Cervical strain elastography improves mid-trimester prediction of spontaneous preterm birth beyond cervical length: a single-center cohort study - Scorecard - MDSpire

Cervical strain elastography improves mid-trimester prediction of spontaneous preterm birth beyond cervical length: a single-center cohort study

  • By

  • Dongmei Zhang

  • Li Hou

  • Chunrong Li

  • Shiyue Peng

  • Liuying Zhou

  • Tongyong Luo

  • June 17, 2026

  • 0 min

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Clinical Scorecard: Enhancing Mid-Trimester Prediction of Spontaneous Preterm Birth Through Cervical Strain Elastography Beyond Cervical Length: Findings from a Single-Center Cohort Investigation

At a Glance

CategoryDetail
ConditionSpontaneous Preterm Birth (sPTB)
Key MechanismsCervical strain elastography parameters (hardness ratio, internal os strain, external os strain, IOS/EOS ratio) combined with cervical length.
Target PopulationSingleton pregnancies at 18 + 0 to 23 + 6 weeks of gestation.
Care SettingSingle-center cohort study in obstetrics.

Key Highlights

  • sPTB occurred in 13.5% of participants (37 of 275 women).
  • IOS showed the best discrimination for sPTB with an AUC of 0.797.
  • Combining CL with IOS/EOS achieved an AUC of 0.828.
  • The combined model demonstrated a sensitivity of 73% and specificity of 82%.
  • Decision curve analysis indicated superior net benefit for the combined model.

Guideline-Based Recommendations

Diagnosis

  • Use cervical length (CL) and cervical strain elastography parameters for predicting sPTB.

Management

  • Consider combined models of CL and elastography for improved risk stratification.

Monitoring & Follow-up

  • Monitor cervical strain elastography metrics alongside CL in mid-trimester assessments.

Risks

  • sPTB remains a leading cause of neonatal morbidity and mortality.

Patient & Prescribing Data

Asymptomatic women with singleton pregnancies.

Cervical strain elastography may enhance prediction of sPTB beyond traditional methods.

Clinical Best Practices

  • Incorporate cervical strain elastography in routine mid-trimester assessments.
  • Utilize combined models for better predictive accuracy in sPTB risk.

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