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Patel KR, van der Heide UA, Kerkmeijer LGW, Schoots IG, Turkbey B, Citrin DE, Hall WA. Target Volume Optimization for Localized Prostate Cancer. Pract Radiat Oncol 2024:S1879-8500(24)00148-6. [PMID: 39019208 DOI: 10.1016/j.prro.2024.06.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 06/17/2024] [Accepted: 06/26/2024] [Indexed: 07/19/2024]
Abstract
PURPOSE To provide a comprehensive review of the means by which to optimize target volume definition for the purposes of treatment planning for patients with intact prostate cancer with a specific emphasis on focal boost volume definition. METHODS Here we conduct a narrative review of the available literature summarizing the current state of knowledge on optimizing target volume definition for the treatment of localized prostate cancer. RESULTS Historically, the treatment of prostate cancer included a uniform prescription dose administered to the entire prostate with or without coverage of all or part of the seminal vesicles. The development of prostate magnetic resonance imaging (MRI) and positron emission tomography (PET) using prostate-specific radiotracers has ushered in an era in which radiation oncologists are able to localize and focally dose-escalate high-risk volumes in the prostate gland. Recent phase 3 data has demonstrated that incorporating focal dose escalation to high-risk subvolumes of the prostate improves biochemical control without significantly increasing toxicity. Still, several fundamental questions remain regarding the optimal target volume definition and prescription strategy to implement this technique. Given the remaining uncertainty, a knowledge of the pathological correlates of radiographic findings and the anatomic patterns of tumor spread may help inform clinical judgement for the definition of clinical target volumes. CONCLUSION Advanced imaging has the ability to improve outcomes for patients with prostate cancer in multiple ways, including by enabling focal dose escalation to high-risk subvolumes. However, many questions remain regarding the optimal target volume definition and prescription strategy to implement this practice, and key knowledge gaps remain. A detailed understanding of the pathological correlates of radiographic findings and the patterns of local tumor spread may help inform clinical judgement for target volume definition given the current state of uncertainty.
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Affiliation(s)
- Krishnan R Patel
- Radiation Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
| | - Uulke A van der Heide
- Department of Radiation Oncology, The Netherlands Cancer Institute (NKI-AVL), Amsterdam, The Netherlands
| | - Linda G W Kerkmeijer
- Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Ivo G Schoots
- Department of Radiation Oncology, The Netherlands Cancer Institute (NKI-AVL), Amsterdam, The Netherlands
| | - Baris Turkbey
- Molecular Imaging Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Deborah E Citrin
- Radiation Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - William A Hall
- Froedtert and the Medical College of Wisconsin, Milwaukee, Wisconsin
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Fennell JT, Gkika E, Grosu AL. Molecular Imaging in Photon Radiotherapy. Recent Results Cancer Res 2020; 216:845-863. [PMID: 32594409 DOI: 10.1007/978-3-030-42618-7_27] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Nowadays, more than ever before, the treatment of cancer patients requires an interdisciplinary approach more than ever. Radiation therapy (RT) has become an indispensable pillar of cancer treatment early on, offering a local, curative treatment option and symptom control in palliative cases.
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Affiliation(s)
| | - Eleni Gkika
- Department of Radiation Oncology, University of Freiburg, Freiburg, Germany
| | - Anca L Grosu
- Department of Radiation Oncology, University of Freiburg, Freiburg, Germany.
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Zamboglou C, Eiber M, Fassbender TR, Eder M, Kirste S, Bock M, Schilling O, Reichel K, van der Heide UA, Grosu AL. Multimodal imaging for radiation therapy planning in patients with primary prostate cancer. Phys Imaging Radiat Oncol 2018; 8:8-16. [PMID: 33458410 PMCID: PMC7807571 DOI: 10.1016/j.phro.2018.10.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Revised: 10/22/2018] [Accepted: 10/23/2018] [Indexed: 12/22/2022] Open
Abstract
Implementation of advanced imaging techniques like multiparametric magnetic resonance imaging (mpMRI) or Positron Emission Tomography (PET) in radiation therapy (RT) planning of patients with primary prostate cancer demands several preconditions: accurate staging of the extraprostatic and intraprostatic tumor mass, robust delineation of the intraprostatic gross tumor volume (GTV) and a reproducible characterization of the prostate cancer's biological properties. In the current review we searched for the currently available imaging techniques and we discussed their ability to fulfill these preconditions. We found that current pretreatment imaging was mainly performed with mpMRI and/or Prostate-specific membrane antigen PET imaging. Both techniques offered an accurate detection of the extraprostatic and intraprostatic tumor burden and had a major impact on RT concepts. However, some studies postulated that mpMRI and PSMA PET had complementary information for intraprostatic GTV detection. Moreover, interobserver differences for intraprostatic tumor delineation based on mpMRI were observed. It is currently unclear whether PET based GTV delineation underlies also interobserver heterogeneity. Further research is warranted to answer whether multimodal imaging is able to visualize biological processes related to prostate cancer pathophysiology and radiation resistance.
