Evidence map›Paper›PMID 42708032›Full record

ArticleInternational journal of women's health2026

A Predictive Imaging Model for Cervical PAS in Complete Placenta Previa Using Combined Ultrasound and MRI.

Zhiyi Yang, Peiran Yang, Jun Yan, Yongfei Yue

Abstract read
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Article in International journal of women's health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Zhiyi YangDepartment of Obstetrics and Gynecology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, Jiangsu, 215002, People's Republic of China.ORCID 0009-0005-0834-7505
Peiran YangDepartment of Obstetrics and Gynecology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, Jiangsu, 215002, People's Republic of China.ORCID 0009-0009-4424-3921
Jun YanDepartment of Obstetrics and Gynecology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, Jiangsu, 215002, People's Republic of China.
Yongfei YueDepartment of Obstetrics and Gynecology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, Jiangsu, 215002, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To develop and validate a combined ultrasound-MRI predictive imaging model for diagnosing cervical placenta accreta spectrum (PAS) in women with complete placenta previa. Study Design: This retrospective study included a total of 350 patients with complete placenta previa who underwent comprehensive prenatal ultrasound and MRI examinations; independent imaging predictors were identified using multivariate logistic regression; Two internal validation methods were employed: a 7:3 cohort split and 1000 bootstrap resamples. The model's diagnostic performance was comprehensively evaluated using a combination of ROC curves, calibration curves, and decision curve analysis (DCA). Results: Five independent risk factors were identified: abundant cervical blood flow, cervical sinus, lacunae over the cervix, cervical length <3.0 cm, and placental heterogeneity. The combined model yielded an AUC of 0.892, sensitivity of 87.603%, and specificity of 81.489%. The AUC on the internal validation set reached 0.889; the model demonstrated good discriminatory power and calibration, and showed considerable clinical net benefit across a wide range of risk thresholds. Patients with cervical PAS had significantly higher rates of adverse maternal-fetal outcomes. Conclusion: A predictive model combining five key ultrasound and MRI features shows high diagnostic performance for cervical PAS in complete placenta previa, supporting preoperative risk stratification and surgical planning. This study is a single-center retrospective analysis; it is subject to selection bias and does not include a multicenter external cohort to support its generalizability. Further validation of the model's clinical utility requires large-sample, multicenter prospective cohort studies.

Indexed as

cervixcomplete placenta previamagnetic resonance imagingplacenta accretaultrasound

Identifiers

PMID42708032
PMCPMC13549174

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.