INTERDISCIPLINARY RADIOBIOLOGY CLINICAL BRACHYTHERAPY PHYSICS RTT YOUNG
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Programme and Exhibition Guide |
SCIENTIFIC PROGRAMME
TUESDAY 9 MAY 2017
SYMPOSIUM
Novel approaches for combining imaging and non-imaging data for
radiotherapy response predicition
11:00 - 12:00 | LEHAR 1-3
This symposium focused on different approaches to combine imaging and non-
imaging data to better predict radiotherapy (RT) outcome. Firstly, the role of
oxygenation in tumor radio-sensitivity as well as current methods to assess tumor
oxygenation will be discussed, followed by an example of volume and oxygen-
related data integration in tumor evolution models. The second lecture will focus
on radiomics, radiogenomics and imaging genomics as well as on methods for
multi-scale data fusion. In addition, the usage of deep learning techniques X such as
convolutional neural networks for RT outcome prediction will be discussed. Finally,
first results will be presented where a classifier is created that predicts the presence of
cancer on a voxel-level based on multi-parametric prostate MRI data analyzed with
feature extraction techniques. By adding population based knowledge about intra-
prostatic cancer distribution and individual information from biopsies, the classifier
performance can be further improved to predict clinical outcome measures after
treatment of prostate cancer.
Chair: D. Thorwarth (Germany)
Co-chair: J. Grezdo (Slovakia)
11:00 > Modeling the interplay among volume, vascularization and radio-
sensitivity in cervical cancer exploiting 3D-Doppler data
Speaker: A. Belfatto (Italy)
SP-0595
11:20 > Machine learning and bioinformatics approaches to combine imaging
with non-imaging data for outcome prediction
Speaker: O. Gevaert (USA)
SP-0596
11:40 > Tissue classification models for prostate based on imaging and non-
imaging data
Speaker: U. Van der Heide (The Netherlands)
SP-0597
DEBATE
Precision in radiotherapy: mission complete!
11:00 - 12:00 | STRAUS 1
Chair: M. Mast (The Netherlands)
Co-chair: F. Moura (Portugal)
11:00 > For the motion
Speaker: C. Dickie (Canada)