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Affiliation(s)
- Constantinos Zamboglou
- Department of Radiation Oncology, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, Germany
- Berta-Ottenstein-Programme, Faculty of Medicine, University of Freiburg, Germany
| | - Matthias Eiber
- Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, Germany
| | - Thomas R. Fassbender
- Department of Nuclear Medicine, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Germany
| | - Matthias Eder
- Department of Nuclear Medicine, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Germany
| | - Simon Kirste
- Department of Radiation Oncology, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, Germany
| | - Michael Bock
- Division of Medical Physics, Department of Radiology, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, Germany
| | - Oliver Schilling
- Institute of Surgical Pathology, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, Germany
| | - Kathrin Reichel
- Department of Urology, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Germany
| | - Uulke A. van der Heide
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Anca L. Grosu
- Department of Radiation Oncology, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, Germany
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Stoyanova R, Pollack A, Takhar M, Lynne C, Parra N, Lam LLC, Alshalalfa M, Buerki C, Castillo R, Jorda M, Ashab HAD, Kryvenko ON, Punnen S, Parekh DJ, Abramowitz MC, Gillies RJ, Davicioni E, Erho N, Ishkanian A. Association of multiparametric MRI quantitative imaging features with prostate cancer gene expression in MRI-targeted prostate biopsies. Oncotarget 2018; 7:53362-53376. [PMID: 27438142 PMCID: PMC5288193 DOI: 10.18632/oncotarget.10523] [Citation(s) in RCA: 78] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2016] [Accepted: 06/30/2016] [Indexed: 01/06/2023] Open
Abstract
Standard clinicopathological variables are inadequate for optimal management of prostate cancer patients. While genomic classifiers have improved patient risk classification, the multifocality and heterogeneity of prostate cancer can confound pre-treatment assessment. The objective was to investigate the association of multiparametric (mp)MRI quantitative features with prostate cancer risk gene expression profiles in mpMRI-guided biopsies tissues.Global gene expression profiles were generated from 17 mpMRI-directed diagnostic prostate biopsies using an Affimetrix platform. Spatially distinct imaging areas ('habitats') were identified on MRI/3D-Ultrasound fusion. Radiomic features were extracted from biopsy regions and normal appearing tissues. We correlated 49 radiomic features with three clinically available gene signatures associated with adverse outcome. The signatures contain genes that are over-expressed in aggressive prostate cancers and genes that are under-expressed in aggressive prostate cancers. There were significant correlations between these genes and quantitative imaging features, indicating the presence of prostate cancer prognostic signal in the radiomic features. Strong associations were also found between the radiomic features and significantly expressed genes. Gene ontology analysis identified specific radiomic features associated with immune/inflammatory response, metabolism, cell and biological adhesion. To our knowledge, this is the first study to correlate radiogenomic parameters with prostate cancer in men with MRI-guided biopsy.
