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Imaging Biobanks,
report from the
European Society of
Radiology
Emanuele Neri
Diagnostic and Interventional
Radiology
University of Pisa, Italy
VISION
•Modern radiology and nuclear medicine can provide
multiple imaging biomarkers of the same patient, using
quantitative data derived from CT, MRI, PET, SPECT, US,
x-ray, etc. Moreover, beyond radiology, other types of
images can be collected from endoscopy, microscopy,
surgery, etc. also providing measurable personalised
data. All this information should be considered the
phenotypic expression of biobanks and is to be linked to
the genotype.
•Such data should be available to the research
community.
In March 2014 the European Society of Radiology (ESR) established a dedicated working
group (ESR WG on Imaging Biobanks) aimed at monitoring the existing imaging biobanks
in Europe, promoting the federation of imaging biobanks and
communication of their findings in a white paper. The WG provided the following
statements:
(1)Imaging biobanks can be defined as “organised databases of medical images and
associated imaging biomarkers (radiology and beyond) shared among multiple
researchers, and linked to other biorepositories”.
(2)The immediate purpose of imaging biobanks should be to allow the generation of
imaging biomarkers for use in research studies and to support biological validation of
existing and novel imaging biomarkers.
(3)A long-term scope of imaging biobanks should be the creation of a network/federation
of such repositories integrated with the already existing biobanking network.
ESR Survey on Imaging Biobanks -
results
A survey among heads of radiology departments across Europe was
conducted in December 2014 identified 27 imaging biobanks in Europe:
Purpose of the biobank Number
(percentage)
Research 14 (82.4)
Clinical reference 12 (70.6)
e-learning 9 (52.9)
Other:
Quality management
1 (5.9)
 
Types of cases available
 
Oncologic 13 (76.5)
Cardiovascular 8 (47.1)
Healthy volunteers 7 (41.2)
Rare diseases 6 (35.3)
Other:
Dementia, MCI, Alzheimers disease
metabolic diseases etc.
neuroradiology, neurology, trauma
Paediatric normal CNS anatomy / lung cancer
6 (35.3)
 
Number of cases available
 
Less than 300 5 (29.4)
300-500 3 (17.6)
500-1000 3 (17.6)
1000-2000 1 (5.9)
More than 2000 5 (29.4)
Kind of imaging data available
Computed Tomography 14 (82.4)
Magnetic Resonance 15 (88.2)
Hybrid Imaging 5 (29.4)
Ultrasound 9 (52.9)
Other:
X-ray
X-ray
not in all cases
mammography
SPECT
5 (29.4)
 Availability of follow-up image exams  
Not available 5 (29.4)
Available 12 (70.6)
 
Availability of publications based in the image biobank
 
Not available 12 (70.6)
Available 5 (29.4)
Accessibility to the biobank
 
Fully open on the internet 1 (6.3)
Open to any registered user (free registration) 2 (12.5)
Restricted to users involved in predefined projects 5 (31.3)
Restricted to the personnel of the local department/hospital 8 (50.0)
 
Imaging data supported
 
Strictly limited to acquired images 5 (31.3)
Also contains processed images (segmentation, registration, etc) 8 (50.0)
Also contains imaging biomarkers 3 (18.8)
 
Image formats
 
Strictly limited to DICOM 13 (81.3)
DICOM and other common formats used in research (such as NIFTI,
Analyze)
1 (6.3)
Also contains imaging biomarkers 2 (12.5)
Imaging Biobanks and Biobanks
Which is the link?
Anatomic Imaging Functional Imaging
Molecular Imaging
Imaging
Biomarkers
Medical Images have already
quantifiable features
But quantification is actually used
only when strictly necessary
Medical Images have already
quantifiable features
Drawbacks of a full image
quantification
• Time consuming
• Non cost-effective
• Large variability between
measurements (equipment, acquisition
parameters, readers, etc)
• Lack of biomarkers standardization
• Lack of biomarkers validation on a large
scale
18.05 cc 5.99 cc
Pre-treatment Post-treatment
Oncologic biomarker:
rectal cancer volume (MRI) before and
after radio and chemotherapy
Oncologic biomarker:
rectal cancer volume (MRI) before and
after radio and chemotherapy
TRG 4 correlates with a tumor
volume reduction >80%
29mm 24,7mm27,8mm 23,6mm
1 month after-SIRTpre
Selective Internal Radiation Therapy
Of Colorectal cancer mets
1 month after SIRTpre
Volumetric measurement of
response to therapy
60% volume reduction
Volumetric growth rate analysis of lung nodules
22% volume growth
Diffusion weighted imaging in Prostate Cancer
Tumor
Low ADC
Normal
Measurement of the Apparent Diffusion Coefficient
Osteoid Osteoma
Expression of tumor neoangiogenesis
Imaging evolution
From visualization to quantification
Extraction of quantifiable features
from medical images
•Volume (vital vs non-vital tumor
tissue)
•Contrast enhancement (tumor neo-
angiogenesis)
•Diffusion wighted Imaging (tumor
cellularity)
•MR spectroscopy (metabolite
composition)
•PET (metabolic activity)
Prof. Gert-Jan van Ommen (NL)
radiomics
“Radiomics” refers to the
extraction and analysis of large
amounts of advanced
quantitative imaging features
with high throughput from
medical images.
Radiomics
Radiomics should be
considered part of the
phenotypic
expression of the
genotype

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Imaging biobanks, report from the european society of radiology

