{"id":5675,"date":"2023-09-04T03:17:08","date_gmt":"2023-09-04T03:17:08","guid":{"rendered":"https:\/\/cm.vastapps.dev\/tcia-collection\/rider-lung-pet-ct\/"},"modified":"2023-09-13T12:02:33","modified_gmt":"2023-09-13T12:02:33","slug":"rider-lung-pet-ct","status":"publish","type":"tcia_collection","link":"https:\/\/cm.vastapps.dev\/tcia-collection\/rider-lung-pet-ct\/","title":{"rendered":"RIDER-LUNG-PET-CT"},"featured_media":0,"template":"","citation-tax":[],"cancer_types":["Lung Cancer"],"citations":[4614,2925],"collection_doi":"10.7937\/k9\/tcia.2015.ofip7tvm","collection_download_info":"Click the Versions tab for more info about data releases.","collection_downloads":[5231,5232],"full_export":"
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Summary<\/span><\/h2>

\u00a0The RIDER Lung PET-CT collection was shared to facilitate the RIDER PET\/CT subgroup activities. The PET\/CT subgroup was responsible for: (1) archiving de-identified DICOM serial PET\/CT phantom and lung cancer patient data in a public database to provide a resource for the testing and development of algorithms and imaging tools used for assessing response to therapy, (2) conducting multiple serial imaging studies of a long half-life phantom to assess systemic variance in serial PET\/CT scans that is unrelated to response, and (3) identifying and recommending methods for quantifying sources of variance in PET\/CT imaging with the goal of defining the change in PET measurements that may be unrelated to response to therapy, thus defining the absolute minimum effect size that should be used in the design of clinical trials using PET measurements as end points.<\/p>

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About the RIDER project<\/h3>

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. \u00a0The 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]\u00a0positron emission tomography [PET]\u00a0CT, dynamic contrast-enhanced magnetic resonance imaging [DCE MRI], diffusion-weighted [DW] MRI) and organ sites (currently lung, breast, and neuro). <\/span>The methods for data collection, analysis, and results are described in the new Combined RIDER White Paper Report (Sept 2008):<\/p>