2022
Machine 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
2019
Applications of artificial intelligence in neuro-oncology.
Aneja S, Chang E, Omuro A. Applications of artificial intelligence in neuro-oncology. Current Opinion In Neurology 2019, 32: 850-856. PMID: 31609739, DOI: 10.1097/wco.0000000000000761.Peer-Reviewed Original ResearchConceptsArtificial intelligenceArtificial intelligence algorithmsNatural language processingAmount of dataIntelligence algorithmsLanguage processingIntelligenceNeuro-oncologyImage analysisApplicationsAlgorithmRisk stratificationFuture innovationsTreatment responseBrain tumorsClinical practiceClassificationRecent applicationsProcessingSignificant promiseChallengesDetection
2015
Integration of 2-hydroxyglutarate-proton magnetic resonance spectroscopy into clinical practice for disease monitoring in isocitrate dehydrogenase-mutant glioma
de la Fuente MI, Young RJ, Rubel J, Rosenblum M, Tisnado J, Briggs S, Arevalo-Perez J, Cross JR, Campos C, Straley K, Zhu D, Dong C, Thomas A, Omuro AA, Nolan CP, Pentsova E, Kaley TJ, Oh JH, Noeske R, Maher E, Choi C, Gutin PH, Holodny AI, Yen K, DeAngelis LM, Mellinghoff IK, Thakur SB. Integration of 2-hydroxyglutarate-proton magnetic resonance spectroscopy into clinical practice for disease monitoring in isocitrate dehydrogenase-mutant glioma. Neuro-Oncology 2015, 18: 283-290. PMID: 26691210, PMCID: PMC4724186, DOI: 10.1093/neuonc/nov307.Peer-Reviewed Original ResearchConceptsTumor volumeDisease monitoringIsocitrate dehydrogenase (IDH) mutant gliomasProton magnetic resonance spectroscopyConsecutive glioma patientsMR imaging protocolMagnetic resonance spectroscopyCytoreductive therapyTumor levelsLarge tumorsTumor gradeSmall tumorsGlioma patientsGlioma imagingGlioma therapyClinical practiceClinical implicationsRoutine MRTumor cellularityTumor cellsIDH-mutant gliomasGliomasMetabolite RImaging protocolMitotic indexIs Next Generation Sequencing (NGS) Ready for Routine Clinical Practice in Gliomas? Results of a Prospective Study Utilizing the MSK-IMPACT Assay
Omuro A, Zehir A, Cheng D, Berger M, Hyman D, Solit D, Baselga J, Ladanyi M, Arcila M, Hameed M, Sabbatini P, DeAngelis L, Gutin P, Rosenblum M, Mellinghoff I, Tabar V, Chan T, Briggs S, Huse J, Brennan C. Is Next Generation Sequencing (NGS) Ready for Routine Clinical Practice in Gliomas? Results of a Prospective Study Utilizing the MSK-IMPACT Assay. Journal Of Clinical Oncology 2015, 33: 2057-2057. DOI: 10.1200/jco.2015.33.15_suppl.2057.Peer-Reviewed Original Research