Evidence map›Paper›PMID 33266617›Full record

ArticleEntropy (Basel, Switzerland)2018

Ultrasound Entropy Imaging of Nonalcoholic Fatty Liver Disease: Association with Metabolic Syndrome.

Ying-Hsiu Lin, Yin-Yin Liao, Chih-Kuang Yeh, Kuen-Cheh Yang, Po-Hsiang Tsui

Open access · goldAbstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

16 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Article
  3. Information Entropy and Its Applications.Advances in experimental medicine and biology · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Ultrasound Sample Entropy Imaging: A New Approach for Evaluating Hepatic Steatosis and Fibrosis.IEEE journal of translational engineering in health and medicine · 2021
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Entropy in Image Analysis.Entropy (Basel, Switzerland) · 2019
    Article
  14. Article
  15. Article
  16. 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

5 authors at 4 institutions in 1 country.

Ying-Hsiu LinDepartment of Medical Imaging and Radiological Sciences, College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan.
Yin-Yin LiaoDepartment of Biomedical Engineering, Hungkuang University, Taichung 43302, Taiwan.
Chih-Kuang YehDepartment of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu 30013, Taiwan.
Kuen-Cheh YangDepartment of Family Medicine, National Taiwan University Hospital, Beihu Branch, Taipei 10800, Taiwan.ORCID 0000-0003-0047-2238
Po-Hsiang TsuiDepartment of Medical Imaging and Radiological Sciences, College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan.
Chang Gung University · TWHungkuang University · TWNational Taiwan University · TWNational Tsing Hua University · TW

Funding

Chang Gung Memorial Hospital, Linkou, Taiwan CMRPD1H0381The Ministry of Science and Technology in Taiwan 106-2221-E-182-023-MY3The Ministry of Science and Technology in Taiwan 106-2314-B-002-237-MY3The Ministry of Science and Technology in Taiwan 107-2218-E-182-004
6 · The paper itself

Abstract

Nonalcoholic fatty liver disease (NAFLD) is the leading cause of advanced liver diseases. Fat accumulation in the liver changes the hepatic microstructure and the corresponding statistics of ultrasound backscattered signals. Acoustic structure quantification (ASQ) is a typical model-based method for analyzing backscattered statistics. Shannon entropy, initially proposed in information theory, has been demonstrated as a more flexible solution for imaging and describing backscattered statistics without considering data distribution. NAFLD is a hepatic manifestation of metabolic syndrome (MetS). Therefore, we investigated the association between ultrasound entropy imaging of NAFLD and MetS for comparison with that obtained from ASQ. A total of 394 participants were recruited to undergo physical examinations and blood tests to diagnose MetS. Then, abdominal ultrasound screening of the liver was performed to calculate the ultrasonographic fatty liver indicator (US-FLI) as a measure of NAFLD severity. The ASQ analysis and ultrasound entropy parametric imaging were further constructed using the raw image data to calculate the focal disturbance (FD) ratio and entropy value, respectively. Tertiles were used to split the data of the FD ratio and entropy into three groups for statistical analysis. The correlation coefficient

Indexed as

fatty liverhepatic steatosismetabolic syndromeShannon entropyultrasound

Identifiers

PMID33266617
PMCPMC7512475
OpenAlexW2901257524

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.