Radiomics machine learning algorithm facilitates detection of small pancreatic neuroendocrine tumors on CT - Lopez-Ramirez, Felipe; Soleimani, Sahar; Azadi, Javad R.; Sheth, Sheila; Kawamoto, Satomi; Javed, Ammar A.; Tixier, Florent; Hruban, Ralph H.; Fishman, Elliot K.; Chu, Linda C. (Diagnostic and interventional imaging, 2025)
Keywords: Adult; Aged; Aged, 80 and over; Algorithms; Artificial intelligence; Automated screening; Computed tomography; Female; Humans; Machine Learning; Male; Middle Aged; Neuroendocrine Tumors - diagnostic imaging; Neuroendocrine Tumors - pathology; Pancreatic Neoplasms - diagnostic imaging; Pancreatic Neoplasms - pathology; Pancreatic neuroendocrine tumors; Radiographic Image Interpretation, Computer-Assisted - methods; Radiology; Radiomics; Retrospective Studies; Sensitivity and Specificity; Tomography, X-Ray Computed - methods; Young Adult; CCC; CI; Automated screening; HU; PanNET; Radiomics; AUC; CT; SD; Computed tomography; AJCC; Pancreatic neuroendocrine tumors; mRMR; HIPPA; Artificial intelligence; Hounsfield unit; Concordance correlation coefficient; Minimum-redundancy maximum-relevance; Confidence interval; Pancreatic neuroendocrine tumor; Area under the receiver operating characteristic curve; American Joint Committee on Cancer; Standard deviation; Health Insurance Portability and Accountability Act