Differentiation of Focal-Type Autoimmune Pancreatitis From Pancreatic Ductal Adenocarcinoma Using Radiomics Based on Multiphasic Computed Tomography.
Differentiation of Focal-Type Autoimmune Pancreatitis From Pancreatic Ductal Adenocarcinoma Using Radiomics Based on Multiphasic Computed Tomography.
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DOI：
10.1097/rct.0000000000001049
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发表时间：
2020
影响因子：
1.3
通讯作者：
中科院分区：
文献类型：
--
作者：
目的：建立局灶型自身免疫性胰腺炎（AIP）与胰腺导管腺癌（PDA）鉴别诊断的放射组学模型。回顾性收集96例患者，其中45例为AIP， 51例为PDA。所有患者均在非对比期、动脉期和静脉期进行了预处理腹部CT成像。从每个相位图像中提取1160个放射组学特征，构建放射组学模型。通过敏感性、特异性和准确性评估放射组学模型的性能。放射组学模型的结果也与放射科医生的视觉评估结果进行了比较。最佳放射组学模型的敏感性、特异性和准确性分别为93.3%、96.1%和94.8%。其敏感性为57.78% / 73.33%，特异性为88.24 / 90.20%，准确性为75.00% / 81.25%。放射组学作为一种无创、定量的方法，在临床上有助于AIP的鉴别诊断。
To develop radiomics model for differential diagnosis of focal-type autoimmune pancreatitis (AIP) from pancreatic ductal adenocarcinoma (PDA). A total of 96 patients, 45 AIP and 51 PDA, were retrospectively collected. All patients underwent pretreatment abdominal CT imaging acquired at non-contrast, arterial, and venous phases. 1160 radiomics features were extracted from each phasic image to build radiomics models. The performance of radiomics model was evaluated by sensitivity, specificity, and accuracy. The results of radiomics model were also compared with those of radiologists’ visual assessments. The sensitivity, specificity, and accuracy of the optimal radiomics model were 93.3%, 96.1%, and 94.8%, respectively. They were higher than those of the radiologists’ assessments with sensitivity of 57.78% / 73.33%, specificity of 88.24 / 90.20%, and accuracy of 75.00% / 81.25%. Radiomics is helpful for differential diagnosis of AIP in clinical practice as a noninvasive and quantitative method.