Evidence map›Paper›PMID 42573770›Full record

ReviewAbdominal radiology (New York)2026

Liver metastases beyond classical imaging findings.

Roberto Garcia-Figueiras, Sandra Baleato-González, Joan C Vilanova, Antonio Luna

Abstract readReview
PubMed Publisher
In one paragraph

Review in Abdominal radiology (New York), 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

4 authors.

Roberto Garcia-FigueirasDepartment of Radiology, Hospital Clínico Universitario de Santiago de Compostela and University odf Santiago de Compostela (USC), Santiago de Compostela, Spain.
Sandra Baleato-GonzálezDepartment of Radiology, Hospital Clínico Universitario de Santiago de Compostela and University odf Santiago de Compostela (USC), Santiago de Compostela, Spain. baleatorum@hotmail.com.
Joan C VilanovaDepartment of Radiology, Clinica Girona, Girona, Spain.
Antonio LunaHTmédica, Jaén, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver metastases represent the most common form of secondary hepatic malignancy and a major determinant of outcomes in oncologic patients. Imaging plays a fundamental role in detection, characterization, therapy planning, and treatment response assessment of liver metastases. Classical imaging techniques can determine the presence, number, location, and resectability of liver metastases. Newer approaches can also assess biological characteristics of metastases important for guiding treatment strategies and predicting outcomes. Advanced imaging techniques, radiomics, and artificial intelligence (AI) can enhance the clinical capabilities of imaging by assessing tumor biological heterogeneity, thus improving predictions of therapeutic responses and patient outcomes. Nevertheless, implementing these advanced imaging approaches in clinical practice remains challenging. This review aims to present a comprehensive overview of the state of the art in imaging evaluation of liver metastases, with a particular focus on recent innovations and emerging developments. It reviews imaging features suggestive of specific primary malignancies, as well as atypical presentations of liver metastases. Additionally, it discusses imaging's potential to assess key histopathologic, molecular, and genetic characteristics of liver metastases and highlights its role in lesion characterization, prognostic stratification, therapeutic decision-making, and treatment planning. Finally, it addresses the challenges facing the use of advanced imaging techniques in the assessment of liver metastases and outlines future directions for research and clinical practice. Readers should take away an understanding of the evolving role of radiology in the management of liver metastases resulting from the paradigm shift from predominantly morphologic to biologically informed imaging.

Indexed as

Advanced ImagingArtificial intelligenceHistopathological growth patternsImaging featuresLiver metastasesMolecular profilingPrognostic factorsRadiomicsResponse assessment

Identifiers

What OpenQuestion holds

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Registered trials

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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.