• Neurocirugia (Astur : Engl Ed) · May 2019

    Shape-based interpolation method in measuring intracranial volume for pre- and post-operative decompressive craniectomy using open source software.

    • Johari Yap Abdullah, Zainul Ahmad Rajion, Arvind Gerard Martin, Azlan Jaafar, GhaniAbdul Rahman IzainiARIDepartment of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia., and Jafri Malin Abdullah.
    • Craniofacial Medical Imaging Research Group, School of Dental Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.
    • Neurocirugia (Astur : Engl Ed). 2019 May 1; 30 (3): 115-123.

    IntroductionIntracranial volume (ICV) is an important tool in the management of patients undergoing decompressive craniectomy (DC) surgery. The aim of this study was to validate ICV measurement applying the shape-based interpolation (SBI) method using open source software on computed tomography (CT) images.MethodsThe pre- and post-operative CT images of 55 patients undergoing DC surgery were analyzed. The ICV was measured by segmenting every slice of the CT images, and compared with estimated ICV calculated using the 1-in-10 sampling strategy and processed using the SBI method. An independent t test was conducted to compare the ICV measurements between the two different methods. The calculation using this method was repeated three times for reliability analysis using the intraclass correlations coefficient (ICC). The Bland-Altman plot was used to measure agreement between the methods for both pre- and post-operative ICV measurements.ResultsThe mean ICV (±SD) were 1341.1±122.1ml (manual) and 1344.11±122.6ml (SBI) for the preoperative CT data. The mean ICV (±SD) were 1396.4±132.4ml (manual) and 1400.53±132.1ml (SBI) for the post-operative CT data. No significant difference was found in ICV measurements using the manual and the SBI methods (p=.983 for pre-op, and p=.960 for post-op). The intrarater ICC showed a significant correlation; ICC=1.00. The Bland-Altman plot showed good agreement between the manual and the SBI method.ConclusionThe shape-based interpolation method with 1-in-10 sampling strategy gave comparable results in estimating ICV compared to manual segmentation. Thus, this method could be used in clinical settings for rapid, reliable and repeatable ICV estimations.Copyright © 2019 Sociedad Española de Neurocirugía. Publicado por Elsevier España, S.L.U. All rights reserved.

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