Task Group 174 Report: Utilization of [<sup>18</sup> F]Fluorodeoxyglucose Positron Emission Tomography ([<sup>18</sup> F]FDG-PET) in Radiation Therapy.
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2019-10
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Abstract
The use of positron emission tomography (PET) in radiation therapy (RT) is rapidly increasing in the areas of staging, segmentation, treatment planning, and response assessment. The most common radiotracer is 18 F-fluorodeoxyglucose ([18 F]FDG), a glucose analog with demonstrated efficacy in cancer diagnosis and staging. However, diagnosis and RT planning are different endeavors with unique requirements, and very little literature is available for guiding physicists and clinicians in the utilization of [18 F]FDG-PET in RT. The two goals of this report are to educate and provide recommendations. The report provides background and education on current PET imaging systems, PET tracers, intensity quantification, and current utilization in RT (staging, segmentation, image registration, treatment planning, and therapy response assessment). Recommendations are provided on acceptance testing, annual and monthly quality assurance, scanning protocols to ensure consistency between interpatient scans and intrapatient longitudinal scans, reporting of patient and scan parameters in literature, requirements for incorporation of [18 F]FDG-PET in treatment planning systems, and image registration. The recommendations provided here are minimum requirements and are not meant to cover all aspects of the use of [18 F]FDG-PET for RT.
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Das, Shiva K, Ross McGurk, Moyed Miften, Sasa Mutic, James Bowsher, John Bayouth, Yusuf Erdi, Osama Mawlawi, et al. (2019). Task Group 174 Report: Utilization of [18 F]Fluorodeoxyglucose Positron Emission Tomography ([18 F]FDG-PET) in Radiation Therapy. Medical physics, 46(10). pp. e706–e725. 10.1002/mp.13676 Retrieved from https://hdl.handle.net/10161/22517.
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Scholars@Duke
Shiva Kumar Das
Intensity Modulated Radiotherapy optimization. Functional Image-guided radiotherapy (PET, SPECT). Modeling of Radiation-induced normal tissue complications (lung, cardiac) using neural nets, MART, self organizing maps, etc. Optimal selection of beam orientations for radiotherapy. Hyperthermia modeling.
Current Funded Grants:
NCI P01 CA042745-19: Hyperthermia and Perfusion Effects in Cancer Therapy Project 2: Real Time Modeling and Control Using Finite Elements and MRI (Program Director).
NCI 1R01 CA115748-01A1: Accurate Prediction of Cardiac and Lung Radiation Injury (Principal Investigator).
Varian Medical Systems: Incorporation of Functional Image-guidance in Radiotherapy Planning (Principal Investigator).
Graduate School Teaching:
MP322: Advanced Photon Beam Radiation Therapy Planning (Fall Semester)
Postdoctoral Research Associates (Past and Current):
Alan Baydush, Ph.D.
Shifeng Chen, Ph.D.
Kung-Shan Cheng, Ph.D.
Sarah McGuire, Ph.D.
Vadim Stakhursky, Ph.D.
Daniel Carl Sullivan
Research interests are in oncologic imaging, especially the clinical evaluation and validation of imaging biomarkers for therapeutic response assessment.
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