ESTRO 2024 - Abstract Book

S4463

Physics - Machine learning models and clinical applications

ESTRO 2024

[3] Pehlivan B, Ares C, Lomax AJ, Stadelmann O, Goitein G, Timmermann B, Schneider RA, Hug EB. Temporal lobe toxicity analysis after proton radiation therapy for skull base tumors. Int J Radiat Oncol Biol Phys. 2012 Aug 1;83(5):1432-40. doi: 10.1016/j.ijrobp.2011.10.042 [4] McDonald MW, Linton OR, Calley CS. Dose-volume relationships associated with temporal lobe radiation necrosis after skull base proton beam therapy. Int J Radiat Oncol Biol Phys. 2015 Feb 1;91(2):261-7. doi: 10.1016/j.ijrobp.2014.10.011. [5] Molinelli S, Russo S, Magro G, Maestri D, Mairani A, Mastella E, Mirandola A, Vai A, Vischioni B, Valvo F, Ciocca M. Impact of TPS calculation algorithms on dose delivered to the patient in proton therapy treatments. Phys Med Biol. 2019 Apr 4;64(7):075016. doi: 10.1088/1361-6560/ab0a4d.

[6] Common Terminology Criteria for Adverse Events (CTCAE) Version 5. Published: November 27. https://ctep.cancer.gov/protocoldevelopment/electronic_applications/docs/CTCAE_v5_Quick_Reference_8.5x11.pdf

[7] Bunea F, She Y, Ombao H, Gongvatana A, Devlin K, Cohen R. Penalized least squares regression methods and applications to neuroimaging. Neuroimage. 2011;55(4):1519-1527. doi:10.1016/j.neuroimage.2010.12.028

1294

Proffered Paper

A Multi-Omics Database Using Clinical Trial Data for Rectal Cancer Radiotherapy Outcome Prediction

Zhuoyan Shen 1 , Douglas Brand 1,2 , Mikael Simard 1 , Ying Zhang 1 , Gary Royle 1 , Andre Lopes 3 , Rubina Begum 3 , Nicholas West 4 , Ane Appelt 4 , Alexandra Gilbert 4 , Elizabeth Miles 5 , Tim Maughan 6 , David Sebag-Montefiore 4 , Charles-Antoine Collins-Fekete 1 , Maria A Hawkins 1,2 1 University College London, Department of Medical Physics and Biomedical Engineering, London, United Kingdom. 2 University College London Hospitals NHS Foundation Trust, Department of Radiotherapy, London, United Kingdom. 3 University College London, Cancer Institute, London, United Kingdom. 4 University of Leeds, School of Medicine, Leeds, United Kingdom. 5 Mount Vernon Cancer Centre, The Radiotherapy Trials Quality Assurance Group, London, United Kingdom. 6 University of Oxford, Department of Oncology, Oxford, United Kingdom

Purpose/Objective:

Chemoradiation (CRT) is an accepted neoadjuvant treatment for locally advanced rectal cancer (LARC), but patient selection for treatment has not changed in nearly two decades. Prediction models using both tumour and patient characteristics may permit personalised interventions. However, integrating pathology, radiology and genomic data into multi-modal models is challenging due to the technical complexities and lack of highly curated databases for multicentre cohorts. RADIANT is a proof-of-concept proposal linking data from multiple repositories derived from the ARISTOTLE (ISRCTN09351447) [1] trial cohort and applying artificial intelligence (AI) predictive modelling using multi omics data.