C P Derdeyn1, T O Videen, R L Grubb, W J Powers. 1. Neuroradiology Section, Division of Radiologic Services, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri 63110, USA.
Abstract
UNLABELLED: PET measurement of increased oxygen extraction fraction (OEF) identifies patients at high risk for subsequent stroke. OEF methodology remains controversial. In this study we compare the sensitivity and specificity of absolute OEF measurements with ipsilateral-to-contralateral ratios of absolute OEF and count-based OEF estimates. METHODS: Multivariate analyses of OEF methods were performed using data from patients with symptomatic carotid artery occlusion (n = 68). Outcome and receiver operating characteristic (ROC) curve analyses were performed. RESULTS: All 3 methods were predictive of stroke risk in univariate analysis. Only the count-based method remained significant in multivariate analysis. The area under the ROC curve was greatest for the count-based ratio: 0.815 versus 0.769 (absolute) and 0.737 (ratios of absolute). CONCLUSION: All 3 methods are predictive of stroke risk in patients with unilateral carotid artery occlusion. ROC curve analysis is useful for selecting optimal thresholds for maximal sensitivity and specificity.
UNLABELLED: PET measurement of increased oxygen extraction fraction (OEF) identifies patients at high risk for subsequent stroke. OEF methodology remains controversial. In this study we compare the sensitivity and specificity of absolute OEF measurements with ipsilateral-to-contralateral ratios of absolute OEF and count-based OEF estimates. METHODS: Multivariate analyses of OEF methods were performed using data from patients with symptomatic carotid artery occlusion (n = 68). Outcome and receiver operating characteristic (ROC) curve analyses were performed. RESULTS: All 3 methods were predictive of stroke risk in univariate analysis. Only the count-based method remained significant in multivariate analysis. The area under the ROC curve was greatest for the count-based ratio: 0.815 versus 0.769 (absolute) and 0.737 (ratios of absolute). CONCLUSION: All 3 methods are predictive of stroke risk in patients with unilateral carotid artery occlusion. ROC curve analysis is useful for selecting optimal thresholds for maximal sensitivity and specificity.
Authors: Gregory J Zipfel; James Sagar; J Phillip Miller; Tom O Videen; Robert L Grubb; Ralph G Dacey; Colin P Derdeyn Journal: Neurosurg Focus Date: 2009-04 Impact factor: 4.047
Authors: Colin P Derdeyn; Gregory J Zipfel; Allyson R Zazulia; Patricia H Davis; Shyam Prabhakaran; Cristina S Ivan; Venkatesh Aiyagari; James R Sagar; Nancy Hantler; Lina Shinawi; John J Lee; Hussain Jafri; Robert L Grubb; J Philip Miller; Ralph G Dacey Journal: Stroke Date: 2017-03-10 Impact factor: 7.914
Authors: Manus J Donahue; Eric Achten; Petrice M Cogswell; Frank-Erik De Leeuw; Colin P Derdeyn; Rick M Dijkhuizen; Audrey P Fan; Rashid Ghaznawi; Jeremy J Heit; M Arfan Ikram; Peter Jezzard; Lori C Jordan; Eric Jouvent; Linda Knutsson; Richard Leigh; David S Liebeskind; Weili Lin; Thomas W Okell; Adnan I Qureshi; Charlotte J Stagg; Matthias Jp van Osch; Peter Cm van Zijl; Jennifer M Watchmaker; Max Wintermark; Ona Wu; Greg Zaharchuk; Jinyuan Zhou; Jeroen Hendrikse Journal: J Cereb Blood Flow Metab Date: 2017-08-17 Impact factor: 6.200
Authors: Thomas T Jiang; Tom O Videen; Robert L Grubb; William J Powers; Colin P Derdeyn Journal: J Cereb Blood Flow Metab Date: 2010-04-07 Impact factor: 6.200