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Summary

The Reference Image Database to Evaluate Therapy Response (RIDER)

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1. Executive Summary

The RIDER database is a targeted data collection for the purpose of generating an initial consensus on how to harmonize data collection and analysis for quantitative imaging methods as applied to measure the response to drug or radiation therapy. The long term goal is to provide a resource to permit harmonized methods for data collection and analysis across different commercial imaging platforms, as required to support multi-site clinical trials, using imaging as a biomarker for therapy response. Thus the database should permit an objective comparison of methods for data collection and analysis as a national and international resource as described in the first RIDER white paper report (2006):

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All the image data are DICOM compliant and the image, annotations and meta data formats meets all the requirements for caBIG and the NBIA.  The data collection has two phases as described below, which have resulted in several distinct image Collections.

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RIDER

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Pilot (2005-2007)

Download on NBIA by searching Collection name: RIDER Pilot

This data collection was originally supported under supplemental funding for the LIDC U01 project and focused on the collection of longitudinal studies using X-ray CT for monitoring the response to therapy. The data came primarily from MDACC and several of the LIDC academic sites. The data is not annotated. However it contains a sub-set of 30 longitudinal cases that are annotated using the RECIST criteria.

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Pilot Statistics

 

Modalities

CT, DX

Number of Patients

322

Number of Studies

1,779

Number of Series

4,931

Number of Images

384,536

RIDER Contracts: 2007-Beyond

NCI has exercised a series of contracts with specific academic sites for collection of repeat "coffee break" and longitudinal phantom and patient data for a range of imaging modalities (currently CT, PET CT, DCE MRI, DW MRI) and organ sites (currently lung, breast, and neuro). The goals are as follows:

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The RIDER project will be replaced when the QIN initiative is fully implemented as this research network will be tasked to create database resources collected from phase 1-3 clinical trials, where clinical outcomes will be included in the meta data: http://grants.nih.gov/grants/guide/pa-files/PAR-08-225.html

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ACADEMIC SITE COLLECTIONS: Focus on methods for data analysis

MSKCC

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Lung CT Statistics

 

Modalities

CT

Number of Patients

32

Number of Studies

46

Number of Series

64

Number of Images

15,716

UNIVERSITY OF WASHINGTON

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  • Images contained in "Phantom" Collection in NBIA
  • Repeat measurements: PET/CT phantoms

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Collection Statistics

 

Modalities

CT, PT

Number of Patients

20

Number of Studies

20

Number of Series

60

Number of Images

2,231

  • Images contained in "RIDER Lung PET CT" Collection in NBIA
  • Longitudinal PET/CT human studies: Lung

DUKE UNIVERSITY

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Lung PET CT Statistics

 

Modalities

CT, PT

Number of Patients

244

Number of Studies

275

Number of Series

1350

Number of Images

269,523

DUKE UNIVERSITY

  • Images contained in "RIDER Neuro MRI" Collection in NBIA
  • Repeat human subject studies: Neuro
  • Dynamic Contract Enhanced studies: DCE MRI:
  • Diffusion weighted imaging: DWI MR
  • Diffusion tensor imaging: DT MRI.

Neuro MRI Statistics

 

Modalities

MR

Number of Patients

19

Number of Studies

108

Number of Series

368

Number of Images

70,220

UNIVERSITY OF MICHIGAN

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  • Images contained in "RIDER Breast MRI" Collection in NBIA
  • Repeat measurements: Human subjects: Breast
  • DCE MRI
  • ISMRM 2009 poster demonstrates how each of the "coffee break" exams were used as an estimate of each patient's null hypothesis, i.e. distribution associated with no change, and thus supports the estimate of the null's 97.5 percentile for subsequent estimation of early response to neoadjuvant chemotherapy on an individual patient basis.

MDACC

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Breast MRI Statistics

 

Modalities

MR

Number of Patients

5

Number of Studies

10

Number of Series

40

Number of Images

2,400

MDACC

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Phantom MRI Statistics

 

Modalities

MR

Number of Patients

10

Number of Studies

13

Number of Series

45

Number of Images

7,061

ACADEMIC SITE COLLECTIONS: Focus on harmonized methods for data collection

MULTI SITE STUDY (Total of 20 sites): Organized under a contract with the University of Michigan ( Under development: 2009)

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SOCIETY DATA COLLECTIONS

RSNA QIBA AND NCI (RIDER and IRAT) (2009-beyond: under development)

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OTHER FEDERAL AGENCIES

FDA CDRH: Partly funded by NCI and NIBIB

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Breast MRI Statistics

 

Modalities

MR

Number of Patients

5

Number of Studies

10

Number of Series

40

Number of Images

2,400

Lung CT Statistics

 

Modalities

CT

Number of Patients

32

Number of Studies

46

Number of Series

64

Number of Images

15,716

Lung PET CT Statistics

 

Modalities

CT, PT

Number of Patients

244

Number of Studies

275

Number of Series

1350

Number of Images

269,523

Neuro MRI Statistics

 

Modalities

MR

Number of Patients

19

Number of Studies

108

Number of Series

368

Number of Images

70,220

Phantom MRI Statistics

 

Modalities

MR

Number of Patients

10

Number of Studies

13

Number of Series

45

Number of Images

7,061

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Pilot Statistics

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Modalities

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CT, DX

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Number of Patients

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322

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Number of Studies

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1,779

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Number of Series

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4,931

Data Access

You can view and download these images on NBIA. You do not need to log in unless you want access to advanced features in the site. Simply follow these steps:

  • Navigate to http://imaging.nci.nih.gov
  • Click the "Search Images" link in the center of the page
  • Scroll down through the search criteria until you see the "Collections" section
  • Select the check box for whichever RIDER sub-collection you are interested in
  • Press "Submit"

This will return the full list of cases included in the collection. To download the associated DICOM images:

  • Press the "Check All" button and then "Add to Basket"
  • Press the "View My Basket" button at the bottom of the page (or "View Contents" in the left menu bar)
  • Press the "Download Manager" button to open a Java applet and specify where you'd like to save your images

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Number of Images

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