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Affiliation(s)
- Radka Stoyanova
- Department of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Alan Pollack
- Department of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Mandeep Takhar
- Reserach and Development, GenomeDx Biosciences, Vancouver, BC, Canada
| | - Charles Lynne
- Department of Urology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Nestor Parra
- Department of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Lucia L C Lam
- Reserach and Development, GenomeDx Biosciences, Vancouver, BC, Canada
| | | | - Christine Buerki
- Reserach and Development, GenomeDx Biosciences, Vancouver, BC, Canada
| | - Rosa Castillo
- Department of Radiology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Merce Jorda
- Department of Urology, University of Miami Miller School of Medicine, Miami, FL, USA.,Department of Pathology and Laboratory Medicine, University of Miami Miller School of Medicine, Miami, FL, USA
| | | | - Oleksandr N Kryvenko
- Department of Urology, University of Miami Miller School of Medicine, Miami, FL, USA.,Department of Pathology and Laboratory Medicine, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Sanoj Punnen
- Department of Urology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Dipen J Parekh
- Department of Urology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Matthew C Abramowitz
- Department of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Robert J Gillies
- Cancer Imaging and Metabolism, Moffitt Cancer Center, Tampa, FL, USA
| | - Elai Davicioni
- Reserach and Development, GenomeDx Biosciences, Vancouver, BC, Canada
| | - Nicholas Erho
- Reserach and Development, GenomeDx Biosciences, Vancouver, BC, Canada
| | - Adrian Ishkanian
- Department of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA
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Moldovan PC, Van den Broeck T, Sylvester R, Marconi L, Bellmunt J, van den Bergh RCN, Bolla M, Briers E, Cumberbatch MG, Fossati N, Gross T, Henry AM, Joniau S, van der Kwast TH, Matveev VB, van der Poel HG, De Santis M, Schoots IG, Wiegel T, Yuan CY, Cornford P, Mottet N, Lam TB, Rouvière O. What Is the Negative Predictive Value of Multiparametric Magnetic Resonance Imaging in Excluding Prostate Cancer at Biopsy? A Systematic Review and Meta-analysis from the European Association of Urology Prostate Cancer Guidelines Panel. Eur Urol 2017; 72:250-266. [PMID: 28336078 DOI: 10.1016/j.eururo.2017.02.026] [Citation(s) in RCA: 276] [Impact Index Per Article: 39.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2017] [Accepted: 02/16/2017] [Indexed: 11/16/2022]
Abstract
CONTEXT It remains unclear whether patients with a suspicion of prostate cancer (PCa) and negative multiparametric magnetic resonance imaging (mpMRI) can safely obviate prostate biopsy. OBJECTIVE To systematically review the literature assessing the negative predictive value (NPV) of mpMRI in patients with a suspicion of PCa. EVIDENCE ACQUISITION The Embase, Medline, and Cochrane databases were searched up to February 2016. Studies reporting prebiopsy mpMRI results using transrectal or transperineal biopsy as a reference standard were included. We further selected for meta-analysis studies with at least 10-core biopsies as the reference standard, mpMRI comprising at least T2-weighted and diffusion-weighted imaging, positive mpMRI defined as a Prostate Imaging Reporting Data System/Likert score of ≥3/5 or ≥4/5, and results reported at patient level for the detection of overall PCa or clinically significant PCa (csPCa) defined as Gleason ≥7 cancer. EVIDENCE SYNTHESIS A total of 48 studies (9613 patients) were eligible for inclusion. At patient level, the median prevalence was 50.4% (interquartile range [IQR], 36.4-57.7%) for overall cancer and 32.9% (IQR, 28.1-37.2%) for csPCa. The median mpMRI NPV was 82.4% (IQR, 69.0-92.4%) for overall cancer and 88.1% (IQR, 85.7-92.3) for csPCa. NPV significantly decreased when cancer prevalence increased, for overall cancer (r=-0.64, p<0.0001) and csPCa (r=-0.75, p=0.032). Eight studies fulfilled the inclusion criteria for meta-analysis. Seven reported results for overall PCa. When the overall PCa prevalence increased from 30% to 60%, the combined NPV estimates decreased from 88% (95% confidence interval [95% CI], 77-99%) to 67% (95% CI, 56-79%) for a cut-off score of 3/5. Only one study selected for meta-analysis reported results for Gleason ≥7 cancers, with a positive biopsy rate of 29.3%. The corresponding NPV for a cut-off score of ≥3/5 was 87.9%. CONCLUSIONS The NPV of mpMRI varied greatly depending on study design, cancer prevalence, and definitions of positive mpMRI and csPCa. As cancer prevalence was highly variable among series, risk stratification of patients should be the initial step before considering prebiopsy mpMRI and defining those in whom biopsy may be omitted when the mpMRI is negative. PATIENT SUMMARY This systematic review examined if multiparametric magnetic resonance imaging (MRI) scan can be used to reliably predict the absence of prostate cancer in patients suspected of having prostate cancer, thereby avoiding a prostate biopsy. The results suggest that whilst it is a promising tool, it is not accurate enough to replace prostate biopsy in such patients, mainly because its accuracy is variable and influenced by the prostate cancer risk. However, its performance can be enhanced if there were more accurate ways of determining the risk of having prostate cancer. When such tools are available, it should be possible to use an MRI scan to avoid biopsy in patients at a low risk of prostate cancer.
