1
|
Rehani MM, Damilakis J, Bezak E, Duhaini I, Tabakov S, Ibbott G, Pipman Y, Renha SK, Chougule A, Russo P, Stoeva M. The International Organization for Medical Physics – a driving force for the global development of medical physics. Health Technol 2022; 12:617-631. [PMID: 35789953 PMCID: PMC9243961 DOI: 10.1007/s12553-022-00685-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 06/08/2022] [Indexed: 11/30/2022]
Abstract
The International Organization for Medical Physics (IOMP) is the world’s largest professional organization in the field of medical physics and has official non-governmental organization status with the World Health Organization (WHO) and the International Atomic Energy Agency (IAEA). IOMP is charged with a mission to advance medical physics practice worldwide by disseminating scientific and technical information, fostering the educational and professional development of medical physics and promoting the highest quality medical services for patients. IOMP’s activities are directed towards the promotion of medical physics globally, improving patient care, and contributing to the benefit of healthcare to the society. Major organizational activities include but are not limited to scientific events, international collaborations, dissemination of information, education, training, and research. For nearly 60 years of existence, IOMP turned into a key factor not only in the field of medical physics, but also healthcare, and other related disciplines. IOMP is looking forward to future perspectives in international collaboration and enhancement of the professional skills, all directed towards enhancing patient benefit.
Collapse
Affiliation(s)
- Madan M. Rehani
- Massachusetts General Hospital, Boston, USA
- International Organization for Medical Physics, York, UK
| | - John Damilakis
- University of Crete, Iraklion, Crete, Greece
- International Organization for Medical Physics, York, UK
| | - Eva Bezak
- The University of Adelaide, Adelaide, Australia
- International Organization for Medical Physics, York, UK
| | - Ibrahim Duhaini
- Varian Medical Systems, Palo Alto, CA USA
- International Organization for Medical Physics, York, UK
| | - Slavik Tabakov
- King’s College Hospital, London, UK
- International Organization for Medical Physics, York, UK
| | - Geoffrey Ibbott
- MD Anderson Cancer Center, Houston, USA
- International Organization for Medical Physics, York, UK
| | - Yakov Pipman
- Medical Physics for World Benefit, USA and Canada, Alexandria, VA, USA
- International Organization for Medical Physics, York, UK
| | - Simone Kudlulovic Renha
- National Commission of Nuclear Energy, Rio de Janeiro, Brazil
- International Organization for Medical Physics, York, UK
| | - Arun Chougule
- Swasthya Kalyan Group, Jaipur, India
- International Organization for Medical Physics, York, UK
| | - Paolo Russo
- Universita’ Di Napoli Federico II, Naples, Italy
- International Organization for Medical Physics, York, UK
| | - Magdalena Stoeva
- Medical University, Plovdiv, Bulgaria
- International Organization for Medical Physics, York, UK
| |
Collapse
|
2
|
Hsu I, Rodgers J, Shinohara K, Purdy J, Michalski J, Ibbott G, Roach M, Vigneault E, Ivker R, Pryzant R, Kuettel M, Taussky D, Gustafson G, Raben A, Sandler H. OC-0159 Long-Term Results of RTOG 0321: HDR Brachytherapy and External Beam Radiotherapy for Prostate Cancer. Radiother Oncol 2019. [DOI: 10.1016/s0167-8140(19)30579-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
|
3
|
Loughery B, Starkschall G, Hendrickson K, Prisciandaro J, Clark B, Fullerton G, Ibbott G, Jackson E, Burmeister J. Navigating the medical physics education and training landscape. J Appl Clin Med Phys 2018; 18:275-287. [PMID: 29125231 PMCID: PMC5689917 DOI: 10.1002/acm2.12202] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [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: 06/08/2017] [Revised: 08/29/2017] [Accepted: 09/19/2017] [Indexed: 11/25/2022] Open
Abstract
Purpose The education and training landscape has been profoundly reshaped by the ABR 2012/2014 initiative and the MedPhys Match. This work quantifies these changes and summarizes available reports, surveys, and statistics on education and training. Methods We evaluate data from CAMPEP‐accredited program websites, annual CAMPEP graduate and residency program reports, and surveys on the MedPhys Match and Professional Doctorate degree (DMP). Results From 2009–2015, the number of graduates from CAMPEP‐accredited graduate programs rose from 210 to 332, while CAMPEP‐accredited residency positions rose from 60 to 134. We estimate that approximately 60% of graduates of CAMPEP‐accredited graduate programs intend to enter clinical practice, however, only 36% of graduates were successful in acquiring a residency position in 2015. The maximum residency placement percentage for a graduate program is 70%, while the median for all programs is only 22%. Overall residency placement percentage for CAMPEP‐accredited program graduates from 2011–2015 was approximately 38% and 25% for those with a PhD and MS, respectively. The disparity between the number of clinically oriented graduates and available residency positions is perceived as a significant problem by over 70% of MedPhys Match participants responding to a post‐match survey. Approximately 32% of these respondents indicated that prior knowledge of this situation would have changed their decision to pursue graduate education in medical physics. Conclusion These data reveal a substantial disparity between the number of residency training positions and graduate students interested in these positions, and a substantial variability in residency placement percentage across graduate programs. Comprehensive data regarding current and projected supply and demand within the medical physics workforce are needed for perspective on these numbers. While the long‐term effects of changes in the education and training infrastructure are still unclear, available survey data suggest that these changes could negatively affect potential entrants to the profession.
