2024
Automated graded prognostic assessment for patients with hepatocellular carcinoma using machine learning
Gross M, Haider S, Ze’evi T, Huber S, Arora S, Kucukkaya A, Iseke S, Gebauer B, Fleckenstein F, Dewey M, Jaffe A, Strazzabosco M, Chapiro J, Onofrey J. Automated graded prognostic assessment for patients with hepatocellular carcinoma using machine learning. European Radiology 2024, 34: 6940-6952. PMID: 38536464, PMCID: PMC11399284, DOI: 10.1007/s00330-024-10624-8.Peer-Reviewed Original ResearchContrast-enhanced magnetic resonance imagingMagnetic resonance imagingClinical staging systemTime of diagnosisHepatocellular carcinomaClinical dataMortality risk predictionOverall survivalStaging systemRadiomic featuresManagement of hepatocellular carcinomaPersonalized follow-up strategiesAssociated with OSMethodsThis retrospective studyHepatocellular carcinoma patientsBaseline magnetic resonance imagingMRI radiomics featuresIndependent validation cohortHarrell's C-indexRisk predictionFollow-up strategiesHigh-risk groupPredictive risk scoreRadiomics feature extractionMedian timeAutomated MRI liver segmentation for anatomical segmentation, liver volumetry, and the extraction of radiomics
Gross M, Huber S, Arora S, Ze’evi T, Haider S, Kucukkaya A, Iseke S, Kuhn T, Gebauer B, Michallek F, Dewey M, Vilgrain V, Sartoris R, Ronot M, Jaffe A, Strazzabosco M, Chapiro J, Onofrey J. Automated MRI liver segmentation for anatomical segmentation, liver volumetry, and the extraction of radiomics. European Radiology 2024, 34: 5056-5065. PMID: 38217704, PMCID: PMC11245591, DOI: 10.1007/s00330-023-10495-5.Peer-Reviewed Original ResearchMagnetic resonance imagingRadiomics feature extractionLiver volumetryIntraclass correlation coefficientRadiomic featuresLiver segmentationAutomated liver volumetryHepatocellular carcinoma patientsMann-Whitney U testAutomated liver segmentationManual segmentationQuantitative imaging biomarkersCarcinoma patientsRetrospective studyInstitutional databaseAnatomical localizationClinical relevanceManual volumetryMann-WhitneyU testExternal validationInternal test setImaging biomarkersInclusion criteriaResultsIn total
2023
Correction: Consensus 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. Correction: Consensus report from the 10th global forum for liver magnetic resonance imaging: multidisciplinary team discussion. European Radiology 2023, 34: 724-725. PMID: 37930413, PMCID: PMC10791959, DOI: 10.1007/s00330-023-10342-7.Peer-Reviewed Original ResearchConsensus 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
2021
Hepatic Radiofrequency Ablation
Collettini F, Brangsch J, Reimann C, Chapiro J, Savic LJ, Buchholz R, Keller S, Hamm B, Goldberg SN, Makowski MR. Hepatic Radiofrequency Ablation. Investigative Radiology 2021, 56: 591-598. PMID: 33787536, DOI: 10.1097/rli.0000000000000777.Peer-Reviewed Original Research
2020
Quantitative 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 methodNeutrophil-to-lymphocyte and platelet-to-lymphocyte ratios as predictors of tumor response in hepatocellular carcinoma after DEB-TACE
