Clinical application of the quantitative fetal heart quantification in the evaluation of right heart function in fetuses with redundancy foramen ovale flap.

IF 2.9 3区医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

BMC Medical Imaging Pub Date : 2025-02-25 DOI:10.1186/s12880-025-01601-8

Xiao-Rong Su, Ai-Lin Wang, Hong-Xia Tie, Qiong-Yu Yang, Shu-Na Cao, Tian-Gang Li

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引用次数: 0

Abstract

Background: To investigate the clinical value of fetal heart quantification (fetal HQ) in the evaluation of right ventricular size, morphology and cardiac function in fetuses with redundancy foramen ovale flap (RFOF).

Methods: 31 fetuses diagnosed with RFOF through echocardiography from September 2021 to December 2023 were selected as the control group, and 62 healthy fetuses that matched the age and gestational period of the pregnant women in the RFOF group were chosen as the control group. Fetal HQ software provided by GE Voluson E10 was employed to automatically track endocardial parameters of the right ventricle in 24 segments.

Results: The internal diameter of foramen ovale in RFOF group was significantly smaller than that of normal fetal diameter in control group, with statistical significance (P < 0.05). Comparing the morphological parameters of the fetuses in the RFOF group and the control group, there was no statistically significant difference in the GSI scores (P > 0.05), but the RV-LED of the fetuses in the RFOF group in the segments of 1-24 were higher than the fetuses in the normal control group (both P < 0.05), and the RV-SI was lower than that in the normal control group (all P < 0.05).

Conclusions: The Fetal HQ technique enables accurate localisation of the site of the RFOF foetal lesion by rapid quantitative analysis of morphological and functional parameters of the right ventricle of the foetal heart.

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来源期刊

BMC Medical Imaging RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-

CiteScore

4.60

自引率

3.70%

发文量

198

审稿时长

27 weeks

期刊介绍： BMC Medical Imaging is an open access journal publishing original peer-reviewed research articles in the development, evaluation, and use of imaging techniques and image processing tools to diagnose and manage disease.