ESTRO 2025 - Abstract Book

S3857

Physics - Radiomics, functional and biological imaging and outcome prediction

ESTRO 2025

Conclusion: The early variation of two MRI-radiomic features was associated with characteristic salivary microbiota compositions in OC patients. This suggests that peritumoral bacteria might modulate the early response of oropharyngeal tumors to radiotherapy. Notably, the identified features were already observed to be informative of early/late tumor response also in rectal/oesophageal/cervix (ERI) and lung/cervix (Large-Dependence-High-Gray Level-Emphasis) cancers.

Keywords: Delta radiomics, microbiota, MRI

References: [1] Corti A, et al. MRI radiomics in head and neck cancer from reproducibility to combined approaches. Sci Rep 14, 9451 (2024). doi:10.1038/s41598-024-60009-6 [2] Bologna M, et al. Repeatability and reproducibility of MRI-radiomic features: A phantom experiment on a 1.5 T scanner. Med Phys. 2023 Feb;50(2):750-762. doi: 10.1002/mp.16054. Epub 2022 Nov 9. PMID: 36310346. [3] Fiorino, Claudio et al. “A TCP-based early regression index predicts the pathological response in neo-adjuvant radio-chemotherapy of rectal cancer.” Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology vol. 128,3 (2018): 564-568. doi:10.1016/j.radonc.2018.06.019

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Digital Poster Principal component analysis improves performances of survival models using radiomics and deep learning Lennart Brocki 1 , Mathieu Hatt 2 , Panagiotis Papadimitroulas 3,4 , Neo Christopher Chung 1 1 Institute of Informatics, University of Warsaw, Warsaw, Poland. 2 Laboratory of medical information processing (LaTIM), INSERM UMR 1101, University of Brest, Brest, France. 3 Bioemtech, Bioemtech, Athen, Greece. 4 Department of Medical Physics, School of Medicine, University of Patras, Rion, Greece