Cargando…

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)...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Liangliang, Zambrano, Byron A., Choi, Jongeun, Lee, Whal, Baek, Seungik, Lim, Chae Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
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
_version_ 1783611259113963520
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
work_keys_str_mv AT zhangliangliang intraluminalthrombuseffectontheprogressionofabdominalaorticaneurysmsbyusingamultistatecontinuoustimemarkovchainmodel
AT zambranobyrona intraluminalthrombuseffectontheprogressionofabdominalaorticaneurysmsbyusingamultistatecontinuoustimemarkovchainmodel
AT choijongeun intraluminalthrombuseffectontheprogressionofabdominalaorticaneurysmsbyusingamultistatecontinuoustimemarkovchainmodel
AT leewhal intraluminalthrombuseffectontheprogressionofabdominalaorticaneurysmsbyusingamultistatecontinuoustimemarkovchainmodel
AT baekseungik intraluminalthrombuseffectontheprogressionofabdominalaorticaneurysmsbyusingamultistatecontinuoustimemarkovchainmodel
AT limchaeyoung intraluminalthrombuseffectontheprogressionofabdominalaorticaneurysmsbyusingamultistatecontinuoustimemarkovchainmodel