Literature DB >> 15858770

Dynamic contrast-enhanced magnetic resonance imaging in radiotherapeutic efficacy in the head and neck tumors.

Noriaki Tomura1, Koichi Omachi, Ikuo Sakuma, Satoshi Takahashi, Junichi Izumi, Osamu Watanabe, Jiro Watarai, Masato Sageshima.   

Abstract

PURPOSE: The purpose to this study is to identify correlations between pathology and dynamic contrast-enhanced magnetic resonance imaging (MRI) and to assess the utility of this technique in the evaluation of radiation response for head and neck cancer.
MATERIALS AND METHODS: MRI was prospectively performed after radiotherapy in 27 patients with various head and neck tumors. After bolus injection of contrast material, a dynamic study was performed using a spoiled gradient-recalled imaging sequence. The maximum slope of increase (MSI) on the time-intensity curve was displayed as a color-coded image. The ratio of MSI (MSIR) was obtained for tumor and normal muscles. Pathological specimens were obtained after MRI in all cases. Histological grading of irradiation changes was classified into 5 grades (0-4). Correlations between MSIR and histological grade were examined.
RESULTS: Histologically, 18 tumors were classified as grade 2 (presence of viable tumor cells), 4 were grade 3 (nonviable tumor cells), and 5 were grade 4 (no tumor cells). Although the mean +/- SD of MSIR in patients with histological grade 2 or 3 was 7.4 +/- 7.9, MSIR in patients with grade 4 was 1.8 +/- 0.73, representing a significant difference ( P < .05). Every patient with grade 4 displayed an MSIR of 2.5 or less, although 5 of 22 patients with grade 2 or 3 had an MSIR of 2.5 or less.
CONCLUSIONS: MSI quantitatively reflects response to radiotherapy for head and neck cancer. Color-coded MSI display is feasible for depicting permeability changes after radiotherapy.

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Year:  2005        PMID: 15858770     DOI: 10.1016/j.amjoto.2004.11.011

Source DB:  PubMed          Journal:  Am J Otolaryngol        ISSN: 0196-0709            Impact factor:   1.808


  7 in total

1.  Dynamic contrast-enhanced MR in the diagnosis of lympho-associated benign and malignant lesions in the parotid gland.

Authors:  Ling Zhu; Chunye Zhang; Yi Hua; Jie Yang; Qiang Yu; Xiaofeng Tao; Jiawei Zheng
Journal:  Dentomaxillofac Radiol       Date:  2016-02-05       Impact factor: 2.419

Review 2.  Opportunities and challenges facing biomarker development for personalized head and neck cancer treatment.

Authors:  Alexandra Lucs; Benjamin Saltman; Christine H Chung; Bettie M Steinberg; David L Schwartz
Journal:  Head Neck       Date:  2012-01-27       Impact factor: 3.147

3.  Detection of Local Recurrence in Patients with Head and Neck Squamous Cell Carcinoma Using Voxel-Based Color Maps of Initial and Final Area under the Curve Values Derived from DCE-MRI.

Authors:  J Y Lee; K L Cheng; J H Lee; Y J Choi; H W Kim; Y S Sung; S R Chung; K H Ryu; M S Chung; S Y Kim; S-W Lee; J H Baek
Journal:  AJNR Am J Neuroradiol       Date:  2019-07-18       Impact factor: 3.825

4.  Normalized Parameters of Dynamic Contrast-Enhanced Perfusion MRI and DWI-ADC for Differentiation between Posttreatment Changes and Recurrence in Head and Neck Cancer.

Authors:  A Baba; R Kurokawa; E Rawie; M Kurokawa; Y Ota; A Srinivasan
Journal:  AJNR Am J Neuroradiol       Date:  2022-07-14       Impact factor: 4.966

5.  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

6.  DCE-MRI for Pre-Treatment Prediction and Post-Treatment Assessment of Treatment Response in Sites of Squamous Cell Carcinoma in the Head and Neck.

Authors:  Ann D King; Steven Kwok Keung Chow; Kwok-Hung Yu; Frankie Kwok Fai Mo; David K W Yeung; Jing Yuan; Benjamin King Hong Law; Kunwar S Bhatia; Alexander C Vlantis; Anil T Ahuja
Journal:  PLoS One       Date:  2015-12-10       Impact factor: 3.240

Review 7.  Multimodality imaging of head and neck cancer.

Authors:  A D King
Journal:  Cancer Imaging       Date:  2007-10-01       Impact factor: 3.909

  7 in total

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