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Spread Through Air Spaces: Interresponder Agreement and Comparison Between Pulmonary and General Pathologists
Michelle Garlin-Politis1, Anjali Saqi1, Mari Mino-Kenudson2
1Department of Pathology and Cell Biology, Columbia University Irving Medical Center, NewYork-Presbyterian Hospital, New York, New York.
Pathologists show limited agreement on diagnosing spread through air spaces (STAS) in lung cancer, highlighting a need for clearer criteria to improve diagnostic reproducibility for this key prognostic indicator.
Area of Science:
- Pulmonary Pathology
- Cancer Diagnosis
- Histopathology
Background:
- Spread Through Air Spaces (STAS) is a crucial prognostic indicator in lung cancer, defined by tumor clusters beyond the main mass.
- Accurate identification of STAS is vital for patient stratification and treatment planning.
- Current criteria for distinguishing STAS from artifacts lack universal consensus.
Purpose of the Study:
- To evaluate interobserver agreement on existing STAS diagnostic criteria versus artifacts.
- To identify specific areas of discrepancy in STAS interpretation.
- To compare diagnostic agreement between pulmonary and general pathologists.
Main Methods:
- An international online questionnaire assessed STAS vs. artifact interpretation.
- The study included members of professional pathology societies and course attendees.
- 136 responses were analyzed, with demographic and practice setting data collected.
Main Results:
- High agreement was observed for clearly defined STAS (≥3 alveolar spaces from tumor) and ciliated cell strips as artifacts.
- Lower agreement occurred with tumor clusters near the edge, single cells at the edge, jagged clusters, or mixed clusters with artifacts.
- No significant difference in agreement was found between pulmonary and general pathologists.
Conclusions:
- Significant interobserver agreement on STAS criteria is limited to a few specific scenarios.
- Areas with lower agreement require further clarification to enhance diagnostic reproducibility.
- Standardizing STAS interpretation is essential for its reliable use as a prognostic marker.
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