| 阿依努尔·特列吾别尔根,侯娟,张思苗,刘文亚.肝泡型棘球蚴病门静脉期增强CT纹理分析预测其肝外转移[J].中国医学影像技术,2024,40(9):1357~1360 |
| 肝泡型棘球蚴病门静脉期增强CT纹理分析预测其肝外转移 |
| Portovenous phase enhanced CT texture analysis of hepatic alveolar echinococcosis for predicting extrahepatic metastasis |
| 投稿时间：2024-03-18 修订日期：2024-06-03 |
| DOI：10.13929/j.issn.1003-3289.2024.09.017 |
| 中文关键词: 棘球蚴病,肝 体层摄影术,X线计算机 转移 纹理分析 |
| 英文关键词:echinococcosis, hepatic tomography, X-ray computed metastasis texture analysis |
| 基金项目:国家自然科学基金(81974263)。 |
|
| 摘要点击次数: 599 |
| 全文下载次数: 229 |
| 中文摘要: |
| 目的 观察肝泡型棘球蚴病(HAE)门静脉期增强CT纹理分析预测其发生肝外转移的价值。方法 回顾性收集经病理确诊的105例HAE患者,根据术前影像学所见分为转移组(n=55)及非转移组(n=50)。 采用MaZda软件于术前腹部门静脉期增强CT中提取肝内病灶灰度直方图纹理特征参数,包括均值、方差、偏度、峰度及第1、10、50、90、99百分位数([JP2]记为Perc1、Perc10、Perc50、Perc90、Perc99),以单因素及多因素logistic回归进行分析,筛选HAE肝外转移的独立预测因素;绘制受试者工作特征(ROC)曲线,计算曲线下面积(AUC),评估各独立预测因素单一及其联合预测HAE肝外转移的效能。结果 肝内病灶的均值及偏度均为HAE肝外转移的独立预测因素(P均＜0.05),其预测HAE肝外转移的AUC分别为0.853及0.850,二者联合的AUC达0.902。结论 HAE门静脉期增强CT纹理分析可有效预测其肝外转移。 |
| 英文摘要: |
| Objective To explore the value of portovenous phase enhanced CT texture analysis of hepatic alveolar echinococcosis (HAE) for predicting extrahepatic metastasis. Methods A total of 105 patients with HAE confirmed by pathology were retrospectively collected. The patients were divided into metastatic group (n=55) and non-metastatic group (n=50) according to findings of preoperative imaging. Based on preoperative abdominal portovenous phase enhanced CT images, the grayscale histogram texture feature parameters of intrahepatic lesions, including mean, variance, skewness, kurtosis, and the 1, 10, 50, 90, and 99th percentiles (recorded as Perc1, Perc10, Perc50, Perc90, and Perc99) were extracted using MaZda software. Univariate and multivariate logistic regression were used to analyze the histogram texture parameters and screen independent predictors of extrahepatic metastasis of HAE. Then receiver operating characteristic (ROC) curve was drawn, and the area under the curve (AUC) was calculated to evaluate the efficacy of each independent predictor alone and their combination for predicting extrahepatic metastasis of HAE. Results The mean and skewness were both independent predictors of extrahepatic metastasis of HAE (both P＜0.05), with AUC of 0.853 and 0.850 for predicting HAE extrahepatic metastasis, respectively, while the AUC of their combination was 0.902. Conclusion Portovenous phase enhanced CT texture analysis of HAE could be used to effectively predict extrahepatic metastasis. |
| 查看全文 查看/发表评论 下载PDF阅读器 |
|
|
|
