Portuguese Oncology Institute (IPO Porto), Porto, Portugal; Biomedical Sciences Institute (ICBAS), Porto University, Porto, Portugal
| | - Louise Izatt
- Clinical Genetics Service, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Mohnish Suri
- Clinical Genetics Service, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Finlay A Macrae
- Department of Medicine, The University of Melbourne, Parkville, VIC, Australia; Parkville Familial Cancer Centre, The Royal Melbourne Hospital, Parkville, VIC, Australia; Colorectal Medicine and Genetics, The Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Nicola Poplawski
- Adult Genetics Unit, Royal Adelaide Hospital, Adelaide, SA, Australia; Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia
| | - Rakefet Chen-Shtoyerman
- The Genetic Institute, Kaplan Medical Center, Rehovot, Israel; Biology Department, Ariel University, Ariel, Israel
| | - Munaza Ahmed
- North East Thames Regional Genetics Service, Institute of Child Health, London, UK
| | - Hannah Musgrave
- Yorkshire Regional Genetics Service, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Nicola Nicolai
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
| | - Lynn Greenhalgh
- Clinical Genetics Service, Liverpool Women's Hospital, Liverpool, UK
| | - Carole Brewer
- Peninsular Genetics, Derriford Hospital, Plymouth, UK; Royal Devon and Exeter Hospital, Exeter, UK
| | - Nicholas Pachter
- Genetic Services of Western Australia, King Edward Memorial Hospital, Subiaco, WA, Australia; Department of Paediatrics, University of Western Australia, Perth, WA, Australia
| | - Allan D Spigelman
- Hunter Family Cancer Service, Waratah, NSW, Australia; University of New South Wales, St Vincent's Clinical School, NSW, Australia; Cancer Genetics Clinic, The Kinghorn Cancer Centre, St Vincent's Hospital, Sydney, NSW, Australia
| | - Ashraf Azzabi
- Northern Genetics Service, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Brian T Helfand
- John and Carol Walter Center for Urological Health, Division of Urology, NorthShore University HealthSystem, Evanston, IL, USA
| | - Dorothy Halliday
- Oxford Centre for Genomic Medicine, Oxford University Hospitals NHS Trust, Oxford, UK
| | - Saundra Buys
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | | | | | - Kathleen A Cooney
- Duke Cancer Institute and Duke University School of Medicine, Durham, NC, USA
| | - Marion Harris
- Monash Health, Clayton, VIC, Australia; Monash University, Clayton, VIC, Australia
| | - John McGrath
- Royal Devon and Exeter Hospital, Exeter, UK; University of Exeter Medical School, St Luke's Campus, Exeter, UK
| | - Rosemarie Davidson
- West of Scotland Genetic Service, Queen Elizabeth University Hospital, Glasgow, UK
| | - Amy Taylor
- East Anglian Medical Genetics Service, Cambridge University Hospitals NHS Trust, Cambridge, UK
| | | | - Kathryn Myhill
- Cancer Genetics Unit & Academic Urology Unit, Royal Marsden NHS Foundation Trust, London, UK
| | - Matthew Hogben
- Cancer Genetics Unit & Academic Urology Unit, Royal Marsden NHS Foundation Trust, London, UK
| | - Neil K Aaronson
- Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Audrey Ardern-Jones
- Cancer Genetics Unit & Academic Urology Unit, Royal Marsden NHS Foundation Trust, London, UK
| | - Chris H Bangma
- Department of Urology, Erasmus Cancer Institute, Erasmus University Medical Centre, Rotterdam, Netherlands
| | - Elena Castro
- Spanish National Cancer Research Center, Madrid, Spain
| | - David Dearnaley
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, Sutton, Surrey, UK
| | - Alexander Dias
- Instituto Nacional de Cancer Jose de Alencar Gomes da Silva INCA, Rio de Janeiro, Brazil
| | | | - Diana M Eccles
- Wessex Clinical Genetics Service, Princess Anne Hospital, Southampton, UK; Faculty of Medicine, University of Southampton, Southampton, UK
| | - Kate Green
- Genomic Medicine, Division of Evolution and Genomic Sciences, University of Manchester, Manchester Academic Health Sciences Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - Jorunn Eyfjord
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | | | | | | | - Freddie C Hamdy
- Churchill Hospital, Headington, Oxford, UK; Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
| | - Oskar Johannsson
- Landspitali - the National University Hospital of Iceland, Reykjavik, Iceland
| | - Vincent Khoo
- Cancer Genetics Unit & Academic Urology Unit, Royal Marsden NHS Foundation Trust, London, UK; St George's Hospital, Tooting, London, UK; Department of Medicine, The University of Melbourne, Parkville, VIC, Australia; Division of Radiotherapy and Imaging, The Institute of Cancer Research, Sutton, Surrey, UK
| | - Hans Lilja
- Department of Translational Medicine, Lund University, Malmö, Sweden; Department of Laboratory Medicine, Department of Surgery, and Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Geoffrey J Lindeman
- Department of Medicine, The University of Melbourne, Parkville, VIC, Australia; Parkville Familial Cancer Centre, The Royal Melbourne Hospital, Parkville, VIC, Australia; Cancer Biology and Stem Cells Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia
| | - Jan Lubinski
- International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University in Szczecin, Szczecin, Poland
| | - Karol Axcrona
- Department of Urology, Akershus University Hospital, Lørenskog, Norway
| | | | - Anita V Mitra
- University College London Hospitals NHS Foundation Trust, London, UK
| | - Clare Moynihan
- Oncogenetics Team, Institute of Cancer Research, London, UK
| | | | - Gad Rennert
- CHS National Cancer Control Center, Carmel Medical Center, Haifa, Israel
| | - Rebecca Collier
- Clinical Genetics Service, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Judith Offman
- School of Cancer and Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, King's College London, Guy's Cancer Centre, Guy's Hospital, London, UK
| | | | - Rosalind A Eeles
- Oncogenetics Team, Institute of Cancer Research, London, UK; Cancer Genetics Unit & Academic Urology Unit, Royal Marsden NHS Foundation Trust, London, UK.
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Ghafoor S, Becker AS, Woo S, Causa Andrieu PI, Stocker D, Gangai N, Hricak H, Vargas HA. Comparison of PI-RADS Versions 2.0 and 2.1 for MRI-based Calculation of the Prostate Volume. Acad Radiol 2021; 28:1548-1556. [PMID: 32814644 DOI: 10.1016/j.acra.2020.07.027] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 07/20/2020] [Accepted: 07/21/2020] [Indexed: 01/25/2023]
Abstract
RATIONALE AND OBJECTIVES Prostate gland volume (PGV) should be routinely included in MRI reports of the prostate. The recently updated Prostate Imaging Reporting and Data System (PI-RADS) version 2.1 includes a change in the recommended measurement method for PGV compared to version 2.0. The purpose of this study was to evaluate the agreement of MRI-based PGV calculations with the volumetric manual slice-by-slice prostate segmentation as a reference standard using the linear measurements per PI-RADS versions 2.0 and 2.1. Furthermore, to assess inter-reader agreement for the different measurement approaches, determine the influence of an enlarged transition zone on measurement accuracy and to assess the value of the bullet formula for PGV calculation. MATERIALS AND METHODS Ninety-five consecutive treatment-naive patients undergoing prostate MRI were retrospectively analyzed. Prostates were manually contoured and segmented on axial T2-weighted images. Four different radiologists independently measured the prostate in three dimensions according to PI-RADS v2.0 and v2.1, respectively. MRI-based PGV was calculated using the ellipsoid and bullet formulas. Calculated volumes were compared to the reference manual segmentations using Wilcoxon signed-rank test. Inter-reader agreement was calculated using intraclass correlation coefficient (ICC). RESULTS Inter-reader agreement was excellent for the ellipsoid and bullet formulas using PI-RADS v2.0 (ICC 0.985 and 0.987) and v2.1 (ICC 0.990 and 0.994), respectively. The median difference from the reference standard using the ellipsoid formula derived PGV was 0.4 mL (interquartile range, -3.9 to 5.1 mL) for PI-RADS v2.0 (p = 0.393) and 2.6 mL (interquartile range, -1.6 to 7.3 mL) for v2.1 (p < 0.001) with a median difference of 2.2 mL. The bullet formula overestimated PGV by a median of 13.3 mL using PI-RADS v2.0 (p < 0.001) and 16.0 mL using v2.1 (p < 0.001). In the presence of an enlarged transition zone the PGV tended to be higher than the reference standard for PI-RADS v2.0 (median difference of 4.7 mL; p = 0.018) and for v2.1 (median difference of 5.7 mL, p < 0.001) using the ellipsoid formula. CONCLUSION Inter-reader agreement was excellent for the calculated PGV for both methods. PI-RADS v2.0 measurements with the ellipsoid formula yielded the most accurate volume estimates. The differences between PI-RADS v2.0 and v2.1 were statistically significant although small in absolute numbers but may be of relevance in specific clinical scenarios like prostate-specific antigen density calculation. These findings validate the use of the ellipsoid formula and highlight that the bullet formula should not be used for prostate volume estimation due to systematic overestimation.
