国际医学放射学杂志2024，Vol.47Issue(3)：274-279,287,7.DOI:10.19300/j.2024.L20963
CT影像组学模型对肾上腺腺瘤亚型鉴别的价值
The value of CT-based radiomics models in differentiating adrenal adenoma subtypes
吴春梅 1李轩昂 2王尉丞 2薛林雁 2殷小平3
作者信息
- 1. 河北大学附属医院影像科,保定 071000||河北大学临床医学院||河北省炎症相关肿瘤精准影像诊断学重点实验室
- 2. 河北大学质量技术监督学院
- 3. 河北大学附属医院影像科,保定 071000||河北省炎症相关肿瘤精准影像诊断学重点实验室
- 折叠
摘要
Abstract
Objective To investigate the clinical value of multiphase CT radiomics models in differentiating adrenal adenoma subtypes.Methods A retrospective collection of 195 patients with pathologically confirmed adrenal adenomas who underwent preoperative non-contrast and contrast-enhanced CT scans was conducted.Patients were randomly divided into a training set(156 cases)and a validation set(39 cases)in an 8∶2 ratio.Based on the hormone secretion level,the adrenal adenomas were divided into functional adrenal adenoma group(70 cases)and non-functional adrenal adenoma group(125 cases).Based on hormone secretion levels,patients were divided into a functional adrenal adenoma group(70 cases)and a non-functional adrenal adenoma group(125 cases).A total of 1521 radiomics features were extracted from the patients'non-contrast and contrast-enhanced CT images.Using the random forest algorithm,the top 8 optimal radiomics features were selected.Radiomics models were constructed using the support vector machine(SVM)algorithm with 5-fold cross-validation for the non-contrast phase,arterial phase,venous phase,delayed phase,and a model combining all phases.Clinical and CT imaging features were compared between the two groups using t-tests,Mann-Whitney U tests,and chi-square tests.The receiver operating characteristic(ROC)curve was plotted,and the area under the curve(AUC),accuracy,sensitivity,and specificity were calculated to evaluate the model's performance.Results The functional adrenal adenoma group had lower blood potassium levels and a higher proportion of patients with hypertension compared to the non-functional adrenal adenoma group(both P＜0.05).In the validation set,the non-contrast phase radiomics model showed the highest diagnostic performance with an AUC of 0.813,accuracy of 0.759,and specificity of 0.814.Conclusion The radiomics model based on CT radiomics features from different phases combined with SVM can non-invasively differentiate adrenal adenoma subtypes.This model has significant clinical value and can aid in clinical decision-making.关键词
肾上腺腺瘤/影像组学/机器学习/支持向量机/随机森林/体层摄影术,X线计算机Key words
Adrenal adenoma/Radiomics/Machine learning/Support vector machines/Random forests/Tomography,X-ray computed分类
医药卫生引用本文复制引用
吴春梅,李轩昂,王尉丞,薛林雁,殷小平..CT影像组学模型对肾上腺腺瘤亚型鉴别的价值[J].国际医学放射学杂志,2024,47(3):274-279,287,7.