Collapse
Affiliation(s)
- Brian Loughery
- Karmanos Cancer Center, Wayne State University, Oncology, Detroit, MI, USA
| | - George Starkschall
- The University of Texas MD Anderson Cancer Center, Radiation Physics, Houston, TX, USA
| | | | | | - Brenda Clark
- University of Ottawa, Radiology, Ottawa, ON, Canada
| | - Gary Fullerton
- University of Texas Health Science Center, Radiology, San Antonio, TX, USA
| | - Geoffrey Ibbott
- The University of Texas MD Anderson Cancer Center, Radiation Physics, Houston, TX, USA
| | - Edward Jackson
- University of Wisconsin, Medical Physics, Madison, MI, USA
| | - Jay Burmeister
- Karmanos Cancer Center, Wayne State University, Oncology, Detroit, MI, USA
| |
Collapse
|
4
|
Abstract
Purpose To characterize the response of plastic scintillation detectors (PSDs) to high-energy photon radiation as a function of magnetic field strength. Materials and Methods PSDs were placed inside a plastic phantom held at the center point between 2 magnets and irradiated using a 6-MV photon beam from a linear accelerator. The magnetic field was varied from 0 T to 1.5 T by 0.3-T increments. The light emission and stem-effect-corrected response as a function of magnetic field strength were obtained for both a commercial PSD (Exradin W1, Standard Imaging) and an in-house hyperspectral PSD. Spectral signatures were obtained for the in-house PSD, and light emission from a bare fiber was also measured. Results Light emission increased as magnetic field strength increased for all detectors tested. The tested PSDs exhibited an increase in light intensity of 10% to 20%, mostly owing to the increase in Cerenkov light produced within and transmitted along the optical fiber. When corrected for stem effects, the increase in PSD response went down to 2.4% for both detectors. This most likely represents the change in the inherent dose deposition within the phantom. Conclusion PSDs with a suitable stem-effect removal approach were less dependent on magnetic field strength and had better water equivalence than did ion chambers tested in previous studies. PSDs therefore show great promise for use in both quality assurance and in-vivo dosimetry applications in a magnetic field environment.
Collapse
Affiliation(s)
- F Therriault-Proulx
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Unit 1420, Houston, TX, USA
| | - Z Wen
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Unit 1420, Houston, TX, USA
| | - G Ibbott
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Unit 1420, Houston, TX, USA
| | - S Beddar
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Unit 1420, Houston, TX, USA
| |
Collapse
|
5
|
Mohamed AS, Bahig H, Aristophanous M, Blanchard P, Kamal M, Ding Y, Cardenas CE, Brock KK, Lai SY, Hutcheson KA, Phan J, Wang J, Ibbott G, Gabr RE, Narayana PA, Garden AS, Rosenthal DI, Gunn GB, Fuller CD. Prospective in silico study of the feasibility and dosimetric advantages of MRI-guided dose adaptation for human papillomavirus positive oropharyngeal cancer patients compared with standard IMRT. Clin Transl Radiat Oncol 2018; 11:11-18. [PMID: 30014042 PMCID: PMC6019867 DOI: 10.1016/j.ctro.2018.04.005] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2018] [Revised: 04/17/2018] [Accepted: 04/30/2018] [Indexed: 11/18/2022] Open
Abstract
PURPOSE We aim to determine the feasibility and dosimetric benefits of a novel MRI-guided IMRT dose-adaption strategy for human papillomavirus positive (HPV+) oropharyngeal squamous cell carcinoma (OPC). MATERIALS/METHODS Patients with locally advanced HPV+ OPC underwent pre-treatment and in-treatment MRIs every two weeks using RT immobilization setup. For each patient, two IMRT plans were created (i.e. standard and adaptive). The prescription dose for the standard plans was 2.12 Gy/fx for 33 fractions to the initial PTV. For adaptive plans, a new PTVadaptive was generated based on serial MRIs in case of detectable tumor shrinkage. Prescription dose to PTVadaptive was 2.12 Gy/fx to allow for maximum dose to the residual disease. Any previously involved volumes received minimally a floor dose of 50.16 Gy. Uninvolved elective nodal volumes were prescribed 50.16 Gy in 1.52 Gy/fx. Dosimetric parameters of organs at risk (OARs) were recorded for standard vs. adaptive plans. Normal tissue complication probability (NTCP) for toxicity endpoints was calculated using literature-derived multivariate logistic regression models. RESULTS Five patients were included in this pilot study, 3 men and 2 women. Median age was 58 years (range 45-69). Three tumors originated at the tonsillar fossa and two at the base of tongue. The average dose to 95% of initial PTV volume was 70.7 Gy (SD,0.3) for standard plans vs. 58.5 Gy (SD,2.0) for adaptive plans. The majority of OARs showed decrease in dosimetric parameters using adaptive plans vs. standard plans, particularly swallowing related structures. The average reduction in the probability of developing dysphagia ≥ grade2, feeding tube persistence at 6-month post-treatment and hypothyroidism at 1-year post-treatment was 11%, 4%, and 5%, respectively. The probability of xerostomia at 6-month was only reduced by 1% for adaptive plans vs. standard IMRT. CONCLUSION These in silico results showed that the proposed MRI-guided adaptive approach is technically feasible and advantageous in reducing dose to OARs, especially swallowing musculature.
