CRC-SPIN Version 3.0: An Updated Policy Model for Colorectal Cancer Screening That Includes the Serrated Pathway
Carolyn M Rutter; Christopher E Maerzluft; Laura Matrajt; Pedro Nascimento de Lima; Rachel B Issaka; Tracey L Marsh
Abstract
Microsimulation models use empirical evidence about cancer epidemiology and screening test performance to predict the long-term effectiveness of screening regimens and are essential for developing cancer screening guidelines. Colorectal cancer (CRC) arises through two pathways, the adenoma-carcinoma pathway and the serrated pathway. Sessile serrated lesions (SSLs) are the primary serrated precursor lesion. SSLs are more difficult to detect and remove than adenomas.We describe version 3.0 of the Colorectal Cancer Simulated Population model for Incidence and Natural history (CRC-SPIN), which adds new information about the serrated pathway and CRC risk in adults under 50, then estimate the effectiveness of decennial colonoscopy from 45 to 75 years old. The model was calibrated using a Bayesian approach to estimate 95% credible intervals (CIs) that reflect uncertainty in predictions.The model validated well to studies of the effect of one-time screening and outcomes from surveillance colonoscopy. In the absence of screening, SSLs accounted for 10.6% (95% CI: 3.3-21.6) of CRC, increasing to 23.5% (95% CI: 7.7%-46.0%) with screening due to selective removal of adenomas. Screening was predicted to prevent 93.9% (95% CI: 92.0%-94.3%) of CRC and 95.3% (95% CI: 93.8%-96.5%) of CRC mortality.Although SSLs are less common than adenomas, they likely make up a large fraction of CRC that arises in people who participate in screening. This points to the importance of improving the ability to detect SSLs, especially large SSLs, at colonoscopy.
Publication Impact Statistics
Research Streams
Topics
Citation
@article{rutter_crcspin_2026,
title = {{{CRC-SPIN}} Version 3.0: An Updated Policy Model for Colorectal Cancer Screening That Includes the Serrated Pathway},
shorttitle = {{{CRC-SPIN}} Version 3.0},
author = {Rutter, Carolyn M and Maerzluft, Christopher E and Matrajt, Laura and {Nascimento de Lima}, Pedro and Issaka, Rachel B and Marsh, Tracey L},
year = {2026},
month = feb,
journal = {JNCI: Journal of the National Cancer Institute},
pages = {djag037},
issn = {0027-8874},
doi = {10.1093/jnci/djag037},
urldate = {2026-02-20}
}