Coronary artery fistulas in children. Evaluation with 64-slice multidetector CT

X Hu1, L Wu, F Liu

  • 1Radiology Department, Children's Hospital of Fudan University Shanghai, Shanghai, People's Republic of China.

Herz
|April 6, 2013
PubMed

Insights

Sixty-four-slice multidetector computed tomography (MDCT) angiography accurately diagnosed coronary artery fistulas (CAF) and their relationship to surrounding structures. This noninvasive imaging tool aids in planning therapeutic strategies for CAF.

Area of Science:

  • Cardiovascular Imaging
  • Diagnostic Radiology
  • Pediatric Cardiology

Background:

  • Coronary artery fistulas (CAF) present complex anatomical variations.
  • Accurate pre-procedural diagnosis of CAF is crucial for effective treatment planning.
  • Understanding the relationship between CAF and adjacent structures is essential for intervention or surgery.

Purpose of the Study:

  • To evaluate the feasibility of 64-slice multidetector computed tomography (MDCT) angiography in diagnosing CAF.
  • To assess the accuracy of MDCT in delineating CAF morphology and spatial relationships.
  • To compare MDCT measurements with intra-procedural or surgical findings.

Main Methods:

  • Retrospective analysis of coronary MDCT angiography in 10 pediatric patients with CAF.
  • Two blinded readers evaluated MDCT for origin, course, and distal entry site of CAF.
  • MDCT measurements of fistula diameters were compared with intervention or surgical data.

Main Results:

  • MDCT clearly depicted the origin, course, and distal entry site of CAF in all patients.
  • Diagnosis of CAF by MDCT correlated well with intervention or surgical findings.
  • Excellent correlation (R = 0.90-0.92) was observed between MDCT and transcatheter occlusion for diameter measurements.

Conclusions:

  • 64-slice MDCT angiography effectively visualizes the entire shape and course of CAF.
  • MDCT provides detailed information on surrounding structures, aiding surgical or interventional planning.
  • Coronary MDCT angiography is a valuable noninvasive tool for diagnosing and planning CAF treatment.
Abstract

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