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Trofimov A, Agarkova D, Trofimova K, Lidji-Goryaev C, Atochin D, Bragin D. On Net Water Uptake in Posttraumatic Ischemia Foci. Adv Exp Med Biol 2023; 1425:629-634. [PMID: 37581836 DOI: 10.1007/978-3-031-31986-0_61] [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] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/16/2023]
Abstract
BACKGROUND The influence of cerebral edema and resultant secondary complications on the clinical outcome of traumatic brain injury (TBI) is well known. Clinical studies of brain water homeostasis dynamics in TBI are limited, which determines the relevance of our work. The purpose is to study changes in brain water homeostasis after TBI of varying severity compared to corresponding cerebral microcirculation parameters. MATERIALS This non-randomized retrospective single-center study complies with the Helsinki Declaration for patient's studies. The study included 128 patients with posttraumatic ischemia (PCI) after moderate-to-severe TBI in the middle cerebral artery territory who were admitted to the hospital between July 2015 and February 2022. PCI was evaluated by perfusion computed tomography (CT), and brain edema was determined using net water uptake (NWU) on baseline CT images. The patients were allocated according to Marshall's classification. Multivariate linear regression models were performed to analyze data. RESULTS NWU in PCI areas were significantly higher than in patients with its absence (8.1% vs. 4.2%, accordingly; p < 0.001). In the multivariable regression analysis, the mean transit time increase was significantly and independently associated with higher NWU (R2 = 0.089, p < 0.01). In the PCI zone, cerebral blood flow, cerebral blood volume, and time to peak were not significantly associated with NWU values (p > 0.05). No significant differences were observed between the NWU values in PCI foci in different Marshall groups (p = 0.308). CONCLUSION Marshall's classification does not predict the progression of posttraumatic ischemia. The blood passage delays through the cerebral microvascular bed is associated with brain tissue water content increase in the PCI focus.
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Affiliation(s)
- A Trofimov
- Department of Neurological Diseases, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - D Agarkova
- Department of Neurological Diseases, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - K Trofimova
- Department of Neurological Diseases, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - C Lidji-Goryaev
- Department of Neurological Diseases, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - D Atochin
- Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - D Bragin
- Lovelace Biomedical Research Institute, Albuquerque, NM, USA
- Department of Neurology, University of New Mexico, School of Medicine, Albuquerque, NM, USA
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Abstract
Retinal diseases were always difficult problem for clinical ophthalmology. Modern methods of their treatment only decrease risk of complications, however in Russia was created better technology for this purpose: peptide bioregulators, which were made by sequential adding of amino acids one to another, binding with the promoter region of genes, and promoting retinoprotective effect by regulation of their expression, improving the state of the retina.
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Affiliation(s)
- V Khavinson
- Saint Petersburg Institute of Bioregulation and Gerontlogy, Saint Petersburg, Russia.,Pavlov Institute of Physiology RAS, Saint Petersburg, Russia
| | - S Trofimova
- Saint Petersburg Institute of Bioregulation and Gerontlogy, Saint Petersburg, Russia
| | - A Trofimov
- Saint Petersburg Institute of Bioregulation and Gerontlogy, Saint Petersburg, Russia
| | - I Solomin
- Saint Petersburg Institute of Bioregulation and Gerontlogy, Saint Petersburg, Russia.
