Evidence map›Paper›PMID 42449827›Full record

ReviewDiagnostics (Basel, Switzerland)2026

Multiparametric Abdominal Ultrasound as a Source of Imaging Biomarkers in Predictive and Personalized Medicine: A Narrative Review.

Simona Steliana Tudor, Ancuta Elena Tupu, Ionela Daniela Ferțu, Caterina Nela Dumitru, Claudia Simona Stefan

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2026. 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

5 authors.

Simona Steliana TudorFaculty of Medicine and Pharmacy, Medical-Pharmaceutical Research Center, "Dunarea de Jos" University of Galați, 800008 Galați, Romania.
Ancuta Elena TupuFaculty of Medicine and Pharmacy, Medical-Pharmaceutical Research Center, "Dunarea de Jos" University of Galați, 800008 Galați, Romania.ORCID 0009-0006-3855-2056
Ionela Daniela FerțuFaculty of Medicine and Pharmacy, Medical-Pharmaceutical Research Center, "Dunarea de Jos" University of Galați, 800008 Galați, Romania.ORCID 0000-0003-1514-953X
Caterina Nela DumitruFaculty of Medicine and Pharmacy, Medical-Pharmaceutical Research Center, "Dunarea de Jos" University of Galați, 800008 Galați, Romania.
Claudia Simona StefanFaculty of Medicine and Pharmacy, Medical-Pharmaceutical Research Center, "Dunarea de Jos" University of Galați, 800008 Galați, Romania.

Funding

"Dunarea de Jos" University of Galati VAT RO50411550.
6 · The paper itself

Abstract

Multiparametric ultrasound (MPUS) has emerged as a clinically relevant platform for the non-invasive generation of quantitative imaging biomarkers, transforming conventional abdominal sonography from a morphological screening tool into a functional, data-rich instrument aligned with predictive and personalized medicine. This review aims to synthesize current evidence on MPUS-derived imaging biomarkers across the principal abdominal organ systems and to examine their integration with radiomics and artificial intelligence. A narrative structured review was conducted through searches of PubMed/MEDLINE, Scopus, and Web of Science (January 2007-May 2026), combining terms related to multiparametric ultrasound, elastography, contrast-enhanced ultrasound (CEUS), quantitative ultrasound, radiomics, and imaging biomarkers. Articles were selected purposively on the basis of relevance, methodological quality, and recency; the review does not follow PRISMA methodology and does not include a formal quantitative synthesis. MPUS integrates B-mode imaging, Doppler, elastography, CEUS, and quantitative acoustic parameters (attenuation coefficient, sound speed, and viscosity) within a single examination. In hepatology, multiparametric protocols enable non-invasive staging of steatosis, fibrosis, and steatohepatitis in metabolic dysfunction-associated steatotic liver disease, portal hypertension assessment, and focal lesion characterization. Emerging applications span pancreatic, renal, vascular, and digestive pathology. The integration of radiomics and artificial intelligence amplifies biomarker potential, enabling molecular subtype prediction, treatment-response assessment, and prognostic stratification. Multiparametric abdominal ultrasound holds genuine promise as a central, non-invasive platform in precision medicine. Standardization of protocols, multicenter validation of quantitative thresholds, and integration with clinical, biochemical, and molecular data remain the principal challenges limiting broader clinical translation.

Indexed as

artificial intelligencecontrast-enhanced ultrasoundelastographyimaging biomarkersmultiparametric ultrasoundpersonalized medicineradiomics

Identifiers

PMID42449827
PMCPMC13359608

What Socratic holds

Textmetadata
LicenceCC BY
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.