Estimation of the Craniectomy Surface Area by Using Postoperative Images

Decompressive craniectomy (DC) is a neurosurgical procedure performed to relieve the intracranial pressure engendered by brain swelling. However, no easy and accurate method exists for determining the craniectomy surface area. In this study, we implemented and compared three methods of estimating th...

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Main Authors: Meng-Yin Ho, Wei-Lung Tseng, Furen Xiao
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:International Journal of Biomedical Imaging
Online Access:http://dx.doi.org/10.1155/2018/5237693
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spelling doaj-f6227b46dfcc48da8ce81145af86204e2020-11-24T20:58:08ZengHindawi LimitedInternational Journal of Biomedical Imaging1687-41881687-41962018-01-01201810.1155/2018/52376935237693Estimation of the Craniectomy Surface Area by Using Postoperative ImagesMeng-Yin Ho0Wei-Lung Tseng1Furen Xiao2Department of Neurosurgery, National Taiwan University Hospital, Taipei, TaiwanGraduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, TaiwanDepartment of Neurosurgery, National Taiwan University Hospital, Taipei, TaiwanDecompressive craniectomy (DC) is a neurosurgical procedure performed to relieve the intracranial pressure engendered by brain swelling. However, no easy and accurate method exists for determining the craniectomy surface area. In this study, we implemented and compared three methods of estimating the craniectomy surface area for evaluating the decompressive effort. We collected 118 sets of preoperative and postoperative brain computed tomography images from patients who underwent craniectomy procedures between April 2009 and April 2011. The surface area associated with each craniectomy was estimated using the marching cube and quasi-Monte Carlo methods. The surface area was also estimated using a simple AC method, in which the area is calculated by multiplying the craniectomy length (A) by its height (C). The estimated surface area ranged from 9.46 to 205.32 cm2, with a median of 134.80 cm2. The root-mean-square deviation (RMSD) between the marching cube and quasi-Monte Carlo methods was 7.53 cm2. Furthermore, the RMSD was 14.45 cm2 between the marching cube and AC methods and 12.70 cm2 between the quasi-Monte Carlo and AC methods. Paired t-tests indicated no statistically significant difference between these methods. The marching cube and quasi-Monte Carlo methods yield similar results. The results calculated using the AC method are also clinically acceptable for estimating the DC surface area. Our results can facilitate additional studies on the association of decompressive effort with the effect of craniectomy.http://dx.doi.org/10.1155/2018/5237693
collection DOAJ
language English
format Article
sources DOAJ
author Meng-Yin Ho
Wei-Lung Tseng
Furen Xiao
spellingShingle Meng-Yin Ho
Wei-Lung Tseng
Furen Xiao
Estimation of the Craniectomy Surface Area by Using Postoperative Images
International Journal of Biomedical Imaging
author_facet Meng-Yin Ho
Wei-Lung Tseng
Furen Xiao
author_sort Meng-Yin Ho
title Estimation of the Craniectomy Surface Area by Using Postoperative Images
title_short Estimation of the Craniectomy Surface Area by Using Postoperative Images
title_full Estimation of the Craniectomy Surface Area by Using Postoperative Images
title_fullStr Estimation of the Craniectomy Surface Area by Using Postoperative Images
title_full_unstemmed Estimation of the Craniectomy Surface Area by Using Postoperative Images
title_sort estimation of the craniectomy surface area by using postoperative images
publisher Hindawi Limited
series International Journal of Biomedical Imaging
issn 1687-4188
1687-4196
publishDate 2018-01-01
description Decompressive craniectomy (DC) is a neurosurgical procedure performed to relieve the intracranial pressure engendered by brain swelling. However, no easy and accurate method exists for determining the craniectomy surface area. In this study, we implemented and compared three methods of estimating the craniectomy surface area for evaluating the decompressive effort. We collected 118 sets of preoperative and postoperative brain computed tomography images from patients who underwent craniectomy procedures between April 2009 and April 2011. The surface area associated with each craniectomy was estimated using the marching cube and quasi-Monte Carlo methods. The surface area was also estimated using a simple AC method, in which the area is calculated by multiplying the craniectomy length (A) by its height (C). The estimated surface area ranged from 9.46 to 205.32 cm2, with a median of 134.80 cm2. The root-mean-square deviation (RMSD) between the marching cube and quasi-Monte Carlo methods was 7.53 cm2. Furthermore, the RMSD was 14.45 cm2 between the marching cube and AC methods and 12.70 cm2 between the quasi-Monte Carlo and AC methods. Paired t-tests indicated no statistically significant difference between these methods. The marching cube and quasi-Monte Carlo methods yield similar results. The results calculated using the AC method are also clinically acceptable for estimating the DC surface area. Our results can facilitate additional studies on the association of decompressive effort with the effect of craniectomy.
url http://dx.doi.org/10.1155/2018/5237693
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AT weilungtseng estimationofthecraniectomysurfaceareabyusingpostoperativeimages
AT furenxiao estimationofthecraniectomysurfaceareabyusingpostoperativeimages
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