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Predictive performance of cervical elastography for preterm birth: A head-to-head network meta-analysis
Hui-Ping Zhang1, Na Li2, Fan Li3
1Department of Ultrasound in Obstetrics and Gynecology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200336, China.
World Journal of Radiology
|June 4, 2026
Summary
Elastic imaging of the cervix (E-cervix) elastography offers superior prediction of preterm birth (PTB) compared to traditional cervical length (CL) measurements. Combining biomechanical and morphological data in multi-parametric models provides the most accurate risk stratification for PTB.
Area of Science:
- Obstetrics and Gynecology
- Medical Imaging
- Biomedical Engineering
Background:
- Early detection of cervical remodeling is crucial for predicting preterm birth (PTB).
- Conventional morphologic indices like cervical length (CL) and anterior cervical angle (ACA) have limited diagnostic accuracy.
- Elastic imaging of the cervix (E-cervix) elastography quantifies cervical strain and stiffness, offering biomechanical insights.
Purpose of the Study:
- To systematically compare the diagnostic performance of E-cervix parameters, CL, and ACA for PTB prediction.
- To identify the most effective ultrasound-based markers for mid-trimester risk stratification.
- To improve timely clinical interventions and perinatal outcomes.
Main Methods:
- A comprehensive literature search was conducted across multiple databases up to December 1, 2025.
- Studies reporting diagnostic accuracy of E-cervix parameters, CL, or ACA for PTB were included.
- A Bayesian network meta-analysis was performed to estimate pooled diagnostic performance metrics, including sensitivity, specificity, and diagnostic odds ratios (DOR).
Main Results:
- Fifteen studies involving 1965 pregnancies were analyzed.
- The multi-parametric combined model showed the highest diagnostic performance (AUC: 0.91, sensitivity: 0.83, specificity: 0.83).
- ACA (DOR: 13.65) and E-cervix hardness ratio (DOR: 7.71) outperformed conventional CL (DOR: 3.58).
Conclusions:
- E-cervix elastography demonstrates superior diagnostic value over conventional CL measurements for PTB prediction.
- Integrating biomechanical and morphological data through multi-parametric models offers precise PTB risk stratification.
- This approach can enhance clinical decision-making for improved perinatal outcomes.
