Association of brain arterial diameters with demographic and anatomical factors in a multi-national pooled analysis of cohort studies.

Arterial diameters basilar artery carotid artery cohort studies fetal posterior cerebral artery middle cerebral artery

Journal

The neuroradiology journal
ISSN: 2385-1996
Titre abrégé: Neuroradiol J
Pays: United States
ID NLM: 101295103

Informations de publication

Date de publication:
26 Dec 2023
Historique:
medline: 27 12 2023
pubmed: 27 12 2023
entrez: 26 12 2023
Statut: aheadofprint

Résumé

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. 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. 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. Brain arterial diameters correlated with age, sex, TCV, and fPCA. These factors should be considered when defining abnormal diameter cutoffs across populations.

Sections du résumé

BACKGROUND AND PURPOSE OBJECTIVE
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 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 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 CONCLUSIONS
Brain arterial diameters correlated with age, sex, TCV, and fPCA. These factors should be considered when defining abnormal diameter cutoffs across populations.

Identifiants

pubmed: 38148489
doi: 10.1177/19714009231224429
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

19714009231224429

Déclaration de conflit d'intérêts

Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Auteurs

Victor J Del Brutto (VJ)

University of Miami, Miami, FL, USA.

Farid Khasiyev (F)

St. Louis University, St. Louis, MO, USA.

Minghua Liu (M)

Columbia University, New York, NY, USA.

Antonio Spagnolo-Allende (A)

Columbia University, New York, NY, USA.

Ye Qiao (Y)

Johns Hopkins University, Baltimore, MD, USA.

Jesus D Melgarejo Arias (JD)

Laboratory of Neuroscience, University of Zulia, Maracaibo, Venezuela.

Vanessa A Guzman (VA)

Columbia University, New York, NY, USA.

Kay C Igwe (KC)

Columbia University, New York, NY, USA.

Danurys L Sanchez (DL)

Columbia University, New York, NY, USA.

Howard Andrews (H)

New York State Psychiatric Institute, New York, NY, USA.

Clarissa D Morales (CD)

Columbia University, New York, NY, USA.

Meagan T Farrell (MT)

Harvard University, Harvard Center for Population and Development Studies, Cambridge, MA, USA.

Darina T Bassil (DT)

Harvard University, Harvard Center for Population and Development Studies, Cambridge, MA, USA.

Sudha Seshadri (S)

University of Texas San Antonio, San Antonio, TX, USA.

Ryan G Wagner (RG)

MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), University of the Witwatersrand, Johannesburg, South Africa.

Victor Mngomezulu (V)

Department of Diagnostic Radiology, University of the Witwatersrand, Johannesburg, South Africa.

Jennifer Manly (J)

Columbia University, New York, NY, USA.

Mitchell Sv Elkind (MS)

Columbia University, New York, NY, USA.

Lisa Berkman (L)

Harvard University, Harvard Center for Population and Development Studies, Cambridge, MA, USA.

Jose R Romero (JR)

Boston University, Boston, MA, USA.

Gladys E Maestre (GE)

Laboratory of Neuroscience, University of Zulia, Maracaibo, Venezuela.
Institute of Neuroscience, University of Texas Rio Grande Valley, Harlingen, TX, USA.

Oscar H Del Brutto (OH)

Universidad Espiritu Santo, Samborondon, Ecuador.

Adam M Brickman (AM)

Columbia University, New York, NY, USA.

Narayanaswamy Venketasubramanian (N)

Raffles Neuroscience Centre, Raffles Hospital, Singapore.

Christopher Chen (C)

Department of Pharmacology, National University of Singapore, Singapore.
Memory Aging and Cognition Center, National University Health System, Singapore.

Caroline Robert (C)

Department of Pharmacology, National University of Singapore, Singapore.
Memory Aging and Cognition Center, National University Health System, Singapore.

Saima Hilal (S)

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.

Tatjana Rundek (T)

University of Miami, Miami, FL, USA.

Bruce A Wasserman (BA)

Johns Hopkins University, Baltimore, MD, USA.
University of Maryland School of Medicine, Baltimore, MD, USA.

Jose Gutierrez (J)

Columbia University, New York, NY, USA.

Classifications MeSH