| 摘要: |
| 目的：探究超声造影联合卵巢癌风险模型(ROMA)指数列线图模型在卵巢上皮性癌(EOC)中的诊断价值。方法：以2019年4月至2022年4月在甘肃省妇幼保健院妇科就诊,初步诊断为卵巢肿物且接受手术治疗的214例患者为目标人群进行回顾性研究。将2019年4月至2020年12月收治的130例患者作为建模集,2021年1月至2022年4月收治的84例患者作为验证集。根据病理诊断结果,将建模集分为良性肿瘤组(n=85)和EOC组(n=45)。比较两组患者ROMA指数及超声造影定量参数,通过logistic回归筛选差异因子建立列线图诊断模型,通过建模集及验证集的校准曲线及ROC曲线验证列线图模型对EOC的诊断价值。结果：与良性肿瘤组患者比较,EOC组患者CA125阳性比例、HE4阳性比例、ROMA阳性比例,PI、V1、TIC-AUC显著升高(P<0.05),IT、TTP显著降低(P<0.05)。多因素logistic回归结果示,ROMA、IT、TTP、PI、TIC-AUC是EOC患者和良性肿瘤组患者的差异因子(P<0.05)。建模集和验证集ROC曲线下面积分别为0.919(95%CI：0.873-0.965,P<0.001)、0.835(95%CI：0.737-0.933,P<0.001)。当诊断概率取最佳截断值0.244时,列线图诊断模型的灵敏度、特异度、准确度分别为86.67%、80.00%、82.31%。结论：超声造影定量参数联合ROMA指数构建的列线图模型区分度和校准度较好,对EOC患者具有较高的诊断价值。 |
| 关键词: 卵巢上皮性癌 超声造影 卵巢癌风险模型 列线图 诊断价值 |
| DOI： |
| 投稿时间：2022-07-23修订日期：2022-08-02 |
| 基金项目:甘肃省科技计划项目(项目编号：20JR5RA132)。 |
|
| Diagnostic Value of Nomogram Model Constructed by Contrast-enhanced Ultrasound Combined with ROMA Index in Epithelial Ovarian Cancer |
| Shixixi,Liuxinping,Shijinjing,Mabin |
| () |
| Abstract: |
| Objective: To study the diagnostic efficacy of the nomogram model constructed by contrast-enhanced ultrasound combined with risk of ovarian malignancy algorithm (ROMA) index in epithelial ovarian cancer (EOC). Methods: A retrospective analysis was implemented on 214 patients who were initially diagnosed with ovarian tumors and received surgical treatment in the gynecology department of Gansu Provincial Maternity and Child-care Hospital from April 2019 to April 2022. About 130 patients recruited from April 2019 to December 2020 were used as the modeling set, and 84 patients recruited from January 2021 to April 2022 were used as the validation set. Based on the results of pathological diagnosis, the modeling set was divided into benign tumor group (n=85) and EOC group (n=45). The ROMA index and quantitative parameters of contrast-enhanced ultrasound were contrasted between the two groups, and the differential factors were selected by logistic regression to construct a nomogram diagnostic model. Results: Compared with the benign tumor group, the positive ratio of CA125, HE4, and ROMA, and the value of PI, V1 and TIC-AUC in the EOC group were significantly increased (P<0.05), while the value of IT and TTP were significantly decreased (P<0.05). Multivariate logistic regression results showed that ROMA, IT, TTP, PI, and TIC-AUC were the different factors between EOC patients and benign tumor patients (P<0.05). The areas under the ROC curves of the modeling set and validation set were 0.919 (95%CI: 0.873-0.965, P<0.001) and 0.835 (95%CI: 0.737-0.933, P<0.001), respectively. When the diagnostic probability was taken as the optimal cut-off value of 0.244, the sensitivity, specificity and accuracy of the nomogram diagnostic model were 86.67%, 80.00% and 82.31%, respectively. Conclusion: The nomogram model constructed by the quantitative parameters of contrast-enhanced ultrasound combined with the ROMA index has better discrimination and calibration, it also has higher diagnostic value for EOC patients. |
| Key words: Epithelial ovarian cancer Contrast-enhanced ultrasound risk of ovarian malignancy algorithm Nomogram Diagnostic value |
