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Dekker trog - radiomics for oncology - 2017
1. Radiomics for Oncology
Andre Dekker
Department of Radiation Oncology (MAASTRO)
GROW - Maastricht University Medical Centre +
Maastricht,The Netherlands
SLIDES AVAILABLE ON SLIDESHARE
(slideshare.net/AndreDekker)
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Disclosures
• Research collaborations incl. funding and speaker honoraria
– Varian (VATE, SAGE, ROO, chinaCAT, euroCAT), Siemens (euroCAT), Sohard (SeDI,
CloudAtlas), Mirada Medical (CloudAtlas), Philips (EURECA,TraIT, SWIFT-RT, BIONIC),
Xerox (EURECA), De Praktijkindex (DLRA), ptTheragnostic (DART, Strategy), CZ (My
BestTreatment), OncoRadiomics
• Public research funding
– Radiomics (USA-NIH/U01CA143062), euroCAT(EU-Interreg), duCAT&Strategy (NL-
STW), EURECA (EU-FP7), SeDI & CloudAtlas & DART (EU-EUROSTARS),TraIT (NL-
CTMM), DLRA (NL-NVRO), BIONIC (NWO)
• Spin-offs and commercial ventures
– MAASTRO Innovations B.V. (CSO)
– Various patents on medical machine learning
5. Radiomics workflow & (some)
challenges
Andre Dekker
Department of Radiation Oncology (MAASTRO)
GROW - Maastricht University Medical Centre +
Maastricht,The Netherlands
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Feature Extraction – Dimensionality reduction
Gillies et al., Radiology 2016;278(2).
219 features in 235 patients
Aerts et al., NatureCommunications 5, 4006
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Feature Extraction – Imaging Protocols
Oliver et al. ,TranslationalOncology (2015) 8, 524–534
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Feature Extraction – Robust Segmentation
Parmar et al., PLoS One. 2014; 9(7): e102107.
Approaches
1. Perform semi-automatic segmentation
2. Remove features which are too sensitive to the exact segmentation
Larue, et al., Br J Radiol 2017
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Feature Extraction - Software
Non-texture-based features:
Histogram, Geometry
Texture-based features: GLCM,
GLRLM
Sample capacity:
31
51
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Correlation Coefficients Distribution
correlation coefficient range
Fudan University Cancer Hospital (unpublished)
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So, Radiomics needs a lot of training data….
Aerts et al., NatureCommunications 5, 4006
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…. and a lot of validation data
Aerts et al., NatureCommunications 5, 4006
Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis
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Conclusion
• We are still in the very early phase
• A lot of underpowered, exploratory
papers out there
• A lot of dials to control (medical physics
needs to get involved)
• Prospective validation as a decision
support system needed
• TROG can help by collection of highly
standardized images in their trials
• But the promise is HUGE
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Pubmed Radiomics
Radiomics
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Acknowledgements
• MAASTRO Clinic, Maastricht,The Netherlands
– Philippe Lambin, Ralph Leijenaar,….
• Moffitt Cancer Center,Tampa, FL, USA
– Bob Gillies, Bob Gatenby,…
• Dana-Farber Cancer Institute, Brigham andWomen’s Hospital, Harvard Medical School, Boston
– Hugo Aerts, Emmanuel RiosVelazquez, …
• Radboud University Medical Center, Nijmegen,The Netherlands
• VU University Medical Center, Amsterdam,The Netherlands
More info on: www.radiomics.org
25. Thank you for your attention
Andre Dekker
Department of Radiation Oncology (MAASTRO)
GROW - Maastricht University Medical Centre +
Maastricht,The Netherlands