Evidence map›Paper›PMID 31423432›Full record

ArticleWorld journal of clinical cases2019

Evaluation of right ventricular volume and systolic function in normal fetuses using intelligent spatiotemporal image correlation.

Jia-Xing Sun, Ai-Lu Cai, Li-Mei Xie

Abstract read
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Article in World journal of clinical cases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Advanced imaging of fetal cardiac function.Frontiers in cardiovascular medicine · 2023
    Review
  2. 4D imaging of fetal right ventricle-feasibility study and a review of the literature.The international journal of cardiovascular imaging · 2022
    Review
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jia-Xing SunUltrasound Department, Shengjing Hospital of China Medical University, Shenyang 110004, Liaoning Province, China.
Ai-Lu CaiUltrasound Department, Shengjing Hospital of China Medical University, Shenyang 110004, Liaoning Province, China.
Li-Mei XieUltrasound Department, Shengjing Hospital of China Medical University, Shenyang 110004, Liaoning Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHeart defects are the most common congenital malformations in fetuses. Fetal cardiac structure and function abnormalities lead to changes in ventricular volume. As ventricular volume is an important index for evaluating fetal cardiovascular development, an effective and reliable method for measuring fetal ventricular volume and cardiac function is necessary for accurate ultrasonic diagnosis and effective clinical treatment. The new intelligent spatiotemporal image correlation (iSTIC) technology acquires high-resolution volumetric images. In this study, the iSTIC technique was used to measure right ventricular volume and to evaluate right ventricular systolic function to provide a more accurate and convenient evaluation of fetal heart function.

aimTo investigate the value of iSTIC in evaluating right ventricular volume and systolic function in normal fetuses.

methodsBetween October 2014 and September 2015, a total of 123 pregnant women received prenatal ultrasound examinations in our hospital. iSTIC technology was used to acquire the entire fetal cardiac volume with off-line analysis using QLAB software. Cardiac systolic and diastolic phases were defined by opening of the atrioventricular valve and the subsequent closure of the atrioventricular valve. The volumetric data of the two phases were measured by manual tracking and summation of multiple slices and recording of the right ventricular end-systolic volume and the right ventricular end-diastolic volume. The data were used to calculate the right stroke volume, the right cardiac output, and the right ejection fraction. The correlations of changes between the above-mentioned indices and gestational age were analyzed. The right ventricular volumes of 30 randomly selected cases were measured twice by the same sonographer, and the intra-observer agreement measurements were calculated.

resultsAmong the 123 normal fetuses, the mean right ventricular end-diastolic volume increased from 0.99 ± 0.34 mL at 22 wk gestation to 3.69 ± 0.36 mL at 35

conclusionFetal right ventricular volume can be quantitatively measured using iSTIC technology with relative ease and high repeatability. iSTIC technology is expected to provide a new method for clinical evaluation of fetal cardiac function.

Indexed as

Cardiac functionFetusIntelligent spatiotemporal image correlationRight ventricular volumeUltrasonography

Identifiers

PMID31423432
PMCPMC6695553

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