Evaluation of an artificial intelligent algorithm (Heartassist™) to automatically assess the quality of second trimester cardiac views: a prospective study

Author:

Pietrolucci Maria Elena1,Maqina Pavjola1,Mappa Ilenia1,Marra Maria Chiara1,D’ Antonio Francesco2,Rizzo Giuseppe1ORCID

Affiliation:

1. Department of Obstetrics and Gynecology , Fondazione Policlinico Tor Vergata, Università di Roma Tor Vergata , Roma , Italy

2. Department of Obstetrics and Gynecology , Università di Chieti , Foggia , Italy

Abstract

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.

Publisher

Walter de Gruyter GmbH

Subject

Obstetrics and Gynecology,Pediatrics, Perinatology and Child Health

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