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Moteabbed M, Trofimov A, Sharp GC, Wang Y, Zietman AL, Efstathiou JA, Lu HM. Proton therapy of prostate cancer by anterior-oblique beams: implications of setup and anatomy variations. Phys Med Biol 2017; 62:1644-1660. [DOI: 10.1088/1361-6560/62/5/1644] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
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Hall D, Trofimov A, Winey B, Liebsch N, Paganetti H. TH-CD-209-09: Quickly Identifying Good Candidates for Proton Therapy From Geometric Considerations. Med Phys 2016. [DOI: 10.1118/1.4958203] [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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Moteabbed M, Trofimov A, Sharp G, Wang Y, Zietman A, Efstathiou J, Lu H. SU-G-JeP4-09: Impact of Interfractional Motion On Hypofractionated Pencil Beam Scanning Proton Therapy for Prostate Cancer. Med Phys 2016. [DOI: 10.1118/1.4957119] [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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Moteabbed M, Sharp GC, Wang Y, Trofimov A, Efstathiou JA, Lu HM. Validation of a deformable image registration technique for cone beam CT-based dose verification. Med Phys 2015; 42:196-205. [PMID: 25563260 DOI: 10.1118/1.4903292] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
PURPOSE As radiation therapy evolves toward more adaptive techniques, image guidance plays an increasingly important role, not only in patient setup but also in monitoring the delivered dose and adapting the treatment to patient changes. This study aimed to validate a method for evaluation of delivered intensity modulated radiotherapy (IMRT) dose based on multimodal deformable image registration (dir) for prostate treatments. METHODS A pelvic phantom was scanned with CT and cone-beam computed tomography (CBCT). Both images were digitally deformed using two realistic patient-based deformation fields. The original CT was then registered to the deformed CBCT resulting in a secondary deformed CT. The registration quality was assessed as the ability of the dir method to recover the artificially induced deformations. The primary and secondary deformed CT images as well as vector fields were compared to evaluate the efficacy of the registration method and it's suitability to be used for dose calculation. plastimatch, a free and open source software was used for deformable image registration. A B-spline algorithm with optimized parameters was used to achieve the best registration quality. Geometric image evaluation was performed through voxel-based Hounsfield unit (HU) and vector field comparison. For dosimetric evaluation, IMRT treatment plans were created and optimized on the original CT image and recomputed on the two warped images to be compared. The dose volume histograms were compared for the warped structures that were identical in both warped images. This procedure was repeated for the phantom with full, half full, and empty bladder. RESULTS The results indicated mean HU differences of up to 120 between registered and ground-truth deformed CT images. However, when the CBCT intensities were calibrated using a region of interest (ROI)-based calibration curve, these differences were reduced by up to 60%. Similarly, the mean differences in average vector field lengths decreased from 10.1 to 2.5 mm when CBCT was calibrated prior to registration. The results showed no dependence on the level of bladder filling. In comparison with the dose calculated on the primary deformed CT, differences in mean dose averaged over all organs were 0.2% and 3.9% for dose calculated on the secondary deformed CT with and without CBCT calibration, respectively, and 0.5% for dose calculated directly on the calibrated CBCT, for the full-bladder scenario. Gamma analysis for the distance to agreement of 2 mm and 2% of prescribed dose indicated a pass rate of 100% for both cases involving calibrated CBCT and on average 86% without CBCT calibration. CONCLUSIONS Using deformable registration on the planning CT images to evaluate the IMRT dose based on daily CBCTs was found feasible. The proposed method will provide an accurate dose distribution using planning CT and pretreatment CBCT data, avoiding the additional uncertainties introduced by CBCT inhomogeneity and artifacts. This is a necessary initial step toward future image-guided adaptive radiotherapy of the prostate.