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Affiliation(s)
- Soleen Ghafoor
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA.
| | - Anton S Becker
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
| | - Sungmin Woo
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
| | - Pamela I Causa Andrieu
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
| | - Daniel Stocker
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Natalie Gangai
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
| | - Hedvig Hricak
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
| | - Hebert Alberto Vargas
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
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Hubbard S, Wells SA, Olson K, Jarrard DF, Huang W. Combined mpMRI/US fusion targeted and concurrent standard biopsies in the detection of prostate cancer: a retrospective study. Am J Transl Res 2021; 13:12107-12113. [PMID: 34786148 PMCID: PMC8581879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Accepted: 05/10/2021] [Indexed: 06/13/2023]
Abstract
UNLABELLED In this retrospective study we compared the PCa detection rates between combined (combined MRI/US fusion targeted biopsy with concurrent standard biopsy) and standard systemic, combined and targeted (component), and targeted (component) and concurrent standard (component) biopsies. DESIGN Two cohorts, totaling 735 cases, were selected from the University of Wisconsin Pathology archive. 390 cases (cohort 1) were combined biopsies from 2017-2020 and 345 cases (cohort 2) were part of the standard US-guided systematic biopsies from the same period. PCa was stratified into three categories: low, intermediate, and high risks. RESULTS We found that combined biopsy was significantly better than the standard biopsy in detection of PCa (65.4% vs. 51.6%, P<0.01) and intermediate-risk PCa (18.7% vs. 10.4%, P=0.05) but only slightly better at detecting high-risk PCa (26.7% vs. 23.5%, P=0.32). Further examining the biopsy results in cohort 1, we found that combined biopsy was superior to targeted biopsy (65.4% vs. 56.9%, P=0.02) or concurrent standard biopsy (65.4% vs. 52.1%, P=0.0002) in PCa detection. Combined biopsy detected significantly more high-risk PCa than concurrent standard biopsy (26.7% vs. 17.4, P=0.002), but the difference in detecting high-risk PCa between combined and targeted biopsies was not significant (26.7% vs. 22.1%, P=0.133). Similarly, the differences in detecting PCa and high-risk PCa between targeted and concurrent standard biopsies were not significant (56.9% vs. 52.1%, P=0.172 and 22.1% vs. 17.4, P=0.133, respectively). Both targeted and concurrent standard biopsies missed PCa of each risk level. CONCLUSION Combined MRI/US fusion targeted plus standard prostate biopsy is a superior technique for the detection of PCa and clinically significant PCa.
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Affiliation(s)
- Samuel Hubbard
- Department of Pathology and Laboratory Medicine, University of Wisconsin School of Medicine and Public HealthMadison, WI, USA
| | - Shane A Wells
- Department of Radiology, University of Wisconsin School of Medicine and Public HealthMadison, WI, USA
| | - Kelly Olson
- Department of Pathology and Laboratory Medicine, University of Wisconsin School of Medicine and Public HealthMadison, WI, USA
| | - David F Jarrard
- Department of Urology, University of Wisconsin School of Medicine and Public HealthMadison, WI, USA
| | - Wei Huang
- Department of Pathology and Laboratory Medicine, University of Wisconsin School of Medicine and Public HealthMadison, WI, USA
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Cheng LJ, Soon SS, Tan TW, Tan CH, Lim TSK, Tay KJ, Loke WT, Ang B, Chiong E, Ng K. Cost-effectiveness of MRI targeted biopsy strategies for diagnosing prostate cancer in Singapore. BMC Health Serv Res 2021; 21:909. [PMID: 34479565 PMCID: PMC8414680 DOI: 10.1186/s12913-021-06916-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 08/18/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND To evaluate the cost-effectiveness of six diagnostic strategies involving magnetic resonance imaging (MRI) targeted biopsy for diagnosing prostate cancer in initial and repeat biopsy settings from the Singapore healthcare system perspective. METHODS A combined decision tree and Markov model was developed. The starting model population was men with mean age of 65 years referred for a first prostate biopsy due to clinical suspicion of prostate cancer. The six diagnostic strategies were selected for their relevance to local clinical practice. They comprised MRI targeted biopsy following a positive pre-biopsy multiparametric MRI (mpMRI) [Prostate Imaging - Reporting and Data System (PI-RADS) score ≥ 3], systematic biopsy, or saturation biopsy employed in different testing combinations and sequences. Deterministic base case analyses with sensitivity analyses were performed using costs from the healthcare system perspective and quality-adjusted life years (QALY) gained as the outcome measure to yield incremental cost-effectiveness ratios (ICERs). RESULTS Deterministic base case analyses showed that Strategy 1 (MRI targeted biopsy alone), Strategy 2 (MRI targeted biopsy ➔ systematic biopsy), and Strategy 4 (MRI targeted biopsy ➔ systematic biopsy ➔ saturation biopsy) were cost-effective options at a willingness-to-pay (WTP) threshold of US$20,000, with ICERs ranging from US$18,975 to US$19,458. Strategies involving MRI targeted biopsy in the repeat biopsy setting were dominated. Sensitivity analyses found the ICERs were affected mostly by changes to the annual discounting rate and prevalence of prostate cancer in men referred for first biopsy, ranging between US$15,755 to US$23,022. Probabilistic sensitivity analyses confirmed Strategy 1 to be the least costly, and Strategies 2 and 4 being the preferred strategies when WTP thresholds were US$20,000 and US$30,000, respectively. LIMITATIONS AND CONCLUSIONS This study found MRI targeted biopsy to be cost-effective in diagnosing prostate cancer in the biopsy-naïve setting in Singapore.
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Affiliation(s)
- Li-Jen Cheng
- Agency for Care Effectiveness, Ministry of Health, Singapore, 16 College Road, Singapore, 169854 Singapore
| | - Swee Sung Soon
- Agency for Care Effectiveness, Ministry of Health, Singapore, 16 College Road, Singapore, 169854 Singapore
| | - Teck Wei Tan
- Department of Urology, Tan Tock Seng Hospital, Singapore, Singapore
| | - Cher Heng Tan
- Department of Diagnostic Radiology, Tan Tock Seng Hospital, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | | | - Kae Jack Tay
- Department of Urology, Singapore General Hospital, Singapore, Singapore
| | - Wei Tim Loke
- Urology Service, Ng Teng Fong General Hospital, Singapore, Singapore
| | - Bertrand Ang
- Department of Diagnostic Imaging, National University Hospital, Singapore, Singapore
| | - Edmund Chiong
- Department of Urology, National University Hospital, Singapore, Singapore
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Kwong Ng
- Agency for Care Effectiveness, Ministry of Health, Singapore, 16 College Road, Singapore, 169854 Singapore
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Magnier A, Nedelcu C, Chelly S, Rousselet-Chapeau MC, Azzouzi AR, Lebdai S. Prostate cancer detection by targeted prostate biopsy using the 3D Navigo system: a prospective study. Abdom Radiol (NY) 2021; 46:4381-4387. [PMID: 33856508 DOI: 10.1007/s00261-021-03078-9] [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: 12/08/2020] [Revised: 03/28/2021] [Accepted: 03/31/2021] [Indexed: 11/27/2022]
Abstract
PURPOSE The 3D Navigo™ system is a magnetic resonance imaging (MRI) and transrectal ultrasound (TRUS) fusion device for prostate targeted biopsies (TB). Our aim was to evaluate the clinically significant prostate cancer (CSC) detection rate of TB using the 3D Navigo™ system. METHODS Patients who underwent TB with the 3D Navigo™ system in our center between June 2014 and May 2018 were prospectively included, excluding those who have previously received treatment for prostate cancer. A 3-Tesla MRI imaging was performed before biopsies; findings were reported according to the Prostate Imaging Reporting and Data System version 2 (PIRADS). CSC was defined by an ISUP score ≥ 2. RESULTS 304 patients underwent TB. Median age was 66 years (51-84). Median PSA was 7.75 ng/ml (0.6-70.0). Median prostate volume was 45.0 ml (15.9-221.7). PCa and CSC were found in 70.4% (214/304) and 47.7% (145/304) of the patients, respectively. The proportion of patients diagnosed with CSC among those with PCa was 67.8% (145/214). There was a significant risk of having a CSC in case of PIRADS score ≥ 4 and 5 (OR 5.0, 95% CI [2.7-9.2], P < 0.001; OR 3.2, 95% CI [1.8-5.5], P < 0.001). PIRADS score was an independent risk factor of having a CSC (OR 4.19, 95% CI [2.49-7.05], P < 0.001). There was no significant difference between pathological outcomes of TB and RP in paired analysis (P = 0.892). There was a correlation between TB and RP specimens for PCa detection (r = 0.60, P < 0.001). CONCLUSION Detecting CSC with MRI-TRUS fusion targeted biopsies using the 3D Navigo™ system is feasible and safe. We found a positive correlation between TB and RP for ISUP scores.
