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Prediction of preterm birth by measuring the width of cervical internal os and length of cervical canal using ultrasonography

Yi Cao(1), Wei Tan(2), Jiqing Xuan(3), Tingting Ni(4), Jiqing Xuan(5),


(1) Department of Ultrasound, The Affiliated Hospital of Southwest Medical University, 646000, Luzhou, China: Department of Ultrasound, The Sixth People's Hospital of Deyang, 618000, Deyang, China
(2) Department of Ultrasound, The Second People's Hospital of Deyang, 618000, Deyang, China
(3) Department of Ultrasound, The Affiliated Hospital of Southwest Medical University, 646000, Luzhou, China
(4) Department of Ultrasound, The Sixth People's Hospital of Deyang, 618000, Deyang, China
(5) Department of Ultrasound, The Affiliated Hospital of Southwest Medical University, 646000, Luzhou, China
Corresponding Author

Abstract


This study mainly explored the application of predicting preterm birth by measuring the width of cervical internal os and length of cervical canal using ultrasonography. One hundred pregnant women admitted to our hospital from January 2022 to January 2023 were selected and separated into non-preterm group and preterm group. Compared with non-preterm group, preterm group had wider width of cervical internal os, shorter length of the cervical canal and higher Bishop score. The incidence of preterm birth in pregnant women with the width of cervical internal os ≥5 mm was significantly higher than that in <5 mm group. The incidence of preterm delivery in pregnant women with the length of cervical canal <10 mm was significantly higher than that in 10-20 mm group, the incidence of preterm delivery in pregnant women with the length of cervical canal between 10-20 mm was significantly higher than that between 21-30 mm group, and the incidence of preterm delivery in pregnant women with the length of cervical canal between 21-30 mm was significantly higher than that >30 mm group. Collectively, perineal ultrasound measurement of the length of the cervical canal in the second trimester of pregnancy has good application value in predicting premature birth.

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