Evidence map›Paper›PMID 38347188›Full record

ArticleEuropean radiology experimental2024

Understanding ADC variation by fat content effect using a dual-function MRI phantom.

Yi-Jui Liu, Tung-Sheng Tsai, Ya-Hui Li, Jo-Hua Peng, Hing-Chiu Chang, Hsu-Hsia Peng, Ying-Chieh Lee, Tung-Yang Lee, Chang-Hsien Liou, Tz-Feng Lin and 3 more

Abstract read
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Article in European radiology experimental, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

3 citing papers in PubMed.

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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

13 authors.

Yi-Jui Liu *Department of Automatic Control Engineering, Feng Chia University, Taichung, Taiwan, Republic of China.
Tung-Sheng TsaiPh.D. Program in Electrical and Communication Engineering, Feng Chia University, Taichung, Taiwan, Republic of China.
Ya-Hui Li *Department of Medical Imaging, China Medical University Hsinchu Hospital, 199, Sec. 1, Xinglong Rd., Zhubei City, Hsinchu County, 302, Taiwan, Republic of China.
Jo-Hua PengDepartment of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan, Republic of China.
Hing-Chiu ChangDepartment of Biomedical Engineering, Chinese University of Hong Kong, Hong Kong, China.
Hsu-Hsia PengDepartment of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan, Republic of China.
Ying-Chieh LeeDepartment of Automatic Control Engineering, Feng Chia University, Taichung, Taiwan, Republic of China.
Tung-Yang LeeMaster's Program of Biomedical Informatics and Biomedical Engineering, Feng Chia University, Taichung, Taiwan, Republic of China.
Chang-Hsien LiouDepartment of Medical Imaging, China Medical University Hsinchu Hospital, 199, Sec. 1, Xinglong Rd., Zhubei City, Hsinchu County, 302, Taiwan, Republic of China.
Tz-Feng LinDepartment of Fiber and Composite Materials, Feng Chia University, Taichung, Taiwan, Republic of China.
Fatt-Yang ChewDepartment of Medical Imaging, China Medical University Hospital, Taichung, Taiwan, Republic of China.
Ruey-Hwang Chou *Graduate Institute of Biomedical Sciences, China Medical University, Taichung, 406, Taiwan, Republic of China. rhchou@mail.cmu.edu.tw.ORCID http://orcid.org/0000-0002-2297-2180
Chun-Jung Juan *Department of Medical Imaging, China Medical University Hsinchu Hospital, 199, Sec. 1, Xinglong Rd., Zhubei City, Hsinchu County, 302, Taiwan, Republic of China. peterjuancj@yahoo.com.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA dual-function phantom designed to quantify the apparent diffusion coefficient (ADC) in different fat contents (FCs) and glass bead densities (GBDs) to simulate the human tissues has not been documented yet. We propose a dual-function phantom to quantify the FC and to measure the ADC at different FCs and different GBDs.

methodsA fat-containing diffusion phantom comprised by 30 glass-bead-containing fat-water emulsions consisting of six different FCs (0, 10, 20, 30, 40, and 50%) multiplied by five different GBDs (0, 0.1, 0.25, 0.5, and 1.0 g/50 mL). The FC and ADC were measured by the "iterative decomposition of water and fat with echo asymmetry and least squares estimation-IQ," IDEAL-IQ, and single-shot echo-planar diffusion-weighted imaging, SS-EP-DWI, sequences, respectively. Linear regression analysis was used to evaluate the relationship among the fat fraction (FF) measured by IDEAL-IQ, GBD, and ADC.

resultsThe ADC was significantly, negatively, and linearly associated with the FF (the linear slope ranged from -0.005 to -0.017, R

conclusionsA novel dual-function phantom simulating the human tissues allowed to quantify the influence of FC and GBD on ADC. RELEVANCE STATEMENT: The study developed an innovative dual-function MRI phantom to explore the impact of FC on ADC variation that can affect clinical results. The results revealed the superimposed effect on FF and GBD density on ADC measurements. KEY POINTS: • A dual-function phantom made of glass bead density (GBD) and fat fraction (FF) emulsion has been developed. • Apparent diffusion coefficient (ADC) values are determined by GBD and FF. • The dual-function phantom showed the mutual ADC addition between FF and GBD.

Indexed as

Diffusion Magnetic Resonance ImagingMagnetic Resonance ImagingEcho-Planar ImagingHumansPhantoms, ImagingWaterWaterAdipose tissueDiffusion magnetic resonance imagingPhantoms (imaging)Quality assurance (healthcare)Quality control

Identifiers

PMID38347188
PMCPMC10861416

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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.