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...

Descripción completa

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

Internet

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

Ejemplares similares