Evidence map›Paper›PMID 32013792›Full record

ArticleRadiology2020

Assessment of Hepatic Steatosis in Nonalcoholic Fatty Liver Disease by Using Quantitative US.

Aiguo Han, Yingzhen N Zhang, Andrew S Boehringer, Vivian Montes, Michael P Andre, John W Erdman, Rohit Loomba, Mark A Valasek, Claude B Sirlin, William D O'Brien

Registry-linked trialOpen access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07667647 (Healthy Monochorionic Diamniotic Twin Microvasculature and Placental Imaging), which is not on this map. Cited by 58 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 2 pooled it
8.0field-weighted citation impact, top 2% 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.

NCT07667647 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Healthy Monochorionic Diamniotic Twin Microvasculature and Placental Imaging

TypeinterventionalSponsorCarilion ClinicRan2026 to 2029Enrolled10ConditionsMonochorionic Diamniotic Placenta, Monochorial Monoamniotic Placenta, Monochorionic Twins, Ultrasound DopplerArmsVerasonics Vantage 256 Ultrasound
3 · Its place in the literature

Who cites it

58 citing papers in PubMed, 2 syntheses or guidelines pooled it, 109 citations in OpenAlex.

  1. Pooled it
  2. A Systematized Review of Quantitative Ultrasound Based on First-Order Speckle Statistics.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2024
    Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Robust domain selection for functional data via interval-wise testing and effect size mapping.Journal of the Royal Statistical Society. Series C, Applied statistics · 2026
    Article
  12. Imaging Evaluation for Steatotic Liver Disease.Korean journal of radiology · 2026
    Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. First-Order Speckle Statistics for the Detection of Microstructural Anisotropy.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2025
    Article
  19. Article
  20. 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

10 authors at 2 institutions in 1 country.

Aiguo HanFrom the Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, 306 N Wright St, Urbana, IL 61801; Liver Imaging Group, Department of Radiology (Y.N.Z., A.S.B., V.M., C.B.S.), Department of Radiology (M.P.A.); NAFLD Research Center, Division of Gastroenterology, Department of Medicine (R.L.), and Department of Pathology (M.A.V.), University of California, San Diego, La Jolla, Calif.ORCID 0000-0001-7606-9221
Yingzhen N ZhangFrom the Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, 306 N Wright St, Urbana, IL 61801; Liver Imaging Group, Department of Radiology (Y.N.Z., A.S.B., V.M., C.B.S.), Department of Radiology (M.P.A.); NAFLD Research Center, Division of Gastroenterology, Department of Medicine (R.L.), and Department of Pathology (M.A.V.), University of California, San Diego, La Jolla, Calif.ORCID 0000-0001-7988-3712
Andrew S BoehringerFrom the Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, 306 N Wright St, Urbana, IL 61801; Liver Imaging Group, Department of Radiology (Y.N.Z., A.S.B., V.M., C.B.S.), Department of Radiology (M.P.A.); NAFLD Research Center, Division of Gastroenterology, Department of Medicine (R.L.), and Department of Pathology (M.A.V.), University of California, San Diego, La Jolla, Calif.
Vivian MontesFrom the Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, 306 N Wright St, Urbana, IL 61801; Liver Imaging Group, Department of Radiology (Y.N.Z., A.S.B., V.M., C.B.S.), Department of Radiology (M.P.A.); NAFLD Research Center, Division of Gastroenterology, Department of Medicine (R.L.), and Department of Pathology (M.A.V.), University of California, San Diego, La Jolla, Calif.
Michael P AndreFrom the Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, 306 N Wright St, Urbana, IL 61801; Liver Imaging Group, Department of Radiology (Y.N.Z., A.S.B., V.M., C.B.S.), Department of Radiology (M.P.A.); NAFLD Research Center, Division of Gastroenterology, Department of Medicine (R.L.), and Department of Pathology (M.A.V.), University of California, San Diego, La Jolla, Calif.ORCID 0000-0001-8744-4808
John W ErdmanFrom the Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, 306 N Wright St, Urbana, IL 61801; Liver Imaging Group, Department of Radiology (Y.N.Z., A.S.B., V.M., C.B.S.), Department of Radiology (M.P.A.); NAFLD Research Center, Division of Gastroenterology, Department of Medicine (R.L.), and Department of Pathology (M.A.V.), University of California, San Diego, La Jolla, Calif.ORCID 0000-0001-7924-6596
Rohit LoombaFrom the Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, 306 N Wright St, Urbana, IL 61801; Liver Imaging Group, Department of Radiology (Y.N.Z., A.S.B., V.M., C.B.S.), Department of Radiology (M.P.A.); NAFLD Research Center, Division of Gastroenterology, Department of Medicine (R.L.), and Department of Pathology (M.A.V.), University of California, San Diego, La Jolla, Calif.
Mark A ValasekFrom the Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, 306 N Wright St, Urbana, IL 61801; Liver Imaging Group, Department of Radiology (Y.N.Z., A.S.B., V.M., C.B.S.), Department of Radiology (M.P.A.); NAFLD Research Center, Division of Gastroenterology, Department of Medicine (R.L.), and Department of Pathology (M.A.V.), University of California, San Diego, La Jolla, Calif.ORCID 0000-0003-1721-3451
Claude B SirlinFrom the Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, 306 N Wright St, Urbana, IL 61801; Liver Imaging Group, Department of Radiology (Y.N.Z., A.S.B., V.M., C.B.S.), Department of Radiology (M.P.A.); NAFLD Research Center, Division of Gastroenterology, Department of Medicine (R.L.), and Department of Pathology (M.A.V.), University of California, San Diego, La Jolla, Calif.ORCID 0000-0002-6639-9072
William D O'BrienFrom the Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, 306 N Wright St, Urbana, IL 61801; Liver Imaging Group, Department of Radiology (Y.N.Z., A.S.B., V.M., C.B.S.), Department of Radiology (M.P.A.); NAFLD Research Center, Division of Gastroenterology, Department of Medicine (R.L.), and Department of Pathology (M.A.V.), University of California, San Diego, La Jolla, Calif.ORCID 0000-0002-9298-7556
Urbana University · USUniversity of Illinois Urbana-Champaign · US

