The International Association for the Study of Lung Cancer Lung Cancer Staging Project: Application and Interpretation of the Residual Tumor Classification for Lung Cancer-Results from an International Survey Among Pathologists and Thoracic Surgeons
- Hans Hoffmann 1, Andrew G Nicholson 2, Frank C Detterbeck 3, Ming S Tsao 4, Marcin Ostrowski 5, Ramón Rami-Porta 6, Alain Borczuk 7, Mirella Marino 8, William D Travis 9, Paul E Van Schil 10, John Edwards 11,
- 1Division of Thoracic Surgery, University Hospital Rechts der Isar, Technical University of Munich, Munich, Germany.
- 2Department of Histopathology, Royal Brompton and Harefield Hospitals, Guy's and St Thomas National Health Service Foundation, Trust and National Heart and Lung Institute, Imperial College, London, United Kingdom.
- 3Department of Surgery, Yale University School of Medicine, New Haven, Connecticut.
- 4Department of Pathobiology, University Health Network (UHN), Princess Margaret Cancer Centre, and Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.
- 5Department of Thoracic Surgery, Medical University of Gdansk, Gdansk, Poland.
- 6Department of Thoracic Surgery, Hospital Universitari Mutua Terrassa, University of Barcelona, Terrassa, Barcelona, Spain; and Network of Centers for Biomedical Research in Respiratory Diseases (CIBERES) Lung Cancer Group, Terrassa, Barcelona, Spain.
- 7Department of Surgical Pathology, Weill Cornell Medicine, New York, New York.
- 8Department of Pathology, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
- 9Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
- 10Department of Thoracic and Vascular Surgery, Antwerp University Hospital and Antwerp University, Antwerp, Belgium.
- 11Department of Cardiothoracic Surgery, Sheffield Teaching Hospitals, NHS Foundation Trust, Sheffield, United Kingdom.
- 0Division of Thoracic Surgery, University Hospital Rechts der Isar, Technical University of Munich, Munich, Germany.
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December 15, 2024
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View abstract on PubMed
Summary
This summary is machine-generated.The residual tumor (R) classification for lung cancer is inconsistently applied globally by pathologists and surgeons. Significant regional variations exist in its reporting and interpretation, hindering standardized lung cancer staging.
Area Of Science
- Oncology
- Pathology
- Thoracic Surgery
Background
- The residual tumor (R) classification is crucial for lung cancer staging and prognosis.
- Standardized application of the R classification is essential for consistent patient management and research.
Purpose Of The Study
- To evaluate the current practices and opinions of pathologists and thoracic surgeons on the application and interpretation of the R classification for lung cancer.
- To identify global variations in the use and assignment of the R status in lung cancer resection reports.
Main Methods
- A survey was distributed to 623 International Association for the Study of Lung Cancer (IASLC) members, comprising pathologists and thoracic surgeons.
- The online questionnaire included 12 questions focusing on the R classification's application and interpretation.
- A response rate of 72% was achieved, with 144 pathologists and 303 surgeons providing data.
Main Results
- Significant geographic disparities were observed in R classification reporting; 70% of US/Canadian pathologists do not report R status.
- Responsibility for assigning R category varies, with pathologists predominantly in Europe/UK and surgeons in China/Japan/US.
- The "uncertain resection" category is largely unutilized, except in limited centers in Japan and the UK.
Conclusions
- Surgical resection margins are routinely reported, but R category assignment lacks global uniformity and is often absent from pathology reports.
- The IASLC's proposed "uncertain resection" category has seen minimal adoption, indicating a need for further evidence and dissemination.
- Variations in R classification practices highlight challenges in achieving standardized lung cancer staging worldwide.
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