ArticleChild's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery2019
Quantitative color-coded digital subtraction neuroangiography for pediatric arteriovenous shunting lesions.
Article in Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed, 4 citations in OpenAlex.
- Renovascular hypertension in children.CVIR endovascular · 2021Review
- Interrater Reliability in the Measurement of Flow Characteristics on Color-Coded Quantitative DSA of Brain AVMs.AJNR. American journal of neuroradiology · 2020Article
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Authors and funding
7 authors at 3 institutions in 2 countries.
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Abstract
backgroundSeveral 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.
objectiveIn 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.
methodsImages 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.
conclusionColor-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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