Literature DB >> 25385747

Interobserver variability of aneurysm morphology: discrimination of the daughter sac.

Sang Hyun Suh1, Harry J Cloft2, John Huston2, Kyung Hwa Han3, David F Kallmes2.   

Abstract

OBJECTIVE: Several definitions have been proposed to distinguish the daughter sac when treating unruptured intracranial aneurysms. The aim of this study was to evaluate interobserver variability of aneurysm morphology, including the daughter sac, using criteria from the International Study of Unruptured Intracranial Aneurysms (ISUIA) and the Unruptured Cerebral Aneurysm Study of Japan (UCAS).
MATERIALS AND METHODS: After approval by the institutional review board, we analyzed three morphological features (daughter sac, lobulation, and irregular margin) from the ISUIA and UCAS using angiographic images from 102 saccular aneurysms. Four independent readers interpreted each morphological criterion using dichotomized scales (existence or not). The κ statistic was used to measure interobserver agreement, and κ>0.6 was considered substantial agreement.
RESULTS: For discrimination of the daughter sac, interobserver agreement among the four readers was substantial using the UCAS criteria (k=0.626 for two-dimensional (2D) and 0.659 for three-dimensional (3D) images) but not for the ISUIA criteria (k=0.487 for 2D and 0.473 for 3D images; significant difference). Irrespective of the images used, pairwise pooled κ values for the UCAS were >0.6, except for one case (score of 0.54 between readers A and B). Regarding the proportion of positive reads, there was a significant difference between reads for the daughter sac using the UCAS and ISUIA criteria.
CONCLUSIONS: For discrimination of the daughter sac, the UCAS definition showed a higher reliability than the ISUIA. However, a further prospective study is necessary to validate this definition as the treatment standard for unruptured intracranial aneurysms. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Entities:  

Keywords:  Aneurysm; Angiography

Mesh:

Year:  2014        PMID: 25385747     DOI: 10.1136/neurintsurg-2014-011471

Source DB:  PubMed          Journal:  J Neurointerv Surg        ISSN: 1759-8478            Impact factor:   5.836


  5 in total

Review 1.  Artificial Intelligence in the Management of Intracranial Aneurysms: Current Status and Future Perspectives.

Authors:  Z Shi; B Hu; U J Schoepf; R H Savage; D M Dargis; C W Pan; X L Li; Q Q Ni; G M Lu; L J Zhang
Journal:  AJNR Am J Neuroradiol       Date:  2020-03-12       Impact factor: 3.825

2.  Computer-Assisted Three-Dimensional Morphology Evaluation of Intracranial Aneurysms.

Authors:  Hamidreza Rajabzadeh-Oghaz; Nicole Varble; Hussain Shallwani; Vincent M Tutino; Ashkan Mowla; Hakeem J Shakir; Kunal Vakharia; Gursant S Atwal; Adnan H Siddiqui; Jason M Davies; Hui Meng
Journal:  World Neurosurg       Date:  2018-08-01       Impact factor: 2.104

3.  HydroCoils Are Associated with Lower Angiographic Recurrence Rates Than Are Bare Platinum Coils in Treatment of "Difficult-to-Treat" Aneurysms: A Post Hoc Subgroup Analysis of the HELPS Trial.

Authors:  W Brinjikji; P M White; H Nahser; J Wardlaw; R Sellar; A Gholkar; H J Cloft; D F Kallmes
Journal:  AJNR Am J Neuroradiol       Date:  2015-07-30       Impact factor: 3.825

4.  Management of Tiny Unruptured Intracranial Aneurysms: A Comparative Effectiveness Analysis.

Authors:  Ajay Malhotra; Xiao Wu; Howard P Forman; Charles C Matouk; Dheeraj Gandhi; Pina Sanelli
Journal:  JAMA Neurol       Date:  2018-01-01       Impact factor: 18.302

5.  Reliability and accuracy assessment of morphometric measurements obtained with software for three-dimensional reconstruction of brain aneurysms relative to cerebral angiography measures.

Authors:  Pablo M Munarriz; Eduardo Bárcena; Jose F Alén; Ana M Castaño-Leon; Igor Paredes; Luis Miguel Moreno-Gómez; Daniel García-Pérez; Luis Jiménez-Roldán; Pedro A Gómez; Alfonso Lagares
Journal:  Interv Neuroradiol       Date:  2020-09-30       Impact factor: 1.610

  5 in total

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