Funding

UC San Diego Clinical and Translational Research InstituteUL1TR001442 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S, HOGARTH, MICHAEL · 2015 to 2024
$88.3M
Yeast Genetics and Stress Response Genes-BiomedicalP42ES010337 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI TUKEY, ROBERT H · 2000 to 2022
$69.8M
San Diego Digestive Diseases Research CenterP30DK120515 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LARS ECKMANN, Bernd G. Schnabl · 2019 to 2026
$10.8M
QUS Technology for Diagnosis and Grading of Hepatic Steatosis in NAFLDR01DK106419 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LOOMBA, ROHIT, SIRLIN, CLAUDE B · 2015 to 2019
$3.4M
NCATS NIH HHS UL1 TR001442NIDDK NIH HHS P30 DK120515NIDDK NIH HHS R01 DK106419NIEHS NIH HHS P42 ES010337
6 · The paper itself

Abstract

Background Advanced confounder-corrected chemical shift-encoded MRI-derived proton density fat fraction (PDFF) is a leading parameter for fat fraction quantification in nonalcoholic fatty liver disease (NAFLD). Because of the limited availability of this MRI technique, there is a need to develop and validate alternative parameters to assess liver fat. Purpose To assess relationship of quantitative US parameters to MRI PDFF and to develop multivariable quantitative US models to detect hepatic steatosis and quantify hepatic fat. Materials and Methods Adults with known NAFLD or who were suspected of having NAFLD were prospectively recruited between August 2015 and February 2019. Participants underwent quantitative US and chemical shift-encoded MRI liver examinations. Liver biopsies were performed if clinically indicated. The correlation between seven quantitative US parameters and MRI PDFF was evaluated. By using leave-one-out cross validation, two quantitative US multivariable models were evaluated: a classifier to differentiate participants with NAFLD versus participants without NAFLD and a fat fraction estimator. Classifier performance was summarized by area under the receiver operating characteristic curve and area under the precision-recall curve. Fat fraction estimator performance was evaluated by correlation, linearity, and bias. Results Included were 102 participants (mean age, 52 years ± 13 [standard deviation]; 53 women), 78 with NAFLD (MRI PDFF ≥ 5%). A two-variable classifier yielded a cross-validated area under the receiver operating characteristic curve of 0.89 (95% confidence interval: 0.82, 0.96) and an area under the precision-recall curve of 0.96 (95% confidence interval: 0.93, 0.99). The cross-validated fat fraction predicted by a two-variable fat fraction estimator was correlated with MRI PDFF (Spearman ρ = 0.82 [

Indexed as

AdultAgedFatty LiverFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNon-alcoholic Fatty Liver DiseaseProspective StudiesUltrasonography

Identifiers

PMID32013792
PMCPMC7104700
OpenAlexW3004891277

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.