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Published in: European Radiology 6/2021

01-06-2021 | Ultrasound | Editorial Comment

Fetal MRI-based artificial intelligence in gestational age prediction——a practical solution to an unsolved problem?

Authors: Gregor Kasprian, Georg Langs, Magda Sanz Cortes

Published in: European Radiology | Issue 6/2021

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Excerpt

We would like to use the opportunity to comment on the article by Kojita et al, which we have read with great interest [1]. In this study, the authors have chosen a fetal head-MRI–based deep learning approach to predict gestational age in the second, and especially third, trimester of pregnancy. By using first trimester ultrasound—which is per se accurate within 3 to 5 days—as a standard of reference, their model reached an (added) upper limit of 1.66 weeks of accuracy, which is in the accuracy range of sonography-based age prediction in the second trimester (7–14 days) and clearly better than standard ultrasound-based predictions after 28 gestational weeks (> 21 gestational days) [2]. While the presented approach evidently offers benefits in dating pregnancies in the third trimester, some practical considerations need to be taken into account when evaluating its clinical applicability. …
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Metadata
Title
Fetal MRI-based artificial intelligence in gestational age prediction——a practical solution to an unsolved problem?
Authors
Gregor Kasprian
Georg Langs
Magda Sanz Cortes
Publication date
01-06-2021
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 6/2021
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-021-07972-0

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