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Summary

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In 2004 when presenting the ACRIN proposal to conduct the CTC trial to the NCI Executive Committee, a case was made that image data sharing, publicly accessible through an as yet to be developed NCI Image Archive (NCIA) would be a valuable research asset to a wide 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 a more complete protocol description (

http://www.acrin.org/TabID/151/Default.aspx

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).

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ACRIN

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has

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graciously

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allowed

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the

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wider

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research

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community

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access

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to

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a

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portion

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of

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the

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data

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from

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that

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trial.

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Thus

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NCIA

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offers

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a

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limited

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set

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(827)

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of

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DICOM

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image

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cases

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for

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download,

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de-identified

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of

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private

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health

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information,

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with

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spreadsheets

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identifying

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positive

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and

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negative

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polyp

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cases.

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The

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collection

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is

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offered

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to

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provide

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the

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broad

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research

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community

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an

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ability

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to

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develop

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CAD

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algorithms

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for

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polyp

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detection.

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CTC

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strengthened

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by

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competitive

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CAD

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methods

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stands

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to

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offer

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an

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efficient

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public

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health

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tool

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for

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reducing

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the

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incidence

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of

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colon

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cancer.

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The

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present

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"CT

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Colonography"

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(CTC)

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image

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collection,

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publicly

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downloadable

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in

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DICOM

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format

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at

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https://imaging.nci.nih.gov/ncia/

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  contains

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827

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cases

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from

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the

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well

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conducted,

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optical

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colonoscopy

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(OC)

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validated,

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ACRIN

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clinical

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trial

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whose

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subjects

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underwent

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same-day

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sequential

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CTC

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followed

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by

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OC.

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The

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attached

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documents

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in

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this

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Wiki

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offer

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separate

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lists

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of

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those

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OC

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verified

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cases

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that

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contain:

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NCIA CTC no polyp found.xls

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;

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69

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cases

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possessing

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6

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to

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9

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mm

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polyps

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;

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and

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35

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cases

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that

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possess

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at

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least

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one

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polyp

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"larger

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than

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10

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mm."

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Notably,

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this

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collection,

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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/ 

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has

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now

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been

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enlarged

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to

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a

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total

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of

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827

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cases

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acquired

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from

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the

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optical

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l

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y

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(OC)-validated

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ACRIN

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CTC

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trial

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in

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which

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subjects

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underwent

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same-day

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CTC

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and

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OC.

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 A

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description

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of

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the

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collection

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can

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be

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found

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at:

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

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doc 

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

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

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tiff 

Three polyp-size-grouped

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case

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lists

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can

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be

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found

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a

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s

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:

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'No polyp found' (243 cases);

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

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xls 

6 to 9 mm polyps (69 cases);

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

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xls 

and "larger

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than

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10

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mm"

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(35

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cases)

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

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xls 

This subset of the ACRIN 2600+ total trial-accrued

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cases

recapitulates

recapitulates the incidence and polyp size proportions found in the general population.  

As a result of data-sharing by the ACRIN organization, NCI provides this collection to the biomedical research community as a resource that may be used as a training set to improve current day computational methods for colon polyp screening,