[…] Participants:Ā Male and female outpatients, aged 50 years or older, scheduledĀ for screening colonoscopy, who have not had a colonoscopy in the past five years. Study Design Summary:Ā The study addresses aspects of central importance to the clinical application of CTC in several interrelated but independent parts that will be conducted in parallel. In Part I, the clinical performance of the CTC examination will be prospectively compared in a blinded fashion to colonoscopy. In Part II, optimization of the CT technique will be performed in view of new technological advances in CT technology. In Part III, lesion detection will beĀ optimized by studying the morphologic features of critical lesion types and inĀ the development of a database for computer-assisted diagnosis. In Part IV,Ā patient preferences and cost-effectiveness implications of observed performanceĀ outcomes will be evaluated using a predictive model. Data Access Detailed Description Citations & Data Usage Policy Versions Data Access Data Type Download all or Query/Filter License Images (DICOM, 462.6GB) DownloadĀ SearchĀ (Download requires the NBIA Data Retriever ) CC BY 3.0 DICOM Metadata Digest (CSV, 567 kB) DownloadĀ CC BY 3.0 Polyp Descriptions – Large 10mm (XLS, 25 kB) DownloadĀ CC BY 3.0 Polyp Descriptions – 6 to 9mm (XLS, 59 kB) DownloadĀ CC BY 3.0 Polyp Descriptions – No polyp found (XLS, 52 kB) DownloadĀ CC BY 3.0 Click the Versions tab for more info about data releases. Additional Resources for this Dataset The NCI Cancer Research Data Commons (CRDC) provides access to additional data and a cloud-based data science infrastructure that connects data sets with analytics tools to allow users to share, integrate, analyze, and visualize cancer research data. Imaging Data Commons (IDC) (Imaging Data) Third Party Analyses of this Dataset TCIA encourages the community to publish your analyses of our datasets. Below is a list of such third party analyses published using this Collection: Image Data Used in the Simulations of “The Role of Image Compression Standards in Medical Imaging: Current Status and Future Trends” Detailed Description Collection Statistics Modalities CT Number of Participants 825 Number of Studies 836 Number of Series 3,451 Number of Images 941,771 Image Size (GB) 462.6 There are presently 825 cases in this collection with XLS sheets that provide polyp descriptions and their location within the colon segments.Ā To link the XLS polyp tables with the DICOM image studies in TCIA you should understand that some cases in the TCIA are identified by long numbers with the last 4 digits after the last decimal point (e.g.: NCIA study number “1.3.6.1.4.1.9328.50.4.0040” referred to as case “40”). In addition there are a fewer number of additional positive cases that begin their identification number with ‘CTC’ (e.g.: CTC-5401799343) Three related XLS spreadsheets are in this release.Ā TCIA CTC large 10 mm polyps.xlsĀ – Contains the case numbers for 35 cases (out of the 825 total TCIA cases) where at least one 10mm or larger size polyp was found.Ā Individual cases may have several (up to 20) polyps of different sizes listed on a particular XLS row as “LESION 1.x, 2.x,3.x etc. ā see “feature key” below). TCIA CTC 6 to 9 mm polyps.xlsĀ – Contains 69 cases with smaller size polyps. TCIA CTC no polyp found.xlsĀ – Contains 243 cases that were recorded as free of polyps by both CTC and optical techniques. Thus in this CT Colonography collection you will be able to download the prone and supine DICOM images from OC same-day validated 243 negative cases, 69 cases with 6 to 9 mm polyps, and 35 cases which have at least one > 10 mm polyp and their […]