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Affiliation(s)
- M Moteabbed
- Massachusetts General Hospital, Boston, Massachusetts 02114 and Harvard Medical School, Boston, Massachusetts 02115
| | - G C Sharp
- Massachusetts General Hospital, Boston, Massachusetts 02114 and Harvard Medical School, Boston, Massachusetts 02115
| | - Y Wang
- Massachusetts General Hospital, Boston, Massachusetts 02114 and Harvard Medical School, Boston, Massachusetts 02115
| | - A Trofimov
- Massachusetts General Hospital, Boston, Massachusetts 02114 and Harvard Medical School, Boston, Massachusetts 02115
| | - J A Efstathiou
- Massachusetts General Hospital, Boston, Massachusetts 02114 and Harvard Medical School, Boston, Massachusetts 02115
| | - H-M Lu
- Massachusetts General Hospital, Boston, Massachusetts 02114 and Harvard Medical School, Boston, Massachusetts 02115
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Moteabbed M, Trofimov A, Sharp GC, Wang Y, Zietman AL, Efstathiou JA, Lu H. SU-E-T-457: Impact of Interfractional Variations On Anterior Vs. Lateral-Field Proton Therapy of Prostate Cancer. Med Phys 2015. [DOI: 10.1118/1.4924819] [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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Trofimov A. Management of Craniofacial Polytrauma Complicated by Cerebrospinal Rhinorrhea. Skull Base Surg 2014. [DOI: 10.1055/s-0034-1384151] [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: 10/20/2022]
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Moteabbed M, Trofimov A, Testa M, Sharp G, Wang Y, Paganetti H, Zietman A, Efstathiou J, Lu H. SU-E-T-616: Comparison of Plan Dose Accuracy for Anterior Vs. Lateral Fields in Proton Therapy of Prostate Cancer. Med Phys 2014. [DOI: 10.1118/1.4888952] [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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Deisher A, Whitaker T, Kooy H, Trofimov A, Kruse J. SU-E-T-441: Comparison of Dose Distributions for Spot-Scanned Pencil-Beam and Scattered-Beam Proton Treatments of Ocular Tumors. Med Phys 2014. [DOI: 10.1118/1.4888774] [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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Trofimov A, Carpenter K, Shih HA. SU-E-CAMPUS-T-01: Analysis of the Precision of Patient Set-Up, and Fidelity of the Delivered Dose Distribution in Proton Therapy of Ocular Tumors. Med Phys 2014. [DOI: 10.1118/1.4889008] [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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Safai S, Trofimov A, Adams JA, Engelsman M, Bortfeld T. The rationale for intensity-modulated proton therapy in geometrically challenging cases. Phys Med Biol 2013; 58:6337-53. [PMID: 23965339 DOI: 10.1088/0031-9155/58/18/6337] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Intensity-modulated proton therapy (IMPT) delivered with beam scanning is currently available at a limited number of proton centers. However, a simplified form of IMPT, the technique of field 'patching', has long been a standard practice in proton therapy centers. In field patching, different parts of the target volume are treated from different directions, i.e., a part of the tumor gets either full dose from a radiation field, or almost no dose. Thus, patching represents a form of binary intensity modulation. This study explores the limitations of the standard binary field patching technique, and evaluates possible dosimetric advantages of continuous dose modulations in IMPT. Specifics of the beam delivery technology, i.e., pencil beam scanning versus passive scattering and modulation, are not investigated. We have identified two geometries of target volumes and organs at risk (OAR) in which the use of field patching is severely challenged. We focused our investigations on two patient cases that exhibit these geometries: a paraspinal tumor case and a skull-base case. For those cases we performed treatment planning comparisons of three-dimensional conformal proton therapy (3DCPT) with field patching versus IMPT, using commercial and in-house software, respectively. We also analyzed the robustness of the resulting plans with respect to systematic setup errors of ±1 mm and range errors of ±2.5 mm. IMPT is able to better spare OAR while providing superior dose coverage for the challenging cases identified above. Both 3DCPT and IMPT are sensitive to setup errors and range uncertainties, with IMPT showing the largest effect. Nevertheless, when delivery uncertainties are taken into account IMPT plans remain superior regarding target coverage and OAR sparing. On the other hand, some clinical goals, such as the maximum dose to OAR, are more likely to be unmet with IMPT under large range errors. IMPT can potentially improve target coverage and OAR sparing in challenging cases, even when compared with the relatively complicated and time consuming field patching technique. While IMPT plans tend to be more sensitive to delivery uncertainties, their dosimetric advantage generally holds. Robust treatment planning techniques may further reduce the sensitivity of IMPT plans.
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Affiliation(s)
- S Safai
- Francis H Burr Proton Therapy Center, Massachusetts General Hospital, Boston, MA, USA.
