2024
Effect of Incomplete Cryoablation and Matrix Metalloproteinase Inhibition on Intratumoral CD8+ T-Cell Infiltration in Murine Hepatocellular Carcinoma.
Shewarega A, Santana J, Nam D, Berz A, Tefera J, Kahl V, Mishra S, Coman D, Duncan J, Roberts S, Wetter A, Madoff D, Chapiro J. Effect of Incomplete Cryoablation and Matrix Metalloproteinase Inhibition on Intratumoral CD8+ T-Cell Infiltration in Murine Hepatocellular Carcinoma. Radiology 2024, 310: e232365. PMID: 38349244, PMCID: PMC10902598, DOI: 10.1148/radiol.232365.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsCarcinoma, HepatocellularCD8-Positive T-LymphocytesCryosurgeryFemaleLiver NeoplasmsMatrix Metalloproteinase InhibitorsMatrix MetalloproteinasesMiceConceptsT cell infiltrationCD8<sup>+</sup> T cellsMatrix metalloproteinase inhibitionT cellsHepatocellular carcinomaMatrix metalloproteinase inhibitorsMatrix metalloproteinasesResidual tumorCXCR3<sup>+</sup> CD8<sup>+</sup> T cellsCytotoxic CD8<sup>+</sup> T cell infiltrationIntratumoral CD8+ T cell infiltrationCD8+ T cell infiltrationCD8<sup>+</sup> T cell infiltrationMouse model of hepatocellular carcinomaEarly-stage hepatocellular carcinomaImage-guided tumor ablationUnpaired Student's <i>t</i> testModel of hepatocellular carcinomaFirst-line therapyMurine hepatocellular carcinomaT cell subsetsTumor-associated macrophagesMurine HCC modelLocal immune responseFemale BALB/c mice
2023
Consensus report from the 10th Global Forum for Liver Magnetic Resonance Imaging: developments in HCC management
Taouli B, Ba-Ssalamah A, Chapiro J, Chhatwal J, Fowler K, Kang T, Knobloch G, Koh D, Kudo M, Lee J, Murakami T, Pinato D, Ringe K, Song B, Tabrizian P, Wang J, Yoon J, Zeng M, Zhou J, Vilgrain V. Consensus report from the 10th Global Forum for Liver Magnetic Resonance Imaging: developments in HCC management. European Radiology 2023, 33: 9152-9166. PMID: 37500964, PMCID: PMC10730664, DOI: 10.1007/s00330-023-09928-y.Peer-Reviewed Original ResearchConceptsGadoxetic acid-enhanced magnetic resonance imagingLiver magnetic resonance imagingMagnetic resonance imagingHCC managementResonance imagingOutcome of HCCScreening/surveillanceLiver cancer screeningPrediction of prognosisWestern guidelinesCancer screeningLiver surgeonsLiver surgeryConsensus statementHCC screeningTreatment responseConsensus reportLiver cancerInterventional radiologistsClinical relevanceClinical practiceGadoxetic acidEmerging DataHCCDiagnosisConsensus report from the 10th global forum for liver magnetic resonance imaging: multidisciplinary team discussion
Taouli B, Ba-Ssalamah A, Chapiro J, Chhatwal J, Fowler K, Kang T, Knobloch G, Koh D, Kudo M, Lee J, Murakami T, Pinato D, Ringe K, Song B, Tabrizian P, Wang J, Yoon J, Zeng M, Zhou J, Vilgrain V. Consensus report from the 10th global forum for liver magnetic resonance imaging: multidisciplinary team discussion. European Radiology 2023, 33: 9167-9181. PMID: 37439935, PMCID: PMC10667403, DOI: 10.1007/s00330-023-09919-z.Peer-Reviewed Original ResearchMeSH KeywordsCarcinoma, HepatocellularConsensusContrast MediaGadolinium DTPAHumansLiver NeoplasmsMagnetic Resonance ImagingMagnetic Resonance SpectroscopyPatient Care TeamConceptsLiver magnetic resonance imagingLiver surgeonsMagnetic resonance imagingHCC managementInterventional radiologistsResonance imagingLate-stage HCCMultidisciplinary team discussionMultidisciplinary tumor boardMultidisciplinary team approachHepatocellular carcinoma managementLiver cancer patientsCancer patientsTumor boardConsensus reportClinical relevanceTeam approachMultidisciplinary expertsOncologistsSurgeonsTeam discussionRadiologistsImagingMultidisciplinary facultyManagementPredicting tumor recurrence on baseline MR imaging in patients with early-stage hepatocellular carcinoma using deep machine learning
