Contact pressure explains half of the abdominal aortic aneurysms wall thickness inter-study variability
The stochastic rupture risk assessment of an abdominal aortic aneurysm (AAA) critically depends on sufficient data set size that would allow for the proper distribution estimate. However, in most published cases, the data sets comprise no more than 100 samples, which is deemed insufficient to descri...
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| description | The stochastic rupture risk assessment of an abdominal aortic aneurysm (AAA) critically depends on sufficient data set size that would allow for the proper distribution estimate. However, in most published cases, the data sets comprise no more than 100 samples, which is deemed insufficient to describe the tails of AAA wall thickness distribution correctly. In this study, we propose a stochastic Bayesian model to merge thickness data from various groups. The thickness data adapted from the literature were supplemented by additional data from 81 patients. The wall thickness was measured at two different contact pressures for 34 cases, which allowed us to estimate the radial stiffness. Herein, the proposed stochastic model is formulated to predict the undeformed wall thickness. Furthermore, the model is able to handle data published solely as summary statistics. After accounting for the different contact pressures, the differences in the medians reported by individual groups decreased by 45%. Combined data can be fitted with a lognormal distribution with parameters μ = 0.85 and σ = 0.32 which can be further used in stochastic analyses. |
| doi_str_mv | 10.1371/journal.pone.0314368 |
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However, in most published cases, the data sets comprise no more than 100 samples, which is deemed insufficient to describe the tails of AAA wall thickness distribution correctly. In this study, we propose a stochastic Bayesian model to merge thickness data from various groups. The thickness data adapted from the literature were supplemented by additional data from 81 patients. The wall thickness was measured at two different contact pressures for 34 cases, which allowed us to estimate the radial stiffness. Herein, the proposed stochastic model is formulated to predict the undeformed wall thickness. Furthermore, the model is able to handle data published solely as summary statistics. After accounting for the different contact pressures, the differences in the medians reported by individual groups decreased by 45%. 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This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2024 Public Library of Science</rights><rights>2024 Kracík et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2024 Kracík et al 2024 Kracík et al</rights><rights>2024 Kracík et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c526t-9dac776925fb0be5da4eb69c8dd4fde02cf015050e802e6fb2c9df694749fbc53</cites><orcidid>0000-0002-5439-2009 ; 0000-0002-7092-9128</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11611137/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11611137/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2100,2919,23857,27915,27916,53782,53784,79361,79362</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39621730$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Çalık, Eyüp Serhat</contributor><creatorcontrib>Kracík, Jan</creatorcontrib><creatorcontrib>Kubíček, Luboš</creatorcontrib><creatorcontrib>Staffa, Robert</creatorcontrib><creatorcontrib>Polzer, Stanislav</creatorcontrib><title>Contact pressure explains half of the abdominal aortic aneurysms wall thickness inter-study variability</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>The stochastic rupture risk assessment of an abdominal aortic aneurysm (AAA) critically depends on sufficient data set size that would allow for the proper distribution estimate. However, in most published cases, the data sets comprise no more than 100 samples, which is deemed insufficient to describe the tails of AAA wall thickness distribution correctly. In this study, we propose a stochastic Bayesian model to merge thickness data from various groups. The thickness data adapted from the literature were supplemented by additional data from 81 patients. The wall thickness was measured at two different contact pressures for 34 cases, which allowed us to estimate the radial stiffness. Herein, the proposed stochastic model is formulated to predict the undeformed wall thickness. Furthermore, the model is able to handle data published solely as summary statistics. After accounting for the different contact pressures, the differences in the medians reported by individual groups decreased by 45%. Combined data can be fitted with a lognormal distribution with parameters μ = 0.85 and σ = 0.32 which can be further used in stochastic analyses.