Evidence map›Paper›PMID 42042934›Full record

ArticleTomography (Ann Arbor, Mich.)2026

MRI Quantification of Liver Fibrosis Using Diamagnetic Susceptibility: An Ex Vivo Validation Study.

Chao Li, Jinwei Zhang, Alexey V Dimov, Anne K Koehne de González, Martin R Prince, Jiahao Li, Dominick Romano, Pascal Spincemaille, Thanh D Nguyen, Gary M Brittenham and 1 more

Abstract readValidation Study
In one paragraph

Article in Tomography (Ann Arbor, Mich.), 2026. 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

11 authors.

Chao LiDepartment of Radiology, Weill Cornell Medicine, New York, NY 10065, USA.
Jinwei ZhangDepartment of Radiology, Weill Cornell Medicine, New York, NY 10065, USA.
Alexey V DimovDepartment of Radiology, Weill Cornell Medicine, New York, NY 10065, USA.ORCID 0000-0003-0460-6635
Anne K Koehne de GonzálezDepartment of Pathology, Columbia University, New York, NY 10032, USA.
Martin R PrinceDepartment of Radiology, Weill Cornell Medicine, New York, NY 10065, USA.ORCID 0000-0002-9883-0584
Jiahao LiDepartment of Radiology, Weill Cornell Medicine, New York, NY 10065, USA.ORCID 0000-0002-4706-4808
Dominick RomanoDepartment of Radiology, Weill Cornell Medicine, New York, NY 10065, USA.
Pascal SpincemailleDepartment of Radiology, Weill Cornell Medicine, New York, NY 10065, USA.
Thanh D NguyenDepartment of Radiology, Weill Cornell Medicine, New York, NY 10065, USA.ORCID 0000-0002-1411-7694
Gary M BrittenhamDepartment of Pediatrics, Columbia University, New York, NY 10032, USA.
Yi WangDepartment of Radiology, Weill Cornell Medicine, New York, NY 10065, USA.ORCID 0000-0003-1404-8526

Funding

National Institute of Health grants R01CA181566, R01NS090464, R01DK116126, R01NS095562
6 · The paper itself

Abstract

BACKGROUND/

objectivesLiver fibrosis, if left untreated, can lead to cirrhosis and cancer. The current standard liver biopsy for fibrosis staging is invasive and prone to risks of complication. The objective of this study was to develop a new noninvasive method to quantify fibrosis using diamagnetic susceptibility sources generated from multi-echo gradient echo (mGRE) data with both magnitude decay R2* modeling and phase QSM modeling.

methodsmGRE data of ex vivo liver explants was processed with fat-water separation and then susceptibility source separation. Negative susceptibility was used to measure diamagnetic fibrosis. In 20 formalin-fixed liver explant sections, negative susceptibility maps were compared with other MRI parameters against pathology for fibrosis staging.

resultsThe correlation between the negative susceptibility sources and the fibrosis stages was evaluated with Spearman coefficients. Negative susceptibility differentiated (i) no or mild fibrosis (stages F0 to F1) from moderate-to-advanced fibrosis (stages F2 to F3;

conclusionsFor staging fibrosis, negative susceptibility was superior to other MRI parameters, including R2*, QSM, and PDFF. Negative susceptibility sources were positively correlated with the fibrosis stage (r = 0.60). Negative susceptibility could be valuable for MRI staging in liver fibrosis.

Indexed as

Liver CirrhosisMagnetic Resonance ImagingHumansLiverReproducibility of ResultsSensitivity and Specificityliver fibrosisquantitative susceptibility mappingsusceptibility source separation

Identifiers

PMID42042934
PMCPMC13119593

What Socratic holds

Textmetadata
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.