Department of Obstetrics, Huai'an Maternal and Child Health Hospital, No. 104 Renmin South Road, Huai'an 223001, Jiangsu, China.
J Healthc Eng. 2021 Nov 29;2021:9886521. doi: 10.1155/2021/9886521. eCollection 2021.
The study focused on the clinical diagnostic value of color Doppler ultrasound of dangerous placenta previa patients under the guidance of intelligent recognition algorithms. 58 patients with placenta previa and placenta accreta admitted to the hospital for treatment were selected as research subjects. The color Doppler ultrasound under the guidance of intelligent recognition algorithm was compared with the two-dimensional ultrasound for specificity, sensitivity, and accuracy. The color Doppler ultrasound results showed that, of the 58 patients, there were 32 cases of complete placenta previa and 26 cases of incomplete placenta previa, which were consistent with the surgical pathology results. It was found that patients with malignant placenta previa and placenta accreta had thickened placenta, disappeared posterior placental space, myometrium <2 mm, and increased incidence of cervical enlargement ( 0.05). In conclusion, the recognition accuracy of color Doppler ultrasound under the guidance of the intelligent recognition algorithm is more than 90%, and it can effectively identify dangerous placenta previa, assisting doctors in diagnosis and treatment of dangerous placenta previa.
该研究侧重于智能识别算法指导下的凶险性前置胎盘患者的彩色多普勒超声的临床诊断价值。选取因凶险性前置胎盘入院治疗的 58 例患者作为研究对象。比较智能识别算法指导下的彩色多普勒超声与二维超声的特异性、敏感性和准确性。彩色多普勒超声结果显示，58 例患者中完全性前置胎盘 32 例，不完全性前置胎盘 26 例，与手术病理结果一致。发现恶性凶险性前置胎盘和胎盘植入患者胎盘增厚、胎盘后间隙消失、肌层厚度＜2mm、宫颈扩张发生率增加（ 0.05）。结论：智能识别算法指导下的彩色多普勒超声的识别准确率超过 90%，可有效识别凶险性前置胎盘，辅助医生对凶险性前置胎盘进行诊断和治疗。