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Affiliation(s)
- Alexandre Magnier
- Urology Department, University Hospital of Angers, 4 rue Larrey, 49933, Angers Cedex 9, France.
| | - Cosmina Nedelcu
- Radiology Department, University Hospital of Angers, Angers, France
| | - Samuel Chelly
- Urology Department, University Hospital of Angers, 4 rue Larrey, 49933, Angers Cedex 9, France
| | | | - Abdel Rahmene Azzouzi
- Urology Department, University Hospital of Angers, 4 rue Larrey, 49933, Angers Cedex 9, France
| | - Souhil Lebdai
- Urology Department, University Hospital of Angers, 4 rue Larrey, 49933, Angers Cedex 9, France
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Bartoletti R, Greco A, Di Vico T, Durante J, Ficarra V, Scilingo EP, Valenza G. Bioelectric Impedance Analysis Test Improves the Detection of Prostate Cancer in Biopsy Candidates: A Multifeature Decision Support System. Front Oncol 2021; 11:555277. [PMID: 34513653 PMCID: PMC8430220 DOI: 10.3389/fonc.2021.555277] [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: 04/27/2020] [Accepted: 07/28/2021] [Indexed: 11/13/2022] Open
Abstract
Prostate cancer (PCa) gold-standard diagnosis relies on prostate biopsy, which is currently overly recommended since other available noninvasive tools such as prostate-specific antigen (PSA) multiparametric MRI (mMRI) showed low diagnostic accuracy or high costs, respectively. The aim of the study was to determine the accuracy of a novel Bioelectric Impedance Analysis (BIA) test endorectal probe for the selection of patients candidate to prostate biopsy and in particular the clinical value of three different parameters such as resistance (R), reactance (Xc), and phase angle (PA) degree. One-hundred twenty-three consecutive candidates to prostate biopsy and 40 healthy volunteers were enrolled. PSA and PSA density (PSAD) determinations, Digital Rectal Examination (DRE), and the novel BIA test were analyzed in patients and controls. A 16-core prostate biopsy was performed after a mMRI test. The study endpoints were to determine accuracy of BIA test in comparison with PSA, PSAD levels, and mMRI and obtain prostate cancer (PCa) prediction by BIA test. The Mann-Whitney U-test, the Wilkoxon rank test, and the Holm-Bonferroni's method were adopted for statistical analyses, and a computational approach was also applied to differentiate patients with PCa from those with benign disease. Combined PSA, PSAD, DRE, and trans-rectal ultrasound test failed to discern patients with PCa from those with benign disease (62.86% accuracy). mMRI PIRADS ≥3 showed a sensitivity of 83% and a specificity of 59%. The accuracy in discerning PCa increased up to 75% by BIA test (sensitivity 63.33% and specificity 83.75%). The novel finger probe BIA test is a cheap and reliable test that may help to improve clinical multifeature noninvasive diagnosis for PCa and reduce unnecessary biopsies.
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Affiliation(s)
- Riccardo Bartoletti
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Alberto Greco
- Department of Information Engineering & Research Center “E. Piaggio”, University of Pisa, Pisa, Italy
| | - Tommaso Di Vico
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Jacopo Durante
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Vincenzo Ficarra
- Department of Human and Paediatric Pathology “Gaetano Barresi” University of Messina, Messina, Italy
| | - Enzo Pasquale Scilingo
- Department of Information Engineering & Research Center “E. Piaggio”, University of Pisa, Pisa, Italy
| | - Gaetano Valenza
- Department of Information Engineering & Research Center “E. Piaggio”, University of Pisa, Pisa, Italy
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Abstract
PET/MR imaging is in routine clinical use and is at least as effective as PET/CT for oncologic and neurologic studies with advantages with certain PET radiopharmaceuticals and applications. In addition, whole body PET/MR imaging substantially reduces radiation dosages compared with PET/CT which is particularly relevant to pediatric and young adult population. For cancer imaging, assessment of hepatic, pelvic, and soft-tissue malignancies may benefit from PET/MR imaging. For neurologic imaging, volumetric brain MR imaging can detect regional volume loss relevant to cognitive impairment and epilepsy. In addition, the single-bed position acquisition enables dynamic brain PET imaging without extending the total study length which has the potential to enhance the diagnostic information from PET.
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Affiliation(s)
- Farshad Moradi
- Department of Radiology, Stanford University, 300 Pasteur Drive, H2200, Stanford, CA 94305, USA.
| | - Andrei Iagaru
- Department of Radiology, Stanford University, 300 Pasteur Drive, H2200, Stanford, CA 94305, USA
| | - Jonathan McConathy
- Department of Radiology, University of Alabama at Birmingham, 619 19th Street South, JT 773, Birmingham, AL 35249, USA
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Doan P, Graham P, Lahoud J, Remmers S, Roobol MJ, Kim L, Patel MI. A comparison of prostate cancer prediction models in men undergoing both magnetic resonance imaging and transperineal biopsy: Are the models still relevant? BJU Int 2021; 128 Suppl 3:36-44. [PMID: 34374190 DOI: 10.1111/bju.15554] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
OBJECTIVE To externally validate and compare the performance of the European Randomized Study of Screening for Prostate Cancer risk calculator 3/4 (ERSPC-RC3/4), the Prostate Biopsy Collaborative Group risk calculator (PBCG-RC) and the van Leeuwen model to determine which prediction model would perform the best in a contemporary Australian cohort undergoing transperineal (TP) biopsy. MATERIALS AND METHODS A retrospective review identified all patients undergoing TP biopsy across two centres. Of the 797 patients identified, 373 had the data required to test all three risk calculators. The probability of high-grade prostate cancer, defined as International Society of Urological Pathology Grade Group >1, was calculated for each patient. For each prediction model discrimination was assessed using area under the receiver-operating characteristic curve (AUC), calibration using numerical and graphical summaries, and net benefit using decision curve analysis. RESULTS Assessment of model discrimination for detecting high-grade prostate cancer showed AUCs of 0.79 (95% confidence interval [CI] 0.74-0.84) for the ERSPC-RC3/4, 0.81 (95% CI 0.77-0.86) for the van Leeuwen model, and 0.68 (95% CI 0.63-0.74) for the PBCG-RC, compared to 0.58 (95% CI 0.52-0.65) for prostate-specific antigen alone. The ERSPC-RC3/4 was the best calibrated in the moderate-risk range of 10-40%, whilst the van Leeuwen model was the best calibrated in the low-risk range of 0-10%. The van Leeuwen model demonstrated the greatest net benefit from 10% risk onwards, followed closely by the ERSPC-RC3/4 and then the PBCG-RC. CONCLUSION The ERPSC-RC3/4 demonstrated good performance and was comparable to the van Leeuwen model with regard to discrimination, calibration and net benefit for an Australian population undergoing TP prostate biopsy. It is one of the most accessible risk calculators with an easy-to-use online platform, therefore, we recommend that Australian urologists use the ERSPC-RC3/4 to predict risk in the clinical setting.
