Mapping pre-dissection aortic wall abnormalities: a multiparametric assessment.

Area of Science:

• Cardiovascular Imaging
• Biomedical Engineering
• Connective Tissue Diseases

Background:

• Maximal aortic diameter is a standard but insufficient predictor of aortic dissection timing and location in connective tissue disease patients.
• Current surveillance methods lack precision in identifying dissection initiation sites.
• There is a need for advanced imaging analysis to understand dissection pathogenesis.

Purpose of the Study:

• To investigate the correlation between 3D aortic growth and cyclic transmural wall stress with intimal tear location in patients with connective tissue disease.
• To explore novel imaging analysis techniques for improved aortic dissection risk stratification.
• To identify key biomechanical factors preceding aortic dissection events.

Main Methods:

• Retrospective analysis of 3 patients with type B aortic dissection and pre-dissection CTA scans.
• Utilized vascular deformation mapping to quantify 3D aortic growth between scans.
• Performed computational analysis to estimate patient-specific cyclic transmural wall stress.

Main Results:

• The intimal tear site consistently co-localized with peak 3D aortic wall growth areas in all patients.
• Peak transmural stress also co-localized with the intimal tear site in all analyzed cases.
• Aortic growth was underestimated by standard radiological assessment in most cases.

Conclusions:

• Focal areas of 3D aortic growth and transmural wall stress are associated with the site of intimal tear formation.
• These findings suggest a new analytical pathway for assessing dissection initiation factors in connective tissue disease.
• The proposed methods hold potential for enhancing current aortic dissection risk-stratification techniques.