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Development and Validation of Generalized Linear Regression Models to Predict Vessel Enhancement on Coronary CT Angiography

OBJECTIVE: We evaluated the effect of various patient characteristics and time-density curve (TDC)-factors on the test bolus-affected vessel enhancement on coronary computed tomography angiography (CCTA). We also assessed the value of generalized linear regression models (GLMs) for predicting enhanc...

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Detalles Bibliográficos
Autores principales:	Masuda, Takanori, Nakaura, Takeshi, Funama, Yoshinori, Sato, Tomoyasu, Higaki, Toru, Kiguchi, Masao, Matsumoto, Yoriaki, Yamashita, Yukari, Imada, Naoyuki, Awai, Kazuo
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	The Korean Society of Radiology 2018
Materias:	Cardiovascular Imaging
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6201979/ https://www.ncbi.nlm.nih.gov/pubmed/30386134 http://dx.doi.org/10.3348/kjr.2018.19.6.1021

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