Patient-Specific Prediction of Abdominal Aortic Aneurysm Expansion Using Bayesian Calibration

Translating recent advances in abdominal aortic aneurysm (AAA) growth and remodeling (G&R) knowledge into a predictive, patient-specific clinical treatment tool requires a major paradigm shift in computational modeling. The objectives of this study are to develop a prediction framework that firs...

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Veröffentlicht in:	IEEE journal of biomedical and health informatics 2019-11, Vol.23 (6), p.2537-2550
Hauptverfasser:	Zhang, Liangliang, Jiang, Zhenxiang, Choi, Jongeun, Lim, Chae Young, Maiti, Tapabrata, Baek, Seungik
Format:	Artikel
Sprache:	eng
Schlagworte:	Abdominal aortic aneurysm (AAA) Aneurysm Aneurysms Aorta Aortic Aneurysm, Abdominal - diagnostic imaging Aortic Aneurysm, Abdominal - pathology Aortic aneurysms Bayes methods Bayes Theorem Bayesian analysis bayesian calibration Calibration Computational modeling Computed tomography Computer applications Computer Simulation CT scan Data models Disease Progression Expansion growth and remodeling (G&R) computational model Humans Image Interpretation, Computer-Assisted - methods Patient-Specific Modeling patient-specific predictive modeling Patients Predictions Predictive models Tomography, X-Ray Computed Uncertainty
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