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Research progress of MRI in placenta accrete spectrum disorders
WANG Yingchao  HUANG Gang 

Cite this article as: WANG Y C, HUANG G. Research progress of MRI in placenta accrete spectrum disorders[J]. Chin J Magn Reson Imaging, 2023, 14(1): 194-197, 202. DOI:10.12015/issn.1674-8034.2023.01.036.


[Abstract] Placenta accrete spectrum disorders (PAS) is one of the serious complications of pregnant women in the world, which can lead to postpartum hemorrhage, increase the risk of perioperative hysterectomy, and cause adverse pregnancy outcomes. MRI is an excellent tool for evaluating PAS, which can provide additional information for patients with PAS suspected by ultrasound, such as the scope and extent of the invasion, whether there is extrauterine involvement, and predict the emergency during surgery (such as blood loss, blood transfusion, and hysterectomy). This article aims to discuss the research progress of new MRI technologies, such as diffusion-weighted imaging (DWI), blood oxygen level-dependent (BOLD) imaging, MRI based rediomics and deep learning, in PAS evaluation.
[Keywords] placenta accrete spectrum disorders；magnetic resonance imaging；diffusion-weighted imaging；intravoxel incoherent motion；blood oxygen level-dependent imaging；radiomics；deep learning

WANG Yingchao1, 2   HUANG Gang3*  

1 Gansu University of Chinese Medicine, Lanzhou 730000, China

2 Department of Medical Imaging, Zhangye People's Hospital Affiliated to Hexi University Zhangye 734000, China

3 Department of Radiology, Gansu Province Hospital, Lanzhou 730000, China

Corresponding author: Huang G, E-mail: keen0999@163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS University Innovation Fund Project of Education Department of Gansu Province (No. 2021B-232); Research Fund Project for Young Teachers of Hexi University (No. QN2020005).
Received  2022-04-06
Accepted  2022-12-21
DOI: 10.12015/issn.1674-8034.2023.01.036
Cite this article as: WANG Y C, HUANG G. Research progress of MRI in placenta accrete spectrum disorders[J]. Chin J Magn Reson Imaging, 2023, 14(1): 194-197, 202. DOI:10.12015/issn.1674-8034.2023.01.036.

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