Predicting treatment Response based on Dual assessment of magnetic resonance Imaging kinetics and Circulating Tumor cells in patients with Head and Neck cancer (PREDICT-HN): matching ‘liquid biopsy’ and quantitative tumor modeling

Predicting treatment Response based on Dual assessment of magnetic resonance Imaging kinetics and Circulating Tumor cells in patients with Head and Neck cancer (PREDICT-HN): matching ‘liquid biopsy’ and quantitative tumor modeling

Abstract Background Magnetic resonance imaging (MRI) has improved capacity to visualize tumor and soft tissue involvement in head and neck cancers. Using advanced MRI, we can interrogate cell density using diffusion weighted imaging, a quantitative imaging that can be used during radiotherapy, when...

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Bibliographic Details
Main Authors: Sweet Ping Ng, Houda Bahig, Jihong Wang, Carlos E. Cardenas, Anthony Lucci, Carolyn S. Hall, Salyna Meas, Vanessa N. Sarli, Ying Yuan, Diana L. Urbauer, Yao Ding, Shane Ikner, Vi Dinh, Baher A. Elgohari, Jason M. Johnson, Heath D. Skinner, G. Brandon Gunn, Adam S. Garden, Jack Phan, David I. Rosenthal, William H. Morrison, Steven J. Frank, Katherine A. Hutcheson, Abdallah S. R. Mohamed, Stephen Y. Lai, Renata Ferrarotto, Michael P. MacManus, Clifton D. Fuller
Format: Article
Language:English
Published: BMC 2018-09-01
Series:BMC Cancer
Subjects:
Magnetic resonance imaging
Circulating tumor cells
Head and neck cancer
Biomarker
Online Access:http://link.springer.com/article/10.1186/s12885-018-4808-5

Internet

http://link.springer.com/article/10.1186/s12885-018-4808-5

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