(Stroke. 2002;33:1501.)
© 2002 American Heart Association, Inc.
Original Contributions |
From the Department of Clinical Neurosciences, Edinburgh University, Western General Hospital, Edinburgh (R.A.-S., N.P., S.C.L., R.J.S., C.P.W.), and Institute of Neurological Sciences, Southern General Hospital, Glasgow (J.J.B.), Scotland.
Correspondence to Rustam Al-Shahi, MA, MRCP(UK), Department of Clinical Neurosciences, Edinburgh University, Western General Hospital, Crewe Road, Edinburgh EH4 2XU, Scotland. E-mail Rustam.Al-Shahi{at}ed.ac.uk
Purpose We aimed to determine intraobserver and interobserver agreement in the characterization of brain arteriovenous malformation (AVM) angioarchitecture on intra-arterial digital subtraction angiograms.
Methods Five experienced interventional neuroradiologists independently reviewed 40 anonymized angiograms obtained at the time of first-ever AVM diagnosis. The allocation of the films to observers was balanced for AVM size and complexity. Every observer was compared with himself and all the others by distributing the films in 2 batches 3 months apart. The observers used standard forms to collect both quantitative and categorized qualitative angiographic data. To measure agreement we used the kappa statistic (
) for nominal data, weighted
for ordinal and discrete interval data, and Bland & Altman analysis for continuous data.
Results Intraobserver agreement was generally moderate to substantial, with 95% confidence intervals ranging from fair to almost perfect. However, for every characteristic, interobserver agreement was less than intraobserver agreement. Interobserver agreement was generally slight to moderate, with 95% confidence intervals ranging from less than chance to almost perfect.
Conclusion This study demonstrates the need for robust and generalizeable definitions of AVM angioarchitecture and methods of nidus size measurementwith proof of good intraobserver and interobserver agreementfor future efforts to understand the prognosis and best treatment of AVMs.
Department of Anesthesia & Perioperative Care
, Department of Neurology, University of California San Francisco School of Medicine, San Francisco, California
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