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Affiliation(s)
- Paul Doan
- Department of Urology, Westmead Hospital, Westmead, NSW, Australia
| | - Petra Graham
- Macquarie Business School, Macquarie University, Sydney, NSW, Australia
| | - John Lahoud
- Department of Urology, Westmead Hospital, Westmead, NSW, Australia
| | | | | | - Lawrence Kim
- Department of Urology, Westmead Hospital, Westmead, NSW, Australia.,Specialty of Surgery, Sydney Medical School, University of Sydney, Sydney, NSW, Australia
| | - Manish I Patel
- Department of Urology, Westmead Hospital, Westmead, NSW, Australia.,Specialty of Surgery, Sydney Medical School, University of Sydney, Sydney, NSW, Australia
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Moradi F, Farolfi A, Fanti S, Iagaru A. Prostate cancer: Molecular imaging and MRI. Eur J Radiol 2021; 143:109893. [PMID: 34391061 DOI: 10.1016/j.ejrad.2021.109893] [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: 09/16/2020] [Revised: 07/26/2021] [Accepted: 08/01/2021] [Indexed: 10/20/2022]
Abstract
The role of molecular imaging in initial evaluation of men with presumed or established diagnosis of prostate cancer and work up of biochemical recurrence and metastatic disease is rapidly evolving due to superior diagnostic performance compared to anatomic imaging. However, variable tumor biology and expression of transmembrane proteins or metabolic alterations poses a challenge. We review the evidence and controversies with emphasis on emerging PET radiopharmaceuticals and experience on clinical utility of PET/CT and PET/MRI in diagnosis and management of prostate cancer.
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Affiliation(s)
- Farshad Moradi
- Department of Radiology, Division of Nuclear Medicine and Molecular Imaging, Stanford University, Stanford, CA, USA.
| | - Andrea Farolfi
- Nuclear Medicine Division, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Stefano Fanti
- Nuclear Medicine Division, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Andrei Iagaru
- Department of Radiology, Division of Nuclear Medicine and Molecular Imaging, Stanford University, Stanford, CA, USA
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Bergengren O, Westerberg M, Holmberg L, Stattin P, Bill-Axelson A, Garmo H. Variation in Prostate-Specific Antigen Testing Rates and Prostate Cancer Treatments and Outcomes in a National 20-Year Cohort. JAMA Netw Open 2021; 4:e219444. [PMID: 33999165 PMCID: PMC8129820 DOI: 10.1001/jamanetworkopen.2021.9444] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
IMPORTANCE The diagnostic activity for prostate cancer has increased during the past decades. However, the benefit and harm of the increased diagnostic activity have not been quantified in detail for a country or a large region. OBJECTIVE The aim of this study was to evaluate and quantify the association between increases in diagnostic activity driven by prostate-specific antigen testing and incidence of prostate cancer diagnosis, treatment, and mortality. DESIGN, SETTING, AND PARTICIPANTS This cohort study used the Proxy-Based Risk-Stratified Incidence Simulation Model-Prostate Cancer to examine observed data on all Swedish men with prevalent prostate cancer and compare them with a corresponding, hypothetical, simulated scenario with more restrictive diagnostic activity. All men aged 40 to 100 years living in Sweden during the time period 1996 to 2016 with incident and prevalent prostate cancer were included. The second scenario is the corresponding, hypothetical, simulated scenario where diagnostic activity remained constant as of 1996 (the beginning of the prostate-specific antigen testing era) throughout the study period. EXPOSURES High or low diagnostic activity for prostate cancer. MAIN OUTCOMES AND MEASURES Incidence of prostate cancer diagnosis, treatment (deferred treatment, curative treatment, and hormonal treatment), and prostate cancer mortality. RESULTS During the study period from 1996 to 2016, 188 884 men were diagnosed with prostate cancer at a median (interquartile range) age of 71 (64-77) years. Compared with the low-diagnostic activity scenario, in the high-diagnostic activity scenario, the number of men diagnosed with prostate cancer was 48% higher (423 vs 286 [95% CI, 271-302] per 100 000 men per year), 148% more men were diagnosed with low- or intermediate-risk cancer (221 vs 89 [95% CI, 73-105] per 100 000 men per year), and 108% more men received curative treatment (152 vs 73 [95% CI: 66-85] per 100 000 men per year). There were up to 15% fewer prostate cancer deaths in the scenario with high-diagnostic activity (incidence rate ratio, 0.85; 95% CI, 0.82-0.88). CONCLUSIONS AND RELEVANCE This study's results suggest that increased prostate-specific antigen testing and diagnostic activity are associated with a larger number of men being diagnosed with prostate cancer, predominately with low- and intermediate-risk disease. The increased diagnostic activity was associated with a 2-fold increase in curative treatment and a modest decrease in mortality.
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Affiliation(s)
- Oskar Bergengren
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Marcus Westerberg
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
- Department of Mathematics, Uppsala University, Uppsala, Sweden
| | - Lars Holmberg
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
- Translational Oncology & Urology Research (TOUR), School of Cancer and Pharmaceutical Sciences, King’s College London, London, United Kingdom
| | - Pär Stattin
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Anna Bill-Axelson
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Hans Garmo
- Translational Oncology & Urology Research (TOUR), School of Cancer and Pharmaceutical Sciences, King’s College London, London, United Kingdom
- Regional Cancer Center Uppsala Örebro, Uppsala, Sweden
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Günzel K, Magheli A, Baco E, Cash H, Heinrich S, Neubert H, Schlegel J, Schostak M, Henkel T, Asbach P, Hinz S. Infection rate and complications after 621 transperineal MRI-TRUS fusion biopsies in local anesthesia without standard antibiotic prophylaxis. World J Urol 2021; 39:3861-3866. [PMID: 33866401 DOI: 10.1007/s00345-021-03699-1] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 04/10/2021] [Indexed: 12/20/2022] Open
Abstract
PURPOSE The aim of this study was to assess the post biopsy infection rate, feasibility and prostate cancer (PCa) detection rate (CDR) by performing transperineal MRI-TRUS fusion biopsy of the prostate (TPBx) under local anesthesia (LA) without antibiotic prophylaxis (AP). METHODS We prospectively screened 766 men with suspicious lesions on mpMRI, an elevated PSA level or a suspect digital examination undergoing MRI-TRUS-TPBx in LA, from May 2019 to July 2020. Patients with the need for antibiotic prophylaxis or without a PI-RADS target lesion were excluded from final analyses. We reported CDR, perioperative pain (0-10) and postoperative complications. PCa with an ISUP grade ≥ 2 was classified as clinically significant PCa (csPCa). RESULTS We included 621 patients with a median age of 68 years (IQR 62-74), a PSA of 6.43 ng/mL (IQR 4.72-9.91) and a prostate volume of 45 cc (IQR 32-64). In median, 4 targeted (TB) (IQR 3-4) and 6 (IQR 5-7) systematic biopsies (SB) detected in combination overall 416 (67%) PCa and 324 (52%) csPCa. Overall CDR of TB for PI-RADS 3, 4 and 5 was 26%, 65% and 84%, respectively. Patients reported a median perioperative pain level of 2 (IQR 1-3). Four patients (0.6%) developed a post biopsy infection, one experienced urosepsis. CONCLUSION Our results demonstrate that transperineal MRI-TRUS fusion-guided prostate biopsy under LA without AP is feasible, safe and well tolerated.
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Affiliation(s)
- K Günzel
- Department of Urology, Vivantes Klinikum Am Urban Berlin, Dieffenbachstraße 1, 10967, Berlin, Germany.
| | - A Magheli
- Department of Urology, Vivantes Klinikum Am Urban Berlin, Dieffenbachstraße 1, 10967, Berlin, Germany
| | - E Baco
- Department of Urology, Oslo University Hospital, Oslo, Norway
| | - H Cash
- Department of Urology, University Hospital Magdeburg, Magdeburg, Germany
| | - S Heinrich
- Department of Urology, Vivantes Klinikum Am Urban Berlin, Dieffenbachstraße 1, 10967, Berlin, Germany
| | - H Neubert
- Department of Urology, Vivantes Klinikum Am Urban Berlin, Dieffenbachstraße 1, 10967, Berlin, Germany
| | - J Schlegel
- Department of Urology, Vivantes Klinikum Am Urban Berlin, Dieffenbachstraße 1, 10967, Berlin, Germany
| | - M Schostak
- Department of Urology, University Hospital Magdeburg, Magdeburg, Germany
| | - T Henkel
- Department of Urology, Vivantes Klinikum Am Urban Berlin, Dieffenbachstraße 1, 10967, Berlin, Germany
| | - P Asbach
- Department of Radiology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - S Hinz
- Department of Urology, Vivantes Klinikum Am Urban Berlin, Dieffenbachstraße 1, 10967, Berlin, Germany
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Hricak H, Abdel-Wahab M, Atun R, Lette MM, Paez D, Brink JA, Donoso-Bach L, Frija G, Hierath M, Holmberg O, Khong PL, Lewis JS, McGinty G, Oyen WJG, Shulman LN, Ward ZJ, Scott AM. Medical imaging and nuclear medicine: a Lancet Oncology Commission. Lancet Oncol 2021; 22:e136-e172. [PMID: 33676609 PMCID: PMC8444235 DOI: 10.1016/s1470-2045(20)30751-8] [Citation(s) in RCA: 163] [Impact Index Per Article: 40.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Revised: 12/04/2020] [Accepted: 12/07/2020] [Indexed: 12/13/2022]
Abstract
The diagnosis and treatment of patients with cancer requires access to imaging to ensure accurate management decisions and optimal outcomes. Our global assessment of imaging and nuclear medicine resources identified substantial shortages in equipment and workforce, particularly in low-income and middle-income countries (LMICs). A microsimulation model of 11 cancers showed that the scale-up of imaging would avert 3·2% (2·46 million) of all 76·0 million deaths caused by the modelled cancers worldwide between 2020 and 2030, saving 54·92 million life-years. A comprehensive scale-up of imaging, treatment, and care quality would avert 9·55 million (12·5%) of all cancer deaths caused by the modelled cancers worldwide, saving 232·30 million life-years. Scale-up of imaging would cost US$6·84 billion in 2020-30 but yield lifetime productivity gains of $1·23 trillion worldwide, a net return of $179·19 per $1 invested. Combining the scale-up of imaging, treatment, and quality of care would provide a net benefit of $2·66 trillion and a net return of $12·43 per $1 invested. With the use of a conservative approach regarding human capital, the scale-up of imaging alone would provide a net benefit of $209·46 billion and net return of $31·61 per $1 invested. With comprehensive scale-up, the worldwide net benefit using the human capital approach is $340·42 billion and the return per dollar invested is $2·46. These improved health and economic outcomes hold true across all geographical regions. We propose actions and investments that would enhance access to imaging equipment, workforce capacity, digital technology, radiopharmaceuticals, and research and training programmes in LMICs, to produce massive health and economic benefits and reduce the burden of cancer globally.
