Literature DB >> 31230358

Task Group 174 Report: Utilization of [18 F]Fluorodeoxyglucose Positron Emission Tomography ([18 F]FDG-PET) in Radiation Therapy.

Shiva K Das1, Ross McGurk1, Moyed Miften2, Sasa Mutic3, James Bowsher4, John Bayouth5, Yusuf Erdi6, Osama Mawlawi7, Ronald Boellaard8, Stephen R Bowen9, Lei Xing10, Jeffrey Bradley3, Heiko Schoder11, Fang-Fang Yin4, Daniel C Sullivan12, Paul Kinahan13.   

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.
© 2019 American Association of Physicists in Medicine.

Entities:  

Keywords:  FDG-PET; protocols; quality assurance; radiation therapy

Mesh:

Substances:

Year:  2019        PMID: 31230358     DOI: 10.1002/mp.13676

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  4 in total

Review 1.  Machine learning in quantitative PET: A review of attenuation correction and low-count image reconstruction methods.

Authors:  Tonghe Wang; Yang Lei; Yabo Fu; Walter J Curran; Tian Liu; Jonathon A Nye; Xiaofeng Yang
Journal:  Phys Med       Date:  2020-07-29       Impact factor: 2.685

2.  The use of systematic review evidence to support the development of guidelines for positron emission tomography: a cross-sectional survey.

Authors:  Qianrui Li; Wenxiu Hou; Ling Li; Minggang Su; Yan Ren; Wen Wang; Kang Zou; Rong Tian; Xin Sun
Journal:  Eur Radiol       Date:  2021-03-08       Impact factor: 5.315

Review 3.  Treatment Intensification in Locally Advanced/Unresectable NSCLC Through Combined Modality Treatment and Precision Dose Escalation.

Authors:  Jing Zeng; Stephen R Bowen
Journal:  Semin Radiat Oncol       Date:  2021-04       Impact factor: 5.934

Review 4.  Functional lung imaging in thoracic tumor radiotherapy: Application and progress.

Authors:  Pi-Xiao Zhou; Shu-Xu Zhang
Journal:  Front Oncol       Date:  2022-09-23       Impact factor: 5.738

  4 in total

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