Cargando…
What is the hemodynamic effect of the Woven EndoBridge? An in vivo quantification using time-density curve analysis
PURPOSE: Using the Woven EndoBridge (WEB) for aneurysm treatment has emerged as endovascular approach aiming for flow disruption in aneurysm sac. Since quantifiable data confirming the hemodynamic effect are lacking, we investigated in vivo aneurysmal flow alterations using time-density curve (TDC)...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7366603/ https://www.ncbi.nlm.nih.gov/pubmed/32170371 http://dx.doi.org/10.1007/s00234-020-02390-3 |
_version_ | 1783560253346938880 |
---|---|
author | Gölitz, Philipp Luecking, Hannes Hoelter, Philip Knossalla, Frauke Doerfler, Arnd |
author_facet | Gölitz, Philipp Luecking, Hannes Hoelter, Philip Knossalla, Frauke Doerfler, Arnd |
author_sort | Gölitz, Philipp |
collection | PubMed |
description | PURPOSE: Using the Woven EndoBridge (WEB) for aneurysm treatment has emerged as endovascular approach aiming for flow disruption in aneurysm sac. Since quantifiable data confirming the hemodynamic effect are lacking, we investigated in vivo aneurysmal flow alterations using time-density curve (TDC) analysis. Additionally, we evaluated whether flow parameters could be identified as independent factor to predict aneurysm occlusion. METHODS: Forty cerebral aneurysm patients treated with WEB were enrolled. Pre- and postinterventional digital subtraction angiography series were postprocessed and TDCs generated. TDCs were quantified calculating the parameters aneurysmal inflow velocity, outflow velocity, mean flow velocity, and relative time-to-peak (rTTP) of aneurysm filling. Pre- and postinterventional values were compared and related to occlusion rate. RESULTS: WEB implanting induced highly significant rTTP prolongation by 52% (p = 0.001) and highly significant decrease of aneurysmal inflow, outflow, and mean flow velocity (p < 0.001). While outflow velocity was reduced by 49%, inflow velocity was reduced by 33% only. No statistically significant difference between the occluded and the non-occluded group was observed. No flow parameter reached significance level concerning predicting aneurysm occlusion. CONCLUSION: Flow quantification confirms a significant flow-disrupting effect of WEB reducing more the outflow than the inflow velocity. In our small cohort, no flow parameter reached statistical significance to show predictive value regarding complete aneurysm occlusion. The hemodynamic effect of WEB is on comparable level to flow-diverting stents meaning that aneurysm closure can be delayed. In case of only slight inflow changes and high aneurysmal hemodynamic stress, some aneurysms might not be adequately protected in the short term. |
format | Online Article Text |
id | pubmed-7366603 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-73666032020-07-21 What is the hemodynamic effect of the Woven EndoBridge? An in vivo quantification using time-density curve analysis Gölitz, Philipp Luecking, Hannes Hoelter, Philip Knossalla, Frauke Doerfler, Arnd Neuroradiology Interventional Neuroradiology PURPOSE: Using the Woven EndoBridge (WEB) for aneurysm treatment has emerged as endovascular approach aiming for flow disruption in aneurysm sac. Since quantifiable data confirming the hemodynamic effect are lacking, we investigated in vivo aneurysmal flow alterations using time-density curve (TDC) analysis. Additionally, we evaluated whether flow parameters could be identified as independent factor to predict aneurysm occlusion. METHODS: Forty cerebral aneurysm patients treated with WEB were enrolled. Pre- and postinterventional digital subtraction angiography series were postprocessed and TDCs generated. TDCs were quantified calculating the parameters aneurysmal inflow velocity, outflow velocity, mean flow velocity, and relative time-to-peak (rTTP) of aneurysm filling. Pre- and postinterventional values were compared and related to occlusion rate. RESULTS: WEB implanting induced highly significant rTTP prolongation by 52% (p = 0.001) and highly significant decrease of aneurysmal inflow, outflow, and mean flow velocity (p < 0.001). While outflow velocity was reduced by 49%, inflow velocity was reduced by 33% only. No statistically significant difference between the occluded and the non-occluded group was observed. No flow parameter reached significance level concerning predicting aneurysm occlusion. CONCLUSION: Flow quantification confirms a significant flow-disrupting effect of WEB reducing more the outflow than the inflow velocity. In our small cohort, no flow parameter reached statistical significance to show predictive value regarding complete aneurysm occlusion. The hemodynamic effect of WEB is on comparable level to flow-diverting stents meaning that aneurysm closure can be delayed. In case of only slight inflow changes and high aneurysmal hemodynamic stress, some aneurysms might not be adequately protected in the short term. Springer Berlin Heidelberg 2020-03-13 2020 /pmc/articles/PMC7366603/ /pubmed/32170371 http://dx.doi.org/10.1007/s00234-020-02390-3 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Interventional Neuroradiology Gölitz, Philipp Luecking, Hannes Hoelter, Philip Knossalla, Frauke Doerfler, Arnd What is the hemodynamic effect of the Woven EndoBridge? An in vivo quantification using time-density curve analysis |
title | What is the hemodynamic effect of the Woven EndoBridge? An in vivo quantification using time-density curve analysis |
title_full | What is the hemodynamic effect of the Woven EndoBridge? An in vivo quantification using time-density curve analysis |
title_fullStr | What is the hemodynamic effect of the Woven EndoBridge? An in vivo quantification using time-density curve analysis |
title_full_unstemmed | What is the hemodynamic effect of the Woven EndoBridge? An in vivo quantification using time-density curve analysis |
title_short | What is the hemodynamic effect of the Woven EndoBridge? An in vivo quantification using time-density curve analysis |
title_sort | what is the hemodynamic effect of the woven endobridge? an in vivo quantification using time-density curve analysis |
topic | Interventional Neuroradiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7366603/ https://www.ncbi.nlm.nih.gov/pubmed/32170371 http://dx.doi.org/10.1007/s00234-020-02390-3 |
work_keys_str_mv | AT golitzphilipp whatisthehemodynamiceffectofthewovenendobridgeaninvivoquantificationusingtimedensitycurveanalysis AT lueckinghannes whatisthehemodynamiceffectofthewovenendobridgeaninvivoquantificationusingtimedensitycurveanalysis AT hoelterphilip whatisthehemodynamiceffectofthewovenendobridgeaninvivoquantificationusingtimedensitycurveanalysis AT knossallafrauke whatisthehemodynamiceffectofthewovenendobridgeaninvivoquantificationusingtimedensitycurveanalysis AT doerflerarnd whatisthehemodynamiceffectofthewovenendobridgeaninvivoquantificationusingtimedensitycurveanalysis |