Literature DB >> 19043529

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

Daniel A Hamstra1, Kuei C Lee, Bradford A Moffat, Thomas L Chenevert, Alnawaz Rehemtulla, Brian D Ross.   

Abstract

For the treatment of squamous cell cancer of the head and neck (SCCHN), the assessment of treatment response is traditionally accomplished by volumetric measurements and has been suggested to be prognostic for an eventual response to treatment. An early evaluation response during the course of radiation therapy could provide an opportunity to tailor treatment to individual patients. Diffusion magnetic resonance imaging (MRI) allows for the quantification of tissue water diffusion values, thus treatment-induced loss of tumor cells will result in the increase in water mobility at the microscopic level, which can be detected as an increase in tumor diffusion values before any volumetric changes occur. We evaluated the use of diffusion MRI as an imaging biomarker of treatment response in an orthotopic mouse model of SCCHN. Mice with murine squamous cells expressing the yeast transgene cytosine deaminase were treated with 5-fluorocytosine (5FC), ionizing radiation, and combined therapy and were compared with control animals both during and after treatment for changes in tumor volumes, diffusion values, and survival. Radiation therapy had minimal effect on volumetric growth rate, diffusion, or survival. Although 5FC and combination treatment resulted in similar reductions in tumor volumes, the combination treatment elicited a much greater increase in tumor diffusion values, which correlated with improved survival. Thus, diffusion MRI as an imaging biomarker has a potential for early evaluation of the response to chemoradiation treatment in SCCHN.

Entities:  

Year:  2008        PMID: 19043529      PMCID: PMC2582167          DOI: 10.1593/tlo.08166

Source DB:  PubMed          Journal:  Transl Oncol        ISSN: 1936-5233            Impact factor:   4.243


  44 in total

1.  Role of computed tomography imaging in predicting response of nasopharyngeal carcinoma to definitive radiation therapy.

Authors:  Xuejun Ma; Jiade Jay Lu; Kwok Seng Loh; Thomas P Shakespeare; Anu Thiagarajan; Boon Cher Goh; Kim Siang Luke Tan
Journal:  Laryngoscope       Date:  2006-12       Impact factor: 3.325

2.  Correlation between initial and early follow-up CT perfusion parameters with endoscopic tumor response in patients with advanced squamous cell carcinomas of the oropharynx treated with organ-preservation therapy.

Authors:  D Gandhi; D B Chepeha; T Miller; R C Carlos; C R Bradford; R Karamchandani; F Worden; A Eisbruch; T N Teknos; G T Wolf; S K Mukherji
Journal:  AJNR Am J Neuroradiol       Date:  2006-01       Impact factor: 3.825

3.  Head and neck lesions: characterization with diffusion-weighted echo-planar MR imaging.

Authors:  J Wang; S Takashima; F Takayama; S Kawakami; A Saito; T Matsushita; M Momose; T Ishiyama
Journal:  Radiology       Date:  2001-09       Impact factor: 11.105

4.  Development of a new in vivo model for head and neck cancer.

Authors:  A Dinesman; B Haughey; G A Gates; T Aufdemorte; D D Von Hoff
Journal:  Otolaryngol Head Neck Surg       Date:  1990-11       Impact factor: 3.497

5.  Combined radiation and enzyme/prodrug treatment for head and neck cancer in an orthotopic animal model.

Authors:  D A Hamstra; D J Rice; A Pu; D Oyedijo; B D Ross; A Rehemtulla
Journal:  Radiat Res       Date:  1999-11       Impact factor: 2.841

Review 6.  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

7.  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

8.  Positron emission tomography with 18F-fluorodeoxyglucose to predict pathologic response after induction chemotherapy and definitive chemoradiotherapy in head and neck cancer.

Authors:  A David McCollum; Steven C Burrell; Robert I Haddad; Charles M Norris; Roy B Tishler; Mary Ann Case; Marshall R Posner; Annick D Van den Abbeele
Journal:  Head Neck       Date:  2004-10       Impact factor: 3.147

9.  Functional diffusion map as an early imaging biomarker for high-grade glioma: correlation with conventional radiologic response and overall survival.

