Excellent accuracy of ABC/2 volume formula compared to computer-assisted volumetric analysis of subdural hematomas

  • Background: Subdural hematoma (SDH) is a common disease associated with high morbidity, which is becoming more prominent due to the increasing incidence. Decision for a surgical evacuation is made depending on the clinical appearance and the volume of SDH, wherefore it is important to have a simple ‘bedside’ method to measure and compare the volume of SDH. Objective: The aim of the study was to verify the accuracy of the simplified ABC/2 volumetric formula to determine a valuable tool for the clinical practice. Methods: Preoperative CT-scans of 83 patients with SDHs were used for the computer-assisted volumetric measurement via BrainLab® as well as the ABC/2 volumetric measurement. A = largest length (anterior to posterior) of the SDH; B = maximum width (lateral to midline) 90° to A; C = maximum height (coronal plane or multiplication of slices) of the hematoma. These measurements were performed by two independent clinicians in a blinded fashion. Both volumes were compared by linear regression analysis of Pearson and Bland-Altman regression analysis. Results: Among 100 SDHs, 53% were under an 47% were over 100cm3 showing a well distribution of the hematoma sizes. There was an excellent correlation between computer-assisted volumetric measurement and ABC/2 (R2 = 0.947, p<0.0001) and no undesirable deviation and trend were detected (p = 0.101; p = 0.777). A 95% tolerance region of the ratios of both methods was [0.805–1.201]. Conclusion: The ABC/2 method is a simple and fast bedside formula for the measurement of SDH volume in a timely manner without limited access through simple adaption, which may replace the computer-assisted volumetric measurement in the clinical and research area. Reason for the good accuracy seems to be the spherical form of SDH, which has a similarity to a half ellipsoid.

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Author:Sae-Yeon WonORCiDGND, Andrea Zagorcic, Daniel DubinskiORCiDGND, Johanna Quick-WellerORCiDGND, Eva HerrmannORCiDGND, Volker SeifertORCiD, Jürgen KonczallaORCiDGND
URN:urn:nbn:de:hebis:30:3-468281
DOI:https://doi.org/10.1371/journal.pone.0199809
ISSN:1932-6203
Pubmed Id:https://pubmed.ncbi.nlm.nih.gov/29944717
Parent Title (English):PLoS one
Publisher:PLoS
Place of publication:Lawrence, Kan.
Contributor(s):Jonathan H. Sherman
Document Type:Article
Language:English
Year of Completion:2018
Date of first Publication:2018/06/26
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2018/07/03
Tag:Ellipsoids; Epidural block; Hemorrhage; Linear regression analysis; Medical ethics; Morbidity; Regression analysis; Volumetric analysis
Volume:13
Issue:(6): e0199809
Page Number:6
First Page:1
Last Page:6
Note:
Copyright: © 2018 Won et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
HeBIS-PPN:435671162
Institutes:Medizin / Medizin
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Sammlungen:Universitätspublikationen
Open-Access-Publikationsfonds:Medizin
Licence (German):License LogoCreative Commons - Namensnennung 4.0