Temporal Feature Extraction from DCE-MRI to Identify Poorly Perfused Subvolumes of Tumors Related to Outcomes of Radiation Therapy in Head and Neck Cancer

This study aimed to develop an automated model to extract temporal features from DCE-MRI in head-and-neck (HN) cancers to localize significant tumor subvolumes having low blood volume (LBV) for predicting local and regional failure after chemoradiation therapy. Temporal features were extracted from...

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Detalhes bibliográficos
Publicado no:Tomography
Main Authors: You, Daekeun, Aryal, Madhava, Samuels, Stuart E., Eisbruch, Avraham, Cao, Yue
Formato: Artigo
Idioma:Inglês
Publicado em: Grapho Publications, LLC 2016
Assuntos:
Research Articles
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5243121/
https://ncbi.nlm.nih.gov/pubmed/28111634
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.18383/j.tom.2016.00199
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