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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...

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Autores principales: Tong, Xin, Shan, Yejie, Leng, Xiaochang, Chen, Jigang, Fiehler, Jens, Siddiqui, Adnan H, Hu, Xuebin, Liu, Aihua, Xiang, Jianping
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
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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.
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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
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