Fetal heart quantification technique improves the prenatal prediction of coarctation of the aorta: A retrospective analysis.

0 MEDICINE, RESEARCH & EXPERIMENTAL Biomolecules & biomedicine Pub Date : 2024-08-18 DOI:10.17305/bb.2024.10988
Xiaoxi Lu, Bowen Zhao, Mei Pan, Lijian Huang, Xiaomin Zhang, Xiaohui Peng, Ran Chen, Xiangdong Zhang
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Abstract

Coarctation of the aorta (CoA) ranks among the most prevalent congenital heart defects and poses a life-threatening risk if left undiagnosed. Herein, we utilized fetal heart quantification (HQ) technology to improve the prenatal prediction of CoA. A retrospective analysis was conducted on 64 fetal cases with suspected aortic arch constriction, identified through prenatal ultrasound findings between November 2020 and March 2022 at the Department of Ultrasound, Sir Run Run Shaw Hospital, Zhejiang University. According to the follow-up results, these cases were divided into two groups: 35 cases confirmed as CoA by postpartum surgery or induction, and 29 cases initially suspected of CoA prenatally but subsequently ruled out postnatally. Additionally, 88 cases of normal fetuses were randomly selected as the control group. Both conventional M-mode ultrasound techniques and Fetal HQ software were utilized for fetal analysis across all groups. Parameters related to the heart were measured, including fetal 4-CV length, width, Global Spherical Index (GSI), Mitral Annular Plane Systolic Excursion (MAPSE), areas and ratios of the left and right ventricles, as well as lengths and ratios of the left and right ventricles. Functional measurements of the left and right ventricles included ejection fraction (EF), fractional area change (FAC), global longitudinal strain (GLS), fractional shortening (FS), end-diastolic diameter (ED), and sphericity index (SI). Left ventricular (LV)-GLS, LV-FAC, LV-EF, and LV-EF Z-score could potentially differentiate between true CoA and false CoA or normal groups and serve as potential indicators for the clinical diagnosis of CoA. The receiver operating characteristic (ROC) curves indicated that LV-GLS and LV-EF Z-score have the greatest predictive power for CoA diagnosis. The segments 6-12 of FS in the confirmed CoA group were significantly lower than those in the false CoA and normal groups. Fetal HQ technology, by assessing changes in the size and shape of the heart, can provide relatively reliable parameter support for the prenatal diagnosis of fetal aortic coarctation.

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胎儿心脏定量技术提高了主动脉粥样硬化的产前预测能力:一项回顾性分析。
主动脉粥样硬化(CoA)是最常见的先天性心脏缺陷之一,如果不及时诊断,会有危及生命的风险。在此,我们利用胎儿心脏定量(HQ)技术来改善对 CoA 的产前预测。我们对浙江大学附属邵逸夫医院超声科在2020年11月至2022年3月期间通过产前超声检查发现的64例疑似主动脉弓缩窄的胎儿病例进行了回顾性分析。根据随访结果,这些病例被分为两组:35 例经产后手术或引产证实为 CoA,29 例产前初步怀疑为 CoA 但产后排除。此外,还随机抽取了 88 例正常胎儿作为对照组。所有组别均采用传统M型超声技术和Fetal HQ软件进行胎儿分析。测量与心脏有关的参数,包括胎儿 4-CV 长度、宽度、球形指数(GSI)、二尖瓣环平面收缩偏移(MAPSE)、左心室和右心室的面积和比例,以及左心室和右心室的长度和比例。左心室和右心室的功能测量包括射血分数(EF)、分数面积变化(FAC)、整体纵向应变(GLS)、分数缩短(FS)、舒张末期直径(ED)和球形指数(SI)。左心室(LV)-GLS、左心室-FAC、左心室-EF 和左心室-EF Z 评分可区分真性 CoA 和假性 CoA 或正常组,是临床诊断 CoA 的潜在指标。接受者操作特征曲线(ROC)显示,LV-GLS 和 LV-EF Z 评分对 CoA 诊断的预测能力最强。确诊 CoA 组中 FS 的 6-12 段明显低于假性 CoA 组和正常组。胎儿 HQ 技术通过评估心脏大小和形状的变化,可为胎儿主动脉瓣狭窄的产前诊断提供相对可靠的参数支持。
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