Literature DB >> 16557202

PET and PET/CT studies of tumor tissue oxygenation.

B J Krause1, R Beck, M Souvatzoglou, M Piert.   

Abstract

Hypoxia has been identified as a major adverse prognostic factor for tumor progression and for resistance to anticancer treatment. Various approaches have been evaluated to assess tumor hypoxia in vivo. PET imaging in particular has emerged as a promising non-invasive tool to accurately characterize tumor oxygenation, thus offering the potential to optimize and individualize a therapy for patients suffering from cancer. The current PET tracers and animal models for the study of tissue hypoxia including aspects of small animal PET imaging are reviewed in this paper. Special emphasis is placed on human PET studies assessing tumor hypoxia in patients with different tumor entities, various anticancer therapies (chemotherapy, radiation therapy, hypoxia targeting chemotherapy) as well as studies deriving prognostic factors and outcome data. Methodological advantages underpinning PET/CT in the imaging of hypoxia are discussed. The great promise of PET/CT is its potential as a single imaging modality for whole body staging providing both anatomical and biological information on the tumor as a whole. It allows a more precise estimation of the hypoxic tumor volume as well as comparisons on a voxel-by-voxel basis (parametric mapping). Finally, PET and PET/CT are discussed in the framework of individualized therapies with its special significance for intensity modulated radiation therapy and selective dose escalation in hypoxic tumor regions as well as more systemic approaches such as hypoxia-directed cytotoxins.

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Year:  2006        PMID: 16557202

Source DB:  PubMed          Journal:  Q J Nucl Med Mol Imaging        ISSN: 1824-4785            Impact factor:   2.346


  24 in total

1.  Investigation on tumor hypoxia in resectable primary prostate cancer as demonstrated by 18F-FAZA PET/CT utilizing multimodality fusion techniques.

Authors:  Rita Garcia-Parra; David Wood; Rajal B Shah; Javed Siddiqui; Hero Hussain; Hyunjin Park; Timothy Desmond; Charles Meyer; Morand Piert
Journal:  Eur J Nucl Med Mol Imaging       Date:  2011-07-16       Impact factor: 9.236

Review 2.  In Vivo pO2 Imaging of Tumors: Oxymetry with Very Low-Frequency Electron Paramagnetic Resonance.

Authors:  Boris Epel; Howard J Halpern
Journal:  Methods Enzymol       Date:  2015-09-26       Impact factor: 1.600

3.  PET imaging with hypoxia tracers: a must in radiation therapy.

Authors:  Giovanni Lucignani
Journal:  Eur J Nucl Med Mol Imaging       Date:  2008-04       Impact factor: 9.236

4.  Using semi-quantitative dynamic contrast-enhanced magnetic resonance imaging parameters to evaluate tumor hypoxia: a preclinical feasibility study in a maxillofacial VX2 rabbit model.

Authors:  Linfeng Zheng; Yujie Li; Feng Geng; Sujuan Zheng; Ruiling Yan; Yuedong Han; Qiben Wang; Zhuoli Zhang; Guixiang Zhang
Journal:  Am J Transl Res       Date:  2015-03-15       Impact factor: 4.060

5.  O2 -sensitive MRI distinguishes brain tumor versus radiation necrosis in murine models.

Authors:  Scott C Beeman; Ying-Bo Shui; Carlos J Perez-Torres; John A Engelbach; Joseph J H Ackerman; Joel R Garbow
Journal:  Magn Reson Med       Date:  2015-07-14       Impact factor: 4.668

6.  Photoacoustic lifetime imaging for direct in vivo tissue oxygen monitoring.

Authors:  Qi Shao; Shai Ashkenazi
Journal:  J Biomed Opt       Date:  2015-03       Impact factor: 3.170

7.  Mapping Tumor Hypoxia In Vivo Using Pattern Recognition of Dynamic Contrast-enhanced MRI Data.

Authors:  Radka Stoyanova; Kris Huang; Kiri Sandler; Hyungjoon Cho; Sean Carlin; Pat B Zanzonico; Jason A Koutcher; Ellen Ackerstaff
Journal:  Transl Oncol       Date:  2012-12-01       Impact factor: 4.243

Review 8.  Contribution of hypoxia-measuring molecular imaging techniques to radiotherapy planning and treatment.

Authors:  Carlos Ferrer Albiach; Antonio Conde Moreno; Marta Rodríguez Cordón; Virginia Morillo Macías; Ana Bouché Babiloni; Inmaculada Beato Tortajada; Angel Sánchez Iglesias; Alicia Francés Muñoz
Journal:  Clin Transl Oncol       Date:  2010-01       Impact factor: 3.405

9.  Gaussian mixture model-based classification of dynamic contrast enhanced MRI data for identifying diverse tumor microenvironments: preliminary results.

Authors:  S H Han; E Ackerstaff; R Stoyanova; S Carlin; W Huang; J A Koutcher; J K Kim; G Cho; G Jang; H Cho
Journal:  NMR Biomed       Date:  2013-02-25       Impact factor: 4.044

10.  Clinical Applications of FDG PET and PET/CT in Head and Neck Cancer.

Authors:  Akram Al-Ibraheem; Andreas Buck; Bernd Joachim Krause; Klemens Scheidhauer; Markus Schwaiger
Journal:  J Oncol       Date:  2009-08-20       Impact factor: 4.375

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