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von Oiste GG, Sangwon KL, Chung C, Narayan V, Raz E, Shapiro M, Rutledge C, Nelson PK, Ishida K, Torres JL, Rostanski SK, Zhang C, Yaghi S, Riina H, Oermann EK, Nossek E. Use of Carotid Web Angioarchitecture for Stroke Risk Assessment. World Neurosurg 2024; 182:e245-e252. [PMID: 38006939 DOI: 10.1016/j.wneu.2023.11.091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Accepted: 11/19/2023] [Indexed: 11/27/2023]
Abstract
OBJECTIVE To examine the usefulness of carotid web (CW), carotid bifurcation and their combined angioarchitectural measurements in assessing stroke risk. METHODS Anatomic data on the internal carotid artery (ICA), common carotid artery (CCA), and the CW were gathered as part of a retrospective study from symptomatic (stroke) and asymptomatic (nonstroke) patients with CW. We built a model of stroke risk using principal-component analysis, Firth regression trained with 5-fold cross-validation, and heuristic binary cutoffs based on the Minimal Description Length principle. RESULTS The study included 22 patients, with a mean age of 55.9 ± 12.8 years; 72.9% were female. Eleven patients experienced an ischemic stroke. The first 2 principal components distinguished between patients with stroke and patients without stroke. The model showed that ICA-pouch tip angle (P = 0.036), CCA-pouch tip angle (P = 0.036), ICA web-pouch angle (P = 0.036), and CCA web-pouch angle (P = 0.036) are the most important features associated with stroke risk. Conversely, CCA and ICA anatomy (diameter and angle) were not found to be risk factors. CONCLUSIONS This pilot study shows that using data from computed tomography angiography, carotid bifurcation, and CW angioarchitecture may be used to assess stroke risk, allowing physicians to tailor care for each patient according to risk stratification.
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Affiliation(s)
- Grace G von Oiste
- Department of Neurosurgery, NYU Langone Health, New York, New York, USA
| | - Karl L Sangwon
- Department of Neurosurgery, NYU Langone Health, New York, New York, USA.
| | - Charlotte Chung
- Department of Neurosurgery, NYU Langone Health, New York, New York, USA
| | - Vinayak Narayan
- Department of Radiology, NYU Langone Health, New York, New York, USA
| | - Eytan Raz
- Department of Radiology, NYU Langone Health, New York, New York, USA
| | - Maksim Shapiro
- Department of Radiology, NYU Langone Health, New York, New York, USA
| | - Caleb Rutledge
- Department of Radiology, NYU Langone Health, New York, New York, USA
| | - Peter Kim Nelson
- Department of Radiology, NYU Langone Health, New York, New York, USA
| | - Koto Ishida
- Department of Neurology, NYU Langone Health, New York, New York, USA
| | - Jose L Torres
- Department of Neurology, NYU Langone Health, New York, New York, USA
| | - Sara K Rostanski
- Department of Neurology, NYU Langone Health, New York, New York, USA
| | - Cen Zhang
- Department of Neurology, NYU Langone Health, New York, New York, USA
| | - Shadi Yaghi
- Department of Neurology, The Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Howard Riina
- Department of Neurosurgery, NYU Langone Health, New York, New York, USA
| | - Eric K Oermann
- Department of Neurosurgery, NYU Langone Health, New York, New York, USA
| | - Erez Nossek
- Department of Neurosurgery, NYU Langone Health, New York, New York, USA
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