| 基于术前超声的列线图模型预测卵巢癌患者淋巴结转移的临床价值 |
| |
| 引用本文： | 杨亚琴,叶学伟,周斌倩,毛明锋,崔新伍,刘建新. 基于术前超声的列线图模型预测卵巢癌患者淋巴结转移的临床价值[J]. 临床超声医学杂志, 2024, 26(5) |
| |
| 作者姓名： | 杨亚琴 叶学伟 周斌倩 毛明锋 崔新伍 刘建新 |
| |
| 作者单位： | 武汉市中心医院,武汉市中心医院,武汉市中心医院,武汉市中心医院,武汉市同济医院,武汉市中心医院 |
| |
| 摘 要： | 目的：卵巢癌(OC)是全球女性最常见的癌症之一,我们研究的目的是探究卵巢癌患者淋巴结转移的危险因素,以此指导临床手术和治疗。方法：纳入2014年4月-2022年5月的卵巢癌患者资料,通过Logistic回归分析,建立卵巢癌淋巴结转移的预测模型,并绘制列线图,使用ROC曲线、校准图和决策分析曲线评价模型的效能。结果：在333例训练集患者中,有92例(27.6%)患者发生淋巴结转移。肿瘤最大径, 多灶性和Ki67水平是淋巴结转移的独立危险因素。根据多因素分析结果构建列线图,训练集中ROC曲线的AUC=0.819(95%CI:0.770-0.868),验证集中ROC曲线的AUC=0.794(95%CI:0.717-0.870)。校准图和决策分析曲线提示模型具有良好的校准度和临床应用价值。超声+临床联合模型的预测效能高于单个模型。结论：我们基于超声检查结果和患者的临床资料构建了卵巢癌患者淋巴结转移的预测模型,在精准医疗的时代,可更准确地评估患者淋巴结转移的风险,并为患者制定最佳的治疗方案。
|
| 收稿时间： | 2023-11-07 |
| 修稿时间： | 2024-01-30 |
To explore the clinical value of a nomogram model based on preoperative ultrasound in predicting lymph node metastasis in patients with ovarian cancer |
| |
| yangyaqin,yexuewei,zhoubinqian,maomingfeng,cuixinwu and liujianxin. To explore the clinical value of a nomogram model based on preoperative ultrasound in predicting lymph node metastasis in patients with ovarian cancer[J]. Journal of Ultrasound in Clinical Medicine, 2024, 26(5) |
| |
| Authors: | yangyaqin yexuewei zhoubinqian maomingfeng cuixinwu liujianxin |
| |
| Affiliation: | Wuhan Central Hospital,,,,, |
| |
| Abstract: | Objective: Ovarian cancer (OC) is one of the most common cancers in women worldwide. The purpose of this study is to explore the risk factors for lymph node metastasis in patients with ovarian cancer, so as to guide clinical surgery and treatment. Methods: Data of ovarian cancer patients from April 2014 to May 2022 were included. A predictive model for lymph node metastasis of ovarian cancer was established by Logistic regression analysis, and a nomogram was drawn. ROC curve, calibration plot and decision curve analysis were used to evaluate the effectiveness of the model. Results: Of 333 patients in the training set, 92 (27.6%) developed lymph node metastases. Maximum tumor size, multifocal tumor, and Ki67 level were independent risk factors for lymph node metastasis. The AUC of the ROC curve in the training set was 0.819(95%CI:0.770-0.868), and the AUC of the ROC curve in the validation set was 0.794(95%CI:0.717-0.870). The calibration plot and decision curve analysis indicate that the model has good calibration degree and clinical application value. The combined ultrasound and clinical model had higher predictive efficacy than the single model. Conclusion: Based on ultrasound results and patient clinical data, we constructed a prediction model for lymph node metastasis in ovarian cancer patients, which can more accurately assess the risk of lymph node metastasis in patients in the era of precision medicine, and formulate the best treatment plan for patients. |
| |
| Keywords: | Ovarian cancer Lymph node metastasis nomograph |
|
| 点击此处可从《临床超声医学杂志》浏览原始摘要信息 |
|
点击此处可从《临床超声医学杂志》下载免费的PDF全文 |
|
