Abstract
Purpose
Spatiotemporal image correlation (STIC) is an excellent imaging modality for observing the fetal heart. High-quality STIC volume data are needed for an antenatal anatomic survey to diagnose congenital heart disease. We aimed to clarify the causes of unsuccessful STIC volume data acquisition and describe a more accurate, efficient STIC examination.
Methods
This cross-sectional study of 1124 women with fetuses assessed risk factors for unsuccessful acquisition of STIC volume data. Logistic regression analysis quantified the relation between unsuccessful acquisition and clinical variables, including maternal body mass index (BMI), shadowing artifacts due to unexpected fetal limb movement (SAU), estimated fetal weight (EFW), gestational age (GA), use of volume rendering images in four-dimensional ultrasonography (4D-US), fetal heart rate (FHR), maternal age, anterior placenta, and prior lower abdominal surgery.
Results
STIC volume data acquisition was unsuccessful in 210 of 1124 (18.6%) cases. SAU, BMI ≥ 28 kg/m2, not using volume rendering images in 4D-US, EFW ≥ 1300 g, and anterior placenta were independent risk factors for unsuccessful STIC data acquisition.
Conclusions
Avoiding SAU was the most important factor for accurate, efficient STIC evaluations for diagnosing congenital heart disease antenatally. The risk was not explained by lack of sonographer proficiency. Volume rendering images in 4D-US is a promising approach to successful acquisition of STIC volume data.
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Acknowledgements
We express our gratitude to all members of the clinical laboratory in our hospital.
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The authors have no conflicts of interest to declare.
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All procedures followed were in accordance with the ethical standards of the responsible committees on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2008. Informed consent was obtained from all patients to be included in the study.
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Inubashiri, E., Tatedo, S., Nishiyama, N. et al. Feasibility assessment for successfully visualizing the fetal heart utilizing spatiotemporal image correlation. J Med Ultrasonics 45, 269–279 (2018). https://doi.org/10.1007/s10396-017-0818-1
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DOI: https://doi.org/10.1007/s10396-017-0818-1