Association of brain arterial diameters with demographic and anatomical factors in a multi-national pooled analysis of cohort studies Article Swipe
Víctor J. Del Brutto
,
Farid Khasiyev
,
Minghua Liu
,
Antonio Spagnolo‐Allende
,
Ye Qiao
,
Jesus D Melgarejo Arias
,
Vanessa A. Guzman
,
Kay C. Igwe
,
Danurys Sanchez
,
Howard Andrews
,
Clarissa Morales
,
Meagan T. Farrell
,
Darina T. Bassil
,
Sudha Seshadri
,
Ryan G. Wagner
,
Victor Mngomezulu
,
Jennifer J. Manly
,
Mitchell S.V. Elkind
,
Lisa Berkman
,
José R. Romero
,
Gladys E. Maestre
,
Óscar H. Del Brutto
,
Adam M. Brickman
,
Narayanaswamy Venketasubramanian
,
Christopher Chen
,
Caroline Robert
,
Saima Hilal
,
Tatjana Rundek
,
Bruce A. Wasserman
,
José Gutierrez
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1177/19714009231224429
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1177/19714009231224429
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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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1177/19714009231224429
- OA Status
- green
- Cited By
- 4
- References
- 40
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4390270444
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4390270444Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1177/19714009231224429Digital Object Identifier
- Title
-
Association of brain arterial diameters with demographic and anatomical factors in a multi-national pooled analysis of cohort studiesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-12-26Full publication date if available
- Authors
-
Víctor J. Del Brutto, Farid Khasiyev, Minghua Liu, Antonio Spagnolo‐Allende, Ye Qiao, Jesus D Melgarejo Arias, Vanessa A. Guzman, Kay C. Igwe, Danurys Sanchez, Howard Andrews, Clarissa Morales, Meagan T. Farrell, Darina T. Bassil, Sudha Seshadri, Ryan G. Wagner, Victor Mngomezulu, Jennifer J. Manly, Mitchell S.V. Elkind, Lisa Berkman, José R. Romero, Gladys E. Maestre, Óscar H. Del Brutto, Adam M. Brickman, Narayanaswamy Venketasubramanian, Christopher Chen, Caroline Robert, Saima Hilal, Tatjana Rundek, Bruce A. Wasserman, José GutierrezList of authors in order
- Landing page
-
https://doi.org/10.1177/19714009231224429Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.ncbi.nlm.nih.gov/pmc/articles/11138338Direct OA link when available
- Concepts
-
Medicine, Internal carotid artery, Basilar artery, Middle cerebral artery, Cerebral arteries, Cardiology, Nuclear medicine, Cohort, Internal medicine, IschemiaTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
4Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 4Per-year citation counts (last 5 years)
- References (count)
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40Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W2095791011, https://openalex.org/W2208310478, https://openalex.org/W2165867165, https://openalex.org/W2125900167, https://openalex.org/W4318916192, https://openalex.org/W2005184601, https://openalex.org/W1946867530, https://openalex.org/W2135268826, https://openalex.org/W2053649677, https://openalex.org/W3161422772, https://openalex.org/W1946071951, https://openalex.org/W4320300827, https://openalex.org/W4210550378, https://openalex.org/W2141945596, https://openalex.org/W2740717290, https://openalex.org/W1969654296, https://openalex.org/W2755861422, https://openalex.org/W2323822120, https://openalex.org/W2039017413, https://openalex.org/W1972229456, https://openalex.org/W2069144076, https://openalex.org/W2150587427, https://openalex.org/W2505792349, https://openalex.org/W2055950180, https://openalex.org/W4200341905, https://openalex.org/W2319421973, https://openalex.org/W2118202495, https://openalex.org/W2770559096, https://openalex.org/W2131995129, https://openalex.org/W3007858319, https://openalex.org/W2037324084, https://openalex.org/W2462234603, https://openalex.org/W2787507753, https://openalex.org/W2071466415, https://openalex.org/W2168931804, https://openalex.org/W2048903244, https://openalex.org/W3157952799, https://openalex.org/W2995784826, https://openalex.org/W3203798012, https://openalex.org/W1963548657 |