Collapse
Affiliation(s)
- Abdallah S.R. Mohamed
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Clinical Oncology and Nuclear Medicine, Faculty of Medicine, University of Alexandria, Alexandria, Egypt
- MD Anderson Cancer Center/UT Health Graduate School of Biomedical Sciences, Houston, TX, USA
| | - Houda Bahig
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Radiation Oncology, Centre hospitalier de l'Université de Montréal (CHUM), Canada
| | - Michalis Aristophanous
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Pierre Blanchard
- Department of Radiation Oncology, Institut de Cancérologie Gustave Roussy, Paris, France
| | - Mona Kamal
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Clinical Oncology and Nuclear Medicine, Faculty of Medicine, University of Ain Shams, Cairo, Egypt
| | - Yao Ding
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Carlos E. Cardenas
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kristy K. Brock
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Stephen Y. Lai
- Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Katherine A. Hutcheson
- Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jack Phan
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jihong Wang
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Geoffrey Ibbott
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Refaat E. Gabr
- Department of Diagnostic & Interventional Imaging, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Ponnada A. Narayana
- Department of Diagnostic & Interventional Imaging, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Adam S. Garden
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - David I. Rosenthal
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - G. Brandon Gunn
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Clifton D. Fuller
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | |
Collapse
|
6
|
Yan Y, Yang J, Beddar S, Ibbott G, Wen Z, Court LE, Hwang KP, Kadbi M, Krishnan S, Fuller CD, Frank SJ, Yang J, Balter P, Kudchadker RJ, Wang J. A methodology to investigate the impact of image distortions on the radiation dose when using magnetic resonance images for planning. Phys Med Biol 2018. [PMID: 29528037 DOI: 10.1088/1361-6560/aab5c3] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [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
We developed a novel technique to study the impact of geometric distortion of magnetic resonance imaging (MRI) on intensity-modulated radiation therapy treatment planning. The measured 3D datasets of residual geometric distortion (a 1.5 T MRI component of an MRI linear accelerator system) was fitted with a second-order polynomial model to map the spatial dependence of geometric distortions. Then the geometric distortion model was applied to computed tomography (CT) image and structure data to simulate the distortion of MRI data and structures. Fourteen CT-based treatment plans were selected from patients treated for gastrointestinal, genitourinary, thoracic, head and neck, or spinal tumors. Plans based on the distorted CT and structure data were generated (as the distorted plans). Dose deviations of the distorted plans were calculated and compared with the original plans to study the dosimetric impact of MRI distortion. The MRI geometric distortion led to notable dose deviations in five of the 14 patients, causing loss of target coverage of up to 3.68% and dose deviations to organs at risk in three patients, increasing the mean dose to the chest wall by up to 6.19 Gy in a gastrointestinal patient, and increases the maximum dose to the lung by 5.17 Gy in a thoracic patient.
Collapse
Affiliation(s)
- Yue Yan
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America. Joint first authors
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
7
|
Lee H, Roed Y, O'Brien D, Ibbott G. EP-1733: Beam profile measurements using semiconductor, MRI, and optical techniques for MR-IGRT systems. Radiother Oncol 2018. [DOI: 10.1016/s0167-8140(18)32042-5] [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: 11/25/2022]
|
8
|
Lee HJ, Alqathami M, Blencowe A, Ibbott G. Iron-based radiochromic systems for UV dosimetry applications. Phys Med Biol 2018; 63:025010. [PMID: 29134951 DOI: 10.1088/1361-6560/aa9a64] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Phototherapy treatment using ultraviolet (UV) A and B light sources has long existed as a treatment option for various skin conditions. Quality control for phototherapy treatment recommended by the British Association of Dermatologists and British Photodermatology Group generally focused on instrumentation-based dosimetry measurements. The purpose of this study was to present an alternative, easily prepared dosimeter system for the measurement of UV dose and as a simple quality assurance technique for phototherapy treatments. Five different UVA-sensitive radiochromic dosimeter formulations were investigated and responded with a measurable and visible optical change both in solution and in gel form. Iron(III) reduction reaction formulations were found to be more sensitive to UVA compared to iron(II) oxidation formulations. One iron(III) reduction formulation was found to be especially promising due to its sensitivity to UVA dose, ease of production, and linear response up to a saturation point.