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Affiliation(s)
- Paul C Moldovan
- Hospices Civils de Lyon, Department of Urinary and Vascular Radiology, Hôpital Edouard Herriot, Lyon, France
| | - Thomas Van den Broeck
- Department of Urology, University Hospitals Leuven, Leuven, Belgium; Laboratory of Molecular Endocrinology, KU Leuven, Leuven, Belgium
| | - Richard Sylvester
- European Association of Urology Guidelines Office, Brussels, Belgium
| | - Lorenzo Marconi
- Department of Urology, Coimbra University Hospital, Coimbra, Portugal
| | - Joaquim Bellmunt
- Bladder Cancer Center, Dana-Farber Cancer Institute, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | | | - Michel Bolla
- Department of Radiation Therapy, CHU Grenoble, Grenoble, France
| | | | | | - Nicola Fossati
- Division of Oncology/Unit of Urology, IRCCS Ospedale San Raffaele, Vita-Salute San Raffaele University, Milan, Italy
| | - Tobias Gross
- Department of Urology, University of Bern, Inselspital, Bern, Switzerland
| | - Ann M Henry
- Leeds Cancer Centre, St. James's University Hospital and University of Leeds, Leeds, UK
| | - Steven Joniau
- Department of Urology, University Hospitals Leuven, Leuven, Belgium; Laboratory of Molecular Endocrinology, KU Leuven, Leuven, Belgium
| | | | | | - Henk G van der Poel
- Department of Urology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | | | - Ivo G Schoots
- Department of Radiology & Nuclear Medicine, Erasmus MCUniversity Medical Center, Rotterdam, The Netherlands; Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Thomas Wiegel
- Department of Radiation Oncology, University Hospital Ulm, Ulm, Germany
| | - Cathy Yuhong Yuan
- Division of Gastroenterology and Cochrane UGPD Group, Department of Medicine, Health Sciences Centre, McMaster University, Hamilton, Canada
| | - Philip Cornford
- Royal Liverpool and Broadgreen Hospitals NHS Trust, Liverpool, UK
| | - Nicolas Mottet
- Department of Urology, University Hospital, St. Etienne, France
| | - Thomas B Lam
- Academic Urology Unit, University of Aberdeen, Aberdeen, UK; Department of Urology, Aberdeen Royal Infirmary, Aberdeen, UK
| | - Olivier Rouvière
- Hospices Civils de Lyon, Department of Urinary and Vascular Radiology, Hôpital Edouard Herriot, Lyon, France; Université Lyon 1, faculté de médecine Lyon Est, Lyon, France.
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Computed Tomography Perfusion of Prostate Cancer: Diagnostic Value of Quantitative Analysis. J Comput Assist Tomogr 2016; 40:740-5. [PMID: 27224230 DOI: 10.1097/rct.0000000000000432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE The aim of the study was to assess the diagnostic value of computed tomography perfusion (CTp) of prostate in distinguishing between normal tissue and malignant lesion by using quantitative threshold values of CTp parameters. MATERIALS AND METHODS Sixty-one consecutive men with indication for radical prostatectomy were prospectively enrolled. All patients were intravenously injected with 80-mL bolus of nonionic iodinated contrast medium during cine-mode acquisition protocol. Perfusion data sets were analyzed by a dedicated software system and values for each of the 4 CTp parameters (blood volume, blood flow, mean transit time, and permeability surface-area product measurements) were recorded. Receiver operating characteristic curves were calculated to find which CTp parameter and which cutoff value might reveal the best diagnostic accuracy. Histopathology was used as reference standard. RESULTS Statistical correlation between radiological and pathological results was performed on 48 patients using 3456 segmented squares. Blood volume and permeability surface revealed the best diagnostic accuracy for differentiating between malignant and benign squares, with cutoff values of 6.1 and 16.5, respectively, and a sensitivity of 84.8% and 81.8%, respectively. All parameters showed also a high negative predictive value: 97.1% for blood volume and 95.4% for permeability surface. CONCLUSIONS Blood volume and permeability surface are the 2 CTp parameters with the highest diagnostic accuracy in differentiating between normal tissue and prostatic neoplasia. Due to the extremely high negative predictive value, they are particularly valuable in excluding the presence of cancer and thus resulting potentially useful in assessing cancer response to adjuvant therapy.
