Abstract
Background
Optical polyp diagnosis can be used for real-time pathology prediction of colorectal polyps ≤10 mm. However, the risk of misdiagnosing a polyp with advanced pathology potentially increases with increasing polyp size.
Aims
This study aimed to evaluate different size cut-offs for using optical polyp diagnosis and the associated risk of patients undergoing inadequate follow-up or surveillance.
Methods
In a post-hoc analysis of two prospective studies, the performance of optical diagnosis was evaluated in three polyp size groups: 1–3 mm, 1–5 mm, and 1–10 mm. The primary outcome was the proportion of patients with advanced adenomas and delayed or inappropriate surveillance. Secondary outcomes included percentage of polyps with advanced pathology, agreement between surveillance intervals based on high-confidence optical diagnosis and pathology outcomes, reduction in histopathological examinations, and proportion of patients who could receive an immediate surveillance interval recommendation.
Results
We included 1525 patients with complete colonoscopies (mean age 62.9 years, 50.2% male). The percentage of patients with advanced adenomas and delayed or inappropriate surveillance was 0.7%, 1.7%, and 1.8% when using optical diagnosis for patients with polyps of 1–3, 1–5, and 1–10 mm, respectively. The percentage of polyps with advanced pathology was 0.5%, 1.4%, and 1.9%, respectively. Surveillance interval agreement between pathology and optical diagnosis was 99%, 98%, and 97.8%, respectively. Total reduction in pathology examinations was 33.9%, 53.5%, and 69.0%, respectively.
Conclusions
A 3-mm cut-off for clinical implementation of optical polyp diagnosis yielded high surveillance interval agreement with pathology and a high reduction in pathology examinations while minimizing the risk of inappropriate management for polyps with advanced pathology.
Funding Agencies
None
Optical diagnosis and characterization of dental caries with polarization-resolved hyperspectral stimulated Raman scattering microscopy
