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Cassin J, Walker PM, Blanc J, Asuncion A, Bardet F, Cormier L, Loffroy R, Cochet A. Role of magnetic resonance imaging for preoperative prediction of early biochemical failure in localized prostate cancer. Quant Imaging Med Surg 2023; 13:1440-1452. [PMID: 36915312 PMCID: PMC10006114 DOI: 10.21037/qims-22-472] [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: 05/15/2022] [Accepted: 11/02/2022] [Indexed: 01/09/2023]
Abstract
Background The purpose of our study was to assess preoperative clinical biological and Magnetic Resonance Imaging (MRI) predictive factors of early biochemical failure (BF), defined as persistence of significant post-operative plasmatic prostate specific antigen (PSA) level after radical prostatectomy (RP) in patients with localized prostate cancer (PCa). Methods In a retrospective cohort study we included 142 patients from our university hospital with newly diagnosed PCa, who underwent 3T multiparametric MRI prior to RP. Only the MRI target lesions [Prostate Imaging Reporting and Data System (PIRADS) ≥3] with histological correspondence were considered significant. Clinical, biological, MRI and pathological preoperative data were studied. We performed univariate and multivariate logistic regression analysis to identify significant parameters associated with early BF. Results Early BF occurred in 14% of patients (20/142). Patients with BF had higher PSA level at diagnosis, Gleason score, number of positive biopsies, size of the largest positive biopsy and higher National Comprehensive Cancer Network (NCCN) risk score (P<0.001 for all). According to MRI, they also had higher T stage and a higher size of capsular contact (P<0.001 for all). In contrast, there was no difference concerning neither ADC value, perfusion profile and zonal location of the index lesion. In multivariate analysis, the best combination of predictive factors of early BF was the association of preoperative Gleason score ≥4+3 [odds ratio (OR) =6.8 (1.4-32.5); P=0.002] and T stage ≥3 on preoperative MRI [OR =17.4 (3.2-94.9); P<0.001] with an area under the curve (AUC) of 0.89 [99% confidence interval (CI): 0.77-1], a negative predictive value of 94% and a positive predictive value of 75%. Conclusions Combination of simple preoperative biomarkers as Gleason score and T stage according to MRI accurately stratify the risk of early BF following RP. These results emphasize the pivotal role of preoperative MRI for the management of localized PCa.
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Affiliation(s)
- Jeremy Cassin
- Department of Vascular & Interventional Radiology, University Hospital of Dijon, Dijon, France
| | - Paul Michael Walker
- Department of Magnetic Resonance Spectroscopy, University Hospital of Dijon, Dijon, France.,ImVIA, EA7535, University of Burgundy, Dijon, France
| | - Julie Blanc
- Department of Statistics, Centre Georges-François Leclerc, Dijon, France
| | - Audrey Asuncion
- Department of Vascular & Interventional Radiology, University Hospital of Dijon, Dijon, France
| | - Florian Bardet
- Department of Urology, University Hospital of Dijon, Dijon, France
| | - Luc Cormier
- Department of Urology, University Hospital of Dijon, Dijon, France
| | - Romaric Loffroy
- Department of Vascular & Interventional Radiology, University Hospital of Dijon, Dijon, France.,ImVIA, EA7535, University of Burgundy, Dijon, France
| | - Alexandre Cochet
- Department of Magnetic Resonance Spectroscopy, University Hospital of Dijon, Dijon, France.,ImVIA, EA7535, University of Burgundy, Dijon, France
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Deal M, Bardet F, Walker PM, de la Vega MF, Cochet A, Cormier L, Bentellis I, Loffroy R. Three-dimensional nuclear magnetic resonance spectroscopy: a complementary tool to multiparametric magnetic resonance imaging in the identification of aggressive prostate cancer at 3.0T. Quant Imaging Med Surg 2021; 11:3749-3766. [PMID: 34341747 DOI: 10.21037/qims-21-331] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 04/13/2021] [Indexed: 12/12/2022]
Abstract
