Literature DB >> 35595938

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

Tushar R Jha1, Mark F Quigley1, Khashayar Mozaffari2, Orgest Lathia1, Katherine Hofmann1, John S Myseros1, Chima Oluigbo1, Robert F Keating1.   

Abstract

BACKGROUND: 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.
METHODS: 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.
RESULTS: 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.
CONCLUSION: 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.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Hydrocephalus; Shunt failure; Volumetric analysis

Mesh:

Year:  2022        PMID: 35595938     DOI: 10.1007/s00381-022-05552-1

Source DB:  PubMed          Journal:  Childs Nerv Syst        ISSN: 0256-7040            Impact factor:   1.532


  25 in total

Review 1.  Pediatric Hydrocephalus: Current State of Diagnosis and Treatment.

Authors:  Zachary Wright; Thomas W Larrew; Ramin Eskandari
Journal:  Pediatr Rev       Date:  2016-11

2.  The economic impact of ventriculoperitoneal shunt failure.

Authors:  Chevis N Shannon; Tamara D Simon; Gavin T Reed; Frank A Franklin; Russell S Kirby; Meredith L Kilgore; John C Wellons
Journal:  J Neurosurg Pediatr       Date:  2011-12       Impact factor: 2.375

Review 3.  Neuroimaging in Pediatric Hydrocephalus.

Authors:  Pradeep Krishnan; Charles Raybaud; Sunitha Palasamudram; Manohar Shroff
Journal:  Indian J Pediatr       Date:  2019-05-10       Impact factor: 1.967

4.  Predicting shunt failure on the basis of clinical symptoms and signs in children.

Authors:  H J Garton; J R Kestle; J M Drake
Journal:  J Neurosurg       Date:  2001-02       Impact factor: 5.115

Review 5.  CSF Flow in the Brain in the Context of Normal Pressure Hydrocephalus.

Authors:  W G Bradley
Journal:  AJNR Am J Neuroradiol       Date:  2014-10-29       Impact factor: 3.825

Review 6.  Infantile hydrocephalus: a review of epidemiology, classification and causes.

Authors:  Hannah M Tully; William B Dobyns
Journal:  Eur J Med Genet       Date:  2014-06-13       Impact factor: 2.708

7.  Hospital care for children with hydrocephalus in the United States: utilization, charges, comorbidities, and deaths.

Authors:  Tamara D Simon; Jay Riva-Cambrin; Raj Srivastava; Susan L Bratton; J Michael Dean; John R W Kestle
Journal:  J Neurosurg Pediatr       Date:  2008-02       Impact factor: 2.375

8.  Clinical diagnosis of ventriculoperitoneal shunt failure among children with hydrocephalus.

Authors:  Joseph H Piatt; Hugh J L Garton
Journal:  Pediatr Emerg Care       Date:  2008-04       Impact factor: 1.454

9.  Revision rate of pediatric ventriculoperitoneal shunts after 15 years.

Authors:  Jonathan J Stone; Corey T Walker; Maxwell Jacobson; Valerie Phillips; Howard J Silberstein
Journal:  J Neurosurg Pediatr       Date:  2012-10-26       Impact factor: 2.375

10.  Pediatric Ventriculoperitoneal Shunts and their Complications: An Analysis.

Authors:  Nitin Agarwal; Ram Mohan Shukla; Deepika Agarwal; Kaustubh Gupta; Rohtash Luthra; Jalaj Gupta; Sunny Jain
Journal:  J Indian Assoc Pediatr Surg       Date:  2017 Jul-Sep
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