| referenced_works_count | 40 |
| abstract_inverted_index.9 | 95 |
| abstract_inverted_index.a | 46, 162, 217 |
| abstract_inverted_index.10 | 123 |
| abstract_inverted_index.3% | 226 |
| abstract_inverted_index.70 | 93 |
| abstract_inverted_index.BA | 113, 178, 206 |
| abstract_inverted_index.We | 19, 87 |
| abstract_inverted_index.as | 216 |
| abstract_inverted_index.be | 243 |
| abstract_inverted_index.by | 225 |
| abstract_inverted_index.in | 103, 107 |
| abstract_inverted_index.mm | 170, 182 |
| abstract_inverted_index.of | 8, 55, 201, 214, 219 |
| abstract_inverted_index.on | 195, 227 |
| abstract_inverted_index.± | 94 |
| abstract_inverted_index.25% | 200 |
| abstract_inverted_index.41% | 97 |
| abstract_inverted_index.ICA | 166 |
| abstract_inverted_index.MRA | 48 |
| abstract_inverted_index.TCV | 143, 147, 215 |
| abstract_inverted_index.age | 118 |
| abstract_inverted_index.and | 1, 12, 29, 66, 82, 105, 112, 129, 139, 142, 154, 158, 171, 174, 183, 192, 199, 205, 238 |
| abstract_inverted_index.are | 6 |
| abstract_inverted_index.for | 145 |
| abstract_inverted_index.had | 45 |
| abstract_inverted_index.may | 15 |
| abstract_inverted_index.mm) | 173 |
| abstract_inverted_index.mm, | 126, 128, 136, 138, 151, 153 |
| abstract_inverted_index.one | 146 |
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| abstract_inverted_index.sex | 133 |
| abstract_inverted_index.the | 56, 78, 202, 223 |
| abstract_inverted_index.was | 101 |
| abstract_inverted_index.(BA) | 69 |
| abstract_inverted_index.(WA: | 134, 144, 168, 180 |
| abstract_inverted_index.0.11 | 127 |
| abstract_inverted_index.0.12 | 130 |
| abstract_inverted_index.0.13 | 137 |
| abstract_inverted_index.0.18 | 125, 155 |
| abstract_inverted_index.0.21 | 140 |
| abstract_inverted_index.0.24 | 135, 150 |
| abstract_inverted_index.0.29 | 152 |
| abstract_inverted_index.0.39 | 169 |
| abstract_inverted_index.0.73 | 172 |
| abstract_inverted_index.13%, | 198 |
| abstract_inverted_index.15%, | 197 |
| abstract_inverted_index.ICA, | 110, 203 |
| abstract_inverted_index.LAVA | 73 |
| abstract_inverted_index.MCA, | 111, 204 |
| abstract_inverted_index.TCV, | 191, 237 |
| abstract_inverted_index.[WA] | 121 |
| abstract_inverted_index.age, | 22, 189, 235 |
| abstract_inverted_index.age: | 92 |
| abstract_inverted_index.fPCA | 100, 193 |
| abstract_inverted_index.from | 49 |
| abstract_inverted_index.head | 220 |
| abstract_inverted_index.male | 132 |
| abstract_inverted_index.mm), | 131, 141 |
| abstract_inverted_index.mm). | 156, 185 |
| abstract_inverted_index.nine | 50 |
| abstract_inverted_index.sex, | 23, 190, 236 |
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| abstract_inverted_index.when | 245 |
| abstract_inverted_index.with | 37, 116, 165, 177, 234 |
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| abstract_inverted_index.3.2%. | 108 |
| abstract_inverted_index.6,518 | 89 |
| abstract_inverted_index.Brain | 3, 230 |
| abstract_inverted_index.These | 240 |
| abstract_inverted_index.Using | 211 |
| abstract_inverted_index.brain | 38, 83 |
| abstract_inverted_index.fPCA. | 239 |
| abstract_inverted_index.fPCAs | 160 |
| abstract_inverted_index.fetal | 31 |
| abstract_inverted_index.men). | 98 |
| abstract_inverted_index.older | 117 |
| abstract_inverted_index.total | 25 |
| abstract_inverted_index.using | 72 |
| abstract_inverted_index.(ICA), | 61 |
| abstract_inverted_index.(MCA), | 65 |
| abstract_inverted_index.(TCV), | 28 |
| abstract_inverted_index.(fPCA) | 35 |
| abstract_inverted_index.Larger | 109 |
| abstract_inverted_index.across | 41, 250 |
| abstract_inverted_index.artery | 34, 68 |
| abstract_inverted_index.height | 212 |
