Evidence map›Paper›PMID 35173116›Full record

ArticleMagnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine2022

Hemodynamic Parameters for Cardiovascular System in 4D Flow MRI: Mathematical Definition and Clinical Applications.

Keiichi Itatani, Tetsuro Sekine, Masaaki Yamagishi, Yoshinobu Maeda, Norika Higashitani, Shohei Miyazaki, Junya Matsuda, Yasuo Takehara

Open access · diamondAbstract read
In one paragraph

Article in Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.7field-weighted citation impact, top 4% 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

21 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Evaluation of Blood Flow Energy Loss before and after Endovascular Aneurysm Repair Using Four-dimensional Flow MR Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Pulmonary Hemodynamic Parameters Derived from 4D Flow MR Imaging Can Provide Sensitive Markers for Chronic Obstructive Pulmonary Disease (COPD) Patients with Right Ventricular Dysfunction.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
    Article
  9. Article
  10. Increased Diastolic Energy Loss Associated with Cardiac Events in Adults with Pulmonary Atresia Suffering from Intact Ventricular Septum.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
    Article
  11. Article
  12. Review
  13. Comparison of Echo-Planar Imaging and Compressed Sensing in the Estimation of Flow Metrics from Aortic 4D Flow MR Imaging: A Healthy Volunteer Study.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
    Article
  14. Article
  15. Review
  16. Surgical management of systemic right ventricular failure.Asian cardiovascular & thoracic annals · 2024
    Article
  17. Review
  18. Measurement of Turbulent Kinetic Energy in Hypertrophic Cardiomyopathy Using Triple-velocity Encoding 4D Flow MR Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024
    Article
  19. Article
  20. 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 5 institutions in 2 countries.

Keiichi ItataniDepartment of Cardiovascular Surgery, Osaka City University.
Tetsuro SekineDepartment of Radiology, Nippon Medical School Musashi Kosugi Hospital.
Masaaki YamagishiDepartment of Pediatric Cardiovascular Surgery, Kyoto Prefectural University of Medicine.
Yoshinobu MaedaDepartment of Pediatric Cardiovascular Surgery, Kyoto Prefectural University of Medicine.
Norika HigashitaniCardio Flow Design Inc.
Shohei MiyazakiCardio Flow Design Inc.
Junya MatsudaDepartment of Cardiovascular Medicine, Nippon Medical School.
Yasuo TakeharaDepartment of Fundamental Development for Advanced Low Invasive Diagnostic Imaging, Nagoya university Graduate School of Medicine.
Cardio Flow (United States) · USKyoto Prefectural University of Medicine · JPNagoya University · JPNippon Medical School · JPNippon Medical School Musashi Kosugi Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blood flow imaging becomes an emerging trend in cardiology with the recent progress in computer technology. It not only visualizes colorful flow velocity streamlines but also quantifies the mechanical stress on cardiovascular structures; thus, it can provide the detailed inspections of the pathophysiology of diseases and predict the prognosis of cardiovascular functions. Clinical applications include the comprehensive assessment of hemodynamics and cardiac functions in echocardiography vector flow mapping (VFM), 4D flow MRI, and surgical planning as a simulation medicine in computational fluid dynamics (CFD).For evaluation of the hemodynamics, novel mathematically derived parameters obtained using measured velocity distributions are essential. Among them, the traditional and typical parameters are wall shear stress (WSS) and its related parameters. These parameters indicate the mechanical damages to endothelial cells, resulting in degenerative intimal change in vascular diseases. Apart from WSS, there are abundant parameters that describe the strength of the vortical and/or helical flow patterns. For instance, vorticity, enstrophy, and circulation indicate the rotating flow strength or power of 2D vortical flows. In addition, helicity, which is defined as the cross-linking number of the vortex filaments, indicates the 3D helical flow strength and adequately describes the turbulent flow in the aortic root in cases with complicated anatomies. For the description of turbulence caused by the diseased flow, there exist two types of parameters based on completely different concepts, namely: energy loss (EL) and turbulent kinetic energy (TKE). EL is the dissipated energy with blood viscosity and evaluates the cardiac workload related to the prognosis of heart failure. TKE describes the fluctuation in kinetic energy during turbulence, which describes the severity of the diseases that cause jet flow. These parameters are based on intuitive and clear physiological concepts, and are suitable for in vivo flow measurements using inner velocity profiles.

Indexed as

Endothelial CellsHemodynamicsAortaBlood Flow VelocityMagnetic Resonance ImagingStress, Mechanical4D flow magnetic resonance imagingblood flow imagingcardiac surgeryhemodynamics

Identifiers

PMID35173116
PMCPMC9680550
OpenAlexW4213080835

What OpenQuestion 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 OpenQuestion graph.