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Are the anomalous vertebral arteries more hypoplastic?: retrospective linear mixed model approach

Overview of attention for article published in BMC Neurology, August 2017
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Title
Are the anomalous vertebral arteries more hypoplastic?: retrospective linear mixed model approach
Published in
BMC Neurology, August 2017
DOI 10.1186/s12883-017-0951-x
Pubmed ID
Authors

Chulho Kim, Jong-Hee Sohn, Hui-Chul Choi

Abstract

Small or hypoplastic vertebral artery (VA) is one of the risk factor for posterior circulation stroke. We assess whether various types of VA anomaly contribute to its diameter. We screened 238 patients who underwent neck CT and MR angiography within 1 month. A V1 anomaly was defined as the abnormal origin of the VA on a three-dimensional MR angiography and a V2 anomaly was defined as the VA not passing through the 6th cervical transverse foramen (TF) on an axial CT image. A linear mixed model was used to evaluate the determinants of VA size. Among participants, 24 (10.1%) subjects exhibited an anomalous VA and, of the 476 VAs examined, 11 (2.3%) had an aortic origin and 27 (5.7%) had an abnormal entrance into the C6 TF. Presence of the V1 anomaly was positively associated with the V2 anomaly (P for chi-square < 0.001) and a linear mixed model revealed that being male (0.2 mm larger, P = 0.015), having a right VA anomaly (0.3 mm smaller, P < 0.001), having a V1 anomaly (0.9 mm smaller, P < 0.001), and having a V2 anomaly (0.7 mm smaller, P < 0.001) were significant predictor of VA diameter. The diameters of VAs with an anomalous aortic origin or an abnormal entrance of the TF were significantly smaller than those of normal VAs. These findings suggest that anomalies of the VA detected in 3-dimensional CTA or MRA may be clues for vertebral artery hypoplasia.

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Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 20%
Lecturer 1 10%
Student > Doctoral Student 1 10%
Student > Ph. D. Student 1 10%
Student > Master 1 10%
Other 2 20%
Unknown 2 20%
Readers by discipline Count As %
Medicine and Dentistry 4 40%
Nursing and Health Professions 1 10%
Neuroscience 1 10%
Chemistry 1 10%
Engineering 1 10%
Other 0 0%
Unknown 2 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 September 2017.
All research outputs
#18,571,001
of 23,001,641 outputs
Outputs from BMC Neurology
#1,907
of 2,458 outputs
Outputs of similar age
#242,235
of 315,948 outputs
Outputs of similar age from BMC Neurology
#23
of 45 outputs
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