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Computational Modeling of Interstitial Fluid Pressure and Velocity in Head and Neck Cancer Based on Dynamic Contrast-Enhanced Magnetic Resonance Imaging: Feasibility Analysis

We developed and tested the feasibility of computational fluid modeling (CFM) based on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) for quantitative estimation of interstitial fluid pressure (IFP) and velocity (IFV) in patients with head and neck (HN) cancer with locoregional lymph...

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Dettagli Bibliografici
Pubblicato in:Tomography
Autori principali: LoCastro, Eve, Paudyal, Ramesh, Mazaheri, Yousef, Hatzoglou, Vaios, Oh, Jung Hun, Lu, Yonggang, Konar, Amaresha Shridhar, vom Eigen, Kira, Ho, Alan, Ewing, James R., Lee, Nancy, Deasy, Joseph O., Shukla-Dave, Amita
Natura: Artigo
Lingua:Inglês
Pubblicazione: Grapho Publications, LLC 2020
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7289251/
https://ncbi.nlm.nih.gov/pubmed/32548289
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.18383/j.tom.2020.00005
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