2021
NIMG-64. TYPE OF BONY INVOLVEMENT PREDICTS GENOMIC SUBGROUP IN SPHENOID WING MENINGIOMAS
Jin L, Youngblood M, Gupte T, Vetsa S, Nadar A, Barak T, Yalcin K, Aguilera S, Mishra-Gorur K, Blondin N, Omay S, Pointdujour-Lim R, Judson B, Alperovich M, Aboian M, McGuone D, Gunel M, Erson-Omay Z, Fulbright R, Moliterno J. NIMG-64. TYPE OF BONY INVOLVEMENT PREDICTS GENOMIC SUBGROUP IN SPHENOID WING MENINGIOMAS. Neuro-Oncology 2021, 23: vi144-vi144. PMCID: PMC8598770, DOI: 10.1093/neuonc/noab196.562.Peer-Reviewed Original ResearchSphenoid wing meningiomaSpheno-orbital meningiomasBony involvementTRAF7 mutationsTumor invasionGenomic subgroupsPre-operative clinical featuresYale-New Haven HospitalAdditional clinical variablesSubset of tumorsPre-operative predictionLogistic regression modelsWhole-exome sequencingClinical featuresClinical variablesGrade IIPredictive logistic regression modelRecurrence patternsMolecular subtypesClinical implicationsExome sequencingHyperostosisMeningiomasTumorsGenomic drivers
2020
Clinical and genomic factors associated with seizures in meningiomas.
Gupte TP, Li C, Jin L, Yalcin K, Youngblood MW, Miyagishima DF, Mishra-Gorur K, Zhao AY, Antonios J, Huttner A, McGuone D, Blondin NA, Contessa JN, Zhang Y, Fulbright RK, Gunel M, Erson-Omay Z, Moliterno J. Clinical and genomic factors associated with seizures in meningiomas. Journal Of Neurosurgery 2020, 135: 835-844. PMID: 33276341, DOI: 10.3171/2020.7.jns201042.Peer-Reviewed Original ResearchPreoperative seizuresPostoperative seizuresAtypical histologyMultivariate analysisWorse progression-free survivalGenomic subgroupsYale-New Haven HospitalAssociation of seizuresAntiepileptic drug useProgression-free survivalSeizure-free patientsGross total resectionExtent of resectionMultiple risk factorsNF2 mutationsNew Haven HospitalLogistic regression modelsPostoperative radiationSeizure freedomClinical courseSeizure presentationSomatic NF2 mutationsBrain invasionRecurrent tumorsRisk factors
2005
Hypertension, age, and location predict rupture of small intracranial aneurysms.
Nahed BV, DiLuna ML, Morgan T, Ocal E, Hawkins AA, Ozduman K, Kahle KT, Chamberlain A, Amar AP, Gunel M. Hypertension, age, and location predict rupture of small intracranial aneurysms. Neurosurgery 2005, 57: 676-83; discussion 676-83. PMID: 16239879, DOI: 10.1227/01.neu.0000175549.96530.59.Peer-Reviewed Original ResearchConceptsUnruptured intracranial aneurysmsRisk factorsIntracranial aneurysmsSubarachnoid hemorrhageUnruptured aneurysmsMinimal long-term morbidityHistory of hypertensionNormal blood pressureLong-term morbidityTertiary medical centerAge of patientsAnterior circulation aneurysmsPosterior circulation aneurysmsSignificant risk factorsSignificant independent predictorsRupture of IAsMortality of treatmentLogistic regression modelsSmall intracranial aneurysmsHypertensive patientsIndependent predictorsPosterior circulationBlood pressureAneurysm characteristicsCurrent guidelines