Author of 1 Presentation
SS 5.5 - Assessment of malignant potential in intraductal papillary mucinous neoplasms of the pancreas using MR findings and texture analysis
Abstract
Purpose
To investigate the usefulness of MR findings and texture analysis for predicting the malignant potential of pancreatic intraductal papillary neoplasms (IPMNs).
Material and methods
248 patients with surgically confirmed IPMNs (106 high grade (HG; invasive carcinoma and high-grade dysplasia) and 142 low grade (LG; low/intermediate-grade dysplasia)) and who underwent preoperative MRI with MRCP were included. MR findings suggestive of high-risk stigmata or worrisome features based on the international consensus Fukuoka guidelines 2017 were analyzed. Quantitative features were extracted using texture analysis of T2-weighted MRCP. Multivariate analysis was used to identify independent predictors for HG IPMNs. Diagnostic performance was also analyzed using receiver operating curve analysis.
Results
Among MR findings, enhancing mural nodules ≥5mm, main pancreatic ductal (MPD) dilatation ≥10mm, and abrupt change of MPD with upstream parenchymal atrophy were significant predictors for HG IPMNs (all Ps <0.05). Among texture variables, the significant predictors for HG IPMNs were lower sphericity (P=0.004) and lower compactness (P<0.001). At multivariate analysis, enhancing mural nodule ≥5mm (odds ratios (ORs), 7.97; 95% confidence interval (CI), 4.10-15.52; P<0.001), MPD dilatation ≥10mm (OR, 2.59; 95% CI, 1.16-5.79; P=0.021) and lower compactness on texture analysis (OR, 0.81; 95 % CI, 0.67-0.98; P=0.032) were significant factors for predicting HG IPMNs. Addition of texture variable to MR findings showed better diagnostic performance for predicting HG IPMNs than using MR findings only (AUC, 0.83 vs. 0.79, P=0.008).
Conclusion
MRCP-derived texture features are useful for predicting malignant potential of IPMNs and addition of texture analysis to MRI features may improve diagnostic performance for predicting HG IPMNs.
Video-on-demand
Presenter of 1 Presentation
SS 5.5 - Assessment of malignant potential in intraductal papillary mucinous neoplasms of the pancreas using MR findings and texture analysis
Abstract
Purpose
To investigate the usefulness of MR findings and texture analysis for predicting the malignant potential of pancreatic intraductal papillary neoplasms (IPMNs).
Material and methods
248 patients with surgically confirmed IPMNs (106 high grade (HG; invasive carcinoma and high-grade dysplasia) and 142 low grade (LG; low/intermediate-grade dysplasia)) and who underwent preoperative MRI with MRCP were included. MR findings suggestive of high-risk stigmata or worrisome features based on the international consensus Fukuoka guidelines 2017 were analyzed. Quantitative features were extracted using texture analysis of T2-weighted MRCP. Multivariate analysis was used to identify independent predictors for HG IPMNs. Diagnostic performance was also analyzed using receiver operating curve analysis.
Results
Among MR findings, enhancing mural nodules ≥5mm, main pancreatic ductal (MPD) dilatation ≥10mm, and abrupt change of MPD with upstream parenchymal atrophy were significant predictors for HG IPMNs (all Ps <0.05). Among texture variables, the significant predictors for HG IPMNs were lower sphericity (P=0.004) and lower compactness (P<0.001). At multivariate analysis, enhancing mural nodule ≥5mm (odds ratios (ORs), 7.97; 95% confidence interval (CI), 4.10-15.52; P<0.001), MPD dilatation ≥10mm (OR, 2.59; 95% CI, 1.16-5.79; P=0.021) and lower compactness on texture analysis (OR, 0.81; 95 % CI, 0.67-0.98; P=0.032) were significant factors for predicting HG IPMNs. Addition of texture variable to MR findings showed better diagnostic performance for predicting HG IPMNs than using MR findings only (AUC, 0.83 vs. 0.79, P=0.008).
Conclusion
MRCP-derived texture features are useful for predicting malignant potential of IPMNs and addition of texture analysis to MRI features may improve diagnostic performance for predicting HG IPMNs.
