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Quantitative analysis of high-resolution, contrast-enhanced, cone-beam CT for the detection of intracranial in-stent hyperplasia
BACKGROUND: Intracranial in-stent hyperplasia is a stroke-associated complication that requires routine surveillance. OBJECTIVE: To compare the results of in vivo experiments to determine the accuracy and precision of in-stent hyperplasia measurements obtained with modified C-arm contrast-enhanced,...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4316917/ https://www.ncbi.nlm.nih.gov/pubmed/24480728 http://dx.doi.org/10.1136/neurintsurg-2013-010950 |
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author | Flood, Thomas F van der Bom, Imramsjah M J Strittmatter, Lara Puri, Ajit S Hendricks, Gregory M Wakhloo, Ajay K Gounis, Matthew J |
author_facet | Flood, Thomas F van der Bom, Imramsjah M J Strittmatter, Lara Puri, Ajit S Hendricks, Gregory M Wakhloo, Ajay K Gounis, Matthew J |
author_sort | Flood, Thomas F |
collection | PubMed |
description | BACKGROUND: Intracranial in-stent hyperplasia is a stroke-associated complication that requires routine surveillance. OBJECTIVE: To compare the results of in vivo experiments to determine the accuracy and precision of in-stent hyperplasia measurements obtained with modified C-arm contrast-enhanced, cone-beam CT (CE-CBCT) imaging with those obtained by ‘gold standard’ histomorphometry. Additionally, to carry out clinical analyses comparing this CE-CBCT protocol with digital subtraction angiography (DSA). METHODS: A non-binned CE-CBCT protocol (VasoCT) was used that acquires x-ray images with a small field-of-view and applies a full-scale reconstruction algorithm providing high-resolution three-dimensional (3D) imaging with 100 µm isotropic voxels. In an vivo porcine model, VasoCT cross-sectional area measurements were compared with gold standard vessel histology. VasoCT and DSA were used to calculate in-stent stenosis in 23 imaging studies. RESULTS: Porcine VasoCT cross-sectional stent, lumen, and in-stent hyperplasia areas strongly correlated with histological measurements (r(2)=0.97, 0.93, 0.90; slope=1.14, 1.07, and 0.76, respectively; p<0.0001). Clinical VasoCT percentage stenosis correlated well with DSA percentage stenosis (r(2)=0.84; slope=0.76), and the two techniques were free of consistent bias (Bland–Altman, bias=3.29%; 95% CI −14.75% to 21.33%). An illustrative clinical case demonstrated the advantages of VasoCT, including 3D capability and non-invasive IV contrast administration, for detection of in-stent hyperplasia. CONCLUSIONS: C-arm VasoCT is a high-resolution 3D capable imaging technique that has been validated in an animal model for measurement of in-stent tissue growth. Successful clinical implementation of the protocol was performed in a small case series. |
format | Online Article Text |
id | pubmed-4316917 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-43169172015-02-11 Quantitative analysis of high-resolution, contrast-enhanced, cone-beam CT for the detection of intracranial in-stent hyperplasia Flood, Thomas F van der Bom, Imramsjah M J Strittmatter, Lara Puri, Ajit S Hendricks, Gregory M Wakhloo, Ajay K Gounis, Matthew J J Neurointerv Surg Basic Science BACKGROUND: Intracranial in-stent hyperplasia is a stroke-associated complication that requires routine surveillance. OBJECTIVE: To compare the results of in vivo experiments to determine the accuracy and precision of in-stent hyperplasia measurements obtained with modified C-arm contrast-enhanced, cone-beam CT (CE-CBCT) imaging with those obtained by ‘gold standard’ histomorphometry. Additionally, to carry out clinical analyses comparing this CE-CBCT protocol with digital subtraction angiography (DSA). METHODS: A non-binned CE-CBCT protocol (VasoCT) was used that acquires x-ray images with a small field-of-view and applies a full-scale reconstruction algorithm providing high-resolution three-dimensional (3D) imaging with 100 µm isotropic voxels. In an vivo porcine model, VasoCT cross-sectional area measurements were compared with gold standard vessel histology. VasoCT and DSA were used to calculate in-stent stenosis in 23 imaging studies. RESULTS: Porcine VasoCT cross-sectional stent, lumen, and in-stent hyperplasia areas strongly correlated with histological measurements (r(2)=0.97, 0.93, 0.90; slope=1.14, 1.07, and 0.76, respectively; p<0.0001). Clinical VasoCT percentage stenosis correlated well with DSA percentage stenosis (r(2)=0.84; slope=0.76), and the two techniques were free of consistent bias (Bland–Altman, bias=3.29%; 95% CI −14.75% to 21.33%). An illustrative clinical case demonstrated the advantages of VasoCT, including 3D capability and non-invasive IV contrast administration, for detection of in-stent hyperplasia. CONCLUSIONS: C-arm VasoCT is a high-resolution 3D capable imaging technique that has been validated in an animal model for measurement of in-stent tissue growth. Successful clinical implementation of the protocol was performed in a small case series. BMJ Publishing Group 2015-02 2014-01-30 /pmc/articles/PMC4316917/ /pubmed/24480728 http://dx.doi.org/10.1136/neurintsurg-2013-010950 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 3.0) 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 and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/3.0/ |
spellingShingle | Basic Science Flood, Thomas F van der Bom, Imramsjah M J Strittmatter, Lara Puri, Ajit S Hendricks, Gregory M Wakhloo, Ajay K Gounis, Matthew J Quantitative analysis of high-resolution, contrast-enhanced, cone-beam CT for the detection of intracranial in-stent hyperplasia |
title | Quantitative analysis of high-resolution, contrast-enhanced, cone-beam CT for the detection of intracranial in-stent hyperplasia |
title_full | Quantitative analysis of high-resolution, contrast-enhanced, cone-beam CT for the detection of intracranial in-stent hyperplasia |
title_fullStr | Quantitative analysis of high-resolution, contrast-enhanced, cone-beam CT for the detection of intracranial in-stent hyperplasia |
title_full_unstemmed | Quantitative analysis of high-resolution, contrast-enhanced, cone-beam CT for the detection of intracranial in-stent hyperplasia |
title_short | Quantitative analysis of high-resolution, contrast-enhanced, cone-beam CT for the detection of intracranial in-stent hyperplasia |
title_sort | quantitative analysis of high-resolution, contrast-enhanced, cone-beam ct for the detection of intracranial in-stent hyperplasia |
topic | Basic Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4316917/ https://www.ncbi.nlm.nih.gov/pubmed/24480728 http://dx.doi.org/10.1136/neurintsurg-2013-010950 |
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