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 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 facultyManagement
2022
MR Imaging–Based In Vivo Macrophage Imaging to Monitor Immune Response after Radiofrequency Ablation of the Liver
Santana J, Petukhova-Greenstein A, Gross M, Hyder F, Pekurovsky V, Gottwald L, Boustani A, Walsh J, Kucukkaya A, Malpani R, Madoff D, Goldberg S, Ahmed M, Joshi N, Coman D, Chapiro J. MR Imaging–Based In Vivo Macrophage Imaging to Monitor Immune Response after Radiofrequency Ablation of the Liver. Journal Of Vascular And Interventional Radiology 2022, 34: 395-403.e5. PMID: 36423815, PMCID: PMC11042914, DOI: 10.1016/j.jvir.2022.11.013.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsContrast MediaImmunityLiverMacrophagesMagnetic Resonance ImagingMiceMice, Inbred C57BLRadiofrequency AblationConceptsImmune responseT1-weighted MRPrussian blue stainingRadiofrequency ablationRF ablationC57BL/6 wild-type miceMR imagingDose-escalation studyLocal immune responseMass cytometryWild-type miceRadiological-pathological correlationBlue stainingT1-weighted MR imagingHepatic radiofrequency ablationCD68 antibodyUntreated lobeVivo doseHepatic RF ablationVivo macrophagesMacrophagesMiceMR imaging scannerCoagulation areaCD68MR 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 outcome
2021
Deep 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 ResearchMeSH KeywordsCarcinoma, HepatocellularContrast MediaDeep LearningHumansLiver NeoplasmsMagnetic Resonance ImagingRetrospective StudiesConceptsNon-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
2020
Automated feature quantification of Lipiodol as imaging biomarker to predict therapeutic efficacy of conventional transarterial chemoembolization of liver cancer
Stark S, Wang C, Savic LJ, Letzen B, Schobert I, Miszczuk M, Murali N, Oestmann P, Gebauer B, Lin M, Duncan J, Schlachter T, Chapiro J. Automated feature quantification of Lipiodol as imaging biomarker to predict therapeutic efficacy of conventional transarterial chemoembolization of liver cancer. Scientific Reports 2020, 10: 18026. PMID: 33093524, PMCID: PMC7582153, DOI: 10.1038/s41598-020-75120-7.Peer-Reviewed Original ResearchConceptsConventional transarterial chemoembolizationLipiodol depositionTransarterial chemoembolizationLiver cancerPeripheral depositionLipiodol depositsTherapeutic efficacyNecrotic tumor areasBaseline MRITherapy optionsTumor responseTreatment responseTumor volumeLiver lesionsLipiodolH postTumor areaH-CTHounsfield unitsBiomarkersChemoembolizationHigh rateTumorsCancerImproved responseQuantitative volumetric assessment of baseline enhancing tumor volume as an imaging biomarker predicts overall survival in patients with glioblastoma
Auer TA, Della Seta M, Collettini F, Chapiro J, Zschaeck S, Ghadjar P, Badakhshi H, Florange J, Hamm B, Budach V, Kaul D. Quantitative volumetric assessment of baseline enhancing tumor volume as an imaging biomarker predicts overall survival in patients with glioblastoma. Acta Radiologica 2020, 62: 1200-1207. PMID: 32938221, DOI: 10.1177/0284185120953796.Peer-Reviewed Original ResearchConceptsProgression-free survivalOverall survivalTumor volumeGlioblastoma multiformeMagnetic resonance imagingMultivariable analysisCommon malignant primary brain tumorIntracranial progression-free survivalKarnofsky performance status scoreCranial magnetic resonance imagingMalignant primary brain tumorMedian overall survivalPerformance status scoreOS of patientsCox regression modelSignificant prognostic rolePrimary brain tumorsContrast-enhanced MRI sequencesQuantitative volumetric assessmentResection statusPrognostic roleMethyltransferase statusWorse prognosisEntire cohortNon-invasive methodMolecular MRI of the Immuno-Metabolic Interplay in a Rabbit Liver Tumor Model: A Biomarker for Resistance Mechanisms in Tumor-targeted Therapy?