Background The limitations of the assessment of tumor aggressiveness by Prostate Imaging Reporting and Data System (PI-RADS) and biopsies suggest that the diagnostic algorithm could be improved by quantitative measurements in some chosen indications. We assessed the tumor high-risk predictive performance of 3.0 Tesla (3.0T) multiparametric magnetic resonance imaging (mp-MRI) combined with nuclear magnetic resonance spectroscopic sequences (NMR-S) in order to show that the metabolic analysis could bring out an evocative result for the aggressive form of prostate cancer. Methods We conducted a retrospective study of 26 patients (mean age, 62.4 years) who had surgery for prostate cancer between 2009 and 2016 after pre-therapeutic assessment with 3.0T mp-MRI and NMR-S. Groups within the intermediate range of the D'Amico risk classification were divided into two categories, low risk (n=20) and high risk (n=6), according to the International Society of Urological Pathology (ISUP) 2-3 limit. Histoprognostic discordances within various risk groups were compared with the corresponding predictive MRI values. The performance of predictive models was assessed based on sensitivity, specificity, and the area under the curve (AUC) of receiver operating characteristic (ROC) curves. Results After prostatectomy, histological analysis reclassified 18 patients as high-risk, including 16 who were T3 MRI grade, of whom 13 (81.3%) were found to be pT3. Among the patients who had cT1 or cT2 digital rectal examinations, the T3 MRI factor multiplied by 8.7 [odds ratio (OR), 8.7; 95% confidence interval (CI), 1.3-56.2; P=0.024] the relative risk of being pT3 and by 5.8 (OR, 5.8; 95% CI, 0.95-35.7; P=0.05) the relative risk of being pGleason (pGS) > GS-prostate biopsy. Spectroscopic data showed that the choline concentration was significantly higher (P=0.001) in aggressive disease. Conclusions The predictive model of tumor aggressiveness combining mp-MRI plus NMR-S was better than the mp-MRI model alone (AUC, 0.95 vs. 0.86). Information obtained by mp-MRI coupled with spectroscopy may improve the detection of occult aggressive disease, helping in the discrimination of intermediate risks.
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Affiliation(s)
- Michael Deal
- Department of Urology and Andrology, Arnault Tzanck Private Institute, Mougins Sophia-Antipolis, Mougins Cedex, France.,Department of Urology and Andrology, François-Mitterrand University Hospital, Dijon, France
| | - Florian Bardet
- Department of Urology and Andrology, François-Mitterrand University Hospital, Dijon, France
| | - Paul-Michael Walker
- Department of Spectroscopy and Nuclear Magnetic Resonance, François-Mitterrand University Hospital, Dijon, France.,ImViA Laboratory, EA-7535, Training and Research Unit in Health Sciences, University of Bourgogne/Franche-Comté, Dijon, France
| | | | - Alexandre Cochet
- Department of Spectroscopy and Nuclear Magnetic Resonance, François-Mitterrand University Hospital, Dijon, France.,ImViA Laboratory, EA-7535, Training and Research Unit in Health Sciences, University of Bourgogne/Franche-Comté, Dijon, France
| | - Luc Cormier
- Department of Urology and Andrology, François-Mitterrand University Hospital, Dijon, France
| | - Imad Bentellis
- Department of Urology and Andrology, Sophia Antipolis University Hospital, Nice, France
| | - Romaric Loffroy
- ImViA Laboratory, EA-7535, Training and Research Unit in Health Sciences, University of Bourgogne/Franche-Comté, Dijon, France.,Department of Radiology and Medical Imaging, François-Mitterrand University Hospital, Dijon, France
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Wang X, Liu W, Lei Y, Wu G, Lin F. Assessment of prostate imaging reporting and data system version 2.1 false-positive category 4 and 5 lesions in clinically significant prostate cancer. Abdom Radiol (NY) 2021; 46:3410-3417. [PMID: 33710384 DOI: 10.1007/s00261-021-03023-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2020] [Revised: 02/17/2021] [Accepted: 02/25/2021] [Indexed: 12/26/2022]
Abstract
PURPOSE To determine the incidence and false-positive rates of clinically significant prostate cancer (CSPC) in prostate imaging reporting and data system (PI-RADS) category 4 and 5 lesions using PI-RADS v2.1. METHODS One hundred and eighty-two lesions in 169 subjects with a PI-RADS score of 4 or 5 were included in our study. Lesions with clinically insignificant prostate cancer (CIPC) or benign pathologic findings were reviewed and categorized by a radiologist. The initial comparison of demographic and clinical data was performed by t-test and χ2 test, and then the logistic regression model was used to determine factors associated with CIPC or benign pathological findings. RESULTS Of the 182 PI-RADS category 4 and 5 lesions, 84.6% (154/182) were prostate cancer (PCa), 73.1% (133/182) were CSPC, and 26.9% (49/182) were CIPC or benign pathologic findings. The false-positive cases included 44.9% (22/49) with inflammation, 42.9% (21/49) with CIPC, 8.2% (4/49) with BPH nodules and 4.1% (2/49) with normal anatomy cases. In multivariate analysis, factors associated with CIPC or benign features included those in both the peripheral zone (PZ) and central gland (CG) (odds ratio [OR] 0.062; p = 0.003) and a low prostate-specific antigen density (PSAD) (OR 0.34; p = 0.012). CONCLUSION The integration of clinical information (PSAD and lesion location) into mpMRI to identify lesions helps with obtaining a clinically significant diagnosis and decision-making.
