Literature DB >> 21842339

Importance of quantification for the analysis of PET data in oncology: review of current methods and trends for the future.

Giampaolo Tomasi1, Federico Turkheimer, Eric Aboagye.   

Abstract

In oncology, positron emission tomography (PET) is an important tool for tumour diagnosis and staging, assessment of response to treatment and evaluation of the pharmacokinetic properties and efficacy of new drugs. Despite its quantitative potential, however, in daily clinical practice PET is used almost exclusively with 2-deoxy-2-[(18)F]fluoro-D-glucose ([(18)F]FDG) and, in addition, [(18)F]FDG data are normally assessed visually or using simple indices as the standardised uptake value (SUV). After explaining why more sophisticated quantification methods can be useful in oncology, the paper reviews the approaches that are commonly used and those available but not routinely employed. Particular emphasis is addressed to the SUV, for its importance in clinical practice. Issues specific to PET quantification in oncology and related examples are then discussed. Finally, some ideas for the development of new quantitative methods for analysing PET data in oncology and for the application of approaches already existing but not commonly employed are presented.

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Year:  2012        PMID： 21842339     DOI： 10.1007/s11307-011-0514-2

Source DB:  PubMed          Journal:  Mol Imaging Biol        ISSN： 1536-1632            Impact factor:   3.488


  113 in total

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Authors:  J Kissel; G Brix; M E Bellemann; L G Strauss; A Dimitrakopoulou-Strauss; R Port; U Haberkorn; W J Lorenz
Journal:  Cancer Res       Date:  1997-08-15       Impact factor: 12.701

Review 2.  PET kinetic analysis--compartmental model.

Authors:  Hiroshi Watabe; Yoko Ikoma; Yuichi Kimura; Mika Naganawa; Miho Shidahara
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Review 3.  Dissecting cancer through mathematics: from the cell to the animal model.

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Journal:  Nat Rev Cancer       Date:  2010-03       Impact factor: 60.716

4.  Graphical analysis of reversible radioligand binding from time-activity measurements applied to [N-11C-methyl]-(-)-cocaine PET studies in human subjects.

Authors:  J Logan; J S Fowler; N D Volkow; A P Wolf; S L Dewey; D J Schlyer; R R MacGregor; R Hitzemann; B Bendriem; S J Gatley
Journal:  J Cereb Blood Flow Metab       Date:  1990-09       Impact factor: 6.200

5.  Glioma proliferation as assessed by 3'-fluoro-3'-deoxy-L-thymidine positron emission tomography in patients with newly diagnosed high-grade glioma.

Authors:  Roland Ullrich; Heiko Backes; Hongfeng Li; Lutz Kracht; Hrvoje Miletic; Kristina Kesper; Bernd Neumaier; Wolf-Dieter Heiss; Klaus Wienhard; Andreas H Jacobs
Journal:  Clin Cancer Res       Date:  2008-04-01       Impact factor: 12.531

6.  Nonparametric Residue Analysis of Dynamic PET Data With Application to Cerebral FDG Studies in Normals.

Authors:  Finbarr O'Sullivan; Mark Muzi; Alexander M Spence; David M Mankoff; Janet N O'Sullivan; Niall Fitzgerald; George C Newman; Kenneth A Krohn
Journal:  J Am Stat Assoc       Date:  2009-06-01       Impact factor: 5.033

7.  Pre-therapy 18F-FDG PET quantitative parameters help in predicting the response to radioimmunotherapy in non-Hodgkin lymphoma.

Authors:  Thomas Cazaentre; Franck Morschhauser; Maximilien Vermandel; Nacim Betrouni; Thierry Prangère; Marc Steinling; Damien Huglo
Journal:  Eur J Nucl Med Mol Imaging       Date:  2009-09-30       Impact factor: 9.236

8.  Reproducibility of quantitative 18F-3'-deoxy-3'-fluorothymidine measurements using positron emission tomography.

Authors:  Adrianus J de Langen; Bianca Klabbers; Mark Lubberink; Ronald Boellaard; Marieke D Spreeuwenberg; Ben J Slotman; Remco de Bree; Egbert F Smit; Otto S Hoekstra; Adriaan A Lammertsma
Journal:  Eur J Nucl Med Mol Imaging       Date:  2008-10-18       Impact factor: 9.236

9.  A new model for prediction of drug distribution in tumor and normal tissues: pharmacokinetics of temozolomide in glioma patients.

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Journal:  Cancer Res       Date:  2009-01-01       Impact factor: 12.701

10.  The use of spectral analysis to determine regional cerebral glucose utilization with positron emission tomography and [18F]fluorodeoxyglucose: theory, implementation, and optimization procedures.

Authors:  F Turkheimer; R M Moresco; G Lucignani; L Sokoloff; F Fazio; K Schmidt
Journal:  J Cereb Blood Flow Metab       Date:  1994-05       Impact factor: 6.200
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  45 in total

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Journal:  Magn Reson Imaging       Date:  2012-07-06       Impact factor: 2.546

Review 2.  Positron Emission Tomography (PET) in Oncology.

Authors:  Andrea Gallamini; Colette Zwarthoed; Anna Borra
Journal:  Cancers (Basel)       Date:  2014-09-29       Impact factor: 6.639

Review 3.  Dynamic whole-body PET imaging: principles, potentials and applications.

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Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-09-29       Impact factor: 9.236

Review 4.  A physiological perspective on the use of imaging to assess the in vivo delivery of therapeutics.

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Journal:  Ann Biomed Eng       Date:  2013-09-10       Impact factor: 3.934

Review 5.  [Molecular imaging in oncological surgery: technical principles and importance].

Authors:  J Kotzerke
Journal:  Chirurg       Date:  2014-06       Impact factor: 0.955

6.  Quantitative in vivo immunohistochemistry of epidermal growth factor receptor using a receptor concentration imaging approach.

Authors:  Kimberley S Samkoe; Kenneth M Tichauer; Jason R Gunn; Wendy A Wells; Tayyaba Hasan; Brian W Pogue
Journal:  Cancer Res       Date:  2014-10-24       Impact factor: 12.701

7.  Evaluation of [18F]Fluorothymidine as a Biomarker for Early Therapy Response in a Mouse Model of Colorectal Cancer.

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Journal:  Mol Imaging Biol       Date:  2017-02       Impact factor: 3.488

8.  Quantitative analysis and parametric imaging of 18F-labeled monomeric and dimeric RGD peptides using compartment model.

Authors:  Ning Guo; Lixin Lang; Haokao Gao; Gang Niu; Dale O Kiesewetter; Qingguo Xie; Xiaoyuan Chen
Journal:  Mol Imaging Biol       Date:  2012-12       Impact factor: 3.488

9.  Advantages of a dual-tracer model over reference tissue models for binding potential measurement in tumors.

Authors:  K M Tichauer; K S Samkoe; W S Klubben; T Hasan; B W Pogue
Journal:  Phys Med Biol       Date:  2012-10-01       Impact factor: 3.609

10.  Quantitative Evaluation of Tumor Early Response to a Vascular-Disrupting Agent with Dynamic PET.

Authors:  Ning Guo; Fan Zhang; Xiaomeng Zhang; Jinxia Guo; Lixin Lang; Dale O Kiesewetter; Gang Niu; Quanzheng Li; Xiaoyuan Chen
Journal:  Mol Imaging Biol       Date:  2015-12       Impact factor: 3.488
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