Literature DB >> 18268401

The role of PET in target localization for radiotherapy treatment planning.

Agata Rembielak1, Pat Price.   

Abstract

Positron emission tomography (PET) is currently accepted as an important tool in oncology, mostly for diagnosis, staging and restaging purposes. It provides a new type of information in radiotherapy, functional rather than anatomical. PET imaging can also be used for target volume definition in radiotherapy treatment planning. The need for very precise target volume delineation has arisen with the increasing use of sophisticated three-dimensional conformal radiotherapy techniques and intensity modulated radiation therapy. It is expected that better delineation of the target volume may lead to a significant reduction in the irradiated volume, thus lowering the risk of treatment complications (smaller safety margins). Better tumour visualisation also allows a higher dose of radiation to be applied to the tumour, which may lead to better tumour control. The aim of this article is to review the possible use of PET imaging in the radiotherapy of various cancers. We focus mainly on non-small cell lung cancer, lymphoma and oesophageal cancer, but also include current opinion on the use of PET-based planning in other tumours including brain, uterine cervix, rectum and prostate.

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Year:  2008        PMID: 18268401     DOI: 10.1159/000112207

Source DB:  PubMed          Journal:  Onkologie        ISSN: 0378-584X


  3 in total

1.  Symptomatic cardiac toxicity is predicted by dosimetric and patient factors rather than changes in 18F-FDG PET determination of myocardial activity after chemoradiotherapy for esophageal cancer.

Authors:  Andre Konski; Tianyu Li; Michael Christensen; Jonathan D Cheng; Jian Q Yu; Kevin Crawford; Oleh Haluszka; Jeffrey Tokar; Walter Scott; Neal J Meropol; Steven J Cohen; Alan Maurer; Gary M Freedman
Journal:  Radiother Oncol       Date:  2012-06-07       Impact factor: 6.280

Review 2.  Positron emission tomography imaging approaches for external beam radiation therapies: current status and future developments.

Authors:  P M Price; M M Green
Journal:  Br J Radiol       Date:  2011-03-22       Impact factor: 3.039

3.  Application of machine learning methodology for PET-based definition of lung cancer.

Authors:  A Kerhet; C Small; H Quon; T Riauka; L Schrader; R Greiner; D Yee; A McEwan; W Roa
Journal:  Curr Oncol       Date:  2010-02       Impact factor: 3.677

  3 in total

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