Kucukkaya A, Zeevi T, Chai N, Raju R, Haider S, Elbanan M, Petukhova-Greenstein A, Lin M, Onofrey J, Nowak M, Cooper K, Thomas E, Santana J, Gebauer B, Mulligan D, Staib L, Batra R, Chapiro J. Predicting tumor recurrence on baseline MR imaging in patients with early-stage hepatocellular carcinoma using deep machine learning. Scientific Reports 2023, 13: 7579. PMID: 37165035, PMCID: PMC10172370, DOI: 10.1038/s41598-023-34439-7.Peer-Reviewed Original ResearchMeSH KeywordsCarcinoma, HepatocellularHumansLiver NeoplasmsMachine LearningMagnetic Resonance ImagingNeoplasm Recurrence, LocalRetrospective Studies
2022
Experimental VX2 Rabbit Liver Tumor Model in Carbon Tetrachloride–Induced Cirrhosis of the Liver
Santana J, Shewarega A, Nam D, Kahl V, Madoff D, Zhang X, Chapiro J. Experimental VX2 Rabbit Liver Tumor Model in Carbon Tetrachloride–Induced Cirrhosis of the Liver. Journal Of Vascular And Interventional Radiology 2022, 34: 404-408.e1. PMID: 36473611, PMCID: PMC11037556, DOI: 10.1016/j.jvir.2022.11.026.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsCarbon TetrachlorideCarcinoma, HepatocellularLiverLiver CirrhosisLiver Cirrhosis, ExperimentalLiver NeoplasmsLiver Neoplasms, ExperimentalMaleRabbitsConceptsLiver cirrhosisMale New Zealand white rabbitsRabbit liver tumor modelCirrhotic liver backgroundReproducible tumor growthVX2 liver cancerLeft hepatic lobeNew Zealand white rabbitsDuration of treatmentLiver tumor modelCross-sectional imagingVX2 rabbit liver tumor modelZealand white rabbitsHepatic lobeHistopathological evaluationMajor underlying factorHepatic tumorsIntragastric administrationHepatocellular carcinomaLiver tumorsLiver cancerCirrhosisUnmet needTumor growthVX2 tumorsDefining textbook outcome for selective internal radiation therapy of hepatocellular carcinoma: an international expert study
Gregory J, Tselikas L, Allimant C, de Baere T, Bargellini I, Bell J, Bilbao JI, Bouvier A, Chapiro J, Chiesa C, Decaens T, Denys A, Duran R, Edeline J, Garin E, Ghelfi J, Helmberger T, Irani F, Lam M, Lewandowski R, Liu D, Loffroy R, Madoff DC, Mastier C, Salem R, Sangro B, Sze D, Vilgrain V, Vouche M, Guiu B, Ronot M. Defining textbook outcome for selective internal radiation therapy of hepatocellular carcinoma: an international expert study. European Journal Of Nuclear Medicine And Molecular Imaging 2022, 50: 921-928. PMID: 36282299, DOI: 10.1007/s00259-022-06002-5.Peer-Reviewed Original ResearchConceptsSelective internal radiation therapyTextbook outcomeInternal radiation therapyHepatocellular carcinomaRadiation therapyPatient-important outcomesLarge observational studiesNuclear medicine physiciansEntire intervention processRandomized trialsRoutine careResultsA totalObservational studyMultistep interventionMedicine physiciansInterventional radiologistsSenior authorClinical roundsCarcinomaTherapyInterventionOutcomesMachine 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 ResearchMeSH KeywordsCarcinoma, HepatocellularFemaleHumansLiver NeoplasmsMagnetic Resonance ImagingMaleMiddle AgedNeoplasm Recurrence, LocalRetrospective StudiesRisk FactorsConceptsEarly-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 MRIResponse assessment methods for patients with hepatic metastasis from rare tumor primaries undergoing transarterial chemoembolization
