ESTRO 2024 - Abstract Book

S4519

Physics - Machine learning models and clinical applications

ESTRO 2024

Specificity

0.72

0.42

0.54

Precision

0.69

0.59

0.60

Conclusion:

Although the discrimination ability of the DN40 model was slightly lower at external validation, this was statistically comparable to that of a DVH-based random forest model for the same dataset. This indicates that, in addition to potential model overfitting issues, the small drift in AUROC was also likely driven by the dosimetric characteristics of the external dataset. The predicted probabilities at external validation were not well calibrated even after Platt scaling. This could be due to data distribution differences between the two datasets. Future work will aim to improve the generalisability of the model by re-training it on the combined dataset and repeating the external validation exercise on a third independent cohort. Data from the PREDMORN study [3] will provide such an opportunity.

Keywords: mandibular osteoradionecrosis, external validation

References:

1. L. Humbert-Vidan, V. Patel, R. Andlauer, A.P. King, and T. Guerrero Urbano. Prediction of mandibular ORN incidence from 3D radiation dose distribution maps using deep learning. Applications of Medical Artificial Intelligence, AMAI 2022. Lecture Notes in Computer Science, 13540:49–58, 2022. 2. B. Reber, L.V. van Dijk, B. Anderson, A.S.R. Mohamed, C.D. Fuller, S. Lai, and K. Brock. Comparison of machine learning and deep-learning methods for the prediction of osteoradionecrosis resulting from head and neck cancer radiation therapy. Advances in Radiation Oncology, 8:101163, 7 2022. 3. L. Humbert-Vidan, C.R. Hansen, C.D. Fuller, S. Petit, A. Van der Schaaf, L.V. van Dijk, G.M. Verduijn, H. Langendijk, C. Mu.oz-Montplet, W. Heemsbergen, M. Witjes, A.S.R. Mohamed, A.A. Khan, J. Marruecos Querol, I. Oliveras Cancio, V. Patel, A.P. King, J. Johansen, and T. Guerrero Urbano. Protocol letter: A multi-institutional retrospective case-control cohort investigating PREDiction models for Mandibular OsteoRadioNecrosis in head and neck cancer (PREDMORN). Radiotherapy and Oncology, 176:99–100, 11 2022.

2093

Proffered Paper

Statistical Analysis of Side Effects in Head and Neck Cancer Patients from ARTSCAN III trial

Viktor Rogowski 1 , Christian Jamtheim Gustafsson 1,2 , Maria Gebre-Medhin 3,4 , Jung Hun Oh 5 , Per Munck af Rosenschöld 1,6 , André Änghede Haraldsson 1