ESTRO 2024 - Abstract Book

S5008

Physics - Radiomics, functional and biological imaging and outcome prediction

ESTRO 2024

Currently, there is still no clear picture on how to limit radiation doses to prevent the risk of RIL during and after RT. Many dosimetric parameters of immune structures at risk have been shown to be strongly correlated with moderate to severe RIL. Following the identification by VBA of the organs most likely implicated in RIL development, we developed a logistic NTCP model for severe RIL among lung cancer patients which included lung irradiation and pre RT lymphocyte counts as independent risk factors. Further validation studies are needed on external cohorts in order to implement effective RIL mitigation strategies

Keywords: Radiation induced lymphopenia, NTCP

References:

[1] Abravan A, Faivre-Finn C, Kennedy J, McWilliam A, van Herk M. Radiotherapy-Related Lymphopenia Affects Overall Survival in Patients With Lung Cancer. J Thorac Oncol. 2020;15:1624-35.

[2] Monti S, Xu T, Liao Z, Mohan R, Cella L, Palma G. On the interplay between dosiomics and genomics in radiation induced lymphopenia of lung cancer patients. Radiotherapy and Oncology. 2022;167:219-25.

[3] Cho Y, Kim Y, Chamseddine I, Lee WH, Kim HR, Lee IJ, et al. Lymphocyte dynamics during and after chemo-radiation correlate to dose and outcome in stage III NSCLC patients undergoing maintenance immunotherapy. Radiother Oncol. 2022;168:1-7. [4] Liao Z, Lee JJ, Komaki R, Gomez DR, O'Reilly MS, Fossella FV, et al. Bayesian Adaptive Randomization Trial of Passive Scattering Proton Therapy and Intensity-Modulated Photon Radiotherapy for Locally Advanced Non-Small-Cell Lung Cancer. J Clin Oncol. 2018;36:1813-22.

1045

Digital Poster

Characterising spatial distribution of imaging parameters in cervical cancer

Mohammed Abdul-Latif 1 , Amani Chowdhury 1 , Hannah Tharmalingam 1 , Yatman Tsang 2 , Peter Hoskin 1,3

1 Mount Vernon Cancer Centre, Department of Clinical Oncology, Northwood, United Kingdom. 2 Princess MArgaret Cancer Center, Radiation Medicine Programme, Toronto, Canada. 3 University of Manchester, Division of Cancer Sciences, Manchester, United Kingdom

Purpose/Objective:

Characterising spatial homogeneity (SH) of functional magnetic resonance imaging (fMRI) can identify areas of interest (AOI) within the whole tumour volume (WTV). These can reflect biological properties 1 . In radiotherapy, AOI can represent targets for dose modification using dose painting external-beam algorithms or directing brachytherapy catheter placement, depending on the parameter being characterised.