1. Utero-cervical angle to predict the risk of spontaneous preterm birth: a review of literature.
- Author
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Giorno A, Mari S, Rispoli EM, Cipullo LM, Manzo L, Saccone G, Raffone A, and Mollo A
- Subjects
- Humans, Pregnancy, Female, Cervical Length Measurement methods, Risk Factors, Predictive Value of Tests, Uterus diagnostic imaging, Uterus anatomy & histology, Ultrasonography, Prenatal, Premature Birth, Cervix Uteri diagnostic imaging, Cervix Uteri pathology, Cervix Uteri anatomy & histology, Pregnancy Trimester, Second
- Abstract
Background: The aim of this paper was to evaluate the predictive role of the uterocervical angle (UCA) in spontaneous preterm birth (sPTB)., Methods: A systematic review of the literature was performed including all studies reporting the association between UCA and sPTB. Searches were performed with the use of a combination of keywords: "cervical length," "uterocervical angle," and "preterm birth" from inception of each database to March 2022. The statistical evaluations were carried out using the Comprehensive Meta-Analysis version 3 (Biostat Inc. USA)., Results: Sixteen studies all conducted on the second trimester UCA as well as its association with sPTB were included in this study. In all studies the measurements of cervical length (CL) and UCA were performer in the second trimester, except in one that in the third trimester. In most studies the CL is greater than 30 mm and the UCA is greater than 110 °. In seven studies women with symptoms were considered while in 8 studies the women were asymptomatic., Conclusions: It is too early for it to reach a firm conclusion on UCA utilization in clinical settings. A higher UCA measurement (greater than 150°) is an important risk factor for deliveries before 37 weeks' gestation. It provides a higher diagnostic performance in high risk patients than the CL measurement. However, the most relevant ultrasound parameter for the prediction of delivery within the next few data in women with preterm delivery remains the cervical length. There is a need to consider both markers and create protocols so that the values obtained with UCA and those with CL can make a real contribution to decisions to be made rather than using only CL.
- Published
- 2024
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