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 measurementsBMMRIPreThree-Dimensional Quantitative Tumor Response and Survival Analysis of Hepatocellular Carcinoma Patients Who Failed Initial Transarterial Chemoembolization: Repeat or Switch Treatment?
Zhao Y, Haroun R, Sahu S, Schernthaner R, Smolka S, Lin M, Hong K, Georgiades C, Duran R. Three-Dimensional Quantitative Tumor Response and Survival Analysis of Hepatocellular Carcinoma Patients Who Failed Initial Transarterial Chemoembolization: Repeat or Switch Treatment? Cancers 2022, 14: 3615. PMID: 35892874, PMCID: PMC9329887, DOI: 10.3390/cancers14153615.Peer-Reviewed Original ResearchOverall survivalSecond TACEHepatocellular carcinoma patientsFirst TACECarcinoma patientsTumor responseInitial transarterial chemoembolizationMedian overall survivalTransarterial chemoembolization sessionsKaplan-Meier methodLonger overall survivalLog-rank testChemoembolization sessionsConsecutive patientsTransarterial chemoembolizationSurvival outcomesHCC patientsTreatment responseTumor enhancementPatientsSurvival analysisTACEEuropean AssociationRespondersSignificant differencesResponse 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 tumorsLGG-52. Volumetry-based response characterization of recurrent pediatric low-grade gliomas in PNOC clinical Neuro-oncology trials
von Reppert M, Lin M, Bousabarah K, Familiar A, Velasco R, Waanders A, Vossough A, Haddock A, Nicolaides T, Swanson K, Kazerooni A, Kline C, Nabavizadeh A, Haas-Kogan D, Prados M, Rubin J, Mueller S, Aboian M. LGG-52. Volumetry-based response characterization of recurrent pediatric low-grade gliomas in PNOC clinical Neuro-oncology trials. Neuro-Oncology 2022, 24: i100-i100. PMCID: PMC9165161, DOI: 10.1093/neuonc/noac079.364.Peer-Reviewed Original ResearchPediatric low-grade gliomasClinical trialsLow-grade gliomasRANO criteriaResponse assessmentNeuro-oncology trialsSingle-agent everolimusTreatment response analysisCentral imaging reviewInter-reader agreementClinical outcomesTumor sizeImaging reviewCystic componentTreatment responseTumor volumeTrue tumor volumeNovel treatmentsVolumetric assessmentTrial outcomesVolumetric measuresEntire tumorOverall discordanceNeuroradiology practiceTrialsReal-time PACS-integrated longitudinal brain metastasis tracking tool provides comprehensive assessment of treatment response to radiosurgery
Petersen G, Bousabarah K, Verma T, von Reppert M, Jekel L, Gordem A, Jang B, Merkaj S, Fadel S, Owens R, Omuro A, Chiang V, Ikuta I, Lin M, Aboian MS. Real-time PACS-integrated longitudinal brain metastasis tracking tool provides comprehensive assessment of treatment response to radiosurgery. Neuro-Oncology Advances 2022, 4: vdac116. PMID: 36043121, PMCID: PMC9412827, DOI: 10.1093/noajnl/vdac116.Peer-Reviewed Original ResearchGamma KnifeTreatment responseBrain metastasis patientsFurther treatment planningNumber of lesionsMean followBrain metastasesMetastasis patientsMultiple lesionsDiagnostic followSingle patientStereotactic radiosurgeryPatientsLesionsIndividual lesionsPrevalenceAccurate surveillanceHeterogenous responseTreatment planningTreatmentFollowRadiosurgerySize assessmentComprehensive assessmentResponse
2021
OTHR-06. PACS Lesion Tracking Tool provides real time automatic information on brain tumor metastasis growth curves and RECIST criteria
Jang B, Lin M, Owens R, Bousabarah K, Mahajan A, Fadel S, Ikuta I, Tocino I, Aboian M. OTHR-06. PACS Lesion Tracking Tool provides real time automatic information on brain tumor metastasis growth curves and RECIST criteria. Neuro-Oncology Advances 2021, 3: iii15-iii15. DOI: 10.1093/noajnl/vdab071.061.Peer-Reviewed Original ResearchFirst brain MRIRECIST evaluationRECIST criteriaPatient managementBrain MRIResponse Evaluation CriteriaRadiology reportsBrain MRI studiesAdditional useful informationPost-gadolinium sequencesRECIST outcomeStable diseaseBrain metastasesClinical responsePartial responseProgressive diseaseComplete responseRadiologic impressionNew lesionsIntracranial metastasesClinical differencesTarget lesionsTreatment responseMRI studiesLesion size
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 dataResectionResponse