Evidence map›Paper›PMID 37623455›Full record

ReviewJournal of personalized medicine2023

Radiomics and Radiogenomics in Preclinical Imaging on Murine Models: A Narrative Review.

Serena Monti, Maria Elena Truppa, Sandra Albanese, Marcello Mancini

Open access · goldAbstract readReview
In one paragraph

Review in Journal of personalized medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 21% of its field
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

6 citing papers in PubMed, 5 citations in OpenAlex.

  1. The Next Frontier in Quantitative Co-Clinical Imaging to Advance Functional Precision Oncology.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
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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 at 1 institution in 1 country.

Serena MontiNational Research Council, Institute of Biostructures and Bioimaging, 80145 Naples, Italy.ORCID 0000-0002-8777-7837
Maria Elena TruppaNational Research Council, Institute of Biostructures and Bioimaging, 80145 Naples, Italy.
Sandra AlbaneseNational Research Council, Institute of Biostructures and Bioimaging, 80145 Naples, Italy.
Marcello ManciniNational Research Council, Institute of Biostructures and Bioimaging, 80145 Naples, Italy.ORCID 0000-0003-2731-1434
Institute of Biostructure and Bioimaging · IT

Funding

Italian Minister of University and Research CIR01_00023 - "IMPARA - IMAGING DALLE MOLECOLE ALLA PRECLINICA"
6 · The paper itself

Abstract

Over the past decade, medical imaging technologies have become increasingly significant in both clinical and preclinical research, leading to a better understanding of disease processes and the development of new diagnostic and theranostic methods. Radiomic and radiogenomic approaches have furthered this progress by exploring the relationship between imaging characteristics, genomic information, and outcomes that qualitative interpretations may have overlooked, offering valuable insights for personalized medicine. Preclinical research allows for a controlled environment where various aspects of a pathology can be replicated in animal models, providing radiomic and radiogenomic approaches with the unique opportunity to investigate the causal connection between imaging and molecular factors. The aim of this review is to present the current state of the art in the application of radiomics and radiogenomics on murine models. This review will provide a brief description of relevant articles found in the literature with a discussion on the implications and potential translational relevance of these findings.

Indexed as

mouse modelmurine modelpreclinical imagingradiogenomicsradiomics

Identifiers

PMID37623455
PMCPMC10455673
OpenAlexW4385423740

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.