Literature DB >> 24199673

Myometrial elasticity determined by elastosonography to predict preterm labor.

Enis Ozkaya1, Alptekin Tosun, Vakkas Korkmaz, Emine Kucuk, Demet Sengul, Tuncay Kucukozkan.   

Abstract

AIM: To determine the utility of elastosonography (ES) combined to cervical length measurement to predict preterm labor.
METHODS: One hundred twenty-seven women with pregnancies between 21 to 36 weeks of gestation without any risk factor for preterm labor were included in the study. All subjects underwent sonographic evaluation including fetal biometry, cervical length measurement and ES of uterine myometrium. Subcutaneous tissue was the reference point for ES evaluation. Tissue strain ratio values were obtained from all patients.
RESULTS: Cervical length was a significant predictor for preterm delivery (AUC = 0.958, p < 0.001). Optimal cut-off value was obtained at 30 mm with 92% sensitivity and 81% specificity. Elastosonographic strain ratio was also a significant predictor for preterm delivery (AUC = 0.827, p < 0.001). Optimal cut-off value was obtained at 4.7 with 79% sensitivity and 91% specificity. In linear regression analysis, strain ratio (R(2 )= 0.61, beta = 0.171, p = 0.03) and cervical length (R(2 )= 0.61, beta = -0.516, p < 0.001) were significantly associated with preterm delivery. Cervical length < 30 mm [39.1 (95 CI, 6.6-231.5, p < 0.001)] and strain ratio > 4.7 [24.5 (95 CI, 4.1-146.5, p < 0.001)] were the risk factors for preterm delivery.
CONCLUSION: Elastosonographic evaluation of uterine myometrium was found to be significantly correlated with cervical length but cervical length measurement is a better predictor for preterm labor than ES.

Entities:  

Keywords:  Cervical length; elastosonography; preterm labor

Mesh:

Year:  2013        PMID: 24199673     DOI: 10.3109/14767058.2013.863864

Source DB:  PubMed          Journal:  J Matern Fetal Neonatal Med        ISSN: 1476-4954


  1 in total

1.  New model for predicting preterm delivery during the second trimester of pregnancy.

Authors:  Ya-Zhi Zhu; Guo-Qin Peng; Gui-Xiang Tian; Xue-Ling Qu; Shui-Yuan Xiao
Journal:  Sci Rep       Date:  2017-09-12       Impact factor: 4.379

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.