Literature DB >> 18845994

PET-CT in radiation oncology: the impact on diagnosis, treatment planning, and assessment of treatment response.

Dwight E Heron1, Regiane S Andrade, Sushil Beriwal, Ryan P Smith.   

Abstract

OBJECTIVE: To review the role of hybrid positron emission tomography (PET)-computed tomography (CT) systems in the design and management of cancer patients in the modern radiation oncology practice. PET is co-registered with CT and incorporated into a systematic approach to the staging, management, and assessment of response and surveillance of a variety of oncologic diagnoses.
METHODS: A review of the literature of functional imaging such as PET-CT in staging, treatment plan design, assessment of response and detection of recurrence for tumors involving the head and neck, lung, esophagus, rectum amongst others.
RESULTS: PET and PET-CT offer significant advantages which include more accurate staging which often results in management changes in roughly one-third of patients across a number of disease site. More accurate target definition may augment highly conformal radiation treatment plans using intensity-modulated radiation therapy and stereotactic radiosurgery and radiotherapy.
CONCLUSION: The emerging data appears to suggest the functional imaging may be a more useful tool to evaluate the therapeutic effect of treatment, detect early failures and prognosticate long-term outcome.

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Year:  2008        PMID: 18845994     DOI: 10.1097/COC.0b013e318162f150

Source DB:  PubMed          Journal:  Am J Clin Oncol        ISSN: 0277-3732            Impact factor:   2.339


  20 in total

Review 1.  A review of image-guided radiotherapy.

Authors:  George T Y Chen; Gregory C Sharp; Shinichiro Mori
Journal:  Radiol Phys Technol       Date:  2008-12-16

Review 2.  Computerized PET/CT image analysis in the evaluation of tumour response to therapy.

Authors:  W Lu; J Wang; H H Zhang
Journal:  Br J Radiol       Date:  2015-02-27       Impact factor: 3.039

3.  Classification and evaluation strategies of auto-segmentation approaches for PET: Report of AAPM task group No. 211.

Authors:  Mathieu Hatt; John A Lee; Charles R Schmidtlein; Issam El Naqa; Curtis Caldwell; Elisabetta De Bernardi; Wei Lu; Shiva Das; Xavier Geets; Vincent Gregoire; Robert Jeraj; Michael P MacManus; Osama R Mawlawi; Ursula Nestle; Andrei B Pugachev; Heiko Schöder; Tony Shepherd; Emiliano Spezi; Dimitris Visvikis; Habib Zaidi; Assen S Kirov
Journal:  Med Phys       Date:  2017-05-18       Impact factor: 4.071

Review 4.  The use of hyperpolarized carbon-13 magnetic resonance for molecular imaging.

Authors:  Sarmad Siddiqui; Stephen Kadlecek; Mehrdad Pourfathi; Yi Xin; William Mannherz; Hooman Hamedani; Nicholas Drachman; Kai Ruppert; Justin Clapp; Rahim Rizi
Journal:  Adv Drug Deliv Rev       Date:  2016-09-04       Impact factor: 15.470

Review 5.  Functional and molecular image guidance in radiotherapy treatment planning optimization.

Authors:  Shiva K Das; Randall K Ten Haken
Journal:  Semin Radiat Oncol       Date:  2011-04       Impact factor: 5.934

6.  Variability of textural features in FDG PET images due to different acquisition modes and reconstruction parameters.

Authors:  Paulina E Galavis; Christian Hollensen; Ngoneh Jallow; Bhudatt Paliwal; Robert Jeraj
Journal:  Acta Oncol       Date:  2010-10       Impact factor: 4.089

7.  Predictive modeling of outcomes following definitive chemoradiotherapy for oropharyngeal cancer based on FDG-PET image characteristics.

Authors:  Michael R Folkert; Jeremy Setton; Aditya P Apte; Milan Grkovski; Robert J Young; Heiko Schöder; Wade L Thorstad; Nancy Y Lee; Joseph O Deasy; Jung Hun Oh
Journal:  Phys Med Biol       Date:  2017-06-12       Impact factor: 3.609

8.  Hyperpolarized 13C magnetic resonance metabolic imaging: application to brain tumors.

Authors:  Ilwoo Park; Peder E Z Larson; Matthew L Zierhut; Simon Hu; Robert Bok; Tomoko Ozawa; John Kurhanewicz; Daniel B Vigneron; Scott R Vandenberg; C David James; Sarah J Nelson
Journal:  Neuro Oncol       Date:  2010-01-25       Impact factor: 12.300

9.  The association of 18F-deoxyglucose (FDG) uptake of PET with polymorphisms in the glucose transporter gene (SLC2A1) and hypoxia-related genes (HIF1A, VEGFA, APEX1) in non-small cell lung cancer. SLC2A1 polymorphisms and FDG-PET in NSCLC patients.

Authors:  Seong-Jang Kim; Sang-Hyun Hwang; In Joo Kim; Min Ki Lee; Chang Hun Lee; Sang-Yull Lee; Eun Yup Lee
Journal:  J Exp Clin Cancer Res       Date:  2010-06-12

10.  Genotyping analysis and ¹⁸FDG uptake in breast cancer patients: a preliminary research.

Authors:  Valentina Bravatà; Alessandro Stefano; Francesco P Cammarata; Luigi Minafra; Giorgio Russo; Stefania Nicolosi; Sabina Pulizzi; Cecilia Gelfi; Maria C Gilardi; Cristina Messa
Journal:  J Exp Clin Cancer Res       Date:  2013-04-30
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