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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
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.
Minimum Age: 18 Years
Eligible Ages: ADULT, OLDER_ADULT
Sex: ALL
Healthy Volunteers: No
Name: Daniele Regge
Affiliation: Institute Institute for Cancer Research and Treatment, Candiolo, Italy
Role: PRINCIPAL_INVESTIGATOR