Literature DB >> 12052982

Observer agreement in the angiographic assessment of arteriovenous malformations of the brain.

Rustam Al-Shahi1, Nandita Pal, Steff C Lewis, Jo J Bhattacharya, Robin J Sellar, Charles P Warlow.   

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 (kappa) for nominal data, weighted kappa 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.

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Year:  2002        PMID: 12052982     DOI: 10.1161/01.str.0000018318.83802.18

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  9 in total

1.  Angioarchitecture of brain arteriovenous malformations and the risk of bleeding: an analysis of patients in northeastern malaysia.

Authors:  Shibani Kandai; Mohd Shafie Abdullah; Nyi Nyi Naing
Journal:  Malays J Med Sci       Date:  2010-01

2.  Endovascular Treatment of AVMs in Glasgow.

Authors:  J J Bhattacharya; S Jenkins; P Zampakis; M Behbahani; E Teasdale; V Papanastassiou
Journal:  Interv Neuroradiol       Date:  2005-10-27       Impact factor: 1.610

3.  Classification of cerebral arteriovenous malformations and intranidal flow patterns by color-encoded 4D-hybrid-MRA.

Authors:  T Illies; N D Forkert; T Ries; J Regelsberger; J Fiehler
Journal:  AJNR Am J Neuroradiol       Date:  2012-08-09       Impact factor: 3.825

4.  Observer variability of an angiographic grading scale used for the assessment of intracranial aneurysms treated with flow-diverting stents.

Authors:  M D Joshi; C J O'Kelly; T Krings; D Fiorella; T R Marotta
Journal:  AJNR Am J Neuroradiol       Date:  2013-02-28       Impact factor: 3.825

5.  Inter- and intraobserver variability in the assessment of brain arteriovenous malformation angioarchitecture and endovascular treatment results.

Authors:  D Iancu-Gontard; A Weill; F Guilbert; T Nguyen; J Raymond; D Roy
Journal:  AJNR Am J Neuroradiol       Date:  2007-03       Impact factor: 3.825

6.  4D Flat Panel Conebeam CTA for Analysis of the Angioarchitecture of Cerebral AVMs with a Novel Software Prototype.

Authors:  F Keil; A Bergkemper; A Birkhold; M Kowarschik; S Tritt; J Berkefeld
Journal:  AJNR Am J Neuroradiol       Date:  2022-01       Impact factor: 3.825

7.  Learning-based automatic segmentation of arteriovenous malformations on contrast CT images in brain stereotactic radiosurgery.

Authors:  Tonghe Wang; Yang Lei; Sibo Tian; Xiaojun Jiang; Jun Zhou; Tian Liu; Sean Dresser; Walter J Curran; Hui-Kuo Shu; Xiaofeng Yang
Journal:  Med Phys       Date:  2019-05-21       Impact factor: 4.071

Review 8.  Aneurysms Associated with Brain Arteriovenous Malformations.

Authors:  S K Rammos; B Gardenghi; C Bortolotti; H J Cloft; G Lanzino
Journal:  AJNR Am J Neuroradiol       Date:  2016-06-23       Impact factor: 3.825

9.  Metabolic Disorder of Extracellular Matrix Mediated by Decorin Upregulation Is Associated With Brain Arteriovenous Malformation Diffuseness.

Authors:  Maogui Li; Qingyuan Liu; Junhua Yang; Pengjun Jiang; Yi Yang; Yanan Zhang; Yong Cao; Jun Wu; Shuo Wang
Journal:  Front Aging Neurosci       Date:  2020-12-07       Impact factor: 5.750

  9 in total

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