Deep Learning Model Based on Multisequence MRI Images for Assessing Adverse Pregnancy Outcome in Placenta Accreta

• Published in: Journal of magnetic resonance imaging Vol. 59; no. 2; pp. 510 - 521
• Main Authors: Zong, Ming, Pei, Xinlong, Yan, Kun, Luo, Deng, Zhao, Yangyu, Wang, Ping, Chen, Lian
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 01.02.2024; Wiley Subscription Services, Inc
• Subjects: adverse outcomes; Deep Learning; Female; Field strength; Humans; Hysterectomy; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Mathematical models; Medical imaging; multisequence MRI; PAS; Placenta; Placenta Accreta - diagnostic imaging; Population studies; Pregnancy; Pregnancy Outcome; Reclassification; Retrospective Studies; Risk assessment; ROI; Statistical analysis; Statistical tests; deep learning; PAS; adverse outcomes; ROI; multisequence MRI

Background Preoperative assessment of adverse outcomes risk in placenta accreta spectrum (PAS) disorders is of high clinical relevance for perioperative management and prognosis. Purpose To investigate the association of preoperative MRI multisequence images and adverse pregnancy outcomes by establi...