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Affiliation(s)
- Hedvig Hricak
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Radiology, Weill Cornell Medical College, New York, NY, USA.
| | - May Abdel-Wahab
- International Atomic Energy Agency, Division of Human Health, Vienna, Austria; Radiation Oncology, National Cancer Institute, Cairo University, Cairo, Egypt; Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Rifat Atun
- Department of Global Health and Population, Harvard TH Chan School of Public Health, Boston, MA, USA; Department of Global Health and Social Medicine, Harvard Medical School, Harvard University, Boston, MA, USA
| | | | - Diana Paez
- International Atomic Energy Agency, Division of Human Health, Vienna, Austria
| | - James A Brink
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Harvard University, Boston, MA, USA
| | - Lluís Donoso-Bach
- Department of Medical Imaging, Hospital Clínic of Barcelona, University of Barcelona, Barcelona, Spain
| | | | | | - Ola Holmberg
- Radiation Protection of Patients Unit, International Atomic Energy Agency, Vienna, Austria
| | - Pek-Lan Khong
- Department of Diagnostic Radiology, University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Jason S Lewis
- Department of Radiology and Molecular Pharmacology Programme, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Departments of Pharmacology and Radiology, Weill Cornell Medical College, New York, NY, USA
| | - Geraldine McGinty
- Departments of Radiology and Population Science, Weill Cornell Medical College, New York, NY, USA; American College of Radiology, Reston, VA, USA
| | - Wim J G Oyen
- Department of Biomedical Sciences and Humanitas Clinical and Research Centre, Department of Nuclear Medicine, Humanitas University, Milan, Italy; Department of Radiology and Nuclear Medicine, Rijnstate Hospital, Arnhem, Netherlands; Department of Radiology and Nuclear Medicine, Radboud University Medical Centre, Nijmegen, Netherlands
| | - Lawrence N Shulman
- Department of Medicine, Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA, USA
| | - Zachary J Ward
- Center for Health Decision Science, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Andrew M Scott
- Tumour Targeting Laboratory, Olivia Newton-John Cancer Research Institute, Melbourne, VIC, Australia; Department of Molecular Imaging and Therapy, Austin Health, Melbourne, VIC, Australia; School of Cancer Medicine, La Trobe University, Melbourne, VIC, Australia; Department of Medicine, University of Melbourne, Melbourne, VIC, Australia
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Ward ZJ, Scott AM, Hricak H, Atun R. Global costs, health benefits, and economic benefits of scaling up treatment and imaging modalities for survival of 11 cancers: a simulation-based analysis. Lancet Oncol 2021; 22:341-350. [PMID: 33662286 DOI: 10.1016/s1470-2045(20)30750-6] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 12/07/2020] [Accepted: 12/11/2020] [Indexed: 12/11/2022]
Abstract
BACKGROUND In addition to increased availability of treatment modalities, advanced imaging modalities are increasingly recommended to improve global cancer care. However, estimates of the costs and benefits of investments to improve cancer survival are scarce, especially for low-income and middle-income countries (LMICs). In this analysis, we aimed to estimate the costs and lifetime health and economic benefits of scaling up imaging and treatment modality packages on cancer survival, both globally and by country income group. METHODS Using a previously developed model of global cancer survival, we estimated stage-specific cancer survival and life-years gained (accounting for competing mortality) in 200 countries and territories for patients diagnosed with one of 11 cancers (oesophagus, stomach, colon, rectum, anus, liver, pancreas, lung, breast, cervix uteri, and prostate) representing 60% of all cancer diagnoses between 2020 and 2030 (inclusive of full years). We evaluated the costs and health and economic benefits of scaling up packages of treatment (chemotherapy, surgery, radiotherapy, and targeted therapy), imaging modalities (ultrasound, x-ray, CT, MRI, PET, single-photon emission CT), and quality of care to the mean level of high-income countries, separately and in combination, compared with no scale-up. Costs and benefits are presented in 2018 US$ and discounted at 3% annually. FINDINGS For the 11 cancers studied, we estimated that without scale-up (ie, with current availability of treatment, imaging, and quality of care) there will be 76·0 million cancer deaths (95% UI 73·9-78·6) globally for patients diagnosed between 2020 and 2030, with more than 70% of these deaths occurring in LMICs. Comprehensive scale-up of treatment, imaging, and quality of care could avert 12·5% (95% UI 9·0-16·3) of these deaths globally, ranging from 2·8% (1·8-4·3) in high-income countries to 38·2% (32·6-44·5) in low-income countries. Globally, we estimate that comprehensive scale-up would cost an additional $232·9 billion (95% UI 85·9-422·0) between 2020 and 2030 (representing a 6·9% increase in cancer treatment costs), but produce $2·9 trillion (1·8-4·0) in lifetime economic benefits, yielding a return of $12·43 (6·47-33·23) per dollar invested. Scaling up treatment and quality of care without imaging would yield a return of $6·15 (2·66-16·71) per dollar invested and avert 7·0% (3·9-10·3) of cancer deaths worldwide. INTERPRETATION Simultaneous investment in cancer treatment, imaging, and quality of care could yield substantial health and economic benefits, especially in LMICs. These results provide a compelling rationale for the value of investing in the global scale-up of cancer care. FUNDING Harvard TH Chan School of Public Health and National Cancer Institute.
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Affiliation(s)
- Zachary J Ward
- Center for Health Decision Science, Harvard TH Chan School of Public Health, Harvard University, Boston, MA, USA.
