Peritumoral radiomics indicate a gradient transition between renal tumours and their surrounding healthy tissue: A proof-of-concept analysis

Peritumoral radiomics demonstrate structured spatial gradients that vary with tumor subtype. These findings highlight the potential of radiomic analysis for probing tumor-tissue interfaces and for supporting the development of non-invasive imaging biomarkers in renal oncology.

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Publication Details

Journal
European Journal of Radiology
Published
2025-11-13
DOI
https://doi.org/10.1016/j.ejrad.2025.112513
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
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article

Peritumoral radiomics indicate a gradient transition between renal tumours and their surrounding healthy tissue: A proof-of-concept analysis

Antonios Tzortzakakis, Apostolos H. Karantanas, Michail E. Klontzas, Matthaios Triantafyllou et al.
European Journal of Radiology
Radiomics and Machine Learning in Medical Imaging
article

Peritumoral radiomics indicate a gradient transition between renal tumours and their surrounding healthy tissue: A proof-of-concept analysis

Antonios Tzortzakakis, Apostolos H. Karantanas, Michail E. Klontzas, Matthaios Triantafyllou, Savvas Giannettou
article en

Abstract

Peritumoral radiomics demonstrate structured spatial gradients that vary with tumor subtype. These findings highlight the potential of radiomic analysis for probing tumor-tissue interfaces and for supporting the development of non-invasive imaging biomarkers in renal oncology.

European Journal of RadiologyVol. 194
Karolinska University Hospital (SE), University of Crete (GR), University Hospital of Heraklion (GR)
Openalex Percentile: Top 51%
Radiomics and Machine Learning in Medical Imaging
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Peritumoral radiomics indicate a gradient transition between renal tumours and their surrounding healthy tissue: A proof-of-concept analysis — Antonios Tzortzakakis, Apostolos H. Karantanas, et al. · European Journal of Radiology (2025) | TGRS Research Map | TGRS