Adam LC, Savic LJ, Chapiro J, Letzen B, Lin M, Georgiades C, Hong KK, Nezami N. Response assessment methods for patients with hepatic metastasis from rare tumor primaries undergoing transarterial chemoembolization. Clinical Imaging 2022, 89: 112-119. PMID: 35777239, PMCID: PMC9470015, DOI: 10.1016/j.clinimag.2022.06.013.Peer-Reviewed Original ResearchMeSH KeywordsCarcinoma, HepatocellularChemoembolization, TherapeuticEthiodized OilHumansLiver NeoplasmsRetrospective StudiesTreatment OutcomeConceptsConventional transarterial chemoembolizationLipiodol depositionHepatic metastasesResponse assessment methodsPartial responseTransarterial chemoembolizationResponse assessmentTumor primaryStratification of responseRare primary tumorResponse Evaluation CriteriaRetrospective bicentric studyAssessment of responseQuantitative European AssociationLiver metastasesMajor complicationsBicentric studyPrimary tumorRare tumorEarly surrogateTreatment responseCT scanPatientsRECISTSolid tumorsMR 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 patientsMonthsChemoembolizationTranslating artificial intelligence from code to bedside: The road towards AI-driven predictive biomarkers for immunotherapy of hepatocellular carcinoma
Chapiro J. Translating artificial intelligence from code to bedside: The road towards AI-driven predictive biomarkers for immunotherapy of hepatocellular carcinoma. Journal Of Hepatology 2022, 77: 6-8. PMID: 35417743, DOI: 10.1016/j.jhep.2022.03.035.Peer-Reviewed Original ResearchMeSH KeywordsArtificial IntelligenceBiomarkersCarcinoma, HepatocellularHumansImmunotherapyLiver NeoplasmsImpact of Chemoembolic Regimen on Immune Cell Recruitment and Immune Checkpoint Marker Expression following Transcatheter Arterial Chemoembolization in a VX2 Rabbit Liver Tumor Model
Berz AM, Santana JG, Iseke S, Gross M, Pekurovsky V, Laage Gaupp F, Savic LJ, Borde T, Gottwald LA, Boustani AM, Gebauer B, Lin M, Zhang X, Schlachter T, Madoff DC, Chapiro J. Impact of Chemoembolic Regimen on Immune Cell Recruitment and Immune Checkpoint Marker Expression following Transcatheter Arterial Chemoembolization in a VX2 Rabbit Liver Tumor Model. Journal Of Vascular And Interventional Radiology 2022, 33: 764-774.e4. PMID: 35346859, PMCID: PMC9344951, DOI: 10.1016/j.jvir.2022.03.026.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsAntibiotics, AntineoplasticBicarbonatesCarcinoma, HepatocellularChemoembolization, TherapeuticDoxorubicinLiver NeoplasmsProgrammed Cell Death 1 ReceptorRabbitsConceptsTranscatheter arterial chemoembolizationCytotoxic T-lymphocyte-associated protein 4Rabbit liver tumor modelConventional TACEImmune checkpoint marker expressionLiver tumor modelVX2 rabbit liver tumor modelArterial chemoembolizationBicarbonate infusionImmune responseDifferentiation 3T-lymphocyte-associated protein 4Conventional transcatheter arterial chemoembolizationTumor modelCell death protein 1Marker expressionIntratumoral T cellsImmune checkpoint markersT cell infiltrationDeath protein 1Antigen-presenting cellsImmune cell recruitmentNew Zealand white rabbitsZealand white rabbitsAPC infiltration
2021
Quantitative Automated Segmentation of Lipiodol Deposits on Cone-Beam CT Imaging Acquired during Transarterial Chemoembolization for Liver Tumors: A Deep Learning Approach
Malpani R, Petty CW, Yang J, Bhatt N, Zeevi T, Chockalingam V, Raju R, Petukhova-Greenstein A, Santana JG, Schlachter TR, Madoff DC, Chapiro J, Duncan J, Lin M. Quantitative Automated Segmentation of Lipiodol Deposits on Cone-Beam CT Imaging Acquired during Transarterial Chemoembolization for Liver Tumors: A Deep Learning Approach. Journal Of Vascular And Interventional Radiology 2021, 33: 324-332.e2. PMID: 34923098, PMCID: PMC8972393, DOI: 10.1016/j.jvir.2021.12.017.Peer-Reviewed Original ResearchMachine Learning–Based Surveillance Strategy after Complete Ablation of Initially Recurrent Hepatocellular Carcinoma: Worth the Risk?
