Summary

On

Summary

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 NCI Image Archive (NCIA) 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 NCIA 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: NCIA CTC 243 Cases where no polyp was found.xls; 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.

Accrual Details

Submission Software - Field Center & Clinical Trial Processor (CTP)
De-identification Schema - *insert da.script*
Collection Security - Publicly available to all registered users
Collection status - Complete (827 cases)
Modality types - CT
Contact Sites - ACRIN

Public Notification

I sent out this announcement to the 609 NCIA regiestered users who had downloaded from the earlier smaller size original CTC collection to let them know that additional cases available. There are no plans to add any more cases since the composition of this 827 subset should suffice for use as a CAD training set. I'm still trying to get some colleagues to analyze and publish the x.y.z polyp positions of the positive cases in the collection to make them even more useful to cross-disciplinary researchers.

Carl

The NCI "CT Colonography" (CTC) image collection, downloadable as DICOM studies at https://imaging.nci.nih.gov/ncia/  has now been enlarged to a total of 827 cases acquired from the optically (OC)-validated ACRIN CTC trial in which subjects underwent same-day CTC and OC.  A description of the collection can be found at: 

https://wiki.nci.nih.gov/download/attachments/13502514/NCIA+CTC+collection+explained.doc 

A key to the OC validation tables can be found at:

https://wiki.nci.nih.gov/download/attachments/13502514/Polyp+description+key+table.tiff 

Three polyp-size-grouped case lists can be found as:

'No polyp found' (243 cases);

https://wiki.nci.nih.gov/download/attachments/13502514/NCIA+CTC+no+polyp+found.xls 

6 to 9 mm polyps (69 cases);

https://wiki.nci.nih.gov/download/attachments/13502514/NCIA+CTC+6+to+9+mm+polyps.xls 

and "larger than 10 mm" (35 cases)

https://wiki.nci.nih.gov/download/attachments/13502514/NCIA+CTC+large+10+mm+polyps.xls 

This subset of the ACRIN 2600+ total trial-accrued cases

recapitulates

recapitulates the incidence and polyp size proportions 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