</description><subject>Abdomen</subject><subject>Accuracy</subject><subject>Aged</subject><subject>Analysis</subject><subject>Aneurysms</subject><subject>Aorta</subject><subject>Aorta, Abdominal - diagnostic imaging</subject><subject>Aorta, Abdominal - pathology</subject><subject>Aorta, Abdominal - physiopathology</subject><subject>Aortic Aneurysm, Abdominal - diagnostic imaging</subject><subject>Aortic Aneurysm, Abdominal - pathology</subject><subject>Aortic Aneurysm, Abdominal - physiopathology</subject><subject>Aortic aneurysms</subject><subject>Aortic Rupture - diagnostic imaging</subject><subject>Aortic Rupture - pathology</subject><subject>Aortic Rupture - physiopathology</subject><subject>Bayes Theorem</subject><subject>Bayesian analysis</subject><subject>Bayesian statistical decision theory</subject><subject>Blood 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pressure explains half of the abdominal aortic aneurysms wall thickness inter-study variability</title><author>Kracík, Jan ; Kubíček, Luboš ; Staffa, Robert ; Polzer, Stanislav</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c526t-9dac776925fb0be5da4eb69c8dd4fde02cf015050e802e6fb2c9df694749fbc53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Abdomen</topic><topic>Accuracy</topic><topic>Aged</topic><topic>Analysis</topic><topic>Aneurysms</topic><topic>Aorta</topic><topic>Aorta, Abdominal - diagnostic imaging</topic><topic>Aorta, Abdominal - pathology</topic><topic>Aorta, Abdominal - physiopathology</topic><topic>Aortic Aneurysm, Abdominal - diagnostic imaging</topic><topic>Aortic Aneurysm, Abdominal - pathology</topic><topic>Aortic Aneurysm, Abdominal - physiopathology</topic><topic>Aortic aneurysms</topic><topic>Aortic Rupture - diagnostic imaging</topic><topic>Aortic 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Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kracík, Jan</au><au>Kubíček, Luboš</au><au>Staffa, Robert</au><au>Polzer, Stanislav</au><au>Çalık, Eyüp Serhat</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Contact pressure explains half of the abdominal aortic aneurysms wall thickness inter-study variability</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2024-12-02</date><risdate>2024</risdate><volume>19</volume><issue>12</issue><spage>e0314368</spage><pages>e0314368-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>The stochastic rupture risk assessment of an abdominal aortic aneurysm (AAA) critically depends on sufficient data set size that would allow for the proper distribution estimate. However, in most published cases, the data sets comprise no more than 100 samples, which is deemed insufficient to describe the tails of AAA wall thickness distribution correctly. In this study, we propose a stochastic Bayesian model to merge thickness data from various groups. The thickness data adapted from the literature were supplemented by additional data from 81 patients. The wall thickness was measured at two different contact pressures for 34 cases, which allowed us to estimate the radial stiffness. Herein, the proposed stochastic model is formulated to predict the undeformed wall thickness. Furthermore, the model is able to handle data published solely as summary statistics. After accounting for the different contact pressures, the differences in the medians reported by individual groups decreased by 45%. Combined data can be fitted with a lognormal distribution with parameters μ = 0.85 and σ = 0.32 which can be further used in stochastic analyses.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>39621730</pmid><doi>10.1371/journal.pone.0314368</doi><tpages>e0314368</tpages><orcidid>https://orcid.org/0000-0002-5439-2009</orcidid><orcidid>https://orcid.org/0000-0002-7092-9128</orcidid><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; Public Library of Science; Full-Text Journals in Chemistry (Open access); DOAJ Directory of Open Access Journals; PubMed Central; EZB Electronic Journals Library |
| subjects | Abdomen Accuracy Aged Analysis Aneurysms Aorta Aorta, Abdominal - diagnostic imaging Aorta, Abdominal - pathology Aorta, Abdominal - physiopathology Aortic Aneurysm, Abdominal - diagnostic imaging Aortic Aneurysm, Abdominal - pathology Aortic Aneurysm, Abdominal - physiopathology Aortic aneurysms Aortic Rupture - diagnostic imaging Aortic Rupture - pathology Aortic Rupture - physiopathology Bayes Theorem Bayesian analysis Bayesian statistical decision theory Blood clots Care and treatment Chronic obstructive pulmonary disease Contact pressure Coronary vessels Datasets Deformation Diagnosis Engineering and Technology Evaluation Female Finite element method Group theory Humans Information management Male Medicine and Health Sciences Patients Physical Sciences Pressure Research and Analysis Methods Risk assessment Stochastic models Stochastic Processes Stochasticity Thickness measurement |
| title | Contact pressure explains half of the abdominal aortic aneurysms wall thickness inter-study variability |
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