2024
Tumor response assessment in hepatocellular carcinoma treated with immunotherapy: imaging biomarkers for clinical decision-making
Sobirey R, Matuschewski N, Gross M, Lin M, Kao T, Kasolowsky V, Strazzabosco M, Stein S, Savic L, Gebauer B, Jaffe A, Duncan J, Madoff D, Chapiro J. Tumor response assessment in hepatocellular carcinoma treated with immunotherapy: imaging biomarkers for clinical decision-making. European Radiology 2024, 1-11. PMID: 39033181, DOI: 10.1007/s00330-024-10955-6.Peer-Reviewed Original ResearchMedian overall survivalTumor response criteriaTumor response assessmentHepatocellular carcinoma patientsHepatocellular carcinomaTumor responseOverall survivalResponse criteriaResponse assessmentNon-respondersPoorer median overall survivalPrediction of tumor responsePredictive valueHepatocellular carcinoma immunotherapyDisease controlPrognostic of survivalClinical baseline parametersLog-rank testKaplan-Meier curvesMultivariate Cox regressionPredicting overall survivalCox regression modelsSurvival benefitStratify patientsMRI pre-
2023
Intraprocedural C‐arm dual‐phase cone‐beam enhancement patterns correlate with tumor absorbed dose after radioembolization
Bastiaannet R, Lin M, Frey E, de Jong H. Intraprocedural C‐arm dual‐phase cone‐beam enhancement patterns correlate with tumor absorbed dose after radioembolization. Medical Physics 2023, 51: 3045-3052. PMID: 38064591, PMCID: PMC10994751, DOI: 10.1002/mp.16882.Peer-Reviewed Original ResearchContrast-enhanced cone-beam CTHepatocellular carcinomaPET/CT scansNon-tumor liver tissuesPersonalized treatment planningIntra-procedural imagingBlood flow patternsPretreatment tumorRetrospective studyLimits of agreementTumor responseBland-Altman analysisClinical trialsTumor doseCT scanEnhancement patternHepatic vasculatureHCC tumorsCatheter positionTumor tissueLiver tissueTumorsHepatic radioembolizationPatientsDose
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 MRIMR 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 ResearchConceptsProgression-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
2021
Lipiodol 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 ResearchConceptsConventional 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 carcinomaThermal 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 ResearchConceptsOverall 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 groupDeep learning–assisted differentiation of pathologically proven atypical and typical hepatocellular carcinoma (HCC) versus non-HCC on contrast-enhanced MRI of the liver
Oestmann PM, Wang CJ, Savic LJ, Hamm CA, Stark S, Schobert I, Gebauer B, Schlachter T, Lin M, Weinreb JC, Batra R, Mulligan D, Zhang X, Duncan JS, Chapiro J. Deep learning–assisted differentiation of pathologically proven atypical and typical hepatocellular carcinoma (HCC) versus non-HCC on contrast-enhanced MRI of the liver. European Radiology 2021, 31: 4981-4990. PMID: 33409782, PMCID: PMC8222094, DOI: 10.1007/s00330-020-07559-1.Peer-Reviewed Original ResearchConceptsNon-HCC lesionsHepatocellular carcinomaHCC lesionsAtypical imagingGrading systemLI-RADS criteriaAtypical imaging featuresPrimary liver cancerTypical hepatocellular carcinomaAtypical hepatocellular carcinomaContrast-enhanced MRISensitivity/specificityLiver transplantMethodsThis IRBRetrospective studyLiver malignanciesImaging featuresLiver cancerAtypical featuresConclusionThis studyLesionsMRIClinical applicationCarcinomaImage-based diagnosis
2019
Quantitative Imaging Biomarkers for 90Y Distribution on Bremsstrahlung SPECT After Resin-Based Radioembolization
Schobert I, Chapiro J, Nezami N, Hamm CA, Gebauer B, Lin M, Pollak J, Saperstein L, Schlachter T, Savic LJ. Quantitative Imaging Biomarkers for 90Y Distribution on Bremsstrahlung SPECT After Resin-Based Radioembolization. Journal Of Nuclear Medicine 2019, 60: 1066-1072. PMID: 30655331, PMCID: PMC6681698, DOI: 10.2967/jnumed.118.219691.Peer-Reviewed Original ResearchMeSH KeywordsAgedAngiographyBiomarkersCarcinoma, HepatocellularEmbolization, TherapeuticFeasibility StudiesFemaleHumansImaging, Three-DimensionalLiverLiver NeoplasmsMagnetic Resonance ImagingMaleMicrospheresMiddle AgedMultimodal ImagingPrognosisRegression AnalysisRetrospective StudiesTomography, Emission-Computed, Single-PhotonTomography, X-Ray ComputedTreatment OutcomeYttrium RadioisotopesConceptsNon-HCC patientsTransarterial radioembolizationHepatocellular carcinomaBaseline imagingTumor responseTumor volumeChild-Pugh class B patientsBaseline imaging featuresClass B patientsNormal liver ratiosTotal tumor volumeSPECT/CTContrast-enhanced MRIQuantitative European AssociationMultiphasic contrast-enhanced MRIInstitutional review boardHigh TNRPreprocedural MRIChild-PughB patientsLiver criteriaTumor burdenClinical parametersHepatic malignanciesRetrospective study
2018
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma.