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Giantsoudi D, Unkelbach J, Craft D, Zeng C, Trofimov A, Paganetti H. TH-A-116-02: Radiobiological Implications of Various Target and Beam Geometry Utilization in Treatment Planning for Intensity Modulated Proton Therapy. Med Phys 2013. [DOI: 10.1118/1.4815731] [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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Moteabbed M, Trofimov A, Sharp G, Lu H. MO-G-137-03: Evaluation of the Robustness of Proton Therapy Compared with IMRT Regarding Interfractional Variations for Prostate Cancer. Med Phys 2013. [DOI: 10.1118/1.4815316] [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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Giantsoudi D, Grassberger C, Craft D, Niemierko A, Trofimov A, Paganetti H. TH-C-213AB-11: LET-Guided Biological Optimization in IMPT. Med Phys 2012. [DOI: 10.1118/1.4736300] [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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Zeng C, Giantsoudi D, Grassberger C, Goldberg S, Niemierko A, Paganetti H, Trofimov A. SU-E-T-552: Maximizing the Biological Effect of Proton Dose Delivered with Scanned Beam. Med Phys 2012; 39:3832. [DOI: 10.1118/1.4735641] [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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Chen W, Unkelbach J, Trofimov A, Madden T, Kooy H, Bortfeld T, Craft D. TH-A-213AB-08: Robust Multi-Criteria IMPT Optimization. Med Phys 2012. [DOI: 10.1118/1.4736242] [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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Bortfeld T, Craft D, Chen W, Trofimov A, Richter C, Seco J, Ramakrishnan J, Unkelbach J. SP-0021 TREATMENT PLANNING: INTEGRATING ROBUSTNESS IN OPTIMIZATION. Radiother Oncol 2012. [DOI: 10.1016/s0167-8140(12)70360-2] [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: 10/28/2022]
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Trofimov A, Song L, Wala J, Craft D, Lu H, Mutic S, Efstathiou J. Evaluation of the Utility of Parameterized Expectation Values of Dose-Volume Metrics for Quality Control in IMRT and Proton Therapy Planning for Prostate Carcinoma. Int J Radiat Oncol Biol Phys 2011. [DOI: 10.1016/j.ijrobp.2011.06.1450] [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: 11/28/2022]
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Trofimov A, Niemierko A, Efstathiou JA. SU-E-T-659: Maximizing the Therapeutic Effect of a Fractionated Treatment with Delivery of Inhomogeneous Daily Dose Distributions. Med Phys 2011. [DOI: 10.1118/1.3612622] [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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Zhang X, Zhang R, Dong L, Li Y, Trofimov A, Delaney T, Mahajan A, Mohan R. Improving Clinical Potential, Efficiency and Robustness of Planning and Delivery of IMPT for Skull-based Chordomas. Int J Radiat Oncol Biol Phys 2010. [DOI: 10.1016/j.ijrobp.2010.07.1862] [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: 10/19/2022]
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Trofimov A, Kang J, Unkelbach J, Adams J, Zhang X, Bortfeld T, Liebsch N, DeLaney T. Evaluation of Dosimetric Gain and Uncertainties in Proton Therapy Delivery with Scanned Pencil Beam in Treatment of Base-of-skull and Spinal Tumors. Int J Radiat Oncol Biol Phys 2010. [DOI: 10.1016/j.ijrobp.2010.07.334] [Citation(s) in RCA: 2] [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: 10/19/2022]
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Grassberger C, Trofimov A, Paganetti H. MO-E-BRB-02: Biologically Optimized Treatment Planning for Proton Therapy: Monte Carlo Calculated Linear Energy Transfer Distributions in Patients. Med Phys 2010. [DOI: 10.1118/1.3469112] [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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Trofimov A, Wang Y, Merrick S, Wong J, Efstathiou J. WE-A-BRA-03: Considerations of Inter-Observer and Inter-Fractional Anatomical Variability in Estimating the Beam Range Uncertainty in Proton Therapy of Prostate Cancer. Med Phys 2010. [DOI: 10.1118/1.3469324] [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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Wang Y, Efstathiou J, Ciernik I, Sharp G, Lu H, Trofimov A. SU-GG-T-454: Dosimetric Impact of Inter-Fractional Variations in Proton Therapy of Prostate Cancer: Assessment of Dose Accumulation and Plan