Literature DB >> 28596188

Retrospective Validation of a Computer-Assisted Quantification Model of Intracerebral Hemorrhage Volume on Accuracy, Precision, and Acquisition Time, Compared with Standard ABC/2 Manual Volume Calculation.

W Xue1, S Vegunta2, C M Zwart3, M I Aguilar4, A C Patel3, J M Hoxworth3, B M Demaerschalk5, J R Mitchell1,6.   

Abstract

BACKGROUND AND
PURPOSE: Intracerebral hemorrhage accounts for 6.5%-19.6% of all acute strokes. Initial intracerebral hemorrhage volume and expansion are both independent predictors of clinical outcomes and mortality. Therefore, a rapid, unbiased, and precise measurement of intracerebral hemorrhage volume is a key component of clinical management. The most commonly used method, ABC/2, results in overestimation. We developed an interactive segmentation program, SegTool, using a novel graphic processing unit, level set algorithm. Until now, the speed, bias, and precision of SegTool had not been validated.
MATERIALS AND METHODS: In a single stroke academic center, 2 vascular neurologists and 2 neuroradiologists independently performed a test-retest experiment that involved repeat measurements of static, unchanging intracerebral hemorrhage volumes on CT from 76 intracerebral hemorrhage cases. Measurements were made with SegTool and ABC/2. True intracerebral hemorrhage volumes were estimated from a consensus of repeat manual tracings by 2 operators. These data allowed us to estimate measurement bias, precision, and speed.
RESULTS: The measurements with SegTool were not significantly different from the true intracerebral hemorrhage volumes, while ABC/2 overestimated volume by 45%. The interrater measurement variability with SegTool was 50% less than that with ABC/2. The average measurement times for ABC/2 and SegTool were 35.7 and 44.6 seconds, respectively.
CONCLUSIONS: SegTool appears to have attributes superior to ABC/2 in terms of accuracy and interrater reliability with a 9-second delay in measurement time (on average); hence, it could be useful in clinical trials and practice.
© 2017 by American Journal of Neuroradiology.

Entities:  

Mesh:

Year:  2017        PMID: 28596188     DOI: 10.3174/ajnr.A5256

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  3 in total

1.  Comparison of ABC/2 estimation and a volumetric computerized method for measurement of meningiomas using magnetic resonance imaging.

Authors:  Charles F Opalak; Matthew Parry; Andrew K Rock; Adam P Sima; Matthew T Carr; Vyshak Chandra; Kathryn G Workman; Aravind Somasundaram; William C Broaddus
Journal:  J Neurooncol       Date:  2019-08-10       Impact factor: 4.130

2.  Dorsal Root Ganglion Volumetry by MR Gangliography.

Authors:  S Weiner; M Strinitz; J Herfurth; F Hessenauer; C Nauroth-Kreß; T Kampf; G A Homola; N Üçeyler; C Sommer; M Pham; M Schindehütte
Journal:  AJNR Am J Neuroradiol       Date:  2022-04-21       Impact factor: 3.825

3.  Volumetric measurement of intracranial meningiomas: a comparison between linear, planimetric, and machine learning with multiparametric voxel-based morphometry methods.

Authors:  Jonadab Dos Santos Silva; Cláudia Abib Schreiner; Lázaro de Lima; Carlos Eduardo Pinheiro Leal Brigido; Christopher D Wilson; Luke McVeigh; Joseph Acchiardo; José Alberto Landeiro; Marcus André Acioly; Aaron Cohen-Gadol
Journal:  J Neurooncol       Date:  2022-09-05       Impact factor: 4.506

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.