Quantitative Computed Tomography Image Analysis to Predict Pancreatic Neuroendocrine Tumor Grade.
Pulvirenti A, Yamashita R, Chakraborty J, Horvat N, Seier K, McIntyre C, Lawrence S, Midya A, Koszalka M, Gonen M, Klimstra D, Reidy D, Allen P, Do R, Simpson A. Quantitative Computed Tomography Image Analysis to Predict Pancreatic Neuroendocrine Tumor Grade. JCO Clinical Cancer Informatics 2021, 5: 679-694. PMID: 34138636, PMCID: PMC8462651, DOI: 10.1200/cci.20.00121.Peer-Reviewed Original ResearchConceptsTumor gradePanNET gradeCT scanComputed tomographyManagement of pancreatic neuroendocrine tumorsPancreatic neuroendocrine tumor gradesRadiographic descriptorsArterial phase CT scansNeuroendocrine tumor gradingTumor grade assessmentPancreatic neuroendocrine tumorsQuantitative image analysisComputed tomography image analysisResected PanNETsGrade tumorsNeuroendocrine tumorsPrimary tumorInstitutional databaseProspective studyTherapeutic managementUnivariate analysisPanNETsTreatment selectionRadiomic featuresTumor
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