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

AIM: This study aimed to investigate the ability of ultrasound/magnetic resonance imaging (MRI) signature and clinical data-based model for preoperatively predicting the degree of placenta accreta spectrum disorders and develop combined prediction models. METHODS: The clinicopathological characteris...

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Detalles Bibliográficos
Autores principales: An, Peng, Zhang, Junyan, Yang, Feng, Wang, Zhongqiu, Hu, Yan, Li, Xiumei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9159129/
https://www.ncbi.nlm.nih.gov/pubmed/35685563
http://dx.doi.org/10.1155/2022/9527412

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9159129/
https://www.ncbi.nlm.nih.gov/pubmed/35685563
http://dx.doi.org/10.1155/2022/9527412

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