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Summary

The Reference Image Database to Evaluate Therapy Response (RIDER) is a targeted data collection used to generate an initial consensus on how to harmonize data collection and analysis for quantitative imaging methods 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 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):

All the image data are DICOM compliant. The data collection has two phases as described below, which have resulted in several distinct image Collections.

RIDER Contracts (2007-Beyond)

The National Cancer Institute (NCI) has exercised a series of contracts with specific academic sites for collection of repeat "coffee break," longitudinal phantom, and patient data for a range of imaging modalities (currently computed tomography [CT] positron emission tomography [PET] CT, dynamic contrast-enhanced magnetic resonance imaging [DCE MRI], diffusion-weighted [DW] MRI) and organ sites (currently lung, breast, and neuro). The goals are as follows:

  1. Develop a consensus on requirements for quantity assurance methods on longitudinal studies using phantom data as applied to each modality above.
  2. Develop a consensus on the stability of imaging platforms using repeat and longitudinal phantom measurements over the time period that therapy would be exercised.
  3. Develop a consensus on methods to measure the minimum change that can be measured using repeat and longitudinal patient or volunteer studies.
  4. Provide access to results of measurements performed on these databases by each academic site to encourage a comparison on methodologies.
  5. Provide consensus-based juried publications to encourage a broad acceptance of the methods described above.
  6. Provide a resource for NCI research networks that address quantitative imaging such as the Quantitative Imaging Network (QIN):   http://grants.nih.gov/grants/guide/pa-files/PAR-11.150.html.


The databases are being provided within an 18-month time frame from the time the contract was initiated, and the results are published within less than 2 years. The methods for data collection, analysis, and results are described in the new Combined RIDER White Paper Report (Sept 2008):


The RIDER project will be replaced when the QIN initiative is fully implemented. This research network will create database resources collected from phase 1-3 clinical trials, where clinical outcomes will be included in the metadata: http://grants.nih.gov/grants/guide/pa-files/PAR-11-150.html.

ACADEMIC SITE COLLECTIONS: Focus on Methods for Data Analysis

RIDER Lung CT: MSKCC

Lung CT Statistics

Updated 11/14/2013

Modalities

CT

Number of Patients

32

Number of Studies

46

Number of Series

63

Number of Images

15,419

Images Size (GB)7.55

RIDER Phantom PET-CT: UNIVERSITY OF WASHINGTON

  • Repeat measurements: PET/CT phantoms.
  • Consists of repeat measurement PET/CT phantom scan collections carried out under the aegis of the Society of Nuclear Medicine (SNM) to discern the uniformity of clinical imaging instrumentation at various sites. They were obtained in cooperation with SNM as a resource for increased quantitative understanding of machine acquisition, analytic reproducibility and image processing.
  • 2015-01-26 Update: Additional annotation data about this collection can be viewed in the following document: Ge68Phantom_2015.doc.

Phantom PET-CT Collection Statistics

 

Modalities

CT, PT

Number of Patients

20

Number of Studies

20

Number of Series

60

Number of Images

2,231

Images Size (MB)689

RIDER Lung PET-CT: UNIVERSITY OF WASHINGTON

  • Longitudinal PET/CT human studies: Lung.
  • 2012-02-22 Update: It was brought to our attention that RIDER-1817358092 and RIDER-2617411955 appeared to be the same patient.  We have gone back to University of Washington and confirmed this is to be true.  For now, we will leave both patients in place but plan to eventually delete RIDER-1817358092.  RIDER-2617411955 contains some additional series not found in the other patient ID and is what we would advise users to utilize in their research.

Lung PET CT Statistics

Updated 11/14/2013

Modalities

CT, PT

Number of Patients

244

Number of Studies

275

Number of Series

1349

Number of Images

269,511

Images Size (GB)78.7

RIDER NEURO MRI: DUKE UNIVERSITY

  • Repeat human subject studies: Neuro,
  • Dynamic Contract Enhanced studies: DCE MRI.
  • Diffusion weighted imaging: DWI MR.
  • Diffusion tensor imaging: diffusion tensor (DT) MRI.

Neuro MRI Statistics

 

Modalities

MR

Number of Patients

19

Number of Studies

108

Number of Series

368

Number of Images

70,220

Images Size (GB)7.3

RIDER Breast MRI: UNIVERSITY OF MICHIGAN

  • 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 nulls 97.5 percentile for subsequent estimation of early response to neoadjuvant chemotherapy on an individual patient basis.

Breast MRI Statistics

Updated 2011/11/08

Modalities

MR

Number of Patients

5

Number of Studies

10

Number of Series

40

Number of Images

1500

RIDER PHANTOM MRI: MDACC

Phantom MRI Statistics

 

Modalities

MR

Number of Patients

10

Number of Studies

13

Number of Series

45

Number of Images

7,061

Images Size (GB)3.4

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

SOCIETY DATA COLLECTIONS

RSNA QIBA AND NCI (RIDER and IRAT)

OTHER FEDERAL AGENCIES

FDA CDRH: Partly funded by NCI and NIBIB

NIST

RIDER Pilot (2005-2007)

This data collection was originally supported under supplemental funding for the Lung Image Database Consortium (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 the M.D. Anderson Cancer Center and several of the LIDC academic sites. The data is not annotated and is not hosted in The Cancer Imaging Archive but can be downloaded from the NBIA.

Pilot Statistics

 

Modalities

CT, DX

Number of Patients

322

Number of Studies

1,779

Number of Series

4,930

Number of Images

384,535

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