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Intraluminal thrombus effect on the progression of abdominal aortic aneurysms by using a multistate continuous-time Markov chain model
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)...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7673060/ https://www.ncbi.nlm.nih.gov/pubmed/33176516 http://dx.doi.org/10.1177/0300060520968449 |
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author | Zhang, Liangliang Zambrano, Byron A. Choi, Jongeun Lee, Whal Baek, Seungik Lim, Chae Young |
author_facet | Zhang, Liangliang Zambrano, Byron A. Choi, Jongeun Lee, Whal Baek, Seungik Lim, Chae Young |
author_sort | Zhang, Liangliang |
collection | PubMed |
description | 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 (max(ILT)), the fraction of the wall area covered by the ILT (area(frac)) and the fraction of ILT volume (vol(frac)) were used as covariates. RESULTS: The analysis reviewed longitudinal CT images from 26 patients. Based on likelihood-ratio statistics, the area(frac) was the most significant biomarker and max(ILT) 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 area(frac) 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. |
format | Online Article Text |
id | pubmed-7673060 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-76730602020-11-24 Intraluminal thrombus effect on the progression of abdominal aortic aneurysms by using a multistate continuous-time Markov chain model Zhang, Liangliang Zambrano, Byron A. Choi, Jongeun Lee, Whal Baek, Seungik Lim, Chae Young J Int Med Res Retrospective Clinical Research Report 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 (max(ILT)), the fraction of the wall area covered by the ILT (area(frac)) and the fraction of ILT volume (vol(frac)) were used as covariates. RESULTS: The analysis reviewed longitudinal CT images from 26 patients. Based on likelihood-ratio statistics, the area(frac) was the most significant biomarker and max(ILT) 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 area(frac) 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. SAGE Publications 2020-11-12 /pmc/articles/PMC7673060/ /pubmed/33176516 http://dx.doi.org/10.1177/0300060520968449 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/ Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Retrospective Clinical Research Report Zhang, Liangliang Zambrano, Byron A. Choi, Jongeun Lee, Whal Baek, Seungik Lim, Chae Young Intraluminal thrombus effect on the progression of abdominal aortic aneurysms by using a multistate continuous-time Markov chain model |
title | Intraluminal thrombus effect on the progression of abdominal aortic aneurysms by using a multistate continuous-time Markov chain model |
title_full | Intraluminal thrombus effect on the progression of abdominal aortic aneurysms by using a multistate continuous-time Markov chain model |
title_fullStr | Intraluminal thrombus effect on the progression of abdominal aortic aneurysms by using a multistate continuous-time Markov chain model |
title_full_unstemmed | Intraluminal thrombus effect on the progression of abdominal aortic aneurysms by using a multistate continuous-time Markov chain model |
title_short | Intraluminal thrombus effect on the progression of abdominal aortic aneurysms by using a multistate continuous-time Markov chain model |
title_sort | intraluminal thrombus effect on the progression of abdominal aortic aneurysms by using a multistate continuous-time markov chain model |
topic | Retrospective Clinical Research Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7673060/ https://www.ncbi.nlm.nih.gov/pubmed/33176516 http://dx.doi.org/10.1177/0300060520968449 |
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