Robustness Using Daily In-Room CT Images. Med Phys 2010. [DOI: 10.1118/1.3468852] [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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Ding A, Gu J, Mille M, Xu X, Wang Y, Trofimov A. TH-C-201B-04: Methods to Account for Imaging Doses from Diagnostic MDCT or Kilovoltage CBCT in Prostate Treatment Planning: Monte Carlo Studies Using Scanner Models and Patient-Specific Anatomy. Med Phys 2010. [DOI: 10.1118/1.3469521] [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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MacDonald S, Trofimov A, Safai S, Jordan R, Ramesh J, Fullerton B, Adams J, Ebb D, Tarbell N, Yock T. Proton Radiotherapy for Pediatric Central Nervous System Germ Cell Tumors: Early Clinical Outcomes. Int J Radiat Oncol Biol Phys 2009. [DOI: 10.1016/j.ijrobp.2009.07.1162] [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: 11/16/2022]
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Kooy H, Trofimov A, Adams J, Flanz J. THE BOSTON EXPERIENCE. Radiother Oncol 2009. [DOI: 10.1016/s0167-8140(12)72846-3] [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: 10/27/2022]
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Trofimov A, Yock AD, Choi NC. WE-C-BRC-10: The Utility of Surrogates of the Distribution of Pulmonary Function in Individualizing Thoracic Radiotherapy. Med Phys 2009. [DOI: 10.1118/1.3182478] [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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Kang J, Unkelbach J, Trofimov A, Bortfeld T. SU-FF-T-185: Implementation of a Dose Delivery Model to Handle Respiratory Motion with Variability. Med Phys 2009. [DOI: 10.1118/1.3181660] [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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Safai S, MacDonald S, Lu H, Schwarz M, Trofimov A, Herrup D, Taghian A, Bortfeld T. Feasibility Study of Pencil Beam Scanning in Proton Therapy for Left-sided Post-mastectomy Chest Wall Irradiation. Int J Radiat Oncol Biol Phys 2008. [DOI: 10.1016/j.ijrobp.2008.06.039] [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: 10/21/2022]
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Trofimov A, Gansemer C, Sharp G, Bortfeld T, Choi N. SU-GG-J-115: Investigating the Utility of Dose-Functional Histograms in Risk Assessment of Thoracic Radiotherapy. Med Phys 2008. [DOI: 10.1118/1.2961664] [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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Bortfeld T, Trofimov A, Unkelbach J, Martin B, Nohadani O. WE-B-350-02: Patient Motion & 4D Inverse Planning. Med Phys 2008. [DOI: 10.1118/1.2962676] [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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Bennett GW, Bousquet B, Brown HN, Bunce G, Carey RM, Cushman P, Danby GT, Debevec PT, Deile M, Deng H, Deninger W, Dhawan SK, Druzhinin VP, Duong L, Efstathiadis E, Farley FJM, Fedotovich GV, Giron S, Gray FE, Grigoriev D, Grosse-Perdekamp M, Grossmann A, Hare MF, Hertzog DW, Huang X, Hughes VW, Iwasaki M, Jungmann K, Kawall D, Kawamura M, Khazin BI, Kindem J, Krienen F, Kronkvist I, Lam A, Larsen R, Lee YY, Logashenko I, McNabb R, Meng W, Mi J, Miller JP, Mizumachi Y, Morse WM, Nikas D, Onderwater CJG, Orlov Y, Ozben CS, Paley JM, Peng Q, Polly CC, Pretz J, Prigl R, zu Putlitz G, Qian T, Redin SI, Rind O, Roberts BL, Ryskulov N, Sedykh S, Semertzidis YK, Shagin P, Shatunov YM, Sichtermann EP, Solodov E, Sossong M, Steinmetz A, Sulak LR, Timmermans C, Trofimov A, Urner D, von Walter P, Warburton D, Winn D, Yamamoto A, Zimmerman D. Search for Lorentz and CPT violation effects in Muon spin precession. Phys Rev Lett 2008; 100:091602. [PMID: 18352695 DOI: 10.1103/physrevlett.100.091602] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2007] [Indexed: 05/26/2023]
Abstract
The spin precession frequency of muons stored in the (g-2) storage ring has been analyzed for evidence of Lorentz and CPT violation. Two Lorentz and CPT violation signatures were searched for a nonzero delta omega a(=omega a mu+ - omega a mu-) and a sidereal variation of omega a mu+/-). No significant effect is found, and the following limits on the standard-model extension parameters are obtained: bZ = -(1.0+/-1.1) x 10(-23) GeV; (m mu dZ0 + HXY)=(1.8+/-6.0) x 10(-23) GeV; and the 95% confidence level limits b perpendicular mu+ <1.4 x 10(-24) GeV and b perpendicular mu- <2.6 x 10(-24) GeV.