Video-on-demand
Author of 1 Presentation
SS 5.5 - Assessment of malignant potential in intraductal papillary mucinous neoplasms of the pancreas using MR findings and texture analysis (ID 423)
Abstract
Purpose
To investigate the usefulness of MR findings and texture analysis for predicting the malignant potential of pancreatic intraductal papillary neoplasms (IPMNs).
Material and methods
248 patients with surgically confirmed IPMNs (106 high grade (HG; invasive carcinoma and high-grade dysplasia) and 142 low grade (LG; low/intermediate-grade dysplasia)) and who underwent preoperative MRI with MRCP were included. MR findings suggestive of high-risk stigmata or worrisome features based on the international consensus Fukuoka guidelines 2017 were analyzed. Quantitative features were extracted using texture analysis of T2-weighted MRCP. Multivariate analysis was used to identify independent predictors for HG IPMNs. Diagnostic performance was also analyzed using receiver operating curve analysis.
Results
Among MR findings, enhancing mural nodules ≥5mm, main pancreatic ductal (MPD) dilatation ≥10mm, and abrupt change of MPD with upstream parenchymal atrophy were significant predictors for HG IPMNs (all Ps <0.05). Among texture variables, the significant predictors for HG IPMNs were lower sphericity (P=0.004) and lower compactness (P<0.001). At multivariate analysis, enhancing mural nodule ≥5mm (odds ratios (ORs), 7.97; 95% confidence interval (CI), 4.10-15.52; P<0.001), MPD dilatation ≥10mm (OR, 2.59; 95% CI, 1.16-5.79; P=0.021) and lower compactness on texture analysis (OR, 0.81; 95 % CI, 0.67-0.98; P=0.032) were significant factors for predicting HG IPMNs. Addition of texture variable to MR findings showed better diagnostic performance for predicting HG IPMNs than using MR findings only (AUC, 0.83 vs. 0.79, P=0.008).
Conclusion
MRCP-derived texture features are useful for predicting malignant potential of IPMNs and addition of texture analysis to MRI features may improve diagnostic performance for predicting HG IPMNs.
Video-on-demand
Presenter of 1 Presentation
SS 5.5 - Assessment of malignant potential in intraductal papillary mucinous neoplasms of the pancreas using MR findings and texture analysis (ID 423)
Abstract
Purpose
To investigate the usefulness of MR findings and texture analysis for predicting the malignant potential of pancreatic intraductal papillary neoplasms (IPMNs).
Material and methods
248 patients with surgically confirmed IPMNs (106 high grade (HG; invasive carcinoma and high-grade dysplasia) and 142 low grade (LG; low/intermediate-grade dysplasia)) and who underwent preoperative MRI with MRCP were included. MR findings suggestive of high-risk stigmata or worrisome features based on the international consensus Fukuoka guidelines 2017 were analyzed. Quantitative features were extracted using texture analysis of T2-weighted MRCP. Multivariate analysis was used to identify independent predictors for HG IPMNs. Diagnostic performance was also analyzed using receiver operating curve analysis.
Results
Among MR findings, enhancing mural nodules ≥5mm, main pancreatic ductal (MPD) dilatation ≥10mm, and abrupt change of MPD with upstream parenchymal atrophy were significant predictors for HG IPMNs (all Ps <0.05). Among texture variables, the significant predictors for HG IPMNs were lower sphericity (P=0.004) and lower compactness (P<0.001). At multivariate analysis, enhancing mural nodule ≥5mm (odds ratios (ORs), 7.97; 95% confidence interval (CI), 4.10-15.52; P<0.001), MPD dilatation ≥10mm (OR, 2.59; 95% CI, 1.16-5.79; P=0.021) and lower compactness on texture analysis (OR, 0.81; 95 % CI, 0.67-0.98; P=0.032) were significant factors for predicting HG IPMNs. Addition of texture variable to MR findings showed better diagnostic performance for predicting HG IPMNs than using MR findings only (AUC, 0.83 vs. 0.79, P=0.008).
Conclusion
MRCP-derived texture features are useful for predicting malignant potential of IPMNs and addition of texture analysis to MRI features may improve diagnostic performance for predicting HG IPMNs.