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Magnetic resonance imaging for prostate cancer radiotherapy. Phys Med 2016; 32:446-51. [PMID: 26858164 DOI: 10.1016/j.ejmp.2016.01.484] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2015] [Revised: 01/13/2016] [Accepted: 01/26/2016] [Indexed: 11/21/2022] Open
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Puech P, Sufana-Iancu A, Renard B, Lemaitre L. Prostate MRI: can we do without DCE sequences in 2013? Diagn Interv Imaging 2013; 94:1299-311. [PMID: 24211261 DOI: 10.1016/j.diii.2013.09.010] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Multiparametric MRI (mp-MRI) of the prostate currently provides stable and reproducible performances. The usefulness of dynamic contrast-enhanced (DCE) sequences is currently challenged, as they sometimes only confirm what has already been observed on diffusion-weighted imaging (DWI) and require the additional purchase of a contrast agent. Eliminating these sequences may help accelerate the use of MRI in addition to, or in lieu of, prostate biopsies in selected patients. However, many studies show that these sequences can detect lesions invisible on T2-weighted and diffusion-weighted images, better assess cancer extension and aggressiveness, and finally help detecting recurrence after treatment. We present the various applications of dynamic MRI and discuss the possible consequences of its omission from the current protocol.
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Affiliation(s)
- P Puech
- Department of Uroradiology, Lille Hospital, 1, rue Michel-Polonovski, 59037 Lille cedex, France; University of Lille Nord de France, Lille 59800, France; Inserm U703, 59120 Loos, France.
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Tree A, Jones C, Sohaib A, Khoo V, van As N. Prostate stereotactic body radiotherapy with simultaneous integrated boost: which is the best planning method? Radiat Oncol 2013; 8:228. [PMID: 24088319 PMCID: PMC3853231 DOI: 10.1186/1748-717x-8-228] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2013] [Accepted: 09/28/2013] [Indexed: 11/10/2022] Open
Abstract
Background The delivery of a simultaneous integrated boost to the intra-prostatic tumour nodule may improve local control. The ability to deliver such treatments with hypofractionated SBRT was attempted using RapidArc (Varian Medical systems, Palo Alto, CA) and Multiplan (Accuray inc, Sunnyvale, CA). Materials and methods 15 patients with dominant prostate nodules had RapidArc and Multiplan plans created using a 5 mm isotropic margin, except 3 mm posteriorly, aiming to deliver 47.5 Gy in 5 fractions to the boost whilst treating the whole prostate to 36.25 Gy in 5 fractions. An additional RapidArc plan was created using an 8 mm isotropic margin, except 5 mm posteriorly, to account for lack of intrafraction tracking. Results Both RapidArc and Multiplan can produce clinically acceptable boost plans to a dose of 47.5 Gy in 5 fractions. The mean rectal doses were lower for RapidArc plans (D50 13.2 Gy vs 15.5 Gy) but the number of missed constraints was the same for both planning methods (11/75). When the margin was increased to 8 mm/5 mm for the RapidArc plans to account for intrafraction motion, 37/75 constraints were missed. Conclusions RapidArc and Multiplan can produce clinically acceptable simultaneous integrated boost plans, but the mean rectal D50 and D20 with RapidArc are lower. If the margins are increased to account for intrafraction motion, the RapidArc plans exceed at least one dose constraint in 13/15 cases. Delivering a simultaneous boost with hypofractionation appears feasible, but requires small margins needing intrafraction motion tracking.
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Affiliation(s)
- Alison Tree
- Royal Marsden NHS Foundation Trust, Fulham Road, London SW3 6JJ, UK.