Collapse
Affiliation(s)
- Hannah J Lee
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States of America. The University of Texas MD Anderson Cancer Center, UTHealth Graduate School of Biomedical Sciences, Houston, TX, United States of America. Author to whom any correspondence should be addressed: The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Houston, TX 77030, United States of America
| | | | | | | |
Collapse
|
9
|
McCarroll R, Youssef B, Beadle B, Bojador M, Cardan R, Famiglietti R, Followill D, Ibbott G, Jhingran A, Trauernicht C, Balter P, Court L. Model for Estimating Power and Downtime Effects on Teletherapy Units in Low-Resource Settings. J Glob Oncol 2017; 3:563-571. [PMID: 29094096 PMCID: PMC5646876 DOI: 10.1200/jgo.2016.005306] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Purpose More than 6,500 megavoltage teletherapy units are needed worldwide, many in low-resource settings. Cobalt-60 units or linear accelerators (linacs) can fill this need. We have evaluated machine performance on the basis of patient throughput to provide insight into machine viability under various conditions in such a way that conclusions can be generalized to a vast array of clinical scenarios. Materials and Methods Data from patient treatment plans, peer-reviewed studies, and international organizations were combined to assess the relative patient throughput of linacs and cobalt-60 units that deliver radiotherapy with standard techniques under various power and maintenance support conditions. Data concerning the frequency and duration of power outages and downtime characteristics of the machines were used to model teletherapy operation in low-resource settings. Results Modeled average daily throughput was decreased for linacs because of lack of power infrastructure and for cobalt-60 units because of limited and decaying source strength. For conformal radiotherapy delivered with multileaf collimators, average daily patient throughput over 8 years of operation was equal for cobalt-60 units and linacs when an average of 1.83 hours of power outage occurred per 10-hour working day. Relative to conformal treatments delivered with multileaf collimators on the respective machines, the use of advanced techniques on linacs decreased throughput between 20% and 32% and, for cobalt machines, the need to manually place blocks reduced throughput up to 37%. Conclusion Our patient throughput data indicate that cobalt-60 units are generally best suited for implementation when machine operation might be 70% or less of total operable time because of power outages or mechanical repair. However, each implementation scenario is unique and requires consideration of all variables affecting implementation.
Collapse
Affiliation(s)
- Rachel McCarroll
- , , , , , , , and , The University of Texas MD Anderson Cancer Center; The University of Texas Graduate School of Biomedical Sciences at Houston, Houston, TX; , Benavides Cancer Institute, University of Santo Tomas Hospital, Manila, Philippines; , University of Alabama Birmingham, Birmingham, AL; , American University of Beirut Medical Center, Beirut, Lebanon; and , Groote Schuur Hospital, Cape Town, South Africa
| | - Bassem Youssef
- , , , , , , , and , The University of Texas MD Anderson Cancer Center; The University of Texas Graduate School of Biomedical Sciences at Houston, Houston, TX; , Benavides Cancer Institute, University of Santo Tomas Hospital, Manila, Philippines; , University of Alabama Birmingham, Birmingham, AL; , American University of Beirut Medical Center, Beirut, Lebanon; and , Groote Schuur Hospital, Cape Town, South Africa
| | - Beth Beadle
- , , , , , , , and , The University of Texas MD Anderson Cancer Center; The University of Texas Graduate School of Biomedical Sciences at Houston, Houston, TX; , Benavides Cancer Institute, University of Santo Tomas Hospital, Manila, Philippines; , University of Alabama Birmingham, Birmingham, AL; , American University of Beirut Medical Center, Beirut, Lebanon; and , Groote Schuur Hospital, Cape Town, South Africa
| | - Maureen Bojador
- , , , , , , , and , The University of Texas MD Anderson Cancer Center; The University of Texas Graduate School of Biomedical Sciences at Houston, Houston, TX; , Benavides Cancer Institute, University of Santo Tomas Hospital, Manila, Philippines; , University of Alabama Birmingham, Birmingham, AL; , American University of Beirut Medical Center, Beirut, Lebanon; and , Groote Schuur Hospital, Cape Town, South Africa
| | - Rex Cardan
- , , , , , , , and , The University of Texas MD Anderson Cancer Center; The University of Texas Graduate School of Biomedical Sciences at Houston, Houston, TX; , Benavides Cancer Institute, University of Santo Tomas Hospital, Manila, Philippines; , University of Alabama Birmingham, Birmingham, AL; , American University of Beirut Medical Center, Beirut, Lebanon; and , Groote Schuur Hospital, Cape Town, South Africa
| | - Robin Famiglietti
- , , , , , , , and , The University of Texas MD Anderson Cancer Center; The University of Texas Graduate School of Biomedical Sciences at Houston, Houston, TX; , Benavides Cancer Institute, University of Santo Tomas Hospital, Manila, Philippines; , University of Alabama Birmingham, Birmingham, AL; , American University of Beirut Medical Center, Beirut, Lebanon; and , Groote Schuur Hospital, Cape Town, South Africa
| | - David Followill
