Evidence map›Paper›PMID 36153874›Full record

ArticleJournal of Korean Neurosurgical Society2023

Numerical Model for Cerebrovascular Hemodynamics with Indocyanine Green Fluorescence Videoangiography.

Hwayeong Cheon, Young-Je Son, Sung Bae Park, Pyoung-Seop Shim, Joo-Hiuk Son, Hee-Jin Yang

Abstract read
In one paragraph

Article in Journal of Korean Neurosurgical Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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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

1 citing paper in PubMed.

  1. 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

6 authors.

Hwayeong CheonBiomedical Engineering Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea.
Young-Je SonDepartment of Neurosurgery, Seoul National University Boramae Hospital, Seoul, Korea.
Sung Bae ParkDepartment of Neurosurgery, Seoul National University Boramae Hospital, Seoul, Korea.
Pyoung-Seop ShimSystem Configuration Team, Korea Institute of Atmospheric Prediction Systems, Seoul, Korea.
Joo-Hiuk SonDepartment of Physics, University of Seoul, Seoul, Korea.
Hee-Jin YangDepartment of Neurosurgery, Seoul National University Boramae Hospital, Seoul, Korea.

Funding

National Research Foundation of Korea 2021R1F1A1056527Seoul National University Boramae HospitalUniversity of Seoul
6 · The paper itself

Abstract

objectiveThe use of indocyanine green videoangiography (ICG-VA) to assess blood flow in the brain during cerebrovascular surgery has been increasing. Clinical studies on ICG-VA have predominantly focused on qualitative analysis. However, quantitative analysis numerical modelling for time profiling enables a more accurate evaluation of blood flow kinetics. In this study, we established a multiple exponential modified Gaussian (multi-EMG) model for quantitative ICG-VA to understand accurately the status of cerebral hemodynamics.

methodsWe obtained clinical data of cerebral blood flow acquired the quantitative analysis ICG-VA during cerebrovascular surgery. Varied asymmetric peak functions were compared to find the most matching function form with clinical data by using a nonlinear regression algorithm. To verify the result of the nonlinear regression, the mode function was applied to various types of data.

resultsThe proposed multi-EMG model is well fitted to the clinical data. Because the primary parameters-growth and decay rates, and peak center and heights-of the model are characteristics of model function, they provide accurate reference values for assessing cerebral hemodynamics in various conditions. In addition, the primary parameters can be estimated on the curves with partially missed data. The accuracy of the model estimation was verified by a repeated curve fitting method using manipulation of missing data.

conclusionThe multi-EMG model can possibly serve as a universal model for cerebral hemodynamics in a comparison with other asymmetric peak functions. According to the results, the model can be helpful for clinical research assessment of cerebrovascular hemodynamics in a clinical setting.

Indexed as

Cerebrovascular circulationComputer-assisted numerical analysisFluorescence angiographyHemodynamic monitoringIndocyanine greenVascular surgical procedures

Identifiers

PMID36153874
PMCPMC10323270

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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.