2024
Deep-Transfer-Learning–Based Natural Language Processing of Serial Free-Text Computed Tomography Reports for Predicting Survival of Patients With Pancreatic Cancer
Kim S, Kim S, Kim E, Cecchini M, Park M, Choi J, Kim S, Hwang H, Kang C, Choi H, Shin S, Kang J, Lee C. Deep-Transfer-Learning–Based Natural Language Processing of Serial Free-Text Computed Tomography Reports for Predicting Survival of Patients With Pancreatic Cancer. JCO Clinical Cancer Informatics 2024, 8: e2400021. PMID: 39151114, DOI: 10.1200/cci.24.00021.Peer-Reviewed Original ResearchMeSH KeywordsAgedDeep LearningFemaleHumansMaleMiddle AgedNatural Language ProcessingPancreatic NeoplasmsPrognosisRetrospective StudiesROC CurveTomography, X-Ray ComputedConceptsArea under the receiver operating characteristic curveSurvival of patientsCT reportsPancreatic cancerNatural language processingC-indexPredicting survivalOverall survival of patientsTertiary hospitalPredicting 1-year survivalPredicting survival of patientsImproved C-indexSurvival informationPancreatic cancer survivalReceiver operating characteristic curveInternal test data setNLP modelsComputed tomography reportsLanguage processingKorean tertiary hospitalOverall survivalConsecutive patientsActual survivalConcordance indexPatients
2021
Can a simplified CT response criteria for vascular involvement in pancreatic adenocarcinoma after neoadjuvant therapy predict survival in patients who achieved subsequent R0 resection?
Guo Y, Czeyda-Pommersheim F, Miccio JA, Mahalingam S, Cecchini M, Pahade J. Can a simplified CT response criteria for vascular involvement in pancreatic adenocarcinoma after neoadjuvant therapy predict survival in patients who achieved subsequent R0 resection? Abdominal Radiology 2021, 46: 5609-5617. PMID: 34557934, DOI: 10.1007/s00261-021-03284-5.Peer-Reviewed Original ResearchMeSH KeywordsAdenocarcinomaHumansMaleMiddle AgedNeoadjuvant TherapyPancreatic NeoplasmsRetrospective StudiesTomography, X-Ray ComputedConceptsSubsequent R0 resectionOverall survivalR0 resectionNeoadjuvant therapyPancreatic ductal adenocarcinomaImaging responseMultivariable Cox proportional hazards analysisCox proportional hazards analysisPostoperative CA19-9Median overall survivalImproved diseaseProportional hazards analysisKaplan-Meier analysisSimilar diseasesPatient ageVascular involvementClinical stagingMethodsRetrospective analysisPredict SurvivalClinical parametersPDAC patientsCA 19CA19-9Mean ageCancer patients