Review of MRI imaging for placenta accreta spectrum: pathophysiologic insights, imaging signs, and recent developments

H Kapoor, M Hanaoka, A Dawkins, A Khurana - Placenta, 2021 - Elsevier
Abstract Placenta Accreta Spectrum (PAS) refers to the range of abnormally adhesive and
penetrative placental tissue at a uterine scar. PAS is divided into accreta, increta, and …

The prenatal diagnostic indicators of placenta accreta spectrum disorders

X Wu, H Yang, X Yu, J Zeng, J Qiao, H Qi, H Xu - Heliyon, 2023 - cell.com
Placenta accreta spectrum (PAS) disorders refers to a heterogeneous group of anomalies
distinguished by abnormal adhesion or invasion of chorionic villi through the myometrium …

Uterus-preserving surgical management of placenta accreta spectrum disorder: a large retrospective study

W Pan, J Chen, Y Zou, K Yang, Q Liu, M Sun… - BMC Pregnancy and …, 2023 - Springer
Background The two-child policy implemented in China resulted in a surge of high-risk
pregnancies among advanced maternal aged women and presented a window of …

Identification of suspicious invasive placentation based on clinical MRI data using textural features and automated machine learning

H Sun, H Qu, L Chen, W Wang, Y Liao, L Zou, Z Zhou… - European …, 2019 - Springer
Objective The aim of this study was to investigate whether intraplacental texture features
from routine placental MRI can objectively and accurately predict invasive placentation …

Prediction of placenta accreta spectrum in patients with placenta previa using clinical risk factors, ultrasound and magnetic resonance imaging findings

V Romeo, F Verde, L Sarno, S Migliorini, M Petretta… - La radiologia …, 2021 - Springer
Objectives To predict placental accreta spectrum (PAS) in patients with placenta previa (PP)
evaluating clinical risk factors (CRF), ultrasound (US) and magnetic resonance imaging …

Diagnosing uterine cervical cancer on a single T2-weighted image: Comparison between deep learning versus radiologists

A Urushibara, T Saida, K Mori, T Ishiguro… - European Journal of …, 2021 - Elsevier
Purpose To compare deep learning with radiologists when diagnosing uterine cervical
cancer on a single T2-weighted image. Methods This study included 418 patients (age …

Prediction of placenta accreta spectrum by combining deep learning and radiomics using T2WI: a multicenter study

Z Ye, R Xuan, M Ouyang, Y Wang, J Xu, W Jin - Abdominal Radiology, 2022 - Springer
Purpose To achieve prenatal prediction of placenta accreta spectrum (PAS) by combining
clinical model, radiomics model, and deep learning model using T2-weighted images …

Prediction of placenta accreta spectrum using texture analysis on coronal and sagittal T2-weighted imaging

H Ren, N Mori, S Mugikura, H Shimizu… - Abdominal …, 2021 - Springer
Purpose To separately perform visual and texture analyses of the axial, coronal, and sagittal
planes of T2-weighted images and identify the optimal method for differentiating between …

[HTML][HTML] Prediction of placenta accreta spectrum in patients with placenta previa using a clinical, US and MRI combined model: a retrospective study with external …

S Maurea, F Verde, V Romeo, A Stanzione… - European journal of …, 2023 - Elsevier
Purpose To build and validate a predictive model of placental accreta spectrum (PAS) in
patients with placenta previa (PP) combining clinical risk factors (CRF) with US and MRI …

Development and validation of MRI-based scoring models for predicting placental invasiveness in high-risk women for placenta accreta spectrum

Q Liu, W Zhou, Z Yan, D Li, T Lou, Y Yuan, P Rong… - European …, 2024 - Springer
Objectives To develop and validate MRI-based scoring models for predicting placenta
accreta spectrum (PAS) invasiveness. Materials and methods This retrospective study …