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Affiliation(s)
- G W Bennett
- Brookhaven National Laboratory, Upton, NY 11973, USA
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Bortfeld T, Trofimov A, Unkelbach J, Chan TCY, Martin B. WE-B-BRB-02: Patient Motion: Adaptive RT. Med Phys 2007. [DOI: 10.1118/1.2761485] [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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Robertson D, Seco J, Trofimov A, Paganetti H. TH-C-AUD-06: Breathing Interplay Effects During Proton Beam Spot Scanning: Simulation and Statistical Analysis. Med Phys 2007. [DOI: 10.1118/1.2761665] [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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Sharp G, Lu H, Trofimov A, Tang X, Jiang S, Turcotte J, Gierga D, Chen G, Hong T. TU-C-M100J-01: Assessing Residual Motion for Gated Proton-Beam Radiotherapy. Med Phys 2007. [DOI: 10.1118/1.2761332] [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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Vrancic C, Trofimov A, Chan T, Sharp G, Bortfeld T. SU-FF-T-224: Experimental Evaluation of a Robust Optimization Method for IMRT of Moving Targets. Med Phys 2007. [DOI: 10.1118/1.2760885] [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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Chan TCY, Trofimov A, Vrancic C, Tsitsiklis JN, Bortfeld T. MO-E-BRA-03: Application of Robust Optimization in Lung Cancer Treatment. Med Phys 2007. [DOI: 10.1118/1.2761296] [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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Trofimov A, Vrancic C, Chan TCY, Sharp G, Bortfeld T. SU-DD-A3-06: Tumor Trailing Strategy for IMRT in the Presence of Target Motion: Preliminary Studies. Med Phys 2007. [DOI: 10.1118/1.2760337] [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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Bortfeld T, Trofimov A, Chan T, Martin B, Paganetti H, Jiang S. MO-D-ValA-03: Inverse Planning Optimization with Organ Motion Probability. Med Phys 2006. [DOI: 10.1118/1.2241426] [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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Trofimov A, Sharp G, Bortfeld T. SU-DD-A2-02: Variability of Waveforms and Probability Distributions in External Respiratory-Surrogate Marker Data. Med Phys 2006. [DOI: 10.1118/1.2240136] [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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Trofimov A, Fernald M, Martin B, Sharp G, Jiang S, Bortfeld T. SU-FF-J-68: Motion-Compensation in IMRT Employing Probability Distribution of Target Location: Phantom Tests and Computer Simulation. Med Phys 2005. [DOI: 10.1118/1.1997614] [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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Bortfeld T, Craft D, Halabi T, Trofimov A, Monz M, Küfer K. TU-C-T-6C-04: Quantifying the Tradeoff Between Complexity and Conformality. Med Phys 2005. [DOI: 10.1118/1.1998356] [Citation(s) in RCA: 3] [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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Martin B, Bortfeld T, Trofimov A, Craft D. SU-FF-T-121: Optimizing IMRT Plans with Geometric Uncertainty. Med Phys 2005. [DOI: 10.1118/1.1997792] [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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Trofimov A, Knopf A, Jiang H, Bortfeld T, Paganetti H. SU-FF-T-347: Proton Dose Calculation Using Monte-Carlo-Validated Pencil Beam Database for KonRad Treatment Planning System. Med Phys 2005. [DOI: 10.1118/1.1998076] [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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Paganetti H, Jiang H, Trofimov A. 4D Monte Carlo simulation of proton beam scanning: modelling of variations in time and space to study the interplay between scanning pattern and time-dependent patient geometry. Phys Med Biol 2005; 50:983-90. [PMID: 15798270 DOI: 10.1088/0031-9155/50/5/020] [Citation(s) in RCA: 55] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
