2024
Artificial Intelligence–Driven Patient Selection for Preoperative Portal Vein Embolization for Patients with Colorectal Cancer Liver Metastases
Kuhn T, Engelhardt W, Kahl V, Alkukhun A, Gross M, Iseke S, Onofrey J, Covey A, Camacho J, Kawaguchi Y, Hasegawa K, Odisio B, Vauthey J, Antoch G, Chapiro J, Madoff D. Artificial Intelligence–Driven Patient Selection for Preoperative Portal Vein Embolization for Patients with Colorectal Cancer Liver Metastases. Journal Of Vascular And Interventional Radiology 2024, 36: 477-488. PMID: 39638087, DOI: 10.1016/j.jvir.2024.11.025.Peer-Reviewed Original ResearchTotal liver volumeMetastatic colorectal cancer patientsPreoperative portal vein embolizationColorectal cancer liver metastasesPortal vein embolizationCancer liver metastasesMulticenter retrospective studyColorectal cancer patientsStudent's t-testBoard-certified radiologistsVein embolizationConsecutive patientsLiver metastasesLiver volumePatient selectionRetrospective studyCancer patientsRadiomic featuresInclusion criteriaPatientsSemi-automatic segmentationLab valuesT-testSDAUC
2021
Linking the Paul Coverdell National Acute Stroke Program to commercial claims to establish a framework for real-world longitudinal stroke research
Patorno E, Schneeweiss S, George M, Tong X, Franklin J, Pawar A, Mogun H, Moura L, Schwamm L. Linking the Paul Coverdell National Acute Stroke Program to commercial claims to establish a framework for real-world longitudinal stroke research. Stroke And Vascular Neurology 2021, 7: 114-123. PMID: 34750282, PMCID: PMC9067267, DOI: 10.1136/svn-2021-001134.Peer-Reviewed Original ResearchConceptsPaul Coverdell National Acute Stroke ProgramAcute Stroke ProgramClaims dataStroke ProgramStroke severityMedication useMedical historyReal-world patientsCare of patientsCommercial claims dataLongitudinal claims dataMedication utilisationStroke hospitalisationsStroke admissionsMost patientsCommercial ClaimsInpatient dataStroke researchDischarge usePatientsHigh quality linkageUnlinked patientsLab valuesStroke
2017
Approaches to Predicting Outcomes in Patients with Acute Kidney Injury
Saly D, Yang A, Triebwasser C, Oh J, Sun Q, Testani J, Parikh CR, Bia J, Biswas A, Stetson C, Chaisanguanthum K, Wilson FP. Approaches to Predicting Outcomes in Patients with Acute Kidney Injury. PLOS ONE 2017, 12: e0169305. PMID: 28122032, PMCID: PMC5266278, DOI: 10.1371/journal.pone.0169305.Peer-Reviewed Original ResearchConceptsAcute kidney injuryLength of stayKidney injuryReceiver operator characteristic curveOutcomes of interestOperator characteristic curveValidation cohortClinical eventsAccurate prognosticationOutcome eventsPredicting OutcomePrognostic modelDeath predictionLab valuesCharacteristic curveGood discrimination abilityPatientsStayInjuryDialysisModel discriminationOutcomesDaysMedicationsMorbidity
2015
Pretreatment lab values to predict overall survival in patients with primary unresectable pancreatic adenocarcinoma treated with SBRT.
Alagappan M, Pollom E, von Eyben R, Kunz P, Fisher G, Ford J, Poultsides G, Visser B, Norton J, Kamaya A, Columbo L, Koong A, Chang D. Pretreatment lab values to predict overall survival in patients with primary unresectable pancreatic adenocarcinoma treated with SBRT. Journal Of Clinical Oncology 2015, 33: 433-433. DOI: 10.1200/jco.2015.33.3_suppl.433.Peer-Reviewed Original ResearchUnresectable pancreatic adenocarcinomaStereotactic body radiotherapyHigh NL ratioPrior radiation therapyOverall survivalBlood cell countStart of treatmentPancreatic adenocarcinomaTumor marker valuesNL ratioResectable diseaseEntire cohortCA 19Univariate analysisRadiation therapyCell countWhite blood cell countTumor marker CA 19Marker valuesLab valuesBorderline resectable diseasePre-treatment CEAMedian overall survivalAbsolute lymphocyte countAbsolute neutrophil count
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