- , , , , , , , and , The University of Texas MD Anderson Cancer Center; The University of Texas Graduate School of Biomedical Sciences at Houston, Houston, TX; , Benavides Cancer Institute, University of Santo Tomas Hospital, Manila, Philippines; , University of Alabama Birmingham, Birmingham, AL; , American University of Beirut Medical Center, Beirut, Lebanon; and , Groote Schuur Hospital, Cape Town, South Africa
| | - Geoffrey Ibbott
- , , , , , , , and , The University of Texas MD Anderson Cancer Center; The University of Texas Graduate School of Biomedical Sciences at Houston, Houston, TX; , Benavides Cancer Institute, University of Santo Tomas Hospital, Manila, Philippines; , University of Alabama Birmingham, Birmingham, AL; , American University of Beirut Medical Center, Beirut, Lebanon; and , Groote Schuur Hospital, Cape Town, South Africa
| | - Anuja Jhingran
- , , , , , , , and , The University of Texas MD Anderson Cancer Center; The University of Texas Graduate School of Biomedical Sciences at Houston, Houston, TX; , Benavides Cancer Institute, University of Santo Tomas Hospital, Manila, Philippines; , University of Alabama Birmingham, Birmingham, AL; , American University of Beirut Medical Center, Beirut, Lebanon; and , Groote Schuur Hospital, Cape Town, South Africa
| | - Christoph Trauernicht
- , , , , , , , and , The University of Texas MD Anderson Cancer Center; The University of Texas Graduate School of Biomedical Sciences at Houston, Houston, TX; , Benavides Cancer Institute, University of Santo Tomas Hospital, Manila, Philippines; , University of Alabama Birmingham, Birmingham, AL; , American University of Beirut Medical Center, Beirut, Lebanon; and , Groote Schuur Hospital, Cape Town, South Africa
| | - Peter Balter
- , , , , , , , and , The University of Texas MD Anderson Cancer Center; The University of Texas Graduate School of Biomedical Sciences at Houston, Houston, TX; , Benavides Cancer Institute, University of Santo Tomas Hospital, Manila, Philippines; , University of Alabama Birmingham, Birmingham, AL; , American University of Beirut Medical Center, Beirut, Lebanon; and , Groote Schuur Hospital, Cape Town, South Africa
| | - Laurence Court
- , , , , , , , and , The University of Texas MD Anderson Cancer Center; The University of Texas Graduate School of Biomedical Sciences at Houston, Houston, TX; , Benavides Cancer Institute, University of Santo Tomas Hospital, Manila, Philippines; , University of Alabama Birmingham, Birmingham, AL; , American University of Beirut Medical Center, Beirut, Lebanon; and , Groote Schuur Hospital, Cape Town, South Africa
| |
Collapse
|
10
|
McEwen M, DeWerd L, Ibbott G, Followill D, Rogers DWO, Seltzer S, Seuntjens J, Kawachi T, Katayose T, Kodama T, Miyasaka R. Addendum to the AAPM's TG-51 Protocol for Clinical Reference Dosimetry of High-Energy Photon Beams. Igaku Butsuri 2017; 37:2-24. [PMID: 28924094 DOI: 10.11323/jjmp.37.1_2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
| | | | | | | | - David W O Rogers
- Carleton Laboratory for Radiotherapy Physics, Physics Department, Carleton University
| | | | | | | | | | | | | |
Collapse
|
11
|
Lee HJ, Won Choi G, Alqathami M, Kadbi M, Ibbott G. Using 3D dosimetry to quantify the Electron Return Effect (ERE) for MR-image-guided radiation therapy (MR-IGRT) applications. ACTA ACUST UNITED AC 2017. [DOI: 10.1088/1742-6596/847/1/012057] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
|
12
|
Roed Y, Pinsky L, Ibbott G. EP-1443: Measurement of 3D dose distributions from an MR Linac with gel dosimetry. Radiother Oncol 2017. [DOI: 10.1016/s0167-8140(17)31878-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
|
13
|
|
14
|
Followill D, Ibbott G, Hanson W, Purdy JA, Stovall M, Almond P. Robert J. Shalek, Ph.D., J.D. Med Phys 2016; 43:4396. [DOI: 10.1118/1.4954207] [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
|
15
|
Roed Y, Kadbi M, Wang J, Pinsky L, Ibbott G. SU-G-JeP2-11: Polymer Gels as 3D QA Devices in Magnetic Resonance-Guided Radiation Therapy. Med Phys 2016. [DOI: 10.1118/1.4957031] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
|
16
|
Lee H, Alqathami M, Kadbi M, Wang J, Blencowe A, Ibbott G. TH-CD-BRA-08: Novel Iron-Based Radiation Reporting Systems as 4D Dosimeters for MR-Guided Radiation Therapy. Med Phys 2016. [DOI: 10.1118/1.4958151] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
|
17
|
Therriault-Proulx F, Wen Z, Ibbott G, Beddar S. TH-CD-BRA-12: Impact of a Magnetic Field On the Response From a Plastic Scintillation Detector. Med Phys 2016. [DOI: 10.1118/1.4958155] [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
|
18
|
Choi G, Lee H, Alqathami M, Ibbott G. TH-AB-BRA-11: Using 3D Dosimeters for the Investigation of the Electron Return Effect (ERE) in MR-Guided Radiation Therapy: A Feasibility Study. Med Phys 2016. [DOI: 10.1118/1.4958062] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
|
19
|
Wen Z, Wang J, Jiang W, O'Brien D, Sawakuchi G, Ibbott G. SU-G-BRB-08: Investigation On the Magnetic Field Effect On TLDs, OSLDs, and Gafchromic Films Using An MR-Linac. Med Phys 2016. [DOI: 10.1118/1.4956915] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
|
20
|
Fried D, Meier J, Mawlawi O, Zhou S, Ibbott G, Liao Z, Court L. MO-DE-207B-07: Assessment of Reproducibility Of FDG-PET-Based Radiomics Features Across Scanners Using Phantom Imaging. Med Phys 2016. [DOI: 10.1118/1.4957256] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
|
21
|
Wang J, Rubinstein A, Ohrt J, Ibbott G, Wen Z. TH-CD-BRA-04: Effect of a Strong Magnetic Field On TLDs, OSLDs, and Gafchromic Films Using An Electromagnet. Med Phys 2016. [DOI: 10.1118/1.4958147] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
