Literature DB >> 24120968

Infusion-line pressure as a real-time monitor of convection-enhanced delivery in pre-clinical models.

Miu Fei Lam1, Stacy W L Foo, Meghan G Thomas, Christopher R P Lind.   

Abstract

BACKGROUND: Acute convection-enhanced delivery (CED) is a neurosurgical delivery technique that allows for precise and uniform distribution of an infusate to a brain structure. It remains experimental due to difficulties in ensuring successful delivery. Real-time monitoring is able to provide immediate feedback on cannula placement, infusate distribution, and if the infusion is proceeding as planned or is failing due to reflux or catheter obstruction. NEW
METHOD: Pressure gradient is the driving force behind CED, with the infusion pressure being directly proportional to the flow-rate. The aim of this study was to assess the feasibility of using infusion-line pressure profiling to distinguish in real-time between succeeding and failing CED infusions. To do so we delivered cresyl violet dye at 0.5, 1.0 and 2.0 μl/min via CED in vitro using 0.6% agarose gel and in vivo to the rat striatum.
RESULTS: Infusions that failed in agarose gel models could only be differentiated late during the procedures. In the rat in vivo model, the infusion-line profiles of obstructed infusions were not distinctive from those of successful infusions. COMPARISON WITH EXISTING
METHOD: Intraoperative magnetic resonance imaging (MRI) is used for real-time visualisation of cannula placement and infusate distribution. Particularly for animal pre-clinical work, it would be advantageous to supplement MRI with a cheap, accessible technique to monitor infusions and provide a real-time measure of infusion success or failure.
CONCLUSIONS: Infusion-line pressure monitoring was of limited value in identifying successful CED with small volume infusions, whilst its utility for large volume infusion remains unknown. Crown
Copyright © 2013. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Convection enhanced delivery; Infusion-line pressure monitoring; Parkinson's disease; Pre-clinical model

Mesh:

Substances:

Year:  2013        PMID: 24120968     DOI: 10.1016/j.jneumeth.2013.09.019

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  2 in total

1.  Convection-enhanced delivery with controlled catheter movement: A parametric finite element analysis.

Authors:  Jason N Mehta; Manuel K Rausch; Christopher G Rylander
Journal:  Int J Numer Method Biomed Eng       Date:  2022-07-15       Impact factor: 2.648

2.  Constant Pressure Convection-Enhanced Delivery Increases Volume Dispersed With Catheter Movement in Agarose.

Authors:  Jason N Mehta; Brianna E Morales; Fang-Chi Hsu; John H Rossmeisl; Christopher G Rylander
Journal:  J Biomech Eng       Date:  2022-11-01       Impact factor: 1.899

  2 in total

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