Literature DB >> 22197352

Assessment of hypoxia and radiation response in intramuscular experimental tumors by dynamic contrast-enhanced magnetic resonance imaging.

Kirsti Marie Øvrebø1, Tord Hompland, Berit Mathiesen, Einar K Rofstad.   

Abstract

BACKGROUND AND
PURPOSE: Studies of intradermal melanoma xenografts have suggested that dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) may be a useful method for assessing the extent of hypoxia in tumors. Because the microvascular network of tumors is influenced significantly by the site of growth, we challenged this possibility in the present work by studying relationships between DCE-MRI-derived parameters and hypoxia in intramuscular melanoma xenografts.
MATERIALS AND METHODS: Intramuscular R-18, U-25, and V-27 tumors were subjected to DCE-MRI and measurement of the fraction of radiobiologically hypoxic cells (HF(Rad)). Parametric images of K(trans) and v(e) were produced by pharmacokinetic analysis, and K(trans) and v(e) were related to HF(Rad) in individual tumors.
RESULTS: K(trans) decreased with increasing HF(Rad). The correlations between K(trans) and HF(Rad) were similar for the three tumor lines and were highly significant (P<0.00001). There was no correlation between v(e) and HF(Rad). However, v(e) decreased significantly with increasing cell survival after single dose irradiation.
CONCLUSION: Intramuscular melanoma xenografts show similar inverse correlations between K(trans) and HF(Rad) as intradermal tumors, which support the current clinical attempts to establish DCE-MRI as a method for detecting hypoxia and defining therapeutic targets in tumors.
Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

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Year:  2011        PMID: 22197352     DOI: 10.1016/j.radonc.2011.11.013

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  9 in total

1.  BOLD-MRI of breast invasive ductal carcinoma: correlation of R2* value and the expression of HIF-1α.

Authors:  Min Liu; Xiaojuan Guo; Shuangkun Wang; Mulan Jin; Ying Wang; Jie Li; Jun Liu
Journal:  Eur Radiol       Date:  2013-07-09       Impact factor: 5.315

Review 2.  Magnetic resonance imaging in precision radiation therapy for lung cancer.

Authors:  Hannah Bainbridge; Ahmed Salem; Rob H N Tijssen; Michael Dubec; Andreas Wetscherek; Corinne Van Es; Jose Belderbos; Corinne Faivre-Finn; Fiona McDonald
Journal:  Transl Lung Cancer Res       Date:  2017-12

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

4.  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

5.  Early detection of Lewis lung carcinoma tumor control by irradiation using diffusion-weighted and dynamic contrast-enhanced MRI.

Authors:  Jason Chia-Hsien Cheng; Ang Yuan; Jyh-Horng Chen; Yi-Chien Lu; Kuan-Hung Cho; Jian-Kuen Wu; Chien-Jang Wu; Yeun-Chung Chang; Pan-Chyr Yang
Journal:  PLoS One       Date:  2013-05-02       Impact factor: 3.240

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.  A role for dynamic contrast-enhanced magnetic resonance imaging in predicting tumour radiation response.

Authors:  Rami R Hallac; Heling Zhou; Rajesh Pidikiti; Kwang Song; Timothy Solberg; Vikram D Kodibagkar; Peter Peschke; Ralph P Mason
Journal:  Br J Cancer       Date:  2016-05-03       Impact factor: 7.640

8.  Prognostic Significance of Transverse Relaxation Rate (R2*) in Blood Oxygenation Level-Dependent Magnetic Resonance Imaging in Patients with Invasive Breast Cancer.

Authors:  Hye Young Choi; Eun Sook Ko; Boo-Kyung Han; Eun Ju Kim; Sun Mi Kim; Yaeji Lim; Rock Bum Kim
Journal:  PLoS One       Date:  2016-07-06       Impact factor: 3.240

9.  DCE-MRI of patient-derived xenograft models of uterine cervix carcinoma: associations with parameters of the tumor microenvironment.

Authors:  Anette Hauge; Catherine S Wegner; Jon-Vidar Gaustad; Trude G Simonsen; Lise Mari K Andersen; Einar K Rofstad
Journal:  J Transl Med       Date:  2017-11-03       Impact factor: 5.531

  9 in total

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