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Waters M, Price A, Laugeman E, Henke L, Hugo G, Stowe H, Andruska N, Brenneman R, Hao Y, Green O, Robinson C, Gay H, Michalski J, Baumann BC. CT-based online adaptive radiotherapy improves target coverage and organ at risk (OAR) avoidance in stereotactic body radiation therapy (SBRT) for prostate cancer. Clin Transl Radiat Oncol 2024; 44:100693. [PMID: 38021093 PMCID: PMC10663731 DOI: 10.1016/j.ctro.2023.100693] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 10/02/2023] [Accepted: 10/22/2023] [Indexed: 12/01/2023] Open
Abstract
Introduction Stereotactic body radiation therapy (SBRT) is an emerging treatment modality for clinically localized prostate cancer (PCa). Online daily adaptive radiotherapy (ART) could potentially improve the therapeutic ratio of prostate SBRT by accounting for inter-fraction variation in target and OAR volumes. To our knowledge, no group has evaluated the clinical utility of a novel AI-augmented CT-based ART system for prostate SBRT. In this study we hypothesized that adaptive prostate SBRT plans would result in improved target coverage and lower dose to OARs in comparison to unadapted treatment plans. Methods Seven patients with favorable intermediate to oligometastatic PCa treated with 5-fx prostate adaptive SBRT were retrospectively reviewed. Patients were treated with 3625 cGy to the prostate and seminal vesicles. 6 patients additionally received 2500 cGy to the pelvic nodes, 5 patients underwent a boost to 4000 cGy to the prostate. For each fraction, a CBCT was acquired and OARs (rectum, bladder, bowel, sigmoid, femurs) were segmented/deformed using AI. CTVs were rigidly registered. Volumes were adjusted manually and PTV expansions added. Adaptive treatment plans were developed based on the contoured targets and OARs and dose to these volumes for the adapted vs. initial plans were compared for each fraction. V100 and the D0.03 cc between scheduled and adapted treatment plans were compared using a Student's t-test, with significance threshold of P < 0.05. Results Seven patients completed 35 Fx's of adaptive RT. Daily adaptation resulted in a statistically significant mean improvement in PTV V100 for all targets: [21.4 % ± 4.3 % for PTV 4000 (p < 0.0001); 8.7 % ± 1.1 % for PTV 3625 (p < 0.0001); and 11.5 % ± 3.1 % for PTV 2500 (p = 0.0013)]. Mean rectal D0.03 was significantly reduced by 38.8 cGy ± 5.95 cGy (p < 0.0001) per fraction (194 cGy/5 fractions) compared to the initial plans. There was a modest increase in bladder dose of 10.9 cGy ± 4.93 cGy per fraction (p = 0.0424) for the adaptive plans. The adaptive plans met bladder constraints for every fraction. There were no statistically significant differences between sigmoid or bowel dose for adapted vs. initial plans. No patients experienced acute CTCAE grade ≥ 3 GI/GU adverse events (median F/U 9.5 months). All statistically significant differences were maintained in the presence and absence of rectal hydrogel spacer (p < 0.05). Conclusions CT-based online adaptive SBRT resulted in statistically significant and clinically meaningful improvements in PTV coverage and D0.03 cc dose to the rectum. A trial evaluating CT adaptive whole-pelvis prostate SBRT is underway.
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Affiliation(s)
- Michael Waters
- Department of Radiation Oncology, Washington University School of Medicine, St Louis, MO, USA
| | - Alex Price
- Department of Radiation Oncology, Washington University School of Medicine, St Louis, MO, USA
| | - Eric Laugeman
- Department of Radiation Oncology, Washington University School of Medicine, St Louis, MO, USA
| | - Lauren Henke
- Department of Radiation Oncology, Washington University School of Medicine, St Louis, MO, USA
| | - Geoff Hugo
- Department of Radiation Oncology, Washington University School of Medicine, St Louis, MO, USA
| | - Hayley Stowe
- Department of Radiation Oncology, Washington University School of Medicine, St Louis, MO, USA
| | - Neal Andruska
- Department of Radiation Oncology, Washington University School of Medicine, St Louis, MO, USA
| | - Randall Brenneman
- Department of Radiation Oncology, Washington University School of Medicine, St Louis, MO, USA
| | - Yao Hao
- Department of Radiation Oncology, Washington University School of Medicine, St Louis, MO, USA
| | - Olga Green
- Department of Radiation Oncology, Washington University School of Medicine, St Louis, MO, USA
| | - Clifford Robinson
- Department of Radiation Oncology, Washington University School of Medicine, St Louis, MO, USA
| | - Hiram Gay
- Department of Radiation Oncology, Washington University School of Medicine, St Louis, MO, USA
| | - Jeff Michalski
- Department of Radiation Oncology, Washington University School of Medicine, St Louis, MO, USA
| | - Brian C. Baumann
- Department of Radiation Oncology, Washington University School of Medicine, St Louis, MO, USA
