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人工智能辅助胎儿头围测量:自动化测量软件评估。

Artificial intelligence assistance for fetal head biometry: Assessment of automated measurement software.

机构信息

Inserm, IADI, université de Lorraine, 54500 Vandœuvre-lès-Nancy, France.

Inserm, CIC, université de Lorraine, CHRU de Nancy, 54000 Nancy, France.

出版信息

Diagn Interv Imaging. 2018 Nov;99(11):709-716. doi: 10.1016/j.diii.2018.08.001. Epub 2018 Sep 1.

DOI:10.1016/j.diii.2018.08.001
PMID:30177447
Abstract

PURPOSE

To evaluate the feasibility and reproducibility of artificial intelligence software (Smartplanes) to automatically identify the transthalamic plane from 3D ultrasound volumes and to measure the biparietal diameter (BPD) and head circumference (HC) in fetus.

MATERIAL AND METHODS

Thirty fetuses were evaluated at 17-30 weeks' gestation. For each fetus two three-dimensional (3D) volumes of the fetal head along with one conventional two-dimensional (2D) image of the transthalamic plane were prospectively acquired. The Smartplanes software identified the transthalamic plane from the 3D volumes and performed BPD and HC measurements automatically (3D auto). Two experienced sonographers also measured BPD and HC from 2D images and from the 3D volumes. Measurements were compared using Bland-Altman plots. Interclass correlation coefficient (ICC) was used to evaluate intra- and interobserver reproducibility.

RESULTS

For each series of measurements, intra- and interobserver reproducibility rates were high with ICC values>0.98. The 95% confidence intervals between the BPD measurements were 2mm (3D versus 2D) and 4mm (3D auto versus 2D) and the HC measurements were 7.5mm (3D versus 2D) and 11mm (3D auto versus 2D).

CONCLUSION

Fetal head measurements obtained automatically by Smartplanes software from 3D volumes show good agreement with those obtained by two experienced sonographers from conventional 2D images and 3D volumes. The reproducibility of these measurements is similar to that observed by experienced sonographers.

摘要

目的

评估人工智能软件(Smartplanes)自动识别三维超声容积中转腔平面并测量胎儿双顶径(BPD)和头围(HC)的可行性和可重复性。

材料和方法

对 30 例 17-30 孕周胎儿进行前瞻性评估。对每个胎儿,获取两个胎儿头部的三维(3D)容积和一个常规的二维(2D)转腔平面图像。Smartplanes 软件从 3D 容积中自动识别转腔平面,并自动进行 BPD 和 HC 测量(3D 自动)。两名有经验的超声医师也从 2D 图像和 3D 容积中测量 BPD 和 HC。使用 Bland-Altman 图比较测量值。使用组内相关系数(ICC)评估观察者内和观察者间的可重复性。

结果

对于每一系列测量,观察者内和观察者间的可重复性均很高,ICC 值>0.98。BPD 测量的 95%置信区间为 2mm(3D 与 2D)和 4mm(3D 自动与 2D),HC 测量的 95%置信区间为 7.5mm(3D 与 2D)和 11mm(3D 自动与 2D)。

结论

Smartplanes 软件从 3D 容积中自动获取的胎儿头部测量值与两名有经验的超声医师从常规 2D 图像和 3D 容积中获取的测量值具有良好的一致性。这些测量的可重复性与有经验的超声医师观察到的相似。

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