Diagnostic accuracy of unenhanced CT texture analysis to differentiate mass-forming pancreatitis from pancreatic ductal adenocarcinoma

2020 ◽  
Vol 45 (5) ◽  
pp. 1524-1533 ◽  
Author(s):  
Shuai Ren ◽  
Rui Zhao ◽  
Jingjing Zhang ◽  
Kai Guo ◽  
Xiaoyu Gu ◽  
...  
Keyword(s):  
Diagnostic Accuracy ◽  
Pancreatic Ductal Adenocarcinoma ◽  
Texture Analysis ◽  
Ductal Adenocarcinoma ◽  
Unenhanced Ct ◽  
Ct Texture Analysis

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

2019 ◽  
Vol 61 (5) ◽  
pp. 595-604 ◽  
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.

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

2021 ◽  
Vol 26 (1) ◽  
pp. 25-33
Author(s):  
V. S. Tikhonova ◽  
G. G. Karmazanovsky ◽  
E. V. Kondratyev ◽  
I. S. Gruzdev ◽  
A. V. Glotov
Keyword(s):  
Diagnostic Accuracy ◽  
Pancreatic Ductal Adenocarcinoma ◽  
Texture Analysis ◽  
Low Dose ◽  
Preoperative Assessment ◽  
Ductal Adenocarcinoma ◽  
Low Dose Ct ◽  
Contrast Enhanced ◽  
Enhanced Computed Tomography ◽  
Degree Of Differentiation

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.

Can Quantitative CT Texture Analysis be Used to Differentiate Fat-poor Renal Angiomyolipoma from Renal Cell Carcinoma on Unenhanced CT Images?

Radiology ◽  
2015 ◽  
Vol 276 (3) ◽  
pp. 787-796 ◽  
Author(s):  
Taryn Hodgdon ◽  
Matthew D. F. McInnes ◽  
Nicola Schieda ◽  
Trevor A. Flood ◽  
Leslie Lamb ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Texture Analysis ◽  
Renal Cell ◽  
Ct Images ◽  
Renal Angiomyolipoma ◽  
Quantitative Ct ◽  
Unenhanced Ct ◽  
Ct Texture Analysis

scholarly journals Serum biomarker CD163 predicts overall survival in patients with pancreatic ductal adenocarcinoma

2019 ◽  
Author(s):  
Qinglin Fei ◽  
Yu Pan ◽  
Xingxing Yu ◽  
Tianhong Teng ◽  
Ronggui Lin ◽  
...  
Keyword(s):  
Overall Survival ◽  
Diagnostic Accuracy ◽  
Pancreatic Ductal Adenocarcinoma ◽  
Benign Tumor ◽  
Univariate Analysis ◽  
Ductal Adenocarcinoma ◽  
Ca 125 ◽  
Operating Characteristics ◽  
Lymphocyte To Monocyte Ratio ◽  
Scd163 Level

Abstract Background The serum soluble CD163 (sCD163) is elevated in patients with infection disease and several types of cancer. However, the prognostic value of serum sCD163 in pancreatic ductal adenocarcinoma (PDAC) has not yet been investigated. Methods Serum level of sCD163 was measured by using the peripheral blood of 54 patients with PDAC, 20 patients with benign tumor of pancreas, and 30 healthy volunteers (healthy controls). The association between serum sCD163 level and overall survival was analyzed. Receiver operating characteristics (ROCs) curves were generated, and areas under the curve (AUC) were compared to evaluate the diagnostic accuracy, including CA 19-9, CEA, CA 125, CA 153, serum sCD163 level and combination of sCD163 and CA19-9. Results Serum sCD163 level of patients with PDAC was significant higher than patients with benign tumor (p = 0.002) and health controls (p < 0.001). Using ROCs curves, we found that the AUC values of serum sCD163 were higher than those of CA 125 and CA 153, but lower than those of CA 19-9 and CEA. The combination of sCD163 and CA19-9 had higher diagnostic accuracy than CA19-9 or sCD163 alone. In addition, the prognosis of PDAC patients with sCD163 ≥ median was worse than sCD163 < median by using univariate analysis (p = 0.027). Further, multivariate analysis showed that higher level of serum sCD163 was still associated with poorer overall survival (p = 0.030). Serum sCD163 was not associated with tumoral CD163 expression, whereas negatively correlated with lymphocyte to monocyte ratio (r = -0.428, p = 0.001). Conclusion The serum sCD163 has the potential as a new promising parameter to predict the prognosis in PDAC patients.

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