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Amamou T, Normandin E, Pouliot J, Dionne IJ, Brochu M, Riesco E. Effect of a High-Protein Energy-Restricted Diet Combined with Resistance Training on Metabolic Profile in Older Individuals with Metabolic Impairments. J Nutr Health Aging 2017; 21:67-74. [PMID: 27999852 DOI: 10.1007/s12603-016-0760-8] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Adequate protein intake and resistance training are effective strategies to maintain muscle mass, but the effect of their combination on metabolic profile during weight loss remains to be determined in older adults. The main objective of this study was to determine the effect of a 16-week high-protein caloric restriction combined with resistance training on chronic disease risk factors in obese older individuals with metabolic impairments. A total of 26 overweight adults aged between 60 and 75 years (BMI 32.4 ± 3.9 kg/m2) with at least 2 factors of the metabolic syndrome participated in this study and were randomized into two groups: 1) high-protein caloric restriction (HP; n= 12) and 2) high-protein caloric restriction combined with dynamic-resistance training (HP+RT; n=14). Caloric intake was reduced by 500 kcal/d in all participants and protein intake equated 25-30% of total calories (~1.4 g/kg/d). Exercise training consisted of 3 session/week of resistance training on pulley machines. Outcome measures included total and trunk fat mass (FM), total and appendicular lean body mass (LBM), fasting glucose level, lipid profile and blood pressure. Our results showed that total and trunk FM (all p<0.0001) as well as fasting glucose (p<0.0001), triglycerides (p=0.002) and total cholesterol (p=0.03) levels decreased similarly in both groups. However, total (p=0.04) and appendicular (p=0.02) LBM decreased in the HP group only. Our data show that high-protein energy restriction improves health profile of obese elderly at high risk of chronic disease but needs to be combined with resistance training to maintain LBM.
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Affiliation(s)
- T Amamou
- Eléonor Riesco, PhD, Faculty of physical activity sciences, University of Sherbrooke, 2500, boul. de l'Université, Sherbrooke, QC, J1K2R1, Canada, E-mail:
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Obeidat M, Narayanasamy G, Cline K, Stathakis S, Pouliot J, Kim H, Kirby N. Comparison of different QA methods for deformable image registration to the known errors for prostate and head-and-neck virtual phantoms. Biomed Phys Eng Express 2016. [DOI: 10.1088/2057-1976/2/6/067002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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Goggin LM, Descovich M, McGuinness C, Shiao S, Pouliot J, Park C. Dosimetric Comparison Between 3-Dimensional Conformal and Robotic SBRT Treatment Plans for Accelerated Partial Breast Radiotherapy. Technol Cancer Res Treat 2015; 15:437-45. [DOI: 10.1177/1533034615601280] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2015] [Accepted: 07/22/2015] [Indexed: 12/31/2022] Open
Abstract
Accelerated partial breast irradiation is an attractive alternative to conventional whole breast radiotherapy for selected patients. Recently, CyberKnife has emerged as a possible alternative to conventional techniques for accelerated partial breast irradiation. In this retrospective study, we present a dosimetric comparison between 3-dimensional conformal radiotherapy plans and CyberKnife plans using circular (Iris) and multi-leaf collimators. Nine patients who had undergone breast-conserving surgery followed by whole breast radiation were included in this retrospective study. The CyberKnife planning target volume (PTV) was defined as the lumpectomy cavity + 10 mm + 2 mm with prescription dose of 30 Gy in 5 fractions. Two sets of 3-dimensional conformal radiotherapy plans were created, one used the same definitions as described for CyberKnife and the second used the RTOG-0413 definition of the PTV: lumpectomy cavity + 15 mm + 10 mm with prescription dose of 38.5 Gy in 10 fractions. Using both PTV definitions allowed us to compare the dose delivery capabilities of each technology and to evaluate the advantage of CyberKnife tracking. For the dosimetric comparison using the same PTV margins, CyberKnife and 3-dimensional plans resulted in similar tumor coverage and dose to critical structures, with the exception of the lung V5%, which was significantly smaller for 3-dimensional conformal radiotherapy, 6.2% when compared to 39.4% for CyberKnife-Iris and 17.9% for CyberKnife-multi-leaf collimator. When the inability of 3-dimensional conformal radiotherapy to track motion is considered, the result increased to 25.6%. Both CyberKnife-Iris and CyberKnife-multi-leaf collimator plans demonstrated significantly lower average ipsilateral breast V50% (25.5% and 24.2%, respectively) than 3-dimensional conformal radiotherapy (56.2%). The CyberKnife plans were more conformal but less homogeneous than the 3-dimensional conformal radiotherapy plans. Approximately 50% shorter treatment times and 50% lower number of delivered monitor units (MU) were achievable with CyberKnife-multi-leaf collimator than with CyberKnife-Iris. The CyberKnife-multi-leaf collimator treatment times were comparable to 3-dimensional conformal radiotherapy, however, the number of MU delivered was approximately 2.5 times larger. The suitability of 10 + 2 mm margins warrants further investigation.
