Radiomics: Unlocking Personalized Insights from Medical Images
A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Methodology, Drug and Device Discovery".
Deadline for manuscript submissions: 25 July 2026 | Viewed by 31
Special Issue Editors
2. Interventional Radiology Unit, University Hospital of Geneva (HUG), 1205 Geneva, Switzerland
Interests: interventional radiology; interventional oncology; vascular stenting; imaging/radiolmics
Interests: interventional radiology; interventional oncology; biliary interventions; preclinical research; artificial intelligence; robotics
Special Issue Information
Dear Colleagues,
Radiomics converts standard medical images into numerical biomarkers, helping assess cancer risk, better understand biology, and inform treatment decisions. Early research showed that intratumoral features have prognostic value, and recent developments emphasize the importance of peritumoral environments and combining various types of data.Curate methods and applications that have been thoroughly validated, are easy to interpret clinically, and can be applied across different institutions, scanners, and populations.
Our Special Issue seeks original research and comprehensive reviews on radiomics methods and applications that support precision medicine across the cancer spectrum, from risk assessment and prevention to diagnosis, treatment options, and outcome monitoring. We welcome studies examining both intratumoral and peritumoral habitats to improve our understanding of the tumor–microenvironment interface, which is increasingly linked to tumor biology, treatment response, and survival. Key areas of focus include reliable feature engineering and harmonization, delta-radiomics, external validation and clinical usefulness, and multimodal integration with genomics and other omics for radiogenomics discovery and patient stratification. We invite submissions that demonstrate how peritumoral signatures enhance nodal staging, risk stratification, and response prediction beyond intratumoral features alone in lung, brain, breast, and other cancers. Studies with large population cohorts for stratified screening or prevention, as well as research on reproducibility, bias, and model governance, are particularly relevant. Our goal is to showcase clinically actionable radiomics that can inform personalized therapy, adaptive management, and equitable implementation in real-world settings.
What kinds of papers we are soliciting:
- Original research on intratumoral + peritumoral modeling for prediction, staging, and response;
- Method papers on feature robustness, harmonization, and domain adaptation;
- Delta-radiomics and longitudinal monitoring studies;
- External validation, clinical utility, and health–economic impact analyses;
- Multimodal fusion (imaging + genomics/omics/clinical) for stratification;
- Large-cohort or population-scale screening/prevention studies;
- Reproducibility, bias mitigation, transparency, and model governance;
- Reviews, tutorials, and benchmarks with open code/data.
Dr. Genti Xhepa
Dr. Baptiste Bonnet
Dr. Alexis Ricoeur
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Personalized Medicine is an international peer-reviewed open access monthly journal published by MDPI.
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