Tags

Type your tag names separated by a space and hit enter

Computed tomographic virtual colonoscopy computer-aided polyp detection in a screening population.
Gastroenterology. 2005 Dec; 129(6):1832-44.G

Abstract

BACKGROUND & AIMS

The sensitivity of computed tomographic (CT) virtual colonoscopy (CT colonography) for detecting polyps varies widely in recently reported large clinical trials. Our objective was to determine whether a computer program is as sensitive as optical colonoscopy for the detection of adenomatous colonic polyps on CT virtual colonoscopy.

METHODS

The data set was a cohort of 1186 screening patients at 3 medical centers. All patients underwent same-day virtual and optical colonoscopy. Our enhanced gold standard combined segmental unblinded optical colonoscopy and retrospective identification of precise polyp locations. The data were randomized into separate training (n = 394) and test (n = 792) sets for analysis by a computer-aided polyp detection (CAD) program.

RESULTS

For the test set, per-polyp and per-patient sensitivities for CAD were both 89.3% (25/28; 95% confidence interval, 71.8%-97.7%) for detecting retrospectively identifiable adenomatous polyps at least 1 cm in size. The false-positive rate was 2.1 (95% confidence interval, 2.0-2.2) false polyps per patient. Both carcinomas were detected by CAD at a false-positive rate of 0.7 per patient; only 1 of 2 was detected by optical colonoscopy before segmental unblinding. At both 8-mm and 10-mm adenoma size thresholds, the per-patient sensitivities of CAD were not significantly different from those of optical colonoscopy before segmental unblinding.

CONCLUSIONS

The per-patient sensitivity of CT virtual colonoscopy CAD in an asymptomatic screening population is comparable to that of optical colonoscopy for adenomas > or = 8 mm and is generalizable to new CT virtual colonoscopy data.

Authors+Show Affiliations

Diagnostic Radiology Department, Warren Grant Magnuson Clinical Center, National Institutes of Health, Bethesda, Maryland 20892-1182, USA. rms@nih.govNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Comment
Journal Article
Research Support, N.I.H., Intramural

Language

eng

PubMed ID

16344052

Citation

Summers, Ronald M., et al. "Computed Tomographic Virtual Colonoscopy Computer-aided Polyp Detection in a Screening Population." Gastroenterology, vol. 129, no. 6, 2005, pp. 1832-44.
Summers RM, Yao J, Pickhardt PJ, et al. Computed tomographic virtual colonoscopy computer-aided polyp detection in a screening population. Gastroenterology. 2005;129(6):1832-44.
Summers, R. M., Yao, J., Pickhardt, P. J., Franaszek, M., Bitter, I., Brickman, D., Krishna, V., & Choi, J. R. (2005). Computed tomographic virtual colonoscopy computer-aided polyp detection in a screening population. Gastroenterology, 129(6), 1832-44.
Summers RM, et al. Computed Tomographic Virtual Colonoscopy Computer-aided Polyp Detection in a Screening Population. Gastroenterology. 2005;129(6):1832-44. PubMed PMID: 16344052.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Computed tomographic virtual colonoscopy computer-aided polyp detection in a screening population. AU - Summers,Ronald M, AU - Yao,Jianhua, AU - Pickhardt,Perry J, AU - Franaszek,Marek, AU - Bitter,Ingmar, AU - Brickman,Daniel, AU - Krishna,Vamsi, AU - Choi,J Richard, PY - 2005/06/15/received PY - 2005/08/17/accepted PY - 2005/12/14/pubmed PY - 2006/2/4/medline PY - 2005/12/14/entrez SP - 1832 EP - 44 JF - Gastroenterology JO - Gastroenterology VL - 129 IS - 6 N2 - BACKGROUND & AIMS: The sensitivity of computed tomographic (CT) virtual colonoscopy (CT colonography) for detecting polyps varies widely in recently reported large clinical trials. Our objective was to determine whether a computer program is as sensitive as optical colonoscopy for the detection of adenomatous colonic polyps on CT virtual colonoscopy. METHODS: The data set was a cohort of 1186 screening patients at 3 medical centers. All patients underwent same-day virtual and optical colonoscopy. Our enhanced gold standard combined segmental unblinded optical colonoscopy and retrospective identification of precise polyp locations. The data were randomized into separate training (n = 394) and test (n = 792) sets for analysis by a computer-aided polyp detection (CAD) program. RESULTS: For the test set, per-polyp and per-patient sensitivities for CAD were both 89.3% (25/28; 95% confidence interval, 71.8%-97.7%) for detecting retrospectively identifiable adenomatous polyps at least 1 cm in size. The false-positive rate was 2.1 (95% confidence interval, 2.0-2.2) false polyps per patient. Both carcinomas were detected by CAD at a false-positive rate of 0.7 per patient; only 1 of 2 was detected by optical colonoscopy before segmental unblinding. At both 8-mm and 10-mm adenoma size thresholds, the per-patient sensitivities of CAD were not significantly different from those of optical colonoscopy before segmental unblinding. CONCLUSIONS: The per-patient sensitivity of CT virtual colonoscopy CAD in an asymptomatic screening population is comparable to that of optical colonoscopy for adenomas > or = 8 mm and is generalizable to new CT virtual colonoscopy data. SN - 0016-5085 UR - https://www.unboundmedicine.com/medline/citation/16344052/Computed_tomographic_virtual_colonoscopy_computer_aided_polyp_detection_in_a_screening_population_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0016-5085(05)01772-5 DB - PRIME DP - Unbound Medicine ER -