Evidence map›Paper›PMID 39690040›Full record

ArticleUltrasound in medicine & biology2025

Noninvasive Assessment of Liver Fibrosis in Patients With Iron Overload.

Siddhi Hegde, Theodore T Pierce, Firouzeh Heidari, Arinc Ozturk, Eugene Cheah, Kathleen Pope, Maria A Blake, Angela Shih, Joseph Misdraji, Anthony E Samir

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Ultrasound in medicine & biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Siddhi HegdeCenter for Ultrasound Research and Translation, Massachusetts General Hospital, Boston, MA, USA.
Theodore T PierceCenter for Ultrasound Research and Translation, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA. Electronic address: ttpierce@mgh.harvard.edu.
Firouzeh HeidariCenter for Ultrasound Research and Translation, Massachusetts General Hospital, Boston, MA, USA.
Arinc OzturkCenter for Ultrasound Research and Translation, Massachusetts General Hospital, Boston, MA, USA.
Eugene CheahCenter for Ultrasound Research and Translation, Massachusetts General Hospital, Boston, MA, USA.
Kathleen PopeCenter for Ultrasound Research and Translation, Massachusetts General Hospital, Boston, MA, USA.
Maria A BlakeCenter for Ultrasound Research and Translation, Massachusetts General Hospital, Boston, MA, USA.
Angela ShihHarvard Medical School, Boston, MA, USA.
Joseph MisdrajiYale School of Medicine, Yale New Haven Hospital, New Haven, CT, USA.
Anthony E SamirCenter for Ultrasound Research and Translation, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.

Funding

Development of a Machine Learning Model to Integrate Clinical, Laboratory, Sonographic, and Elastographic Data for Noninvasive Liver Tissue Characterization in NAFLDR01DK119860 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI SAMIR, ANTHONY EDWARD · 2019 to 2023
$2.3M
NIDDK NIH HHS R01 DK119860
6 · The paper itself

Abstract

objectiveWe assessed the diagnostic performance of ultrasound two-dimensional shear wave elastography (US 2D-SWE) to predict clinically significant fibrosis (CSF) in patients with serologic iron overload (SIO) and the subgroup with histologic liver iron overload (LIO).

methodsA single-center retrospective cross-sectional study of adults with SIO (serum ferritin ≥ 200 ng/mL in females and ≥ 300 ng/mL in males) and suspected chronic liver disease with nonfocal liver biopsy results and US 2D-SWE exams within 1 year was performed. Histopathological fibrosis stage ≥2 and liver iron ≥2+ was considered CSF and LIO, respectively. Univariate logistic regression to assess prediction of CSF by Young's modulus (YM) and serum ferritin was performed. Sensitivity and specificity were reported at optimal YM threshold determined by the Youden Index.

results272 cases were included (211 (77.6%) females, 88 (32.4%) CSF cases) with mean (± standard deviation) age of 50.0 (13.6) years. Median YM predicted CSF in patients with SIO (AUC 0.73, 95% confidence intervals (CI) 0.66 -0.80, odds ratio (OR) 1.12), p < 0.001. Optimal YM threshold was 11 kPa (sensitivity 58%, specificity 79%). Subgroup analysis of 47 LIO cases (39 women, mean age 52.5 ± 11.6 years, 17 (36.2%) CSF) showed that median YM predicted CSF (AUC 0.85, 95% CI 0.73-0.97, OR 1.39), p < 0.001. Optimal YM threshold was 11 kPa (sensitivity 77%, specificity 87%).

conclusion2D-SWE is a promising, widely available, and noninvasive tool for diagnosing liver fibrosis in iron overload, including when magnetic resonance elastography may be nondiagnostic due to iron-related artifact.

Indexed as

Elasticity Imaging TechniquesIron OverloadLiver CirrhosisAdultAgedCross-Sectional StudiesFemaleHumansLiverMaleMiddle AgedRetrospective StudiesSensitivity and SpecificityElastographyHemochromatosisIron overloadLiver fibrosisLiver stiffnessShear waveSWE

Identifiers

PMID39690040
PMCPMC11757052

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.