Evidence map›Paper›PMID 33186174›Full record

ArticleJournal of computer assisted tomography

Quantification of Hepatic Fat Fraction in Patients With Nonalcoholic Fatty Liver Disease: Comparison of Multimaterial Decomposition Algorithm and Fat (Water)-Based Material Decomposition Algorithm Using Single-Source Dual-Energy Computed Tomography.

Qinhe Zhang, Ying Zhao, Jingjun Wu, Luhan Xie, Anliang Chen, Yijun Liu, Qingwei Song, Jianying Li, Tingfan Wu, Lizhi Xie and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of computer assisted tomography. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Spectral CT: Current Liver Applications.Diagnostics (Basel, Switzerland) · 2023
    Review
  6. Article
  7. 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

11 authors at 3 institutions in 2 countries.

Qinhe ZhangFrom the Department of Radiology, The First Affiliated Hospital of Dalian Medical University.
Ying ZhaoFrom the Department of Radiology, The First Affiliated Hospital of Dalian Medical University.
Jingjun WuFrom the Department of Radiology, The First Affiliated Hospital of Dalian Medical University.
Luhan XieDepartment of Biotechnology, Dalian Medical University, Dalian.
Anliang ChenFrom the Department of Radiology, The First Affiliated Hospital of Dalian Medical University.
Yijun LiuFrom the Department of Radiology, The First Affiliated Hospital of Dalian Medical University.
Qingwei SongFrom the Department of Radiology, The First Affiliated Hospital of Dalian Medical University.
Jianying LiGE Healthcare, MR Research, Beijing.
Tingfan WuGE Healthcare (China), Translational Medicine Team, Shanghai, China.
Lizhi XieGE Healthcare, MR Research, Beijing.
Ailian LiuFrom the Department of Radiology, The First Affiliated Hospital of Dalian Medical University.
Dalian Medical University · CNGeneral Electric (Spain) · ESFirst Affiliated Hospital of Dalian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

methodsHepatic fat fractions were quantified by noncontrast (HFFnon-CE) and contrast-enhanced single-source dual-energy computed tomography in arterial phase (HFFAP), portal venous phase (HFFPVP) and equilibrium phase (HFFEP) using MMD in 19 nonalcoholic fatty liver disease patients. The fat concentration was measured on fat (water)-based images. As the standard of reference, magnetic resonance iterative decomposition of water and fat with echo asymmetry and least-squares estimation-iron quantification images were reconstructed to obtain HFF (HFFIDEAL-IQ).

resultsThere was a strong correlation between HFFnon-CE, HFFAP, HFFPVP, HFFEP, fat concentration and HFFIDEAL-IQ (r = 0.943, 0.923, 0.942, 0.952, and 0.726) with HFFs having better correlation with HFFIDEAL-IQ. Hepatic fat fractions did not significantly differ across scanning phases. The HFFs of 3-phase contrast-enhanced computed tomography had a good consistency with HFFnon-CE.

conclusionsHepatic fat fraction using MMD has excellent correlation with that of magnetic resonance imaging, is independent of the computed tomography scanning phases, and may be used as a routine technique for quantitative assessment of HFF.

Indexed as

Adipose TissueAdultAgedAlgorithmsContrast MediaFemaleHumansLiverMagnetic Resonance ImagingMaleMiddle AgedNon-alcoholic Fatty Liver DiseaseRadiography, Dual-Energy Scanned ProjectionRetrospective StudiesSensitivity and SpecificityTomography, X-Ray ComputedContrast MediaWater

Identifiers

PMID33186174
PMCPMC7834908
OpenAlexW3103435265

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.