USMRI Features and Clinical Data-Based Model for Predicting the Degree of Placenta Accreta Spectrum Disorders and Developing Prediction Models

Table 4

Logistic regression analysis for predicting early placenta accreta spectrum disorders based on the ultrasound/MRI imaging model.

Ultrasound/MRI imaging model	Univariate analysis		Multivariate analysis
		Hazard ratio		Hazard ratio
Marginal placenta previa	0.561	0.791(0.359–1.743)
Complete placenta previa	0.029	2.195(1.085–4.440)	0.016	2.552(1.191–5.470)
Blurred boundary between the placenta and myometrium	0.008	2.604(1.280–5.296)	0.033	2.241(1.066–4.712)
Placental blood pool	0.973	1.012(0.493–2.077)
Continuity of the myometrium	0.097	1.769(0.902–3.471)
Blurred boundary between the uterine serosa and bladder	0.013	2.456(1.212–4.978)	0.013	2.643(1.232–5.668)
Signs of bladder involvement	0.192	1.619(0.784–3.341)
Signs of cervical involvement	0.739	0.885(0.431–1.819)
Abnormal retroplacental blood flow signals	0.924	0.967(0.486–1.924)
Local thickening of placenta	0.501	0.788(0.394–1.577)
Placental signal disorder	0.924	1.034(0.520–2.056)
Placental protrusion	0.386	0.735(0.366–1.475)

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