1
|
Liu W, Loblaw A, Laidley D, Fakir H, Mendez L, Davidson M, Kassam Z, Lee TY, Ward A, Thiessen J, Bayani J, Conyngham J, Bailey L, Andrews JD, Bauman G. Imaging Biomarkers in Prostate Stereotactic Body Radiotherapy: A Review and Clinical Trial Protocol. Front Oncol 2022; 12:863848. [PMID: 35494042 PMCID: PMC9043802 DOI: 10.3389/fonc.2022.863848] [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: 01/27/2022] [Accepted: 03/07/2022] [Indexed: 11/13/2022] Open
Abstract
Advances in imaging have changed prostate radiotherapy through improved biochemical control from focal boost and improved detection of recurrence. These advances are reviewed in the context of prostate stereotactic body radiation therapy (SBRT) and the ARGOS/CLIMBER trial protocol. ARGOS/CLIMBER will evaluate 1) the safety and feasibility of SBRT with focal boost guided by multiparametric MRI (mpMRI) and 18F-PSMA-1007 PET and 2) imaging and laboratory biomarkers for response to SBRT. To date, response to prostate SBRT is most commonly evaluated using the Phoenix Criteria for biochemical failure. The drawbacks of this approach include lack of lesion identification, a high false-positive rate, and delay in identifying treatment failure. Patients in ARGOS/CLIMBER will receive dynamic 18F-PSMA-1007 PET and mpMRI prior to SBRT for treatment planning and at 6 and 24 months after SBRT to assess response. Imaging findings will be correlated with prostate-specific antigen (PSA) and biopsy results, with the goal of early, non-invasive, and accurate identification of treatment failure.
Collapse
Affiliation(s)
- Wei Liu
- Department of Oncology, Division of Radiation Oncology, London Health Sciences Centre and Western University, London, ON, Canada
| | - Andrew Loblaw
- Department of Radiation Oncology, Odette Cancer Center, Sunnybrook Health Sciences Centre and Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada
| | - David Laidley
- Division of Nuclear Medicine, St. Joseph's Health Centre and Western University, London, ON, Canada
| | - Hatim Fakir
- Department of Oncology and Department of Medical Biophysics, London Health Sciences Centre and Western University, London, ON, Canada
| | - Lucas Mendez
- Department of Oncology, Division of Radiation Oncology, London Health Sciences Centre and Western University, London, ON, Canada
| | - Melanie Davidson
- Department of Radiation Oncology, Odette Cancer Center, Sunnybrook Health Sciences Centre and Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada
| | - Zahra Kassam
- Department of Medical Imaging, St. Joseph's Health Care and Western University, London, ON, Canada
| | - Ting-Yim Lee
- Department of Medical Biophysics, Western University and Lawson Health Research Institute, London, ON, Canada
| | - Aaron Ward
- Department of Medical Biophysics, Western University and Lawson Health Research Institute, London, ON, Canada
| | - Jonathan Thiessen
- Department of Medical Biophysics, Western University and Lawson Health Research Institute, London, ON, Canada
| | - Jane Bayani
- Ontario Institute for Cancer Research and Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | | | - Laura Bailey
- Clinical Research Unit, London Regional Cancer Program, London, ON, Canada
| | - Joseph D Andrews
- Clinical Research Unit, London Regional Cancer Program, London, ON, Canada
| | - Glenn Bauman
- Department of Oncology, Division of Radiation Oncology, London Health Sciences Centre and Western University, London, ON, Canada
| |
Collapse
|
2
|
Diffusion weighted MRI as an early predictor of tumor response to hypofractionated stereotactic boost for prostate cancer. Sci Rep 2018; 8:10407. [PMID: 29991748 PMCID: PMC6039515 DOI: 10.1038/s41598-018-28817-9] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2018] [Accepted: 06/27/2018] [Indexed: 11/17/2022] Open
Abstract
We evaluated the feasibility of using the kinetic of diffusion-weighted MRI (DWI) and the normalized apparent coefficient diffusion (ADC) map value as an early biomarker in patients treated by external beam radiotherapy (EBRT). Twelve patients were included within the frame of a multicenter phase II trial and treated for intermediate risk prostate cancer (PCa). Multiparametric MRI was performed before treatment (M0) and every 6 months until M24. Association between nADC and PSA or PSA kinetic was evaluated using the test of nullity of the Spearman correlation coefficient. The median rates of PSA at the time of diagnosis, two years and four years after EBRT were 9.29 ng/ml (range from 5.26 to 17.67), 0.68 ng/ml (0.07–2.7), 0.47 ng/ml (0.09–1.39), respectively. Median nADC increased from 1.14 × 10−3 mm2/s to 1.59 × 10−3 mm2/s between M0 and M24. Only one patient presented a decrease of nADC (1.35 × 10−3 mm2/s and 1.11 × 10−3 mm2/s at M0 and M12 respectively). The increase in nADC at M6 was correlated with PSA decrease at M18, M24 and M30 (p < 0.05). The increase in nADc at M12 was correlated with PSA decrease at M36 (p = 0.019). Early nADC variation were correlated with late PSA decrease for patients with PCa treated by EBRT.