Authors:  Daniel A Hamstra; Craig J Galbán; Charles R Meyer; Timothy D Johnson; Pia C Sundgren; Christina Tsien; Theodore S Lawrence; Larry Junck; David J Ross; Alnawaz Rehemtulla; Brian D Ross; Thomas L Chenevert
Journal:  J Clin Oncol       Date:  2008-06-09       Impact factor: 44.544

10.  Monitoring early response of experimental brain tumors to therapy using diffusion magnetic resonance imaging.

Authors:  T L Chenevert; P E McKeever; B D Ross
Journal:  Clin Cancer Res       Date:  1997-09       Impact factor: 12.531

View more
  19 in total

Review 1.  Biologic imaging of head and neck cancer: the present and the future.

Authors:  A Srinivasan; S Mohan; S K Mukherji
Journal:  AJNR Am J Neuroradiol       Date:  2011-12-22       Impact factor: 3.825

2.  Diffusion weighted imaging in predicting progression free survival in patients with squamous cell carcinomas of the head and neck treated with induction chemotherapy.

Authors:  Su Berrak; Sanjeev Chawla; Sungheon Kim; Harry Quon; Eric Sherman; Laurie A Loevner; Harish Poptani
Journal:  Acad Radiol       Date:  2011-08-10       Impact factor: 3.173

3.  Predictive value of diffusion-weighted magnetic resonance imaging during chemoradiotherapy for head and neck squamous cell carcinoma.

Authors:  Vincent Vandecaveye; Piet Dirix; Frederik De Keyzer; Katya Op de Beeck; Vincent Vander Poorten; I Roebben; Sandra Nuyts; Robert Hermans
Journal:  Eur Radiol       Date:  2010-02-24       Impact factor: 5.315

4.  Apparent diffusion coefficient calculated with relatively high b-values correlates with local failure of head and neck squamous cell carcinoma treated with radiotherapy.

Authors:  M Hatakenaka; Y Shioyama; K Nakamura; H Yabuuchi; Y Matsuo; S Sunami; T Kamitani; T Yoshiura; T Nakashima; K Nishikawa; H Honda
Journal:  AJNR Am J Neuroradiol       Date:  2011-07-21       Impact factor: 3.825

5.  Multi-system repeatability and reproducibility of apparent diffusion coefficient measurement using an ice-water phantom.

Authors:  Dariya Malyarenko; Craig J Galbán; Frank J Londy; Charles R Meyer; Timothy D Johnson; Alnawaz Rehemtulla; Brian D Ross; Thomas L Chenevert
Journal:  J Magn Reson Imaging       Date:  2012-09-28       Impact factor: 4.813

6.  Meta-analysis of diffusion-weighted imaging for predicting locoregional failure of chemoradiotherapy in patients with head and neck squamous cell carcinoma.

Authors:  Qiming Zhou; Fangfang Zeng; Yao Ding; Clifton D Fuller; Jihong Wang
Journal:  Mol Clin Oncol       Date:  2017-11-15

Review 7.  Predicting and monitoring cancer treatment response with diffusion-weighted MRI.

Authors:  Harriet C Thoeny; Brian D Ross
Journal:  J Magn Reson Imaging       Date:  2010-07       Impact factor: 4.813

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.  A feasibility study of parametric response map analysis of diffusion-weighted magnetic resonance imaging scans of head and neck cancer patients for providing early detection of therapeutic efficacy.

Authors:  Craig J Galbán; Suresh K Mukherji; Thomas L Chenevert; Charles R Meyer; Daniel A Hamstra; Peyton H Bland; Timothy D Johnson; Bradford A Moffat; Alnawaz Rehemtulla; Avraham Eisbruch; Brian D Ross
Journal:  Transl Oncol       Date:  2009-08-18       Impact factor: 4.243

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.