Suppr超能文献

A new classification scheme for spinal vascular abnormalities based on angiographic features.

作者信息

Qureshi Adnan I

机构信息

Zeenat Qureshi Stroke Research Center, Department of Neurology, University of Minnesota, Minneapolis, MN, USA.

出版信息

J Neuroimaging. 2013 Jul;23(3):401-8. doi: 10.1111/j.1552-6569.2012.00709.x. Epub 2012 Dec 10.

Abstract

BACKGROUND AND PURPOSE

To determine the interobserver reliability of a newly proposed classification scheme for angiographic classification of spinal vascular malformations including arteriovenous fistulas (AVFs) and arteriovenous malformations (AVMs).

METHOD

A study was performed done in which 1-2 representative angiographic images of 26 spinal AVFs and/or AVMs were independently classified by five fellows in the ACGME accredited Endovascular Surgical Neuroradiology (ESN) program and two external interventionalists in the absence of any other clinical or imaging data. From these observations the interobserver reliability for each category and the overall scheme were determined in terms of the median weighted kappa statistic.

RESULTS

The overall interobserver reliability for the new classification scheme was a Kappa of 0.53 (Z = 21.3, P = <.0001) among the seven raters. The Kappa for individual grades was as follows: grade I (k = 0.66), grade II (k = 0.50), grade III (k = 0.44), and grade IV (k = 0.58). Three or more raters agreed on 100% of the cases. The interobserver reliability was high among the two practicing interventionalist raters (k = 0.55, 95% confidence interval 0.3-0.8). The interobserver reliability remained high among junior ESN fellows (k = 0.65).

CONCLUSION

The new classification scheme provided satisfactory reliability even in the hands of less experienced observers. The scheme can be used with minimal training and other concurrent data and can be relied upon to provide consistent results.

摘要

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验