Summary

On

Summary

Download on NBIA by searching Collection name: CT Colonography

In 2004 when presenting the ACRIN proposal to conduct the CTC trial to the NCI Executive Committee, a case was made that publicly accessible image data sharing , publicly accessible through an as yet to be developed National Biomedical Image Archive (NBIA) would be a valuable an invaluable research asset to a wide the image processing research community. Adding to the many merits of that proposal, the data-sharing component was strongly endorsed. ACRIN completed the trial expeditiously and its results were published in NEJM in fall 2008 to wide interest . Please see their NEJM publication for their published results and the ACRIN website itself for (N Engl J Med. 2008 Sep 18;359(12):1207-17). The ACRIN website has a more complete protocol description (http://www.acrin.org/TabID/151/Default.aspx). ACRIN has graciously allowed the permitted a wider research community access to a portion of the data from that trial.Thus NBIA offers a limited set (827) of DICOM image cases for download, de-identified of private health information, with spreadsheets identifying positive and negative polyp cases. The collection is offered to provide the broad research community an ability to develop CAD algorithms for polyp detection. CTC strengthened by competitive CAD methods stands to offer an efficient public health tool for reducing the incidence of colon cancer.

The present "CT Colonography" (CTC) image collection , publicly downloadable in DICOM format at https://imaging.nci.nih.gov/ncia/  contains 827 cases from the well conducted, , PHI de-identified for public download contains 825 cases from optical colonoscopy (OC)-validated , ACRIN clinical trial whose subjects underwent subjects who had same-day sequential CTC followed by OC. The attached documents in this Wiki offer separate lists of those separately lists OC verified cases that contain: 243 Cases where no polyp was found; 69 cases possessing 6 to 9 mm polyps; and 35 cases that possess at least one polyp "larger than 10 mm." Notably, this collection, though  a subset of the ACRIN 2600+ total cases, nonetheless proportionally represents the incidence and prevalence of polyp found in the general population.The key to the lesion coding in those XL files is: CTC key to XL colon lesion spreadsheet.docx

Data Access