Bio inspired technological performance in color Doppler ultrasonography and echocardiography for enhanced diagnostic precision in fetal congenital heart disease

IF 2.5 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS SLAS Technology Pub Date : 2024-10-11 DOI:10.1016/j.slast.2024.100207
Kang Zhang, Jing Zhong
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Abstract

The aim of this experiment is to investigate the bioinspired diagnostic performance of color Doppler ultrasound (CDUS) and two-dimensional (2D) echocardiography (ECG) for fetal congenital heart disease (FCHD). The research subjects were 33 expectant mothers with a diagnosis of FCHD at Xiangyang No. 1 People's Hospital between January 2017 and January 2021. The accuracy, sensitivity, and specificity of the two detection techniques were computed to ascertain and compare the diagnostic efficiency after CDUS and ECG examinations of all pregnant women. According to the findings, the prenatal CDUS detection rate was 92.61% higher than the 2D ECG detection rate (64.32%). The CDUS had an accuracy of 93.94%, sensitivity of 93.55%, and specificity of 100%, detecting 29 true positives, 0 false positives, 2 false negatives, and 2 true negatives. At 84.85% accuracy, 88.89% sensitivity, and 80% specificity, the 2D ECG identified 16 true positives, 3 false positives, 2 false positives, and 12 true negatives. There was a statistically significant (P < 0.05) difference between the accuracy, sensitivity, and specificity of 2D ECG and CDUS. In summary, CDUS was more effective than 2D ECG in diagnosing prenatal FCHD, and it also had a lower rate of missed and incorrect diagnoses.
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彩色多普勒超声和超声心动图的生物启发技术性能可提高胎儿先天性心脏病的诊断精度。
本实验旨在研究彩色多普勒超声(CDUS)和二维超声心动图(ECG)对胎儿先天性心脏病(FCHD)的生物启发诊断性能。研究对象为2017年1月至2021年1月期间在襄阳市第一人民医院确诊为FCHD的33名准妈妈。计算两种检测技术的准确性、敏感性和特异性,以确定和比较所有孕妇在接受CDUS和心电图检查后的诊断效率。结果显示,产前 CDUS 检测率为 92.61%,高于二维心电图检测率(64.32%)。CDUS 的准确率为 93.94%,灵敏度为 93.55%,特异性为 100%,检测出 29 个真阳性、0 个假阳性、2 个假阴性和 2 个真阴性。二维心电图的准确性为 84.85%,灵敏度为 88.89%,特异性为 80%,可发现 16 个真阳性、3 个假阳性、2 个假阴性和 12 个真阴性。二维心电图和 CDUS 的准确性、灵敏度和特异性之间的差异具有统计学意义(P < 0.05)。总之,在诊断产前 FCHD 方面,CDUS 比二维心电图更有效,漏诊率和误诊率也更低。
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来源期刊
SLAS Technology
SLAS Technology Computer Science-Computer Science Applications
CiteScore
6.30
自引率
7.40%
发文量
47
审稿时长
106 days
期刊介绍: SLAS Technology emphasizes scientific and technical advances that enable and improve life sciences research and development; drug-delivery; diagnostics; biomedical and molecular imaging; and personalized and precision medicine. This includes high-throughput and other laboratory automation technologies; micro/nanotechnologies; analytical, separation and quantitative techniques; synthetic chemistry and biology; informatics (data analysis, statistics, bio, genomic and chemoinformatics); and more.
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