ESTRO 2024 - Abstract Book
S4970
Physics - Radiomics, functional and biological imaging and outcome prediction
ESTRO 2024
radiomic features extracted. This suggests that if features utilised in predictive modelling are selected due to their excellent reproducibility in interobserver studies with a limited number of observers, the models may not be as accurate as anticipated.
Keywords: Reproducibility, interobserver variation
References:
[1] Y. Zhou, H.-L. Gu, X.-L. Zhang, Z.-F. Tian, X.-Q. Xu, and W.-W. Tang, ‘Multiparametric magnetic resonance imaging derived radiomics for the prediction of disease-free survival in early-stage squamous cervical cancer’, Eur. Radiol., vol. 32, no. 4, pp. 2540–2551, Apr. 2022, doi: 10.1007/s00330-021-08326-6.
[2] R. Zheng et al., ‘An MRI-based radiomics signature and clinical characteristics for survival prediction in early-stage cervical cancer’, Br. J. Radiol., vol. 95, no. 1129, p. 20210838, Jan. 2022, doi: 10.1259/bjr.20210838.
[3] R. Beare, B. Lowekamp, and Z. Yaniv, ‘Image Segmentation, Registration and Characterization in R with SimpleITK’, J. Stat. Softw., vol. 86, pp. 1–35, Sep. 2018, doi: 10.18637/jss.v086.i08.
[4] J. J. van Griethuysen et al., ‘Computational Radiomics System to Decode the Radiographic Phenotype’, Cancer Res., vol. 77, no. 21, pp. e104–e107, Nov. 2017, doi: 10.1158/0008-5472.CAN-17-0339.
[5] W. Revelle, ‘psych: Procedures for Psychological, Psychometric, and Personality Research’. Sep. 26, 2023. Accessed: Oct. 17, 2023. [Online]. Available: https://cran.r-project.org/web/packages/psych/index.html
[6] T. K. Koo and M. Y. Li, ‘A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research’, J. Chiropr. Med., vol. 15, no. 2, pp. 155–163, Jun. 2016, doi: 10.1016/j.jcm.2016.02.012.
533
Poster Discussion
Deep Learning based prediction of time to post-therapy local failure in brain metastasis patients
Ayhan Can Erdur 1,2 , Daniel Scholz 1,3 , Josef A Buchner 2 , Michael Mayinger 4 , Sebastian M Christ 4 , Thomas B Brunner 5 , Andrea Wittig 6 , Bernhard Meyer 7 , Matthias Guckenberger 4 , Nicolaus Andratschke 4 , Rami A El Schafie 8 , Juergen Debus 8 , Susanne Rogers 9 , Oliver Riesterer 9 , Katrin Schulze 10 , Oliver Blanck 11 , Constantinos Zamboglou 12 , Robert Wolff 13 , Anca L Grosu 12,14 , Angelika Bilger 12,14 , Denise Bernhardt 2 , Stephanie E Combs 2,15,16 , Daniel Rueckert 1 , Benedikt Wiestler 3 , Jan C Peeken 2,15,17 1 Klinikum rechts der Isar, Technical University of Munich, Institute for Artificial Intelligence and Informatics in Medicine, Munich, Germany. 2 Klinikum rechts der Isar, Technical University of Munich, Department of Radiation Oncology, Munich, Germany. 3 Klinikum rechts der Isar, Technical University of Munich, Department of Neuroradiology, Munich, Germany. 4 University Hospital of Zurich, University of Zurich, Department of Radiation
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