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A new scoring system for predicting extent of resection in medial sphenoid wing meningiomas based on three-dimensional multimodality fusion imaging

BACKGROUND: Three-dimensional (3D) fusion imaging has been proved to be a promising neurosurgical tool for presurgical evaluation of tumor removal. We aim to develop a scoring system based on this new tool to predict the resection grade of medial sphenoid wing meningiomas (mSWM) intuitively. METHODS...

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Autores principales: Wang, Zilan, Liang, Xiaolong, Yang, Yanbo, Gao, Bixi, Wang, Ling, You, Wanchun, Chen, Zhouqing, Wang, Zhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7604967/
https://www.ncbi.nlm.nih.gov/pubmed/33292782
http://dx.doi.org/10.1186/s41016-020-00214-0
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author Wang, Zilan
Liang, Xiaolong
Yang, Yanbo
Gao, Bixi
Wang, Ling
You, Wanchun
Chen, Zhouqing
Wang, Zhong
author_facet Wang, Zilan
Liang, Xiaolong
Yang, Yanbo
Gao, Bixi
Wang, Ling
You, Wanchun
Chen, Zhouqing
Wang, Zhong
author_sort Wang, Zilan
collection PubMed
description BACKGROUND: Three-dimensional (3D) fusion imaging has been proved to be a promising neurosurgical tool for presurgical evaluation of tumor removal. We aim to develop a scoring system based on this new tool to predict the resection grade of medial sphenoid wing meningiomas (mSWM) intuitively. METHODS: We included 46 patients treated for mSWM from 2014 to 2019 to evaluate their tumors’ location, volume, cavernous sinus involvement, vascular encasement, and bone invasion by 3D multimodality fusion imaging. A scoring system based on the significant parameters detected by statistical analysis was created and evaluated. RESULTS: The tumor volumes ranged from 0.8 cm(3) to 171.9 cm(3). A total of 39 (84.8%) patients had arterial involvement. Cavernous sinus (CS) involvement was observed in 23 patients (50.0%) and bone invasion was noted in 10 patients (21.7%). Simpson I resection was achieved in 10 patients (21.7%) and Simpson II resection was achieved in 17 patients (37.0%). Fifteen patients (32.6%) underwent Simpson III resection and 4 patients (8.7%) underwent Simpson IV resections. A scoring system was created. The score ranged from 1 to 10 and the mean score of our patients was 5.3 ± 2.8. Strong positive monotonic correlation existed between the score and resection grade (R(s) = 0.772, P < 0.001). The scoring system had good predictive capacity with an accuracy of 69.60%. CONCLUSIONS: We described a scoring system that enabled neurosurgeons to predict extent of resection and outcomes for mSWM preoperatively with 3D multimodality fusion imaging. TRIAL REGISTRATION: Retrospectively registered
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spelling pubmed-76049672020-11-03 A new scoring system for predicting extent of resection in medial sphenoid wing meningiomas based on three-dimensional multimodality fusion imaging Wang, Zilan Liang, Xiaolong Yang, Yanbo Gao, Bixi Wang, Ling You, Wanchun Chen, Zhouqing Wang, Zhong Chin Neurosurg J Research BACKGROUND: Three-dimensional (3D) fusion imaging has been proved to be a promising neurosurgical tool for presurgical evaluation of tumor removal. We aim to develop a scoring system based on this new tool to predict the resection grade of medial sphenoid wing meningiomas (mSWM) intuitively. METHODS: We included 46 patients treated for mSWM from 2014 to 2019 to evaluate their tumors’ location, volume, cavernous sinus involvement, vascular encasement, and bone invasion by 3D multimodality fusion imaging. A scoring system based on the significant parameters detected by statistical analysis was created and evaluated. RESULTS: The tumor volumes ranged from 0.8 cm(3) to 171.9 cm(3). A total of 39 (84.8%) patients had arterial involvement. Cavernous sinus (CS) involvement was observed in 23 patients (50.0%) and bone invasion was noted in 10 patients (21.7%). Simpson I resection was achieved in 10 patients (21.7%) and Simpson II resection was achieved in 17 patients (37.0%). Fifteen patients (32.6%) underwent Simpson III resection and 4 patients (8.7%) underwent Simpson IV resections. A scoring system was created. The score ranged from 1 to 10 and the mean score of our patients was 5.3 ± 2.8. Strong positive monotonic correlation existed between the score and resection grade (R(s) = 0.772, P < 0.001). The scoring system had good predictive capacity with an accuracy of 69.60%. CONCLUSIONS: We described a scoring system that enabled neurosurgeons to predict extent of resection and outcomes for mSWM preoperatively with 3D multimodality fusion imaging. TRIAL REGISTRATION: Retrospectively registered BioMed Central 2020-11-02 /pmc/articles/PMC7604967/ /pubmed/33292782 http://dx.doi.org/10.1186/s41016-020-00214-0 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Wang, Zilan
Liang, Xiaolong
Yang, Yanbo
Gao, Bixi
Wang, Ling
You, Wanchun
Chen, Zhouqing
Wang, Zhong
A new scoring system for predicting extent of resection in medial sphenoid wing meningiomas based on three-dimensional multimodality fusion imaging
title A new scoring system for predicting extent of resection in medial sphenoid wing meningiomas based on three-dimensional multimodality fusion imaging
title_full A new scoring system for predicting extent of resection in medial sphenoid wing meningiomas based on three-dimensional multimodality fusion imaging
title_fullStr A new scoring system for predicting extent of resection in medial sphenoid wing meningiomas based on three-dimensional multimodality fusion imaging
title_full_unstemmed A new scoring system for predicting extent of resection in medial sphenoid wing meningiomas based on three-dimensional multimodality fusion imaging
title_short A new scoring system for predicting extent of resection in medial sphenoid wing meningiomas based on three-dimensional multimodality fusion imaging
title_sort new scoring system for predicting extent of resection in medial sphenoid wing meningiomas based on three-dimensional multimodality fusion imaging
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7604967/
https://www.ncbi.nlm.nih.gov/pubmed/33292782
http://dx.doi.org/10.1186/s41016-020-00214-0
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