Comparison of PET Oxygen Extraction Fraction Methods for the Prediction of Stroke Risk

Journal of Nuclear Medicine

Colin P. Derdeyn¹  William J. Powers¹  Tom O. Videen¹  Robert L. Grubb Jr.¹ 

[1]Neuroradiology Section

[2] Division of Radiological Sciences, Mallinckrodt Institute of Radiology

[3] Department of Neurology and Neurological Surgery

[4] and The Lillian Strauss Institute of the Jewish Hospital of St. Louis, Washington University School of Medicine, St. Louis, Missouri Neuroradiology Section

[5] Division of Radiological Sciences, Mallinckrodt Institute of Radiology

[6] Department of Neurology and Neurological Surgery

[7] and The Lillian Strauss Institute of the Jewish Hospital of St. Louis, Washington University School of Medicine, St. Louis, Missouri Neuroradiology Section

[8] Division of Radiological Sciences, Mallinckrodt Institute of Radiology

[9] Department of Neurology and Neurological Surgery

[10] and The Lillian Strauss Institute of the Jewish Hospital of St. Louis, Washington University School of Medicine, St. Louis, Missouri

关键词: PET;    oxygen extraction fraction;    stroke;    sensitivity;    specificity;   

DOI  :  

学科分类：医学（综合）

来源: Society of Nuclear Medicine

【 摘 要 】

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.

【 授权许可】

Unknown