| | - Andrew M Scott
- Olivia Newton-John Cancer Research Institute, Melbourne, VIC, Australia; Department of Molecular Imaging and Therapy, Austin Health, Melbourne, VIC, Australia; School of Cancer Medicine, La Trobe University, Melbourne, VIC, Australia; Department of Medicine, University of Melbourne, Melbourne, VIC, Australia
| | - Hedvig Hricak
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Rifat Atun
- Department of Global Health and Population, Harvard TH Chan School of Public Health, Harvard University, Boston, MA, USA; Department of Global Health and Social Medicine, Harvard Medical School, Harvard University, Boston, MA, USA
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Babajide R, Carbunaru S, Nettey OS, Watson KS, Holloway-Beth A, McDowell T, Levi JB, Murray M, Stinson J, Hollowell CMP, Dalton DP, Moore L, Kittles RA, Gann PH, Schaeffer EM, Murphy AB. Performance of Prostate Health Index in Biopsy Naïve Black Men. J Urol 2021; 205:718-724. [PMID: 33103942 PMCID: PMC8320068 DOI: 10.1097/ju.0000000000001453] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/13/2020] [Indexed: 01/31/2023]
Abstract
PURPOSE The Prostate Health Index is validated for prostate cancer detection but has not been well validated for Gleason grade group 2-5 prostate cancer detection in Black men. We hypothesize that the Prostate Health Index has greater accuracy than prostate specific antigen for detection of Gleason grade group 2-5 prostate cancer. We estimated probability of overall and Gleason grade group 2-5 prostate cancer across previously established Prostate Health Index ranges and identified Prostate Health Index cutoffs that maximize specificity for Gleason grade group 2-5 prostate cancer with sensitivity >90%. MATERIALS AND METHODS We recruited a "cancer-free" Black control cohort (135 patients) and a cohort of biopsy naïve Black men (158) biopsied for elevated prostate specific antigen. Descriptive statistics compared the prostate cancer cases and controls and the frequency of Gleason grade group 2-5 prostate cancer across Prostate Health Index scores. Receiver operating characteristics compared the discrimination of prostate specific antigen, Prostate Health Index and other prostate specific antigen related biomarkers. Sensitivity and specificity for Gleason grade group 2-5 prostate cancer detection were assessed at prostate specific antigen and Prostate Health Index thresholds alone and in series. RESULTS Of biopsied subjects 32.9% had Gleason grade group 2-5 prostate cancer. In Blacks with prostate specific antigen from 4.0-10.0 ng/ml, Prostate Health Index and prostate specific antigen had similar discrimination for Gleason grade group 2-5 prostate cancer (0.63 vs 0.57, p=0.27). In Blacks with prostate specific antigen ≤10.0, a threshold of prostate specific antigen ≥4.0 had 90.4% sensitivity for Gleason grade group 2-5 prostate cancer; a threshold of prostate specific antigen ≥4.0 with Prostate Health Index ≥35.0 in series avoided unnecessary biopsy in 33.0% of men but missed 17.3% of Gleason grade group 2-5 prostate cancer. Prostate specific antigen ≥4.0 with Prostate Health Index ≥28.0 in series spared biopsy in 17.9%, while maintaining 90.4% sensitivity of Gleason grade group 2-5 prostate cancer. CONCLUSIONS The Prostate Health Index has moderate accuracy in detecting Gleason grade group 2-5 prostate cancer in Blacks, but Prostate Health Index ≥28.0 can be safely used to avoid some unnecessary biopsies in Blacks.
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Affiliation(s)
- Rilwan Babajide
- University of Chicago Pritzker School of Medicine, Chicago, Illinois
| | | | | | - Karriem S. Watson
- University of Illinois Cancer Center, University of Illinois at Chicago, Chicago, Illinois
| | - Alfreda Holloway-Beth
- University of Illinois Cancer Center, University of Illinois at Chicago, Chicago, Illinois
| | | | - Josef Ben Levi
- Department of Philosophy/Educational Inquiry and Curriculum Studies, Northeastern Illinois University, Chicago, Illinois
| | | | - James Stinson
- Division of Urology, Cook County Health and Hospitals System, Chicago, Illinois
| | | | - Daniel P. Dalton
- Department of Urology, Northwestern Medicine, UroPartners, Northwestern Medicine, Chicago, Illinois
| | | | - Rick A. Kittles
- Department of Population Sciences, City of Hope, Duarte, California
| | - Peter H. Gann
- University of Illinois Cancer Center, University of Illinois at Chicago, Chicago, Illinois
| | | | - Adam B. Murphy
- Department of Urology, Northwestern Medicine, Chicago, Illinois
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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: 0.4] [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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Verma S, Zegar J, Hoge C, McGready J, Sidana A. Multiparametric MRI-ultrasound fusion prostate biopsy in patients without prior diagnosis of prostate cancer: beyond centers of excellence. Aging Male 2020; 23:1570-1575. [PMID: 33446002 DOI: 10.1080/13685538.2021.1873263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/22/2022] Open
Abstract
PURPOSE Multiparametric magnetic resonance imaging (mpMRI)-ultrasound (US) fusion prostate biopsy (FBx) has demonstrated increased accuracy for prostate cancer detection at designated centers of excellence. There is a concern if their results can be reproduced in smaller centers. Here, we evaluate the outcomes of FBx from a smaller academic center. METHODS A retrospective review of patients without a prior diagnosis of prostate cancer undergoing FBx from January 2014 to November 2019 was performed. Histopathological results were grouped into low-risk disease (Grade Group 1), intermediate-risk disease (Grade Group 2 and 3), and high-risk disease (Grade Group 4 or 5). Clinically significant (CS) prostate cancer was defined as Grade Group ≥ 2. RESULTS Five hundred and six men were included. Median age (IQR) and PSA (IQR) were 65.2 (60.3-70.2) years and 6.9 (5.2-9.7) ng/ml, respectively. There was no difference in overall cancer detection between FBx and SBx (53.6% vs 56.4% p = .1507). CS cancer detection was significantly higher with FBx (39.6% vs 35.3, p = .0275). FBx also outperformed SBx in diagnosing CS disease in patients with prior history of negative prostate biopsy (36.9% vs 27.9%, p < .001). CONCLUSION FBx detects a higher proportion of clinically significant disease and a lower proportion of clinically insignificant disease compared to SBx, in line with outcomes demonstrated by centers of excellence.
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Affiliation(s)
- Sadhna Verma
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Joseph Zegar
- Division of Urology, Department of Surgery, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Connor Hoge
- Division of Urology, Department of Surgery, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - John McGready
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Abhinav Sidana
- Division of Urology, Department of Surgery, University of Cincinnati College of Medicine, Cincinnati, OH, USA
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Pierro A, Di Marco M, Piacentini M, Astore C, Maselli G, Guerriero M, Di Lallo A, Sallustio G, Marcellino A, Cilla S. Multiparametric MR imaging of the prostate at 1.5-T without endorectal coil using an 8 channel pelvic phased array: Is it still a viable option? Radiography (Lond) 2020; 27:459-463. [PMID: 33148474 DOI: 10.1016/j.radi.2020.10.011] [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: 04/30/2020] [Revised: 10/17/2020] [Accepted: 10/19/2020] [Indexed: 11/30/2022]
Abstract
INTRODUCTION The purpose of our work was to evaluate the feasibility of prostate multiparametric MR imaging at 1.5-T without endorectal coil using an 8 channel pelvic phased array coil. MATERIAL AND METHODS A total of 154 patients who underwent mp-MRI were retrospectively included. Patients received a standardized mp-MRI, compliant with 2012 European Society of Uro-Radiology guidelines, with 1·5 T magnetic field strength and an 8 channel pelvic phased-array coil. Two blinded readers graded the image quality of mp-MRI on a three-point scale and they scored the prostate lesions according to PI-RADS v2. All PI-RADS of 4 or 5 underwent biopsy. A third radiologist and a pathologist verified the correspondence between the MRI images and the results of the biopsy. RESULTS 64 (41.6%) patients showed a Pi-rads of 4 or 5. At biopsy, 79.7% showed a Gleason score ≥7, 12.5% showed a Gleason score of 6 and 7.8% showed a negative biopsy. In the group of Pi-rads ≤ 3, 12 patients underwent a biopsy with the following results: negative biopsy in 33.3%, atypical Small Acinar Proliferation in 16.7%, prostatic intraepithelial neoplasia in 25% and indolent PCa 25%. Mp-MRI in the identification of clinically significant cancer provided a low percentage of false positive (7.8%) while in 79.7% of cases it was capable to detect clinically significant prostate cancer. In 92.2% of patients mp-MRI identified a prostate cancer with a Gleason score ≥6. The inter-reader agreement was excellent in defining both the quality of the examination and the PI-RADS category (k = 0.83 and k = 0.70, respectively). CONCLUSIONS mp-MRI at 1.5-T without endorectal coil using an 8 channel phased array is an appropriate tool for early detection of clinically significant prostate cancer. IMPLICATIONS FOR PRACTICE 8 channel pelvic phased array is still an appropriate tool for early detection of clinically significant prostate cancer and for obtaining a reduction in overdiagnosis of indolent PCa.
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Affiliation(s)
- A Pierro
- Radiology Department, Gemelli Molise Hospital, Campobasso, Italy.
| | - M Di Marco
- Department of Radiological Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italy; Department of Radiological Sciences, Università Cattolica del Sacro Cuore, Roma, Italy.
| | - M Piacentini
- Department of Radiological Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italy; Department of Radiological Sciences, Università Cattolica del Sacro Cuore, Roma, Italy.
| | - C Astore
- Radiology Department, Gemelli Molise Hospital, Campobasso, Italy.
| | - G Maselli
- Radiology Department, Gemelli Molise Hospital, Campobasso, Italy.
| | - M Guerriero
- Department of Pathology, "A. Cardarelli" Regional Hospital ASReM, Campobasso, Italy.
| | - A Di Lallo
- Department of Urology, "A. Cardarelli" Regional Hospital ASReM, Campobasso, Italy.
| | - G Sallustio
- Radiology Department, Gemelli Molise Hospital, Campobasso, Italy.
| | | | - S Cilla
- Medical Physics Unit, Gemelli Molise Hospital, Campobasso, Italy.
