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
2021
Asian American Pacific Islander Representation in Outcomes Research: NSQIP Scoping Review
Chao GF, Emlaw J, Chiu AS, Yang J, Thumma J, Brackett A, Pei KY. Asian American Pacific Islander Representation in Outcomes Research: NSQIP Scoping Review. Journal Of The American College Of Surgeons 2021, 232: 682-689.e5. PMID: 33705984, DOI: 10.1016/j.jamcollsurg.2021.01.015.Peer-Reviewed Original ResearchConceptsSurgical outcomes researchOutcomes researchMultivariable logistic regressionHealth services researchWeb of ScienceNSQIP dataPatient outcomesProportion of studiesAuthors' institutionPatientsBetter careLogistic regressionStudy characteristicsHealth equityDemographic characteristicsNSQIPPacific IslandersScoping ReviewSeparate groupsOne-thirdServices researchPublication yearAssociationAAPI populationReview