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Affiliation(s)
- Xiangyu Wang
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, 3002 SunGangXi Road, Shenzhen, 518035, China
| | - Weizong Liu
- Department of Ultrasonography, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, 3002 SunGangXi Road, Shenzhen, 518035, China
| | - Yi Lei
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, 3002 SunGangXi Road, Shenzhen, 518035, China
| | - Guangyao Wu
- Department of Radiology, Shenzhen University General Hospital, 1098 XueYuan Road, Shenzhen, 518055, China.
| | - Fan Lin
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, 3002 SunGangXi Road, Shenzhen, 518035, China.
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Locally advanced prostate cancer imaging findings and implications for treatment from the surgical perspective. Abdom Radiol (NY) 2020; 45:865-877. [PMID: 31724081 DOI: 10.1007/s00261-019-02318-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The anatomy of the prostate is reviewed in the context of discussing the staging of prostate cancer and patterns of tumor spread. The utility of prostate magnetic resonance imaging along with new advancements in tumor staging are discussed specifically in locally advanced disease. What should be included in the radiology report carries a substantial weight to formulate the urologist's decision in regards to the selection of surgical candidates, preoperative planning and avoiding postoperative complications.
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Demirel HC, Davis JW. Multiparametric magnetic resonance imaging: Overview of the technique, clinical applications in prostate biopsy and future directions. Turk J Urol 2018; 44:93-102. [PMID: 29511576 PMCID: PMC5832385 DOI: 10.5152/tud.2018.56056] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2018] [Accepted: 02/08/2018] [Indexed: 12/23/2022]
Abstract
Multiparametric magnetic resonance imaging (mpMRI) has managed to change the paradigms on prostate cancer detection and risk classification. The most clear-cut indication of mpMRI in guidelines is the patients with a history of negative biopsy/increasing prostate-specific antigen (PSA), and presence of additional findings supporting its use in non biopsied patients and active surveillance. mpMRI complements standard clinical exam, PSA measurements, and systematic biopsy, and will miss some tumors that lack enough size or change in tissue density. Use of mpMRI is likely to increase, and further developments in the technique will be important for safe adoption of focal therapy concepts. Here we present a brief summary about mpMRI and its use in detection, risk classification and follow-up of prostate cancer.