Nam D, Chapiro J. Machine Learning–Based Surveillance Strategy after Complete Ablation of Initially Recurrent Hepatocellular Carcinoma: Worth the Risk? Journal Of Vascular And Interventional Radiology 2021, 32: 1558-1559. PMID: 34717834, DOI: 10.1016/j.jvir.2021.08.014.Peer-Reviewed Original ResearchMeSH KeywordsCarcinoma, HepatocellularCatheter AblationHumansLiver NeoplasmsMachine LearningNeoplasm Recurrence, LocalComparison of metabolic and immunologic responses to transarterial chemoembolization with different chemoembolic regimens in a rabbit VX2 liver tumor model
Doemel LA, Santana JG, Savic LJ, Gaupp FML, Borde T, Petukhova-Greenstein A, Kucukkaya AS, Schobert IT, Hamm CA, Gebauer B, Walsh JJ, Rexha I, Hyder F, Lin M, Madoff DC, Schlachter T, Chapiro J, Coman D. Comparison of metabolic and immunologic responses to transarterial chemoembolization with different chemoembolic regimens in a rabbit VX2 liver tumor model. European Radiology 2021, 32: 2437-2447. PMID: 34718844, PMCID: PMC9359419, DOI: 10.1007/s00330-021-08337-3.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsCarcinoma, HepatocellularChemoembolization, TherapeuticDoxorubicinEthiodized OilLiver NeoplasmsRabbitsTumor MicroenvironmentConceptsDrug-eluting embolicsImmune cell infiltrationAntigen-presenting cellsBicarbonate infusionConventional TACEDEE-TACETransarterial chemotherapyCell infiltrationImmune cellsPeritumoral infiltrationT lymphocytesIntratumoral immune cell infiltrationTumor modelRabbit VX2 liver tumor modelImmunological tumor microenvironmentVX2 liver tumor modelIntra-arterial therapyIntra-arterial treatmentRabbit VX2 tumor modelLiver tumor modelTumor-bearing rabbitsVX2 tumor modelMann-Whitney U testIntratumoral presenceTransarterial chemoembolizationLipiodol Deposition and Washout in Primary and Metastatic Liver Tumors After Chemoembolization
Nezami N, VAN Breugel JMM, Konstantinidis M, Chapiro J, Savic LJ, Miszczuk MA, Rexha I, Lin M, Hong K, Georgiades C. Lipiodol Deposition and Washout in Primary and Metastatic Liver Tumors After Chemoembolization. In Vivo 2021, 35: 3261-3270. PMID: 34697157, PMCID: PMC8627740, DOI: 10.21873/invivo.12621.Peer-Reviewed Original ResearchMeSH KeywordsCarcinoma, HepatocellularChemoembolization, TherapeuticEthiodized OilHumansLiver NeoplasmsRetrospective StudiesConceptsConventional trans-arterial chemoembolizationTrans-arterial chemoembolizationNeuroendocrine tumorsColorectal carcinomaIntrahepatic cholangiocarcinomaLipiodol depositionWashout rateContrast-enhanced magnetic resonanceMetastatic liver tumorsColorectal carcinoma tumorsLiver metastasesHepatic metastasesTumor responseTarget lesionsRetrospective analysisLiver tumorsSmall tumorsChemoembolizationCarcinoma tumorsTumorsExponential washoutCarcinomaTomography imagingWashoutCholangiocarcinomaIdentifying enhancement-based staging markers on baseline MRI in patients with colorectal cancer liver metastases undergoing intra-arterial tumor therapy
Ghani MA, Fereydooni A, Chen E, Letzen B, Laage-Gaupp F, Nezami N, Deng Y, Gan G, Thakur V, Lin M, Papademetris X, Schernthaner RE, Huber S, Chapiro J, Hong K, Georgiades C. Identifying enhancement-based staging markers on baseline MRI in patients with colorectal cancer liver metastases undergoing intra-arterial tumor therapy. European Radiology 2021, 31: 8858-8867. PMID: 34061209, PMCID: PMC8848338, DOI: 10.1007/s00330-021-08058-7.Peer-Reviewed Original ResearchMeSH KeywordsBiomarkersCarcinoma, HepatocellularChemoembolization, TherapeuticColorectal NeoplasmsHumansLiver NeoplasmsMagnetic Resonance ImagingRetrospective StudiesTumor BurdenConceptsColorectal cancer liver metastasesCancer liver metastasesTotal tumor volumeIntra-arterial therapyTotal liver volumeLiver metastasesTumor volumeTumor burdenTumor diameterPatient survivalBaseline MRILiver volumeMultivariable Cox proportional hazards modelsKaplan-Meier survival curvesWhole liverCox proportional hazards modelKaplan-Meier methodPrognostic staging systemSurvival of patientsColorectal cancer metastasisMethodsThis retrospective studyPre-treatment MRIProportional hazards modelAppropriate cutoff valueHR 1.7Lipiodol as an intra-procedural imaging biomarker for liver tumor response to transarterial chemoembolization: Post-hoc analysis of a prospective clinical trial
