Great vessel and coronary artery anatomy in transposition and other coronary anomalies: a universal descriptive and...

Area of Science:

• Cardiovascular Imaging
• Congenital Heart Disease
• Surgical Anatomy

Background:

• Accurate identification of coronary anatomy is critical for successful surgical outcomes in patients with transposition of the great arteries (TGA).
• Existing classifications for coronary anatomy in TGA are limited, often based on operative or pathological series, and do not fully integrate with modern imaging modalities like cardiovascular computed tomography (CT).
• Current classifications may not adequately address anatomical variations that increase surgical risk or clearly define spatial relationships relevant to surgical planning.

Purpose of the Study:

• To propose and validate a universal sequential descriptive classification for coronary anomalies in TGA.
• To develop an associated alphanumeric classification for broader clinical application.
• To leverage cardiovascular CT to delineate coronary anatomy and its relationship to adjacent structures.

Main Methods:

• Utilizing cardiovascular computed tomography (CT) to visualize and analyze coronary artery anatomy in TGA.
• Developing a novel sequential descriptive classification system.
• Creating a corresponding alphanumeric classification system.
• Validating the proposed classification system against existing knowledge and clinical relevance.

Main Results:

• The proposed universal classification system effectively describes coronary anatomy in TGA, including variations.
• The classification integrates anatomical details with spatial relationships visualized by cardiovascular CT.
• The system is applicable to coronary anomalies with or without associated congenital heart disease.

Conclusions:

• A new universal sequential descriptive and alphanumeric classification for coronary anomalies in TGA has been developed and validated.
• This classification enhances the understanding and communication of complex coronary anatomy, particularly when visualized with cardiovascular CT.
• The proposed system aims to improve surgical planning and reduce morbidity and mortality in TGA patients.