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Fusco R, Sansone M, Granata V, Setola SV, Petrillo A. A systematic review on multiparametric MR imaging in prostate cancer detection. Infect Agent Cancer 2017; 12:57. [PMID: 29093748 PMCID: PMC5663098 DOI: 10.1186/s13027-017-0168-z] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2017] [Accepted: 10/23/2017] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Literature data suggest that multi-parametric Magnetic Resonance Imaging (MRI), including morphologic T2-weigthed images (T2-MRI) and functional approaches such as Dynamic Contrast Enhanced-MRI (DCE-MRI), Diffusion Weighted Imaging (DWI) and Magnetic Resonance Spectroscopic Imaging (MRSI), give an added value in the prostate cancer localization and local staging. METHODS We performed a systematic review of literature about the role and the potentiality of morphological and functional MRI in prostate cancer, also in a multimodal / multiparametric approach, and we reported the diagnostic accuracy results for different imaging modalities and for different MR coil settings: endorectal coil (ERC) and phased array coil (PAC). Forest plots and receiver operating characteristic curves were performed. Risk of bias and the applicability at study level were calculated. RESULTS Thirty three papers were identified for the systematic review. Sensitivity and specificity values were, respectively, for T2-MRI of 75% and of 60%, for DCE-MRI of 80% and of 72%, for MRSI of 89% and of 69%, for combined T2-MRI and DCE-MRI of 87% and of 46%, for combined T2-MRI and MRSI of 79% and of 57%, for combined T2-MRI, DWI and DCE-MRI of 81% and of 84%, and for combined MRSI and DCE-MRI of 83% and of 83%. For MRI studies performed with ERC we obtained a pooled sensitivity and specificity of 81% and of 66% while the pooled values for MRI studies performed with PAC were of 78% and of 64%, respectively (p>0.05 at McNemar test). No studies were excluded from the analysis based on the quality assessment. CONCLUSIONS ERC use yielded no additional benefit in terms of prostate cancer detection accuracy compared to multi-channel PAC use (71% versus 68%) while the use of additional functional imaging techniques (DCE-MRI, DWI and MRSI) in a multiparametric MRI protocol improves the accuracy of prostate cancer detection allowing both the early cure and the guidance of biopsy.
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Affiliation(s)
- Roberta Fusco
- Radiology Unit, “Dipartimento di supporto ai percorsi oncologici Area Diagnostica, Istituto Nazionale Tumori - IRCCS - Fondazione G. Pascale”, Via Mariano Semmola, Naples, Italy
| | - Mario Sansone
- Department of Electrical Engineering and Information Technologies, University “Federico II” of Naples, Via Claudio, Naples, Italy
| | - Vincenza Granata
- Radiology Unit, “Dipartimento di supporto ai percorsi oncologici Area Diagnostica, Istituto Nazionale Tumori - IRCCS - Fondazione G. Pascale”, Via Mariano Semmola, Naples, Italy
| | - Sergio Venanzio Setola
- Radiology Unit, “Dipartimento di supporto ai percorsi oncologici Area Diagnostica, Istituto Nazionale Tumori - IRCCS - Fondazione G. Pascale”, Via Mariano Semmola, Naples, Italy
| | - Antonella Petrillo
- Radiology Unit, “Dipartimento di supporto ai percorsi oncologici Area Diagnostica, Istituto Nazionale Tumori - IRCCS - Fondazione G. Pascale”, Via Mariano Semmola, Naples, Italy
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7
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Braadland PR, Giskeødegård G, Sandsmark E, Bertilsson H, Euceda LR, Hansen AF, Guldvik IJ, Selnæs KM, Grytli HH, Katz B, Svindland A, Bathen TF, Eri LM, Nygård S, Berge V, Taskén KA, Tessem MB. Ex vivo metabolic fingerprinting identifies biomarkers predictive of prostate cancer recurrence following radical prostatectomy. Br J Cancer 2017; 117:1656-1664. [PMID: 28972967 PMCID: PMC5729443 DOI: 10.1038/bjc.2017.346] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2017] [Revised: 08/18/2017] [Accepted: 09/01/2017] [Indexed: 12/21/2022] Open
Abstract
Background: Robust biomarkers that identify prostate cancer patients with high risk of recurrence will improve personalised cancer care. In this study, we investigated whether tissue metabolites detectable by high-resolution magic angle spinning magnetic resonance spectroscopy (HR-MAS MRS) were associated with recurrence following radical prostatectomy. Methods: We performed a retrospective ex vivo study using HR-MAS MRS on tissue samples from 110 radical prostatectomy specimens obtained from three different Norwegian cohorts collected between 2002 and 2010. At the time of analysis, 50 patients had experienced prostate cancer recurrence. Associations between metabolites, clinicopathological variables, and recurrence-free survival were evaluated using Cox proportional hazards regression modelling, Kaplan–Meier survival analyses and concordance index (C-index). Results: High intratumoural spermine and citrate concentrations were associated with longer recurrence-free survival, whereas high (total-choline+creatine)/spermine (tChoCre/Spm) and higher (total-choline+creatine)/citrate (tChoCre/Cit) ratios were associated with shorter time to recurrence. Spermine concentration and tChoCre/Spm were independently associated with recurrence in multivariate Cox proportional hazards modelling after adjusting for clinically relevant risk factors (C-index: 0.769; HR: 0.72; P=0.016 and C-index: 0.765; HR: 1.43; P=0.014, respectively). Conclusions: Spermine concentration and tChoCre/Spm ratio in prostatectomy specimens were independent prognostic markers of recurrence. These metabolites can be noninvasively measured in vivo and may thus offer predictive value to establish preoperative risk assessment nomograms.
