Evidence map›Paper›PMID 41872897›Full record

ReviewRadiation oncology (London, England)2026

Multicenter peritumoral radiomics in oncology: advances, challenges, and future directions.

Jie Li, Junting Wei, Ruixin Pan, Dianpei Ma, Zongyu Xie, Zhizhen Gao

Abstract readReview
In one paragraph

Review in Radiation oncology (London, England), 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

6 authors.

Jie LiSchool of Medical Imaging, Bengbu Medical University, Bengbu, China.ORCID http://orcid.org/0009-0003-2326-2492
Junting WeiSchool of Medical Imaging, Bengbu Medical University, Bengbu, China.ORCID http://orcid.org/0009-0001-1994-8286
Ruixin PanSchool of Medical Imaging, Bengbu Medical University, Bengbu, China.ORCID http://orcid.org/0009-0006-6371-749X
Dianpei MaDepartment of Radiology, Shanghai Traditional Chinese Medicine Hospital, Shanghai, China.
Zongyu XieDepartment of Radiology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, China. zongyuxie@sina.com.ORCID http://orcid.org/0000-0003-1359-5157
Zhizhen GaoDepartment of Radiology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, China. gaozhizhen269@bbmu.edu.cn.ORCID http://orcid.org/0009-0000-8918-9185

Funding

the Cultivation Project for Leading Disciplinary (Professional) Talents in Medical Imaging of Anhui Province DTR2024028the Key Support and Cultivation Discipline Special Project (Quantum Medicine Special Project) of Bengbu Medical University 2024bypy017
6 · The paper itself

Abstract

The peritumoral region harbors critical microenvironmental heterogeneity information and has long been a focal point in radiomics research. This article systematically reviews the progress of multicenter peritumoral radiomics in oncology, with emphasis on its clinical and biological applications. Studies indicate that peritumoral radiomics may demonstrate value in tumor diagnosis/differential diagnosis, molecular subtyping identification, prediction of clinicopathological indicators, prognostic risk assessment, and treatment response evaluation. Multicenter validation shows that incorporating peritumoral features can enhance model performance for certain tasks, with peritumoral characteristics potentially outperforming intratumoral features in specific scenarios. At the biological mechanism level, peritumoral radiomics exhibits associations with genomics and immune microenvironment events, offering novel perspectives for non-invasive tumor biology analysis. However, the field still faces challenges including limited model generalizability, standardization and reproducibility issues, demands for interpretability, ambiguous peritumoral region definitions, and multi-omics integration barriers - these limitations necessitate cautious interpretation of current findings. Future breakthroughs may rely on prospective multicenter studies, standardized protocols, explainable AI techniques, biologically-driven optimization of peritumoral definitions, and innovative multi-omics fusion algorithms. To promote clinical translation, it is necessary to enhance model robustness and interpretability while deepening research on the association with tumor biological mechanisms.

Indexed as

Medical OncologyNeoplasmsRadiomicsTumor MicroenvironmentHumansMultiomicsPrognosisBiological mechanismsChallenges and perspectivesClinical applicationsMulticenter studiesPeritumoral radiomicsTumor microenvironment

Identifiers

PMID41872897
PMCPMC13107878

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.