Savic LJ, Doemel LA, Schobert IT, Montgomery RR, Joshi N, Walsh JJ, Santana J, Pekurovsky V, Zhang X, Lin M, Adam L, Boustani A, Duncan J, Leng L, Bucala RJ, Goldberg SN, Hyder F, Coman D, Chapiro J. Molecular MRI of the Immuno-Metabolic Interplay in a Rabbit Liver Tumor Model: A Biomarker for Resistance Mechanisms in Tumor-targeted Therapy? Radiology 2020, 296: 575-583. PMID: 32633675, PMCID: PMC7434651, DOI: 10.1148/radiol.2020200373.Peer-Reviewed Original ResearchConceptsImmuno-oncologic therapiesConventional transarterial chemoembolizationTransarterial chemoembolizationIntratumoral immune cell infiltrationMR spectroscopyRabbit liver tumor modelPrussian blue iron stainingAntigen-presenting immune cellsIntra-arterial infusionImmune cell infiltrationNew Zealand white rabbitsLiver tumor modelImmune cell exclusionLiver cancer modelContrast material administrationT2-weighted MRIZealand white rabbitsT2-weighted imagingResistance mechanismsImmunosuppressive tumorHLA-DRCell infiltrationImmune cellsImmunohistochemistry stainingRing enhancementQuantification of contrast-uptake as imaging biomarker for disease progression of renal cell carcinoma after tumor ablation
Tegel BR, Huber S, Savic LJ, Lin M, Gebauer B, Pollak J, Chapiro J. Quantification of contrast-uptake as imaging biomarker for disease progression of renal cell carcinoma after tumor ablation. Acta Radiologica 2020, 61: 1708-1716. PMID: 32216452, PMCID: PMC7529766, DOI: 10.1177/0284185120909964.Peer-Reviewed Original ResearchMeSH KeywordsAblation TechniquesAdultAgedAged, 80 and overBiomarkers, TumorCarcinoma, Renal CellContrast MediaDisease ProgressionFemaleHumansImaging, Three-DimensionalKidney NeoplasmsMaleMiddle AgedNeoplasm StagingRadiography, InterventionalRetrospective StudiesSensitivity and SpecificityTumor BurdenUltrasonography, InterventionalConceptsProgression-free survivalTotal tumor volumeRenal cell carcinomaCell carcinomaOdds ratioTumor volumeImaging biomarkersImage-guided thermal ablationPrognosis of patientsRENAL nephrometry scoreCox regression modelLargest tumor diameterLog-rank testKaplan-Meier plotsCross-sectional imagingSensitive imaging biomarkerMetastatic diseaseSecondary outcomesPrimary outcomeDistant metastasisNephrometry scoreTumor diameterOutcome parametersLesion vascularityTNM stage
2019
Comparing HCC arterial tumour vascularisation on baseline imaging and after lipiodol cTACE: how do estimations of enhancing tumour volumes differ on contrast-enhanced MR and CT?
Luedemann WM, Geisel D, Gebauer B, Schnapauff D, Chapiro J, Wieners G, Steffen I, Kahn J. Comparing HCC arterial tumour vascularisation on baseline imaging and after lipiodol cTACE: how do estimations of enhancing tumour volumes differ on contrast-enhanced MR and CT? European Radiology 2019, 30: 1601-1608. PMID: 31811428, DOI: 10.1007/s00330-019-06430-2.Peer-Reviewed Original ResearchConceptsLipiodol depositionNative CT scansTumor volumeTumour vascularisationTechnical successHCC patientsCE-CTCT scanDifferent imaging modalitiesImaging modalitiesContrast-enhanced CTContrast-enhanced MRPearson correlation coefficientBaseline imagingSubgroup analysisRespective regression coefficientsCT groupLinear regression analysisCE-MRICE-MRVascularisationCTContrast phasesPatientsCTACEQuantitative MRI for Assessment of Treatment Outcomes in a Rabbit VX2 Hepatic Tumor Model
Keller S, Chapiro J, Brangsch J, Reimann C, Collettini F, Sack I, Savic LJ, Hamm B, Goldberg SN, Makowski M. Quantitative MRI for Assessment of Treatment Outcomes in a Rabbit VX2 Hepatic Tumor Model. Journal Of Magnetic Resonance Imaging 2019, 52: 668-685. PMID: 31713973, DOI: 10.1002/jmri.26968.Peer-Reviewed Original ResearchConceptsMagnetic resonance imagingTranscatheter arterial embolizationHepatic tumor modelDiffusion-weighted imagingFunctional MRI sequencesRadiofrequency ablationTreatment outcomesHepatocellular carcinomaAnaplastic squamous cell carcinomaMRI sequencesTumor modelSecondary liver cancerSquamous cell carcinomaConventional magnetic resonance imagingHigh tumor vascularityDifferent treatment settingsCommon cancer typesFunctional magnetic resonance imagingQuantitative magnetic resonance imagingFuture MRI studiesLocoregional interventionsArterial embolizationLiver functionCell carcinomaInterventional treatmentA 3D quantitative imaging biomarker in pre-treatment MRI predicts overall survival after stereotactic radiation therapy of patients with a singular brain metastasis
