Evidence map›Paper›PMID 35306577›Full record

ArticleAbdominal radiology (New York)2022

Detection of fatty liver using virtual non-contrast dual-energy CT.

Pengcheng Peter Zhang, Hailey H Choi, Michael A Ohliger

Abstract read
In one paragraph

Article in Abdominal radiology (New York), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Imaging Evaluation for Steatotic Liver Disease.Korean journal of radiology · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Dual-Energy CT in Oncologic Imaging.Tomography (Ann Arbor, Mich.) · 2024
    Review
  8. Review
  9. Review
  10. Spectral CT: Current Liver Applications.Diagnostics (Basel, Switzerland) · 2023
    Review
  11. Review
  12. CT Texture Analysis in Nonalcoholic Fatty Liver Disease (NAFLD).Journal of clinical and experimental hepatology
    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

3 authors.

Pengcheng Peter ZhangDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, 505 Parnassus Avenue, 3rd Floor, M372, San Francisco, CA, 94143, USA.
Hailey H ChoiDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, 505 Parnassus Avenue, 3rd Floor, M372, San Francisco, CA, 94143, USA.
Michael A OhligerDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, 505 Parnassus Avenue, 3rd Floor, M372, San Francisco, CA, 94143, USA. Michael.ohliger@ucsf.edu.ORCID http://orcid.org/0000-0001-6878-8189

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDetermine whether liver attenuation measured on dual-energy CT (DECT) virtual non-contrast examinations predicts the presence of fatty liver.

methodsSingle-institution retrospective review from 2016 to 2020 found patients with DECT and proton density fat fraction MRI (MRI PDFF) within 30 days. MRI PDFF was the reference standard for determining hepatic steatosis. Attenuation measurements from VNC and mixed 120 kVp-like images were compared to MRI PDFF in the right and left lobes. Performance of VNC was compared to measurement of the liver-spleen attenuation difference (LSAD).

results128 patients were included (69 men, 59 women) with mean age 51.6 years (range 14-98 years). > 90% of patients received CT and MRI in the emergency department or as inpatients. Median interval between DECT and MRI PDFF was 2 days (range 0-28 days). Prevalence of fatty liver using the reference standard (MRI PDFF > 6%) was 24%. Pearson correlation coefficient between VNC and MRI- DFF was -0.64 (right) and -0.68 (left, both p < 0.0001). For LSAD, correlation was - 0.43 in both lobes (p < 0.0001). Considering MRI PDFF > 6% as diagnostic of steatosis, area under the receiver operator characteristic curve (AUC) was 0.834 and 0.872 in the right and left hepatic lobes, with an optimal threshold of 54.8 HU (right) and 52.5 HU (left), yielding sensitivity/specificity of 57%/93.9% (right) and 67.9%/90% (left). For LSAD, AUC was 0.808 (right) and 0.767 (left) with optimal sensitivity/specificity of 93.3%/57.1% (right) and 78.6%/68% (left).

conclusionAttenuation measured at VNC CT was moderately correlated with liver fat content and had > 90% specificity for diagnosis of fatty liver.

Indexed as

Fatty LiverAdolescentAdultAgedAged, 80 and overFemaleHumansLiverMagnetic Resonance ImagingMaleMiddle AgedRetrospective StudiesTomography, X-Ray ComputedYoung AdultDual energyFatty liverLiverNAFLDNASHPDFF

Identifiers

PMID35306577
PMCPMC9107401

What Socratic holds

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LicenceCC BY
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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.