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Affiliation(s)
- L. M. Goggin
- Department of Radiation Oncology, University of California San Francisco, CA, USA
| | - M. Descovich
- Department of Radiation Oncology, University of California San Francisco, CA, USA
| | - C. McGuinness
- Department of Radiation Oncology, University of California San Francisco, CA, USA
| | - S. Shiao
- Department of Radiation Oncology, University of California San Francisco, CA, USA
| | - J. Pouliot
- Department of Radiation Oncology, University of California San Francisco, CA, USA
| | - C. Park
- Department of Radiation Oncology, University of California San Francisco, CA, USA
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Nie K, Pouliot J, Smith E, Chuang C. SU-E-J-102: Performance Variations Among Clinically Available Deformable Image Registration Tools in Adaptive Radiotherapy: How Should We Evaluate and Interpret the Result? Med Phys 2015. [DOI: 10.1118/1.4924189] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Kim H, Chen J, Pouliot J. WE-G-207-04: Non-Local Total-Variation (NLTV) Combined with Reweighted L1-Norm for Compressed Sensing Based CT Reconstruction. Med Phys 2015. [DOI: 10.1118/1.4926097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Shugard E, Mistry N, Cheung J, Pouliot J, Chen J. SU-F-207-09: Evaluating the Dosimetric Accuracy of Extended Field-Of-View CT Reconstructions Using Clinical Data with Real Patient Geometries. Med Phys 2015. [DOI: 10.1118/1.4925253] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Obeidat M, Narayanasamy G, Cline K, Stathakis S, Pouliot J, Kim H, Kirby N. SU-E-J-117: Comparison of Different QA Methods for Deformable Image Registration to the Known Errors for Prostate and Head-And-Neck Virtual Phantoms. Med Phys 2015. [DOI: 10.1118/1.4924204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Kim H, Chen J, Pouliot J, Pukala J, Kirby N. SU-E-J-92: Validating Dose Uncertainty Estimates Produced by AUTODIRECT, An Automated Program to Evaluate Deformable Image Registration Accuracy. Med Phys 2015. [DOI: 10.1118/1.4924179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Held M, Morin O, Pouliot J. TU-AB-303-10: KVCBCT, MVCBCT and MVCT On-Board Imaging Suitability for An Urgent Radiotherapy Treatment Workflow. Med Phys 2015. [DOI: 10.1118/1.4925527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Sudhyadhom A, Siauw T, Cunha J, Hsu I, Pouliot J. IPIP: A Planner Independent Approach to HDR Prostate Brachytherapy. Int J Radiat Oncol Biol Phys 2014. [DOI: 10.1016/j.ijrobp.2014.05.1423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Geneser S, Cunha J, Pouliot J, Hsu I. SU-C-16A-05: OAR Dose Tolerance Recommendations for Prostate and Cervical HDR Brachytherapy: Dose Versus Volume Metrics. Med Phys 2014. [DOI: 10.1118/1.4889697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Pinnaduwage DS, Chen J, Descovich M, Hwang KP, Pouliot J. SU-C-18A-05: Registration Accuracy of MR-Based Images to On-Board Megavoltage Cone-Beam CT for Brain Patient Setup. Med Phys 2014. [DOI: 10.1118/1.4887832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Kessler M, Brock K, Pouliot J, Dong L. MO-E-BRD-01: Adapt-A-Thon - Texas Hold’em Invitational. Med Phys 2014. [DOI: 10.1118/1.4889151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Kirby N, Singhrao K, Pouliot J. MO-C-17A-05: A Three-Dimensional Head-And-Neck Phantom for Validation of Kilovoltage- and Megavoltage-Based Deformable Image Registration. Med Phys 2014. [DOI: 10.1118/1.4889128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Held M, Morin O, Pouliot J. SU-E-J-92: On-Line Cone Beam CT Based Planning for Emergency and Palliative Radiation Therapy. Med Phys 2014. [DOI: 10.1118/1.4888144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Valdes G, Morin O, Pouliot J, Chuang C. SU-E-T-48: Automated Quality Assurance for XML Controlled Linacs. Med Phys 2014. [DOI: 10.1118/1.4888378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Brock K, Oldham M, Pouliot J, Cai J. TH-C-BRF-01: The Promise and Potential Pitfalls of Deformable Image Registration in Clinical Practice. Med Phys 2014. [DOI: 