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 carcinoma
2018
Irinotecan-Eluting 75–150-μm Embolics Lobar Chemoembolization in Patients with Colorectal Cancer Liver Metastases: A Prospective Single-Center Phase I Study
Fereydooni A, Letzen B, Ghani MA, Miszczuk MA, Huber S, Chapiro J, Schlachter T, Geschwind JF, Georgiades C. Irinotecan-Eluting 75–150-μm Embolics Lobar Chemoembolization in Patients with Colorectal Cancer Liver Metastases: A Prospective Single-Center Phase I Study. Journal Of Vascular And Interventional Radiology 2018, 29: 1646-1653.e5. PMID: 30337148, DOI: 10.1016/j.jvir.2018.08.010.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAntineoplastic AgentsBiomarkers, TumorChemoembolization, TherapeuticColorectal NeoplasmsConnecticutDrug CarriersFeasibility StudiesFemaleHumansIrinotecanLiver NeoplasmsMaleMicrospheresMiddle AgedPalliative CareProspective StudiesTime FactorsTomography, X-Ray ComputedTreatment OutcomeVascular Endothelial Growth Factor AVascular Endothelial Growth Factor Receptor-1Vascular Endothelial Growth Factor Receptor-2ConceptsVascular endothelial growth factor receptor 1Transarterial chemoembolizationAdverse eventsMetastatic diseaseObjective responseColorectal cancer liver metastasesLiver-dominant metastatic diseaseMetastatic colorectal cancer refractorySingle-center phase IColorectal cancer refractoryLines of chemotherapyMedian overall survivalPrimary end pointCancer liver metastasesResponse Evaluation CriteriaOnly grade 3Drug-eluting embolicsImaging-based criteriaGrowth factor receptor 1Factor receptor 1World Health OrganizationCancer refractoryAbdominal painSystemic chemotherapyLiver metastases
2017
Intra-arterial therapy of neuroendocrine tumour liver metastases: comparing conventional TACE, drug-eluting beads TACE and yttrium-90 radioembolisation as treatment options using a propensity score analysis model
Do Minh D, Chapiro J, Gorodetski B, Huang Q, Liu C, Smolka S, Savic LJ, Wainstejn D, Lin M, Schlachter T, Gebauer B, Geschwind JF. Intra-arterial therapy of neuroendocrine tumour liver metastases: comparing conventional TACE, drug-eluting beads TACE and yttrium-90 radioembolisation as treatment options using a propensity score analysis model. European Radiology 2017, 27: 4995-5005. PMID: 28677067, PMCID: PMC5675796, DOI: 10.1007/s00330-017-4856-2.Peer-Reviewed Original ResearchConceptsMultivariate Cox proportional hazards modelConventional transarterial chemoembolisationMedian overall survivalPropensity score analysisHepatic progression-free survivalDrug-eluting beads TACEYttrium-90 radioembolisationProgression-free survivalDEB-TACELiver metastasesOverall survivalBeads TACENeuroendocrine tumor liver metastasesWorld Health Organization criteriaCox proportional hazards modelIntra-arterial therapyMethodsThis retrospective analysisResponse Evaluation CriteriaScore analysisSignificant survival benefitLonger overall survivalGastroenteropancreatic neuroendocrine tumorsLog-rank testEntire study populationProportional hazards model