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Affiliation(s)
- Peder R Braadland
- Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, PO Box 4953 Nydalen, Oslo 0424, Norway.,Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo 0313, Norway
| | - Guro Giskeødegård
- Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, NTNU - Norwegian University of Science and Technology, Postboks 8905, Trondheim 7491, Norway
| | - Elise Sandsmark
- Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, NTNU - Norwegian University of Science and Technology, Postboks 8905, Trondheim 7491, Norway
| | - Helena Bertilsson
- St Olavs Hospital, Trondheim University Hospital, Trondheim 7030, Norway.,Department of Cancer Research and Molecular Medicine, Faculty of Medicine, NTNU - Norwegian University of Science and Technology, Trondheim 7491, Norway
| | - Leslie R Euceda
- Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, NTNU - Norwegian University of Science and Technology, Postboks 8905, Trondheim 7491, Norway
| | - Ailin F Hansen
- Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, NTNU - Norwegian University of Science and Technology, Postboks 8905, Trondheim 7491, Norway
| | - Ingrid J Guldvik
- Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, PO Box 4953 Nydalen, Oslo 0424, Norway
| | - Kirsten M Selnæs
- Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, NTNU - Norwegian University of Science and Technology, Postboks 8905, Trondheim 7491, Norway
| | - Helene H Grytli
- Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, PO Box 4953 Nydalen, Oslo 0424, Norway
| | - Betina Katz
- Department of Pathology, Oslo University Hospital, Oslo 0424, Norway
| | - Aud Svindland
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo 0313, Norway.,Department of Pathology, Oslo University Hospital, Oslo 0424, Norway
| | - Tone F Bathen
- Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, NTNU - Norwegian University of Science and Technology, Postboks 8905, Trondheim 7491, Norway
| | - Lars M Eri
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo 0313, Norway.,Department of Urology, Oslo University Hospital, Oslo 0424, Norway
| | - Ståle Nygård
- Bioinformatics Core Facility, Institute for Medical Informatics, Oslo University Hospital, Oslo 0424, Norway
| | - Viktor Berge
- Department of Urology, Oslo University Hospital, Oslo 0424, Norway
| | - Kristin A Taskén
- Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, PO Box 4953 Nydalen, Oslo 0424, Norway.,Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo 0313, Norway
| | - May-Britt Tessem
- Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, NTNU - Norwegian University of Science and Technology, Postboks 8905, Trondheim 7491, Norway
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8
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Lake ST, Greene KL, Westphalen AC, Behr SC, Zagoria R, Small EJ, Carroll PR, Hope TA. Optimal MRI sequences for 68Ga-PSMA-11 PET/MRI in evaluation of biochemically recurrent prostate cancer. EJNMMI Res 2017; 7:77. [PMID: 28929350 PMCID: PMC5605480 DOI: 10.1186/s13550-017-0327-7] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2017] [Accepted: 09/13/2017] [Indexed: 01/07/2023] Open
Abstract
Background PET/MRI can be used for the detection of disease in biochemical recurrence (BCR) patients imaged with 68Ga-PSMA-11 PET. This study was designed to determine the optimal MRI sequences to localize positive findings on 68Ga-PSMA-11 PET of patients with BCR after definitive therapy. Fifty-five consecutive prostate cancer patients with BCR imaged with 68Ga-PSMA-11 3.0T PET/MRI were retrospectively analyzed. Mean PSA was 7.9 ± 12.9 ng/ml, and mean PSA doubling time was 7.1 ± 6.6 months. Detection rates of anatomic correlates for prostate-specific membrane antigen (PSMA)-positive foci were evaluated on small field of view (FOV) T2, T1 post-contrast, and diffusion-weighted images. For prostate bed recurrences, the detection rate of dynamic contrast-enhanced (DCE) imaging for PSMA-positive foci was evaluated. Finally, the detection sensitivity for PSMA-avid foci on 3- and 8-min PET acquisitions was compared. Results PSMA-positive foci were detected in 89.1% (49/55) of patients evaluated. Small FOV T2 performed best for lymph nodes and detected correlates for all PSMA-avid lymph nodes. DCE imaging performed the best for suspected prostate bed recurrence, detecting correlates for 87.5% (14/16) of PSMA-positive prostate bed foci. The 8-min PET acquisition performed better than the 3-min acquisition for lymph nodes smaller than 1 cm, detecting 100% (57/57) of lymph nodes less than 1 cm, compared to 78.9% (45/57) for the 3-min acquisition. Conclusion PSMA PET/MRI performed well for the detection of sites of suspected recurrent disease in patients with BCR. Of the MRI sequences obtained for localization, small FOV T2 images detected the greatest proportion of PSMA-positive abdominopelvic lymph nodes and DCE imaging detected the greatest proportion of PSMA-positive prostate bed foci. The 8-min PET acquisition was superior to the 3 min acquisition for detection of small lymph nodes.
