Evaluation of Texture Analysis for the Differential Diagnosis of Mass-Forming Pancreatitis From Pancreatic Ductal Adenocarcinoma on Contrast-Enhanced CT Images

被引:46
作者
Ren, Shuai [1 ]
Zhang, Jingjing [1 ]
Chen, Jingya [1 ]
Cui, Wenjing [1 ]
Zhao, Rui [1 ]
Qiu, Wenli [1 ]
Duan, Shaofeng [2 ]
Chen, Rong [3 ]
Chen, Xiao [1 ]
Wang, Zhongqiu [1 ]
机构
[1] Nanjing Univ Chinese Med, Affiliated Hosp, Dept Radiol, Jiangsu Prov Hosp Chinese Med, Nanjing, Jiangsu, Peoples R China
[2] GE Healthcare China, Shanghai, Peoples R China
[3] Univ Maryland, Sch Med, Dept Diagnost Radiol & Nucl Med, Baltimore, MD 21201 USA
基金
中国国家自然科学基金;
关键词
pancreatic ductal adenocarcinoma; chronic pancreatitis; computed tomography; texture analysis; machine learning; AUTOIMMUNE PANCREATITIS; CARCINOMA; CANCER; MRI;
D O I
10.3389/fonc.2019.01171
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose: To investigate the potential of computed tomography (CT) imaging features and texture analysis to differentiate between mass-forming pancreatitis (MFP) and pancreatic ductal adenocarcinoma (PDAC). Materials and Methods: Thirty patients with pathologically proved MFP and 79 patients with PDAC were included in this study. Clinical data and CT imaging features of the two lesions were evaluated. Texture features were extracted from arterial and portal phase CT images using commercially available software (AnalysisKit). Multivariate logistic regression analyses were used to identify relevant CT imaging and texture parameters to discriminate MFP from PDAC. Receiver operating characteristic curves were performed to determine the diagnostic performance of predictions. Results: MFP showed a larger size compared to PDAC (p = 0.009). Cystic degeneration, pancreatic ductal dilatation, vascular invasion, and pancreatic sinistral portal hypertension were more frequent and duct penetrating sign was less frequent in PDAC compared to MFP. Arterial CT attenuation, arterial, and portal enhancement ratios of MFP were higher than PDAC (p < 0.05). In multivariate analysis, arterial CT attenuation and pancreatic duct penetrating sign were independent predictors. Texture features in arterial phase including SurfaceArea, Percentile40, InverseDifferenceMoment_angle90_offset4, LongRunEmphasis_angle45_offset4, and uniformity were independent predictors. Texture features in portal phase including LongRunEmphasis_angle135_offset7, VoxelValueSum, LongRunEmphasis_angle135_offset4, and GLCMEntropy_angle45_offset1 were independent predictors. Areas under the curve of imaging feature-based, texture feature-based in arterial and portal phases, and the combined models were 0.84, 0.96, 0.93, and 0.98, respectively. Conclusions: CT texture analysis demonstrates great potential to differentiate MFP from PDAC.
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页数:9
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