ESTRO 2024 - Abstract Book

S3150

Physics - Autosegmentation

ESTRO 2024

literature. The positive correlation between quantitative scores and clinical evaluations underscores AI’s potential in clinical workflows, setting a performance standard and highlighting areas for ongoing improvement.

Keywords: AI, head and neck, DICE

References:

1. Improving automatic delineation for head and neck organs at risk by Deep Learning Contouring van Dijk, Lisanne V. et al. Radiotherapy and Oncology, Volume 142, 115 – 12, https://doi.org/10.1016/j.radonc.2019.09.022;

2. CT-based delineation of organs at risk in the head and neck region: DAHANCA, EORTC, GORTEC, HKNPCSG, NCIC CTG, NCRI, NRG Oncologand TROG consensus guidelines, Charlotte L. Brouwer et all, http://dx.doi.org/10.1016/j.radonc.2015.07.04;

3. Radiotherapy target volume definition and peer review, second edition, RCR guidance, October 2022;

4. Shi F, Hu W, Wu J, Han M, Wang J, Zhang W, et al. Deep learning empowered volume delineation of whole-body organs-at-risk for accelerated radiotherapy. Nat Commun (2022) 13(1):6566. doi: 10.1038/s41467-022-34257-x

5. Ibragimov B, Xing L. Segmentation of organs-at-risks in head and neck CT images using convolutional neural networks. Med Phys (2017) 44(2):547–75. doi: 10.1111/ijlh.12426

6. Kim N, Chun J, Chang JS, Lee CG, Keum KiC, Kim JS. Feasibility of continual deep learning-based segmentation for personalized adaptive radiation therapy in head and neck area. Cancers (2021) 13(4):1–195. doi: 10.3390/cancers13040702

7. Kendall, Maurice G. "A new measure of rank correlation." Biometrika 30.1/2 (1938): 81-93

8. Vaassen, Femke, et al. "Evaluation of measures for assessing time-saving of automatic organ-at-risk segmentation in radiotherapy." Physics and Imaging in Radiation Oncology 13 (2020): 1-6.

3059

Digital Poster

Dosimetric impact of automatic segmentation of organs at risk in cervical cancer radiotherapy

Sara Trivellato 1 , Bianca Bordigoni 1 , Roberto Pellegrini 2 , Sofia Meregalli 3,4 , Elisa Maria Bonetto 3 , Gianluca Montanari 1 , Martina Camilla Daniotti 1,5 , Stefano Carminati 1,5 , Stefano Arcangeli 3,4 , Elena De Ponti 1,4 1 Fondazione IRCCS SAn Gerardo dei Tintori, Medical Physics Department, Monza, Italy. 2 Elekta AB, Medical Affairs, Stockholm, Sweden. 3 Fondazione IRCCS SAn Gerardo dei Tintori, Department of Radiation Oncology, Monza, Italy. 4 University of Milano Bicocca, School of Medicine and Surgery, Milano, Italy. 5 University of Milano, School of Medical Physics, Milano, Italy

Purpose/Objective: