Literature DB >> 16506163

Assessment of fraction of radiobiologically hypoxic cells in human melanoma xenografts by dynamic contrast-enhanced MRI.

Tormod A M Egeland1, Jon-Vidar Gaustad, Ida K Vestvik, Ilana C Benjaminsen, Berit Mathiesen, Einar K Rofstad.   

Abstract

A noninvasive method for assessment of the extent of hypoxia in experimental and human tumors is highly needed. In this study, the potential usefulness of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) was investigated, using gadopentetate dimeglumine (Gd-DTPA) as contrast agent and A-07 human melanoma xenografts as tumor model. DCE-MRI was performed at a voxel size of 0.3 x 0.6 x 2.0 mm3 with spoiled gradient-recalled sequences. Images of E . F (E is the initial extraction fraction of Gd-DTPA and F is perfusion) and lambda (the partition coefficient of Gd-DTPA, which is proportional to extracellular volume fraction) were obtained by Kety analysis of DCE-MRI data. The study was based on the hypothesis that hypoxic tissue would have low E . F (i.e., poor oxygen supply) and/or low lambda (i.e., high cell density and, hence, high oxygen consumption rate). Twenty-two tumors were first subjected to DCE-MRI and then to measurement of fraction of hypoxic cells, using a radiobiological assay. E . F was found to be strongly correlated to fraction of hypoxic cells (P < 0.000001), whereas significant correlation between lambda and fraction of hypoxic cells could not be detected. It is thus possible that E . F may be a useful parameter for the extent of hypoxia in experimental and human tumors with physiologic properties similar to those of A-07 tumors. This possibility warrants further studies involving experimental tumors of several lines, as well as human tumors. (c) 2006 Wiley-Liss, Inc.

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Year:  2006        PMID: 16506163     DOI: 10.1002/mrm.20852

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  9 in total

Review 1.  The emerging potential of magnetic resonance imaging in personalizing radiotherapy for head and neck cancer: an oncologist's perspective.

Authors:  Kee H Wong; Rafal Panek; Shreerang A Bhide; Christopher M Nutting; Kevin J Harrington; Katie L Newbold
Journal:  Br J Radiol       Date:  2017-03       Impact factor: 3.039

2.  MRI evaluation of the effects of whole brain radiotherapy on breast cancer brain metastasis.

Authors:  William Crowe; Lulu Wang; Zhongwei Zhang; Jasmina Varagic; J Daniel Bourland; Michael D Chan; Amyn A Habib; Dawen Zhao
Journal:  Int J Radiat Biol       Date:  2019-01-07       Impact factor: 2.694

3.  Automation of pattern recognition analysis of dynamic contrast-enhanced MRI data to characterize intratumoral vascular heterogeneity.

Authors:  SoHyun Han; Radka Stoyanova; Hansol Lee; Sean D Carlin; Jason A Koutcher; HyungJoon Cho; Ellen Ackerstaff
Journal:  Magn Reson Med       Date:  2017-07-20       Impact factor: 4.668

Review 4.  Imaging tumour hypoxia with oxygen-enhanced MRI and BOLD MRI.

Authors:  James P B O'Connor; Simon P Robinson; John C Waterton
Journal:  Br J Radiol       Date:  2019-01-24       Impact factor: 3.039

5.  Tumor vascularity assessed by magnetic resonance imaging and intravital microscopy imaging.

Authors:  Jon-Vidar Gaustad; Kjetil G Brurberg; Trude G Simonsen; Camilla S Mollatt; Einar K Rofstad
Journal:  Neoplasia       Date:  2008-04       Impact factor: 5.715

Review 6.  The Role of Imaging Biomarkers to Guide Pharmacological Interventions Targeting Tumor Hypoxia.

Authors:  Bernard Gallez
Journal:  Front Pharmacol       Date:  2022-07-15       Impact factor: 5.988

7.  Strategies To Assess Hypoxic/HIF-1-Active Cancer Cells for the Development of Innovative Radiation Therapy.

Authors:  Chan Joo Yeom; Lihua Zeng; Yuxi Zhu; Masahiro Hiraoka; Hiroshi Harada
Journal:  Cancers (Basel)       Date:  2011-09-15       Impact factor: 6.639

8.  Evaluation of CT Perfusion Biomarkers of Tumor Hypoxia.

Authors:  Qi Qi; Timothy Pok Chi Yeung; Ting-Yim Lee; Glenn Bauman; Cathie Crukley; Laura Morrison; Lisa Hoffman; Slav Yartsev
Journal:  PLoS One       Date:  2016-04-14       Impact factor: 3.240

Review 9.  How best to interpret measures of levels of oxygen in tissues to make them effective clinical tools for care of patients with cancer and other oxygen-dependent pathologies.

Authors:  Harold M Swartz; Ann Barry Flood; Philip E Schaner; Howard Halpern; Benjamin B Williams; Brian W Pogue; Bernard Gallez; Peter Vaupel
Journal:  Physiol Rep       Date:  2020-08
  9 in total

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