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The Role of Anatomical Dissection in Defining Colic and Small Bowel Artery Lymphovascular Bundles in the D3 Volume of Small and Large Bowel Mesentery
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Size and dissection: what is the relation?

Amer Harky1,2,3, Mohamad Bashir1, Athanasios Antoniou1

  • 1Department of Cardiac Surgery, Barts Heart Centre, St Bartholomew's Hospital, West Smithfield, London, EC1A 7BE UK.

Indian Journal of Thoracic and Cardiovascular Surgery
|October 16, 2020
PubMed
Summary
This summary is machine-generated.

Thoracic aortic aneurysms are complex. While size was once a reliable marker, its variability makes it a non-specific predictor for outcomes and interventions like type A aortic dissection.

Keywords:
AortaAortic dissectionDissection size

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Area of Science:

  • Cardiovascular Medicine
  • Vascular Surgery
  • Genetics

Background:

  • Thoracic aortic aneurysms (TAA) are complex vascular diseases with potentially fatal outcomes, including acute aortic syndrome.
  • Aneurysm size has been a primary clinical marker for intervention, but its predictive value is limited due to variable growth.
  • Factors influencing aneurysm growth include age, genetic disorders, hypertension, and smoking.

Purpose of the Study:

  • To review the current literature on the relationship between thoracic aortic aneurysm size and type A aortic dissection.
  • To evaluate the utility of aneurysm size as a predictor of adverse aortic events.

Main Methods:

  • Systematic literature review of studies investigating thoracic aortic aneurysm size and type A aortic dissection.
  • Analysis of factors influencing aneurysm growth and their impact on clinical outcomes.

Main Results:

  • Aortic aneurysm size is a variable and non-specific marker for predicting outcomes.
  • Aneurysm growth is influenced by a multitude of factors, complicating its use as a sole predictive tool.
  • The direct correlation between aneurysm size and type A aortic dissection requires further investigation.

Conclusions:

  • Thoracic aortic aneurysm size alone is an insufficient predictor for clinical intervention and outcomes.
  • A multifactorial approach is necessary to accurately assess TAA risk and guide treatment decisions.
  • Further research is needed to refine predictive models for TAA, incorporating genetic and clinical factors alongside size.