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01.09.2010 | Head and Neck

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

verfasst von: 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

Erschienen in: European Radiology | Ausgabe 9/2010

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Abstract

Objective

To investigate the role of diffusion-weighted imaging (DWI) in predicting and monitoring chemoradiotherapy response in head and neck squamous cell carcinoma (HNSCC).

Methods

Diffusion-weighted imaging was performed pre-treatment (n = 50), intra-treatment (n = 41) and post-treatment (n = 20). Apparent diffusion coefficient (ADC) values were correlated with locoregional failure (LF).

Results

Locoregional failure occurred in 20/50 (40%) patients. A significant correlation was found between LF and post-treatment ADC (p = 0.02) but not pre- or intra-treatment ADC. Serial change in ADC was even more significant (p = 0.00001), using a fall in ADC early (pre- to intra-treatment) or late (intra- to post-treatment) to indicate LF, achieved 100% specificity, 80% sensitivity and 90% accuracy.

Conclusions

Single ADC measurements pre- or intra-treatment did not predict response, but ADC post-treatment was a marker for LF. Serial change in ADC was an even stronger marker, when using an early or late treatment fall in ADC to identify LF.

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Titel: Squamous cell carcinoma of the head and neck: diffusion-weighted MR imaging for prediction and monitoring of treatment response
verfasst von: 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
Publikationsdatum: 01.09.2010
Verlag: Springer-Verlag
Erschienen in: European Radiology / Ausgabe 9/2010
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI: https://doi.org/10.1007/s00330-010-1769-8

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