Evidence map›Paper›PMID 32448134›Full record

ArticleBiomedical engineering online2020

Validation of conductivity tensor imaging using giant vesicle suspensions with different ion mobilities.

Bup Kyung Choi, Nitish Katoch, Hyung Joong Kim, Ji Ae Park, In Ok Ko, Oh In Kwon, Eung Je Woo

Open access · goldAbstract readValidation Study
In one paragraph

Article in Biomedical engineering online, 2020. 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
1.2field-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

9 citing papers in PubMed, 15 citations in OpenAlex.

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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

7 authors at 4 institutions in 1 country.

Bup Kyung ChoiDepartment of Medical Engineering, Kyung Hee University, 26, Kyungheedae-ro, Seoul, 02447, South Korea.
Nitish KatochDepartment of Biomedical Engineering, Kyung Hee University, 1732, Deogyeong-daero, Suwon, 17104, South Korea.
Hyung Joong KimDepartment of Biomedical Engineering, Kyung Hee University, 26, Kyungheedae-ro, Seoul, 02447, South Korea.
Ji Ae ParkDivision of Applied RI, Korea Institute of Radiological and Medical Science, 75, Nowonro, Seoul, 01812, South Korea.
In Ok KoDivision of Applied RI, Korea Institute of Radiological and Medical Science, 75, Nowonro, Seoul, 01812, South Korea.
Oh In KwonDepartment of Mathematics, Konkuk University, 120, Neungdong-ro, Seoul, 05029, South Korea.
Eung Je WooDepartment of Biomedical Engineering, Kyung Hee University, 26, Kyungheedae-ro, Seoul, 02447, South Korea. ejwoo@khu.ac.kr.ORCID http://orcid.org/0000-0001-5100-6945
Kyung Hee University · KRKorea Institute of Radiological and Medical Sciences · KRKonkuk University · KRKyung Hee Cyber University · KR

Funding

Korea Institute of Radiological and Medical Sciences 50461-2019Ministry of Health and Welfare HI18C2435National Research Foundation of Korea 2017R1A2A1A05001330National Research Foundation of Korea 2018R1D1A1B07046619National Research Foundation of Korea 2019R1A2C2088573
6 · The paper itself

Abstract

backgroundElectrical conductivity of a biological tissue at low frequencies can be approximately expressed as a tensor. Noting that cross-sectional imaging of a low-frequency conductivity tensor distribution inside the human body has wide clinical applications of many bioelectromagnetic phenomena, a new conductivity tensor imaging (CTI) technique has been lately developed using an MRI scanner. Since the technique is based on a few assumptions between mobility and diffusivity of ions and water molecules, experimental validations are needed before applying it to clinical studies.

methodsWe designed two conductivity phantoms each with three compartments. The compartments were filled with electrolytes and/or giant vesicle suspensions. The giant vesicles were cell-like materials with thin insulating membranes. We controlled viscosity of the electrolytes and the giant vesicle suspensions to change ion mobility and therefore conductivity values. The conductivity values of the electrolytes and giant vesicle suspensions were measured using an impedance analyzer before CTI experiments. A 9.4-T research MRI scanner was used to reconstruct conductivity tensor images of the phantoms.

resultsThe CTI technique successfully reconstructed conductivity tensor images of the phantoms with a voxel size of [Formula: see text]. The relative [Formula: see text] errors between the conductivity values measured by the impedance analyzer and those reconstructed by the MRI scanner was between 1.1 and 11.5.

conclusionsThe accuracy of the new CTI technique was estimated to be high enough for most clinical applications. Future studies of animal models and human subjects should be pursued to show the clinical efficacy of the CTI technique.

Indexed as

Electric ConductivityMagnetic Resonance ImagingImage Processing, Computer-AssistedPhantoms, ImagingSuspensionsUnilamellar LiposomesSuspensionsUnilamellar LiposomesConductivity tensor imaging (CTI)Electrical conductivity of biological tissueGiant vesicle suspensionMagnetic resonance imaging

Identifiers

PMID32448134
PMCPMC7247266
OpenAlexW3028161318

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.