2022
MR Imaging Biomarkers for the Prediction of Outcome after Radiofrequency Ablation of Hepatocellular Carcinoma: Qualitative and Quantitative Assessments of the Liver Imaging Reporting and Data System and Radiomic Features
Petukhova-Greenstein A, Zeevi T, Yang J, Chai N, DiDomenico P, Deng Y, Ciarleglio M, Haider SP, Onyiuke I, Malpani R, Lin M, Kucukkaya AS, Gottwald LA, Gebauer B, Revzin M, Onofrey J, Staib L, Gunabushanam G, Taddei T, Chapiro J. MR Imaging Biomarkers for the Prediction of Outcome after Radiofrequency Ablation of Hepatocellular Carcinoma: Qualitative and Quantitative Assessments of the Liver Imaging Reporting and Data System and Radiomic Features. Journal Of Vascular And Interventional Radiology 2022, 33: 814-824.e3. PMID: 35460887, PMCID: PMC9335926, DOI: 10.1016/j.jvir.2022.04.006.Peer-Reviewed Original ResearchMeSH KeywordsBiomarkersCarcinoma, HepatocellularCatheter AblationContrast MediaHumansLiver NeoplasmsMagnetic Resonance ImagingRetrospective StudiesConceptsProgression-free survivalPoor progression-free survivalLiver Imaging ReportingHepatocellular carcinomaMR imaging biomarkersRadiomics signatureRadiofrequency ablationRadiomic featuresImaging biomarkersImaging ReportingFirst follow-up imagingMedian progression-free survivalRF ablationEarly-stage hepatocellular carcinomaPretreatment magnetic resonanceFirst-line treatmentMultifocal hepatocellular carcinomaSelection operator Cox regression modelTherapy-naïve patientsEarly-stage diseaseKaplan-Meier analysisCox regression modelLog-rank testFollow-up imagingPrediction of outcomeOptimization of the BCLC Staging System for Locoregional Therapy for Hepatocellular Carcinoma by Using Quantitative Tumor Burden Imaging Biomarkers at MRI.
Borde T, Nezami N, Laage Gaupp F, Savic LJ, Taddei T, Jaffe A, Strazzabosco M, Lin M, Duran R, Georgiades C, Hong K, Chapiro J. Optimization of the BCLC Staging System for Locoregional Therapy for Hepatocellular Carcinoma by Using Quantitative Tumor Burden Imaging Biomarkers at MRI. Radiology 2022, 304: 228-237. PMID: 35412368, PMCID: PMC9270683, DOI: 10.1148/radiol.212426.Peer-Reviewed Original ResearchConceptsMedian overall survivalAdvanced-stage hepatocellular carcinomaTransarterial chemoembolizationHepatocellular carcinomaBCLC BBCLC COverall survivalTumor burdenBarcelona Clinic Liver Cancer (BCLC) staging systemLiver Cancer staging systemCancer (AJCC) staging systemConventional transarterial chemoembolizationDrug-eluting beadsAllocation of patientsContrast-enhanced MRIBackground PatientsSurvival benefitRetrospective studyStaging systemC tumorsTumor volumePatientsHeterogeneous patientsMonthsChemoembolization
2017
Identifying barriers to hepatocellular carcinoma surveillance in a national sample of patients with cirrhosis
Goldberg DS, Taddei TH, Serper M, Mehta R, Dieperink E, Aytaman A, Baytarian M, Fox R, Hunt K, Pedrosa M, Pocha C, Valderrama A, Kaplan DE. Identifying barriers to hepatocellular carcinoma surveillance in a national sample of patients with cirrhosis. Hepatology 2017, 65: 864-874. PMID: 27531119, DOI: 10.1002/hep.28765.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAgedCarcinoma, HepatocellularCohort StudiesEarly Detection of CancerFemaleHumansLinear ModelsLiver CirrhosisLiver NeoplasmsMagnetic Resonance ImagingMaleMiddle AgedMultimodal ImagingPopulation SurveillancePrevalenceProportional Hazards ModelsRisk AssessmentSeverity of Illness IndexSex FactorsTomography, X-Ray ComputedUltrasonography, DopplerUnited StatesUnited States Department of Veterans AffairsConceptsHCC surveillanceHepatocellular carcinomaPatients 75 yearsHepatocellular carcinoma surveillancePrimary care physiciansHigh-risk populationVeterans Health AdministrationOverall health care systemVeterans Administration CenterHealth care systemAbdominal ultrasoundCirrhosis patientsPrimary outcomeCare physiciansInverse associationCirrhosis diagnosisLeading causeOdds ratioPercentage of timeSurveillance ratesNumber of visitsHealth AdministrationPatientsCirrhosisCare system