Abajian A, Murali N, Savic LJ, Laage-Gaupp FM, Nezami N, Duncan JS, Schlachter T, Lin M, Geschwind JF, Chapiro J. Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma. Journal Of Visualized Experiments 2018 PMID: 30371657, PMCID: PMC6235502, DOI: 10.3791/58382.Peer-Reviewed Original ResearchConceptsIntra-arterial therapyN patientsHepatocellular carcinomaTrans-arterial therapiesIntra-arterial treatmentCohort of patientsStandard of careLikelihood of responseClinical research questionsSurgical resectionNew patientsTreatment responseUnivariate associationsPatientsTraining patientsInterventional radiologyTherapyCarcinomaTreatmentImage-guided therapyOutcomesFinal modelImaging dataResectionResponse
2017
The impact of antiangiogenic therapy combined with Transarterial Chemoembolization on enhancement based quantitative tumor response assessment in patients with hepatocellular carcinoma
Smolka S, Chapiro J, Manzano W, Treilhard J, Reiner E, Deng Y, Zhao Y, Hamm B, Duncan JS, Gebauer B, Lin M, Geschwind JF. The impact of antiangiogenic therapy combined with Transarterial Chemoembolization on enhancement based quantitative tumor response assessment in patients with hepatocellular carcinoma. Clinical Imaging 2017, 46: 1-7. PMID: 28668723, PMCID: PMC5720941, DOI: 10.1016/j.clinimag.2017.05.007.Peer-Reviewed Original ResearchConceptsEarly response assessmentTransarterial chemoembolizationImaging-based criteriaResponse assessmentHepatocellular carcinomaTumor response assessmentAnti-angiogenic therapyQuantitative European AssociationTherapy armOverall survivalLiver criteriaAntiangiogenic therapyTreatment groupsPatientsSimilar associationEuropean AssociationBevacizumabChemoembolizationCarcinomaTherapyAssociationAssessmentFollowCriteriaBaseline
2016
Advanced-stage hepatocellular carcinoma with portal vein thrombosis: conventional versus drug-eluting beads transcatheter arterial chemoembolization
Gorodetski B, Chapiro J, Schernthaner R, Duran R, Lin M, Lee H, Lenis D, Stuart EA, Nonyane BA, Pekurovsky V, Tamrazi A, Gebauer B, Schlachter T, Pawlik TM, Geschwind JF. Advanced-stage hepatocellular carcinoma with portal vein thrombosis: conventional versus drug-eluting beads transcatheter arterial chemoembolization. European Radiology 2016, 27: 526-535. PMID: 27277261, PMCID: PMC5470590, DOI: 10.1007/s00330-016-4445-9.Peer-Reviewed Original ResearchConceptsMedian overall survivalPortal venous thrombosisAdvanced-stage hepatocellular carcinomaConventional TACEDEB-TACEHepatocellular carcinomaOverall survivalAdverse eventsBeads TACEDrug-eluting bead transcatheter arterial chemoembolizationConventional trans-arterial chemoembolizationPropensity scoreDrug-eluting beads TACECommon adverse eventsConclusionOur retrospective studyEqual safety profileChild-Pugh classMethodsThis retrospective analysisPortal vein thrombosisPost-embolization syndromeTranscatheter arterial chemoembolizationStage hepatocellular carcinomaTrans-arterial chemoembolizationSub-group analysisArterial chemoembolization4:03 PMAbstract No. 343 3D quantification of viable tumor volume in patients with hepatocellular carcinoma predicts the hepato-pulmonary shunt fraction before Y90 radioembolization.
