Dual-Source Computed Tomography Evaluation of Children with Congenital Pulmonary Valve Stenosis

Zhanguo Sun1, Wenjian Xu2, Shuran Huang3

  • 1Department of Radiology, Affiliated Hospital of Qingdao University, Qingdao City, China; Shandong Provincial Key Laboratory of Cardiac Disease Diagnosis and Treatment, Affiliated Hospital of Jining Medical University, Jining, China.

Insights

Dual-source computed tomography (DSCT) effectively evaluates pediatric congenital pulmonary valve stenosis (PS). Lower heart rates improve DSCT image quality, aiding diagnosis and treatment planning for children with PS.

Area of Science:

  • Cardiology
  • Pediatric Imaging
  • Radiology

Background:

  • Congenital pulmonary valve stenosis (PS) diagnosis in children requires advanced imaging techniques.
  • Dual-source computed tomography (DSCT) has shown promise in adult and infant cardiac imaging, but its utility in pediatric PS is not well-established.

Purpose of the Study:

  • To establish a standardized DSCT protocol for imaging children with congenital PS.
  • To assess the image quality of DSCT in pediatric PS patients.
  • To provide a diagnostic evaluation framework for PS using DSCT.

Main Methods:

  • Ninety-eight children with congenital PS underwent DSCT.
  • Participants were stratified by age and heart rate.
  • Image quality was graded, and correlation analysis identified factors influencing quality.
  • DSCT findings were compared with surgical outcomes.

Main Results:

  • 73.4% of cases achieved diagnostic image quality (score ≥ 3).
  • Image quality was significantly better in older children.
  • Higher heart rates correlated with decreased image quality (P < 0.01).
  • DSCT accurately assessed pulmonary valve morphology and function compared to surgery.

Conclusions:

  • Heart rate is a critical factor influencing DSCT image quality in pediatric PS.
  • DSCT offers a reliable method for functional evaluation of congenital PS in children.
  • DSCT provides a basis for developing targeted treatment strategies.
Abstract

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