Literature DB >> 16756718

The functional diffusion map: an imaging biomarker for the early prediction of cancer treatment outcome.

Bradford A Moffat1, Thomas L Chenevert, Charles R Meyer, Paul E McKeever, Daniel E Hall, Benjamin A Hoff, Timothy D Johnson, Alnawaz Rehemtulla, Brian D Ross.   

Abstract

Functional diffusion map (fDM) has been recently reported as an early and quantitative biomarker of clinical brain tumor treatment outcome. This approach spatially maps and quantifies treatment-induced changes in tumor water diffusion values resulting from alterations in cell density/cell membrane function and microenvironment. This current study was designed to evaluate the capability of fDM for preclinical evaluation of dose escalation studies and to determine if these changes were correlated with outcome measures (cell kill and overall survival). Serial T2-weighted were carried out on rodents with orthotopically implanted 9L brain tumors receiving three doses of 1,3-bis(2-chloroethyl)-1-nitrosourea (6.65, 13.3, and 26.6 mg/kg, i.p.). All images were coregistered to baseline T2-weighted images for fDM analysis. Analysis of tumor fDM data on day 4 posttreatment detected dose-dependent changes in tumor diffusion values, which were also found to be spatially dependent. Histologic analysis of treated tumors confirmed spatial changes in cellularity as observed by fDM. Early changes in tumor diffusion values were found to be highly correlative with drug dose and independent biologic outcome measures (cell kill and survival). Therefore, The fDM imaging biomarker for early prediction of treatment efficacy can be used in the drug development process.

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Year:  2006        PMID: 16756718      PMCID: PMC1600674          DOI: 10.1593/neo.05844

Source DB:  PubMed          Journal:  Neoplasia        ISSN: 1476-5586            Impact factor:   5.715


  35 in total

1.  Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas.

Authors:  T Sugahara; Y Korogi; M Kochi; I Ikushima; Y Shigematu; T Hirai; T Okuda; L Liang; Y Ge; Y Komohara; Y Ushio; M Takahashi
Journal:  J Magn Reson Imaging       Date:  1999-01       Impact factor: 4.813

2.  Dynamic contrast-enhanced and diffusion MRI show rapid and dramatic changes in tumor microenvironment in response to inhibition of HIF-1alpha using PX-478.

Authors:  Bénédicte F Jordan; Matthew Runquist; Natarajan Raghunand; Amanda Baker; Ryan Williams; Lynn Kirkpatrick; Garth Powis; Robert J Gillies
Journal:  Neoplasia       Date:  2005-05       Impact factor: 5.715

3.  Contributions of cell kill and posttreatment tumor growth rates to the repopulation of intracerebral 9L tumors after chemotherapy: an MRI study.

Authors:  B D Ross; Y J Zhao; E R Neal; L D Stegman; M Ercolani; O Ben-Yoseph; T L Chenevert
Journal:  Proc Natl Acad Sci U S A       Date:  1998-06-09       Impact factor: 11.205

4.  Demonstration of accuracy and clinical versatility of mutual information for automatic multimodality image fusion using affine and thin-plate spline warped geometric deformations.

Authors:  C R Meyer; J L Boes; B Kim; P H Bland; K R Zasadny; P V Kison; K Koral; K A Frey; R L Wahl
Journal:  Med Image Anal       Date:  1997-04       Impact factor: 8.545

5.  Diffusion MRI detects early events in the response of a glioma model to the yeast cytosine deaminase gene therapy strategy.

Authors:  L D Stegman; A Rehemtulla; D A Hamstra; D J Rice; S J Jonas; K L Stout; T L Chenevert; B D Ross
Journal:  Gene Ther       Date:  2000-06       Impact factor: 5.250

6.  Early response of prostate carcinoma xenografts to docetaxel chemotherapy monitored with diffusion MRI.

Authors:  Dominique Jennings; B Nicholas Hatton; Jingyu Guo; Jean-Philippe Galons; Theodore P Trouard; Natarajan Raghunand; James Marshall; Robert J Gillies
Journal:  Neoplasia       Date:  2002 May-Jun       Impact factor: 5.715

Review 7.  Magnetic resonance imaging in cancer research.

Authors:  B D Ross; T L Chenevert; A Rehemtulla
Journal:  Eur J Cancer       Date:  2002-11       Impact factor: 9.162

Review 8.  Diffusion imaging for evaluation of tumor therapies in preclinical animal models.

Authors:  B A Moffat; D E Hall; J Stojanovska; P J McConville; J B Moody; T L Chenevert; A Rehemtulla; B D Ross
Journal:  MAGMA       Date:  2004-12-01       Impact factor: 2.310

9.  Evaluation of the functional diffusion map as an early biomarker of time-to-progression and overall survival in high-grade glioma.