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Gurgitano M, Ancona E, Maresca D, Summers PE, Alessi S, Maggioni R, Liguori A, Pandolfi M, Rodà GM, De Filippo M, Paolucci A, Petralia G. In-bore MRI targeted biopsy. ACTA BIO-MEDICA : ATENEI PARMENSIS 2020; 91:e2020012. [PMID: 33245071 PMCID: PMC8023080 DOI: 10.23750/abm.v91i10-s.10251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/18/2020] [Accepted: 09/23/2020] [Indexed: 11/23/2022]
Abstract
Clinical suspicion of Prostate Cancer (PCa) is largely based on increased prostate specific antigen (PSA) level and/or abnormal digital rectal examination (DRE) and/or positive imaging and, up today, biopsy is mandatory to confirm the diagnosis. The old model consisted of Standard Biopsy (SBx), that is random sampling of the prostate gland under ultrasound guidance (TRUS), in subjects with clinical suspicion of PCa. This involves the risk of not diagnosing a high percentage of tumors (up to 30%) and of an incorrect risk stratification. Multiparametric Magnetic Resonance Imaging (mpMRI) has transformed the diagnostic pathway of PCa, not only as an imaging method for detecting suspicious lesions, but also as an intraprocedural guidance for Target Biopsy (MRI-TBx), thus bridging the diagnostic gap. Several single and multicenter randomized trials, such as PROMIS, MRI first, PRECISION and that reported by Van der Leest et al. have confirmed the superiority of the "MRI pathway", consisting of mpMRI and MRI-TBx of suspicious lesions, over the "standard pathway" of SBx in all patients with elevated PSA and/or positive DRE. MRI-TBx appears to be advantageous in reducing the overall number of biopsies performed, as well as in reducing the diagnosis of clinically insignificant disease while maintaining or improving the diagnosis of clinically significant PCa (cs-PCa). Moreover, it shows a reduction in the diagnosis of ins-PCa, and therefore, of overdiagnosis, when using MRI-TBx without sacrificing performance in the diagnosis of cs-PCa.
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Affiliation(s)
- Martina Gurgitano
- Division of Radiology, IEO European institute of oncology IRCCS, Milan, Italy .
| | - Eleonora Ancona
- Division of Radiology, IEO European institute of oncology IRCCS, Milan, Italy .
| | - Duilia Maresca
- Postgraduation School in Radiodiagnostics, Università degli Studi di Milano, Via Festa del Perdono, 7, 20122, Milan, Italy.
| | - Paul Eugene Summers
- Division of Radiology, IEO European institute of oncology IRCCS, Milan, Italy .
| | - Sarah Alessi
- Division of Radiology, IEO European institute of oncology IRCCS, Milan, Italy .
| | - Roberta Maggioni
- Postgraduation School in Radiodiagnostics, Università degli Studi di Milano, Via Festa del Perdono, 7, 20122, Milan, Italy.
| | - Alessandro Liguori
- Diagnostic and Interventional Radiology, Fondazione IRCCS Cà Granda, Ospedale Maggiore Policlinico, Milano Italy.
| | - Marco Pandolfi
- Radiology Unit, Istituto Clinico Città Studi Milano, via Niccolò Jommelli, 17, 20131 Milano, Italy .
| | - Giovanni Maria Rodà
- Postgraduation School in Radiodiagnostics, Università degli Studi di Milano, Via Festa del Perdono, 7, 20122, Milan, Italy.
| | - Massimo De Filippo
- Section of Radiology of Surgical Sciences, Department of Medicine and Surgery, Azienda Ospedaliero-Universitaria di Parma, University of Parma, Parma, Italy.
| | - Aldo Paolucci
- Diagnostic and Interventional Radiology, Fondazione IRCCS Cà Granda, Ospedale Maggiore Policlinico, Milano Italy.
| | - Giuseppe Petralia
- Precision Imaging and Research Unit, IEO, European Institute of Oncology IRCCS, Milan, Italy; Department of Oncology and Hematology, University of Milan, Milan, Italy..
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Alfano R, Bauman GS, Liu W, Thiessen JD, Rachinsky I, Pavlosky W, Butler J, Gaed M, Moussa M, Gomez JA, Chin JL, Pautler S, Ward AD. Histologic validation of auto-contoured dominant intraprostatic lesions on [ 18F] DCFPyL PSMA-PET imaging. Radiother Oncol 2020; 152:34-41. [PMID: 32827589 DOI: 10.1016/j.radonc.2020.08.008] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 07/22/2020] [Accepted: 08/14/2020] [Indexed: 12/12/2022]
Abstract
BACKGROUND PSMA-PET1 has shown good concordance with histology, but there is a need to investigate the ability of PSMA-PET to delineate DIL2 boundaries for guided biopsy and focal therapy planning. OBJECTIVE To determine threshold and margin combinations that satisfy the following criteria: ≥95% sensitivity with max specificity and ≥95% specificity with max sensitivity. DESIGN, SETTING AND PARTICIPANTS We registered pathologist-annotated whole-mount mid-gland prostatectomy histology sections cut in 4.4 mm intervals from 12 patients to pre-surgical PSMA-PET/MRI by mapping histology to ex-vivo imaging to in-vivo imaging. We generated PET-derived tumor volumes using boundaries defined by thresholded PET volumes from 1-100% of SUV3max in 1% intervals. At each interval, we applied margins of 0-30 voxels in one voxel increments, giving 3000 volumes/patient. OUTCOME MEASUREMENTS Mean and standard deviation of sensitivity and specificity for cancer detection within the 2D oblique histologic planes that intersected with the 3D PET volume for each patient. RESULTS AND LIMITATIONS A threshold of 67% SUV max with an 8.4 mm margin achieved a (mean ± std.) sensitivity of 95.0 ± 7.8% and specificity of 76.4 ± 14.7%. A threshold of 81% SUV max with a 5.1 mm margin achieved sensitivity of 65.1 ± 28.4% and specificity of 95.1 ± 5.2%. CONCLUSIONS Preliminary evidence of thresholding and margin expansion of PSMA-PET images targeted at DILs validated with histopathology demonstrated excellent mean sensitivity and specificity in the setting of focal therapy/boosting and guided biopsy. These parameters can be used in a larger validation study supporting clinical translation.
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Affiliation(s)
- Ryan Alfano
- Baines Imaging Research Laboratory, London, Canada; London Health Sciences Centre, London, Canada; Western University Department of Medical Biophysics, London, Canada.
| | - Glenn S Bauman
- London Health Sciences Centre, London, Canada; Western University Department of Medical Biophysics, London, Canada; Western University Department of Oncology, London, Canada.
| | - Wei Liu
- London Health Sciences Centre, London, Canada; Western University Department of Oncology, London, Canada.
| | - Jonathan D Thiessen
- Western University Department of Medical Biophysics, London, Canada; St. Joseph's Health Centre, London, Canada; Western University Department of Medical Imaging, London, Canada.
| | - Irina Rachinsky
- London Health Sciences Centre, London, Canada; Western University Department of Medical Imaging, London, Canada.
| | - William Pavlosky
- Western University Department of Medical Imaging, London, Canada.
| | | | - Mena Gaed
- Western University Department of Pathology and Laboratory Medicine, London, Canada.
| | - Madeleine Moussa
- London Health Sciences Centre, London, Canada; Western University Department of Pathology and Laboratory Medicine, London, Canada.
| | - Jose A Gomez
- London Health Sciences Centre, London, Canada; Western University Department of Pathology and Laboratory Medicine, London, Canada.
| | - Joseph L Chin
- London Health Sciences Centre, London, Canada; Western University Department of Surgery, London, Canada; Western University Department of Oncology, London, Canada.
| | - Stephen Pautler
- St. Joseph's Health Centre, London, Canada; Western University Department of Oncology, London, Canada.
| | - Aaron D Ward
- Baines Imaging Research Laboratory, London, Canada; London Health Sciences Centre, London, Canada; Western University Department of Medical Biophysics, London, Canada; Western University Department of Oncology, London, Canada.
