Preoperative Computed Tomography Scan Analysis of Interleaflets Triangles to Guide Aortic Root Repair Procedures
Claudia Romagnoni1, Andrea Mangini2,3, Monica Contino2
1Cardiovascular Surgery Department, ASST Fatebenefratelli-Sacco, Milan, Italy. Electronic correspondence: clau.romagnoni@hotmail.it.
Three-dimensional CT scans accurately assess subcommissural triangles in the ventriculo-aortic junction (VAJ), aiding aortic valve repair. This method helps tailor surgical approaches for better patient outcomes.
Area of Science:
- Cardiac surgery
- Cardiovascular imaging
- Anatomical studies
Background:
- Dilation of the ventriculo-aortic junction (VAJ) is a risk factor for aortic valve repair failure.
- Interleaflets triangles are crucial VAJ components but are difficult to visualize with echocardiography.
- Three-dimensional (3D) reconstruction of computed tomography (CT) scan images offers detailed VAJ analysis.
Purpose of the Study:
- To develop and validate a CT-scan-based method for visualizing and measuring interleaflets triangles.
- To evaluate the apical angles of subcommissural triangles using 3D CT reconstructions.
- To compare CT-derived measurements with post-mortem data for validation.
Main Methods:
- A novel method using multiplanar post-processing of CT scan images was developed to visualize interleaflets triangles.
- Focus was placed on evaluating the apical angles of these triangles.
- CT scan data were compared against measurements from a prior post-mortem study.
Main Results:
- CT scan group angles between coronary sinuses were approximately 46.23°, 47.38°, and 45°.
- Post-mortem group angles were similar, measuring 45.44°, 48.31°, and 50.25°.
- No statistically significant differences were found between CT scan and post-mortem measurements (p > 0.05).
Conclusions:
- A classification system for subcommissural triangles (acute, equilateral, obtuse) based on angles can guide surgical repair.
- 3D CT reconstruction provides a validated method for preoperative evaluation of VAJ and subcommissural triangles.
- This imaging approach enables personalized surgical planning for aortic valve repair.
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