Evidence mapPaperPMID 39954964Full record

ArticleThe American journal of pathology2025

Multimodal Diagnostic Imaging of Metabolic Dysfunction-Associated Steatotic Liver Disease: Noninvasive Analyses by Photoacoustic Ultrasound and Magnetic Resonance Imaging.

Alissa Keegan, Gayathri Malamal, Yichien Lee, Kyle Korolowicz, Blythe D Shepard, Carolyn M Ecelbarger, Mariana Moya Rubiano, Maria Laura Avantaggiati, Moshe Levi, Laurie Rich and 6 more

Abstract read
In one paragraph

Article in The American journal of pathology, 2025. 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

16 authors.

Alissa KeeganDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, District of Columbia.
Gayathri MalamalFUJIFILM VisualSonics Inc., Amsterdam, the Netherlands.
Yichien LeeDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, District of Columbia.
Kyle KorolowiczDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, District of Columbia.
Blythe D ShepardDepartment of Human Science, Georgetown University Medical Center, Washington, District of Columbia.
Carolyn M EcelbargerDepartment of Medicine, Georgetown University Medical Center, Washington, District of Columbia.
Mariana Moya RubianoDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, District of Columbia.
Maria Laura AvantaggiatiDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, District of Columbia.
Moshe LeviDepartment of Biochemistry and Molecular and Cell Biology and Center for Biological and Biomedical Engineering, Georgetown University Medical Center, Washington, District of Columbia.
Laurie RichFUJIFILM VisualSonics Inc., Amsterdam, the Netherlands.
Massimo AlfanoDivision of Experimental Oncology/Unit of Urology, Urological Research Institute, Instituto di Ricovero e Cura a Carattere Scientifico Ospedale San Raffaele, Milan, Italy.
Avi RosenbergGenitourinary and Autopsy Divisions, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Stanley FrickeDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, District of Columbia; Department of Radiology, Georgetown University Medical Center, Washington, District of Columbia; Center for Translational Imaging, Georgetown University Medical Center, Washington, District of Columbia.
Chris AlbaneseDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, District of Columbia; Department of Radiology, Georgetown University Medical Center, Washington, District of Columbia; Center for Translational Imaging, Georgetown University Medical Center, Washington, District of Columbia. Electronic address: albanese@georgetown.edu.
Jithin JoseFUJIFILM VisualSonics Inc., Amsterdam, the Netherlands. Electronic address: jithin.jose@fujifilm.com.
Olga RodriguezDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, District of Columbia; Center for Translational Imaging, Georgetown University Medical Center, Washington, District of Columbia.

Funding

Tissue Culture Shared ResourceP30CA051008 · NCI · GEORGETOWN UNIVERSITY · PI Geoffrey Gibney · 1990 to 2026
$71.5M
Role of Estrogen Related Receptors in Age Related Kidney DiseaseR01DK127830 · NIDDK · GEORGETOWN UNIVERSITY · PI MOSHE LEVI · 2021 to 2026
$4.2M
Preclinical Imaging - Bruker 70/30USR BioSpec MagnetS10OD025153 · OD · GEORGETOWN UNIVERSITY · PI ALBANESE, CHRISTOPHER · 2019 to 2019
$1.9M
NCI NIH HHS P30 CA051008NIDDK NIH HHS R01 DK127830NIH HHS S10 OD025153
6 · The paper itself

Abstract

Chronic diseases of the liver are major public health concerns worldwide. Steatosis and steatohepatitis associated with alcoholic liver disease, metabolic dysfunction-associated fatty liver disease/nonalcoholic fatty liver disease, and hepatitis B and C contribute to chronic diseases of the liver. Liver fibrosis occurs in all forms of advanced chronic diseases of the liver, the confirmation of which is typically performed by needle biopsy. Imaging approaches for liver diagnosis exist but do not provide sufficient diagnostic accuracy for defining the various stages of fibrosis or steatosis. Therefore, there is a need for improved imaging capabilities to enhance disease diagnosis. Ultrasonography-based photoacoustic imaging has recently emerged as a noninvasive, nonionizing modality, capable of capturing structural details and oxygen saturation changes during disease progression. However, its potential for detecting surrogate metabolic dysfunction-associated fatty liver disease markers, such as collagen and lipids, which are often poorly resolved by other conventional imaging techniques, has yet to be investigated in detail. The novelty of this study lies in the innovative use of spectral photoacoustic imaging for the direct detection and quantification of key biomarkers of liver disease, such as fibrosis, collagen, lipids, and oxygenated and deoxygenated hemoglobin, in a mouse model of steatotic fatty liver disease. Ultrasonography-based photoacoustic imaging, validated with magnetic resonance imaging, effectively identified increases in liver adiposity and fibrosis, enabling the noninvasive detection of changes in liver pathology associated with metabolic dysfunction.

Indexed as

Fatty LiverMagnetic Resonance ImagingMultimodal ImagingNon-alcoholic Fatty Liver DiseasePhotoacoustic TechniquesAnimalsHumansLiverLiver CirrhosisMaleMiceMice, Inbred C57BLUltrasonography

Identifiers

PMID39954964
PMCPMC12016859

What Socratic holds

Textmetadata
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 Socratic graph.