Cargando…
Predicting flow diverter sizing using the AneuGuide(TM) software: a validation study
BACKGROUND: Stent sizing remains a challenging task for flow diverter implantation because of stent foreshortening. In this study, we aimed to quantify the change in length after implantation and assess the error in length prediction using AneuGuide(TM) software. METHODS: In a retrospective cohort o...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763218/ https://www.ncbi.nlm.nih.gov/pubmed/35039401 http://dx.doi.org/10.1136/neurintsurg-2021-018353 |
_version_ | 1784853007138029568 |
---|---|
author | Tong, Xin Shan, Yejie Leng, Xiaochang Chen, Jigang Fiehler, Jens Siddiqui, Adnan H Hu, Xuebin Liu, Aihua Xiang, Jianping |
author_facet | Tong, Xin Shan, Yejie Leng, Xiaochang Chen, Jigang Fiehler, Jens Siddiqui, Adnan H Hu, Xuebin Liu, Aihua Xiang, Jianping |
author_sort | Tong, Xin |
collection | PubMed |
description | BACKGROUND: Stent sizing remains a challenging task for flow diverter implantation because of stent foreshortening. In this study, we aimed to quantify the change in length after implantation and assess the error in length prediction using AneuGuide(TM) software. METHODS: In a retrospective cohort of 101 patients with 102 aneurysms undergoing treatment with a pipeline embolization device (PED; Covidien, Irvine, California, USA), we used AneuGuide(TM) software to obtain measured lengths (ML) and calculated lengths (CL) after stent implantation. Stent elongation was defined as the ratio of ML-LL to the labeled length (LL). Simulation error was defined as the ratio of the absolute value of CL-ML to ML. The correlation and consistency between ML and LL and between ML and CL were analyzed using Pearson’s correlation test and the Bland–Altman plot. Statistical significance was set at p<0.05. RESULTS: The mean elongation of ML was 32.6% (range 26.3–109.2%). Moderate consistency was observed between LL and ML (ρ=0.74, p<0.001). With the AneuGuide(TM) software, the mean simulation error was 6.6% (range 0.32–21.2%). Pearson’s correlation test and the Bland–Altman plot showed a high correlation and consistency between ML and CL (ρ=0.96, p<0.001). CONCLUSION: Labeled length provides only a low reference value for predicting the actual length of the flow diverter after implantation. The high consistency between ML and CL obtained from AneuGuide(TM) software shows its great potential for the optimization of the flow diverter sizing process. |
format | Online Article Text |
id | pubmed-9763218 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-97632182022-12-21 Predicting flow diverter sizing using the AneuGuide(TM) software: a validation study Tong, Xin Shan, Yejie Leng, Xiaochang Chen, Jigang Fiehler, Jens Siddiqui, Adnan H Hu, Xuebin Liu, Aihua Xiang, Jianping J Neurointerv Surg New Devices and Techniques BACKGROUND: Stent sizing remains a challenging task for flow diverter implantation because of stent foreshortening. In this study, we aimed to quantify the change in length after implantation and assess the error in length prediction using AneuGuide(TM) software. METHODS: In a retrospective cohort of 101 patients with 102 aneurysms undergoing treatment with a pipeline embolization device (PED; Covidien, Irvine, California, USA), we used AneuGuide(TM) software to obtain measured lengths (ML) and calculated lengths (CL) after stent implantation. Stent elongation was defined as the ratio of ML-LL to the labeled length (LL). Simulation error was defined as the ratio of the absolute value of CL-ML to ML. The correlation and consistency between ML and LL and between ML and CL were analyzed using Pearson’s correlation test and the Bland–Altman plot. Statistical significance was set at p<0.05. RESULTS: The mean elongation of ML was 32.6% (range 26.3–109.2%). Moderate consistency was observed between LL and ML (ρ=0.74, p<0.001). With the AneuGuide(TM) software, the mean simulation error was 6.6% (range 0.32–21.2%). Pearson’s correlation test and the Bland–Altman plot showed a high correlation and consistency between ML and CL (ρ=0.96, p<0.001). CONCLUSION: Labeled length provides only a low reference value for predicting the actual length of the flow diverter after implantation. The high consistency between ML and CL obtained from AneuGuide(TM) software shows its great potential for the optimization of the flow diverter sizing process. BMJ Publishing Group 2023-01 2022-01-17 /pmc/articles/PMC9763218/ /pubmed/35039401 http://dx.doi.org/10.1136/neurintsurg-2021-018353 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | New Devices and Techniques Tong, Xin Shan, Yejie Leng, Xiaochang Chen, Jigang Fiehler, Jens Siddiqui, Adnan H Hu, Xuebin Liu, Aihua Xiang, Jianping Predicting flow diverter sizing using the AneuGuide(TM) software: a validation study |
title | Predicting flow diverter sizing using the AneuGuide(TM) software: a validation study |
title_full | Predicting flow diverter sizing using the AneuGuide(TM) software: a validation study |
title_fullStr | Predicting flow diverter sizing using the AneuGuide(TM) software: a validation study |
title_full_unstemmed | Predicting flow diverter sizing using the AneuGuide(TM) software: a validation study |
title_short | Predicting flow diverter sizing using the AneuGuide(TM) software: a validation study |
title_sort | predicting flow diverter sizing using the aneuguide(tm) software: a validation study |
topic | New Devices and Techniques |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763218/ https://www.ncbi.nlm.nih.gov/pubmed/35039401 http://dx.doi.org/10.1136/neurintsurg-2021-018353 |
work_keys_str_mv | AT tongxin predictingflowdivertersizingusingtheaneuguidetmsoftwareavalidationstudy AT shanyejie predictingflowdivertersizingusingtheaneuguidetmsoftwareavalidationstudy AT lengxiaochang predictingflowdivertersizingusingtheaneuguidetmsoftwareavalidationstudy AT chenjigang predictingflowdivertersizingusingtheaneuguidetmsoftwareavalidationstudy AT fiehlerjens predictingflowdivertersizingusingtheaneuguidetmsoftwareavalidationstudy AT siddiquiadnanh predictingflowdivertersizingusingtheaneuguidetmsoftwareavalidationstudy AT huxuebin predictingflowdivertersizingusingtheaneuguidetmsoftwareavalidationstudy AT liuaihua predictingflowdivertersizingusingtheaneuguidetmsoftwareavalidationstudy AT xiangjianping predictingflowdivertersizingusingtheaneuguidetmsoftwareavalidationstudy |