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Affiliation(s)
- Spencer T Lake
- Department of Radiology and Biomedical Imaging, University of California, 505 Parnassus Avenue - 0628, San Francisco, CA, 94143-0628, USA
| | - Kirsten L Greene
- Department of Urology, University of California, 1825 4th Street, 4th floor, UCSF Ron Conway Family Gateway Medical Building, San Francisco, CA, 94158, USA
| | - Antonio C Westphalen
- Department of Radiology and Biomedical Imaging, University of California, 505 Parnassus Avenue - 0628, San Francisco, CA, 94143-0628, USA.,Department of Urology, University of California, 1825 4th Street, 4th floor, UCSF Ron Conway Family Gateway Medical Building, San Francisco, CA, 94158, USA.,UCSF Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Spencer C Behr
- Department of Radiology and Biomedical Imaging, University of California, 505 Parnassus Avenue - 0628, San Francisco, CA, 94143-0628, USA
| | - Ronald Zagoria
- Department of Radiology and Biomedical Imaging, University of California, 505 Parnassus Avenue - 0628, San Francisco, CA, 94143-0628, USA
| | - Eric J Small
- UCSF Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA.,Division of Hematology/Oncology, Department of Medicine, University of California, 505 Parnassus Avenue, Box 1711, San Francisco, CA, 94143-1711, USA
| | - Peter R Carroll
- Department of Urology, University of California, 1825 4th Street, 4th floor, UCSF Ron Conway Family Gateway Medical Building, San Francisco, CA, 94158, USA.,Division of Hematology/Oncology, Department of Medicine, University of California, 505 Parnassus Avenue, Box 1711, San Francisco, CA, 94143-1711, USA
| | - Thomas A Hope
- Department of Radiology and Biomedical Imaging, University of California, 505 Parnassus Avenue - 0628, San Francisco, CA, 94143-0628, USA. .,UCSF Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA. .,Department of Radiology, San Francisco VA Medical Center, 4150 Clement Street, San Francisco, 94121, CA, USA.
