Evidence map›Paper›PMID 40416420›Full record

ArticleWFUMB ultrasound open2024

Methods and Validation of Velacur Determined Fat Fraction in patients with MASLD.

Mohammad Honarvar, Julio Lobo, Caitlin Schneider, Samuel Klein, Gordon I Smith, Rohit Loomba, Alnoor Ramji, Tarek Hassanein, Eric M Yoshida, Emily Pang and 2 more

Abstract read
In one paragraph

Article in WFUMB ultrasound open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Mohammad HonarvarSonic Incytes Medical Corp. Vancouver, BC, Canada.
Julio LoboSonic Incytes Medical Corp. Vancouver, BC, Canada.
Caitlin SchneiderSonic Incytes Medical Corp. Vancouver, BC, Canada.ORCID 0000-0001-6649-3790
Samuel KleinWashington University, School of Medicine, St. Louis, MO, USA.ORCID 0000-0001-7127-1156
Gordon I SmithWashington University, School of Medicine, St. Louis, MO, USA.ORCID 0000-0003-0063-046X
Rohit LoombaUniversity of California, San Diego, San Diego, CA, USA.ORCID 0000-0002-4845-9991
Alnoor RamjiUniversity of British Columbia, Division of Gastroenterology, Vancouver, BC, Canada.ORCID 0000-0003-4059-8767
Tarek HassaneinSouthern California Research Center, Coronado, CA, USA.ORCID 0000-0002-9157-0329
Eric M YoshidaUniversity of British Columbia, Division of Gastroenterology, Vancouver BC, Canada.ORCID 0000-0003-2910-7461
Emily PangVancouver General Hospital, Department of Radiology, Vancouver BC, Canada.ORCID 0000-0003-4769-3433
Michael P CurryBeth Israel Deaconess Medical Center, Boston, MA, USA.ORCID 0000-0003-2110-3503
Nezam H AfdhalBeth Israel Deaconess Medical Center, Boston, MA, USA.ORCID 0000-0002-7342-6593

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
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
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
Washington University Nutrition Obesity Research CenterP30DK056341 · NIDDK · WASHINGTON UNIVERSITY · PI Dominic N Reeds · 1999 to 2026
$30.2M
WU P&FP30DK020579 · NIDDK · WASHINGTON UNIVERSITY · PI Clay F. Semenkovich · 2013 to 2026
$27.1M
Pediatric Trials in Non-Alcoholic Steatohepatitis (NASH)U01DK061734 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ROHIT LOOMBA · 2002 to 2026
$24.4M
Tissue-specific roles of FXR in CVD and NASHP01HL147835 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI EVANS, RONALD M · 2020 to 2024
$12.2M
San Diego Digestive Diseases Research CenterP30DK120515 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Bernd G. Schnabl · 2019 to 2026
$10.8M
HIV MASLD Clinical Research Network (HCRN)R01DK121378 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI NAGA P CHALASANI, ROHIT LOOMBA · 2020 to 2026
$8.7M
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
San Diego Cirrhosis Clinical Research NetworkU01DK130190 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ROHIT LOOMBA · 2021 to 2026
$2.3M
Non-invasive screening of diabetics for advanced fibrosis due to NAFLDR01DK124318 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LOOMBA, ROHIT · 2020 to 2022
$1.7M
NCATS NIH HHS UL1 TR000448NCATS NIH HHS UL1 TR001442NCATS NIH HHS UL1 TR002345NHLBI NIH HHS P01 HL147835NIDDK NIH HHS P30 DK020579NIDDK NIH HHS P30 DK056341NIDDK NIH HHS P30 DK120515NIDDK NIH HHS R01 DK106419NIDDK NIH HHS R01 DK121378NIDDK NIH HHS R01 DK124318NIDDK NIH HHS U01 DK061734NIDDK NIH HHS U01 DK130190
6 · The paper itself

Abstract

Introduction: As prevalence of patients with steatotic liver diseases increases throughout the world, it is necessary to have accurate and accessible methods to estimate liver fat content. Using quantitative ultrasound parameters, such as attenuation and backscatter, it is possible to estimate liver fat, with MRI proton density fat fraction as the reference standard. Velacur determined fat fraction (VDFF) is a new output measurement on Velacur (Sonic Incytes Medical Corp, Vancouver, BC). Methods: This study described the results of parameter fitting and validation of VDFF, which is a combination of quantitative ultrasound parameters. Patients were recruited from sites within the US and Canada. All patients had contemporaneous Velacur and MRI proton density fat fraction scans. The quantitative ultrasound parameter fitting was completed using linear regression on a random sub-sample approach, and a separate cohort was used for validation. The AUC for detection of 5% liver fat based on MRI-PDFF and the correlation between MRI-PDFF and VDFF was measured in both cohorts. Results: VDFF had an AUROC of 0.97 for the detection of MRI-PDFF > 5% in the parameter fitting cohort, and 0.99 in the validation cohort. The correlation [95% CI] between MRI-PDFF and VDFF was r = 0.84 [0.78 - 0.89] for the parameter fitting cohort and r = 0.90 [0.82 - 0.95] for the validation cohort. Conclusion: The Velacur Determined Fat Fraction (VDFF) is an accurate and accessible way to estimate steatosis as measured by MRI-PDFF. Velacur VDFF can fill the unmet need of an accurate means to diagnosis hepatic steatosis and serve as a potential alternative to biopsy or MRI-PDFF.

Indexed as

fatty liverMRI-PDFFquantitative ultrasoundVelacur Determined Fat Fraction

Identifiers

PMID40416420
PMCPMC12103244

What OpenQuestion holds

Textmetadata
LicenceTDM
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.