2022
Machine Learning Models for Prediction of Posttreatment Recurrence in Early-Stage Hepatocellular Carcinoma Using Pretreatment Clinical and MRI Features: A Proof-of-Concept Study.
Iseke S, Zeevi T, Kucukkaya AS, Raju R, Gross M, Haider SP, Petukhova-Greenstein A, Kuhn TN, Lin M, Nowak M, Cooper K, Thomas E, Weber MA, Madoff DC, Staib L, Batra R, Chapiro J. Machine Learning Models for Prediction of Posttreatment Recurrence in Early-Stage Hepatocellular Carcinoma Using Pretreatment Clinical and MRI Features: A Proof-of-Concept Study. American Journal Of Roentgenology 2022, 220: 245-255. PMID: 35975886, PMCID: PMC10015590, DOI: 10.2214/ajr.22.28077.Peer-Reviewed Original ResearchConceptsEarly-stage hepatocellular carcinomaLiver transplantHepatocellular carcinomaImaging featuresPosttreatment recurrenceOrgan allocationMean AUCLiver transplant eligibilityPretreatment clinical characteristicsPretreatment MRI examinationsKaplan-Meier analysisKaplan-Meier curvesClinical characteristicsImaging surveillanceTherapy allocationTransplant eligibilityUnderwent treatmentClinical parametersRetrospective studyUnpredictable complicationMRI dataConcept studyPoor survivalClinical impactPretreatment MRI
2015
The clinical impact of gynecologic MRI.
Ratner ES, Staib LH, Cross SN, Raji R, Schwartz PE, McCarthy SM. The clinical impact of gynecologic MRI. American Journal Of Roentgenology 2015, 204: 674-80. PMID: 25714302, DOI: 10.2214/ajr.14.12567.Peer-Reviewed Original ResearchConceptsPelvic MRIFirst modalityClinical managementClinical impactGynecologic massesIndeterminate pelvic massesGroup of patientsResults of MRIRadiologic recordsRadiologic findingsPelvic massClinical recordsUnnecessary surgeryMedical recordsCT examinationsFurther endpointsExact diagnosisPatientsSurgeryIndeterminate massesPatient treatmentMRIDiagnosisModalitiesResultant anxiety