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Spots Global Cancer Trial Database for Impact of Computer-Aided Detection (CAD) as Second Reader in CT Colonography

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Trial Identification

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

Official Title: Measure of Performances of CT Colonography With Computer-Aided Detection (CAD) as Second Reader in Detecting Colorectal Lesion

Study ID: NCT01399710

Study Description

Brief Summary: 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: 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.

Eligibility

Minimum Age: 18 Years

Eligible Ages: ADULT, OLDER_ADULT

Sex: ALL

Healthy Volunteers: No

Locations

Contact Details

Name: Daniele Regge

Affiliation: Institute Institute for Cancer Research and Treatment, Candiolo, Italy

Role: PRINCIPAL_INVESTIGATOR

Useful links and downloads for this trial

Clinicaltrials.gov

Google Search Results

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