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Related Concept Videos

Indicators02:39

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Certain organic substances change color in dilute solution when the hydronium ion concentration reaches a particular value. For example, phenolphthalein is a colorless substance in any aqueous solution with a hydronium ion concentration greater than 5.0 × 10−9 M (pH < 8.3). In more basic solutions where the hydronium ion concentration is less than 5.0 × 10−9 M (pH > 8.3), it is red or pink. Substances such as phenolphthalein, which can be used to determine the pH of a solution, are...
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An aortic aneurysm is a localized outpouching or dilation at a weak point in the artery wall. It may involve different parts of the aorta, such as the abdominal aorta, aortic arch, or thoracic aorta.Etiological factorsSeveral disorders are associated with aortic aneurysms.Congenital causes, such as primary connective tissue disorders like Marfan syndrome, impact the integrity and strength of connective tissues, notably affecting the aorta. Marfan syndrome is a genetic disorder that specifically...
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Identical bonds within a polyatomic group can stretch symmetrically (in-phase) or asymmetrically (out-of-phase). Similar to hydrogen bonding, these vibrations also influence the shape of the IR peak. Generally, asymmetric stretching frequencies are higher than symmetric stretching frequencies. For example, primary amines exhibit two distinct IR peaks between 3300–3500 cm−1 corresponding to the symmetric and asymmetric N-H stretching, while secondary amines exhibit a single...
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Related Experiment Video

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Porcine Model of Infrarenal Abdominal Aortic Aneurysm
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(PEAK) WALL STRESS AS AN INDICATOR OF ABDOMINAL AORTIC ANEURYSM SEVERITY.

Golnaz Jalalahmadi1, María Helguera1,2, Doran S Mix3,4

  • 1Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology, Rochester, USA.

Proceedings. IEEE Western New York Image and Signal Processing Workshop
|July 26, 2019
PubMed
Summary

Abdominal aortic aneurysm (AAA) rupture risk assessment benefits from considering peak wall stress (PWS) over maximum diameter (Dmax). PWS, alongside geometric and biomechanical factors, offers a more comprehensive understanding of AAA severity.

Keywords:
Abdominal Aortic Aneurysm (AAA)Computed Tomography (CT)geometrical indicesimage processing

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Area of Science:

  • Cardiovascular Medicine
  • Biomedical Engineering
  • Medical Imaging

Background:

  • Abdominal aortic aneurysms (AAAs) are a significant cause of mortality.
  • Rupture of AAAs can be sudden and fatal.
  • Current clinical monitoring relies on maximum diameter (Dmax), which may not fully capture rupture risk.

Purpose of the Study:

  • To investigate the utility of peak wall stress (PWS) as a predictor of AAA rupture risk.
  • To compare the effectiveness of PWS against Dmax and other geometric/biomechanical factors.

Main Methods:

  • Analysis of 37 patient-specific CT datasets.
  • Calculation of PWS using Finite Element Analysis (FEA).
  • Correlation analysis between PWS and 24 geometric/biomechanical indices.

Main Results:

  • Eleven geometric and biomechanical factors showed a statistically significant correlation with PWS.
  • PWS demonstrated potential as a more sensitive indicator of AAA severity.
  • The study population had Dmax values below the 5.5 cm surgical threshold.

Conclusions:

  • Maximum diameter (Dmax) alone may be insufficient for predicting AAA behavior and rupture risk.
  • Peak wall stress (PWS) offers a valuable supplementary metric for AAA assessment.
  • Further research is warranted to integrate PWS into clinical decision-making for AAAs below the surgical threshold.