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Operative planning aid for optimal endoscopic third ventriculostomy entry points in pediatric cases

Authors :
Ian Kamaly-Asl
Abteen Mostofi
David Coope
Zsolt Zador
Source :
Child's Nervous System
Publication Year :
2017
Publisher :
Springer Berlin Heidelberg, 2017.

Abstract

Object Endoscopic third ventriculostomy (ETV) uses anatomical spaces of the ventricular system to reach the third ventricle floor and create an alternative pathway for cerebrospinal fluid flow. Optimal ETV trajectories have been previously proposed in the literature, designed to grant access to the third ventricle floor without a displacement of eloquent periventricular structures. However, in hydrocephalus, there is a significant variability to the configuration of the ventricular system, implying that the optimal ETV trajectory and cranial entry point needs to be planned on a case-by-case basis. In the current study, we created a mathematical model, which tailors the optimal ETV entry point to the individual case by incorporating the ventricle dimensions. Methods We retrospectively reviewed the imaging of 30 consecutive pediatric patients with varying degrees of ventriculomegaly. Three dimensional radioanatomical models were created using preoperative MRI scans to simulate the optimal ETV trajectory and entry point for each case. The surface location of cranial entry points for individual ETV trajectories was recorded as Cartesian coordinates centered at Bregma. The distance from the Bregma in the coronal plane represented as “x”, and the distance from the coronal suture in the sagittal plane represented as “y”. The correlation between the ventricle dimensions and the x, y coordinates were tested using linear regression models. Results The distance of the optimal ETV entry point from the Bregma in the coronal plane (“x”) and from the coronal suture in the sagittal plane (“y”) correlated well with the frontal horn ratio (FHR). The coordinates for x and y were fitted along the following linear equations: x = 85.8 FHR−13.3 (r 2 = 0.84, p

Details

Language :
English
ISSN :
14330350 and 02567040
Volume :
33
Issue :
2
Database :
OpenAIRE
Journal :
Child's Nervous System
Accession number :
edsair.doi.dedup.....8208a369f9efa64d76810825d4b73376