| abstract_inverted_index.middle | 62 |
| abstract_inverted_index.models | 76, 187 |
| abstract_inverted_index.should | 242 |
| abstract_inverted_index.showed | 161 |
| abstract_inverted_index.volume | 27 |
| abstract_inverted_index.years: | 124 |
| abstract_inverted_index.years; | 96 |
| abstract_inverted_index.Methods | 43 |
| abstract_inverted_index.Purpose | 2 |
| abstract_inverted_index.Results | 86 |
| abstract_inverted_index.average | 120, 196 |
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| abstract_inverted_index.between | 80 |
| abstract_inverted_index.carotid | 59 |
| abstract_inverted_index.cranial | 26 |
| abstract_inverted_index.cutoffs | 249 |
| abstract_inverted_index.factors | 14, 241 |
| abstract_inverted_index.height, | 24 |
| abstract_inverted_index.instead | 213 |
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| abstract_inverted_index.−0.88 | 181 |
| abstract_inverted_index.−1.73 | 184 |
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| abstract_inverted_index.arterial | 4, 17, 39, 84, 231 |
| abstract_inverted_index.arteries | 60, 64 |
| abstract_inverted_index.assessed | 77 |
| abstract_inverted_index.average. | 228 |
| abstract_inverted_index.cerebral | 33, 63 |
| abstract_inverted_index.cohorts. | 52 |
| abstract_inverted_index.defining | 246 |
| abstract_inverted_index.diameter | 207, 248 |
| abstract_inverted_index.disease. | 10 |
| abstract_inverted_index.included | 88 |
| abstract_inverted_index.internal | 58 |
| abstract_inverted_index.measured | 71 |
| abstract_inverted_index.negative | 175 |
| abstract_inverted_index.positive | 163 |
| abstract_inverted_index.standard | 148 |
| abstract_inverted_index.(Weighted | 119 |
| abstract_inverted_index.R-squared | 224 |
| abstract_inverted_index.bilateral | 106, 159 |
| abstract_inverted_index.cavernous | 57 |
| abstract_inverted_index.correlate | 36 |
| abstract_inverted_index.decreased | 222 |
| abstract_inverted_index.diameters | 5, 40, 54, 114, 167, 179, 232 |
| abstract_inverted_index.explained | 194 |
| abstract_inverted_index.exposures | 81 |
| abstract_inverted_index.including | 188 |
| abstract_inverted_index.influence | 16 |
| abstract_inverted_index.posterior | 32 |
| abstract_inverted_index.software. | 74 |
| abstract_inverted_index.surrogate | 218 |
| abstract_inverted_index.Background | 0 |
| abstract_inverted_index.Conclusion | 229 |
| abstract_inverted_index.Regression | 75, 186 |
| abstract_inverted_index.Unilateral | 99, 157 |
| abstract_inverted_index.anatomical | 13 |
| abstract_inverted_index.considered | 244 |
| abstract_inverted_index.correlated | 115, 233 |
| abstract_inverted_index.deviation: | 149 |
| abstract_inverted_index.diameters. | 18, 85 |
| abstract_inverted_index.persistent | 30 |
| abstract_inverted_index.variation, | 209 |
| abstract_inverted_index.Demographic | 11 |
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| abstract_inverted_index.correlation | 164, 176 |
| abstract_inverted_index.hypothesize | 20 |
| abstract_inverted_index.Participants | 44 |
| abstract_inverted_index.participants | 90 |
| abstract_inverted_index.populations. | 42, 251 |
| abstract_inverted_index.international | 51 |
| abstract_inverted_index.respectively. | 210 |
| abstract_inverted_index.time-of-flight | 47 |
| abstract_inverted_index.cerebrovascular | 9 |
| abstract_inverted_index.interindividual | 208 |
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| cited_by_percentile_year.min | 97 |
| corresponding_author_ids | https://openalex.org/A5065239151 |
| countries_distinct_count | 5 |
| institutions_distinct_count | 30 |
| corresponding_institution_ids | https://openalex.org/I78577930 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
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| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.8241366 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |