Evaluation of an artificial intelligent algorithm (Heartassist™) to automatically assess the quality of second trimester cardiac views: a prospective study
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Maria Elena Pietrolucci
Abstract
Objectives
The aim of this study was to evaluate the agreement between visual and automatic methods in assessing the adequacy of fetal cardiac views obtained during second trimester ultrasonographic examination.
Methods
In a prospective observational study frames of the four-chamber view left and right outflow tracts, and three-vessel trachea view were obtained from 120 consecutive singleton low-risk women undergoing second trimester ultrasound at 19–23 weeks of gestation. For each frame, the quality assessment was performed by an expert sonographer and by an artificial intelligence software (Heartassist™). The Cohen’s κ coefficient was used to evaluate the agreement rates between both techniques.
Results
The number and percentage of images considered adequate visually by the expert or with Heartassist™ were similar with a percentage >87 % for all the cardiac views considered. The Cohen’s κ coefficient values were for the four-chamber view 0.827 (95 % CI 0.662–0.992), 0.814 (95 % CI 0.638–0.990) for left ventricle outflow tract, 0.838 (95 % CI 0.683–0.992) and three vessel trachea view 0.866 (95 % CI 0.717–0.999), indicating a good agreement between the two techniques.
Conclusions
Heartassist™ allows to obtain the automatic evaluation of fetal cardiac views, reached the same accuracy of expert visual assessment and has the potential to be applied in the evaluation of fetal heart during second trimester ultrasonographic screening of fetal anomalies.
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Research funding: None declared.
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Author contributions: All Authors provided a substantial contributions to the conception or design of the work; or the acquisition, analysis, or interpretation of data for the work; drafting the work or revising it critically for important intellectual content; final approval of the version to be published; agreement to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.
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Competing interests: Authors state no conflict of interest.
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Informed consent: Informed consent was obtained from all individuals included in this study.
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Ethical Approval: The study was approved by our Institutional Ethical Board (RS 45.22 29 March 2022).
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Data availability: Data available on reasonable request.
References
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Supplementary Material
This article contains supplementary material (https://doi.org/10.1515/jpm-2023-0052).
© 2023 Walter de Gruyter GmbH, Berlin/Boston
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Artikel in diesem Heft
- Frontmatter
- Reviews
- Covid-19 vaccination and pregnancy: a systematic review of maternal and neonatal outcomes
- Improvised bubble continuous positive airway pressure ventilation use in neonates in resource-limited settings: a systematic review and meta-analysis
- Opinion Papers
- Anger: an underappreciated destructive force in healthcare
- Severe maternal thrombocytopenia and prenatal invasive procedures: still a grey zone
- Commentary
- The care of the magic of life before and after its beginning
- Original Articles – Obstetrics
- The impact of trimester of COVID-19 infection on pregnancy outcomes after recovery
- Adverse outcomes and maternal complications in pregnant women with severe-critical COVID-19: a tertiary center experience
- Are bacteria, fungi, and archaea present in the midtrimester amniotic fluid?
- Bioavailability of the tumor necrosis factor alpha/regulated on activation, normal T cell expressed and secreted (RANTES) biosystem inside the gestational sac during the pre-immune stages of embryo development
- The role of the soluble fms-like tyrosine kinase-1/placental growth factor (sFlt-1/PIGF) – ratio in clinical practice in obstetrics: diagnostic and prognostic value
- Prenatal diagnosis of non-mosaic sex chromosome abnormalities: a 10-year experience from a tertiary referral center
- Prediction of lung maturity through quantitative ultrasound analysis of fetal lung texture in women with diabetes during pregnancy
- Evaluation of an artificial intelligent algorithm (Heartassist™) to automatically assess the quality of second trimester cardiac views: a prospective study
- Original Article – Fetus
- Fetal brain activity and the free energy principle
- Predictive value of ultrasound in prenatal diagnosis of hypospadias: hints for accurate diagnosis
- The effect of maternal diabetes on the expression of gamma-aminobutyric acid and metabotropic glutamate receptors in male newborn rats’ inferior colliculi
- Original Articles – Neonates
- Respiratory function monitoring during early resuscitation and prediction of outcomes in prematurely born infants
- Quality improvement sustainability to decrease utilization drift for therapeutic hypothermia in the NICU
- Short Communication
- Use of a pocket-device point-of-care ultrasound to assess cervical dilation in labor: correlation and patient experience
- Letters to the Editor
- Correspondence on “COVID-19 vaccination and pregnancy”
- Response to the letter to the editor regarding “Covid-19 vaccination and pregnancy: a systematic review of maternal and neonatal outcomes”
