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Published on: January 28, 2020
Significant changes in combined consistent biomarkers and CTAngiography revealed during an interval of 6months before
Pawel Szumilowicz1, Ireneusz Wiernicki1, Arkadiusz Kazimierczak1
1Department of Vascular Surgery and Angiology, Pomeranian Medical University, Szczecin, Poland.
Insights
Abdominal aortic aneurysm (AAA) diameter is a poor predictor of rupture. This case study explores changes in imaging and biomarkers to better predict AAA rupture risk.
Area of Science:
- Vascular Surgery
- Medical Imaging
- Biomarkers
Background:
- Abdominal aortic aneurysm (AAA) diameter is the primary predictor of rupture, but its accuracy is limited.
- Improved methods for predicting AAA rupture are crucial for clinical decision-making.
- Current predictive tools solely based on aneurysm size are insufficient.
Observation:
- A 72-year-old male with AAA experienced rupture transformation over six months.
- Computed tomography (CT) revealed morphological changes in the AAA.
- Concurrent alterations in circulating biomarkers were observed.
Findings:
- The study investigated the association between combined morphological and biomarker changes and AAA rupture risk.
- Morphological feature changes detected by CT were monitored.
- Changes in circulating biomarkers were analyzed alongside imaging findings.
Implications:
- Combining imaging and biomarker data may offer a more accurate prediction of AAA rupture.
- This approach could lead to improved clinical management strategies for AAA patients.
- Further research is warranted to validate these combined parameters as predictive tools.
Abstract:
The most commonly used predictor of rupture of abdominal aortic aneurysm (AAA) is the diameter, but this does not correlate well with the risk of rupture. Therefore, in order to make further improvements in clinical decisions regarding AAA patients, the development of additional predictive tools other than aneurysm size alone is needed. We herein report a case of a 72-year-old man with AAA that underwent rupture transformation during six months. We review the morphological features changes detected by computed tomography and also observe several alters circulating biomarkers at the same time. In the study presented essentially an association of those combined parameters with the risk of AAA impending rupture.
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