title: An analysis of the potential impact of computed tomographic colonography (virtual colonoscopy) on colonoscopy demand.
abstract: OBJECTIVE
  There has been much speculation about the potential impact on the use of conventional colonoscopy if "virtual" computed tomographic colonography (CTC) became a widely accepted modality for colorectal cancer (CRC) screening. However, no formal analysis of the impact of CTC on colonoscopy demand has been reported.
  
  
  METHODS
  A mathematical model to predict colonoscopy demand based on several relevant input parameters was constructed. Current national colonoscopy practice, estimated using various published reports, was used as the foundation to project colonoscopy demand if CTC were implemented as the primary CRC screening modality.
  
  
  RESULTS
  In the base-case analysis, if CTC were used as the primary modality for CRC screening, 1.78 million colonoscopies could be eliminated from the total 6.47 million in 2003. Depending on the polyp size threshold used to define a CTC study as positive (6 or 10 mm), this loss would be partially offset by 1.21 million (6 mm) or .34 million (10 mm) follow-up colonoscopies for CTC examinations with positive findings, resulting in a net loss of .57 million (8.8% decrease) (6 mm) or 1.44 million (22.3% decrease) (10 mm). Extensive sensitivity analyses showed that the findings of this model were robust and insensitive to most parameters tested but were sensitive to a few parameters, including the percentage of CTC examinations with positive findings.
  
  
  CONCLUSIONS
  Wide-scale implementation of CTC for CRC screening would likely lead to a decrease in use of conventional colonoscopy. The percentage of CTC studies with positive findings seemed to be a pivotal variable, which would be determined in large part by the polyp size ultimately established to define a positive finding.
authors.affiliation: Gastrointestinal Unit, Harvard Medicasl School, Boston, MA, USA. chur@mgh-ita.org
authors.forename: Chin
authors.initials: C
authors.lastname: Hur
authors.forename: G Scott
authors.initials: GS
authors.lastname: Gazelle
authors.forename: Michael E
authors.initials: ME
authors.lastname: Zalis
authors.forename: Daniel K
authors.initials: DK
authors.lastname: Podolsky
mesh_terms: D023881:Colonography, Computed Tomographic / Q000379:methods* / Q000401:mortality / Q000706:statistics & numerical data; D003113:Colonoscopy / Q000379:methods* / Q000706:statistics & numerical data; D006801:Humans; D008962:Models, Theoretical; D010349:Patient Compliance; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014481:United States