Evidence map›Paper›PMID 41367753›Full record

ArticleQuantitative imaging in medicine and surgery2025

Effect of radiation dose on quantification of the liver iron and fat fractions using dual-energy computed tomography and material decomposition.

Huiming Shan, Jingyu Zhou, Qunyao Dai, Tingting Xie, Guanxun Cheng

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Huiming Shan *Department of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, China.
Jingyu Zhou *Department of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, China.
Qunyao DaiDepartment of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, China.
Tingting XieDepartment of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, China.
Guanxun ChengDepartment of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Studying the impact of radiation dose on dual-energy computed tomography (DECT) quantification of liver iron and fat is clinically valuable for assessing fatty liver and chronic liver disease. Our objective was to investigate the effects of different radiation doses on the liver iron and fat fractions quantified using DECT. Methods: Rat liver iron and fat models were prepared. The modelled liver iron concentrations (LICs) were 25.000, 12.500, 6.250, 3.125, 1.563, and 0 mg/mL. The modelled liver fat concentrations (LFCs) were 0.910, 0.546, 0.273, 0.091, and 0 g/mL. All samples were scanned using a DECT scanner in Gemstone Spectral Imaging mode using three different electron tube currents. Material decomposition and characterization were performed using Gemstone Spectral Imaging Viewer. The virtual iron concentrations (VICs) and virtual fat concentrations (VFCs) were measured on iron-water and fat-water bases. Bland-Altman analysis, Pearson's correlation analysis and one-way analysis of variance were performed to determine differences in the VIC and VFC between the groups using SPSS 20.0 software. Results: In the liver-iron model, the correlation coefficients between each LIC and VIC were 0.999, 1.000, and 0.999, respectively. The correlation coefficients between each LFC and VFC were all 0.999. There were no significant differences in the VIC or VFC between the three tube currents employed, although absolute measured VIC and VFC consistently differed significantly from LIC and LFC. Conclusions: Different radiation doses had no effect on iron or fat content quantification by DECT. It is feasible to quantify the liver iron and fat fractions using low-dose CT.

Indexed as

Dual-energy computed tomography (DECT)material decompositionradiation dosespectral CT

Identifiers

PMID41367753
PMCPMC12682485

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.