dekker trog - radiomics for oncology - 2017
TRANSCRIPT
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Radiomics for Oncology
Andre DekkerDepartment 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 Best Treatment), 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
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This talk• Rationale (animation)
• Radiomics workflow & challenges
• New directions
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Rationale• https://www.youtube.com/watch?v=Vf0F7q8vaS4
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Radiomics workflow & (some) challenges
Andre DekkerDepartment of Radiation Oncology (MAASTRO)GROW - Maastricht University Medical Centre +Maastricht, The Netherlands
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Radiomics WorkflowLambin, Walsh et al., Nat Rev Clin Oncol (in-press)
Larue, et al., Br J Radiol 2017
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Feature Extraction – Dimensionality reduction
Gillies et al., Radiology 2016;278(2).
219 features in 235 patients
Aerts et al., Nature Communications 5, 4006
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Feature Extraction – Imaging Protocols
Oliver et al. , Translational Oncology (2015) 8, 524–534
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Feature Extraction – Robust Segmentation
Parmar et al., PLoS One. 2014; 9(7): e102107.
Approaches1. Perform semi-automatic segmentation2. 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, GeometryTexture-based features: GLCM, GLRLM
Sample capacity: 31 51 33
Correlation Coefficients Distribution
correlation coefficient range
Fudan University Cancer Hospital (unpublished)
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Feature Extraction – Phantom / Ontology
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So, Radiomics needs a lot of training data….
Aerts et al., Nature Communications 5, 4006
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…. and a lot of validation data
Aerts et al., Nature Communications 5, 4006
Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis
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Radiomics – End result
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New directions
Andre DekkerDepartment of Radiation Oncology (MAASTRO)GROW - Maastricht University Medical Centre +Maastricht, The Netherlands
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Radiomics – Preclinical
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Radiomics – PET
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Radiomics - MRI• Rectal cancer - Chemoradiation• Pathological response• Training n=173, Validation n=25• AUC 0.79 (validation)
1) MR GTV delineation
2) GTV ROI extraction
3) LoG filter application according different s
0.3 0.5 1.0 2.0 3.0 4.0
4) Data analysis
|||cT
234
Points
| | |cN
||||||||||||||SKE0485
−0.6−0.4−0.200.20.40.6
| | | | | | | | | |ENT0344
1.6 1.8 2 2.2 2.4
| | | | | | | || | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |Total Points
320 330 340 350 360 370 380 390
0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9
TRG1Probability
0 1 2
0 10 20 30 40 50 60 70 80 90 100 110 120 130 140 150 160 170 180 190
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Radiomics – Delta Radiomicsp = 0.0054 (pCT) and p = 0.00099 (CBCT-FX1)
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Radiogenomics – Virtual Biopsy
Wu et al., Front Oncol 2016
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Distributed Radiomics
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Rapid Learning Health Care
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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
1 2 3 4 50
20406080
100120140160
Pubmed RadiomicsRadiomics
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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 and Women’s Hospital, Harvard Medical
School, Boston– Hugo Aerts, Emmanuel Rios Velazquez, …
• Radboud University Medical Center, Nijmegen, The Netherlands• VU University Medical Center, Amsterdam, The Netherlands
More info on: www.radiomics.org
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Thank you for your attention
Andre DekkerDepartment of Radiation Oncology (MAASTRO)GROW - Maastricht University Medical Centre +Maastricht, The Netherlands