  • 1. Imaging Biobanks, report from the European Society of Radiology Emanuele Neri Diagnostic and Interventional Radiology University of Pisa, Italy
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  • 9. VISION •Modern radiology and nuclear medicine can provide multiple imaging biomarkers of the same patient, using quantitative data derived from CT, MRI, PET, SPECT, US, x-ray, etc. Moreover, beyond radiology, other types of images can be collected from endoscopy, microscopy, surgery, etc. also providing measurable personalised data. All this information should be considered the phenotypic expression of biobanks and is to be linked to the genotype. •Such data should be available to the research community.
  • 10. In March 2014 the European Society of Radiology (ESR) established a dedicated working group (ESR WG on Imaging Biobanks) aimed at monitoring the existing imaging biobanks in Europe, promoting the federation of imaging biobanks and communication of their findings in a white paper. The WG provided the following statements: (1)Imaging biobanks can be defined as “organised databases of medical images and associated imaging biomarkers (radiology and beyond) shared among multiple researchers, and linked to other biorepositories”. (2)The immediate purpose of imaging biobanks should be to allow the generation of imaging biomarkers for use in research studies and to support biological validation of existing and novel imaging biomarkers. (3)A long-term scope of imaging biobanks should be the creation of a network/federation of such repositories integrated with the already existing biobanking network.
  • 11. ESR Survey on Imaging Biobanks - results A survey among heads of radiology departments across Europe was conducted in December 2014 identified 27 imaging biobanks in Europe: Purpose of the biobank Number (percentage) Research 14 (82.4) Clinical reference 12 (70.6) e-learning 9 (52.9) Other: Quality management 1 (5.9)   Types of cases available   Oncologic 13 (76.5) Cardiovascular 8 (47.1) Healthy volunteers 7 (41.2) Rare diseases 6 (35.3) Other: Dementia, MCI, Alzheimers disease metabolic diseases etc. neuroradiology, neurology, trauma Paediatric normal CNS anatomy / lung cancer 6 (35.3)
  • 12.   Number of cases available   Less than 300 5 (29.4) 300-500 3 (17.6) 500-1000 3 (17.6) 1000-2000 1 (5.9) More than 2000 5 (29.4) Kind of imaging data available Computed Tomography 14 (82.4) Magnetic Resonance 15 (88.2) Hybrid Imaging 5 (29.4) Ultrasound 9 (52.9) Other: X-ray X-ray not in all cases mammography SPECT 5 (29.4)  Availability of follow-up image exams   Not available 5 (29.4) Available 12 (70.6)   Availability of publications based in the image biobank   Not available 12 (70.6) Available 5 (29.4)
  • 13. Accessibility to the biobank   Fully open on the internet 1 (6.3) Open to any registered user (free registration) 2 (12.5) Restricted to users involved in predefined projects 5 (31.3) Restricted to the personnel of the local department/hospital 8 (50.0)   Imaging data supported   Strictly limited to acquired images 5 (31.3) Also contains processed images (segmentation, registration, etc) 8 (50.0) Also contains imaging biomarkers 3 (18.8)   Image formats   Strictly limited to DICOM 13 (81.3) DICOM and other common formats used in research (such as NIFTI, Analyze) 1 (6.3) Also contains imaging biomarkers 2 (12.5)
  • 14. Imaging Biobanks and Biobanks Which is the link?
  • 15. Anatomic Imaging Functional Imaging Molecular Imaging Imaging Biomarkers
  • 16. Medical Images have already quantifiable features
  • 17. But quantification is actually used only when strictly necessary Medical Images have already quantifiable features
  • 18. Drawbacks of a full image quantification • Time consuming • Non cost-effective • Large variability between measurements (equipment, acquisition parameters, readers, etc) • Lack of biomarkers standardization • Lack of biomarkers validation on a large scale
  • 19. 18.05 cc 5.99 cc Pre-treatment Post-treatment Oncologic biomarker: rectal cancer volume (MRI) before and after radio and chemotherapy
  • 20. Oncologic biomarker: rectal cancer volume (MRI) before and after radio and chemotherapy TRG 4 correlates with a tumor volume reduction >80%
  • 21. 29mm 24,7mm27,8mm 23,6mm 1 month after-SIRTpre Selective Internal Radiation Therapy Of Colorectal cancer mets
  • 22. 1 month after SIRTpre Volumetric measurement of response to therapy 60% volume reduction
  • 23. Volumetric growth rate analysis of lung nodules 22% volume growth
  • 24. Diffusion weighted imaging in Prostate Cancer Tumor Low ADC Normal Measurement of the Apparent Diffusion Coefficient
  • 25. Osteoid Osteoma Expression of tumor neoangiogenesis
  • 27. Extraction of quantifiable features from medical images •Volume (vital vs non-vital tumor tissue) •Contrast enhancement (tumor neo- angiogenesis) •Diffusion wighted Imaging (tumor cellularity) •MR spectroscopy (metabolite composition) •PET (metabolic activity)
  • 28. Prof. Gert-Jan van Ommen (NL) radiomics
  • 29. “Radiomics” refers to the extraction and analysis of large amounts of advanced quantitative imaging features with high throughput from medical images. Radiomics
  • 30. Radiomics should be considered part of the phenotypic expression of the genotype

Notas del editor

  1. Dopo aver effettuato una valutazione morfo-dimensionale delle lesioni prima e dopo il trattamento chemio-radioterapico sulle varie sequenze acquisite…