volume 38 issue 10 pages 1907-1912

Prediction of shunt failure facilitated by rapid and accurate volumetric analysis: a single institution’s preliminary experience

Tushar R Jha 1
Mark F. Quigley 1
Khashayar Mozaffari 1
Orgest Lathia 1
Katherine Hofmann 1
John S. Myseros 1
Chima Oluigbo 1
Robert F. Keating 1
Publication typeJournal Article
Publication date2022-05-20
scimago Q2
wos Q3
SJR0.478
CiteScore2.5
Impact factor1.2
ISSN02567040, 14330350
General Medicine
Neurology (clinical)
Pediatrics, Perinatology and Child Health
Abstract
Shunt malfunction is a common complication and often presents with hydrocephalus. While the diagnosis is often supported by radiographic studies, subtle changes in CSF volume may not be detectable on routine evaluation. The purpose of this study was to develop a novel automated volumetric software for evaluation of shunt failure in pediatric patients, especially in patients who may not manifest a significant change in their ventricular size. A single-institution retrospective review of shunted patients was conducted. Ventricular volume measurements were performed using manual and automated methods by three independent analysts. Manual measurements were produced using OsiriX software, whereas automated measurements were produced using the proprietary software. A p value < 0.05 was considered statistically significant. Twenty-two patients met the inclusion criteria (13 males, 9 females). Mean age of the cohort was 4.9 years (range 0.1–18 years). Average measured CSF volume was similar between the manual and automated methods (169.8 mL vs 172.5 mL, p = 0.56). However, the average time to generate results was significantly shorter with the automated algorithm compared to the manual method (2244 s vs 38.3 s, p < 0.01). In 3/5 symptomatic patients whose neuroimaging was interpreted as stable, the novel algorithm detected the otherwise radiographically undetectable CSF volume changes. The automated software accurately measures the ventricular volumes in pediatric patients with hydrocephalus. The application of this technology is valuable in patients who present clinically without obvious radiographic changes. Future studies with larger cohorts are needed to validate our preliminary findings and further assess the utility of this technology.
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Jha T. R. et al. Prediction of shunt failure facilitated by rapid and accurate volumetric analysis: a single institution’s preliminary experience // Child's Nervous System. 2022. Vol. 38. No. 10. pp. 1907-1912.
GOST all authors (up to 50) Copy
Jha T. R., Quigley M., Mozaffari K., Lathia O., Hofmann K., Myseros J. S., Oluigbo C., Keating R. F. Prediction of shunt failure facilitated by rapid and accurate volumetric analysis: a single institution’s preliminary experience // Child's Nervous System. 2022. Vol. 38. No. 10. pp. 1907-1912.
RIS |
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RIS Copy
TY - JOUR
DO - 10.1007/s00381-022-05552-1
UR - https://doi.org/10.1007/s00381-022-05552-1
TI - Prediction of shunt failure facilitated by rapid and accurate volumetric analysis: a single institution’s preliminary experience
T2 - Child's Nervous System
AU - Jha, Tushar R
AU - Quigley, Mark F.
AU - Mozaffari, Khashayar
AU - Lathia, Orgest
AU - Hofmann, Katherine
AU - Myseros, John S.
AU - Oluigbo, Chima
AU - Keating, Robert F.
PY - 2022
DA - 2022/05/20
PB - Springer Nature
SP - 1907-1912
IS - 10
VL - 38
PMID - 35595938
SN - 0256-7040
SN - 1433-0350
ER -
BibTex |
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@article{2022_Jha,
author = {Tushar R Jha and Mark F. Quigley and Khashayar Mozaffari and Orgest Lathia and Katherine Hofmann and John S. Myseros and Chima Oluigbo and Robert F. Keating},
title = {Prediction of shunt failure facilitated by rapid and accurate volumetric analysis: a single institution’s preliminary experience},
journal = {Child's Nervous System},
year = {2022},
volume = {38},
publisher = {Springer Nature},
month = {may},
url = {https://doi.org/10.1007/s00381-022-05552-1},
number = {10},
pages = {1907--1912},
doi = {10.1007/s00381-022-05552-1}
}
MLA
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Jha, Tushar R., et al. “Prediction of shunt failure facilitated by rapid and accurate volumetric analysis: a single institution’s preliminary experience.” Child's Nervous System, vol. 38, no. 10, May. 2022, pp. 1907-1912. https://doi.org/10.1007/s00381-022-05552-1.