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Pedersen LN, Valenzuela Ripoll C, Ozcan M, Guo Z, Lotfinaghsh A, Zhang S, Ng S, Weinheimer C, Nigro J, Kovacs A, Diab A, Klaas A, Grogan F, Cho Y, Ataran A, Luehmann H, Heck A, Kolb K, Strong L, Navara R, Walls GM, Hugo G, Samson P, Cooper D, Reynoso FJ, Schwarz JK, Moore K, Lavine K, Rentschler SL, Liu Y, Woodard PK, Robinson C, Cuculich PS, Bergom C, Javaheri A. Cardiac radiation improves ventricular function in mice and humans with cardiomyopathy. Med 2023; 4:928-943.e5. [PMID: 38029754 PMCID: PMC10994563 DOI: 10.1016/j.medj.2023.10.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 08/30/2023] [Accepted: 10/30/2023] [Indexed: 12/01/2023]
Abstract
BACKGROUND Rapidly dividing cells are more sensitive to radiation therapy (RT) than quiescent cells. In the failing myocardium, macrophages and fibroblasts mediate collateral tissue injury, leading to progressive myocardial remodeling, fibrosis, and pump failure. Because these cells divide more rapidly than cardiomyocytes, we hypothesized that macrophages and fibroblasts would be more susceptible to lower doses of radiation and that cardiac radiation could therefore attenuate myocardial remodeling. METHODS In three independent murine heart failure models, including models of metabolic stress, ischemia, and pressure overload, mice underwent 5 Gy cardiac radiation or sham treatment followed by echocardiography. Immunofluorescence, flow cytometry, and non-invasive PET imaging were employed to evaluate cardiac macrophages and fibroblasts. Serial cardiac magnetic resonance imaging (cMRI) from patients with cardiomyopathy treated with 25 Gy cardiac RT for ventricular tachycardia (VT) was evaluated to determine changes in cardiac function. FINDINGS In murine heart failure models, cardiac radiation significantly increased LV ejection fraction and reduced end-diastolic volume vs. sham. Radiation resulted in reduced mRNA abundance of B-type natriuretic peptide and fibrotic genes, and histological assessment of the LV showed reduced fibrosis. PET and flow cytometry demonstrated reductions in pro-inflammatory macrophages, and immunofluorescence demonstrated reduced proliferation of macrophages and fibroblasts with RT. In patients who were treated with RT for VT, cMRI demonstrated decreases in LV end-diastolic volume and improvements in LV ejection fraction early after treatment. CONCLUSIONS These results suggest that 5 Gy cardiac radiation attenuates cardiac remodeling in mice and humans with heart failure. FUNDING NIH, ASTRO, AHA, Longer Life Foundation.
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Affiliation(s)
- Lauren N Pedersen
- Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | | | - Mualla Ozcan
- Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Zhen Guo
- Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Aynaz Lotfinaghsh
- Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Shiyang Zhang
- Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Sherwin Ng
- Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Carla Weinheimer
- Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Jessica Nigro
- Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Attila Kovacs
- Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Ahmed Diab
- Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Amanda Klaas
- Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Felicia Grogan
- Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Yoonje Cho
- Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Anahita Ataran
- Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Hannah Luehmann
- Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Abigail Heck
- Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Kollin Kolb
- Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Lori Strong
- Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Rachita Navara
- Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Gerard M Walls
- Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast BT97AE, Northern Ireland
| | - Geoff Hugo
- Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Pamela Samson
- Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Daniel Cooper
- Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Francisco J Reynoso
- Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Julie K Schwarz
- Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Kaitlin Moore
- Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Kory Lavine
- Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Stacey L Rentschler
- Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Yongjian Liu
- Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Pamela K Woodard
- Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Clifford Robinson
- Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Phillip S Cuculich
- Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Carmen Bergom
- Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA.
| | - Ali Javaheri
- Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA; John J. Cochran Veterans Affairs Medical Center, St. Louis, MO 63106, USA.