10.1118/1.4889611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Descovich M, Pinnaduwage D, Kirby N, Gottschalk A, Yom S, Pouliot J, Braunstein S. SU-E-J-78: Internal Target Volume Delineation for Lung Tumors in Patients Treated with Robotic Radiosurgery. Med Phys 2014. [DOI: 10.1118/1.4888130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Morin O, Held M, Pouliot J. SU-E-T-438: Commissioning of An In-Vivo Quality Assurance Method Using the Electronic Portal Imaging Device. Med Phys 2014. [DOI: 10.1118/1.4888771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Gaitan JC, Kirby N, Lasso A, Chin L, Pinter C, Pignol J, Fichtinger G, Pouliot J. SU-E-J-42: Customized Deformable Image Registration Using Open-Source Software SlicerRT. Med Phys 2014. [DOI: 10.1118/1.4888094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Cunha J, Sethi R, Mellis K, Siauw T, Sudhyadhom A, Hsu I, Pouliot J. WE-F-16A-01: Commissioning and Clinical Use of PC-ISO for Customized, 3D Printed, Gynecological Brachytherapy Applicators. Med Phys 2014. [DOI: 10.1118/1.4889468] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Perreault K, Audet M, Pouliot J, Riesco E, Dionne I. First-Degree Relative (FDR) of Type 2 Diabetes: How Are They Different From Non-FDR and How Do They Respond to Exercise? Can J Diabetes 2014. [DOI: 10.1016/j.jcjd.2014.02.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Poulin E, Gardi L, Fenster A, Pouliot J, Beaulieu L. OC-0163: Towards real-time, personalized breast HDR brachytherapy treatment using 3D printing technology. Radiother Oncol 2014. [DOI: 10.1016/s0167-8140(15)30268-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Maghsoudi K, Morin O, Pouliot J, Chang J, Johnson J, Polishchuk A, Fogh S. Dosimetric Considerations of Total Body Irradiation. Int J Radiat Oncol Biol Phys 2013. [DOI: 10.1016/j.ijrobp.2013.06.1977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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McGuinness C, Gottschalk A, Pinnaduwage D, Nakamura J, Pouliot J, Sims C, Lessard E, Chen J, Descovich M. Standard Fractionation IMRT With a MLC-Equipped Robotic Radiosurgery System. Int J Radiat Oncol Biol Phys 2013. [DOI: 10.1016/j.ijrobp.2013.06.1934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Nie K, Fekete CC, Pinnaduwage D, Cunha JAM, Mellis K, Descovich M, Beaulieu L, Pouliot J. WE-E-108-10: Validating a 192Ir-Based Small Animal Irradiation Apparatus Using a 3D-Printed Applicator: Comparison Between TG-43, Monte Carlo and Films Dosimetry. Med Phys 2013. [DOI: 10.1118/1.4815588] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Kirby N, Morin O, Ueda U, Nie K, Chen J, Pouliot J. TU-C-141-09: An Automated Workflow for Patient-Specific Verification of Deformable Image Registration. Med Phys 2013. [DOI: 10.1118/1.4815386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Singhrao K, Kirby N, Pouliot J. TU-C-141-01: The Development of a Set of Deformable Thermoplastic Materials That Mimic Tissue for Kilovoltage and Megavoltage Computed Tomography. Med Phys 2013. [DOI: 10.1118/1.4815378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Geneser S, Kirby N, Hsu I, Cunha JAM, Pouliot J. TU-C-141-07: Limitations of Summing Dose Across Fractions: A Simple Test to Identify Failure. Med Phys 2013. [DOI: 10.1118/1.4815384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Reber C, Neo A, Schoenhoff E, Kirby N, Singhrao K, Pouliot J. TU-C-141-10: A Three-Dimensional Thermoplastic Prostate Phantom for Evaluation of Deformable Image Registration. Med Phys 2013. [DOI: 10.1118/1.4815387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Poulin E, Fekete CC, Letourneau M, Fenster A, Pouliot J, Beaulieu L. SU-D-108-01: An Efficient and Robust Algorithm for Catheter Optimization in High Dose Rate Brachytherapy. Med Phys 2013. [DOI: 10.1118/1.4814011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Poulin E, Gardi L, Fenster A, Pouliot J, Beaulieu L. MO-F-144-03: Real-Time Guidance and Planning in Breast High Dose Rate Brachytherapy Using 3D Ultrasound. Med Phys 2013. [DOI: 10.1118/1.4815313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Held M, Morin O, Pouliot