Literature DB >> 15937310

Use of PET for monitoring cancer therapy and for predicting outcome.

Wolfgang A Weber1.   

Abstract

PET with the glucose analog (18)F-FDG is increasingly used to monitor tumor response in patients undergoing chemotherapy and chemoradiotherapy. Numerous studies have shown that (18)F-FDG PET is an accurate test for differentiating residual viable tumor tissue from therapy-induced fibrosis. Furthermore, quantitative assessment of therapy-induced changes in tumor (18)F-FDG uptake may allow the prediction of tumor response and patient outcome very early in the course of therapy. Treatment may be adjusted according to the chemosensitivity and radiosensitivity of the tumor tissue in an individual patient. Thus, (18)F-FDG PET has an enormous potential to reduce the side effects and costs of ineffective therapy. This review focuses on the practical aspects of (18)F-FDG PET for treatment monitoring and on how to perform a quantitative assessment of tumor (18)F-FDG uptake in clinical studies.

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Year:  2005        PMID: 15937310

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  112 in total

1.  Dose-response relationship in cyclophosphamide-treated B-cell lymphoma xenografts monitored with [18F]FDG PET.

Authors:  Lieselot Brepoels; Marijke De Saint-Hubert; Sigrid Stroobants; Gregor Verhoef; Jan Balzarini; Luc Mortelmans; Felix M Mottaghy
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-05-12       Impact factor: 9.236

2.  The role of early ¹⁸F-FDG PET/CT in prediction of progression-free survival after ⁹⁰Y radioembolization: comparison with RECIST and tumour density criteria.

Authors:  I Zerizer; A Al-Nahhas; D Towey; P Tait; B Ariff; H Wasan; G Hatice; N Habib; T Barwick
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-05-30       Impact factor: 9.236

3.  The engagement of FDG PET/CT image quality and harmonized quantification: from competitive to complementary.

Authors:  Ronald Boellaard
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-01       Impact factor: 9.236

Review 4.  (99m)Tc-Annexin A5 quantification of apoptotic tumor response: a systematic review and meta-analysis of clinical imaging trials.

Authors:  Tarik Z Belhocine; Francis G Blankenberg; Marina S Kartachova; Larry W Stitt; Jean-Luc Vanderheyden; Frank J P Hoebers; Christophe Van de Wiele
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-08-16       Impact factor: 9.236

Review 5.  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

6.  Defining co-related parameters between 'metabolic' flare and 'clinical', 'biochemical', and 'osteoblastic' flare and establishing guidelines for assessing response to treatment in cancer.

Authors:  Sandip Basu; Abass Alavi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2007-04       Impact factor: 9.236

7.  Deep Auto-context Convolutional Neural Networks for Standard-Dose PET Image Estimation from Low-Dose PET/MRI.

Authors:  Lei Xiang; Yu Qiao; Dong Nie; Le An; Qian Wang; Dinggang Shen
Journal:  Neurocomputing       Date:  2017-06-29       Impact factor: 5.719

8.  Respiratory-gated PET/CT versus delayed images for the quantitative evaluation of lower pulmonary and hepatic lesions.

Authors:  Abdel K Tahari; Martin A Lodge; Richard L Wahl
Journal:  J Med Imaging Radiat Oncol       Date:  2014-01-20       Impact factor: 1.735

9.  PET/CT Assessment of Response to Therapy: Tumor Change Measurement, Truth Data, and Error.

Authors:  Paul E Kinahan; Robert K Doot; Michelle Wanner-Roybal; Luc M Bidaut; Samuel G Armato; Charles R Meyer; Geoffrey McLennan
Journal:  Transl Oncol       Date:  2009-12       Impact factor: 4.243

Review 10.  Molecular imaging to guide systemic cancer therapy: Illustrative examples of PET imaging cancer biomarkers.

Authors:  Austin R Pantel; David A Mankoff
Journal:  Cancer Lett       Date:  2016-05-16       Impact factor: 8.679

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