|
22
|
Lee H, Alqathami M, Kadbi M, Wang J, Blencowe A, Ibbott G. SU-G-JeP2-04: Comparison Between Fricke-Type 3D Radiochromic Dosimeters for Real-Time Dose Distribution Measurements in MR-Guided Radiation Therapy. Med Phys 2016. [DOI: 10.1118/1.4957024] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
|
23
|
Wen Z, Therriault-Proulx F, Owens C, Ibbott G, Beddar S. SU-F-J-50: Study On the Magnetic Field Effect On the Exradin W1 Plastic Scintillation Detector. Med Phys 2016. [DOI: 10.1118/1.4955958] [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
|
24
|
Alqathami M, Lee H, Won Choi G, Blencowe A, Wen Z, Adamovics J, Ibbott G. SU-G-TeP2-06: Development of Novel Radiochromic Films for Radiotherapy Dosimetry. Med Phys 2016. [DOI: 10.1118/1.4957041] [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
|
25
|
Xue J, Park J, Kim L, Balter P, Ohrt J, Kirsner S, Wang C, Ibbott G. TU-D-201-05: Validation of Treatment Planning Dose Calculations: Experience Working with MPPG 5.a. Med Phys 2016. [DOI: 10.1118/1.4957471] [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
|
26
|
Wang J, Yung J, Kadbi M, Ding Y, Fuller C, Ibbott G. SU-F-J-143: Initial Assessment of Image Quality of An Integrated MR-Linac System with ACR Phantom. Med Phys 2016. [DOI: 10.1118/1.4956051] [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
|
27
|
Yan Y, Yang J, Beddar S, Ibbott G, Balter P, Kudchadker R, Krishnan S, Fuller C, Wang J. SU-F-J-168: Dosimetric Impact of MR Image Distortion in Treatment Planning. Med Phys 2016. [DOI: 10.1118/1.4956076] [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
|
28
|
Ibbott G. MO-G-204-02: Assessing Cognitive Expertise of Medical Physics Diplomates. Med Phys 2016. [DOI: 10.1118/1.4957366] [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
|
29
|
Wang J, Bosco G, Darenbourg B, Ibbott G. SU-F-J-144: Scatter and Leakage Survey of An Integrated MR-Linac System. Med Phys 2016. [DOI: 10.1118/1.4956052] [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
|
30
|
Carroll M, Alqathami M, Ibbott G. SU-F-T-164: Investigation of PRESAGE Formulation On Signal Quenching in a Proton Beam. Med Phys 2016. [DOI: 10.1118/1.4956300] [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
|
31
|
Fried D, Zhang L, Fave X, Ibbott G, Zhou S, Mawlawi O, Liao Z, Court L. MO-DE-207B-10: Impact of Morphologic Characteristics On Radiomics Features From Contast-Enhanced CT for Primary Lung Tumors. Med Phys 2016. [DOI: 10.1118/1.4957259] [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
|
32
|
Ibbott G. MO-B-BRB-04: 3D Dosimetry in End-To-End Dosimetry QA. Med Phys 2016. [DOI: 10.1118/1.4957186] [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
|
33
|
Roed Y, Wang J, Pinsky L, Ibbott G. EP-1513: Polymer gels enable volumetric dosimetry of dose distributions from an MR-guided linac. Radiother Oncol 2016. [DOI: 10.1016/s0167-8140(16)32763-3] [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: 10/21/2022]
|
34
|
O'Brien D, Roberts D, Towe S, Ibbott G, Sawakuchi G. PO-0799: Beam quality specifiers for an integrated MRI-linac. Radiother Oncol 2016. [DOI: 10.1016/s0167-8140(16)32049-7] [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: 11/28/2022]
|
35
|
Alqathami M, Blencowe A, Geso M, Ibbott G. Quantitative 3D Determination of Radiosensitization by Bismuth-Based Nanoparticles. J Biomed Nanotechnol 2016; 12:464-71. [DOI: 10.1166/jbn.2016.2183] [Citation(s) in RCA: 23] [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: 11/23/2022]
|
36
|
|
37
|
Fried DV, Mawlawi O, Zhang L, Fave X, Zhou S, Ibbott G, Liao Z, Court LE. Potential Use of (18)F-fluorodeoxyglucose Positron Emission Tomography-Based Quantitative Imaging Features for Guiding Dose Escalation in Stage III Non-Small Cell Lung Cancer. Int J Radiat Oncol Biol Phys 2015; 94:368-76. [PMID: 26853345 DOI: 10.1016/j.ijrobp.2015.10.029] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2015] [Revised: 10/07/2015] [Accepted: 10/20/2015] [Indexed: 12/25/2022]
Abstract
PURPOSE To determine whether previously identified quantitative image features (QIFs) based on (18)F-fluorodeoxyglucose positron emission tomography (FDG-PET) (co-occurrence matrix energy and solidity) are able to isolate subgroups of patients who would receive a benefit or detriment from dose escalation in terms of overall survival (OS) or progression-free survival (PFS). METHODS AND MATERIALS Subgroups of a previously analyzed 225 patient cohort were generated with the use of 5-percentile increment cutoff values of disease solidity and primary tumor co-occurrence matrix energy. The subgroups were analyzed with a log-rank test to determine whether there was a difference in OS and PFS between patients treated with 60 to 70 Gy and those receiving 74 Gy. RESULTS In the entire patient cohort, there was no statistical difference in terms of OS or PFS between patients receiving 74 Gy and those receiving 60 to 70 Gy. It was qualitatively observed that as disease solidity and primary co-occurrence matrix energy increased, patients receiving 74 Gy had an improved OS and PFS compared with those receiving 60 to 70 Gy. The opposite trend (detriment of receiving 74 Gy) was also observed regarding low values of disease solidity and primary co-occurrence matrix energy. CONCLUSIONS FDG-PET-based QIFs were found to be capable of isolating subgroups of patients who received a benefit or detriment from dose escalation.