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Olick-Gibson J, Cai B, Zhou S, Mutic S, Carter P, Hugo G, Zhang T. Feasibility study of surface motion tracking with millimeter wave technology during radiotherapy. Med Phys 2020; 47:1229-1237. [PMID: 31856302 DOI: 10.1002/mp.13980] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Revised: 12/09/2019] [Accepted: 12/13/2019] [Indexed: 02/02/2023] Open
Abstract
PURPOSE Continuous monitoring of patient movement is crucial to administering safe radiation therapy (RT). Conventional optical approaches often cannot be used when the patient's surface is blocked by immobilization devices. Millimeter waves (mmWaves) are capable of penetrating nonconductive objects. In this study, we investigated using mmWave technology to monitor patient surface displacements, as well as breathing and cardiac phases, through clothing and body fixtures. METHODS A mmWave device was mounted inside the bore of a ring-based radiotherapy linear accelerator and pointed at a reflective surface on top of the couch. Measurements were obtained at displacements of 10, 7.5, 5.0, 2.5, and 1.0 mm at heights 100, 150, and 200 mm below isocenter. Submillimeter displacements were performed at a height of 200 mm. Additionally, millimeter and submillimeter displacements were measured with and without a gown and body mold placed between the surface and the sensor. The device was programmed to transmit chirp signals at 77-81 GHz. The subject's surface was detected by fast Fourier transform (FFT) of the reflected chirp signal within a rough range bin. Fine displacements within that range bin were calculated through phase extraction and phase demodulation. The displacement data were sent through two separate bandpass filters with passbands of 0.1-0.6 and 0.8-2.0 Hz to obtain the subject's breathing and cardiac waveforms, respectively. The breathing and cardiac measurements were compared to those of a Vernier Respiration Monitor Belt and an electrocardiogram (EKG), respectively, to assess validity. RESULTS The device was able to detect millimeter and submillimeter displacements as small as 0.1 mm, as well as monitor displacement with an accuracy within 1 mm in the presence of an obstructive object. The device's breathing and cardiac waveforms exhibited a strong phase correlation between the respiration monitor belt (ρ = 0.9156) and EKG (ρ = 0.7895), respectively. CONCLUSIONS The mmWave device can monitor surface displacements with an accuracy better than 0.1 mm without obstructions and better than 1 mm with obstructions. It can also provide real-time monitoring of breathing and cardiac waveforms simultaneously with high correlation with traditional respiratory and cardiac monitoring devices. Overall, mmWave technology demonstrates potential for motion monitoring in the field of radiation oncology.
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Affiliation(s)
- Joshua Olick-Gibson
- Department of Radiation Oncology, Washington University in St. Louis School of Medicine, St. Louis, MO, 63110, USA
| | - Bin Cai
- Department of Radiation Oncology, Washington University in St. Louis School of Medicine, St. Louis, MO, 63110, USA
| | - Shuang Zhou
- Department of Radiation Oncology, Washington University in St. Louis School of Medicine, St. Louis, MO, 63110, USA
| | - Sasa Mutic
- Department of Radiation Oncology, Washington University in St. Louis School of Medicine, St. Louis, MO, 63110, USA
| | - Paul Carter
- Office of Technology Management, Washington University in St. Louis, St. Louis, MO, 63110, USA
| | - Geoff Hugo
- Department of Radiation Oncology, Washington University in St. Louis School of Medicine, St. Louis, MO, 63110, USA
| | - Tiezhi Zhang
- Department of Radiation Oncology, Washington University in St. Louis School of Medicine, St. Louis, MO, 63110, USA
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Bollinger D, Laugeman E, Li T, Hilliard J, Heermann A, Kim H, Hugo G, Mutic S, Dong L, Cai B. Technical Note: Dosimetric characterization of the dynamic beam flattening MLC sequence on a ring shaped, Jawless Linear Accelerator with double stacked MLC. Med Phys 2019; 47:948-957. [PMID: 31885088 DOI: 10.1002/mp.14001] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Revised: 12/16/2019] [Accepted: 12/16/2019] [Indexed: 11/07/2022] Open
Abstract
PURPOSE To characterize the dosimetric features and limitations of the dynamic beam flattening (DBF) on the Halcyon 2.0 linear accelerator (Varian Medical Systems). METHODS A predefined multi-leaf collimator (MLC) sequence was introduced and used to flatten the 6 MV flattening filter free (FFF) beam on the Halcyon 2.0. Dosimetric characterizations of the flattened beams, including beam flatness, symmetry, percent depth dose (PDD), output factor and MU linearity, were investigated. Flatness and symmetry were obtained from profile measurements with both radiographic films (EDR2) and a two dimensional ion-chamber array (IC Profiler, Sun Nuclear Corporation). MU linearity, output factors, and PDDs were measured in a water tank with a CC13 ion chamber (Scanditronix Wellhöfer, Nuremburg, Germany). In addition, the effect of the DBF sequence on 3D plan quality was evaluated by creating DBF plans for a 4-field box rectum and an AP/PA spine plan. Patient specific QA was performed on these plans. RESULTS At 100 cm SSD and 10 cm depth, a flatness of <3% was observed on both transversal and radial profiles for all square field sizes ≥10 cm with DBF. For both larger and smaller field sizes the flatness showed a tendency to increase as the fields got bigger or smaller, respectively. Similar trends in flatness were observed at all depths measured. All measured output factors for square field sizes ≥5 cm were within 1% of the TPS prediction. Linearity was ≤2.02% for all measurements. For both treatment sites, the MD judged the plans created for the Halcyon without the use of DBF not to be clinically acceptable, however considered both the TrueBeam plan and the Halcyon plan with the DBF sequence to be clinically acceptable. CONCLUSIONS The DBF sequence on the Halcyon and its characteristics were investigated. The analysis indicates that the DBF sequence can be used on the Halcyon to generate clinically acceptable 3D treatment plans.