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Hamdy FC, Donovan JL, Lane JA, Mason M, Metcalfe C, Holding P, Wade J, Noble S, Garfield K, Young G, Davis M, Peters TJ, Turner EL, Martin RM, Oxley J, Robinson M, Staffurth J, Walsh E, Blazeby J, Bryant R, Bollina P, Catto J, Doble A, Doherty A, Gillatt D, Gnanapragasam V, Hughes O, Kockelbergh R, Kynaston H, Paul A, Paez E, Powell P, Prescott S, Rosario D, Rowe E, Neal D. Active monitoring, radical prostatectomy and radical radiotherapy in PSA-detected clinically localised prostate cancer: the ProtecT three-arm RCT. Health Technol Assess 2020; 24:1-176. [PMID: 32773013 PMCID: PMC7443739 DOI: 10.3310/hta24370] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Prostate cancer is the most common cancer among men in the UK. Prostate-specific antigen testing followed by biopsy leads to overdetection, overtreatment as well as undertreatment of the disease. Evidence of treatment effectiveness has lacked because of the paucity of randomised controlled trials comparing conventional treatments. OBJECTIVES To evaluate the effectiveness of conventional treatments for localised prostate cancer (active monitoring, radical prostatectomy and radical radiotherapy) in men aged 50-69 years. DESIGN A prospective, multicentre prostate-specific antigen testing programme followed by a randomised trial of treatment, with a comprehensive cohort follow-up. SETTING Prostate-specific antigen testing in primary care and treatment in nine urology departments in the UK. PARTICIPANTS Between 2001 and 2009, 228,966 men aged 50-69 years received an invitation to attend an appointment for information about the Prostate testing for cancer and Treatment (ProtecT) study and a prostate-specific antigen test; 82,429 men were tested, 2664 were diagnosed with localised prostate cancer, 1643 agreed to randomisation to active monitoring (n = 545), radical prostatectomy (n = 553) or radical radiotherapy (n = 545) and 997 chose a treatment. INTERVENTIONS The interventions were active monitoring, radical prostatectomy and radical radiotherapy. TRIAL PRIMARY OUTCOME MEASURE Definite or probable disease-specific mortality at the 10-year median follow-up in randomised participants. SECONDARY OUTCOME MEASURES Overall mortality, metastases, disease progression, treatment complications, resource utilisation and patient-reported outcomes. RESULTS There were no statistically significant differences between the groups for 17 prostate cancer-specific (p = 0.48) and 169 all-cause (p = 0.87) deaths. Eight men died of prostate cancer in the active monitoring group (1.5 per 1000 person-years, 95% confidence interval 0.7 to 3.0); five died of prostate cancer in the radical prostatectomy group (0.9 per 1000 person-years, 95% confidence interval 0.4 to 2.2 per 1000 person years) and four died of prostate cancer in the radical radiotherapy group (0.7 per 1000 person-years, 95% confidence interval 0.3 to 2.0 per 1000 person years). More men developed metastases in the active monitoring group than in the radical prostatectomy and radical radiotherapy groups: active monitoring, n = 33 (6.3 per 1000 person-years, 95% confidence interval 4.5 to 8.8); radical prostatectomy, n = 13 (2.4 per 1000 person-years, 95% confidence interval 1.4 to 4.2 per 1000 person years); and radical radiotherapy, n = 16 (3.0 per 1000 person-years, 95% confidence interval 1.9 to 4.9 per 1000 person-years; p = 0.004). There were higher rates of disease progression in the active monitoring group than in the radical prostatectomy and radical radiotherapy groups: active monitoring (n = 112; 22.9 per 1000 person-years, 95% confidence interval 19.0 to 27.5 per 1000 person years); radical prostatectomy (n = 46; 8.9 per 1000 person-years, 95% confidence interval 6.7 to 11.9 per 1000 person-years); and radical radiotherapy (n = 46; 9.0 per 1000 person-years, 95% confidence interval 6.7 to 12.0 per 1000 person years; p < 0.001). Radical prostatectomy had the greatest impact on sexual function/urinary continence and remained worse than radical radiotherapy and active monitoring. Radical radiotherapy's impact on sexual function was greatest at 6 months, but recovered somewhat in the majority of participants. Sexual and urinary function gradually declined in the active monitoring group. Bowel function was worse with radical radiotherapy at 6 months, but it recovered with the exception of bloody stools. Urinary voiding and nocturia worsened in the radical radiotherapy group at 6 months but recovered. Condition-specific quality-of-life effects mirrored functional changes. No differences in anxiety/depression or generic or cancer-related quality of life were found. At the National Institute for Health and Care Excellence threshold of £20,000 per quality-adjusted life-year, the probabilities that each arm was the most cost-effective option were 58% (radical radiotherapy), 32% (active monitoring) and 10% (radical prostatectomy). LIMITATIONS A single prostate-specific antigen test and transrectal ultrasound biopsies were used. There were very few non-white men in the trial. The majority of men had low- and intermediate-risk disease. Longer follow-up is needed. CONCLUSIONS At a median follow-up point of 10 years, prostate cancer-specific mortality was low, irrespective of the assigned treatment. Radical prostatectomy and radical radiotherapy reduced disease progression and metastases, but with side effects. Further work is needed to follow up participants at a median of 15 years. TRIAL REGISTRATION Current Controlled Trials ISRCTN20141297. FUNDING This project was funded by the National Institute for Health Research Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 24, No. 37. See the National Institute for Health Research Journals Library website for further project information.
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Affiliation(s)
- Freddie C Hamdy
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
| | | | - J Athene Lane
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Malcolm Mason
- School of Medicine, University of Cardiff, Cardiff, UK
| | - Chris Metcalfe
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Peter Holding
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
| | - Julia Wade
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Sian Noble
- Bristol Medical School, University of Bristol, Bristol, UK
| | | | - Grace Young
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Michael Davis
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Tim J Peters
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Emma L Turner
- Bristol Medical School, University of Bristol, Bristol, UK
| | | | - Jon Oxley
- Department of Cellular Pathology, North Bristol NHS Trust, Bristol, UK
| | - Mary Robinson
- Department of Cellular Pathology, Royal Victoria Infirmary, Newcastle upon Tyne, UK
| | - John Staffurth
- Division of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, UK
| | - Eleanor Walsh
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Jane Blazeby
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Richard Bryant
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
| | - Prasad Bollina
- Department of Urology and Surgery, Western General Hospital, University of Edinburgh, Edinburgh, UK
| | - James Catto
- Academic Urology Unit, University of Sheffield, Sheffield, UK
| | - Andrew Doble
- Department of Urology, Addenbrooke's Hospital, Cambridge, UK
| | - Alan Doherty
- Department of Urology, Queen Elizabeth Hospital, Birmingham, UK
| | - David Gillatt
- Department of Urology, Southmead Hospital and Bristol Urological Institute, Bristol, UK
| | | | - Owen Hughes
- Department of Urology, Cardiff and Vale University Health Board, Cardiff, UK
| | - Roger Kockelbergh
- Department of Urology, University Hospitals of Leicester, Leicester, UK
| | - Howard Kynaston
- Department of Urology, Cardiff and Vale University Health Board, Cardiff, UK
| | - Alan Paul
- Department of Urology, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Edgar Paez
- Department of Urology, Freeman Hospital, Newcastle upon Tyne, UK
| | - Philip Powell
- Department of Urology, Freeman Hospital, Newcastle upon Tyne, UK
| | - Stephen Prescott
- Department of Urology, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Derek Rosario
- Academic Urology Unit, University of Sheffield, Sheffield, UK
| | - Edward Rowe
- Department of Urology, Southmead Hospital and Bristol Urological Institute, Bristol, UK
| | - David Neal
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
- Academic Urology Group, University of Cambridge, Cambridge, UK
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50
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Rethinking prostate cancer screening: could MRI be an alternative screening test? Nat Rev Urol 2020; 17:526-539. [PMID: 32694594 DOI: 10.1038/s41585-020-0356-2] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/17/2020] [Indexed: 12/14/2022]
Abstract
In the past decade rigorous debate has taken place about population-based screening for prostate cancer. Although screening by serum PSA levels can reduce prostate cancer-specific mortality, it is unclear whether the benefits outweigh the risks of false-positive results and overdiagnosis of insignificant prostate cancer, and it is not recommended for population-based screening. MRI screening for prostate cancer has the potential to be analogous to mammography for breast cancer or low-dose CT for lung cancer. A number of potential barriers and technical challenges need to be overcome in order to implement such a programme. We discuss different approaches to MRI screening that could address these challenges, including abbreviated MRI protocols, targeted MRI screening, longer rescreening intervals and a multi-modal screening pathway. These approaches need further investigation, and we propose a phased stepwise research framework to ensure proper evaluation of the use of a fast MRI examination as a screening test for prostate cancer.
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