Intraluminal thrombus effect on the progression of abdominal aortic aneurysms by using a multistate continuous-time Markov chain model

Author:

Zhang Liangliang1,Zambrano Byron A.2,Choi Jongeun3,Lee Whal4,Baek Seungik5,Lim Chae Young6ORCID

Affiliation:

1. Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX, USA

2. Department of Mechanical Engineering, Texas A&M University, College Station, TX, USA

3. School of Mechanical Engineering, Yonsei University, Seoul, Republic of Korea

4. Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea

5. Department of Mechanical Engineering, Michigan State University, East Lansing, MI, USA

6. Department of Statistics, Seoul National University, Seoul, Republic of Korea

Abstract

Objective To investigate the relationship between the characteristics of intraluminal thrombus (ILT) with abdominal aortic aneurysm (AAA) expansion. Methods This retrospective clinical study applied homogeneous multistate continuous-time Markov chain models to longitudinal computed tomography (CT) data from Korean patients with AAA. Four AAA states were considered (early, mild, severe, fatal) and the maximal thickness of the ILT (maxILT), the fraction of the wall area covered by the ILT (areafrac) and the fraction of ILT volume (volfrac) were used as covariates. Results The analysis reviewed longitudinal CT images from 26 patients. Based on likelihood-ratio statistics, the areafrac was the most significant biomarker and maxILT was the second most significant. In addition, within AAAs that developed an ILT layer, the analysis found that the AAA expands relatively quickly during the early stage but the rate of expansion reduces once the AAA has reached a larger size. Conclusion The results recommend surgical intervention when a patient has an areafrac more than 60%. Although this recommendation should be considered with caution given the limited sample size, physicians can use the proposed model as a tool to find such recommendations with their own data.

Funder

National Research Foundation of Korea

National Heart, Lung, and Blood Institute

National Science Foundation

Publisher

SAGE Publications

Subject

Biochemistry, medical,Cell Biology,Biochemistry,General Medicine

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