2022
NIMG-07. APPLYING A GLIOMA-TRAINED DEEP LEARNING AUTO-SEGMENTATION TOOL ON BM PRE- AND POST-RADIOSURGERY
Kaur M, Varghese S, Jekel L, Tillmanns N, Merkaj S, Bousabarah K, Lin M, Bhawnani J, Chiang V, Aboian M. NIMG-07. APPLYING A GLIOMA-TRAINED DEEP LEARNING AUTO-SEGMENTATION TOOL ON BM PRE- AND POST-RADIOSURGERY. Neuro-Oncology 2022, 24: vii162-vii163. PMCID: PMC9660643, DOI: 10.1093/neuonc/noac209.626.Peer-Reviewed Original ResearchStereotactic radiosurgeryPosttreatment lesionsBoard-certified neuroradiologistsRoutine clinical useWhole tumorTumor coreMulticentric lesionsTreatment responsePeritumoral edemaBM preLesionsClinical useVolumetric segmentationEdemaPatientsT2w FLAIRTherapy planningTumorsDedicated trainingLesion detectionBM dataVolumetric measurementsBMMRIPre
2013
Quantitative Assessment of Lipiodol Deposition after Chemoembolization: Comparison between Cone-Beam CT and Multidetector CT
Chen R, Geschwind J, Wang Z, Tacher V, Lin M. Quantitative Assessment of Lipiodol Deposition after Chemoembolization: Comparison between Cone-Beam CT and Multidetector CT. Journal Of Vascular And Interventional Radiology 2013, 24: 1837-1844. PMID: 24094672, PMCID: PMC3840104, DOI: 10.1016/j.jvir.2013.08.017.Peer-Reviewed Original ResearchMeSH KeywordsCarcinoma, HepatocellularChemoembolization, TherapeuticCone-Beam Computed TomographyContrast MediaEthiodized OilFemaleHumansImaging, Three-DimensionalLinear ModelsLiver NeoplasmsMaleMiddle AgedMultidetector Computed TomographyPredictive Value of TestsRadiographic Image Interpretation, Computer-AssistedRetrospective StudiesTumor BurdenWorkflowConceptsTransarterial chemoembolizationLipiodol depositionHepatocellular carcinomaMultidetector CTConventional transarterial chemoembolizationVolume of tumorMargin of tumorUnenhanced multidetector CTUnenhanced multidetectorLipiodol retentionChemoembolizationLiver parenchymaTumorsEntire tumorLiver contrastCone beamCone-beam CTCTImaging modalitiesCBCTPatientsLipiodolWhole tumorVolumetric measurementsTomography