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Affiliation(s)
- Douglas Bollinger
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Eric Laugeman
- Department of Radiation Oncology, Washington University, St. Louis, MO, 63110, USA
| | - Taoran Li
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Jessica Hilliard
- Department of Radiation Oncology, Washington University, St. Louis, MO, 63110, USA
| | - Ana Heermann
- Department of Radiation Oncology, Washington University, St. Louis, MO, 63110, USA
| | - Hyun Kim
- Department of Radiation Oncology, Washington University, St. Louis, MO, 63110, USA
| | - Geoff Hugo
- Department of Radiation Oncology, Washington University, St. Louis, MO, 63110, USA
| | - Sasa Mutic
- Department of Radiation Oncology, Washington University, St. Louis, MO, 63110, USA
| | - Lei Dong
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Bin Cai
- Department of Radiation Oncology, Washington University, St. Louis, MO, 63110, USA
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Abstract
This paper assesses the level and composition of contemporary Asian immigration to Australia and explores its processes and impacts. The final reversal of the White Australia Policy in the 1970s opened the door to substantial increases in Asian immigration, particularly from Vietnam, Malaysia, the Philippines, China, India and Hong Kong. Most migrants are entering through the family reunion, refugee and business migration categories. Vietnamese dominate both family reunion and refugee categories, but the recent prominence among family migrants of Filipino wives and fiancees of Australian men is drawing attention and controversy. Asian migrants tend to be young and female, but there are also great variations in their economic and social adaptations to Australia. Discrimination, exploitation and unemployment are among the problems faced by some Asian groups.
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Abstract
There has been an unprecedented increase in international population movement in the Asia-Pacific region in the last decade. The causes of this are complex and associated with the rapid economic and social change in the region, the forces of globalization, improvements in transport and communication and proliferation of migration networks. However, the present paper suggests that one element which needs to be considered in explaining contemporary international migration but especially in anticipating trends over the next decade are the differential patterns of growth of population within the region. While population growth overall has slowed, the work force age groups will continue to grow rapidly in Asia over the next decade or so and the contrasts between individual countries will increase. The proportion in the peak mobility age groups will thus continue to grow rapidly in particular countries and will be one of the elements contributing to increased levels of international migration within and out of the region.
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Hugo G. WE-H-202-03: Accounting for Large Geometric Changes During Radiotherapy. Med Phys 2016. [DOI: 10.1118/1.4958004] [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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Oh S, Weiss E, Christensen G, Hugo G, Williamson J. TU-AB-202-08: Generating Organ Surfaces to Overcome Random Contouring Errors and Slice Thickness Variations On Multimodality Images. Med Phys 2016. [DOI: 10.1118/1.4957430] [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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Guy C, Weiss E, Jan N, Reshko L, Christensen G, Hugo G. SU-F-J-67: Dosimetric Changes During Radiotherapy in Lung Cancer Patients with Atelectasis. Med Phys 2016. [DOI: 10.1118/1.4955975] [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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Karki K, Hugo G, Saraiya S, Jan N, Schuster J, Schutzer M, Fahrner L, Groves R, Ford J, Weiss E. TU-H-CAMPUS-JeP2-02: Interobserver Variability of CT, PET-CT and MRI Based Primary Tumor Delineation for Lung Cancer. Med Phys 2016. [DOI: 10.1118/1.4957685] [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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Guy C, Weiss E, Jan N, Christensen G, Hugo G. TU-AB-303-04: Characterizing CT-Derived Mass Change of Non-Tumor Pathology During Lung Radiotherapy. Med Phys 2015. [DOI: 10.1118/1.4925521] [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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Karki K, Hugo G, Ford J, Weiss E. TH-CD-204-02: Longitudinal Assessment of Radiation Treatment Response in Non-Small Cell Lung Cancer Using Intravoxel Incoherent Motion Model Diffusion-Weighted MRI. Med Phys 2015. [DOI: 10.1118/1.4926249] [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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Karki K, Ford J, Hugo G, Olsen K, Saraiya S, Weiss E. TH-CD-207-10: Effect of Noise On the Optimal B-Value Pairs for Obtaining Perfusion-Insensitive Apparent Diffusion Coefficient in Diffusion-Weighted MRI. Med Phys 2015. [DOI: 10.1118/1.4926268] [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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Weiss E, Hugo G, Jan N. Is There a Need for Reassessment of Internal Target Volumes (ITV) During Radiation Therapy for Locally Advanced Lung Cancers? Int J Radiat Oncol Biol Phys 2014. [DOI: 10.1016/j.ijrobp.2014.05.2376] [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: 10/24/2022]