When dosimetric effects in time-dependent geometries are studied, usually either the results of individual three-dimensional (3D) calculations are combined or probability-based approaches are applied. These methods may become cumbersome and time-consuming if high time resolution is required or if the geometry is complex. Furthermore, it is difficult to study double-dynamic systems, e.g., to investigate the influence of time-dependent beam delivery (i.e., magnetically moving beam spots in proton beam scanning) on the dose deposition in a moving target. We recently introduced the technique of 4D Monte Carlo dose calculation to model continuously changing geometries. In intensity modulated proton therapy, dose is delivered by individual pristine Bragg curves. Dose spots are positioned in the patient by varying magnetic field and beam energy. If the movement of these dose spots occurs during significant respiratory motion, interplay effects can take place. Because of the inhomogeneity of individual subfields, the consequences of motion can be more severe than in conventional proton therapy. We demonstrate how the technique of 4D Monte Carlo can be used to study interplay effects in proton beam scanning. Time-dependent beam delivery to a changing patient geometry is simulated in a single 4D dose calculation. Interplay effects between respiratory motion and beam scanning speed are demonstrated.
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Affiliation(s)
- H Paganetti
- Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
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Bennett GW, Bousquet B, Brown HN, Bunce G, Carey RM, Cushman P, Danby GT, Debevec PT, Deile M, Deng H, Dhawan SK, Druzhinin VP, Duong L, Farley FJM, Fedotovich GV, Gray FE, Grigoriev D, Grosse-Perdekamp M, Grossmann A, Hare MF, Hertzog DW, Huang X, Hughes VW, Iwasaki M, Jungmann K, Kawall D, Khazin BI, Krienen F, Kronkvist I, Lam A, Larsen R, Lee YY, Logashenko I, McNabb R, Meng W, Miller JP, Morse WM, Nikas D, Onderwater CJG, Orlov Y, Ozben CS, Paley JM, Peng Q, Polly CC, Pretz J, Prigl R, Zu Putlitz G, Qian T, Redin SI, Rind O, Roberts BL, Ryskulov N, Semertzidis YK, Shagin P, Shatunov YM, Sichtermann EP, Solodov E, Sossong M, Sulak LR, Trofimov A, von Walter P, Yamamoto A. Measurement of the negative muon anomalous magnetic moment to 0.7 ppm. Phys Rev Lett 2004; 92:161802. [PMID: 15169217 DOI: 10.1103/physrevlett.92.161802] [Citation(s) in RCA: 66] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2004] [Indexed: 05/24/2023]
Abstract
The anomalous magnetic moment of the negative muon has been measured to a precision of 0.7 ppm (ppm) at the Brookhaven Alternating Gradient Synchrotron. This result is based on data collected in 2001, and is over an order of magnitude more precise than the previous measurement for the negative muon. The result a(mu(-))=11 659 214(8)(3) x 10(-10) (0.7 ppm), where the first uncertainty is statistical and the second is systematic, is consistent with previous measurements of the anomaly for the positive and the negative muon. The average of the measurements of the muon anomaly is a(mu)(exp)=11 659 208(6) x 10(-10) (0.5 ppm).
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Affiliation(s)
- G W Bennett
- Brookhaven National Laboratory, Upton, New York 11973, USA
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Trofimov A, Weber D, DeLaney T, Bortfeld T. A treatment planning comparison of intensity-modulated photon and proton therapy for paraspinal sarcomas. Int J Radiat Oncol Biol Phys 2003. [DOI: 10.1016/s0360-3016(03)01061-7] [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: 11/17/2022]
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