Improving CT prediction of treatment response in patients with metastatic colorectal carcinoma using statistical learning

Keyphrases

• Response Evaluation Criteria in Solid Tumors (RECIST) 100%
• Statistical Learning 100%
• Metastatic Colorectal Cancer (mCRC) 100%
• Treatment Response Prediction 100%
• Statistical Learning Theory 100%
• Computerized Tomography 100%
• Radiologists 50%
• MRI Scan 50%
• Response to Therapy 50%
• Scoring Method 50%
• World Health Organization 50%
• Radiograph 50%
• Computed Tomography 50%
• Treatment Response 50%
• Patient Treatment 50%
• Feature Vector 50%
• Tumor Heterogeneity 50%

Nursing and Health Professions

• Computer Assisted Tomography 100%
• Treatment Response 100%
• Colorectal Carcinoma 100%
• Cancer Staging 66%
• Learning Theory 66%
• Nuclear Magnetic Resonance Imaging 33%
• Radiologist 33%
• Malignant Neoplasm 33%
• Neoplasm 33%
• World Health Organization 33%
• Imaging 33%
• Biological Marker 33%

Pharmacology, Toxicology and Pharmaceutical Science

• Cancer Staging 100%
• Colorectal Carcinoma 100%
• Malignant Neoplasm 50%
• Neoplasm 50%
• Biological Marker 50%