Schobert IT, Savic LJ, Chapiro J, Bousabarah K, Chen E, Laage-Gaupp F, Tefera J, Nezami N, Lin M, Pollak J, Schlachter T. Neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios as predictors of tumor response in hepatocellular carcinoma after DEB-TACE. European Radiology 2020, 30: 5663-5673. PMID: 32424595, PMCID: PMC7483919, DOI: 10.1007/s00330-020-06931-5.Peer-Reviewed Original ResearchMeSH KeywordsAgedBlood PlateletsCarcinoma, HepatocellularChemoembolization, TherapeuticFemaleHumansInflammationKaplan-Meier EstimateLiver NeoplasmsLymphocytesMagnetic Resonance ImagingMaleMiddle AgedMultivariate AnalysisNeutrophilsPrognosisProgression-Free SurvivalProportional Hazards ModelsRetrospective StudiesTreatment OutcomeConceptsProgression-free survivalTreatment-naïve hepatocellular carcinomaShorter progression-free survivalPoor tumor responseDEB-TACELymphocyte ratioTumor responseHepatocellular carcinomaMagnetic resonance imagingTumor growthInflammatory biomarkersDrug-eluting bead transarterial chemoembolizationContrast-enhanced magnetic resonance imagingHigher baseline NLRHigher baseline plateletsRadiomic featuresVolumetric tumor responseLoco-regional therapyAlpha-fetoprotein levelsBead transarterial chemoembolizationKaplan-Meier analysisMethodsThis retrospective studyDifferential blood countQuantitative European AssociationNodular tumor growth
2019
Quantitative 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
2016
Renal 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 responseImproved 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
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
Delayed-Phase Cone-Beam CT Improves Detectability of Intrahepatic Cholangiocarcinoma During Conventional Transarterial Chemoembolization
Schernthaner RE, Lin M, Duran R, Chapiro J, Wang Z, Geschwind JF. Delayed-Phase Cone-Beam CT Improves Detectability of Intrahepatic Cholangiocarcinoma During Conventional Transarterial Chemoembolization. CardioVascular And Interventional Radiology 2014, 38: 929-936. PMID: 25476872, PMCID: PMC4457721, DOI: 10.1007/s00270-014-1026-7.Peer-Reviewed Original ResearchMeSH KeywordsAngiography, Digital SubtractionBile Duct NeoplasmsChemoembolization, TherapeuticCholangiocarcinomaCohort StudiesCone-Beam Computed TomographyFemaleHumansLiverMagnetic Resonance ImagingMaleMiddle AgedObserver VariationRadiography, InterventionalReproducibility of ResultsRetrospective StudiesConceptsDual-phase cone-beam CTConventional transarterial chemoembolizationDigital subtraction angiographyIntrahepatic cholangiocarcinomaICC lesionsTransarterial chemoembolizationCE-MRICone-beam CTContrast-enhanced magnetic resonance imagingMethodsThis retrospective studyProsthetic mitral valveMagnetic resonance imagingHigher detectability rateConsecutive patientsRetrospective studyMitral valveMore lesionsLesionsResonance imagingSubtraction angiographyRoutine useLesion visibilityTreatment planningChemoembolizationCholangiocarcinomaUveal Melanoma Metastatic to the Liver: The Role of Quantitative Volumetric Contrast-Enhanced MR Imaging in the Assessment of Early Tumor Response after Transarterial Chemoembolization
Duran R, Chapiro J, Frangakis C, Lin M, Schlachter TR, Schernthaner RE, Wang Z, Savic LJ, Tacher V, Kamel IR, Geschwind JF. Uveal Melanoma Metastatic to the Liver: The Role of Quantitative Volumetric Contrast-Enhanced MR Imaging in the Assessment of Early Tumor Response after Transarterial Chemoembolization. Translational Oncology 2014, 7: 447-455. PMID: 24953419, PMCID: PMC4202794, DOI: 10.1016/j.tranon.2014.05.004.Peer-Reviewed Original ResearchFirst transarterial chemoembolizationEarly tumor responseTransarterial chemoembolizationWorld Health OrganizationOverall survivalTumor responseTarget lesionsTumor volumeTumor enhancementUveal melanomaContrast-enhanced magnetic resonance imagingNon-target lesionsUveal melanoma metastaticMedian overall survivalResponse Evaluation CriteriaKaplan-Meier methodLog-rank testMetastatic uveal melanomaMagnetic resonance imagingMelanoma metastaticSurrogate biomarkerSolid tumorsResonance imagingResponse criteriaLesions