Predictive value of 0.35 T magnetic resonance imaging radiomic features in stereotactic ablative body radiotherapy of pancreatic cancer: A pilot study

Keyphrases

• Pancreatic Cancer 100%
• Predictive Value 100%
• Magnetic Resonance Imaging 100%
• Radiomics 100%
• Stereotactic Ablative Radiotherapy 100%
• Area under the Curve 60%
• Stereotactic Body Radiotherapy 60%
• Feature Extracting 60%
• Confidence Interval 40%
• Response to Treatment 40%
• Pancreatic Ductal Adenocarcinoma 40%
• Random Forest 40%
• Field Strength 40%
• Predictive Features 40%
• Least Absolute Shrinkage and Selection Operator (LASSO) 40%
• Low Field 40%
• MR-guided 40%
• Gross Tumor Volume 20%
• Treatment Response 20%
• Neoadjuvant Chemotherapy 20%
• Tumor Regression 20%
• Metastatic Pancreatic Ductal Adenocarcinoma 20%
• Radiotherapy 20%
• Radiation Dose 20%
• Dose-ranging 20%
• Treatment Course 20%
• Classification Model 20%
• Predictive Ability 20%
• Tumor Response 20%
• Receiver Operating Characteristic 20%
• Tumor Heterogeneity 20%
• Patient Support 20%
• Leave-one-out 20%
• Predictive Information 20%
• Characteristic Area 20%
• Random Forest Method 20%
• Unresected 20%
• Forest-based 20%
• Gray Variance 20%
• Predicting Treatment Response 20%
• Dynamic Contrast-enhanced Computed Tomography 20%
• Feature Select 20%
• GLSZM 20%
• Radiomics Analysis 20%

Medicine and Dentistry

• Radiation Therapy 100%
• Pancreas Cancer 100%
• Magnetic Resonance Imaging 100%
• Radiomics 100%
• Stereotactic Body Radiation Therapy 50%
• Pancreas Adenocarcinoma 50%
• Neoplasm 33%
• Treatment Response 33%
• Histopathology 16%
• Neoadjuvant Chemotherapy 16%
• Computer Assisted Tomography 16%
• Tumor Regression 16%
• Tumour Heterogeneity 16%
• Cross-Validation 16%