2019
Extending statistical learning for aneurysm rupture assessment to Finnish and Japanese populations using morphology, hemodynamics, and patient characteristics.
Detmer F, Hadad S, Chung B, Mut F, Slawski M, Juchler N, Kurtcuoglu V, Hirsch S, Bijlenga P, Uchiyama Y, Fujimura S, Yamamoto M, Murayama Y, Takao H, Koivisto T, Frösen J, Cebral J. Extending statistical learning for aneurysm rupture assessment to Finnish and Japanese populations using morphology, hemodynamics, and patient characteristics. Neurosurgical FOCUS 2019, 47: e16. PMID: 31261120, PMCID: PMC7132362, DOI: 10.3171/2019.4.focus19145.Peer-Reviewed Original ResearchConceptsArea under the receiver operating characteristic curveFinnish patientsPatient populationRisks associated with treatmentReceiver operating characteristic curveRupture riskInteraction termsAneurysm characteristicsIncidental aneurysmsModels' area under the receiver operating characteristic curvePatient characteristics
2018
Development and internal validation of an aneurysm rupture probability model based on patient characteristics and aneurysm location, morphology, and hemodynamics
Detmer F, Chung B, Mut F, Slawski M, Hamzei-Sichani F, Putman C, Jiménez C, Cebral J. Development and internal validation of an aneurysm rupture probability model based on patient characteristics and aneurysm location, morphology, and hemodynamics. International Journal Of Computer Assisted Radiology And Surgery 2018, 13: 1767-1779. PMID: 30094777, PMCID: PMC6328054, DOI: 10.1007/s11548-018-1837-0.Peer-Reviewed Original ResearchConceptsArea under the curveAneurysm locationMaximum oscillatory shear indexImage-based computational fluid dynamicsOscillatory shear indexComputational fluid dynamicsLow shear areaRisk of surgeryShear areaAdverse hemodynamic environmentShear indexFluid dynamicsHemodynamic environmentGeometric parametersPatient ageEndovascular treatmentIncreased rupture riskSubarachnoid hemorrhageAneurysm ruptureUnruptured aneurysmsPatient characteristicsTreatment strategiesInternal validityMale genderPatient gender