ESTRO 2024 - Abstract Book

S4973

Physics - Radiomics, functional and biological imaging and outcome prediction

ESTRO 2024

We gathered the five networks from the cross-validation into an ensemble by averaging the outputs and reached a final test score of 0.7705 C-Index. Finally, we showed that the predicted LF risks by our ensemble did not correlate with the BM volumes on the test set (r = 0.122, p = 0.229).

Conclusion:

Even with a relatively small training set in the context of deep learning, our methods could achieve competitive prediction results of time-to-LF within an independent external test set. This poses a valid alternative to radiomics approaches. Guiding the network by segmentation information and combination with clinical variables was key to enhancing the prediction.

Keywords: brain, local failure, time-to-event prediction

References:

1. Buchner, J.A., Kofler, F., Etzel, L., Mayinger, M., Christ, S.M., Brunner, T.B., Wittig, A., Menze, B., Zimmer, C., Meyer, B., et al.: Development and external validation of an mri-based neural network for brain metastasis segmentation in the aurora multicenter study. Radiotherapy and Oncology 178, 109425 (2023) 2. Cox, D.R.: Partial likelihood. Biometrika 62(2), 269–276 (1975) 3. He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 770–778 (2016) 4. Mobadersany, P., Yousefi, S., Amgad, M., Gutman, D.A., Barnholtz-Sloan, J.S., Velázquez Vega, J.E., Brat, D.J., Cooper, L.A.: Predicting cancer outcomes from histology and genomics using convolutional networks. Proceedings of the National Academy of Sciences 115(13), E2970–E2979 (2018)

534

Poster Discussion

Predicting radiation-induced pneumonitis using MR-based ventilation imaging at a 0.35 T MR-Linac

Rabea Klaar 1,2 , Moritz Rabe 3 , Anna Theresa Stüber 1,4,5 , Stefanie Corradini 3 , Chukwuka Eze 3 , Claus Belka 3,6,7 , Guillaume Landry 3 , Christopher Kurz 3 , Julien Dinkel 1,2 1 Department of Radiology, LMU University Hospital, LMU Munich, Munich, Germany. 2 Comprehensive Pneumology Center (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany. 3 Department of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany. 4 Munich Center for Machine Learning, (MCML), Munich, Germany. 5 Department of Statistics, LMU Munich, Munich, Germany. 6 German Cancer Consortium (DKTK), partner site Munich, a partnership between DKFZ and LMU University Hospital Munich, Munich, Germany. 7 Bavarian Cancer Research Center, (BZKF), Munich, Germany