Collapse
|
3
|
Lai YL, Wu CY, Chao KSC. Biological imaging in clinical oncology: radiation therapy based on functional imaging. Int J Clin Oncol 2016; 21:626-632. [PMID: 27384183 DOI: 10.1007/s10147-016-1000-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2016] [Accepted: 05/29/2016] [Indexed: 12/25/2022]
Abstract
Radiation therapy is one of the most effective tools for cancer treatment. In recent years, intensity-modulated radiation therapy has become increasingly popular in that target dose-escalation can be done while sparing adjacent normal tissues. For this reason, the development of measures to pave the way for accurate target delineation is of great interest. With the integration of functional information obtained by biological imaging with radiotherapy, strategies using advanced biological imaging to visualize metabolic pathways and to improve therapeutic index and predict treatment response are discussed in this article.
Collapse
Affiliation(s)
- Yo-Liang Lai
- Department of Radiation Oncology, China Medical University Hospital, China Medical University, Taichung, Taiwan
| | - Chun-Yi Wu
- Department of Biomedical Imaging and Radiological Science, China Medical University, Taichung, Taiwan
| | - K S Clifford Chao
- China Medical University, 91 Hsueh-Shih Road, Taichung, 40402, Taiwan.
| |
Collapse
|
4
|
Hejazi J, Rastmanesh R, Taleban FA, Molana SH, Hejazi E, Ehtejab G, Hara N. Effect of Curcumin Supplementation During Radiotherapy on Oxidative Status of Patients with Prostate Cancer: A Double Blinded, Randomized, Placebo-Controlled Study. Nutr Cancer 2016; 68:77-85. [PMID: 26771294 DOI: 10.1080/01635581.2016.1115527] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Curcumin is an antioxidant agent with both radiosensitizing and radioprotective properties. The aim of the present study was to evaluate the effect of curcumin supplementation on oxidative status of patients with prostate cancer who undergo radiotherapy. Forty patients treated with radiotherapy for prostate cancer were randomized to the curcumin (CG, n = 20) or placebo group (PG, n = 20). They received curcumin (total 3 g/day) or placebo during external-beam radiation therapy of up to 74 Gy. Plasma total antioxidant capacity (TAC) and activity of superoxide dismutase (SOD), catalase, and glutathione peroxidase (GPx) were measured at baseline and 3 mo after radiotherapy completion. Analysis of covariance was used to compare the variables between groups following the intervention. Serum PSA levels and MRI/MRS images were investigated. In CG, TAC significantly increased (P < 0.001) and the activity of SOD decreased (P = 0.018) after radiotherapy compared with those at baseline. In CG, however, the activity of SOD had a significant reduction (P = 0.026) and TAC had a significant increase (P = 0.014) compared with those in PG. PSA levels were reduced to below 0.2 ng/ml in both groups, 3 mo after treatment, however, no significant differences were observed between the 2 groups regarding treatment outcomes.
Collapse
Affiliation(s)
- Jalal Hejazi
- a Department of Biochemistry and Nutrition , Faculty of Medicine, Zanjan University of Medical Sciences , Zanjan , Iran
| | | | - Forough-Azam Taleban
- c Department of Clinical Nutrition and Dietetics , Faculty of Nutrition Sciences and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences , Tehran , Iran
| | - Seyed-Hadi Molana
- c Department of Clinical Nutrition and Dietetics , Faculty of Nutrition Sciences and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences , Tehran , Iran
| | - Ehsan Hejazi
- c Department of Clinical Nutrition and Dietetics , Faculty of Nutrition Sciences and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences , Tehran , Iran
| | - Golamreza Ehtejab
- d Department of Radiation Oncology , Beasat Hospital, Armey Medical Sciences University , Tehran , Iran
| | - Noboru Hara
- e Division of Urology, Department of Regenerative and Transplant Medicine, Graduate School of Medical and Dental Sciences, Niigata University , Niigata , Japan
| |
Collapse
|
5
|
Mata C, Walker PM, Oliver A, Brunotte F, Martí J, Lalande A. ProstateAnalyzer: Web-based medical application for the management of prostate cancer using multiparametric MR imaging. Inform Health Soc Care 2015; 41:286-306. [PMID: 25710606 DOI: 10.3109/17538157.2015.1008488] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
OBJECTIVES In this paper, we present ProstateAnalyzer, a new web-based medical tool for prostate cancer diagnosis. ProstateAnalyzer allows the visualization and analysis of magnetic resonance images (MRI) in a single framework. METHODS ProstateAnalyzer recovers the data from a PACS server and displays all the associated MRI images in the same framework, usually consisting of 3D T2-weighted imaging for anatomy, dynamic contrast-enhanced MRI for perfusion, diffusion-weighted imaging in the form of an apparent diffusion coefficient (ADC) map and MR Spectroscopy. ProstateAnalyzer allows annotating regions of interest in a sequence and propagates them to the others. RESULTS From a representative case, the results using the four visualization platforms are fully detailed, showing the interaction among them. The tool has been implemented as a Java-based applet application to facilitate the portability of the tool to the different computer architectures and software and allowing the possibility to work remotely via the web. CONCLUSION ProstateAnalyzer enables experts to manage prostate cancer patient data set more efficiently. The tool allows delineating annotations by experts and displays all the required information for use in diagnosis. According to the current European Society of Urogenital Radiology guidelines, it also includes the PI-RADS structured reporting scheme.
