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Summary

Excerpt

The RIDER Lung CT collection was constructed as part of a study to evaluate the variability of tumor unidimensional, bidimensional, and volumetric measurements on same-day repeat computed tomographic (CT) scans in patients with non–small cell lung cancer.

Thirty-two patients with non–small cell lung cancer, each of whom underwent two CT scans of the chest within 15 minutes by using the same imaging protocol, were included in this study. Three radiologists independently measured the two greatest diameters of each lesion on both scans and, during another session, measured the same tumors on the first scan. In a separate analysis, computer software was applied to assist in the calculation of the two greatest diameters and the volume of each lesion on both scans. Concordance correlation coefficients (CCCs) and Bland-Altman plots were used to assess the agreements between the measurements of the two repeat scans (reproducibility) and between the two repeat readings of the same scan (repeatability).

The reproducibility and repeatability of the three radiologists' measurements were high (all CCCs, ≥0.96). The reproducibility of the computer-aided measurements was even higher (all CCCs, 1.00). The 95% limits of agreements for the computer-aided unidimensional, bidimensional, and volumetric measurements on two repeat scans were (−7.3%, 6.2%), (−17.6%, 19.8%), and (−12.1%, 13.4%), respectively. Chest CT scans are well reproducible. Changes in unidimensional lesion size of 8% or greater exceed the measurement variability of the computer method and can be considered significant when estimating the outcome of therapy in a patient.

About the RIDER project

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.

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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.

About the RIDER Contracts

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 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

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methods

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for data collection, analysis, and results are described in the new Combined RIDER White Paper Report (Sept 2008):

The

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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):

 

Localtab Group
Localtab
activetrue
titleData Access

Data Access

Choosing the Download option will provide you with a file to launch the TCIA Download Manager to download the entire collection. If you want to browse or filter the data to select only specific scans/studies please use the Search By Collection option.

Data TypeDownload all or Query/Filter
Images (DICOM, 7.55GB) 
Lesion Notes (XLS)Image Added

Click the Versions tab for more info about data releases.

Localtab
titleDetailed Description

Detailed Description

Collection Statistics

Updated 11/14/2013

Modalities

CT

Number of Patients

32

Number of Studies

46

Number of Series

63

Number of Images

15,419

Image Size (GB)7.55

 

Focus on Methods for Data Analysis

RIDER Lung CT: MSKCC

Repeat CT Measurements: Human subjects: Lung.
  • Download the related lesion notes: MSKCC RepeatCT Lesion notes for RIDER.xls.
  • Download the related publication: Zhaob-RepeatCT Radiology2009.pdf.
  • 2012-10-18 Update: It was brought to our attention that the RIDER-8509201188 patient contained 2 identical image series rather than the correct secondary/repeat series. The duplicate series has been removed (UID: 1.3.6.1.4.1.9328.50.1.64033480205396366773922006817138551096), but we are unable to obtain the correct series at this point.
    • Localtab
    titleCitations & Data Usage Policy

    Citations & Data Usage Policy 

    This collection is freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License.  See TCIA's Data Usage Policies and Restrictions for additional details. Questions may be directed to help@cancerimagingarchive.net.

    Please be sure to include the following citations in your work if you use this data set:

    Info
    titleRIDER Lung CT Citation

    The Cancer Imaging Archive Team. Data From RIDER Lung CT. DOI coming soon.

    Info
    titleTCIA Citation

    Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. (paper)

    Info
    titlePublication Citation

    Binsheng Zhao, DSc, Leonard P. James, MD, Chaya S. Moskowitz, PhD, Pingzhen Guo, MD, Michelle S. Ginsberg, MD, Robert A. Lefkowitz, MD, Yilin Qin, MS, Gregory J. Riely, MD, Mark G. Kris, MD, and Lawrence H. Schwartz, MD. Evaluating Variability in Tumor Measurements from Same-day Repeat CT Scans of Patients with Non–Small Cell Lung Cancer, Radiology. 2009 Jul; 252(1): 263–272. doi:  10.1148/radiol.2522081593 (paper)

    Other Publications Using This Data

     

    TCIA maintains a list of publications which leverage our data. At this time we are not aware of any additional publications based on this data. If you have a publication you'd like to add please contact the TCIA Helpdesk.

    Localtab
    titleVersions

    Version

    1

    2 (Current): Updated 2014/11/14

    Data TypeDownload all or Query/Filter
    Images (DICOM, 7.55GB) 

    Version 1: Updated 2012/10/18

    It was brought to our attention that the RIDER-8509201188 patient contained 2 identical image series rather than the correct secondary/repeat series. The duplicate series has been removed (UID: 1.3.6.1.4.1.9328.50.1.64033480205396366773922006817138551096), but we are unable to obtain the correct series at this point.