Department of Radiology; Department of Cell Biology; New England Center for Stroke Research;
Cardiovascular Diseases | Nervous System Diseases | Neurology | Radiology | Surgical Procedures, Operative
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 microm 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. already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.
CT, CT Angiography, Intervention, Stent, Technology
Rights and 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/
DOI of Published Version
J Neurointerv Surg. 2015 Feb;7(2):118-25. doi: 10.1136/neurintsurg-2013-010950. Link to article on publisher's site.
Journal of neurointerventional surgery
Flood, Thomas F.; van der Bom, Imramsjah M. J.; Strittmatter, Lara; Puri, Ajit S.; Hendricks, Gregory M.; Wakhloo, Ajay K.; and Gounis, Matthew J., "Quantitative analysis of high-resolution, contrast-enhanced, cone-beam CT for the detection of intracranial in-stent hyperplasia" (2015). Radiology Publications and Presentations. 115.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial 3.0 License