Collapse
Affiliation(s)
- David V Fried
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas; Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, Texas.
| | - Osama Mawlawi
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Lifei Zhang
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Xenia Fave
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas; Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Shouhao Zhou
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Geoffrey Ibbott
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas; Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Zhongxing Liao
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Laurence E Court
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas; Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, Texas
| |
Collapse
|
38
|
Fried DV, Mawlawi O, Zhang L, Fave X, Zhou S, Ibbott G, Liao Z, Court LE. Stage III Non-Small Cell Lung Cancer: Prognostic Value of FDG PET Quantitative Imaging Features Combined with Clinical Prognostic Factors. Radiology 2015; 278:214-22. [PMID: 26176655 DOI: 10.1148/radiol.2015142920] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
PURPOSE To determine whether quantitative imaging features from pretreatment positron emission tomography (PET) can enhance patient overall survival risk stratification beyond what can be achieved with conventional prognostic factors in patients with stage III non-small cell lung cancer (NSCLC). MATERIALS AND METHODS The institutional review board approved this retrospective chart review study and waived the requirement to obtain informed consent. The authors retrospectively identified 195 patients with stage III NSCLC treated definitively with radiation therapy between January 2008 and January 2013. All patients underwent pretreatment PET/computed tomography before treatment. Conventional PET metrics, along with histogram, shape and volume, and co-occurrence matrix features, were extracted. Linear predictors of overall survival were developed from leave-one-out cross-validation. Predictive Kaplan-Meier curves were used to compare the linear predictors with both quantitative imaging features and conventional prognostic factors to those generated with conventional prognostic factors alone. The Harrell concordance index was used to quantify the discriminatory power of the linear predictors for survival differences of at least 0, 6, 12, 18, and 24 months. Models were generated with features present in more than 50% of the cross-validation folds. RESULTS Linear predictors of overall survival generated with both quantitative imaging features and conventional prognostic factors demonstrated improved risk stratification compared with those generated with conventional prognostic factors alone in terms of log-rank statistic (P = .18 vs P = .0001, respectively) and concordance index (0.62 vs 0.58, respectively). The use of quantitative imaging features selected during cross-validation improved the model using conventional prognostic factors alone (P = .007). Disease solidity and primary tumor energy from the co-occurrence matrix were found to be selected in all folds of cross-validation. CONCLUSION Pretreatment PET features were associated with overall survival when adjusting for conventional prognostic factors in patients with stage III NSCLC.
Collapse
Affiliation(s)
- David V Fried
- From the Departments of Radiation Physics (D.V.F., O.M., L.Z., X.F., G.I., L.E.C.), Imaging Physics (O.M.), Biostatistics (S.Z.), and Radiation Oncology (Z.L.), the University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030; and Graduate School of Biomedical Sciences, the University of Texas Health Science Center at Houston, Houston, Tex (D.V.F., X.F., G.I., L.E.C.)
| | - Osama Mawlawi
- From the Departments of Radiation Physics (D.V.F., O.M., L.Z., X.F., G.I., L.E.C.), Imaging Physics (O.M.), Biostatistics (S.Z.), and Radiation Oncology (Z.L.), the University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030; and Graduate School of Biomedical Sciences, the University of Texas Health Science Center at Houston, Houston, Tex (D.V.F., X.F., G.I., L.E.C.)
| | - Lifei Zhang
- From the Departments of Radiation Physics (D.V.F., O.M., L.Z., X.F., G.I., L.E.C.), Imaging Physics (O.M.), Biostatistics (S.Z.), and Radiation Oncology (Z.L.), the University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030; and Graduate School of Biomedical Sciences, the University of Texas Health Science Center at Houston, Houston, Tex (D.V.F., X.F., G.I., L.E.C.)
| | - Xenia Fave
- From the Departments of Radiation Physics (D.V.F., O.M., L.Z., X.F., G.I., L.E.C.), Imaging Physics (O.M.), Biostatistics (S.Z.), and Radiation Oncology (Z.L.), the University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030; and Graduate School of Biomedical Sciences, the University of Texas Health Science Center at Houston, Houston, Tex (D.V.F., X.F., G.I., L.E.C.)