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10
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Perfusion MDCT of Prostate Cancer: Correlation of Perfusion CT Parameters and Immunohistochemical Markers of Angiogenesis. AJR Am J Roentgenol 2012; 199:1042-8. [DOI: 10.2214/ajr.11.8267] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
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11
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Overview of dynamic contrast-enhanced MRI in prostate cancer diagnosis and management. AJR Am J Roentgenol 2012; 198:1277-88. [PMID: 22623539 DOI: 10.2214/ajr.12.8510] [Citation(s) in RCA: 211] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
OBJECTIVE This article is a primer on the technical aspects of performing a high-quality dynamic contrast-enhanced MRI (DCE-MRI) examination of the prostate gland. CONCLUSION DCE-MRI is emerging as a useful clinical technique as part of a multi-parametric approach for evaluating the extent of primary and recurrent prostate cancer. Performing a high-quality DCE-MRI examination requires a good understanding of the technical aspects and limitations of image acquisition and postprocessing techniques.
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12
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Montelius M, Ljungberg M, Horn M, Forssell-Aronsson E. Tumour size measurement in a mouse model using high resolution MRI. BMC Med Imaging 2012; 12:12. [PMID: 22647088 PMCID: PMC3434048 DOI: 10.1186/1471-2342-12-12] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2011] [Accepted: 05/15/2012] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND Animal models are frequently used to assess new treatment methods in cancer research. MRI offers a non-invasive in vivo monitoring of tumour tissue and thus allows longitudinal measurements of treatment effects, without the need for large cohorts of animals. Tumour size is an important biomarker of the disease development, but to our knowledge, MRI based size measurements have not yet been verified for small tumours (10-2-10-1 g). The aim of this study was to assess the accuracy of MRI based tumour size measurements of small tumours on mice. METHODS 2D and 3D T2-weighted RARE images of tumour bearing mice were acquired in vivo using a 7 T dedicated animal MR system. For the 3D images the acquired image resolution was varied. The images were exported to a PC workstation where the tumour mass was determined assuming a density of 1 g/cm(3), using an in-house developed tool for segmentation and delineation. The resulting data were compared to the weight of the resected tumours after sacrifice of the animal using regression analysis. RESULTS Strong correlations were demonstrated between MRI- and necropsy determined masses. In general, 3D acquisition was not a prerequisite for high accuracy. However, it was slightly more accurate than 2D when small (<0.2 g) tumours were assessed for inter- and intraobserver variation. In 3D images, the voxel sizes could be increased from 1603 μm(3) to 2403 μm(3) without affecting the results significantly, thus reducing acquisition time substantially. CONCLUSIONS 2D MRI was sufficient for accurate tumour size measurement, except for small tumours (<0.2 g) where 3D acquisition was necessary to reduce interobserver variation. Acquisition times between 15 and 50 minutes, depending on tumour size, were sufficient for accurate tumour volume measurement. Hence, it is possible to include further MR investigations of the tumour, such as tissue perfusion, diffusion or metabolic composition in the same MR session.
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Affiliation(s)
- Mikael Montelius
- Department of Radiation Physics, Institute of Clinical Sciences, Sahlgrenska Cancer Centre, Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, SE-413 45, Sweden
| | - Maria Ljungberg
- Department of Radiation Physics, Institute of Clinical Sciences, Sahlgrenska Cancer Centre, Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, SE-413 45, Sweden
- Division of Medical Physics and Medical Engineering, Sahlgrenska University Hospital, Gothenburg, SE-413 45, Sweden
| | - Michael Horn
- Department of Radiation Physics, Institute of Clinical Sciences, Sahlgrenska Cancer Centre, Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, SE-413 45, Sweden
- Department of Radiology, University of Würzburg, Würzburg, Germany
| | - Eva Forssell-Aronsson
- Department of Radiation Physics, Institute of Clinical Sciences, Sahlgrenska Cancer Centre, Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, SE-413 45, Sweden
- Division of Medical Physics and Medical Engineering, Sahlgrenska University Hospital, Gothenburg, SE-413 45, Sweden
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Kumar V, Jagannathan NR, Thulkar S, Kumar R. Prebiopsy magnetic resonance spectroscopy and imaging in the diagnosis of prostate cancer. Int J Urol 2012; 19:602-13. [PMID: 22435389 DOI: 10.1111/j.1442-2042.2012.02995.x] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
INTRODUCTION Existing screening investigations for the diagnosis of early prostate cancer lack specificity, resulting in a high negative biopsy rate. There is increasing interest in the use of various magnetic resonance methods for improving the yield of transrectal ultrasound-guided biopsies of the prostate in men suspected to have prostate cancer. We review the existing status of such investigations. METHODS A literature search was carried out using the Pubmed database to identify articles related to magnetic resonance methods for diagnosing prostate cancer. References from these articles were also extracted and reviewed. RESULTS Recent studies have focused on prebiopsy magnetic resonance investigations using conventional magnetic resonance imaging, dynamic contrast enhanced magnetic resonance imaging, diffusion weighted magnetic resonance imaging, magnetization transfer imaging and magnetic resonance spectroscopy of the prostate. This marks a shift from the earlier strategy of carrying out postbiopsy magnetic resonance investigations. Prebiopsy magnetic resonance investigations has been useful in identifying patients who are more likely to have a biopsy positive for malignancy. CONCLUSIONS Prebiopsy magnetic resonance investigations has a potential role in increasing specificity of screening for early prostate cancer. It has a role in the targeting of biopsy sites, avoiding unnecessary biopsies and predicting the outcome of biopsies.