Letzen BS, Malpani R, Miszczuk M, de Ruiter QMB, Petty CW, Rexha I, Nezami N, Laage-Gaupp F, Lin M, Schlachter TR, Chapiro J. Lipiodol as an intra-procedural imaging biomarker for liver tumor response to transarterial chemoembolization: Post-hoc analysis of a prospective clinical trial. Clinical Imaging 2021, 78: 194-200. PMID: 34022765, PMCID: PMC8364875, DOI: 10.1016/j.clinimag.2021.05.007.Peer-Reviewed Original ResearchMeSH KeywordsBiomarkersCarcinoma, HepatocellularChemoembolization, TherapeuticEthiodized OilHumansLiver NeoplasmsProspective StudiesRetrospective StudiesTreatment OutcomeConceptsConventional trans-arterial chemoembolizationMedian overall survivalProspective clinical trialsLipiodol depositionTumor responsePredictive biomarkersClinical trialsModified Response Evaluation CriteriaPost-TACE CTResponse Evaluation CriteriaMetastatic liver cancerKaplan-Meier analysisTrans-arterial chemoembolizationTumor response criteriaLiver tumor responsePrediction of survivalSelective drug targetingArterial embolizationLiver metastasesOverall survivalBland-Altman plotsTransarterial chemoembolizationPortal veinTumor respondersHepatocellular carcinomaAnatomy-guided multimodal registration by learning segmentation without ground truth: Application to intraprocedural CBCT/MR liver segmentation and registration
Zhou B, Augenfeld Z, Chapiro J, Zhou SK, Liu C, Duncan JS. Anatomy-guided multimodal registration by learning segmentation without ground truth: Application to intraprocedural CBCT/MR liver segmentation and registration. Medical Image Analysis 2021, 71: 102041. PMID: 33823397, PMCID: PMC8184611, DOI: 10.1016/j.media.2021.102041.Peer-Reviewed Original ResearchConceptsMultimodal registrationLiver segmentationLarge-scale manual annotationGround truthMultimodal image registrationMultimodal registration methodSegmentation networkDomain adaptationManual annotationSource modalityImage registrationRegistration frameworkSegmentationImage-guided interventionsRegistration methodMedical imagingDiagnostic medical imagingCorrect transformationLimited FOVStructure informationIntraprocedural CBCTImage qualitySegmenterExperimental resultsPatient dataThermal ablation alone vs thermal ablation combined with transarterial chemoembolization for patients with small (<3 cm) hepatocellular carcinoma
Chai NX, Chapiro J, Petukhova A, Gross M, Kucukkaya A, Raju R, Zeevi T, Elbanan M, Lin M, Perez-Lozada JC, Schlachter T, Strazzabosco M, Pollak JS, Madoff DC. Thermal ablation alone vs thermal ablation combined with transarterial chemoembolization for patients with small (<3 cm) hepatocellular carcinoma. Clinical Imaging 2021, 76: 123-129. PMID: 33592550, PMCID: PMC8217099, DOI: 10.1016/j.clinimag.2021.01.043.Peer-Reviewed Original ResearchMeSH KeywordsAgedCarcinoma, HepatocellularChemoembolization, TherapeuticCombined Modality TherapyFemaleHumansLiver NeoplasmsMaleMiddle AgedRetrospective StudiesTreatment OutcomeConceptsOverall survivalTransarterial chemoembolizationHepatocellular carcinomaThermal ablationTA groupEarly-stage hepatocellular carcinomaMedian overall survivalTherapy-naïve patientsKaplan-Meier analysisMaximum tumor diameterStage hepatocellular carcinomaLog-rank testDrug-eluting beadsSmall hepatocellular carcinomaTerms of TTPHIPAA-compliant IRBSignificant differencesLipiodol-TACELocoregional therapyBCLC stageComplication rateTreatment cohortsTumor diameterAFP levelsPatient group