Literature DB >> 26324757

Sonographic Parameters for Prediction of Miscarriage: Role of 3-Dimensional Volume Measurement.

Jeong Ha Wie1, Suyearn Choe1, Sa Jin Kim1, Jong Chul Shin1, Ji Young Kwon2, In Yang Park2.   

Abstract

OBJECTIVES: To evaluate the value of volume measurement using 3-dimensional sonography for prediction of miscarriage.
METHODS: We prospectively enrolled 188 singleton pregnant women at 5 to 9 weeks' gestation. The 3-dimensional sonographic gestational sac volume and yolk sac volume were measured together with the fetal heart rate, gestational sac diameter, and yolk sac diameter. For each sonographic parameter, nomograms were created; z scores were calculated for each measurement, and the values were compared between miscarriage and ongoing pregnancy groups. Sonographic parameters for prediction of miscarriage were evaluated by multivariate analysis, and the screening performance was assessed by a receiver operating characteristic curve.
RESULTS: Among the 188 pregnancies, 30 (16.0%) had miscarriage. Multivariate analysis showed that fetal heart rate below the 5th percentile (odds ratio, 6.43), gestational sac diameter below the 5th percentile (odds ratio, 4.87), gestational sac volume below the 5th percentile (odds ratio, 5.25), and yolk sac diameter below the 2.5th or above the 97.5th percentile (odds ratio, 15.86) were significant predictors of miscarriage (P = .018; P = .018; P = .033; and P < .001, respectively). At a false-positive rate of 30%, the detection rate for miscarriage in screening by a combination of fetal heart rate, gestational sac diameter, gestational sac volume, and yolk sac diameter was 77.8%.
CONCLUSIONS: A small-for-gestational-age gestational sac volume is a significant sonographic predictor of miscarriage, as are fetal bradycardia, a small gestational sac diameter, and a small or large yolk sac diameter.
© 2015 by the American Institute of Ultrasound in Medicine.

Entities:  

Keywords:  3-dimensional volume; gestational sac volume; miscarriage; obstetric ultrasound; predictor; sonography

Mesh:

Year:  2015        PMID: 26324757     DOI: 10.7863/ultra.15.14.09012

Source DB:  PubMed          Journal:  J Ultrasound Med        ISSN: 0278-4297            Impact factor:   2.153


  3 in total

1.  Prediction of pregnancy loss by early first trimester ultrasound characteristics.

Authors:  Elizabeth A DeVilbiss; Sunni L Mumford; Lindsey A Sjaarda; Matthew T Connell; Torie C Plowden; Victoria C Andriessen; Neil J Perkins; Micah J Hill; Robert M Silver; Enrique F Schisterman
Journal:  Am J Obstet Gynecol       Date:  2020-02-25       Impact factor: 8.661

2.  Can Ultrasound Analysis of the Yolk Sac be a Predictor of Pregnancy Outcome?

Authors:  Mihaela Marin; Ciprian Laurențiu Pătru; Maria Magdalena Manolea; Liliana Novac; Anda Lorena Dijmărescu; Mihail Virgil Boldeanu; Mircea-Sebastian Şerbănescu; Lidia Boldeanu; Dominic Gabriel Iliescu
Journal:  Curr Health Sci J       Date:  2021-12-31

3.  Automated prediction of early spontaneous miscarriage based on the analyzing ultrasonographic gestational sac imaging by the convolutional neural network: a case-control and cohort study.

Authors:  Yu Wang; Qixin Zhang; Chenghuan Yin; Lizhu Chen; Zeyu Yang; Shanshan Jia; Xue Sun; Yuzuo Bai; Fangfang Han; Zhengwei Yuan
Journal:  BMC Pregnancy Childbirth       Date:  2022-08-05       Impact factor: 3.105

  3 in total

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