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9
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Couñago F, Sancho G, Catalá V, Hernández D, Recio M, Montemuiño S, Hernández JA, Maldonado A, del Cerro E. Magnetic resonance imaging for prostate cancer before radical and salvage radiotherapy: What radiation oncologists need to know. World J Clin Oncol 2017; 8:305-319. [PMID: 28848697 PMCID: PMC5554874 DOI: 10.5306/wjco.v8.i4.305] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2017] [Revised: 03/30/2017] [Accepted: 06/12/2017] [Indexed: 02/06/2023] Open
Abstract
External beam radiotherapy (EBRT) is one of the principal curative treatments for patients with prostate cancer (PCa). Risk group classification is based on prostate-specific antigen (PSA) level, Gleason score, and T-stage. After risk group determination, the treatment volume and dose are defined and androgen deprivation therapy is prescribed, if appropriate. Traditionally, imaging has played only a minor role in T-staging due to the low diagnostic accuracy of conventional imaging strategies such as transrectal ultrasound, computed tomography, and morphologic magnetic resonance imaging (MRI). As a result, a notable percentage of tumours are understaged, leading to inappropriate and imprecise EBRT. The development of multiparametric MRI (mpMRI), an imaging technique that combines morphologic studies with functional diffusion-weighted sequences and dynamic contrast-enhanced imaging, has revolutionized the diagnosis and management of PCa. As a result, mpMRI is now used in staging PCa prior to EBRT, with possible implications for both risk group classification and treatment decision-making for EBRT. mpMRI is also being used in salvage radiotherapy (SRT), the treatment of choice for patients who develop biochemical recurrence after radical prostatectomy. In the clinical context of biochemical relapse, it is essential to accurately determine the site of recurrence - pelvic (local, nodal, or bone) or distant - in order to select the optimal therapeutic management approach. Studies have demonstrated the value of mpMRI in detecting local recurrences - even in patients with low PSA levels (0.3-0.5 ng/mL) - and in diagnosing bone and nodal metastasis. The main objective of this review is to update the role of mpMRI prior to radical EBRT or SRT. We also consider future directions for the use and development of MRI in the field of radiation oncology.
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10
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Polanec SH, Andrzejewski P, Baltzer PAT, Helbich TH, Stiglbauer A, Georg D, Karanikas G, Susani M, Wadsak W, Margreiter M, Mitterhauser M, Brader P, Pinker K. Multiparametric [11C]Acetate positron emission tomography-magnetic resonance imaging in the assessment and staging of prostate cancer. PLoS One 2017; 12:e0180790. [PMID: 28719629 PMCID: PMC5515396 DOI: 10.1371/journal.pone.0180790] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2016] [Accepted: 06/21/2017] [Indexed: 02/06/2023] Open
Abstract
Background The aim of this study was to evaluate whether MP [11C]Acetate PET-MRI enables an accurate differentiation of benign and malignant prostate tumors as well as local and distant staging. Materials and methods Fifty-six consecutive patients fulfilling the following criteria were included in this IRB-approved prospective study: elevated PSA levels or suspicious findings at digital rectal examination or TRUS; and histopathological verification. All patients underwent MP [11C]Acetate PET-MRI of the prostate performed on separate scanners with PET/CT using [11C]Acetate and 3T MP MR imaging. Appropriate statistical tests were used to determine diagnostic accuracy, local and distant staging. Results MP imaging with two MRI parameters (T2w and DWI) achieved the highest sensitivity, specificity, and diagnostic accuracy of 95%, 68.8%, and 88%, with an AUC of 0.82 for primary PCa detection. Neither assessments with a single parameter (AUC, 0.54–0.79), nor different combinations with up to five parameters (AUC, 0.67–0.79) achieved equally good results. MP [11C]Acetate PET-MRI improved local staging with a sensitivity, specificity, and diagnostic accuracy of 100%, 96%, and 97% compared to MRI alone with 72.2%, 100%, and 95.5%. MP [11C]Acetate PET-MRI correctly detected osseous and liver metastases in five patients. Conclusions MP [11C]Acetate PET-MRI merges morphologic with functional information, and allows insights into tumor biology. MP [11C]Acetate PET-MRI with two MRI-derived parameters (T2 and DWI) yields the highest diagnostic accuracy. The addition of more parameters does not improve diagnostic accuracy of primary PCa detection. MP [11C]Acetate PET-MRI facilitates improved local and distant staging, providing “one-stop” staging in patients with primary PCa, and therefore has the potential to improve therapy. Patient summary In this report we investigated MP [11C]Acetate PET-MRI for detection, local and distant staging of prostate cancer. We demonstrate that MP [11C]Acetate PET-MRI with two MRI-derived parameters (T2 and DWI) achieves the best diagnostic accuracy for primary prostate cancer detection and that MP [11C]Acetate PET-MRI enables an improved local and distant staging.
