Evidence map›Paper›PMID 35838658›Full record

ArticleJournal of neuroimaging : official journal of the American Society of Neuroimaging2022

Novel imaging markers for altered cerebrovascular morphology in aging, stroke, and Alzheimer's disease.

Aditi Deshpande, Jordan Elliott, Nitya Kari, Bin Jiang, Patrik Michel, Nima Toosizadeh, Pouya Tahsili Fahadan, Chelsea Kidwell, Max Wintermark, Kaveh Laksari

Open access · greenAbstract read
In one paragraph

Article in Journal of neuroimaging : official journal of the American Society of Neuroimaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

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  4. Cerebrovascular morphology: Insights into normal variations, aging effects and disease implications.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2025
    Review
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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

10 authors at 5 institutions in 2 countries.

Aditi DeshpandeDepartment of Biomedical Engineering, University of Arizona, Tucson, Arizona, USA.ORCID 0000-0001-7657-2812
Jordan ElliottDepartment of Biomedical Engineering, University of Arizona, Tucson, Arizona, USA.
Nitya KariDepartment of Biomedical Engineering, University of Arizona, Tucson, Arizona, USA.
Bin JiangDepartment of Radiology, Stanford University, Stanford, California, USA.
Patrik MichelDepartment of Neurology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland.
Nima ToosizadehDepartment of Biomedical Engineering, University of Arizona, Tucson, Arizona, USA.
Pouya Tahsili FahadanNeuroscience Intensive Care Unit, Medical Critical Care Service and Department of Medical Education, UVA Medicine Inova Campus, Falls Church, Virginia, USA.
Chelsea KidwellDepartment of Neurology, University of Arizona, Tucson, Arizona, USA.
Max WintermarkDepartment of Neuroradiology, MD Anderson Center, University of Texas, Houston, Texas, USA.ORCID 0000-0003-1001-5591
Kaveh LaksariDepartment of Biomedical Engineering, University of Arizona, Tucson, Arizona, USA.
University of Arizona · USJohns Hopkins University · USStanford University · USThe University of Texas MD Anderson Cancer Center · USUniversity Hospital of Lausanne · CH

Funding

Enhanced Clinical Diagnosis through Imaging and Modeling: A Machine Learning Data Fusion FrameworkR21EB032187 · NIBIB · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BABAEE, HESSAM, LAKSARI, KAVEH · 2021 to 2023
$636k
Noninvasive Real-time Estimation of Cerebral Blood Flow for Personalized Stroke AssessmentR03NS108167 · NINDS · UNIVERSITY OF ARIZONA · PI BABAEE, HESSAM, LAKSARI, KAVEH · 2019 to 2020
$161k
NIBIB NIH HHS R21 EB032187NINDS NIH HHS R03 NS108167
6 · The paper itself

Abstract

background and purposeAltered brain vasculature is a key phenomenon in several neurologic disorders. This paper presents a quantitative assessment of the anatomical variations in the Circle of Willis (CoW) and vascular morphology in healthy aging, acute ischemic stroke (AIS) and Alzheimer's Disease (AD).

methodsWe used our novel automatic method to segment and extract geometric features of the cerebral vasculature from MR angiography scans of 175 healthy subjects, which were used to create a probabilistic atlas of cerebrovasculature and to study normal aging and intersubject variations in CoW anatomy. Subsequently, we quantified and analyzed vascular alterations in 45AIS and 50 AD patients, two prominent cerebrovascular and neurodegenerative disorders.

resultsIn the sampled cohort, we determined that the CoW is fully formed in only 35% of healthy adults and found significantly (p < .05) increased tortuosity and fractality, with increasing age and also with disease in both AIS and AD. We also found significantly lower vessel length, volume, and number of branches in AIS patients, as expected. The AD cerebral vessels exhibited significantly smaller diameter and more complex branching patterns, compared to age-matched healthy adults. These changes were significantly heightened (p < .05) among healthy, early onset mild AD, and moderate/severe dementia groups.

conclusionAlthough our study does not include longitudinal data due to paucity of such datasets, the specific geometric features and quantitative comparisons demonstrate the potential for using vascular morphology as a noninvasive imaging biomarker for neurologic disorders.

Indexed as

Alzheimer DiseaseIschemic StrokeStrokeAgingBiomarkersBrainHumansMagnetic Resonance ImagingBiomarkersagingAlzheimer's diseasebiomarkerscerebral vasculatureimagingstroke

Identifiers

PMID35838658
PMCPMC9474631
OpenAlexW4285492751

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.