Influence of the low-dose CE-MDCT scanning protocol parameters on the results of pancreatic ductal adenocarcinoma radiomic analysis

To investigate the dependence of textural parameters of pancreatic ductal adenocarcinoma on using standard and low-dose CT protocols.Materials and methods. The study included 52 consecutive patients with histologically confirmed pancreatic ductal adenocarcinoma who underwent contrast enhanced computed tomography using standard (120 kV) and low-dose (100 kV) scanning protocols. We compared radiomics features of the identical histological tumors in all scanning phases.Results. We calculated 53 radiomics features in all types of pancreatic ductal adenocarcinoma grade differentiation for all scanning phases. We identified that out of 53 features of texture analysis, less than half was statistically different for each scan phase (11 parameters (20.8%) for the unenhanced phase; 18 parameters (34%) for the arterial; 19 parameters (35.8%) for the venous and delayed scanning phases), in all types of tumor differentiation (GLCM_ Contrast, GLCM_Correlation, GLCM_Dissimilarity, GLRLM_SRHGE etc., p < 0.05).The diagnostic accuracy of more than 50% of the radiomics features is preserved when changing kV in the CT scan protocol.Conclusion. The use of a low-dose CT protocol doesn’t affect the diagnostic accuracy of the features of texture analysis in the preoperative assessment of the degree of differentiation of pancreatic ductal adenocarcinoma.

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Differentiating hypovascular pancreatic neuroendocrine tumors from pancreatic ductal adenocarcinoma based on CT texture analysis

Acta Radiologica ◽

10.1177/0284185119875023 ◽

2019 ◽

Vol 61 (5) ◽

pp. 595-604 ◽

Cited By ~ 1

Author(s):

Zhonglan Wang ◽

Xiao Chen ◽

Jianhua Wang ◽

Wenjing Cui ◽

Shuai Ren ◽

...

Keyword(s):

Pancreatic Ductal Adenocarcinoma ◽

Texture Analysis ◽

Neuroendocrine Tumors ◽

Texture Features ◽

Ct Images ◽

Ductal Adenocarcinoma ◽

Pancreatic Neuroendocrine Tumors ◽

Portal Phase ◽

Contrast Enhanced ◽

Ct Texture Analysis

Background Hypovascular pancreatic neuroendocrine tumor is usually misdiagnosed as pancreatic ductal adenocarcinoma. Purpose To investigate the value of texture analysis in differentiating hypovascular pancreatic neuroendocrine tumors from pancreatic ductal adenocarcinoma on contrast-enhanced computed tomography (CT) images. Material and Methods Twenty-one patients with hypovascular pancreatic neuroendocrine tumors and 63 patients with pancreatic ductal adenocarcinomas were included in this study. All patients underwent preoperative unenhanced and dynamic contrast-enhanced CT examinations. Two radiologists independently and manually contoured the region of interest of each lesion using texture analysis software on pancreatic parenchymal and portal phase CT images. Multivariate logistic regression analysis was performed to identify significant features to differentiate hypovascular pancreatic neuroendocrine tumors from pancreatic ductal adenocarcinomas. Receiver operating characteristic curve analysis was performed to ascertain diagnostic ability. Results The following CT texture features were obtained to differentiate hypovascular pancreatic neuroendocrine tumors from pancreatic ductal adenocarcinomas: RMS (root mean square) (odds ratio [OR] = 0.50, P<0.001), Quantile50 (OR = 1.83, P<0.001), and sumAverage (OR = 0.92, P=0.007) in parenchymal images and “contrast” in portal phase images (OR = 6.08, P<0.001). The areas under the curves were 0.76 for RMS (sensitivity = 0.75, specificity = 0.67), 0.73 for Quantile50 (sensitivity = 0.60, specificity = 0.77), 0.70 for sumAverage (sensitivity = 0.65, specificity = 0.82), 0.85 for the combined texture features (sensitivity = 0.77, specificity = 0.85). Conclusion CT texture analysis may be helpful to differentiate hypovascular pancreatic neuroendocrine tumors from pancreatic ductal adenocarcinomas. The three combined texture features showed acceptable diagnostic performance.

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