Observer Agreement in the Angiographic Assessment of Arteriovenous Malformations of the Brain

Author:

Al-Shahi Rustam1,Pal Nandita1,Lewis Steff C.1,Bhattacharya Jo J.1,Sellar Robin J.1,Warlow Charles P.1,

Affiliation:

1. 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.

Abstract

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 (κ) for nominal data, weighted κ 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 measurement—with proof of good intraobserver and interobserver agreement—for future efforts to understand the prognosis and best treatment of AVMs.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Advanced and Specialized Nursing,Cardiology and Cardiovascular Medicine,Neurology (clinical)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3