Evidence map›Paper›PMID 38216104›Full record

ArticleNeuroImage2024

Vessel density mapping of small cerebral vessels on 3D high resolution black blood MRI.

Mona Sharifi Sarabi, Samantha J Ma, Kay Jann, John M Ringman, Danny J J Wang, Yonggang Shi

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
6.3field-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

5 citing papers in PubMed, 15 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Mona Sharifi SarabiUSC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, 2025 Zonal Avenue, Los Angeles, CA 90033, USA.
Samantha J MaSiemens Medical Solutions USA, Inc., Los Angeles, CA, USA.
Kay JannUSC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, 2025 Zonal Avenue, Los Angeles, CA 90033, USA.
John M RingmanDepartment of Neurology, University of Southern California, Los Angeles, CA, USA.
Danny J J WangUSC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, 2025 Zonal Avenue, Los Angeles, CA 90033, USA.
Yonggang ShiUSC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, 2025 Zonal Avenue, Los Angeles, CA 90033, USA. Electronic address: yshi@loni.usc.edu.
University of Southern California · USSiemens Healthcare (United States) · US

Funding

USCADRC Diversity Supplement PachicanoP30AG066530 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HELENA Chang CHUI · 2020 to 2026
$27.8M
TR&D3: Intrinsic Surface MappingP41EB015922 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TOGA, ARTHUR W · 2012 to 2022
$14.1M
Surface-Based Fiber Tracking and Modeling Techniques for Mapping the Superficial White Matter Connectome with Diffusion MRIR01EB022744 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Yonggang Shi · 2016 to 2026
$3.7M
Validation of Imaging and Blood-based Small Vessel VCID Biomarkers in Multiethnic PopulationUF1NS100614 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KASHANI, AMIR H, RINGMAN, JOHN M · 2021 to 2021
$2.6M
Imaging Cerebral Small Vessels in Vascular Cognitive Impairment and Dementia (VCID)RF1AG084072 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JIANG, XUEJUAN, SHI, YONGGANG · 2023 to 2023
$2.5M
Laminar Perfusion ImagingR01EB032169 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Danny JJ WANG · 2021 to 2026
$2.5M
Multiband ASL for Neurodevelopment StudyR01EB028297 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI WANG, DANNY JJ · 2019 to 2023
$2.2M
Shape-based personalized AT(N) imaging markers of Alzheimer's diseaseRF1AG077578 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SHI, YONGGANG · 2023 to 2023
$2.2M
Tau-induced connectome imaging markers of Alzheimer's diseaseRF1AG064584 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SHI, YONGGANG · 2020 to 2020
$2.1M
BBB Permeability Imaging in CADASILR01NS114382 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI WANG, DANNY JJ · 2020 to 2024
$1.2M
NIA NIH HHS P30 AG066530NIA NIH HHS RF1 AG064584NIA NIH HHS RF1 AG077578NIA NIH HHS RF1 AG084072NIBIB NIH HHS P41 EB015922NIBIB NIH HHS R01 EB022744NIBIB NIH HHS R01 EB028297NIBIB NIH HHS R01 EB032169NINDS NIH HHS R01 NS114382NINDS NIH HHS UF1 NS100614
6 · The paper itself

Abstract

Small cerebral blood vessels are largely inaccessible to existing clinical in vivo imaging technologies. This study aims to present a novel analysis pipeline for vessel density mapping of small cerebral blood vessels from high-resolution 3D black-blood MRI at 3T. Twenty-eight subjects (10 under 35 years old, 18 over 60 years old) were imaged with the T1-weighted turbo spin-echo with variable flip angles (T1w TSE-VFA) sequence optimized for black-blood small vessel imaging with iso-0.5 mm spatial resolution (interpolated from 0.51×0.51×0.64 mm

Indexed as

Imaging, Three-DimensionalMagnetic Resonance ImagingAdultAgedBrainHumansMagnetic Resonance AngiographyMiddle AgedMiddle Cerebral ArteryHigh-resolution black-blood MRISmall vessel diseaseTurbo spin-echo with variable flip angles (TSE VFA)Vessel densityVessel segmentation

Identifiers

PMID38216104
PMCPMC10834860
OpenAlexW4390748661

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.