Diabetes risk assessment with imaging: a radiomics study of abdominal CT
Diabetes risk assessment with imaging: a radiomics study of abdominal CT
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DOI：
10.1007/s00330-018-5865-5
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发表时间：
2019-05-01
影响因子：
5.9
通讯作者：
Ju, Shenghong
中科院分区：
文献类型：
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作者：
Lu, Chun-Qiang;Wang, Yuan-Cheng;Ju, Shenghong
目的利用放射组学方法确定筛查早期2型糖尿病的CT标志物和评估糖尿病发生风险。方法回顾性分析26947例住院患者的病历资料。共选择690例患者，并将其分配到主要队列、验证队列和预测队列中，用于建立糖尿病的预测模型。使用从三个感兴趣的区域（即胰腺、肝脏和腰肌大肌）提取的CT图像特征构建三个放射组学特征。通过结合放射组学特征和其他标记，我们建立了一个放射组学图，可以用来筛查早期糖尿病和预测未来的糖尿病。结果在构建放射组学特征的三个腹部器官中，胰腺对早期糖尿病筛查和预测的鉴别能力最强（主要队列、验证队列和预测队列的c统计量分别为0.833、0.846和0.899）。nomogram预测3年糖尿病发生率的敏感性和特异性分别为0.827和0.807。结论：本研究提出了可替代的放射组学标记物，这些标记物有潜力用于筛查未确诊的2型糖尿病和预测3年发生的糖尿病。中心点CT图像可以提供有用的信息来评估患糖尿病的风险。中心点放射组学评分预测糖尿病是基于CT检测腹部器官的细微变化。胰腺放射组学特征，结合CT图像的五个特征，对早期糖尿病筛查和预测未来糖尿病是有效的（AUC>0.8）。
ObjectivesTo identify CT markers for screening of early type 2 diabetes and assessment of the risk of incident diabetes using a radiomics method.MethodsThe medical records of 26,947 inpatients were reviewed. A total of 690 patients were selected and allocated to a primary cohort, a validation cohort, and a prediction cohort and used to build prediction models for diabetes. Three radiomics signatures were constructed using CT image features extracted from three regions of interest, i.e., in the pancreas, liver, and psoas major muscle. By incorporating radiomics signatures and other markers, we built a radiomics nomogram that could be used to screen for early diabetes and predict future diabetes.ResultsOf the three abdominal organs for which radiomics signature were constructed, that of the pancreas showed the best discriminatory power for early diabetes screening and prediction (C-statistics of 0.833, 0.846, and 0.899 for the primary cohort, validation cohort, and prediction cohort, respectively). The sensitivity and specificity of the nomogram for prediction of 3-year incident diabetes were 0.827 and 0.807, respectively.ConclusionsThis study presents alternative radiomics markers that have potential for use in screening for undiagnosed type 2 diabetes and prediction of 3-year incident diabetes.Key Points center dot CT images may provide useful information to evaluate the risk of developing diabetes.center dot Radiomics score for diabetes prediction is based on subtle changes of abdominal organs detected by CT.center dot The radiomics signature of pancreas, a combination of five features of CT images, is efficient for early diabetes screening and prediction of future diabetes (AUC>0.8).