Quantitative diffusion MRI biomarkers predict adverse maternal outcomes in placenta accreta spectrum disorders
Year: 2025
Type: article
Study design: Observational Study
Abstract: Introduction: This study aimed to investigate the potential of diffusion-weighted imaging (DWI) parameters in predicting adverse maternal outcomes in high-risk patients with placenta accreta spectrum (PAS) disorders. Methods: We conducted a prospective analysis of 109 patients with PAS, including 15 who experienced adverse maternal outcomes and 94 who did not. All patients underwent DWI, including intravoxel incoherent motion (IVIM) and diffusion kurtosis imaging (DKI). The measured parameters included the apparent diffusion coefficient (ADC), pure diffusion coefficient (D), pseudo-diffusion coefficient (D*), perfusion fraction (f), mean kurtosis (MK), and mean diffusivity (MD). These parameters were compared between the two groups. Logistic regression and receiver operating characteristic (ROC) curve analyses were performed to evaluate the diagnostic performance of DWI parameters in predicting adverse maternal outcomes. Results: < 0.05). A multivariate regression analysis identified D and the number of prior cesarean deliveries (CDs) as independent predictors of adverse outcomes. The combination of these two factors yielded the highest predictive performance, with an area under the curve (AUC) of 0.766 (95% confidence interval: 0.654-0.878). Discussion: DWI parameters demonstrated a significant association with adverse maternal outcomes in high-risk PAS patients. The combination of prior CD history and the D parameter may serve as a valuable predictive tool for identifying patients at an increased risk of complications.
Source: Frontiers in Medicine
Authors: Tao Lu, Li Wang, Yufu Huang, Yazheng Chen, Mou Li
Language: English
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,801
OpenAlex ID: W4417182129