Evidence map›Paper›PMID 42157046›Full record

ArticleBMC pregnancy and childbirth2026

The diagnostic value of multiple schemes of MRI standard features combined with risk factors and ultrasound for Placenta accreta spectrum.

Yanmin Shi, Huiru Chu, Haoran Wang, Hongyang Han, Runhua Li, Qingqing Pan, Yalong Chen, Haoxin Shan, Yafen Wang, Li Liu and 1 more

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 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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2 · The registry

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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

11 authors.

Yanmin ShiDepartment of Radiology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan, 450007, China.
Huiru ChuDepartment of Radiology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan, 450007, China.
Haoran WangDepartment of Radiology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan, 450007, China.
Hongyang HanDepartment of Radiology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan, 450007, China.
Runhua LiDepartment of Radiology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan, 450007, China.
Qingqing PanDepartment of Radiology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan, 450007, China.
Yalong ChenDepartment of Radiology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan, 450007, China.
Haoxin ShanDepartment of Radiology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan, 450007, China.
Yafen WangDepartment of Gynecology and Obstetrics, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, 450007, China.
Li LiuDepartment of Histology and Embryology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan, 450001, China. liulixh@zzu.edu.cn.
Xinguang XiaoDepartment of Radiology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan, 450007, China. xiaoxinguang126@126.com.

Funding

Henan Province Key Research and Development projects of colleges and universities No. 23B320005Henan Province Science and Technology Research Project No. 242102310071
6 · The paper itself

Abstract

objectiveThis study aims to identify the most diagnostically valuable features among the 11 MRI features of Placenta accreta spectrum (PAS) described in the joint consensus statement by the Society of Abdominal Radiology (SAR) and the European Society of Urogenital Radiology (ESUR), and to evaluate the diagnostic efficacy of MRI, risk factors, and ultrasound (US) used alone or in combination for prenatal PAS diagnosis.

methodsThis retrospective study included 199 pregnant women who delivered at Zhengzhou Central Hospital from November 2018 to December 2022. Standardized evaluations of Risk Factors, US, and MRI features were conducted, and subjects were divided into PAS (89 cases) and non-PAS groups (110 cases). Chi-square tests, logistic regression, and the Bootstrap method were used to identify MRI features with intergroup differences. Diagnostic scheme efficacy was compared using the area under the curve (AUC), and improvements were assessed using the net reclassification improvement index (NRI) and integrated discrimination improvement index (IDI). The final diagnosis of PAS was based on surgical and/or pathological findings according to the International Federation of Gynecology and Obstetrics (FIGO) criteria.

resultsThree Risk Factors (caesarean delivery (CD) history, placenta previa, advanced maternal age) and three MRI features (T2-dark intraplacental bands, Loss of retroplacental T2-hypointense line, and Asymmetric shape/thickening of the placenta) showed statistical differences. The AUC for Risk Factors, US, and MRI alone was > 0.8. Combined schemes (MRI + US and MRI + US + Risk Factors) had higher efficacy, with MRI + US + Risk Factors demonstrating the highest efficacy.

conclusionThis study identifies three key standardized MRI features and three key risk factors to simplify clinical application. For high-risk pregnant women, a multimodal approach combining risk assessment, ultrasound, and standardized MRI features produced the highest diagnostic performance, but prospective external validation is required before broader clinical implementation.

Indexed as

Magnetic Resonance ImagingPlacenta AccretaUltrasonography, PrenatalAdultAdvanced Maternal AgeCesarean SectionFemaleHumansPregnancyRetrospective StudiesRisk FactorsDiagnosisMRIPlacenta accreta spectrumRisk factorsUltrasound

Identifiers

PMID42157046
PMCPMC13353014

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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.