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Published on: October 16, 2013
International study group on rectal cancer regression grading: interobserver variability with commonly used
Runjan Chetty1, Pelvender Gill, Dhirendra Govender
1Department of Cellular Pathology, John Radcliffe Hospital and University of Oxford, OX3 9DU Oxford, UK. runjan.chetty@ndcls.ox.ac.uk
Gastrointestinal pathologists showed poor agreement when grading rectal cancer regression after neoadjuvant chemoradiation using current systems. A simpler, standardized grading method is needed for accurate assessment of treatment response.
Area of Science:
- Gastroenterology
- Oncology
- Pathology
Background:
- Rectal cancer treatment often involves neoadjuvant chemoradiation.
- Accurate assessment of treatment response, specifically tumor regression, is crucial for patient management.
- Current regression grading systems lack standardization and reproducibility.
Purpose of the Study:
- To evaluate the inter-observer concordance among gastrointestinal pathologists for rectal cancer regression grading.
- To assess the performance of Mandard, Dworak, and a modified rectal cancer regression grading systems.
- To identify the need for improved regression grading methodologies.
Main Methods:
- Seventeen gastrointestinal pathologists assessed 10 digitized rectal cancer slides from patients treated with neoadjuvant chemoradiation.
- Pathologists utilized the Mandard, Dworak, and a modified rectal cancer regression grading systems.
- Inter-observer concordance was quantified using Kappa (κ) values.
Main Results:
- Very low concordance was observed across all three grading systems (κ values: 0.28-0.38).
- Unanimous agreement was achieved in only one case using the modified system.
- The study highlighted a lack of precision and clarity in existing grading systems.
Conclusions:
- Current regression grading systems for neoadjuvant chemoradiation-treated rectal cancer exhibit poor inter-observer reliability.
- There is a significant need for a simplified, reproducible grading system with clear criteria.
- A composite scoring approach and standardized specimen sampling are recommended for improved accuracy.
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