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Affiliation(s)
- Stephan H. Polanec
- Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna, Vienna, Austria
- Christian Doppler Laboratory for Medical Radiation Research for Radiation Oncology, Medical University of Vienna, Vienna, Austria
| | - Piotr Andrzejewski
- Christian Doppler Laboratory for Medical Radiation Research for Radiation Oncology, Medical University of Vienna, Vienna, Austria
- Department of Radiation Oncology, Division of Medical Radiation Physics, Medical University of Vienna, Vienna, Austria
| | - Pascal A. T. Baltzer
- Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna, Vienna, Austria
- Christian Doppler Laboratory for Medical Radiation Research for Radiation Oncology, Medical University of Vienna, Vienna, Austria
| | - Thomas H. Helbich
- Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna, Vienna, Austria
| | - Alexander Stiglbauer
- Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna, Vienna, Austria
| | - Dietmar Georg
- Christian Doppler Laboratory for Medical Radiation Research for Radiation Oncology, Medical University of Vienna, Vienna, Austria
- Department of Radiation Oncology, Division of Medical Radiation Physics, Medical University of Vienna, Vienna, Austria
| | - Georgios Karanikas
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Martin Susani
- Clinical Institute of Pathology, Medical University of Vienna, Vienna, Austria
| | - Wolfgang Wadsak
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Markus Margreiter
- Department of Urology, Medical University of Vienna, Vienna, Austria
| | - Markus Mitterhauser
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Peter Brader
- Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna, Vienna, Austria
| | - Katja Pinker
- Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna, Vienna, Austria
- Christian Doppler Laboratory for Medical Radiation Research for Radiation Oncology, Medical University of Vienna, Vienna, Austria
- * E-mail:
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Magnetic resonance-ultrasound fusion prostate biopsy in the diagnosis of prostate cancer. Urol Oncol 2016; 34:326-32. [PMID: 27083114 DOI: 10.1016/j.urolonc.2016.03.005] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2016] [Revised: 03/10/2016] [Accepted: 03/11/2016] [Indexed: 11/21/2022]
Abstract
The advent of multiparametric magnetic resonance imaging (MRI) has ushered in a new era for urologists who perform prostate needle biopsies. The fusion of MRI with transrectal ultrasound (US) allows the direct targeting of suspicious lesions, which has been shown to improve the performance of conventional random biopsy techniques by increasing detection of clinically relevant disease while also decreasing detection of low-risk cancer. However, as with any new technology, many questions regarding effectiveness, reproducibility, and generalizability still remain. In this review, we (1) provide a summary of the various sequences that comprise a MRI of the prostate; (2) evaluate the 3 different ways of incorporating MRI into targeted biopsies of the prostate including in-bore MRI-guided biopsy, cognitive fusion, and device-mediated fusion; (3) review the sensitivity of MR-US fusion in the detection of clinically significant and clinically insignificant disease; and (4) review the barriers to the widespread implementation of MR-US fusion into everyday practice. Whereas other articles in this issue of Urologic Oncology Seminars will discuss other aspects of MRI in the management of prostate cancer, the purpose of this article is to provide an overview of MR-US fusion biopsies in the diagnosis of prostate cancer.
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12
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Liang W, Ni Y, Chen F. Tumor resistance to vascular disrupting agents: mechanisms, imaging, and solutions. Oncotarget 2016; 7:15444-59. [PMID: 26812886 PMCID: PMC4941252 DOI: 10.18632/oncotarget.6999] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2015] [Accepted: 01/14/2016] [Indexed: 01/04/2023] Open
Abstract
The emergence of vascular disrupting agents (VDAs) is a significant advance in the treatment of solid tumors. VDAs induce rapid and selective shutdown of tumor blood flow resulting in massive necrosis. However, a viable marginal tumor rim always remains after VDA treatment and is a major cause of recurrence. In this review, we discuss the mechanisms involved in the resistance of solid tumors to VDAs. Hypoxia, tumor-associated macrophages, and bone marrow-derived circulating endothelial progenitor cells all may contribute to resistance. Resistance can be monitored using magnetic resonance imaging markers. The various solutions proposed to manage tumor resistance to VDAs emphasize combining these agents with other approaches including antiangiogenic agents, chemotherapy, radiotherapy, radioimmunotherapy, and sequential dual-targeting internal radiotherapy.
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Affiliation(s)
- Wenjie Liang
- Department of Radiology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Yicheng Ni
- Radiology Section, University Hospitals, University of Leuven, Leuven, Belgium
| | - Feng Chen
- Department of Radiology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
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