ArticleBMC medical imaging2025
The relevance of placenta MRI diffusion-derived vessels density and morphological features in diagnosing placenta accreta spectrum.
Article in BMC medical imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- MDIFN: a deep learning-based multi-dimensional interaction fusion network for placental MRI segmentation.Quantitative imaging in medicine and surgery · 2026Article
- Sound of nurturing: Advanced photoacoustic and ultrasound imaging of placental hemodynamics.Placenta · 2026Article
- An explanation for why tissues with T2 of around 70 milliseconds always measure low MRI apparent diffusion coefficient (ADC).Quantitative imaging in medicine and surgery · 2025Article
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6 authors.
Funding
Abstract
objectivesMRI morphological features are postulated to represent PAS (placenta accreta spectrum), while diffusion-derived vessel density (DDVD) computed from a simple diffusion MRI protocol is a new imaging biomarker representing perfusion. This study aims to explore the relevance of DDVD and MRI morphological features in diagnosing PAS.
methodsWe enrolled 86 patients with PAS and 40 pregnant women without PAS. Each case underwent intravoxel incoherent motion (IVIM) MRI sequence with 11 b-values. DDVD was the signal difference between b = 0 and b = 50 s/mm
resultsDDVDr(placenta) and DDVDr(interface) were significantly higher in patients with severe PAS (median, 1.194 and 1.230) than those in non-PAS (1.024 and 1.016, both p < 0.001). T2 dark bands and abnormal intraplacental vascularity were identified as predictors for all-inclusive PAS and severe PAS. DDVDr(interface) was significantly higher in patients manifested with T2 dark bands and abnormal intraplacental vascularity (median, 1.242 vs. 1.116, 1.230 vs. 1.126 p < 0.05). When DDVDr(interface) and the MRI morphological features were combined for predicting all-inclusive PAS and severe PAS, the AUC reached 0.894 and 0.916, respectively.
conclusionThe combination of placenta MRI diffusion-derived vessels density and qualitative can be used for the accurate prediction of PAS.
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