J. SU-E-J-180: A CT-Based On-Line Radiotherapy Treatment for Urgent Treatment Delivery. Med Phys 2013. [DOI: 10.1118/1.4814392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Pinnaduwage D, Sudhyadhom A, Descovich M, Hwang K, Novak G, Chen J, Pouliot J. SU-D-WAB-02: MRI-Based Treatment Planning in Brain Radiation Therapy: Validation of An Atlas-Based Pseudo-CT Generation Method. Med Phys 2013. [DOI: 10.1118/1.4814026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Cunha J, Saltiel D, Binnekamp D, Hsu I, Chang A, Pouliot J. OC-0182: Demonstration of real-time, automatic 3D seed & needle localization in brachytherapy using integrated EM tracking. Radiother Oncol 2013. [DOI: 10.1016/s0167-8140(15)32488-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Graff P, Huger S, Noel A, Wolf D, Peiffert D, Yom S, Pouliot J. A Tool for the Daily Management of Dose Guided Radiation Therapy for Head and Neck IMRT Patients. Int J Radiat Oncol Biol Phys 2012. [DOI: 10.1016/j.ijrobp.2012.07.2048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Geneser S, Kirby N, Xing L, Pouliot J. The Impact of Errors in Nonrigid Medical Image Registration Methods on Dose Warping Accuracy. Int J Radiat Oncol Biol Phys 2012. [DOI: 10.1016/j.ijrobp.2012.07.217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Poulin E, Fekete CAC, Morrier J, Varfalvy N, Pouliot J, Beaulieu L. Sci-Sat AM: Brachy - 10: Adaptation of the CVT algorithm for catheter optimization in high dose rate brachytherapy. Med Phys 2012; 39:4646. [DOI: 10.1118/1.4740217] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Ueda U, Chen J, Kirby N, Quivey J, Yom S, Pouliot J. SU-E-J-84: Investigating the Use of Deformable Algorithms to Register and Accumulate Dose to the Spinal Cord for Head-And-Neck Radiotherapy Patients. Med Phys 2012; 39:3671-3672. [DOI: 10.1118/1.4734919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Kirby N, Chuang C, Pouliot J. WE-E-213CD-01: Best in Physics (Joint Imaging-Therapy) - Evaluation of Deformation Algorithm Accuracy with a Two-Dimensional Anatomical Pelvic Phantom. Med Phys 2012; 39:3959. [PMID: 28519997 DOI: 10.1118/1.4736157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
PURPOSE To objectively evaluate the accuracy of 11 different deformable registration techniques for bladder filling. METHODS The phantom represents an axial plane of the pelvic anatomy. Urethane plastic serves as the bony anatomy and urethane rubber with three levels of Hounsfield units (HU) is used to represent fat and organs, including the prostate. A plastic insert is placed into the phantom to simulate bladder filling. Nonradiopaque markers reside on the phantom surface. Optical camera images of these markers are used to measure the positions and determine the deformation from the bladder insert. Eleven different deformable registration techniques are applied to the full- and empty-bladder computed tomography images of the phantom to calculate the deformation. The applied algorithms include those from MIMVista Software and Velocity Medical Solutions and 9 different implementations from the Deformable Image Registration and Adaptive Radiotherapy Toolbox for Matlab. The distance to agreement between the measured and calculated deformations is used to evaluate algorithm error. Deformable registration warps one image to make it similar to another. The root-mean-square (RMS) difference between the HUs at the marker locations on the empty-bladder phantom and those at the calculated marker locations on the full-bladder phantom is used as a metric for image similarity. RESULTS The percentage of the markers with an error larger than 3 mm ranges from 3.1% to 28.2% with the different registration techniques. This range is 1.1% to 3.7% for a 7 mm error. The least accurate algorithm at 3 mm is also the most accurate at 7 mm. Also, the least accurate algorithm at 7 mm produces the lowest RMS difference. CONCLUSIONS Different deformation algorithms generate very different results and the outcome of any one algorithm can be misleading. Thus, these algorithms require quality assurance. The two-dimensional phantom is an objective tool for this purpose.