Collapse
Affiliation(s)
- Christian Mata
- a Department of Computer Architecture and Technology , University of Girona , Girona , Spain .,b Laboratoire Electronique Informatique et Image (Le2I) , Université de Bourgogne , Dijon , France
| | - Paul M Walker
- b Laboratoire Electronique Informatique et Image (Le2I) , Université de Bourgogne , Dijon , France .,c Department of NMR Spectroscopy , University Hospital , Dijon , France
| | - Arnau Oliver
- a Department of Computer Architecture and Technology , University of Girona , Girona , Spain
| | - François Brunotte
- b Laboratoire Electronique Informatique et Image (Le2I) , Université de Bourgogne , Dijon , France .,c Department of NMR Spectroscopy , University Hospital , Dijon , France
| | - Joan Martí
- a Department of Computer Architecture and Technology , University of Girona , Girona , Spain
| | - Alain Lalande
- b Laboratoire Electronique Informatique et Image (Le2I) , Université de Bourgogne , Dijon , France .,c Department of NMR Spectroscopy , University Hospital , Dijon , France
| |
Collapse
|
6
|
Kobus T, Wright AJ, Scheenen TWJ, Heerschap A. Mapping of prostate cancer by 1H MRSI. NMR IN BIOMEDICINE 2014; 27:39-52. [PMID: 23761200 DOI: 10.1002/nbm.2973] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2013] [Revised: 04/08/2013] [Accepted: 04/13/2013] [Indexed: 06/02/2023]
Abstract
In many studies, it has been demonstrated that (1)H MRSI of the human prostate has great potential to aid prostate cancer management, e.g. in the detection and localisation of cancer foci in the prostate or in the assessment of its aggressiveness. It is particularly powerful in combination with T2 -weighted MRI. Nevertheless, the technique is currently mainly used in a research setting. This review provides an overview of the state-of-the-art of three-dimensional MRSI, including the specific hardware required, dedicated data acquisition sequences and information on the spectral content with background on the MR-visible metabolites. In clinical practice, it is important that relevant MRSI results become available rapidly, reliably and in an easy digestible way. However, this functionality is currently not fully available for prostate MRSI, which is a major obstacle for routine use by inexperienced clinicians. Routine use requires more automation in the processing of raw data than is currently available. Therefore, we pay specific attention in this review on the status and prospects of the automated handling of prostate MRSI data, including quality control. The clinical potential of three-dimensional MRSI of the prostate is illustrated with literature examples on prostate cancer detection, its localisation in the prostate, its role in the assessment of cancer aggressiveness and in the selection and monitoring of therapy.
Collapse
Affiliation(s)
- Thiele Kobus
- Department of Radiology, Radboud University Nijmegen Medical Centre, Nijmegen, the Netherlands
| | | | | | | |
Collapse
|
7
|
Kauppinen RA, Peet AC. Using magnetic resonance imaging and spectroscopy in cancer diagnostics and monitoring: preclinical and clinical approaches. Cancer Biol Ther 2012; 12:665-79. [PMID: 22004946 DOI: 10.4161/cbt.12.8.18137] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
Nuclear Magnetic Resonance (MR) based imaging has become an integrated domain in today's oncology research and clinical management of cancer patients. MR is a unique imaging modality among numerous other imaging modalities by providing access to anatomical, physiological, biochemical and molecular details of tumour with excellent spatial and temporal resolutions. In this review we will cover established and investigational MR imaging (MRI) and MR spectroscopy (MRS) techniques used for cancer imaging and demonstrate wealth of information on tumour biology and clinical applications MR techniques offer for oncology research both in preclinical and clinical settings. Emphasis is given not only to the variety of information which may be obtained but also the complementary nature of the techniques. This ability to determine tumour type, grade, invasiveness, degree of hypoxia, microvacular characteristics, and metabolite phenotype, has already profoundly transformed oncology research and patient management. It is evident from the data reviewed that MR techniques will play a key role in uncovering molecular fingerprints of cancer, developing targeted treatment strategies and assessing responsiveness to treatment for personalized patient management, thereby allowing rapid translation of imaging research conclusions into the benefit of clinical oncology.
Collapse
|