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Saraiya S, Hugo G, Karki K, Olsen K, Groves R, Ford J, Weiss E. Evaluation of Diffusion-Weighted MRI to Differentiate Atelectasis From Lung Cancer in Radiation Therapy Planning. Int J Radiat Oncol Biol Phys 2014. [DOI: 10.1016/j.ijrobp.2014.05.1911] [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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Laugeman E, Weiss E, Chen S, Hugo G, Rosu M. SU-E-J-227: Breathing Pattern Consistency and Reproducibility: Comparative Analysis for Supine and Prone Body Positioning. Med Phys 2014. [DOI: 10.1118/1.4888280] [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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Balik S, Weiss E, Dogan N, fatyga M, Sleeman W, Wu Y, Hugo G. SU-F-BRF-07: Impact of Different Patient Setup Strategies in Adaptive Radiation Therapy with Simultaneous Integrated Volume-Adapted Boost of NSCLC. Med Phys 2014. [DOI: 10.1118/1.4889076] [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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Balik S, Weiss E, Jan N, Zhang L, Roman N, Christensen G, Williamson J, Hugo G. SU-E-J-151: Dosimetric Evaluation of DIR Mapped Contours for Image Guided Adaptive Radiotherapy with 4D Cone-Beam CT. Med Phys 2014. [DOI: 10.1118/1.4888204] [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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Karki K, Hugo G, Ford J, Olsen K, Saraiya S, Groves R, Weiss E. WE-G-18C-02: Estimation of Optimal B-Value Set for Obtaining Apparent Diffusion Coefficient Free From Perfusion in Non-Small Cell Lung Cancer. Med Phys 2014. [DOI: 10.1118/1.4889521] [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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Kipritidis J, Hugo G, Weiss E, Williamson J, Keall P. TU-F-17A-09: Four-Dimensional Cone Beam CT Ventilation Imaging Can Detect Interfraction Lung Function Variations for Locally Advanced Lung Cancer Patients. Med Phys 2014. [DOI: 10.1118/1.4889336] [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 S, Weiss E, Hugo G. TU-C-141-03: Block-Matching Registration for Localization of Locally-Advanced Lung Tumors During Image-Guided Radiotherapy. Med Phys 2013. [DOI: 10.1118/1.4815380] [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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Balik S, Weiss E, Jan N, Zhang L, Roman N, Sleeman W, Christensen G, Williamson J, Hugo G. TU-C-141-04: Evaluation of Clinical Acceptability of DIR Mapped Contours for Adaptive Radiotherapy with 4D Cone-Beam CT. Med Phys 2013. [DOI: 10.1118/1.4815381] [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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Bass C, Axente M, He J, Gobalakrishnan S, Zweit J, Hugo G, Pugachev A. WE-E-108-11: PET-Guided Selective Dose Escalation for a Small Animal Tumor Model. Med Phys 2013. [DOI: 10.1118/1.4815589] [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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Dial C, Hugo G, Siebers J. SU-E-J-208: Synthetic Datasets for Adaptive Radiotherapy Simulations in Lung Cancer Using Principal Component Analysis (PCA). Med Phys 2013. [DOI: 10.1118/1.4814420] [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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Hugo G, Olsen K, Ford J, Turlington D, Weiss E. WE-C-WAB-03: Correspondence Between FDG-PET and Diffusion-Weighted MRI After Deformable Registration in Locally-Advanced Non-Small Cell Lung Cancer. Med Phys 2013. [DOI: 10.1118/1.4815539] [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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Martin R, Ahmad M, Hugo G, Pan T. MO-F-WAB-10: Evaluation of Scan Time Required for Motion Tracking in Four-Dimensional Cone Beam CT Using Patient Data Sets. Med Phys 2013. [DOI: 10.1118/1.4815299] [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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Chen S, Weiss E, Roman N, Hugo G. MO-F-WAB-06: Validation Framework and Benchmarking for Markerless Tumor Trajectory Estimation. Med Phys 2013. [DOI: 10.1118/1.4815295] [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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Daniel M, Paquet C, Howard N, Coffee N, Taylor A, Adams R, Hugo G. Obesity and built environment: Does the association hold longitudinally? Obes Res Clin Pract 2012. [DOI: 10.1016/j.orcp.2012.08.082] [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: 11/29/2022]