Della Seta M, Collettini F, Chapiro J, Angelidis A, Engeling F, Hamm B, Kaul D. A 3D quantitative imaging biomarker in pre-treatment MRI predicts overall survival after stereotactic radiation therapy of patients with a singular brain metastasis. Acta Radiologica 2019, 60: 1496-1503. PMID: 30841703, DOI: 10.1177/0284185119831692.Peer-Reviewed Original ResearchConceptsIntracranial progression-free survivalSingular brain metastasisStereotactic radiation therapyPre-treatment magnetic resonance imagingMagnetic resonance imagingBrain metastasesPrognostic factorsTumor volumeRadiation therapyCranial magnetic resonance imagingContrast-enhanced MRI scansMultivariable Cox regressionProgression-free survivalIntracranial malignant tumorPrediction of survivalOverall survivalMultivariable analysisPrognostic indexCox regressionRetrospective studyMalignant tumorsQuantitative imaging biomarkersMRI scansPatientsRadiomic biomarkers
2018
Predicting Treatment Response to Intra-arterial Therapies for Hepatocellular Carcinoma with the Use of Supervised Machine Learning—An Artificial Intelligence Concept
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 Intra-arterial Therapies for Hepatocellular Carcinoma with the Use of Supervised Machine Learning—An Artificial Intelligence Concept. Journal Of Vascular And Interventional Radiology 2018, 29: 850-857.e1. PMID: 29548875, PMCID: PMC5970021, DOI: 10.1016/j.jvir.2018.01.769.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntineoplastic AgentsCarcinoma, HepatocellularChemoembolization, TherapeuticContrast MediaDoxorubicinEthiodized OilFemaleHumansLiver NeoplasmsMachine LearningMagnetic Resonance ImagingMaleMiddle AgedNeoplasm StagingPredictive Value of TestsRetrospective StudiesSensitivity and SpecificityTreatment OutcomeConceptsTransarterial chemoembolizationHepatocellular carcinomaTreatment responseLogistic regressionClinical patient dataPatient dataIntra-arterial therapyQuantitative European AssociationMagnetic resonance imagingLiver criteriaBaseline imagingClinical variablesTumor responseTherapeutic featuresTreatment respondersBaseline MRClinical informationImaging variablesChemoembolizationTherapeutic outcomesResonance imagingResponse criteriaEuropean AssociationPatientsMR imaging
2017
Diagnostic Accuracy of Split-Bolus Single-Phase Contrast-Enhanced Cone-Beam CT for the Detection of Liver Tumors before Transarterial Chemoembolization
Jonczyk M, Chapiro J, Collettini F, Geisel D, Schnapauff D, Streitparth F, Schmidt T, Hamm B, Gebauer B, Wieners G. Diagnostic Accuracy of Split-Bolus Single-Phase Contrast-Enhanced Cone-Beam CT for the Detection of Liver Tumors before Transarterial Chemoembolization. Journal Of Vascular And Interventional Radiology 2017, 28: 1378-1385. PMID: 28747271, DOI: 10.1016/j.jvir.2017.05.018.Peer-Reviewed Original ResearchConceptsTransarterial chemoembolizationHepatocellular carcinomaMR imagingCone-beam CTContrast injectionSingle-center studyContrast-enhanced MR imagingHypervascularized tumorsMore tumorsLiver tumorsHCC tumorsPhase MR imagingHepatobiliary phase MRIntraindividual comparisonTumorsChemoembolizationDiagnostic accuracyCTArterial phase MR imagingStatistical differenceWilcoxon testIndependent readersCone-beam CT imagesPatientsBetter tumor detection
2016
Improved Visibility of Metastatic Disease in the Liver During Intra-Arterial Therapy Using Delayed Arterial Phase Cone-Beam CT
Schernthaner RE, Haroun RR, Duran R, Lee H, Sahu S, Sohn JH, Chapiro J, Zhao Y, Gorodetski B, Fleckenstein F, Smolka S, Radaelli A, van der Bom IM, Lin M, Geschwind JF. Improved Visibility of Metastatic Disease in the Liver During Intra-Arterial Therapy Using Delayed Arterial Phase Cone-Beam CT. CardioVascular And Interventional Radiology 2016, 39: 1429-1437. PMID: 27380872, PMCID: PMC5009166, DOI: 10.1007/s00270-016-1406-2.Peer-Reviewed Original ResearchConceptsIntra-arterial therapyDigital subtraction angiographyLiver metastasesDP-CBCTCone-beam CTDual-phase cone-beam CTContrast-enhanced magnetic resonance imagingSarcoma liver metastasesTumor-feeding arteriesMagnetic resonance imagingContrast agent injectionMetastatic diseaseMethodsThis IRBRetrospective studyCRCLMClinical impactArterial phaseCE-MRIDepiction rateResonance imagingAgent injectionSubtraction angiographyMetastasisTherapyHigh rate
2015
Multimodality Imaging of Ethiodized Oil-loaded Radiopaque Microspheres during Transarterial Embolization of Rabbits with VX2 Liver Tumors.
