Evidence map›Paper›PMID 25356845›Full record

ArticlePloS one2014

Separation of hepatic iron and fat by dual-source dual-energy computed tomography based on material decomposition: an animal study.

Jing Ma, Zhi-Qiang Song, Fu-Hua Yan

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Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

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0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

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  6. Spectral CT: Current Liver Applications.Diagnostics (Basel, Switzerland) · 2023
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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Jing MaDepartment of Radiology, Shanghai Zhongshan Hospital, Shanghai Medical College, Fudan University, Shanghai, China; Department of Radiology, the 2nd Affiliated Hospital of Shi-Hezi University Medical School (Corps Hospital), Urumqi, Xinjiang Province, China.
Zhi-Qiang SongDepartment of Radiology, the 2nd Affiliated Hospital of Shi-Hezi University Medical School (Corps Hospital), Urumqi, Xinjiang Province, China.
Fu-Hua YanDepartment of Radiology, Shanghai Ruijin Hospital, Shanghai Jiao Tong University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the feasibility of dual-source dual-energy computed tomography (DSDECT) for hepatic iron and fat separation in vivo. MATERIALS AND

methodsAll of the procedures in this study were approved by the Research Animal Resource Center of Shanghai Ruijin Hospital. Sixty rats that underwent DECT scanning were divided into the normal group, fatty liver group, liver iron group, and coexisting liver iron and fat group, according to Prussian blue and HE staining. The data for each group were reconstructed and post-processed by an iron-specific, three-material decomposition algorithm. The iron enhancement value and the virtual non-iron contrast value, which indicated overloaded liver iron and residual liver tissue, respectively, were measured. Spearman's correlation and one-way analysis of variance (ANOVA) were performed, respectively, to analyze statistically the correlations with the histopathological results and differences among groups.

resultsThe iron enhancement values were positively correlated with the iron pathology grading (r = 0.729, p<0.001). Virtual non-iron contrast (VNC) values were negatively correlated with the fat pathology grading (r = -0.642,p<0.0001). Different groups showed significantly different iron enhancement values and VNC values (F = 25.308,p<0.001; F = 10.911, p<0.001, respectively). Among the groups, significant differences in iron enhancement values were only observed between the iron-present and iron-absent groups, and differences in VNC values were only observed between the fat-present and fat-absent groups.

conclusionSeparation of hepatic iron and fat by dual energy material decomposition in vivo was feasible, even when they coexisted.

Indexed as

Adipose TissueAlgorithmsIron OverloadLiverAbsorptiometry, PhotonAnimalsIronMaleRatsRats, WistarIron

Identifiers

PMID25356845
PMCPMC4214685

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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.