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Baldock K, Paquet C, Howard N, Coffee N, Hugo G, Taylor A, Adams R, Daniel M. Greater perceived distance to fresh food retailers and physical activity resources is associated with increased risk of metabolic syndrome in a population-based sample. Obes Res Clin Pract 2012. [DOI: 10.1016/j.orcp.2012.08.179] [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: 11/16/2022]
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Bass C, Axente M, He J, Sundaresan G, Hirsch J, Hugo G, Zweit J, Pugachev A. SU-D-217A-04: Evaluation of the Spatial Concordance Between the Intratumoral Patterns of 18F-FLT and 18F-FDG Uptake in a Small Animal Tumor Model. Med Phys 2012; 39:3621. [DOI: 10.1118/1.4734701] [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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Dial C, Hugo G, Siebers J. TH-E-218-07: Sensitivity of Cumulative Dose Distributions to Deformable Image Registration Uncertainties Associated with Tumor Regression Dynamics. Med Phys 2012. [DOI: 10.1118/1.4736393] [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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Balik S, Hugo G, Weiss E, Jan N, Roman N, Sleeman W, Fatyga M, Christensen G, Murphy M, Lu J, Keall P, Williamson J. MO-F-BRA-02: Evaluation of 4D CT to 4D Cone-Beam CT Deformable Image Registration for Lung Cancer Adaptive Radiation Therapy. Med Phys 2012; 39:3875. [PMID: 28518270 DOI: 10.1118/1.4735821] [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 evaluate two deformable image registration (DIR) algorithms for the purpose of contour mapping to support image guided adaptive radiotherapy (IGART) with 4D cone beam CT (4DCBCT). METHODS Eleven locally advanced non-small cell lung cancer (NSCLC) patients underwent one planning 4D fan- beam CT (4DFBCT) and seven weekly 4DCBCT scans. Gross tumor volume (GTV) and carina were delineated by a physician in all 4D images. For day to day registration, the end of inspiration 4DFBCT phase was deformably registered to the corresponding phase in each 4DCBCT image. For phase to phase registration, the end of inspiration phase from each 4D image was registered to end of expiration phase. The delineated contours were warped using the resulting transforms and compared to the manual contours through Dice similarity coefficient (DSC), false positive and false negative indices, and, for carina, target registration error (TRE). Two DIR algorithms were tested: 1) small deformation, inverse consistent linear elastic (SICLE) algorithm and 2) Insight Toolkit diffeomorphic demons (DEMONS). RESULTS For day to day registrations, the mean DSC was 0.59 ± 0.16 after rigid registration, 0.72 ± 0.13 with SICLE and to 0.66 ± 0.18 with DEMONS. SICLE and DEMONS reduced TRE to 4.1 ± 2.1 mm and 5.8 ± 3.7 mm respectively, from 6.2 ± 3.5 mm; and reduced false positive index to 0.27 and 0.26 respectively from 0.46. Registration with the cone beam as the fixed image resulted in higher DSC than with the fan beam as fixed (p < 0.001). SICLE and DEMONS increased the DSC on average by 10.0% and 8.0% and reduced TRE by 2.8 mm and 2.9 mm respectively for phase to phase DIR. CONCLUSIONS DIR achieved more congruent mapping of target structures to delineations than rigid registration alone, although DIR performance varied with algorithm and patient. This work was supported by National Cancer Institute Grant No. P01 CA 116602.
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Affiliation(s)
- S Balik
- Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,University of Iowa.,Virginia Commonwealth University, Richmond, VA.,SUNY Upstate Medical Univ, Syracuse, NY.,University of Sydney, Sydney, NSW.,Virginia Commonwealth University, Richmond, VA
| | - G Hugo
- Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,University of Iowa.,Virginia Commonwealth University, Richmond, VA.,SUNY Upstate Medical Univ, Syracuse, NY.,University of Sydney, Sydney, NSW.,Virginia Commonwealth University, Richmond, VA
| | - E Weiss
- Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,University of Iowa.,Virginia Commonwealth University, Richmond, VA.,SUNY Upstate Medical Univ, Syracuse, NY.,University of Sydney, Sydney, NSW.,Virginia Commonwealth University, Richmond, VA
| | - N Jan
- Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,University of Iowa.,Virginia Commonwealth University, Richmond, VA.,SUNY Upstate Medical Univ, Syracuse, NY.,University of Sydney, Sydney, NSW.,Virginia Commonwealth University, Richmond, VA
| | - N Roman
- Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,University of Iowa.,Virginia Commonwealth University, Richmond, VA.,SUNY Upstate Medical Univ, Syracuse, NY.,University of Sydney, Sydney, NSW.,Virginia Commonwealth University, Richmond, VA