Collettini F, Collettini F, DoMing D, David W, Lin M, Geschwind J, Hamm B, Gebauer B, Chapiro J. 4:03 PMAbstract No. 343 3D quantification of viable tumor volume in patients with hepatocellular carcinoma predicts the hepato-pulmonary shunt fraction before Y90 radioembolization. Journal Of Vascular And Interventional Radiology 2016, 27: s155. DOI: 10.1016/j.jvir.2015.12.403.Peer-Reviewed Original ResearchViable tumor volumeY90 radioembolizationShunt fractionHepatocellular carcinomaTumor volumeRadioembolization4:12 PMAbstract No. 77 Does lesion enhancement pattern correlate between baseline MR and follow-up CT in patients with hepatocellular carcinoma (HCC) treated using conventional transarterial chemoembolization (cTACE)? A quantitative, multi-modality analysis
Treilhard J, Smolka S, Manzano W, Chapiro J, Gebauer B, Geschwind J, Duncan J, Lin M. 4:12 PMAbstract No. 77 Does lesion enhancement pattern correlate between baseline MR and follow-up CT in patients with hepatocellular carcinoma (HCC) treated using conventional transarterial chemoembolization (cTACE)? A quantitative, multi-modality analysis. Journal Of Vascular And Interventional Radiology 2016, 27: s39. DOI: 10.1016/j.jvir.2015.12.110.Peer-Reviewed Original Research3D Quantitative tumour burden analysis in patients with hepatocellular carcinoma before TACE: comparing single-lesion vs. multi-lesion imaging biomarkers as predictors of patient survival
Fleckenstein FN, Schernthaner RE, Duran R, Sohn JH, Sahu S, Zhao Y, Hamm B, Gebauer B, Lin M, Geschwind JF, Chapiro J. 3D Quantitative tumour burden analysis in patients with hepatocellular carcinoma before TACE: comparing single-lesion vs. multi-lesion imaging biomarkers as predictors of patient survival. European Radiology 2016, 26: 3243-3252. PMID: 26762942, PMCID: PMC4942412, DOI: 10.1007/s00330-015-4168-3.Peer-Reviewed Original ResearchConceptsHazard ratioOverall survivalTransarterial chemoembolizationBaseline MRIHepatocellular carcinomaTumor burdenDominant lesionTumor assessmentTumor volumeMultivariate cox proportional hazard ratiosCox proportional hazard ratiosCurrent radiological methodMethodsThis retrospective analysisProportional hazard ratiosBCLC staging systemKaplan-Meier plotsTumor diameterPatient survivalStaging systemHCC patientsMultiple lesionsLiver volumeRetrospective analysisLesion assessmentPatients
2015
Intraprocedural 3D Quantification of Lipiodol Deposition on Cone-Beam CT Predicts Tumor Response After Transarterial Chemoembolization in Patients with Hepatocellular Carcinoma
Wang Z, Chen R, Duran R, Zhao Y, Yenokyan G, Chapiro J, Schernthaner R, Radaelli A, Lin M, Geschwind JF. Intraprocedural 3D Quantification of Lipiodol Deposition on Cone-Beam CT Predicts Tumor Response After Transarterial Chemoembolization in Patients with Hepatocellular Carcinoma. CardioVascular And Interventional Radiology 2015, 38: 1548-1556. PMID: 26001366, PMCID: PMC4651808, DOI: 10.1007/s00270-015-1129-9.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overCarcinoma, HepatocellularChemoembolization, TherapeuticCone-Beam Computed TomographyContrast MediaEthiodized OilFemaleFollow-Up StudiesHumansImage EnhancementImaging, Three-DimensionalLiverLiver NeoplasmsMagnetic Resonance ImagingMaleMiddle AgedRetrospective StudiesTreatment OutcomeConceptsLipiodol depositionConventional transarterial chemoembolizationTumor responseOverall tumor volumeTumor volumeCE-MRIHepatocellular carcinomaTransarterial chemoembolizationTumor necrosisContrast-enhanced magnetic resonance imagingNecrotic tumour volumeResponse Evaluation CriteriaT-testMagnetic resonance imagingStudent's t-testMethodsThis IRBTarget lesionsRetrospective analysisSolid tumorsResonance imagingSpearman rank-order correlationPatientsCone-beam CTCBCTChemoembolization