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Affiliation(s)
- Virendra Kumar
- Department of Radio-diagnosis, All India Institute of Medical Sciences, New Delhi, India
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14
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Abstract
Dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) and computed tomography (CT) scanning are emerging as valuable tools to quantitatively map the spatial distribution of vascular parameters, such as perfusion, vascular permeability, blood volume, and mean transit time in tumors and normal organs. DCE MRI/CT have shown prognostic and predictive value for response of certain cancers to chemotherapy and radiation therapy. DCE MRI/CT offer the promise of early assessment of tumor response to radiation therapy, opening a window for adaptively optimizing radiation therapy based upon functional alterations that occur earlier than morphologic changes. DCE MRI/CT has also shown the potential of mapping dose responses in normal organs and tissue for evaluation of individual sensitivity to radiation, providing additional opportunities to minimize risks of radiation injury. The evidence for potentially applying DCE MRI and CT for selection and delineation of radiation boost targets is growing. The clinical use of DCE MRI and CT scanning as a biomarker or even a surrogate endpoint for radiation therapy assessment of tumor and normal organs must consider technical validation issues, including standardization, reproducibility, accuracy and robustness, and clinical validation of the sensitivity and specificity for each specific problem of interest. Although holding great promise, to date, DCE MRI and CT scanning have not been qualified as a surrogate endpoint for radiation therapy assessment or for treatment modification in any prospective phase III clinical trial for any tumor site.
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Affiliation(s)
- Yue Cao
- Department of Radiation Oncology and Radiology, University of Michigan, Ann Arbor, MI 48103, USA.
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15
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Housri N, Ning H, Ondos J, Choyke P, Camphausen K, Citrin D, Arora B, Shankavaram U, Kaushal A. Parameters favorable to intraprostatic radiation dose escalation in men with localized prostate cancer. Int J Radiat Oncol Biol Phys 2011; 80:614-20. [PMID: 20932672 PMCID: PMC3580994 DOI: 10.1016/j.ijrobp.2010.06.050] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2010] [Revised: 05/15/2010] [Accepted: 06/29/2010] [Indexed: 11/26/2022]
Abstract
PURPOSE To identify , within the framework of a current Phase I trial, whether factors related to intraprostatic cancer lesions (IPLs) or individual patients predict the feasibility of high-dose intraprostatic irradiation. METHODS AND MATERIALS Endorectal coil MRI scans of the prostate from 42 men were evaluated for dominant IPLs. The IPLs, prostate, and critical normal tissues were contoured. Intensity-modulated radiotherapy plans were generated with the goal of delivering 75.6 Gy in 1.8-Gy fractions to the prostate, with IPLs receiving a simultaneous integrated boost of 3.6 Gy per fraction to a total dose of 151.2 Gy, 200% of the prescribed dose and the highest dose cohort in our trial. Rectal and bladder dose constraints were consistent with those outlined in current Radiation Therapy Oncology Group protocols. RESULTS Dominant IPLs were identified in 24 patients (57.1%). Simultaneous integrated boosts (SIB) to 200% of the prescribed dose were achieved in 12 of the 24 patients without violating dose constraints. Both the distance between the IPL and rectum and the hip-to-hip patient width on planning CT scans were associated with the feasibility to plan an SIB (p = 0.002 and p = 0.0137, respectively). CONCLUSIONS On the basis of this small cohort, the distance between an intraprostatic lesion and the rectum most strongly predicted the ability to plan high-dose radiation to a dominant intraprostatic lesion. High-dose SIB planning seems possible for select intraprostatic lesions.
