ArticleLa Radiologia medica2021
Prediction of placenta accreta spectrum in patients with placenta previa using clinical risk factors, ultrasound and magnetic resonance imaging findings.
Article in La Radiologia medica, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06219564 (Diagnostic Accuracy of MRI to Predict Peripartum Hysterectomy and Neonatal Mortality in Total Placenta Previa), which is not on this map. Cited by 18 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Diagnostic Accuracy of MRI to Predict Peripartum Hysterectomy and Neonatal Mortality in Total Placenta Previa: A Retrospective Cohort Study.
Who cites it
18 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Development and validation of MRI-based scoring models for predicting placental invasiveness in high-risk women for placenta accreta spectrum.European radiology · 2024Pooled it
- Diagnostic accuracy of ultrasound in the diagnosis of Placenta accreta spectrum: systematic review and meta-analysis.BMC pregnancy and childbirth · 2023Pooled it
- Placenta Accreta Spectrum: A Narrative Review of Clinical Management, Contemporary Innovations, And Global Challenges.International journal of medical science and dental health · 2026Article
- The diagnostic value of multiple schemes of MRI standard features combined with risk factors and ultrasound for Placenta accreta spectrum.BMC pregnancy and childbirth · 2026Article
- Diagnostic Accuracy of Magnetic Resonance Imaging in the Diagnosis of Placenta Accreta Spectrum: A Systematic Review and Meta-analysis.Maternal-fetal medicine (Wolters Kluwer Health, Inc.) · 2025Article
- A novel approach for the early prediction and prevention of placenta accreta spectrum and severe peripartum hemorrhage in patients with complete placenta previa: leveraging three-dimensional placental topography, cervical length, and dilatation parameters on magnetic resonance imaging.BMC pregnancy and childbirth · 2024Article
- Additional Role of Magnetic Resonance Imaging to Ultrasound in Assessing Placenta Accreta Spectrum Disorders: A Retrospective Cross-sectional Study from Vietnam.Oman medical journal · 2024Article
- Article
- The Underlying Molecular Mechanisms of the Placenta Accreta Spectrum: A Narrative Review.International journal of molecular sciences · 2024Review
- Placental T2WI MRI-based radiomics-clinical nomogram predicts suspicious placenta accreta spectrum in patients with placenta previa.BMC medical imaging · 2024Article
- Magnetic resonance imaging improves diagnosis of placenta accreta spectrum requiring hysterectomy compared to ultrasound.American journal of obstetrics & gynecology MFM · 2024Article
- Review
- Update on the Applications of Radiomics in Diagnosis, Staging, and Recurrence of Intrahepatic Cholangiocarcinoma.Diagnostics (Basel, Switzerland) · 2023Review
- Comparisons of the diagnostic accuracy of the ultrasonic sign-score method and MRI for PA, PI and PP in high-risk gravid women: a retrospective study.Annals of translational medicine · 2023Article
- Placental and Umbilical Cord Anomalies Diagnosed by Two- and Three-Dimensional Ultrasound.Diagnostics (Basel, Switzerland) · 2022Review
- Assessment of postpartum haemorrhage for placenta accreta: Is measurement of myometrium thickness and dark intraplacental bands using MRI helpful?BMC medical imaging · 2022Article
- Percreta score to differentiate between placenta accreta and placenta percreta with ultrasound and MR imaging.Acta obstetricia et gynecologica Scandinavica · 2022Article
- Predicting Placenta Accreta Spectrum Disorders in a Cohort of Pregnant Patients in the North-East Region of Romania-Diagnostic Accuracy of Ultrasound and Magnetic Resonance Imaging.Diagnostics (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo predict placental accreta spectrum (PAS) in patients with placenta previa (PP) evaluating clinical risk factors (CRF), ultrasound (US) and magnetic resonance imaging (MRI) findings.
methodsSeventy patients with PP were retrospectively selected. CRF were retrieved from medical records. US and MRI images were evaluated to detect imaging signs suggestive of PAS. Univariable analysis was performed to identify CRF, US and MRI signs associated with PAS considering histology as standard of reference. Receiver operating characteristic curve (ROC) analysis was performed, and the area under the curve (AUC) was calculated. Multivariable analysis was also performed.
resultsAt univariable analysis, the number of previous cesarean section, smoking, loss of the retroplacental clear space, myometrial thinning < 1 mm, placental lacunae, intraplacental dark bands (IDB), focal interruption of myometrial border (FIMB) and abnormal vascularity were statistically significant. The AUC in predicting PAS progressively increased using CRF, US and MRI signs (0.69, 0.79 and 0.94, respectively; p < 0.05); the accuracy of MRI alone was similar to that obtained combining CRF, US and MRI variables (AUC = 0.97) and was significantly higher (p < 0.05) than that combining CRF and US (AUC = 0.83). Multivariable analysis showed that only IDB (p = 0.012) and FIMB (p = 0.029) were independently associated with PAS.
conclusionsMRI is the best modality to predict PAS in patients with PP independently from CRF and/or US finding. It is reasonable to propose the combined assessment of CRF and US as the first diagnostic level to predict PAS, sparing MRI for selected cases in which US findings are uncertain for PAS.
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Registered trials
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.