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Affiliation(s)
- N Kirby
- UC San Francisco, San Francisco, CA
| | - C Chuang
- UC San Francisco, San Francisco, CA
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Ueda U, Chen J, Hsu I, Reed G, Pouliot J. SU-E-J-94: Investigating the Use of Deformable Algorithms to Register MR Images Acquired with and Without an Endo-Rectal Coil. Med Phys 2012; 39:3674. [DOI: 10.1118/1.4734930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Held M, Kirby N, Morin O, Pouliot J. TH-C-BRB-02: Dosimetric Analysis of Inverse-Planned Modulated-Arc Total-Body Irradiation. Med Phys 2012. [DOI: 10.1118/1.4736305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Morin O, Held M, Kirby N, Perez-Andujar A, Chuang C, Pouliot J. SU-E-T-556: Integration of Lung Blocks in the Inverse Planning Process of Modulated Arc Total Body Irradiation Using Cone Beam CT. Med Phys 2012; 39:3833. [DOI: 10.1118/1.4735645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Chuang C, Morin O, Pouliot J. SU-E-J-96: Investigation into the Accuracy of Deformable Registration Algorithms for Use in Dose Summation: A Case Study in Combined Modalities. Med Phys 2012; 39:3674. [PMID: 28519824 DOI: 10.1118/1.4734932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
PURPOSE To better understand the accuracy and limitation of deformable registration algorithms for dose summation by studying the results produced through two different deformable registration techniques for a clinical case of combining a Cyberknife radiosurgery plan and an electron boost to the scar tissues. METHODS A patient was treated with a Cyberknife plan with supine CT and an electron boost plan with prone CT concurrently. The CT, RT structures and dose grids were exported from the Cyberknife MultiPlan system and the Pinnacle system and imported into two commercial DICOM viewing systems equipped with deformable registration algorithms. One of the systems uses intensity-based free-form deformable registration while the other uses B-spline free-form deformable registration. The electron boost plan was first registered to the CK plan using rigid registration, then secondly using deformable registration in each system. The region of interest used for registration was chosen to encompass the whole CT volumes due to the supine vs. prone positions. RESULTS The summation doses for the Cyberknife CTV and critical structures do not differ between rigid registration and deformable registration for both systems. The electron boost volume does show higher mean dose received for the deformable registration compared with rigid registration for both systems (12.90 Gy vs. 11.71 Gy and 12.39 Gy vs. 11.53 Gy). There are slight variations between the doses produced by the two systems for all the structures, with an averaged difference of approximately 0.02% to 2.63%. CONCLUSIONS These results show that for cases like this one, where the two treatment volumes do not overlap, there will not be significant differences between rigid and deformable registration, and that the only significant difference in summation dose between the different deformable registration algorithms is where the volume is deformed the most, in this case, the electron boost volume.