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Affiliation(s)
- Nadine Housri
- Radiation Oncology Branch Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Holly Ning
- Radiation Oncology Branch Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - John Ondos
- Radiation Oncology Branch Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Peter Choyke
- Molecular Imaging Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Kevin Camphausen
- Radiation Oncology Branch Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Deborah Citrin
- Radiation Oncology Branch Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Barbara Arora
- Radiation Oncology Branch Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Uma Shankavaram
- Radiation Oncology Branch Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Aradhana Kaushal
- Radiation Oncology Branch Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
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16
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DeFeo EM, Wu CL, McDougal WS, Cheng LL. A decade in prostate cancer: from NMR to metabolomics. Nat Rev Urol 2011; 8:301-11. [PMID: 21587223 DOI: 10.1038/nrurol.2011.53] [Citation(s) in RCA: 49] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Over the past 30 years, continuous progress in the application of nuclear magnetic resonance (NMR) spectroscopy and magnetic resonance spectroscopic imaging (MRSI) to the detection, diagnosis and characterization of human prostate cancer has turned what began as scientific curiosity into a useful clinical option. In vivo MRSI technology has been integrated into the daily care of prostate cancer patients, and innovations in ex vivo methods have helped to establish NMR-based prostate cancer metabolomics. Metabolomic and multimodality imaging could be the future of the prostate cancer clinic--particularly given the rationale that more accurate interrogation of a disease as complex as human prostate cancer is most likely to be achieved through paradigms involving multiple, instead of single and isolated, parameters. The research and clinical results achieved through in vivo MRSI and ex vivo NMR investigations during the first 11 years of the 21st century illustrate areas where these technologies can be best translated into clinical practice.
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Affiliation(s)
- Elita M DeFeo
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA 02114, USA
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17
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Bourne R, Kurniawan N, Cowin G, Sved P, Watson G. 16 T Diffusion microimaging of fixed prostate tissue: Preliminary findings. Magn Reson Med 2011; 66:244-7. [DOI: 10.1002/mrm.22778] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2010] [Revised: 11/23/2010] [Accepted: 11/28/2010] [Indexed: 11/06/2022]
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18
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Abstract
The role of imaging in treatment decision-making for patients with prostate cancer is to characterize the cancer already diagnosed on biopsy, to determine tumor location, to assess tumor volume, and to exclude more-extensive disease. MRI is currently the most established imaging modality for this purpose, with the highest sensitivity and specificity for detection and staging of prostate tumors. The development and wider adoption of active surveillance and focal treatment approaches would also benefit from accurate localization of cancer. As such, 3 T MRI and multiparametric approaches are being developed as tools for the localization and staging of prostate cancer. Men wishing to commence or remain on active surveillance might benefit by having larger cancers identified before embarking on this management strategy. MRI might have its greatest role in patients where there is a discrepancy between PSA and biopsy results suggesting a potential missed prostate tumor.
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19
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Abstract
Focal therapy has emerged as a potential treatment paradigm for men with localized prostate cancer, because it serves as a medium between the ambiguity of surveillance and the potential reduction of quality of life observed with radical treatment. Candidate selection remains the major challenge of implementing focal therapy in clinical practice. While focal therapy is potentially widely applicable, there is general consensus that initial efforts to initiate focal therapy protocols in practice should be limited to men with disease features that are low to low-intermediate risk, thereby limiting the likelihood of early systemic failure. Selection of candidates is first dependent on the intent of focal therapy. Curative intent focal therapy is limited to a small number of men with isolated, low-risk, unifocal, or unilateral disease. In men for whom local control-and potential prolongation of the natural history of disease-is desired, mapping strategies would focus on identification of the dominant site of disease and ruling out high-risk features. Tools such as conventional transrectal biopsy, transperineal saturation biopsy, and prostate MRI all have relative merits and shortcomings. While ultimately limitation of biopsy is desirable through combinations of transrectal biopsy and imaging, for now, limitations of conventional imaging modalities make it likely that most men will need transperineal saturation biopsy before inclusion in focal therapy protocols.
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Affiliation(s)
- Samir S Taneja
- Division of Urologic Oncology, Department of Urology, New York University Langone Medical Center, New York, New York 10016, USA.
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