Evidence map›Paper›PMID 35572919›Full record

ArticleFrontiers in neurology2022

Age-Related Tortuosity of Carotid and Vertebral Arteries: Quantitative Evaluation With MR Angiography.

Zhe Sun, Dengrong Jiang, Peiying Liu, Marco Muccio, Chenyang Li, Yan Cao, Thomas M Wisniewski, Hanzhang Lu, Yulin Ge

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
5.9field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 43 citations in OpenAlex.

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  19. Measuring arterial tortuosity in the cerebrovascular system using Time-of-Flight MRI.medRxiv : the preprint server for health sciences · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 1 country.

Zhe SunDepartment of Radiology, NYU Grossman School of Medicine, New York, NY, United States.
Dengrong JiangDepartment of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Peiying LiuDepartment of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Marco MuccioDepartment of Radiology, NYU Grossman School of Medicine, New York, NY, United States.
Chenyang LiDepartment of Radiology, NYU Grossman School of Medicine, New York, NY, United States.
Yan CaoDepartment of Mathematical Sciences, University of Texas at Dallas, Richardson, TX, United States.
Thomas M WisniewskiDepartment of Neurology, NYU Grossman School of Medicine, New York, NY, United States.
Hanzhang LuDepartment of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Yulin GeDepartment of Radiology, NYU Grossman School of Medicine, New York, NY, United States.
New York University · USJohns Hopkins University · USCenter for Neuro-Oncology · USJohns Hopkins Medicine · USThe University of Texas at Dallas · US

Funding

Research Education ComponentP30AG066512 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Mary Sherman Mittelman · 2020 to 2026
$28.4M
TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Christopher M Collins · 2014 to 2026
$19.3M
Transgenic/Behavior CoreP01AG060882 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI WISNIEWSKI, THOMAS M · 2020 to 2024
$12.0M
In vivo insights of small vessel changes with age using USPIO-enhanced MRIR01NS108491 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI GE, YULIN, HAACKE, EWART MARK · 2018 to 2022
$3.7M
Mechanisms of age-related white matter hyperintensities: insights from advanced MRIRF1NS110041 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI GE, YULIN, WISNIEWSKI, THOMAS M · 2018 to 2018
$3.6M
The next generation of vascular imaging using contrast-enhanced MICRO MRIR56AG060822 · NIA · WAYNE STATE UNIVERSITY · PI GE, YULIN, HAACKE, EWART MARK · 2018 to 2018
$728k
The 10th International Society for Neurovascular Disease (ISNVD) Annual MeetingR13AG067684 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI GE, YULIN · 2020 to 2020
$50k
NIA NIH HHS P01 AG060882NIA NIH HHS P30 AG066512NIA NIH HHS R13 AG067684NIA NIH HHS R56 AG060822NIBIB NIH HHS P41 EB017183NINDS NIH HHS R01 NS108491NINDS NIH HHS RF1 NS110041
6 · The paper itself

Abstract

Background and Purpose: The vascular tortuosity (VT) of the internal carotid artery (ICA), and vertebral artery (VA) can impact blood flow and neuronal function. However, few studies involved quantitative investigation of VT based on magnetic resonance imaging (MRI). The main purpose of our study was to evaluate the age and gender effects on ICA and VA regarding the tortuosity and flow changes by applying automatic vessel segmentation, centerline tracking, and phase mapping on MR angiography. Methods: A total of 247 subjects (86 males and 161 females) without neurological diseases participated in this study. All subjects obtained T1-weighted MRI, 3D time-of-flight MR angiography, and 2D phase-contrast (PC) MRI scans. To generate quantitative tortuosity metrics from TOF images, the vessel segmentation and centerline tracking were implemented based on Otsu thresholding and fast marching algorithms, respectively. Blood flow and velocity were measured using PC MRI. Among the 247 subjects, 144 subjects (≤ 60 years, 49 males/95 females) were categorized as the young group; 103 subjects (>60 years, 37 males/66 females) were categorized as the old group. Results: Independent Conclusions: Vascular auto-segmentation, centerline tracking, and phase mapping provide promising quantitative assessments of tortuosity and its effects on blood flow. The neck arteries demonstrate quantifiable and significant age-related morphological and hemodynamic alterations. Moreover, females showed more distinct vascular changes with age. Our work is built upon a comprehensive quantitative investigation of a large cohort of populations covering adult lifespan using MRI, the results can serve as reference ranges of each decade in the general population.

Indexed as

agingblood flowcarotid arterymagnetic resonance angiographyvascular tortuosity

Identifiers

PMID35572919
PMCPMC9099009
OpenAlexW4225143840

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.