Interobserver and Intraobserver Agreement for the Laterally Spreading Tumor Classification in Large (>2 cm)
Roupen Djinbachian1, Jérémie Jacques2, Victoire Michal1
1Division of Gastroenterology, Montreal University Hospital Center (CHUM) and Montreal University Hospital Research Center (CRCHUM), Montreal, Quebec, Canada.
The LST classification for large colorectal tumors shows poor agreement among international experts, indicating a need for better standardization in diagnosis and research. This impacts risk assessment and treatment planning.
Area of Science:
- Gastroenterology
- Endoscopic Imaging
- Oncology
Background:
- Accurate morphological assessment of large colorectal laterally spreading tumors (LSTs) is crucial for predicting invasion risk and guiding resection.
- The widely used LST classification's diagnostic reliability has not been formally evaluated.
Purpose of the Study:
- To evaluate the diagnostic reliability and inter-observer agreement of the LST classification system among expert endoscopists.
- To assess factors influencing agreement, including lesion size, endoscopist characteristics, and classification simplicity.
Main Methods:
- A prospective, multicenter video-based study involving 24 blinded expert endoscopists.
- Independent classification of 46 LSTs twice, using a 5-subtype LST classification and a simplified 3-category model.
- Inter- and intra-observer agreement calculated using Light's kappa, with secondary analyses by lesion size, sex, and region.
Main Results:
- Poor inter-observer agreement was observed for the detailed LST classification (κ=0.37-0.36).
- Agreement varied geographically, with moderate agreement in Europe/Oceania and fair in North America/Asia.
- Simplifying to a 3-category model improved agreement to moderate (κ≈0.48); intra-observer agreement varied widely (κ=0.28-0.94).
Conclusions:
- Significant inter- and intra-observer variability exists for the LST classification among international experts.
- Current detailed LST subclassification shows low diagnostic reliability, necessitating improved standardization.
- Caution is advised when using detailed LST subclassification for clinical decisions or research endpoints.
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