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Del Brutto VJ, Khasiyev F, Liu M, Spagnolo-Allende A, Qiao Y, Melgarejo Arias JD, Guzman VA, Igwe KC, Sanchez DL, Andrews H, Morales CD, Farrell MT, Bassil DT, Seshadri S, Wagner RG, Mngomezulu V, Manly J, Elkind MSV, Berkman L, Romero JR, Maestre GE, Del Brutto OH, Brickman AM, Venketasubramanian N, Chen C, Robert C, Hilal S, Rundek T, Wasserman BA, Gutierrez J. Association of brain arterial diameters with demographic and anatomical factors in a multi-national pooled analysis of cohort studies. Neuroradiol J 2024; 37:304-313. [PMID: 38148489 PMCID: PMC11138338 DOI: 10.1177/19714009231224429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2023] Open
Abstract
BACKGROUND AND PURPOSE Brain arterial diameters are markers of cerebrovascular disease. Demographic and anatomical factors may influence arterial diameters. We hypothesize that age, sex, height, total cranial volume (TCV), and persistent fetal posterior cerebral artery (fPCA) correlate with brain arterial diameters across populations. METHODS Participants had a time-of-flight MRA from nine international cohorts. Arterial diameters of the cavernous internal carotid arteries (ICA), middle cerebral arteries (MCA), and basilar artery (BA) were measured using LAVA software. Regression models assessed the association between exposures and brain arterial diameters. RESULTS We included 6,518 participants (mean age: 70 ± 9 years; 41% men). Unilateral fPCA was present in 13.2% and bilateral in 3.2%. Larger ICA, MCA, and BA diameters correlated with older age (Weighted average [WA] per 10 years: 0.18 mm, 0.11 mm, and 0.12 mm), male sex (WA: 0.24 mm, 0.13 mm, and 0.21 mm), and TCV (WA: for one TCV standard deviation: 0.24 mm, 0.29 mm, and 0.18 mm). Unilateral and bilateral fPCAs showed a positive correlation with ICA diameters (WA: 0.39 mm and 0.73 mm) and negative correlation with BA diameters (WA: -0.88 mm and -1.73 mm). Regression models including age, sex, TCV, and fPCA explained on average 15%, 13%, and 25% of the ICA, MCA, and BA diameter interindividual variation, respectively. Using height instead of TCV as a surrogate of head size decreased the R-squared by 3% on average. CONCLUSION Brain arterial diameters correlated with age, sex, TCV, and fPCA. These factors should be considered when defining abnormal diameter cutoffs across populations.
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Affiliation(s)
| | | | | | | | - Ye Qiao
- Johns Hopkins University, Baltimore, MD, USA
| | | | | | | | | | | | | | - Meagan T Farrell
- Harvard University, Harvard Center for Population and Development Studies, Cambridge, MA, USA
| | - Darina T Bassil
- Harvard University, Harvard Center for Population and Development Studies, Cambridge, MA, USA
| | | | - Ryan G Wagner
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), University of the Witwatersrand, Johannesburg, South Africa
| | - Victor Mngomezulu
- Department of Diagnostic Radiology, University of the Witwatersrand, Johannesburg, South Africa
| | | | | | - Lisa Berkman
- Harvard University, Harvard Center for Population and Development Studies, Cambridge, MA, USA
| | | | - Gladys E Maestre
- Laboratory of Neuroscience, University of Zulia, Maracaibo, Venezuela
- Institute of Neuroscience, University of Texas Rio Grande Valley, Harlingen, TX, USA
| | | | | | | | - Christopher Chen
- Department of Pharmacology, National University of Singapore, Singapore
- Memory Aging and Cognition Center, National University Health System, Singapore
| | - Caroline Robert
- Department of Pharmacology, National University of Singapore, Singapore
- Memory Aging and Cognition Center, National University Health System, Singapore
| | - Saima Hilal
- Department of Pharmacology, National University of Singapore, Singapore
- Memory Aging and Cognition Center, National University Health System, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | | | - Bruce A Wasserman
- Johns Hopkins University, Baltimore, MD, USA
- University of Maryland School of Medicine, Baltimore, MD, USA
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Garzon-Mancera ND, Khasiyev F, Del Brutto VJ, Spagnolo Allende AJ, Wright CB, Elkind M, Rundek T, Del Brutto OH, Gutierrez J. Validation of bedside manual versus automated measurements of brain arterial diameters from MR angiography. J Neuroimaging 2024. [PMID: 38809240 DOI: 10.1111/jon.13217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 05/06/2024] [Accepted: 05/14/2024] [Indexed: 05/30/2024] Open
Abstract
BACKGROUND AND PURPOSE Brain arterial luminal diameters are reliably measured with automated imaging software. Nonautomated imaging software alternatives such as a Picture Archiving Communication System are more common bedside tools used for manual measurement. This study is aimed at validating manual measurements against automated methods. METHODS We randomly selected 600 participants from the Northern Manhattan Study (NOMAS) and 260 participants from the Atahualpa Project studied with 1.5 Tesla MR angiography. Using the Radiant measuring tool, three independent readers (general practitioner, neurology resident, and vascular neurologist) measured manually the diameter of arterial brain vessels. The same vessels were also measured by LKEB Automated Vessel Analysis (LAVA). We calculated the intraclass correlation coefficient (ICC) of each rater's diameters versus those obtained with LAVA. RESULTS The ICC between diameters obtained by the general practitioner or the neurology resident compared to LAVA was excellent for both internal carotid arteries (ICA) and Basilar Arteries (BA) (ICC > .80 in all comparisons) in NOMAS. In the Atahualpa Project, ICC between diameters obtained by a vascular neurologist and LAVA was good for both ICA and BA (ICC > .60 in all comparisons). The ICCs for the measurements of the remaining arteries were moderate to poor. CONCLUSION Results suggest that manual measurements of ICA and BA diameters, but not MCA or ACA, are valid and could be used to identify dilated brain arteries at the bedside and for eventual selection of patients with dolichoectasia into clinical trials.