Authors:  Daniel A Hamstra; Thomas L Chenevert; Bradford A Moffat; Timothy D Johnson; Charles R Meyer; Suresh K Mukherji; Douglas J Quint; Stephen S Gebarski; Xiaoying Fan; Christina I Tsien; Theodore S Lawrence; Larry Junck; Alnawaz Rehemtulla; Brian D Ross
Journal:  Proc Natl Acad Sci U S A       Date:  2005-11-02       Impact factor: 11.205

10.  Molecular imaging of gene expression and efficacy following adenoviral-mediated brain tumor gene therapy.

Authors:  Alnawaz Rehemtulla; Daniel E Hall; Lauren D Stegman; Uttara Prasad; Grace Chen; Mahaveer Swaroop Bhojani; Thomas L Chenevert; Brian D Ross
Journal:  Mol Imaging       Date:  2002 Jan-Mar       Impact factor: 4.488

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  83 in total

1.  Differential microstructure and physiology of brain and bone metastases in a rat breast cancer model by diffusion and dynamic contrast enhanced MRI.

Authors:  Matthew D Budde; Eric Gold; E Kay Jordan; Joseph A Frank
Journal:  Clin Exp Metastasis       Date:  2011-11-01       Impact factor: 5.150

2.  Functional diffusion maps (fDMs) evaluated before and after radiochemotherapy predict progression-free and overall survival in newly diagnosed glioblastoma.

Authors:  Benjamin M Ellingson; Timothy F Cloughesy; Taryar Zaw; Albert Lai; Phioanh L Nghiemphu; Robert Harris; Shadi Lalezari; Naveed Wagle; Kourosh M Naeini; Jose Carrillo; Linda M Liau; Whitney B Pope
Journal:  Neuro Oncol       Date:  2012-01-22       Impact factor: 12.300

Review 3.  Development and applications of photo-triggered theranostic agents.

Authors:  Prakash Rai; Srivalleesha Mallidi; Xiang Zheng; Ramtin Rahmanzadeh; Youssef Mir; Stefan Elrington; Ahmat Khurshid; Tayyaba Hasan
Journal:  Adv Drug Deliv Rev       Date:  2010-09-19       Impact factor: 15.470

4.  Squamous cell carcinoma of the head and neck: diffusion-weighted MR imaging for prediction and monitoring of treatment response.

Authors:  Ann D King; Frankie K F Mo; Kwok-Hung Yu; David K W Yeung; Hua Zhou; Kunwar S Bhatia; Gary M K Tse; Alexander C Vlantis; Jeffrey K T Wong; Anil T Ahuja
Journal:  Eur Radiol       Date:  2010-03-23       Impact factor: 5.315

Review 5.  Physiologic MRI for assessment of response to therapy and prognosis in glioblastoma.

Authors:  Mark S Shiroishi; Jerrold L Boxerman; Whitney B Pope
Journal:  Neuro Oncol       Date:  2015-09-12       Impact factor: 12.300

6.  The role of pre-treatment diffusion-weighted MRI in predicting long-term outcome of colorectal liver metastasis.

Authors:  H H Tam; D J Collins; G Brown; I Chau; D Cunningham; M O Leach; D-M Koh
Journal:  Br J Radiol       Date:  2013-08-30       Impact factor: 3.039

7.  Investigation of the diffusion abnormality index as a new imaging biomarker for early assessment of brain tumor response to radiation therapy.

Authors:  Reza Farjam; Christina I Tsien; Felix Y Feng; Diana Gomez-Hassan; James A Hayman; Theodore S Lawrence; Yue Cao
Journal:  Neuro Oncol       Date:  2013-12-09       Impact factor: 12.300

8.  Image registration for quantitative parametric response mapping of cancer treatment response.

Authors:  Jennifer L Boes; Benjamin A Hoff; Nola Hylton; Martin D Pickles; Lindsay W Turnbull; Anne F Schott; Alnawaz Rehemtulla; Ryan Chamberlain; Benjamin Lemasson; Thomas L Chenevert; Craig J Galbán; Charles R Meyer; Brian D Ross
Journal:  Transl Oncol       Date:  2014-02-01       Impact factor: 4.243

Review 9.  Invited review--neuroimaging response assessment criteria for brain tumors in veterinary patients.

Authors:  John H Rossmeisl; Paulo A Garcia; Gregory B Daniel; John Daniel Bourland; Waldemar Debinski; Nikolaos Dervisis; Shawna Klahn
Journal:  Vet Radiol Ultrasound       Date:  2013-11-13       Impact factor: 1.363

10.  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

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