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Application of High-Resolution Flat Detector Computed Tomography in Stent Implantation for Intracranial Atherosclerotic Stenosis
OBJECTIVE: To evaluate the utility of high-resolution flat-detector computed tomography (HR-FDCT) compared with conventional flat-detector computed tomography (FDCT) for stent placement in symptomatic intracranial atherosclerotic stenosis (ICAS). METHODS: We retrospectively reviewed the clinical dat...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8429824/ https://www.ncbi.nlm.nih.gov/pubmed/34512235 http://dx.doi.org/10.3389/fnins.2021.655594 |
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author | Li, Tengfei Wang, Yuting Ma, Ji Levitt, Michael Mossa-Basha, Mahmud Shi, Chengcheng Ran, Yuncai Ren, Jianzhuang Han, Xinwei Zhu, Chengcheng |
author_facet | Li, Tengfei Wang, Yuting Ma, Ji Levitt, Michael Mossa-Basha, Mahmud Shi, Chengcheng Ran, Yuncai Ren, Jianzhuang Han, Xinwei Zhu, Chengcheng |
author_sort | Li, Tengfei |
collection | PubMed |
description | OBJECTIVE: To evaluate the utility of high-resolution flat-detector computed tomography (HR-FDCT) compared with conventional flat-detector computed tomography (FDCT) for stent placement in symptomatic intracranial atherosclerotic stenosis (ICAS). METHODS: We retrospectively reviewed the clinical data of 116 patients with symptomatic ICAS who underwent stent implantation. Images were acquired using conventional FDCT [voxel size = 0.43 mm (isotropic)] and HR-FDCT [voxel size = 0.15 mm (isotropic)]. Immediately after stent deployment, dual-volume three-dimensional (3D) fusion images were obtained from 3D digital subtraction angiography (DSA) and HR-FDCT. The image quality for stent visualization was graded from 0 to 2 (0: not able to assess; 1: limited, but able to assess; 2: clear visualization), and the stent-expansion status (“full,” “under-expanded” or “poor apposition”) was recorded. RESULTS: A total of 116 patients with symptomatic ICAS were treated successfully using 116 stents (58 Neuroform(TM) EZ, 42 Enterprise(TM), and 16 Apollo(TM)). The mean pre-stent stenosis was 80.5 ± 6.4%, which improved to 20.8 ± 6.9% after stenting. Compared with FDCT, HR-FDCT improved visualization of the fine structures of the stent to improve the image quality that significantly (mean score: 1.63 ± 0.60 vs. 0.41 ± 0.59, P < 0.001). In 19 patients, stent under-expansion (n = 11) or poor apposition (n = 8) was identified by HR-FDCT but not by conventional FDCT. After balloon dilatation, stent malapposition was shown to have improved on HR-FDCT. None of the 19 patients with stent malapposition experienced short-term complications during hospitalization or had in-stent stenosis at 6-month follow-up. CONCLUSION: High-resolution flat-detector computed tomography (HR-FDCT) improves visualization of the fine structures of intracranial stents deployed for symptomatic ICAS compared with that visualized using conventional FDCT. High-resolution flat-detector computed tomography improves assessment of stent deployment and could reduce the risk of complications. |
format | Online Article Text |
id | pubmed-8429824 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84298242021-09-11 Application of High-Resolution Flat Detector Computed Tomography in Stent Implantation for Intracranial Atherosclerotic Stenosis Li, Tengfei Wang, Yuting Ma, Ji Levitt, Michael Mossa-Basha, Mahmud Shi, Chengcheng Ran, Yuncai Ren, Jianzhuang Han, Xinwei Zhu, Chengcheng Front Neurosci Neuroscience OBJECTIVE: To evaluate the utility of high-resolution flat-detector computed tomography (HR-FDCT) compared with conventional flat-detector computed tomography (FDCT) for stent placement in symptomatic intracranial atherosclerotic stenosis (ICAS). METHODS: We retrospectively reviewed the clinical data of 116 patients with symptomatic ICAS who underwent stent implantation. Images were acquired using conventional FDCT [voxel size = 0.43 mm (isotropic)] and HR-FDCT [voxel size = 0.15 mm (isotropic)]. Immediately after stent deployment, dual-volume three-dimensional (3D) fusion images were obtained from 3D digital subtraction angiography (DSA) and HR-FDCT. The image quality for stent visualization was graded from 0 to 2 (0: not able to assess; 1: limited, but able to assess; 2: clear visualization), and the stent-expansion status (“full,” “under-expanded” or “poor apposition”) was recorded. RESULTS: A total of 116 patients with symptomatic ICAS were treated successfully using 116 stents (58 Neuroform(TM) EZ, 42 Enterprise(TM), and 16 Apollo(TM)). The mean pre-stent stenosis was 80.5 ± 6.4%, which improved to 20.8 ± 6.9% after stenting. Compared with FDCT, HR-FDCT improved visualization of the fine structures of the stent to improve the image quality that significantly (mean score: 1.63 ± 0.60 vs. 0.41 ± 0.59, P < 0.001). In 19 patients, stent under-expansion (n = 11) or poor apposition (n = 8) was identified by HR-FDCT but not by conventional FDCT. After balloon dilatation, stent malapposition was shown to have improved on HR-FDCT. None of the 19 patients with stent malapposition experienced short-term complications during hospitalization or had in-stent stenosis at 6-month follow-up. CONCLUSION: High-resolution flat-detector computed tomography (HR-FDCT) improves visualization of the fine structures of intracranial stents deployed for symptomatic ICAS compared with that visualized using conventional FDCT. High-resolution flat-detector computed tomography improves assessment of stent deployment and could reduce the risk of complications. Frontiers Media S.A. 2021-08-27 /pmc/articles/PMC8429824/ /pubmed/34512235 http://dx.doi.org/10.3389/fnins.2021.655594 Text en Copyright © 2021 Li, Wang, Ma, Levitt, Mossa-Basha, Shi, Ran, Ren, Han and Zhu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Li, Tengfei Wang, Yuting Ma, Ji Levitt, Michael Mossa-Basha, Mahmud Shi, Chengcheng Ran, Yuncai Ren, Jianzhuang Han, Xinwei Zhu, Chengcheng Application of High-Resolution Flat Detector Computed Tomography in Stent Implantation for Intracranial Atherosclerotic Stenosis |
title | Application of High-Resolution Flat Detector Computed Tomography in Stent Implantation for Intracranial Atherosclerotic Stenosis |
title_full | Application of High-Resolution Flat Detector Computed Tomography in Stent Implantation for Intracranial Atherosclerotic Stenosis |
title_fullStr | Application of High-Resolution Flat Detector Computed Tomography in Stent Implantation for Intracranial Atherosclerotic Stenosis |
title_full_unstemmed | Application of High-Resolution Flat Detector Computed Tomography in Stent Implantation for Intracranial Atherosclerotic Stenosis |
title_short | Application of High-Resolution Flat Detector Computed Tomography in Stent Implantation for Intracranial Atherosclerotic Stenosis |
title_sort | application of high-resolution flat detector computed tomography in stent implantation for intracranial atherosclerotic stenosis |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8429824/ https://www.ncbi.nlm.nih.gov/pubmed/34512235 http://dx.doi.org/10.3389/fnins.2021.655594 |
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