|
二维码（扫一下试试看！） |
| CT影像组学识别非酒精性脂肪性肝炎的应用研究 |
| Application study of non-alcoholic steatohepatitis based on radiomics of computed tomography |
| 收稿日期： |
| DOI：10.3969/j.issn.1673-9701.2024.04.014 |
| 关键词: 计算机体层扫描 非酒精性脂肪性肝炎 非酒精性脂肪性肝病 影像组学 预测模型 |
| Key Words: |
| 基金项目: |
|
| 摘要点击次数: 92 |
| 全文下载次数: 100 |
| 摘要:目的 构建并验证基于CT的全肝影像组学模型用于识别非酒精性脂肪性肝炎（non-alcoholic steatohepatitis，NASH）。方法 回顾性选取2018年6月至2022年12月浙江省人民医院收治的122例非酒精性脂肪性肝病患者，其中NASH患者52例。将纳入患者按7：3比例随机分为训练组（n=85）和测试组（n=37），选取每例患者的肝脏平扫图像提取影像组学特征，对训练组提取的特征进行降维并建立影像组学标签，之后联合相关临床特征构建联合预测模型用于识别NASH患者，使用受试者操作特征曲线及测试组数据评估模型的诊断效能。结果 联合预测模型基于年龄和影像组学标签构建，该模型在训练组和测试组中识别NASH患者的诊断效能分别为0.899和0.880，特异性分别为91.2%和88.1%，敏感度分别为86.7%和88.2%。校准曲线在训练组和测试组中也显示出良好的校准性能。结论 基于肝脏CT的影像组学模型可定量评估NASH，有望为临床提供一种无创性评价工具。 |
| Abstract:Objective To construct and validate a whole liver radiomics model based on computed tomography (CT) to identify patients with non-alcoholic steatohepatitis (NASH). Methods A total of 122 patients with nonalcoholic fatty liver disease treated in Zhejiang Provincial People’s Hospital from June 2018 to December 2022 were retrospectively selected, including 52 patients with NASH. They were randomly divided into training group (n=85) and test group (n=37) according to a ratio of 7:3, and the liver plain scan images of each patient were selected to extract the radiomics features. The extracted features of the training group were dimensioned down and the radiomics signature was established. After that, a joint model was constructed with relevant clinical features to identify NASH patients, and the diagnostic effectiveness of the model was evaluated using receiver operating characteristic curve and test group data. Results The joint model was constructed based on age and radiomics labels. The diagnostic efficiency of the model for identifying NASH patients in training group and test group were 0.899 and 0.880, the specificity were 91.2% and 88.1%, and the sensitivity were 86.7% and 88.2%, respectively. In addition, the calibration curve also showed good calibration performance in training group and test group. Conclusion The joint model based on liver CT can quantitatively evaluate NASH, and is expected to provide a non-invasive evaluation tool for clinical use. |
| 查看全文 HTML 查看/发表评论 下载PDF阅读器 |
