Evidence map›Paper›PMID 33808514›Full record

ArticleJournal of personalized medicine2021

Comparison of Hemodynamic Visualization in Cerebral Arteries: Can Magnetic Resonance Imaging Replace Computational Fluid Dynamics?

Minh Tri Ngo, Ui Yun Lee, Hojin Ha, Ning Jin, Gyung Ho Chung, Yeong Gon Kwak, Jinmu Jung, Hyo Sung Kwak

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
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

8 authors at 3 institutions in 1 country.

Minh Tri NgoDepartment of Radiology and Research Institute of Clinical Medicine of Jeonbuk National University, Biomedical Research Institute of Jeonbuk National University Hospital, Jeon-ju 54907, Korea.ORCID 0000-0002-0623-4778
Ui Yun LeeDivision of Mechanical Design Engineering, Jeonbuk National University, Jeon-ju 54896, Korea.ORCID 0000-0002-1366-6878
Hojin HaDepartment of Mechanical and Biomedical Engineering, Kangwon National University, Chuncheon 24341, Korea.
Ning JinSiemens Medical Solutions USA, Inc., Chicago, IL 60089, USA.
Gyung Ho ChungDepartment of Radiology and Research Institute of Clinical Medicine of Jeonbuk National University, Biomedical Research Institute of Jeonbuk National University Hospital, Jeon-ju 54907, Korea.
Yeong Gon KwakDepartment of Radiology and Research Institute of Clinical Medicine of Jeonbuk National University, Biomedical Research Institute of Jeonbuk National University Hospital, Jeon-ju 54907, Korea.
Jinmu JungDivision of Mechanical Design Engineering, Jeonbuk National University, Jeon-ju 54896, Korea.
Hyo Sung KwakDepartment of Radiology and Research Institute of Clinical Medicine of Jeonbuk National University, Biomedical Research Institute of Jeonbuk National University Hospital, Jeon-ju 54907, Korea.ORCID 0000-0002-7228-8117
Jeonbuk National University Hospital · KRJeonbuk National University · KRKangwon National University · KR

Funding

Fund of Biomedical Research Institute, Jeonbuk National University Hospital Fund of Biomedical Research InstituteNational Research Foundation of Korea NRF-2019R1I1A3A01059720National Research Foundation of Korea NRF-2019R1I1A3A01060695National Research Foundation of Korea NRF-2020R1A2C1008089National Research Foundation of Korea NRF-2020R1A4A2002817
6 · The paper itself

Abstract

A multimodality approach was applied using four-dimensional flow magnetic resonance imaging (4D flow MRI), time-of-flight magnetic resonance angiography (TOF-MRA) signal intensity gradient (SIG), and computational fluid dynamics (CFD) to investigate the 3D blood flow characteristics and wall shear stress (WSS) of the cerebral arteries. TOF-MRA and 4D flow MRI were performed on the major cerebral arteries in 16 healthy volunteers (mean age 34.7 ± 7.6 years). The flow rate measured with 4D flow MRI in the internal carotid artery, middle cerebral artery, and anterior cerebral artery were 3.8, 2.5, and 1.2 mL/s, respectively. The 3D blood flow pattern obtained through CFD and 4D flow MRI on the cerebral arteries showed reasonable consensus. CFD delivered much greater resolution than 4D flow MRI. TOF-MRA SIG and CFD WSS of the major cerebral arteries showed reasonable consensus with the locations where the WSS was relatively high. However, the visualizations were very different between TOF-MRA SIG and CFD WSS at the internal carotid artery bifurcations, the anterior cerebral arteries, and the anterior communicating arteries. 4D flow MRI, TOF-MRA SIG, and CFD are complementary methods that can provide additional insight into the hemodynamics of the human cerebral artery.

Indexed as

cerebral arteriescomputational fluid dynamics (CFD)four-dimensional flow magnetic resonance imaging (4D flow MRI)hemodynamics visualizationsignal intensity gradient from time-of-flight magnetic resonance angiography (TOF-MRA SIG)

Identifiers

PMID33808514
PMCPMC8066205
OpenAlexW3144811617

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.