Impact of Computer-Aided Detection (CAD) as Second Reader in CT Colonography

NCT ID: NCT01399710

Last Updated: 2011-07-22

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

PHASE3

Total Enrollment

651 participants

Study Classification

INTERVENTIONAL

Study Start Date

2007-07-31

Study Completion Date

2010-03-31

Brief Summary

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RATIONALE: CT colonography accurately detects large polyps and masses. However, the test is less accurate in identifying lesions between 6 and 9 mm.Use of computer-aided detection (CAD) has shown promising results in providing uniform accuracy and improving CT colonography sensitivity.

PURPOSE:This clinical trial compared the performance of CT colonography with unassisted and CAD-assisted reading in detecting patients with colorectal lesions.

Detailed Description

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Design: multicenter, cross-sectional study. Each participant underwent CT colonography and colonoscopy on the same day. Expert readers interpreted CT colonography unassisted and then reviewed all colorectal lesion-like structures pinpointed by the CAD algorithm.

Conditions

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Individuals With Suspected Colorectal Disease

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

DIAGNOSTIC

Blinding Strategy

NONE

Interventions

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CT colonography

Participants were placed on a CT table and a small flexible rectal catheter was positioned. N-butyl-scopolamine was administered intravenously if this was common practice in the participating center. Immediately before scanning, pneumocolon was obtained through insufflation of room air or carbon dioxide, either manually by means of a balloon pump or with an automatic device, until maximum tolerance was reached. CT colonography was performed with the participant in supine and prone positions with the following scanning protocol: 120 kilovolt peak (kVp), 50 or fewer effective mA per second, and a section thickness not greater than 1.25 mm.

Intervention Type PROCEDURE

colonoscopy

Colonoscopy was performed at least 3 hours after CT colonography. The endoscope was advanced to the cecum and the entire length of the bowel was examined during endoscope withdrawal. The endoscopist was initially blinded to the result of CT colonography; at the end of each bowel segment evaluation, CT colonography results for that segment were disclosed (segmental unblinding). If a lesion measuring 6 mm or larger was detected at CT colonography but not at colonoscopy, the segment was reexamined to resolve the discrepancy

Intervention Type PROCEDURE

CT Colonography with computer assisted diagnosis (CAD),CADCOLON -im3D SpA., Torino Italy

Each CT colonography study was read in two phases. In the first phase the radiologist interpreted the examination without activating the CAD algorithm. This phase of reporting was defined as unassisted reading. Then the radiologist activated the CAD algorithm which pinpointed a series of colorectal lesion-like structures (i.e. lesion candidates) on both the prone and supine acquisition. All lesion candidates were examined. The second phase of reporting was defined as CAD-assisted reading.

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

\- clinical indication to undergo colonoscopy either for symptoms, or participating a surveillance program or a CRC screening

Exclusion Criteria

* clinical diagnosis of familial adenomatous polyposis or hereditary nonpolyposis CRC syndrome
* inflammatory bowel disease
* celiac disease
* evidence of increased risk of harm from colonoscopy
* psychological or physical conditions that contraindicated colonoscopy or CT Colonography
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Candiolo Cancer Institute - IRCCS

OTHER

Sponsor Role collaborator

Bicocca Universiy of Milano, Milan, Italy

UNKNOWN

Sponsor Role collaborator

Fondazione Salvatore Maugeri

OTHER

Sponsor Role collaborator

Catholic University, Italy

OTHER

Sponsor Role collaborator

Valduce Hospital

OTHER

Sponsor Role collaborator

University of Turin, Italy

OTHER

Sponsor Role collaborator

University of Roma La Sapienza

OTHER

Sponsor Role collaborator

IRCCS Azienda Ospedaliero-Universitaria di Bologna

OTHER

Sponsor Role collaborator

Nuovo Regina Margherita Hospital

OTHER

Sponsor Role collaborator

University of Pisa

OTHER

Sponsor Role collaborator

University of Florence

OTHER

Sponsor Role collaborator

IRCCS Azienda Ospedaliera Universitaria San Martino - IST Istituto Nazionale per la Ricerca sul Cancro, Genoa, Italy

OTHER

Sponsor Role collaborator

im3D S.p.A.

OTHER

Sponsor Role lead

Responsible Party

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Institute of Cancer Research and Treatment, Candiolo - Italy

Principal Investigators

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Daniele Regge

Role: PRINCIPAL_INVESTIGATOR

Institute Institute for Cancer Research and Treatment, Candiolo, Italy

References

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Regge D, Della Monica P, Galatola G, Laudi C, Zambon A, Correale L, Asnaghi R, Barbaro B, Borghi C, Campanella D, Cassinis MC, Ferrari R, Ferraris A, Hassan C, Golfieri R, Iafrate F, Iussich G, Laghi A, Massara R, Neri E, Sali L, Venturini S, Gandini G. Efficacy of computer-aided detection as a second reader for 6-9-mm lesions at CT colonography: multicenter prospective trial. Radiology. 2013 Jan;266(1):168-76. doi: 10.1148/radiol.12120376. Epub 2012 Nov 14.

Reference Type DERIVED
PMID: 23151831 (View on PubMed)

Other Identifiers

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CAD COLON 001

Identifier Type: -

Identifier Source: org_study_id

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