severe preeclampsia
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2022 ◽  
Vol 2022 ◽  
pp. 1-10
Author(s):  
Qiang Wang ◽  
Dong Liu ◽  
Guangheng Liu

This study is aimed at discussing the value of ultrasonic image features in diagnosis of perinatal outcomes of severe preeclampsia on account of deep learning algorithm. 140 pregnant women singleton with severe preeclampsia were selected as the observation group. At the same time, 140 normal singleton pregnant women were selected as the control group. The hemodynamic indexes were detected by color Doppler ultrasound. The CNN algorithm was used to classify ultrasound images of two groups of pregnant women. The differential scanning calorimetry (DSC), mean pixel accuracy (MPA), and mean intersection of union (MIOU) values of CNN algorithm were 0.9410, 0.9228, and 0.8968, respectively. Accuracy, precision, recall, and F 1 -score were 93.44%, 95.13%, 95.09%, and 94.87%, respectively. The differences were statistically significant ( P < 0.05 ). Compared with the normal control group, the umbilical artery (UA), uterine artery-systolic/diastolic (UTA-S/D), uterine artery (UTA), and digital video (DV) of pregnant women in the observation group were remarkably increased; the minimum alveolar effective concentration (MCA) of the observation group was obviously lower than the MCA of the control group, and the differences between groups were statistically valid ( P < 0.05 ). Logistic regression analysis showed that UA-S/D, UA-resistance index (UA-RI), UTA-S/D, UTA-pulsatility index (UTA-PI), DV-peak velocity index for veins (DV-PVIV), and MCA-S/D were independent risk factors for the outcome of perinatal children with severe preeclampsia. In the perinatal management of severe epilepsy, the combination of the above blood flow indexes to select the appropriate delivery time had positive significance to improve the pregnancy outcome and reduce the perinatal mortality.


2022 ◽  
Vol 226 (1) ◽  
pp. S106
Author(s):  
Amrin Khander ◽  
Stephen T. Chasen
Keyword(s):  

2022 ◽  
Vol 226 (1) ◽  
pp. S408
Author(s):  
Noor K. Al-Shibli ◽  
Jacquelyn L. Dillon ◽  
Alice J. Darling ◽  
Carmen M. Avram ◽  
Amanda M. Craig ◽  
...  

2022 ◽  
Vol 226 (1) ◽  
pp. S136-S137
Author(s):  
Adina R. Kern-Goldberger ◽  
Bushra Amin ◽  
Sindhu K. Srinivas

2022 ◽  
Vol 226 (1) ◽  
pp. S333-S334
Author(s):  
Caroline Dunk ◽  
Matthew Butcher ◽  
Jianhong Zhang ◽  
Heyam Heyder ◽  
Dan Geraghty ◽  
...  

2022 ◽  
Vol 226 (1) ◽  
pp. S105-S106
Author(s):  
Amrin Khander ◽  
Stephen T. Chasen

2022 ◽  
Vol 226 (1) ◽  
pp. S729-S730
Author(s):  
Sara J. Grundy ◽  
Carmen M. Avram ◽  
Jacquelyn L. Dillon ◽  
Alice J. Darling ◽  
Gregory Zemtsov ◽  
...  
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