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已发表论文
既往剖宫产合并完全性前置胎盘患者胎盘植入谱系疾病的预测
Authors Yang Z , Yang P , Yan J, Zhao X, Yue Y
Received 11 August 2025
Accepted for publication 13 January 2026
Published 20 January 2026 Volume 2026:18 555864
DOI https://doi.org/10.2147/IJWH.S555864
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 3
Editor who approved publication: Dr Everett Magann
Zhiyi Yang,1 Peiran Yang,1 Jun Yan,1 Xuepiao Zhao,2 Yongfei Yue1
1Department of Obstetrics and Gynecology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, People’s Republic of China; 2Department of Obstetrics and Gynecology, The Affiliated Suqian First People’s Hospital of Nanjing Medical University, Suqian, Jiangsu, People’s Republic of China
Correspondence: Yongfei Yue, Email yueyongfeiyyf@163.com
Purpose: To investigate the predictive value of cervical volume, placental volume, and cervical length for placental accreta (PAS) in patients with complete placenta previa and a history of cesarean section.
Patients and Methods: Three radiologists analyzed MRI images from 157 patients, using 3D Slicer to measure placental volume, cervical volume, and cervical length. The predictive efficacy of combining these three factors for PAS was assessed by plotting Receiver Operating Characteristic (ROC) curves. A scoring system was established, and its predictive accuracy relative to the combined model was evaluated by comparing the Area under Curve (AUC).
Results: Among 157 patients, 72 were diagnosed with PAS. Results showed that increased placental volume and decreased cervical volume and length were significantly associated with PAS occurrence (P < 0.001). The combined AUC for predicting PAS was 0.891, with sensitivity of 87.31%, specificity of 83.95%, positive predictive value (PPV) of 82.16%, and negative predictive value (NPV) of 88.65%. The scoring system demonstrated superior predictive performance, with AUC increasing to 0.902, sensitivity at 88.72%, specificity at 84.21%, positive predictive value (PPV) at 82.66%, and negative predictive value (NPV) at 89.82%.
Conclusion: Cervical volume, placental volume, and cervical length are effective indicators for predicting preterm labor. A scoring system developed based on these factors demonstrates higher accuracy.
Keywords: placenta previa, cesarean section, cervical volume, placental volume, cervical length, placenta accreta spectrum disorders
1Department of Obstetrics and Gynecology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, People’s Republic of China; 2Department of Obstetrics and Gynecology, The Affiliated Suqian First People’s Hospital of Nanjing Medical University, Suqian, Jiangsu, People’s Republic of China
Correspondence: Yongfei Yue, Email yueyongfeiyyf@163.com
Purpose: To investigate the predictive value of cervical volume, placental volume, and cervical length for placental accreta (PAS) in patients with complete placenta previa and a history of cesarean section.
Patients and Methods: Three radiologists analyzed MRI images from 157 patients, using 3D Slicer to measure placental volume, cervical volume, and cervical length. The predictive efficacy of combining these three factors for PAS was assessed by plotting Receiver Operating Characteristic (ROC) curves. A scoring system was established, and its predictive accuracy relative to the combined model was evaluated by comparing the Area under Curve (AUC).
Results: Among 157 patients, 72 were diagnosed with PAS. Results showed that increased placental volume and decreased cervical volume and length were significantly associated with PAS occurrence (P < 0.001). The combined AUC for predicting PAS was 0.891, with sensitivity of 87.31%, specificity of 83.95%, positive predictive value (PPV) of 82.16%, and negative predictive value (NPV) of 88.65%. The scoring system demonstrated superior predictive performance, with AUC increasing to 0.902, sensitivity at 88.72%, specificity at 84.21%, positive predictive value (PPV) at 82.66%, and negative predictive value (NPV) at 89.82%.
Conclusion: Cervical volume, placental volume, and cervical length are effective indicators for predicting preterm labor. A scoring system developed based on these factors demonstrates higher accuracy.
Keywords: placenta previa, cesarean section, cervical volume, placental volume, cervical length, placenta accreta spectrum disorders