Suppr超能文献

自动胎儿心肌性能指数的评估。

Evaluation of an automated fetal myocardial performance index.

作者信息

Welsh A W, Maheshwari P, Wang J, Henry A, Chang D, Crispi F, Gardiner H M, Hernandez-Andrade E, Meriki N, Redmond S, Yagel S

机构信息

Department of Maternal-Fetal Medicine, Royal Hospital for Women, Randwick, Sydney, New South Wales, Australia.

School of Women's & Children's Health, University of New South Wales, Sydney, New South Wales, Australia.

出版信息

Ultrasound Obstet Gynecol. 2016 Oct;48(4):496-503. doi: 10.1002/uog.15770. Epub 2016 Sep 13.

Abstract

OBJECTIVE

To compare automated measurements of the fetal left myocardial performance index (MPI) with manual measurements for absolute value, repeatability and waveform acceptability.

METHODS

This was a multicenter international online study using images from uncomplicated, morphologically normal singleton pregnancies (16-38 weeks' gestation). Single Doppler ultrasound cardiac cycle images of 25 cases were selected, triplicated and randomized (n = 75). Six senior observers, unaware of the repetition of images, manually calculated MPI for each waveform and the results were compared with automation. Intraobserver repeatability and interobserver reproducibility were assessed using intraclass correlation coefficients (ICCs) and 95% CI. The agreement between each observer's manual MPI measurements and corresponding automated measurements was evaluated using Bland-Altman plots and ICCs with 95% CI. The degree of variation between experts in the classification of fetal MPI waveform quality was assessed using individual cardiac cycle left MPI images previously classified by two authors as 'optimal', 'suboptimal' or 'unacceptable', with 30 images selected for each quality group. Ten images in each category were duplicated and the resulting 120 images were randomized and then classified online by five observers. The kappa statistic (κ) was used to demonstrate interobserver and intraobserver agreement and agreement of classifications by the five observers.

RESULTS

The automated measurement software returned the same value for any given image, resulting in an ICC of 1.00. Manual measurements had intraobserver repeatability ICC values ranging from 0.69 to 0.97, and the interobserver reproducibility ICC was 0.78. Comparison of automated vs manual MPI absolute measurements for each observer gave ICCs ranging from 0.77 to 0.96. Interobserver image quality classification agreement gave k = 0.69 (P < 0.001), and the intraobserver agreement was variable (κ ranging from 0.40 to 0.81).

CONCLUSIONS

Automated fetal MPI provides superior repeatability and reproducibility to manual methodology. Additionally, experts vary significantly when classifying suitability of fetal MPI waveforms. Automated MPI may facilitate clinical translation by removing human subjectivity. Copyright © 2015 ISUOG. Published by John Wiley & Sons Ltd.

摘要

目的

比较胎儿左心室心肌性能指数(MPI)的自动测量值与手动测量值的绝对值、可重复性及波形可接受性。

方法

这是一项多中心国际在线研究,使用来自无并发症、形态正常的单胎妊娠(孕16 - 38周)的图像。选取25例单多普勒超声心动周期图像,进行三次重复并随机分组(n = 75)。6名资深观察者在不知图像重复的情况下,手动计算每个波形的MPI,并将结果与自动测量结果进行比较。采用组内相关系数(ICC)和95%置信区间评估观察者内重复性和观察者间再现性。使用Bland - Altman图和95%置信区间的ICC评估每位观察者的手动MPI测量值与相应自动测量值之间的一致性。使用先前由两位作者分类为“最佳”“次优”或“不可接受”的单个心动周期左心室MPI图像,评估专家在胎儿MPI波形质量分类中的变异程度,为每个质量组选择30幅图像。对每个类别中的10幅图像进行复制,将得到的120幅图像随机分组,然后由5名观察者进行在线分类。kappa统计量(κ)用于证明观察者间和观察者内的一致性以及5名观察者分类的一致性。

结果

自动测量软件对任何给定图像返回相同的值,ICC为1.00。手动测量的观察者内重复性ICC值范围为0.69至0.97,观察者间再现性ICC为0.78。对每位观察者的自动与手动MPI绝对测量值进行比较,ICC范围为0.77至0.96。观察者间图像质量分类一致性的κ = 0.69(P < 0.001),观察者内一致性存在差异(κ范围为0.40至0.81)。

结论

胎儿MPI自动测量在可重复性和再现性方面优于手动测量方法。此外,专家在对胎儿MPI波形的适用性进行分类时差异显著。自动MPI通过消除人为主观性可能有助于临床转化。版权所有© 2015国际妇产科超声学会。由约翰·威利父子有限公司出版。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验