Analysis of Thoracic Aortic Aneurysm CTA Scans Using Spatial Statistics

This study leverages spatial statistics to analyze the spatial distribution of the aorta, aiming to better understand the biomechanical behavior of Ascending Thoracic Aortic Aneurysms (ATAA) and its impact on clinical outcomes. CTA angiography was performed on 87 ATAA patients. Experimental variograms were computed for various variables, such as maximum diameter, from which key parameters of interest were extracted. These parameters were then analyzed over time to assess temporal patterns. The goal of this analysis was to identify whether similar patterns or behaviors emerge in features from CTA scans of patients with aneurysms of similar sizes, ultimately aiming to statistically validate the quality of the CTA scans.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-07
DOI
https://doi.org/10.5281/zenodo.15167567
Primary Topic
Environmental Monitoring and Data Management
Type
article
Field-Weighted Citation Impact
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article

Analysis of Thoracic Aortic Aneurysm CTA Scans Using Spatial Statistics

Zenodo (CERN European Organization for Nuclear Research)
Environmental Monitoring and Data Management
article

Analysis of Thoracic Aortic Aneurysm CTA Scans Using Spatial Statistics

article en

Abstract

This study leverages spatial statistics to analyze the spatial distribution of the aorta, aiming to better understand the biomechanical behavior of Ascending Thoracic Aortic Aneurysms (ATAA) and its impact on clinical outcomes. CTA angiography was performed on 87 ATAA patients. Experimental variograms were computed for various variables, such as maximum diameter, from which key parameters of interest were extracted. These parameters were then analyzed over time to assess temporal patterns. The goal of this analysis was to identify whether similar patterns or behaviors emerge in features from CTA scans of patients with aneurysms of similar sizes, ultimately aiming to statistically validate the quality of the CTA scans.

Zenodo (CERN European Organization for Nuclear Research)
Center for Economic and Policy Research (US), University of Lisbon (PT), Universidade Aberta (PT), Cimos (Slovenia) (SI), Internet2 (US), Hospital de Santa Marta (PT), Fundación Ciencias Exactas y Naturales (AR), Universidade Nova de Lisboa (PT)
Openalex Percentile: Top 42%
Environmental Monitoring and Data Management
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