Literature DB >> 15585617

Therapeutic efficacy of DTI-015 using diffusion magnetic resonance imaging as an early surrogate marker.

Daniel E Hall1, Bradford A Moffat, Jadranka Stojanovska, Timothy D Johnson, Zhuolin Li, Daniel A Hamstra, Alnawaz Rehemtulla, Thomas L Chenevert, Julie Carter, Dennis Pietronigro, Brian D Ross.   

Abstract

To investigate diffusion weighted magnetic resonance imaging as a quantitative surrogate marker for evaluating the therapy-induced cellular changes in an orthotopic experimental glioma model, tumors were treated with direct intratumoral administration of DTI-015, a solution of 1,3-bis(2-chloroethyl)-1-nitrosourea (BCNU) in 100% EtOH. Intracerebral 9L tumors were induced in Fischer 344 rats, and three treatment groups were established: DTI-015, EtOH, and sham. Two groups of rats received intratumoral injection of either 67 mg/mL BCNU in EtOH or EtOH alone at 50% of the tumor volume up to a maximum of 30 mul under stereotactic guidance. Diffusion magnetic resonance images were acquired before treatment and after treatment at 1, 24, 48, and 72 hours and then 3 times per week thereafter. Tumor cell viability was examined using multislice diffusion weighted magnetic resonance imaging with diffusion weighted transverse magnetic resonance images and histogram plots of each tumor quantified over time. Control animals (EtOH- or sham-treated animals) showed mean apparent diffusion coefficients (ADCs) that remained essentially unchanged over the experimental time course. In contrast, rats treated with DTI-015 showed a significant increase in ADC relative to the pretreatment within 24 hours, which further increased over time, followed by a significant therapeutic response as evidenced by subsequent tumor volume shrinkage, development of a cystic region, and enhanced animal survival. Finally, not only were ADC measurements predictive of differences between treatment groups, but they also yielded spatial and temporal data regarding the efficacy of treatment within individual treated animals that could be used to guide subsequent therapy.

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Year:  2004        PMID: 15585617     DOI: 10.1158/1078-0432.CCR-04-1218

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  35 in total

1.  Integrative analysis of diffusion-weighted MRI and genomic data to inform treatment of glioblastoma.

Authors:  Guido H Jajamovich; Chandni R Valiathan; Razvan Cristescu; Sangeetha Somayajula
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2.  The functional diffusion map: an imaging biomarker for the early prediction of cancer treatment outcome.

Authors:  Bradford A Moffat; Thomas L Chenevert; Charles R Meyer; Paul E McKeever; Daniel E Hall; Benjamin A Hoff; Timothy D Johnson; Alnawaz Rehemtulla; Brian D Ross
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3.  Levels and distribution of BCNU in GBM tumors following intratumoral injection of DTI-015 (BCNU-ethanol).

Authors:  William J Bodell; Alexander P Bodell; Donald D Giannini
Journal:  Neuro Oncol       Date:  2006-10-03       Impact factor: 12.300

Review 4.  Modeling tumor growth and treatment response based on quantitative imaging data.

Authors:  Thomas E Yankeelov; Nkiruka C Atuegwu; Natasha G Deane; John C Gore
Journal:  Integr Biol (Camb)       Date:  2010-07-02       Impact factor: 2.192

5.  Early changes in apparent diffusion coefficient as an indicator of response to sorafenib in hepatocellular carcinoma.

Authors:  Yi-lei Zhao; Qing-qu Guo; Gen-ren Yang; Qi-dong Wang
Journal:  J Zhejiang Univ Sci B       Date:  2014-08       Impact factor: 3.066

6.  Significant temporal evolution of diffusion anisotropy for evaluating early response to radiosurgery in patients with vestibular schwannoma: findings from functional diffusion maps.

Authors:  Y-C Lin; C-C Wang; Y Y Wai; Y-L Wan; S-H Ng; Y-L Chen; H-L Liu; J-J Wang
Journal:  AJNR Am J Neuroradiol       Date:  2009-09-24       Impact factor: 3.825

7.  Diffusion imaging for therapy response assessment of brain tumor.

Authors:  Thomas L Chenevert; Brian D Ross
Journal:  Neuroimaging Clin N Am       Date:  2009-11       Impact factor: 2.264

Review 8.  Clinical applications for diffusion magnetic resonance imaging in radiotherapy.

Authors:  Christina Tsien; Yue Cao; Thomas Chenevert
Journal:  Semin Radiat Oncol       Date:  2014-07       Impact factor: 5.934

9.  Diffusion MRI with Semi-Automated Segmentation Can Serve as a Restricted Predictive Biomarker of the Therapeutic Response of Liver Metastasis.

Authors:  Renu M Stephen; Abhinav K Jha; Denise J Roe; Theodore P Trouard; Jean-Philippe Galons; Matthew A Kupinski; Georgette Frey; Haiyan Cui; Scott Squire; Mark D Pagel; Jeffrey J Rodriguez; Robert J Gillies; Alison T Stopeck
Journal:  Magn Reson Imaging       Date:  2015-08-15       Impact factor: 2.546

10.  Diffusion magnetic resonance imaging: an imaging treatment response biomarker to chemoradiotherapy in a mouse model of squamous cell cancer of the head and neck.

Authors:  Daniel A Hamstra; Kuei C Lee; Bradford A Moffat; Thomas L Chenevert; Alnawaz Rehemtulla; Brian D Ross
Journal:  Transl Oncol       Date:  2008-12       Impact factor: 4.243

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