Premium
Application of ultrasound‐based radiomics technology in fetal‐lung‐texture analysis in pregnancies complicated by gestational diabetes and/or pre‐eclampsia
Author(s) -
Du Y.,
Fang Z.,
Jiao J.,
Xi G.,
Zhu C.,
Ren Y.,
Guo Y.,
Wang Y.
Publication year - 2021
Publication title -
ultrasound in obstetrics and gynecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.202
H-Index - 141
eISSN - 1469-0705
pISSN - 0960-7692
DOI - 10.1002/uog.22037
Subject(s) - medicine , gestational age , gestational diabetes , obstetrics , ultrasound , gestation , fetus , eclampsia , obstetrics and gynaecology , gestational sac , pregnancy , radiomics , gynecology , radiology , genetics , biology
Objectives To analyze and compare, using ultrasound‐based radiomics technology, fetal‐lung texture in pregnancies affected by gestational diabetes mellitus (GDM) and/or pre‐eclampsia (PE) and in normal pregnancies, overall and at different gestational ages. Methods In this retrospective study, 430 high‐throughput features per fetal‐lung image were extracted from 548 fetal‐lung ultrasound images (obtained at the level of the four‐chamber view of the heart) in 548 pregnant women who delivered between July 2018 and August 2019 at the Obstetrics and Gynecology Hospital of Fudan University. Images had been obtained during ultrasound examinations between 28 and 41 weeks of gestation. The data were divided randomly into training set (80% of fetal‐lung images) and independent test set (20% of images), and 20% of the images in the training set were then selected as the validation set. A standard machine‐learning model based on ultrasound‐based radiomics technology was created using features of fetal‐lung texture extracted from the images, and a regression model was used to evaluate the relationship between lung‐texture features, GDM and/or PE and gestational age. Results Of the 548 pregnancies included, 108 were affected by GDM alone, 71 by PE alone and 25 by both GDM and PE, and 344 were normal. The overall performance of the GDM and PE prediction model was superior to that of the gestational‐age prediction model, with an area under the receiver‐operating‐characteristics curve of 0.95–0.99, sensitivity of 78.8–97.1% in the validation set and 74.5–91.3% in the independent test set, specificity of 79.8–94.3% in the validation set and 75.7–88.4% in the independent test set and accuracy of 81.0–95.3% in the validation set and 80.6–86.4% in the independent test set. Conclusions Using ultrasound‐based radiomics technology, fetal lungs from pregnancies grouped according to whether they were affected by GDM and/or PE could be distinguished from each other and from fetal lungs of normal pregnancies, and lungs from pregnancies at different gestational ages could be distinguished. These findings support further research to explore the use of this non‐invasive technology to predict neonatal respiratory complications in women with PE, GDM or their combination. © 2020 International Society of Ultrasound in Obstetrics and Gynecology.