Application and Evaluation of Spiral CT in the Diagnosis of Congenital Heart Disease in Children
Year: 2025
Type: article
Abstract: Wenjuan Chen, Peng Pan Department of Radiology, Children’s Hospital of Soochow University, Suzhou, Jiangsu, 215025, People’s Republic of ChinaCorrespondence: Wenjuan Chen, Email [email protected]: This study aims to explore the application of spiral CT in the diagnosis of congenital heart disease in children and evaluate its clinical value.Methods: The study included children diagnosed and treated at our hospital from January 2021 to October 2023 as research subjects. After excluding children who did not meet the complete inclusion criteria, a total of 60 cases were finally included. General data of all children were collected and summarized. Spiral CT and echocardiography were performed on all children, and the diagnostic results of both were compared with surgical findings to analyze and evaluate their application effectiveness.Results: Spiral CT detected 39 cases of intracardiac anomalies, 30 cases of abnormal connections of the great vessels, and 66 cases of extracardiac vascular anomalies, while echocardiography detected 33 cases of intracardiac anomalies, 29 cases of abnormal connections of the great vessels, and 43 cases of extracardiac vascular anomalies. Compared with surgical results, the detection rate of extracardiac vascular anomalies (98.59%) and the overall cardiovascular anomaly detection rate (98.54%) by spiral CT were significantly higher than those by echocardiography, with P< 0.05.Conclusion: Spiral CT is a high-resolution, rapid, and safe imaging technique. Compared with traditional echocardiography, it is not only superior in diagnostic accuracy but also faster in imaging speed. It can clearly display the anatomical structure and spatial relationships of lesions, making it of great value in the diagnosis of congenital heart disease in children. It is suitable for clinical promotion and use.Keywords: spiral CT, 128-slice CT, congenital heart disease, diagnosis, application evaluation
Authors: Chen W, Pan P
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7054682864
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