| | - Shouhao Zhou
- From the Departments of Radiation Physics (D.V.F., O.M., L.Z., X.F., G.I., L.E.C.), Imaging Physics (O.M.), Biostatistics (S.Z.), and Radiation Oncology (Z.L.), the University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030; and Graduate School of Biomedical Sciences, the University of Texas Health Science Center at Houston, Houston, Tex (D.V.F., X.F., G.I., L.E.C.)
| | - Geoffrey Ibbott
- From the Departments of Radiation Physics (D.V.F., O.M., L.Z., X.F., G.I., L.E.C.), Imaging Physics (O.M.), Biostatistics (S.Z.), and Radiation Oncology (Z.L.), the University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030; and Graduate School of Biomedical Sciences, the University of Texas Health Science Center at Houston, Houston, Tex (D.V.F., X.F., G.I., L.E.C.)
| | - Zhongxing Liao
- From the Departments of Radiation Physics (D.V.F., O.M., L.Z., X.F., G.I., L.E.C.), Imaging Physics (O.M.), Biostatistics (S.Z.), and Radiation Oncology (Z.L.), the University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030; and Graduate School of Biomedical Sciences, the University of Texas Health Science Center at Houston, Houston, Tex (D.V.F., X.F., G.I., L.E.C.)
| | - Laurence E Court
- From the Departments of Radiation Physics (D.V.F., O.M., L.Z., X.F., G.I., L.E.C.), Imaging Physics (O.M.), Biostatistics (S.Z.), and Radiation Oncology (Z.L.), the University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030; and Graduate School of Biomedical Sciences, the University of Texas Health Science Center at Houston, Houston, Tex (D.V.F., X.F., G.I., L.E.C.)
| |
Collapse
|
39
|
Lee H, Rubinstein A, Ibbott G. SU-E-J-203: Investigation of 1.5T Magnetic Field Dose Effects On Organs of Different Density. Med Phys 2015. [DOI: 10.1118/1.4924289] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
|
40
|
O'Brien DJ, Hackett SL, van Asselen B, Ibbott G, Raaymakers BW, Sawakuchi GO, Wolthaus JWH. TH-CD-304-08: Small Air-Gaps Affect the Response of Ionization Chambers in the Presence of a 1.5 T Magnetic Field. Med Phys 2015. [DOI: 10.1118/1.4926214] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
|
41
|
Taylor P, Lowenstein J, Kry S, Ibbott G, Followill D. TU-EF-304-06: A Comparison of CT Number to Relative Linear Stopping Power Conversion Curves Used by Proton Therapy Centers. Med Phys 2015. [DOI: 10.1118/1.4925661] [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
|
42
|
O'Brien DJ, Mathis MVP, Roberts DA, Ibbott G, Sawakuchi GO. TU-F-CAMPUS-T-01: Calculation of KQ for a Variety of Commercially Available Ionization Chambers in the Presence of An External Magnetic Field for MR-Linac Dosimetry. Med Phys 2015. [DOI: 10.1118/1.4925801] [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
|
43
|
Roed Y, Tailor R, Pinsky L, Ibbott G. SU-E-T-716: Suitability Study of a Unique 3D Dosimeter for Commissioning Radiation Treatment Machines. Med Phys 2015. [DOI: 10.1118/1.4925080] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
|
44
|
Wen Z, Alvarez P, Ibbott G. SU-E-J-208: Feasibility Study On Using Small Plastic Phantoms for Auditing Radiation Output of MR-Linac Systems. Med Phys 2015. [DOI: 10.1118/1.4924294] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
|
45
|
Wang J, Yang J, Hwang K, Wen Z, Court L, Ibbott G. SU-E-J-227: Evaluation of Residual Geometric Distortion in MRI for Treatment Planning. Med Phys 2015. [DOI: 10.1118/1.4924313] [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
|
46
|
Carroll M, Alqathami M, Blencowe A, Ibbott G. SU-E-T-515: Investigating the Linear Energy Transfer Dependency of Different PRESAGE Formulations in a Proton Beam. Med Phys 2015. [DOI: 10.1118/1.4924877] [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
|
47
|
Wang J, Yang J, Marshall S, Wen Z, Court L, Ibbott G. SU-E-J-205: Dose Distribution Differences Caused by System Related Geometric Distortion in MRI-Guided Radiation Treatment System. Med Phys 2015. [DOI: 10.1118/1.4924291] [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
|
48
|
Lee H, Alqathami M, Wang J, Blencowe A, Ibbott G. SU-E-T-516: Investigation of a Novel Radiochromic Radiation Reporting System Utilizing the Reduction of Ferric Ion. Med Phys 2015. [DOI: 10.1118/1.4924878] [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
|
49
|
Lim T, Wang J, Frank S, Stafford R, Bruno T, Bathala T, Mahmood U, Pugh T, Ibbott G, Kudchadker R. SU-E-J-214: MR Protocol Development to Visualize Sirius MRI Markers in Prostate Brachytherapy Patients for MR-Based Post-Implant Dosimetry. Med Phys 2015. [DOI: 10.1118/1.4924300] [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
|
50
|
Steinmann A, Adamovics J, Followill D, Ibbott G. SU-E-T-171: Characterization of the New Xoft Axxent Electronic Brachytherapy Source Using PRESAGE Dosimeters. Med Phys 2015. [DOI: 10.1118/1.4924533] [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
|