Literature DB >> 29917093

Noninvasive Thermal Evaluation of Ventriculoperitoneal Shunt Patency and Cerebrospinal Fluid Flow Using a Flow Enhancing Device.

Mustafa Q Hameed1, David Zurakowski2, Mark R Proctor1, Scellig S D Stone1, Benjamin C Warf1, Edward R Smith1, Liliana C Goumnerova1, Marek Swoboda3, Tomer Anor1, Joseph R Madsen1.   

Abstract

BACKGROUND: While a noninvasive flow determination would be desirable in the diagnosis of cerebrospinal fluid shunt malfunction, existing studies have not yet defined a role for thermal flow detection.
OBJECTIVE: To evaluate a revised test protocol using a micropumper designed to transiently enhance flow during thermal testing to determine whether thermal detection of flow is associated with progression to shunt revision surgery.
METHODS: Eighty-two unique tests were performed in 71 shunts. The primary outcome, need for revision within 7 d of testing, was compared with results of micropumper-augmented thermal flow detection. Statistical analysis was based on blind interpretation of test results and raw temperature data recorded during testing.
RESULTS: The test was sensitive (73%) and specific (68%) in predicting need for revision, with 5.6-fold higher probability of revision when flow was not detected. Negative predictive value in our sample was 94.2%. The probability of not requiring revision increased with increasing total temperature drop. Analysis of various possible thresholds showed that the optimal temperature cutoff may be lower than suggested by the manufacturer (0.125°C vs 0.2°C).
CONCLUSION: This is the first study to report a strong association between thermal flow evaluation and a clinical impression that a shunt is not malfunctioning. The current recommended threshold may increase the false positive rate unnecessarily, and as clinicians gain experience with the method, they may find value in examining the temperature curves themselves. Multicenter studies are suggested to further define a role for this diagnostic test.
Copyright © 2018 by the Congress of Neurological Surgeons.

Keywords:  Cerebrospinal fluid; Hydrocephalus; Ventriculoperitoneal shunt; Ventriculoperitoneal shunt flow; Ventriculoperitoneal shunt malfunction

Mesh:

Year:  2019        PMID: 29917093     DOI: 10.1093/neuros/nyy246

Source DB:  PubMed          Journal:  Neurosurgery        ISSN: 0148-396X            Impact factor:   4.654


  5 in total

1.  Ventriculoperitoneal Shunt Alone Does Not Guarantee Spinal Cord Protection After Complex Aortic Aneurysm Repair.

Authors:  Arnaud Colle; Philippe De Vloo; Hozan Mufty
Journal:  EJVES Vasc Forum       Date:  2020-08-02

2.  Diagnostic Accuracy of Non-Invasive Thermal Evaluation of Ventriculoperitoneal Shunt Flow in Shunt Malfunction: A Prospective, Multi-Site, Operator-Blinded Study.

Authors:  Joseph R Madsen; Tehnaz P Boyle; Mark I Neuman; Eun-Hyoung Park; Mandeep S Tamber; Robert W Hickey; Gregory G Heuer; Joseph J Zorc; Jeffrey R Leonard; Julie C Leonard; Robert Keating; James M Chamberlain; David M Frim; Paula Zakrzewski; Petra Klinge; Lisa H Merck; Joseph Piatt; Jonathan E Bennett; David I Sandberg; Frederick A Boop; Mustafa Q Hameed
Journal:  Neurosurgery       Date:  2020-10-15       Impact factor: 4.654

3.  Continuous, noninvasive wireless monitoring of flow of cerebrospinal fluid through shunts in patients with hydrocephalus.

Authors:  Siddharth R Krishnan; Hany M Arafa; Kyeongha Kwon; Yujun Deng; Chun-Ju Su; Jonathan T Reeder; Juliet Freudman; Izabela Stankiewicz; Hsuan-Ming Chen; Robert Loza; Marcus Mims; Mitchell Mims; KunHyuck Lee; Zachary Abecassis; Aaron Banks; Diana Ostojich; Manish Patel; Heling Wang; Kaan Börekçi; Joshua Rosenow; Matthew Tate; Yonggang Huang; Tord Alden; Matthew B Potts; Amit B Ayer; John A Rogers
Journal:  NPJ Digit Med       Date:  2020-03-06

4.  Noninvasive thermal evaluation for shunt failure in the emergency room.

Authors:  Jordan Xu; Cassie Poole; Ronald Sahyouni; Jefferson Chen
Journal:  Surg Neurol Int       Date:  2019-12-27

5.  Multimodal Sensing Capabilities for the Detection of Shunt Failure.

Authors:  Milenka Gamero; Woo Seok Kim; Sungcheol Hong; Daniel Vorobiev; Clinton D Morgan; Sung Il Park
Journal:  Sensors (Basel)       Date:  2021-03-03       Impact factor: 3.576

  5 in total

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