Literature DB >> 20150313

Programmable CSF shunt valves: radiographic identification and interpretation.

S Scott Lollis1, A C Mamourian, T J Vaccaro, A-C Duhaime.   

Abstract

The programmable CSF shunt valve has become an important tool in hydrocephalus treatment, particularly in the NPH population and in pediatric patients with complex hydrocephalus. The purpose of this study is to provide a single reference for the identification of programmable shunt valves and the interpretation of programmable shunt valve settings. Four major manufacturers of programmable shunts agreed to participate in this study. Each provided radiographic images and legends for their appropriate interpretation. Issues of MR imaging compatibility for each valve are also discussed.

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Year:  2010        PMID: 20150313      PMCID: PMC7965480          DOI: 10.3174/ajnr.A1997

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  5 in total

1.  Programmable shunt radiography.

Authors:  A R Schleipman; N O Bailey
Journal:  Radiol Technol       Date:  2001 Nov-Dec

2.  Programmable CSF shunt valve: in vitro assessment of MR imaging safety at 3T.

Authors:  F G Shellock; R Habibi; J Knebel
Journal:  AJNR Am J Neuroradiol       Date:  2006-03       Impact factor: 3.825

Review 3.  Have we made progress in preventing shunt failure? A critical analysis.

Authors:  Sherman C Stein; Wensheng Guo
Journal:  J Neurosurg Pediatr       Date:  2008-01       Impact factor: 2.375

4.  Epidemiology of cerebrospinal fluid shunting.

Authors:  C P Bondurant; D F Jimenez
Journal:  Pediatr Neurosurg       Date:  1995       Impact factor: 1.162

Review 5.  The diagnosis and treatment of idiopathic normal pressure hydrocephalus.

Authors:  Gary L Gallia; Daniele Rigamonti; Michael A Williams
Journal:  Nat Clin Pract Neurol       Date:  2006-07
  5 in total
  14 in total

Review 1.  Magnetic resonance imaging in children with implants.

Authors:  Camilo Jaimes; Diane Biaggotti; Gayathri Sreedher; Apeksha Chaturvedi; Michael M Moore; Amy R Danehy
Journal:  Pediatr Radiol       Date:  2021-04-19

2.  SSh versus TSE sequence protocol in rapid MR examination of pediatric patients with programmable drainage system.

Authors:  Eva Brichtová; J Šenkyřík
Journal:  Childs Nerv Syst       Date:  2017-03-24       Impact factor: 1.475

Review 3.  Shunt Devices for Neurointensivists: Complications and Management.

Authors:  G Smith; J Pace; A Scoco; G Singh; K Kandregula; S Manjila; C Ramos-Estebanez
Journal:  Neurocrit Care       Date:  2017-10       Impact factor: 3.210

Review 4.  Neuroimaging of ventriculoperitoneal shunt complications in children.

Authors:  Ahilan Sivaganesan; Rajesh Krishnamurthy; Deshdeepak Sahni; Chitra Viswanathan
Journal:  Pediatr Radiol       Date:  2012-06-28

5.  Ventricular shunt complications in patients undergoing posterior vault distraction osteogenesis.

Authors:  Anthony Azzolini; Katie Magoon; Robin Yang; Scott Bartlett; Jordan Swanson; Jesse Taylor
Journal:  Childs Nerv Syst       Date:  2019-11-06       Impact factor: 1.475

6.  A novel microneedle array for the treatment of hydrocephalus.

Authors:  Jonghyun Oh; Kewei Liu; Tim Medina; Francis Kralick; Hongseok Moses Noh
Journal:  Microsyst Technol       Date:  2014-06-01       Impact factor: 2.276

7.  The hydrokinetic parameters of shunts for hydrocephalus might be inadequate.

Authors:  Julio Sotelo
Journal:  Surg Neurol Int       Date:  2012-03-24

8.  Shunt Overdrainage Caused by Displacement of the Pressure Control Cam after Pressure Adjustment.

Authors:  Su-Ho Kim; Yoon-Soo Lee; Min-Seok Lee; Sang-Jun Suh; Jeong-Ho Lee; Dong-Gee Kang
Journal:  Korean J Neurotrauma       Date:  2016-10-31

9.  Clinical value of radionuclide shuntography by qualitative methods in hydrocephalic adult patients with suspected ventriculoperitoneal shunt malfunction.

Authors:  Szu-Ying Tsai; Shan-Ying Wang; Yu-Chien Shiau; Lin-Hsue Yang; Yen-Wen Wu
Journal:  Medicine (Baltimore)       Date:  2017-04       Impact factor: 1.889

10.  MRI Compatibility: Automatic Brain Shunt Valve Recognition using Feature Engineering and Deep Convolutional Neural Networks.

Authors:  Luca Giancardo; Octavio Arevalo; Andrea Tenreiro; Roy Riascos; Eliana Bonfante
Journal:  Sci Rep       Date:  2018-10-30       Impact factor: 4.379

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