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

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

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.

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.

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