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Affiliation(s)
- C Chuang
- University of California San Francisco, San Francisco, CA
| | - O Morin
- University of California San Francisco, San Francisco, CA
| | - J Pouliot
- University of California San Francisco, San Francisco, CA
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Perez-Andujar A, Morin O, Chuang C, Pouliot J. SU-E-T-123: Understanding the Meaning of IMRT QA Passing Rates with a 2D Diode Array. Med Phys 2012; 39:3731. [PMID: 28517152 DOI: 10.1118/1.4735181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
PURPOSE A lower than ideal tolerance limit is used in intensity-modulated radiation therapy quality assurance (IMRT QA) with a 2D diode array due to passing rate fluctuations. The objective is to identify patterns in the passing rates to predict sources of uncertainty that can affect treatment delivery, for example, the need to re-calibrate the multileaf collimator when the passing rates start to decrease. METHODS Five complex clinical prostate IMRT plans were evaluated with a 2D diode array. The QA for each plan was repeated five times during one and a half month period. One of the plans was randomly selected and repeated the same day five consecutive times. The planar doses calculated by the treatment planning system were compared to the measurements of the 2D diode array. The individual passing rates per beam per plan were compared. RESULTS The average passing rate for each plan ranged from 94% to 97%. While the average percent difference of this ranged between -7.67% to 17.61%. Additionally, the minimum and maximum standard deviation among all beams was 0.13% and 9.63% respectively. We also compared the standard deviation of a plan QA repeated during different days versus a plan QA repeated during the same day. For the former the highest standard deviation was 6.05 % while for the later 0.21%. We noticed that the largest discrepancy between the passing rates was for angles at around 155° and 205°. CONCLUSION These results show some inconsistency in the IMRT QA passing rates from one day to the next. Moreover, lower passing rates for a specific angle like the ones shown here can represent possible mechanical or tuning problems with the linear accelerator at these specific locations. Early identification of these sources of uncertainty can greatly improve the precision of the treatment delivery.
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Affiliation(s)
| | - O Morin
- University of California San Francisco, San Francisco, CA
| | - C Chuang
- University of California San Francisco, San Francisco, CA
| | - J Pouliot
- University of California San Francisco, San Francisco, CA
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Nie K, Pouliot J, Hwang A, Sneed P, McDermott M, Ma L. SU-D-211-04: Sector Intensity Modulated (SIM) Gamma Knife Stereotactic Radiosurgery. Med Phys 2012; 39:3610. [PMID: 28517415 DOI: 10.1118/1.4734658] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
PURPOSE The latest Gamma Knife (GK) system, Perfexion, consists of 192 Co-60 sources divided into eight sectors. Treatment delivery includes multiple shots placed at different positions. For every shot, each sector can be either blocked or open with four different aperture sizes. However, the beam-on time is designed to be fixed. We proposed an innovative concept, Sector Intensity Modulated (SIM) Gamma Knife by dynamically varying the beam-on time for each individual sector to improve stereotactic radiosurgery planning quality. METHODS The anatomic structures and dose matrices from each sector for every shot were obtained from the GK workstation. The beam-on time for each sector was decomposed with various discrete levels and brute-force algorithm was used to get the optimal solution. The resulting SIM plan was then re-entered into the GK workstation. Six indices were used to benchmark the plan quality: Coverage, Conformality, Gradient, Maximum Dose(s) to critical structure(s), Volume receiving over 8 and 12 Gy. All the SIM plans in comparison with the original plans were further reviewed by an experienced oncologist. RESULTS The simulations were tested on various pituitary adenoma cases. Results consistently showed that SIM yielded better plans with all quantitative indices improved compared to original plan. It provides better conformality, quicker drop off of the isodose line outside the tumor, lower doses to the critical structures as optical- nerve/chiasm while maintaining at least 99% coverage of the tumor. Results were more favorable according to oncologist's view. In particular, up to 20% or 0.6 cc volume decrease in healthy tissue receiving 8 Gy was observed. This may translate into clinically observable reduction in acute/late toxicities. CONCLUSIONS Our preliminary results show that Sector Intensity Modulated Gamma Knife offers superior treatment plans compared to the originally delivered plans. Further works as adding dynamic shot location and dynamic shot shaping will be discussed.
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Affiliation(s)
- K Nie
- University of California San Francisco, San Francisco, CA
| | - J Pouliot
- University of California San Francisco, San Francisco, CA
| | - A Hwang
- University of California San Francisco, San Francisco, CA
| | - P Sneed
- University of California San Francisco, San Francisco, CA
| | - M McDermott
- University of California San Francisco, San Francisco, CA
| | - L Ma
- University of California San Francisco, San Francisco, CA
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Cunha JA, Siauw T, Garg A, Zhang N, Goldberg K, Stoianovici D, III MR, Hsu IC, Pouliot J. WE-A-BRB-01: Robotic Brachytherapy Demonstration: Implant of HDR Brachytherapy Needle Configuration Computer-Optimized to Avoid Critical Structures Near the Bulb of the Penis. Med Phys 2012. [DOI: 10.1118/1.4736042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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