2023
Ethiodized oil as an imaging biomarker after conventional transarterial chemoembolization
Mendiratta-Lala M, Aslam A, Bai H, Chapiro J, De Baere T, Miyayama S, Chernyak V, Matsui O, Vilgrain V, Fidelman N. Ethiodized oil as an imaging biomarker after conventional transarterial chemoembolization. European Radiology 2023, 34: 3284-3297. PMID: 37930412, PMCID: PMC11126446, DOI: 10.1007/s00330-023-10326-7.Peer-Reviewed Original ResearchConventional transarterial chemoembolizationTreatment response assessmentEthiodized oilHepatocellular carcinomaTransarterial chemoembolizationTreatment responseResponse assessmentIntermediate-stage hepatocellular carcinomaDuration of responsePortion of tumorPost-treatment imagingTissue drug concentrationsPost-treatment prognosisChemotherapy solutionLiver transplantationLocoregional therapyChemotherapy dosesCombination therapyStandard treatmentTherapy optionsTumor responseImaging appearancesIntraarterial embolizationTumor necrosisTumor vasculatureConsensus 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 DataHCCDiagnosis
2022
Response 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 tumors
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 response
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 dataResectionResponsePredicting 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
2016
Imaging Biomarkers of Tumor Response in Neuroendocrine Liver Metastases Treated with Transarterial Chemoembolization: Can Enhancing Tumor Burden of the Whole Liver Help Predict Patient Survival?
Sahu S, Schernthaner R, Ardon R, Chapiro J, Zhao Y, Sohn JH, Fleckenstein F, Lin M, Geschwind JF, Duran R. Imaging Biomarkers of Tumor Response in Neuroendocrine Liver Metastases Treated with Transarterial Chemoembolization: Can Enhancing Tumor Burden of the Whole Liver Help Predict Patient Survival? Radiology 2016, 283: 160838. PMID: 27831830, PMCID: PMC5425309, DOI: 10.1148/radiol.2016160838.Peer-Reviewed Original ResearchConceptsNeuroendocrine liver metastasesWorld Health OrganizationContrast material-enhanced magnetic resonance (MR) imagesFirst TACE procedureResponse Evaluation CriteriaKaplan-Meier curvesTreatment response biomarkersTransarterial chemoembolization proceduresInstitutional review boardFirst TACELiver methodLiver metastasesIndependent predictorsTumor burdenRetrospective studyTACE proceduresCox regressionOnly biomarkerSurvival differencesChemoembolization proceduresTreatment responseResponse biomarkersPatientsSolid tumorsNormal liverRenal Cell Carcinoma Metastatic to the Liver: Early Response Assessment after Intraarterial Therapy Using 3D Quantitative Tumor Enhancement Analysis
Fleckenstein FN, Schernthaner RE, Duran R, Sohn JH, Sahu S, Marshall K, Lin M, Gebauer B, Chapiro J, Salem R, Geschwind JF. Renal Cell Carcinoma Metastatic to the Liver: Early Response Assessment after Intraarterial Therapy Using 3D Quantitative Tumor Enhancement Analysis. Translational Oncology 2016, 9: 377-383. PMID: 27641641, PMCID: PMC5021812, DOI: 10.1016/j.tranon.2016.07.005.Peer-Reviewed Original ResearchRenal cell carcinomaOverall survivalIntraarterial therapyMagnetic resonance imagingTumor responseTumor volumeMetastatic renal cell carcinomaRenal cell carcinoma metastaticCox proportional hazards modelEarly response assessmentMedian overall survivalResponse Evaluation CriteriaKaplan-Meier curvesLog-rank testCourse of diseaseProportional hazards modelQuantitative European AssociationOnly significant predictorWorld Health OrganizationRCC metastaticCarcinoma metastaticLiver metastasesCell carcinomaSurrogate markerTreatment response