Morphological analysis of sigmoid sinus anatomy: clinical applications to neurotological surgery

Abstract Objectives The primary objective of this study was to use high-resolution micro-CT images to create accurate three-dimensional (3D) models of several intratemporal structures, and to compare several surgically important dimensions within the temporal bone. The secondary objective was to cre...

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Main Authors: Kylen Van Osch, Daniel Allen, Bradley Gare, Thomas J. Hudson, Hanif Ladak, Sumit K. Agrawal
Format: Article
Language:English
Published: BMC 2019-01-01
Series:Journal of Otolaryngology - Head and Neck Surgery
Subjects:
Online Access:http://link.springer.com/article/10.1186/s40463-019-0324-0
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spelling doaj-cd1ef61df493463abebeb473dd7822c32020-11-25T01:57:45ZengBMCJournal of Otolaryngology - Head and Neck Surgery1916-02162019-01-014811810.1186/s40463-019-0324-0Morphological analysis of sigmoid sinus anatomy: clinical applications to neurotological surgeryKylen Van Osch0Daniel Allen1Bradley Gare2Thomas J. Hudson3Hanif Ladak4Sumit K. Agrawal5Schulich School of Medicine & Dentistry, Western UniversityDepartment of Electrical and Computer Engineering, Western UniversityDepartment of Electrical and Computer Engineering, Western UniversitySchulich School of Medicine & Dentistry, Western UniversityDepartment of Medical Biophysics, Western UniversityDepartment of Otolaryngology – Head and Neck Surgery, Western UniversityAbstract Objectives The primary objective of this study was to use high-resolution micro-CT images to create accurate three-dimensional (3D) models of several intratemporal structures, and to compare several surgically important dimensions within the temporal bone. The secondary objective was to create a statistical shape model (SSM) of a dominant and non-dominant sigmoid sinus (SS) to provide a template for automated segmentation algorithms. Methods A free image processing software, 3D Slicer, was utilized to create three-dimensional reconstructions of the SS, jugular bulb (JB), facial nerve (FN), and external auditory canal (EAC) from micro-CT scans. The models were used to compare several clinically important dimensions between the dominant and non-dominant SS. Anatomic variability of the SS was also analyzed using SSMs generated using the Statismo software framework. Results Three-dimensional models from 38 temporal bones were generated and analyzed. Right dominance was observed in 74% of the paired SSs. All distances were significantly shorter on the dominant side (p < 0.05), including: EAC – SS (dominant: 13.7 ± 3.4 mm; non-dominant: 15.3 ± 2.7 mm), FN – SS (dominant: 7.2 ± 1.8 mm; non-dominant: 8.1 ± 2.3 mm), 2nd genu FN – superior tip of JB (dominant: 8.7 ± 2.2 mm; non-dominant: 11.2 ± 2.6 mm), horizontal distance between the superior tip of JB – descending FN (dominant: 9.5 ± 2.3 mm; non-dominant: 13.2 ± 3.5 mm), and horizontal distance between the FN at the stylomastoid foramen – JB (dominant: 5.4 ± 2.2 mm; non-dominant: 7.7 ± 2.1). Analysis of the SSMs indicated that SS morphology is most variable at its junction with the transverse sinus, and least variable at the JB. Conclusions This is the first known study to investigate the anatomical variation and relationships of the SS using high resolution scans, 3D  models and statistical shape analysis. This analysis seeks to guide neurotological surgical approaches and provide a template for automated segmentation and surgical simulation.http://link.springer.com/article/10.1186/s40463-019-0324-0Sigmoid sinusTransverse sinusJugular bulb - facial nerveStatistical shape modelAnatomyNeurotology
collection DOAJ
language English
format Article
sources DOAJ
author Kylen Van Osch
Daniel Allen
Bradley Gare
Thomas J. Hudson
Hanif Ladak
Sumit K. Agrawal
spellingShingle Kylen Van Osch
Daniel Allen
Bradley Gare
Thomas J. Hudson
Hanif Ladak
Sumit K. Agrawal
Morphological analysis of sigmoid sinus anatomy: clinical applications to neurotological surgery
Journal of Otolaryngology - Head and Neck Surgery
Sigmoid sinus
Transverse sinus
Jugular bulb - facial nerve
Statistical shape model
Anatomy
Neurotology
author_facet Kylen Van Osch
Daniel Allen
Bradley Gare
Thomas J. Hudson
Hanif Ladak
Sumit K. Agrawal
author_sort Kylen Van Osch
title Morphological analysis of sigmoid sinus anatomy: clinical applications to neurotological surgery
title_short Morphological analysis of sigmoid sinus anatomy: clinical applications to neurotological surgery
title_full Morphological analysis of sigmoid sinus anatomy: clinical applications to neurotological surgery
title_fullStr Morphological analysis of sigmoid sinus anatomy: clinical applications to neurotological surgery
title_full_unstemmed Morphological analysis of sigmoid sinus anatomy: clinical applications to neurotological surgery
title_sort morphological analysis of sigmoid sinus anatomy: clinical applications to neurotological surgery
publisher BMC
series Journal of Otolaryngology - Head and Neck Surgery
issn 1916-0216
publishDate 2019-01-01
description Abstract Objectives The primary objective of this study was to use high-resolution micro-CT images to create accurate three-dimensional (3D) models of several intratemporal structures, and to compare several surgically important dimensions within the temporal bone. The secondary objective was to create a statistical shape model (SSM) of a dominant and non-dominant sigmoid sinus (SS) to provide a template for automated segmentation algorithms. Methods A free image processing software, 3D Slicer, was utilized to create three-dimensional reconstructions of the SS, jugular bulb (JB), facial nerve (FN), and external auditory canal (EAC) from micro-CT scans. The models were used to compare several clinically important dimensions between the dominant and non-dominant SS. Anatomic variability of the SS was also analyzed using SSMs generated using the Statismo software framework. Results Three-dimensional models from 38 temporal bones were generated and analyzed. Right dominance was observed in 74% of the paired SSs. All distances were significantly shorter on the dominant side (p < 0.05), including: EAC – SS (dominant: 13.7 ± 3.4 mm; non-dominant: 15.3 ± 2.7 mm), FN – SS (dominant: 7.2 ± 1.8 mm; non-dominant: 8.1 ± 2.3 mm), 2nd genu FN – superior tip of JB (dominant: 8.7 ± 2.2 mm; non-dominant: 11.2 ± 2.6 mm), horizontal distance between the superior tip of JB – descending FN (dominant: 9.5 ± 2.3 mm; non-dominant: 13.2 ± 3.5 mm), and horizontal distance between the FN at the stylomastoid foramen – JB (dominant: 5.4 ± 2.2 mm; non-dominant: 7.7 ± 2.1). Analysis of the SSMs indicated that SS morphology is most variable at its junction with the transverse sinus, and least variable at the JB. Conclusions This is the first known study to investigate the anatomical variation and relationships of the SS using high resolution scans, 3D  models and statistical shape analysis. This analysis seeks to guide neurotological surgical approaches and provide a template for automated segmentation and surgical simulation.
topic Sigmoid sinus
Transverse sinus
Jugular bulb - facial nerve
Statistical shape model
Anatomy
Neurotology
url http://link.springer.com/article/10.1186/s40463-019-0324-0
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