2025
Comparison of prognostic accuracy of HCC staging systems in patients undergoing TACE
Kasolowsky V, Gross M, Madoff D, Duncan J, Taddei T, Strazzabosco M, Jaffe A, Chapiro J. Comparison of prognostic accuracy of HCC staging systems in patients undergoing TACE. Clinical Imaging 2025, 120: 110438. PMID: 40049074, DOI: 10.1016/j.clinimag.2025.110438.Peer-Reviewed Original ResearchConceptsOverall survival of patientsBCLC staging systemTransarterial chemoembolizationOverall survivalStaging systemHepatocellular carcinomaStaging systems of hepatocellular carcinomaHepatocellular carcinoma staging systemsRetrospective single center studyKaplan Meier survival analysisInternational Staging SystemSingle center studyLog-rank testTertiary care centerPredicting overall survivalMeier survival analysisConsecutive patientsPrognostic stratificationStudy endpointPrognostic accuracyCenter studyPrognostic powerStratify outcomesMultivariate analysisPatients
2024
Interventional Oncology Meets Immuno-oncology: Combination Therapies for Hepatocellular Carcinoma.
Bitar R, Salem R, Finn R, Greten T, Goldberg S, Chapiro J. Interventional Oncology Meets Immuno-oncology: Combination Therapies for Hepatocellular Carcinoma. Radiology 2024, 313: e232875. PMID: 39560477, PMCID: PMC11605110, DOI: 10.1148/radiol.232875.Peer-Reviewed Original ResearchConceptsManagement of hepatocellular carcinomaHepatocellular carcinomaLocoregional therapyClinical trialsImage-guided locoregional therapiesEnd pointsStages of hepatocellular carcinomaTumor microenvironment mechanismsCatheter-directed therapyCombination of immunotherapyProspective clinical trialImaging end pointsStandard of careAdjuvant settingNovel immunotherapiesCombination therapyTherapy resistanceInterventional radiologistsImmunotherapyDisease stageTherapyDisease evolutionNovel biomarkersCarcinomaMicroenvironment mechanismsImage-guided High-Dose-Rate Brachytherapy for Hepatocellular Carcinoma Could Be the Ultimate Ablation Tool.
Chapiro J. Image-guided High-Dose-Rate Brachytherapy for Hepatocellular Carcinoma Could Be the Ultimate Ablation Tool. Radiology 2024, 310: e240072. PMID: 38319171, PMCID: PMC10902593, DOI: 10.1148/radiol.240072.Peer-Reviewed Original ResearchEffect 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 ResearchConceptsT 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
Using Machine Learning to Predict Response to Image-guided Therapies for Hepatocellular Carcinoma.
Hsieh C, Laguna A, Ikeda I, Maxwell A, Chapiro J, Nadolski G, Jiao Z, Bai H. Using Machine Learning to Predict Response to Image-guided Therapies for Hepatocellular Carcinoma. Radiology 2023, 309: e222891. PMID: 37934098, DOI: 10.1148/radiol.222891.Peer-Reviewed Original ResearchMeSH KeywordsArtificial IntelligenceBiomarkersCarcinoma, HepatocellularChemoembolization, TherapeuticHumansLiver NeoplasmsMachine LearningConceptsHepatocellular carcinomaImage-guided therapySerum markersTreatment responseMinimally invasive image-guided therapiesPrediction of treatment responseLocal-regional treatmentQuantitative imaging featuresPersonalized treatment plansTransarterial radioembolizationTransarterial chemoembolizationImage featuresInterventional oncologyPatient selectionTreatment planningMedical record dataTriage patientsThermal ablationScoring systemFunction biomarkersPatientsCarcinomaMachine learningTherapySerumConsensus 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 ResearchConceptsLiver 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 Research
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 ResearchConceptsLiver 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 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 MRIAnalysis of Tumor Burden as a Biomarker for Patient Survival with Neuroendocrine Tumor Liver Metastases Undergoing Intra-Arterial Therapies: A Single-Center Retrospective Analysis
Miszczuk M, Chapiro J, Do Minh D, van Breugel JMM, Smolka S, Rexha I, Tegel B, Lin M, Savic LJ, Hong K, Georgiades C, Nezami N. Analysis of Tumor Burden as a Biomarker for Patient Survival with Neuroendocrine Tumor Liver Metastases Undergoing Intra-Arterial Therapies: A Single-Center Retrospective Analysis. CardioVascular And Interventional Radiology 2022, 45: 1494-1502. PMID: 35941241, PMCID: PMC9587516, DOI: 10.1007/s00270-022-03209-9.Peer-Reviewed Original ResearchMeSH KeywordsBiomarkersChemoembolization, TherapeuticHumansLiver NeoplasmsNeuroendocrine TumorsRetrospective StudiesTumor BurdenConceptsNeuroendocrine tumor liver metastasesMedian overall survivalIntra-arterial therapyLow tumor burdenTumor burdenOverall survivalLiver metastasesPrognostic factorsTumor diameterTB groupLonger median overall survivalRetrospective single-center analysisSingle-center retrospective analysisHigh TB groupLow TB groupRespective hazard ratiosHigh tumor burdenSingle-center analysisIndependent prognostic factorStrong prognostic factorDrug-eluting beadsLargest liver lesionPrediction of survivalHazard ratioPatient survivalResponse 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 ResearchConceptsConventional 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 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 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 ResearchImpact 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 ResearchConceptsTranscatheter 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 ResearchImproved performance and consistency of deep learning 3D liver segmentation with heterogeneous cancer stages in magnetic resonance imaging
Gross M, Spektor M, Jaffe A, Kucukkaya AS, Iseke S, Haider SP, Strazzabosco M, Chapiro J, Onofrey JA. Improved performance and consistency of deep learning 3D liver segmentation with heterogeneous cancer stages in magnetic resonance imaging. PLOS ONE 2021, 16: e0260630. PMID: 34852007, PMCID: PMC8635384, DOI: 10.1371/journal.pone.0260630.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 Research
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