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Published in: Child's Nervous System 12/2019

01-12-2019 | Angiography | Technical Notes

Quantitative color-coded digital subtraction neuroangiography for pediatric arteriovenous shunting lesions

Authors: Grace M. Y. Ma, Adam A. Dmytriw, Premal A. Patel, Nicholas Shkumat, Timo Krings, Manohar M. Shroff, Prakash Muthusami

Published in: Child's Nervous System | Issue 12/2019

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Abstract

Background

Several complex pediatric neurovascular conditions are amenable to endovascular treatment. Given the unique anatomical and physiological challenges in children, there is an ongoing need for tools and techniques that provide accurate information for treatment planning, while minimizing exposure to ionizing radiation and contrast. This is more so for neonates and infants with high-flow arteriovenous (AV) shunts that are challenging to assess using conventional techniques.

Objective

In this brief report, we describe, through representative cases, the potential role of quantitative color-coded digital subtraction angiography (qDSA) in neuroendovascular procedures in children with high-flow AV shunting lesions.

Methods

Images were obtained using an ArtisQ biplane system (Siemens Healthineers, Erlangen, Germany). Post-processing was performed at a dedicated workstation (Syngo, Siemens) using the iFlow module to generate color-coded maps of individual digital subtraction angiography runs.

Conclusion

Color-coded qDSA provides real-time quantitative information in high-flow AV shunting neurovascular lesions. This can potentially help direct treatment choices, optimize endovascular treatment protocols, monitor outcomes, and determine treatment end points.
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Metadata
Title
Quantitative color-coded digital subtraction neuroangiography for pediatric arteriovenous shunting lesions
Authors
Grace M. Y. Ma
Adam A. Dmytriw
Premal A. Patel
Nicholas Shkumat
Timo Krings
Manohar M. Shroff
Prakash Muthusami
Publication date
01-12-2019
Publisher
Springer Berlin Heidelberg
Published in
Child's Nervous System / Issue 12/2019
Print ISSN: 0256-7040
Electronic ISSN: 1433-0350
DOI
https://doi.org/10.1007/s00381-019-04289-8

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