Evidence map›Paper›PMID 41523253›Full record

ReviewAmerican journal of cancer research2025

The impact of radiogenomics on breast cancer.

Xinqiang Guo, Xuelian Xiang, Chunhong Zhuang, Hongxia Zhang

Abstract readReview
In one paragraph

Review in American journal of cancer research, 2025. 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.

Xinqiang GuoDepartment of Radiology, Tongde Hospital of Zhejiang Province Hangzhou 310012, Zhejiang, China.
Xuelian XiangDepartment of Radiology, Tongde Hospital of Zhejiang Province Hangzhou 310012, Zhejiang, China.
Chunhong ZhuangDepartment of Radiology, Tongde Hospital of Zhejiang Province Hangzhou 310012, Zhejiang, China.
Hongxia ZhangDepartment of Radiology, Tongde Hospital of Zhejiang Province Hangzhou 310012, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in radiomics and machine learning techniques have facilitated the extraction of quantitative radiomic features that can be correlated with genomic data. Breast MRI-based radiogenomics, which combines MRI radiomics and genomics, is an emerging field that non-invasively reflects tumor heterogeneity and assesses the biological behaviour of breast cancer. Studies have shown that radiogenomics has the potential to replace traditional genetic testing for breast cancer, reducing the need for invasive procedures such as biopsies. In the future, the clinical application of radiogenomics as a tool for molecular subtype identification, treatment response and prognosis prediction, and recurrence risk assessment is both necessary and feasible.

Indexed as

breast cancermagnetic resonance imaging (MRI)molecular subtypeneoadjuvant chemotherapy (NAC)Radiogenomics

Identifiers

PMID41523253
PMCPMC12789911

What OpenQuestion 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 OpenQuestion graph.