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Affiliation(s)
| | - Farid Khasiyev
- Department of Neurology, St. Louis University Hospital, St. Louis, Missouri, USA
| | | | | | | | - Mitchell Elkind
- Department of Neurology, Columbia University Irving Medical Center, New York, New York, USA
| | - Tatjana Rundek
- School of Medicine, University of Miami Miller, Miami, Florida, USA
| | - Oscar H Del Brutto
- School of Medicine and Research Center, Universidad Espiritu Santi, Samborondón, Ecuador
| | - Jose Gutierrez
- Department of Neurology, Columbia University Irving Medical Center, New York, New York, USA
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Del Brutto VJ, Khasiyev F, Omran SS, Purohit M, Liu M, Wright C, Rundek T, Elkind MSV, Sacco RL, Gutierrez J. Association of Brain Arterial Elongation With Risk of Stroke and Death in Stroke-Free Individuals: Results From NOMAS. Arterioscler Thromb Vasc Biol 2023; 43:474-481. [PMID: 36727517 PMCID: PMC9974766 DOI: 10.1161/atvbaha.122.318819] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Accepted: 12/16/2022] [Indexed: 02/03/2023]
Abstract
BACKGROUND Brain arterial dilation and elongation characterize dolichoectasia, an arteriopathy associated with risk of stroke and death. We aim to determine whether brain arterial elongation increases the risk of stroke and death independent of brain arterial diameters. METHODS We analyzed 1210 stroke-free participants (mean age 71±9 years, 41% men, 65% Hispanic) with available time-of-flight magnetic resonance angiogram from the Northern Manhattan Study, a population-based cohort study across a multiethnic urban community. We obtained baseline middle cerebral artery M1-segment (MCA-M1) and basilar artery (BA) mean lengths and diameters using a semi-automated software. Cox proportional hazards models adjusted for brain arterial diameters and potential confounders yielded adjusted hazards ratios with 95% CIs for the primary outcomes of incident stroke and all-cause mortality, as well as secondary outcomes including noncardioembolic stroke, vascular death, and any vascular event. RESULTS Neither MCA-M1 nor BA lengths correlated with incident stroke or all-cause mortality. Both MCA-M1 and BA larger diameters correlated with all-cause mortality (MCA-M1 aHR, 1.52 [95% CI, 1.03-2.23], BA aHR, 1.28 [95% CI, 1.02-1.61]), as well as larger MCA-M1 diameters with vascular death (aHR, 1.84 [95% CI, 1.02-3.31]). Larger MCA-M1 and BA diameters did not correlate with incident stroke. However, larger BA diameters were associated with posterior circulation noncardioembolic stroke (aHR, 2.93 [95% CI, 1.07-8.04]). There were no statistical interactions between brain arterial lengths and diameters in relation to study outcomes. CONCLUSIONS In a multiethnic cohort of stroke-free adults, brain arterial elongation did not correlate with risk of stroke or death, nor influenced the significant association between brain arterial dilation and vascular risk.
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Affiliation(s)
- Victor J. Del Brutto
- Departments of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Farid Khasiyev
- Department of Neurology, Saint Louis University School of Medicine, St. Louis, MO, USA
| | - Setareh Salehi Omran
- Department of Neurology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Meghan Purohit
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Minghua Liu
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Clinton Wright
- National Institute of Neurologic Disorders and Stroke, Bethesda, MD, USA
| | - Tatjana Rundek
- Departments of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Mitchell S. V. Elkind
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Ralph L. Sacco
- Departments of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Jose Gutierrez
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
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