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

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dc.contributor.authorAbdullah, JYen_US
dc.contributor.authorRajion, ZAen_US
dc.contributor.authorMartin, AGen_US
dc.contributor.authorAzlan Bin Jaafaren_US
dc.contributor.authorGhani, ARIen_US
dc.contributor.authorAbdullah, JMen_US
dc.date.accessioned2024-05-29T02:59:50Z
dc.date.available2024-05-29T02:59:50Z
dc.date.issued2019
dc.descriptionNeurocirugía Volume 30, Issue 3, May–June 2019, Pages 115-123en_US
dc.description.abstractIntroduction: Intracranial 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. Methods: The 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. Results: The mean ICV (+/- SD) were 1341.1 +/- 122.1 ml (manual) and 1344.11 +/- 122.6 ml (SBI) for the preoperative CT data. The mean ICV (+/- SD) were 1396.4 +/- 132.4 ml (manual) and 1400.53 +/- 132.1 ml (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. Conclusion: The 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. (C) 2019 Sociedad Espanola de Neurocirugia. Published by Elsevier Espana, S.L.U. All rights reserved.en_US
dc.identifier.doihttps://doi.org/10.1016/j.neucir.2018.12.004
dc.identifier.epage123
dc.identifier.issn1130-1473
dc.identifier.issue3
dc.identifier.scopusWOS:000468555400002
dc.identifier.spage115
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85061568888&doi=10.1016%2fj.neucir.2018.12.004&partnerID=40&md5=c9f9051ad9155085890a84e89da8ece5
dc.identifier.urihttps://www.sciencedirect.com/science/article/abs/pii/S1130147319300065
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/11755
dc.identifier.volume30
dc.languageEnglish
dc.language.isoen_USen_US
dc.publisherElsevier Espana Sluen_US
dc.relation.ispartofNeurocirugiaen_US
dc.sourceWeb Of Science (ISI)
dc.subjectShape-based interpolation methoden_US
dc.subjectComputed tomographyen_US
dc.subjectDecompressive craniectomyen_US
dc.subjectIntracranial volumeen_US
dc.subjectOpen source softwareen_US
dc.titleShape-based interpolation method in measuring intracranial volume for pre- and post-operative decompressive craniectomy using open source softwareen_US
dc.typeArticleen_US
dspace.entity.typePublication

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