2024
Outcomes of repeat conventional transarterial chemoembolization in patients with liver metastases
Ghabili K, Windham-Herman A, Konstantinidis M, Murali N, Borde T, Adam L, Laage-Gaupp F, Lin M, Chapiro J, Georgiades C, Nezami N. Outcomes of repeat conventional transarterial chemoembolization in patients with liver metastases. Annals Of Hepatology 2024, 29: 101529. PMID: 39033928, PMCID: PMC11558520, DOI: 10.1016/j.aohep.2024.101529.Peer-Reviewed Original ResearchConventional transarterial chemoembolizationLiver metastasesNeuroendocrine tumorsColorectal carcinomaTransarterial chemoembolizationOverall survivalLung cancerAssociated with improved patient survivalManagement of liver metastasesMetastatic liver lesionsSingle-institution analysisNonresponding patientsSurvival outcomesPatient survivalResponse assessmentTarget lesionsMetastasisLiver lesionsPatientsResponse rateChemoembolizationSurvivalLiverLesionsCancer
2022
NIMG-02. PACS-INTEGRATED AUTO-SEGMENTATION WORKFLOW FOR BRAIN METASTASES USING NNU-NET
Jekel L, Bousabarah K, Lin M, Merkaj S, Kaur M, Avesta A, Aneja S, Omuro A, Chiang V, Scheffler B, Aboian M. NIMG-02. PACS-INTEGRATED AUTO-SEGMENTATION WORKFLOW FOR BRAIN METASTASES USING NNU-NET. Neuro-Oncology 2022, 24: vii162-vii162. PMCID: PMC9661012, DOI: 10.1093/neuonc/noac209.622.Peer-Reviewed Original ResearchMachine Learning Applications for Differentiation of Glioma from Brain Metastasis—A Systematic Review
Jekel L, Brim WR, von Reppert M, Staib L, Petersen G, Merkaj S, Subramanian H, Zeevi T, Payabvash S, Bousabarah K, Lin M, Cui J, Brackett A, Mahajan A, Omuro A, Johnson MH, Chiang VL, Malhotra A, Scheffler B, Aboian MS. Machine Learning Applications for Differentiation of Glioma from Brain Metastasis—A Systematic Review. Cancers 2022, 14: 1369. PMID: 35326526, PMCID: PMC8946855, DOI: 10.3390/cancers14061369.Peer-Reviewed Original ResearchBrain metastasesDifferentiation of gliomasMagnetic resonance imagingEligible studiesSystematic reviewSingle-center institutionConventional magnetic resonance imagingSpecific clinical circumstancesNon-invasive differentiationQuality of reportingClinical circumstancesPoor reportingClinical practiceModel assessmentResonance imagingMetastasisStudy designGliomasTRIPOD StatementMultiple studiesExternal validationClinical translationAdherenceDifferentiationReview
2018
4:21 PM Abstract No. 331 Quantitative analysis of Lipiodol washout rates in intrahepatic cholangiocarcinoma and hepatic metastasis from neuroendocrine tumors and colorectal cancer after chemoembolization
Nezami N, Van Breugel M, Miszczuk M, Rexha I, Windham-Herman A, Savic L, Murali N, Lin M, Chapiro J, Geschwin J. 4:21 PM Abstract No. 331 Quantitative analysis of Lipiodol washout rates in intrahepatic cholangiocarcinoma and hepatic metastasis from neuroendocrine tumors and colorectal cancer after chemoembolization. Journal Of Vascular And Interventional Radiology 2018, 29: s142. DOI: 10.1016/j.jvir.2018.01.367.Peer-Reviewed Original Research
2015
1:27 PM, Abstract No. 119 Can whole liver enhancement patterns predict survival in patients with extensive neuroendocrine liver metastases treated with transarterial chemoembolization?
Sahu S, Duran R, Schernthaner R, Sohn J, Chapiro J, Lin M, Geschwind J. 1:27 PM, Abstract No. 119 Can whole liver enhancement patterns predict survival in patients with extensive neuroendocrine liver metastases treated with transarterial chemoembolization? Journal Of Vascular And Interventional Radiology 2015, 26: s58. DOI: 10.1016/j.jvir.2014.12.160.Peer-Reviewed Original Research
2014
1:39 PM Abstract No. 241 Quantitative 3D volumetric assessment of tumor response after intra-arterial therapy of colorectal cancer metastases to the liver – a new surrogate marker for survival
Chapiro J, Duran R, Lin M, Charu V, Wang Z, Tacher V, Lesage D, Geschwind J. 1:39 PM Abstract No. 241 Quantitative 3D volumetric assessment of tumor response after intra-arterial therapy of colorectal cancer metastases to the liver – a new surrogate marker for survival. Journal Of Vascular And Interventional Radiology 2014, 25: s113. DOI: 10.1016/j.jvir.2013.12.311.Peer-Reviewed Original Research