| | - W Sleeman
- Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,University of Iowa.,Virginia Commonwealth University, Richmond, VA.,SUNY Upstate Medical Univ, Syracuse, NY.,University of Sydney, Sydney, NSW.,Virginia Commonwealth University, Richmond, VA
| | - M Fatyga
- Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,University of Iowa.,Virginia Commonwealth University, Richmond, VA.,SUNY Upstate Medical Univ, Syracuse, NY.,University of Sydney, Sydney, NSW.,Virginia Commonwealth University, Richmond, VA
| | - G Christensen
- Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,University of Iowa.,Virginia Commonwealth University, Richmond, VA.,SUNY Upstate Medical Univ, Syracuse, NY.,University of Sydney, Sydney, NSW.,Virginia Commonwealth University, Richmond, VA
| | - M Murphy
- Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,University of Iowa.,Virginia Commonwealth University, Richmond, VA.,SUNY Upstate Medical Univ, Syracuse, NY.,University of Sydney, Sydney, NSW.,Virginia Commonwealth University, Richmond, VA
| | - J Lu
- Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,University of Iowa.,Virginia Commonwealth University, Richmond, VA.,SUNY Upstate Medical Univ, Syracuse, NY.,University of Sydney, Sydney, NSW.,Virginia Commonwealth University, Richmond, VA
| | - P Keall
- Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,University of Iowa.,Virginia Commonwealth University, Richmond, VA.,SUNY Upstate Medical Univ, Syracuse, NY.,University of Sydney, Sydney, NSW.,Virginia Commonwealth University, Richmond, VA
| | - J Williamson
- Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,Virginia Commonwealth University, Richmond, VA.,University of Iowa.,Virginia Commonwealth University, Richmond, VA.,SUNY Upstate Medical Univ, Syracuse, NY.,University of Sydney, Sydney, NSW.,Virginia Commonwealth University, Richmond, VA
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Yan C, Hugo G, Salguero FJ, Saleh-Sayah N, Weiss E, Sleeman WC, Siebers JV. A method to evaluate dose errors introduced by dose mapping processes for mass conserving deformations. Med Phys 2012; 39:2119-28. [PMID: 22482633 PMCID: PMC3326071 DOI: 10.1118/1.3684951] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2011] [Revised: 01/23/2012] [Accepted: 01/24/2012] [Indexed: 11/07/2022] Open
Abstract
PURPOSE To present a method to evaluate the dose mapping error introduced by the dose mapping process. In addition, apply the method to evaluate the dose mapping error introduced by the 4D dose calculation process implemented in a research version of commercial treatment planning system for a patient case. METHODS The average dose accumulated in a finite volume should be unchanged when the dose delivered to one anatomic instance of that volume is mapped to a different anatomic instance-provided that the tissue deformation between the anatomic instances is mass conserving. The average dose to a finite volume on image S is defined as d(S)=e(s)/m(S), where e(S) is the energy deposited in the mass m(S) contained in the volume. Since mass and energy should be conserved, when d(S) is mapped to an image R(d(S→R)=d(R)), the mean dose mapping error is defined as Δd(m)=|d(R)-d(S)|=|e(R)/m(R)-e(S)/m(S)|, where the e(R) and e(S) are integral doses (energy deposited), and m(R) and m(S) are the masses within the region of interest (ROI) on image R and the corresponding ROI on image S, where R and S are the two anatomic instances from the same patient. Alternatively, application of simple differential propagation yields the differential dose mapping error, Δd(d)=|∂d∂e*Δe+∂d∂m*Δm|=|(e(S)-e(R))m(R)-(m(S)-m(R))m(R) (2)*e(R)|=α|d(R)-d(S)| with α=m(S)/m(R). A 4D treatment plan on a ten-phase 4D-CT lung patient is used to demonstrate the dose mapping error evaluations for a patient case, in which the accumulated dose, D(R)=∑(S=0) (9)d(S→R), and associated error values (ΔD(m) and ΔD(d)) are calculated for a uniformly spaced set of ROIs. RESULTS For the single sample patient dose distribution, the average accumulated differential dose mapping error is 4.3%, the average absolute differential dose mapping error is 10.8%, and the average accumulated mean dose mapping error is 5.0%. Accumulated differential dose mapping errors within the gross tumor volume (GTV) and planning target volume (PTV) are lower, 0.73% and 2.33%, respectively. CONCLUSIONS A method has been presented to evaluate the dose mapping error introduced by the dose mapping process. This method has been applied to evaluate the 4D dose calculation process implemented in a commercial treatment planning system. The method could potentially be developed as a fully-automatic QA method in image guided adaptive radiation therapy (IGART).
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Affiliation(s)
- C Yan
- Department of Radiation Oncology, Virginia Commonwealth University, Richmond, VA 23298, USA.
