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

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

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BORIS DOI
10.7892/boris.101438
Publisher DOI
10.1186/s40644-016-0080-6
PubMed ID
27542718
Description
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 ((1)H-MRS)and blood oxygen level dependent (BOLD) MRI.
Date of Publication
2016-08-19
Publication Type
Article
Subject(s)
600 Technology > 610 Medicine & health
Keyword(s)
Cancer Chemotherapy DCE DWI Head and neck MRI MRS Radiotherapy Response Squamous cell carcinoma
Language(s)
en
Contributor(s)
King, Ann D
Thöny, Harriet C.
Universitätsinstitut für Diagnostische, Interventionelle und Pädiatrische Radiologie
Additional Credits
Universitätsinstitut für Diagnostische, Interventionelle und Pädiatrische Radiologie
Series
Cancer imaging : the official publication of the International Cancer Imaging Society
Publisher
BioMed Central
ISSN
1470-7330
Access(Rights)
open.access
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