Accuracy of CT Colonography for Detection of Large Adenomas and Cancers

By C. Johnson, Mei‐Hsiu Chen, Alicia Y. Toledano, Jay P. Heiken, A. Dachman, Mark D. Kuo, C. Menias, B. Siewert, J. Cheema, Richard G. Obregon and 12 more. New England Journal of Medicine, 2008

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Background CT Colonography (CTC) is a non-invasive option for colorectal cancer (CRC) screening. The accuracy of CTC as a screening tool among asymptomatic adults has not been well defined. Methods The National CT Colonography Trial recruited 2600 asymptomatic participants, age ≥ 50 years, at 15 study centers. CTC images were acquired using standard bowel preparation, stool/fluid tagging, mechanical insufflation, ≥16 row CT scanners. Trained CTC radiologists reported all lesions ≥ 5 mm in diameter. Colonoscopy was performed according to established clinical protocols at each center and served as the reference standard. Detection by CTC of patients with large (≥10 mm), histologically-confirmed adenomas and adenocarcinomas which were detected by colonoscopy was the primary endpoint; detection of smaller (6–9 mm) colorectal lesions was also evaluated. Results Complete data were available for 2531 (97%) participants. For large adenomas and cancers the per patient estimates for sensitivity, specificity, positive and negative predictive values and area under the receiver operating characteristic curve were 0.90 ±0.03, 0.86 ± 0.02, 0.23 ± 0.02, 0.99 ±<0.01 and 0.89 ± 0.02, respectively. The sensitivity of 90% indicates that CTC failed to detect a lesion ≥10mm in 10% of patients. Per-polyp sensitivity for large adenomas or cancers was 0.84 ± 0.04. Per-patient sensitivity estimates in detecting patients with adenomas ≥ 6 mm, was 0.78. Conclusions In this study of asymptomatic adults, CTC screening identified 90% of patients with adenomas and cancers ≥ 10 mm in diameter. These findings augment published data regarding the role of CTC in average-risk CRC screening.

Subfields: Epidemiology, Oncology

View Paper: https://www.semanticscholar.org/paper/fea00b8739782b9f49dc70929ae738968624194e

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