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de Sherbinin A, Castro M, Gemenne F, Cernea MM, Adamo S, Fearnside PM, Krieger G, Lahmani S, Oliver-Smith A, Pankhurst A, Scudder T, Singer B, Tan Y, Wannier G, Boncour P, Ehrhart C, Hugo G, Pandey B, Shi G. Climate change. Preparing for resettlement associated with climate change. Science 2011; 334:456-7. [PMID: 22034418 DOI: 10.1126/science.1208821] [Citation(s) in RCA: 167] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Affiliation(s)
- A de Sherbinin
- Center for International Earth Science Information Network (CIESIN), The Earth Institute, Columbia University, Palisades, NY 10964, USA.
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Bass C, Axente M, He J, Gobalakrishnan S, Hirsch J, Hugo G, Zweit J, Pugachev A. SU-C-211-08: Deformable Registration and Analysis of Small Animal 18F-FLT and 18F-FDG PET/CT Images. Med Phys 2011. [DOI: 10.1118/1.3611498] [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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Lu J, Brackbill E, Zheng D, Weiss E, Hugo G, Keall P, Poulsen P, Fledelius W, Williamson J. SU-E-J-159: Correlation of Respiration-Induced Motion of an External Surrogate and Implanted Internal Markers. Med Phys 2011. [DOI: 10.1118/1.3611927] [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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Rosu M, Chen S, Hugo G, Weiss E. SU-E-J-120: Reduction in Breathing Motion Intra-Fraction Variability through Prone Body Positioning. Med Phys 2011. [DOI: 10.1118/1.3611888] [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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Dogan N, Sleeman W, Fatyga M, Hugo G, Christensen G, Weiss E. SU-E-J-46: Evaluation of Inter-Fraction Deformable Registration of 4DCT Scans: Direct vs. Composed Registration. Med Phys 2011. [DOI: 10.1118/1.3611814] [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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Badawi A, Weiss E, Brown A, Orton M, Hugo G. SU-EE-A3-01: Quantifying Anatomical Variability in Regressing Tumors during Active Breath Hold Radiotherapy: A Modal Dominant Deformations Approach. Med Phys 2010. [DOI: 10.1118/1.3468018] [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 S, Weiss E, Badawi A, Brown A, Orton M, Hugo G. SU-GG-J-54: Evaluation of Residual Errors in Online Guidance of Primary and Nodal Targets in Lung Cancer. Med Phys 2010. [DOI: 10.1118/1.3468278] [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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Chen S, Poulsen P, Weiss E, Keall P, Hugo G. TU-E-204B-05: Feasibility of Markerless 3D Tumor Trajectory Tracking in CBCT Projections Using Digital Subtraction Method. Med Phys 2010. [DOI: 10.1118/1.3469296] [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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Vile D, Hugo G, Weiss E, Lu J, Roman N, Williamson J. WE-D-204B-09: Interfraction Variability of Tumor Motion Trajectory from Serial 4D Cone-Beam CT Imaging during Audio-Visual Biofeedback. Med Phys 2010. [DOI: 10.1118/1.3469406] [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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Hugo G, Badawi A, Weiss E, Brown A, Orton M. SU-GG-J-89: Optimizing Principal Component Models for Interfraction Variation in Lung Cancer. Med Phys 2010. [DOI: 10.1118/1.3468313] [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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Gopan E, Glide-Hurst C, Hugo G. Breathing Pattern Changes throughout Lung Cancer Radiotherapy as Indicated by Tidal Volume. Int J Radiat Oncol Biol Phys 2009. [DOI: 10.1016/j.ijrobp.2009.07.1427] [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: 11/27/2022]
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Lu J, Weiss E, Zheng D, Rosu M, Hugo G, Venkat R, Gopalan S, Williamson J, Keall P. TH-D-BRC-07: Impact of Respiratory Biofeedback On Adaptively Sampled 4D-CBCT Image Quality: Initial Experiences. Med Phys 2009. [DOI: 10.1118/1.3182680] [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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Yan C, Hugo G, Sleeman W, Weiss E, Siebers J. TH-D-303A-08: A Method to Evaluate Dose Uncertainties Introduced by Dose Mapping Processes. Med Phys 2009. [DOI: 10.1118/1.3182691] [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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Hugo G, Badawi A, Glide-Hurst C. SU-FF-J-138: A Statistical Analysis of Lung Tumor Regression and Interfraction Geometric Variation. Med Phys 2009. [DOI: 10.1118/1.3181430] [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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Dogan N, Sleeman W, Yan C, Fatyga M, Wu J, Christensen G, Hugo G, Weiss E, Williamson J. MO-FF-A3-03: Quantitative Assessment of Automatic Anatomy Segmentation of 4D CT Images Using a Deformable Image Registration Algorithm. Med Phys 2009. [DOI: 10.1118/1.3182291] [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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