2014
Identifying Staging Markers for Hepatocellular Carcinoma before Transarterial Chemoembolization: Comparison of Three-dimensional Quantitative versus Non–three-dimensional Imaging Markers
Chapiro J, Duran R, Lin M, Schernthaner RE, Wang Z, Gorodetski B, Geschwind JF. Identifying Staging Markers for Hepatocellular Carcinoma before Transarterial Chemoembolization: Comparison of Three-dimensional Quantitative versus Non–three-dimensional Imaging Markers. Radiology 2014, 275: 438-47. PMID: 25531387, PMCID: PMC4409467, DOI: 10.1148/radiol.14141180.Peer-Reviewed Original ResearchConceptsUnresectable hepatocellular carcinomaTransarterial chemoembolizationHepatocellular carcinomaTumor diameterHazard ratioTumor responseTumor volumeResponse rateCox proportional hazard ratiosStaging markersTumor response rateProportional hazard ratiosResponse Evaluation CriteriaSurvival of patientsKaplan-Meier analysisSingle-institution analysisBaseline magnetic resonance imagesHigh response rateInstitutional review boardOverall survivalLiver (EASL) guidelinesPatient cohortImaging markerRadiologic measurementsLarge lesions
2013
Dual-phase Cone-beam Computed Tomography to See, Reach, and Treat Hepatocellular Carcinoma during Drug-eluting Beads Transarterial Chemo-embolization
Tacher V, Lin M, Bhagat N, Abi Jaoudeh N, Radaelli A, Noordhoek N, Carelsen B, Wood B, Geschwind J. Dual-phase Cone-beam Computed Tomography to See, Reach, and Treat Hepatocellular Carcinoma during Drug-eluting Beads Transarterial Chemo-embolization. Journal Of Visualized Experiments 2013 DOI: 10.3791/50795-v.Peer-Reviewed Original ResearchDual-phase Cone-beam Computed Tomography to See, Reach, and Treat Hepatocellular Carcinoma during Drug-eluting Beads Transarterial Chemo-embolization
Tacher V, Lin M, Bhagat N, Jaoudeh N, Radaelli A, Noordhoek N, Carelsen B, Wood B, Geschwind J. Dual-phase Cone-beam Computed Tomography to See, Reach, and Treat Hepatocellular Carcinoma during Drug-eluting Beads Transarterial Chemo-embolization. Journal Of Visualized Experiments 2013, 50795. PMID: 24326874, PMCID: PMC3910428, DOI: 10.3791/50795.Peer-Reviewed Original ResearchConceptsHepatocellular carcinomaDP-CBCTDual phase CBCTDrug-eluting beadsCone-Beam Computed TomographyRole of CBCTMagnetic resonance imagingDEB-TACETreatment successInvasive therapyLiver tumorsComputed tomographyHCC treatmentInterventional radiologyResonance imagingAngiography suiteDiagnostic imagingSelective therapyCone beamDiagnostic accuracyCBCT techniqueInterventional suiteCarcinomaCBCTTherapyQuantitative Assessment of Lipiodol Deposition after Chemoembolization: Comparison between Cone-Beam CT and Multidetector CT
Chen R, Geschwind J, Wang Z, Tacher V, Lin M. Quantitative Assessment of Lipiodol Deposition after Chemoembolization: Comparison between Cone-Beam CT and Multidetector CT. Journal Of Vascular And Interventional Radiology 2013, 24: 1837-1844. PMID: 24094672, PMCID: PMC3840104, DOI: 10.1016/j.jvir.2013.08.017.Peer-Reviewed Original ResearchMeSH KeywordsCarcinoma, HepatocellularChemoembolization, TherapeuticCone-Beam Computed TomographyContrast MediaEthiodized OilFemaleHumansImaging, Three-DimensionalLinear ModelsLiver NeoplasmsMaleMiddle AgedMultidetector Computed TomographyPredictive Value of TestsRadiographic Image Interpretation, Computer-AssistedRetrospective StudiesTumor BurdenWorkflowConceptsTransarterial chemoembolizationLipiodol depositionHepatocellular carcinomaMultidetector CTConventional transarterial chemoembolizationVolume of tumorMargin of tumorUnenhanced multidetector CTUnenhanced multidetectorLipiodol retentionChemoembolizationLiver parenchymaTumorsEntire tumorLiver contrastCone beamCone-beam CTCTImaging modalitiesCBCTPatientsLipiodolWhole tumorVolumetric measurementsTomography