Tacher V, Duran R, Lin M, Sohn JH, Sharma KV, Wang Z, Chapiro J, Gacchina Johnson C, Bhagat N, Dreher MR, Schäfer D, Woods DL, Lewis AL, Tang Y, Grass M, Wood BJ, Geschwind JF. Multimodality Imaging of Ethiodized Oil-loaded Radiopaque Microspheres during Transarterial Embolization of Rabbits with VX2 Liver Tumors. Radiology 2015, 279: 741-53. PMID: 26678453, PMCID: PMC4886703, DOI: 10.1148/radiol.2015141624.Peer-Reviewed Original ResearchConceptsTransarterial embolizationLiver tumor modelFeeding arteriesContrast materialMultidetector CTEmbolic agentTumor modelRabbit VX2 liver tumor modelRadiopaque microspheresVX2 tumor-bearing rabbitsCone-beam CTContrast material washoutRabbit liver tumor modelVX2 liver tumor modelTumor feeding arteriesVX2 rabbit liver tumor modelMicro-CTHistologic examinationInstitutional Animal CareTumor enhancementKruskal-Wallis testScale scoreHistologic analysisEmbolizationCone beamThree-Dimensional Quantitative Assessment of Lesion Response to MR-guided High-Intensity Focused Ultrasound Treatment of Uterine Fibroids
Savic LJ, De Lin M, Duran R, Schernthaner RE, Hamm B, Geschwind JF, Hong K, Chapiro J. Three-Dimensional Quantitative Assessment of Lesion Response to MR-guided High-Intensity Focused Ultrasound Treatment of Uterine Fibroids. Academic Radiology 2015, 22: 1199-1205. PMID: 26160057, PMCID: PMC4546360, DOI: 10.1016/j.acra.2015.05.008.Peer-Reviewed Original ResearchAdultCohort StudiesContrast MediaFeasibility StudiesFemaleFollow-Up StudiesHigh-Intensity Focused Ultrasound AblationHumansImage Processing, Computer-AssistedImaging, Three-DimensionalLeiomyomaMagnetic Resonance Imaging, InterventionalMiddle AgedRemission InductionRetrospective StudiesTreatment OutcomeTumor BurdenUterine NeoplasmsComparison of Existing Response Criteria in Patients with Hepatocellular Carcinoma Treated with Transarterial Chemoembolization Using a 3D Quantitative Approach.
Tacher V, Lin M, Duran R, Yarmohammadi H, Lee H, Chapiro J, Chao M, Wang Z, Frangakis C, Sohn JH, Maltenfort MG, Pawlik T, Geschwind JF. Comparison of Existing Response Criteria in Patients with Hepatocellular Carcinoma Treated with Transarterial Chemoembolization Using a 3D Quantitative Approach. Radiology 2015, 278: 275-84. PMID: 26131913, PMCID: PMC4695977, DOI: 10.1148/radiol.2015142951.Peer-Reviewed Original ResearchIntraprocedural 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 CTCBCTChemoembolizationRadiologic-pathologic analysis of quantitative 3D tumour enhancement on contrast-enhanced MR imaging: a study of ROI placement
Chockalingam A, Duran R, Sohn JH, Schernthaner R, Chapiro J, Lee H, Sahu S, Nguyen S, Geschwind JF, Lin M. Radiologic-pathologic analysis of quantitative 3D tumour enhancement on contrast-enhanced MR imaging: a study of ROI placement. European Radiology 2015, 26: 103-113. PMID: 25994198, PMCID: PMC4654989, DOI: 10.1007/s00330-015-3812-2.Peer-Reviewed Original ResearchConceptsTranscatheter arterial chemoembolizationHCC patientsIpsilateral placementTumor enhancementHepatocellular carcinoma patientsROI placementContrast-enhanced MR imagingRadiologic-pathologic analysisArterial chemoembolizationCarcinoma patientsPathological correlationIntra-class correlationPatientsMR imagingClinical methodsMedian differencePathologyInterest placementHistopathology