| 摘要: |
| 目的 探讨三维能量多普勒超声(3D-PDU)血流参数评估宫颈癌(CC)化疗效果的价值及预测模型建立。方法 回顾性选取2020年1月至2023年1月在本院就诊的160例CC患者的临床资料。所有患者均接受新辅助化疗治疗,根据化疗效果,将患者分为有效组(103例)和无效组(57例)。比较两组患者一般资料和3D-PDU血流参数[血管形成-血流指数(VFI)、血流指数(FI)及血管形成指数(VI)],分析3D-PDU血流参数与CC化疗效果的关系,建立风险预测模型,并评估模型拟合度和预测效能。结果 化疗后,两组VFI、FI及VI水平均下降,且与无效组比较,有效组更低(P<0.05)。两组患者在临床分期、化疗后VFI、化疗后FI、化疗后VI比较,差异均有统计学意义(P<0.05),在年龄、BMI、病理类型、肿瘤直径、分化程度、淋巴结转移比较,差异均无统计学意义(P>0.05)。化疗后VFI≥5.15dB、化疗后FI≥27.64dB及化疗后VI≥11.88%均是影响CC患者化疗效果无效的独立危险因素(P<0.05)。CC患者化疗效果的风险预测模型为：P=1/[1+e(-4.609+1.039×(化疗后VFI)+1.534×(化疗后FI)+1.168×(化疗后VI)],采用Hosmer-Lemeshow检验,χ2=4.635,P=0.781；ROC分析显示,CC患者化疗效果的风险预测模型预测化疗效果的AUC为0.882。结论 3D-PDU血流参数可以较好评估CC化疗效果,根据其建立的预测模型具有较好的预测效果。 |
| 关键词: 三维能量多普勒超声 血流参数 宫颈癌 化疗效果 价值 预测模型 |
| DOI： |
| 投稿时间：2023-12-16修订日期：2024-02-23 |
| 基金项目: |
|
| Evaluation value of 3D-PDU blood flow parameters for chemotherapy effect in cervical cancer and the construction of prediction model |
| Chen Gaojin,Li Ruixia,Feng Fei |
| (Department of Ultrasound Medicine,First Hospital of Lanzhou University) |
| Abstract: |
| Objective To explore the evaluation value of three-dimensional power Doppler ultrasound (3D-PDU) blood flow parameters for chemotherapy effect in cervical cancer (CC) and the construction of prediction model. Methods A retrospective collection was performed on the clinical data of 160 patients with CC treated in the hospital between January 2020 and January 2023. All were given neoadjuvant chemotherapy. According to chemotherapy effect, they were divided into effective group (103 cases) and ineffective group (57 cases). The general data and 3D-PDU blood flow parameters [vascularization flow index (VFI), flow index (FI), vascularization index (VI)] were compared between the two groups. The relationship between 3D-PDU blood flow parameters and chemotherapy effect was analyzed. The risk prediction model was constructed, and the model’s fit and predictive efficiency were evaluated. Results After chemotherapy, VFI, FI and VI in both groups were decreased,which were lower in effective group than ineffective group (P<0.05). There were significant differences in clinical staging, VFI, FI and VI after chemotherapy between the two groups (P<0.05), but there was no significant difference in age, BMI, pathological types, tumor diameter, differentiation degree or lymph node metastasis (P>0.05). VFI ≥5.15dB, FI ≥27.64dB and VI ≥11.88% after chemotherapy were all independent risk factors of chemotherapy ineffectiveness in CC patients (P<0.05). The risk prediction model for chemotherapy effect was as follow: P=1/[1+e(-4.609+1.039× (VFI after chemotherapy) +1.534× (FI after chemotherapy) +1.168× (VI after chemotherapy)]. The results of Hosmer-Lemeshow test were as follows: χ2=4.635, P=0.781. ROC curves analysis showed that AUC of the risk prediction model for predicting chemotherapy effect in CC patients was 0.882. Conclusion 3D-PDU blood flow parameters can better evaluate the chemotherapy effect in CC, and the prediction model based on these factors has good predictive effect. |
| Key words: Three-dimensional power Doppler ultrasound Blood flow parameter Cervical cancer Chemotherapy effect Value Prediction model |
