Evidence map›Paper›PMID 39935290›Full record

ArticleUltrasonography (Seoul, Korea)2025

Ultrasound-based radiogenomics: status, applications, and future direction.

Si-Rui Wang, Yu-Ting Shen, Bin Huang, Hui-Xiong Xu

Abstract read
In one paragraph

Article in Ultrasonography (Seoul, Korea), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Radiomics and radiogenomics in ovarian cancer: a review with a focus on ultrasound applications.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
    Review
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.

Si-Rui WangDepartment of Ultrasound, Institute of Ultrasound in Medicine and Engineering, Shanghai Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Shanghai, China.
Yu-Ting ShenDepartment of Ultrasound, Institute of Ultrasound in Medicine and Engineering, Shanghai Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Shanghai, China.
Bin HuangDepartment of Ultrasound, Zhejiang Hospital, Hangzhou, China.
Hui-Xiong XuDepartment of Ultrasound, Institute of Ultrasound in Medicine and Engineering, Shanghai Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Shanghai, China.

Funding

Fudan University IDF152076Ministry of Science and Technology 2023YFC2414204Science and Technology Commission of Shanghai Municipality 19DZ2251100Shanghai Municipal Health Commission SHSLCZDZK 03502Zhongshan Hospital of Fudan University 2022ZSQD07
6 · The paper itself

Abstract

Radiogenomics, an extension of radiomics, explores the relationship between imaging features and underlying gene expression patterns. This field is instrumental in providing reliable imaging surrogates, thus potentially representing an alternative to genetic testing. The rapidly growing area of radiogenomics that utilizes ultrasound (US) imaging seeks to elucidate the connections between US image characteristics and genomic data. In this review, the authors outline the radiogenomics workflow and summarize the applications of US-based radiogenomics. These include the prediction of gene variations, molecular subtypes, and other biological characteristics, as well as the exploration of the relationships between US phenotypes and cancer gene profiles. Although the field faces various challenges, US-based radiogenomics offers promising prospects and avenues for future research.

Indexed as

Imaging genomicsNeoplasmsPrecision medicineRadiomicsUltrasonography

Identifiers

PMID39935290
PMCPMC11938802

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.