Functional MRI for the prediction of treatment response in head and neck squamous cell carcinoma: potential and limitations

被引：0
作者：
Ann D. King
Harriet C. Thoeny
机构：
[1] The Chinese University of Hong Kong,Department of Imaging and Interventional Radiology, Faculty of Medicine
[2] Prince of Wales Hospital,Department of Radiology, Neuroradiology and Nuclear Medicine, Inselspital
[3] University of Bern,undefined
来源：
Cancer Imaging | / 16卷
关键词：
MRI; DWI; DCE; MRS; Head and neck; Cancer; Squamous cell carcinoma; Radiotherapy; Chemotherapy; Response;
D O I：
暂无
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学科分类号：
摘要：
Pre-treatment or early intra-treatment prediction of patients with head and neck squamous cell carcinomas (HNSCC) who are likely to have tumours that are resistant to chemoradiotherapy (CRT) would enable treatment regimens to be changed at an early time point, or allow patients at risk of residual disease to be targeted for more intensive post-treatment investigation. Research into the potential advantages of using functional-based magnetic resonance imaging (MRI) sequences before or during cancer treatments to predict treatment response has been ongoing for several years. In regard to HNSCC, the reported results from functional MRI research are promising but they have yet to be transferred to the clinical domain. This article will review the functional MRI literature in HNSCC to determine the current status of the research and try to identify areas that are close to application in clinical practice. This review will focus on diffusion-weighted imaging (DWI) and dynamic contrast-enhanced MRI (DCE–MRI) and briefly include proton magnetic resonance spectroscopy (1H-MRS)and blood oxygen level dependent (BOLD) MRI.
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[21]  
Yamaguchi H(2015)Squamous cell carcinoma of the head and neck: comparison of diffusion-weighted MRI at b-values of 1,000 and 2,000 s/mm2 to predict response to induction chemotherapy Magn Reson Med Sci 14 337-14
[22]  
Kuba K(2015)Diffusion-weighted imaging of the head and neck in healthy subjects: reproducibility of ADC values in different MRI systems and repeat sessions AJNR Am J Neuroradiol 36 384-20
[23]  
Sugasawa M(2010)Predictive value of diffusion-weighted magnetic resonance imaging during chemoradiotherapy for head and neck squamous cell carcinoma Eur Radiol 20 1703-718
[24]  
Wang J(2010)Squamous cell carcinoma of the head and neck: diffusion-weighted MR imaging for prediction and monitoring treatment response Eur Radiol 20 2213-90
[25]  
Takashima S(2011)Whole-body diffusion weighted MR imaging in cancer: current status and research directions Radiology 261 700-32
[26]  
Takayama F(2009)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 Transl Oncol 2 184-8
[27]  
Kawakami S(1999)Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols J Magn Reson Imaging 10 223-84
[28]  
Saito A(2013)Dynamic contrast-enhanced MR imaging predicts local control in oropharyngeal or hypopharyngeal squamous cell carcinoma treated with chemoradiotherapy PLoS One 8 e72230-44
[29]  
Matsushita T(2010)Prediction of response to chemoradiation therapy in squamous cell carcinomas of the head and neck using dynamic contrast-enhanced MR imaging AJNR Am J Neuroradiol 31 262-97
[30]  
Maeda M(2011)Prediction of disease-free survival in patients with squamous cell carcinomas of the head and neck using dynamic contrast-enhanced MR imaging AJNR Am J Neuroradiol 32 778-90
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