Jason P Lott1, Joann G Elmore2, Ge A Zhao3, Stevan R Knezevich4, Paul D Frederick5, Lisa M Reisch5, Emily Y Chu6, Martin G Cook7, Lyn M Duncan8, Rosalie Elenitsas6, Pedram Gerami9, Gilles Landman10, Lori Lowe11, Jane L Messina12, Martin C Mihm13, Joost J van den Oord14, Michael S Rabkin15, Birgitta Schmidt16, Christopher R Shea17, Sook Jung Yun18, George X Xu19, Michael W Piepkorn3, David E Elder19, Raymond L Barnhill20. 1. Cornell Scott-Hill Health Center, New Haven, Connecticut. 2. Department of Internal Medicine, University of Washington School of Medicine, Seattle, Washington. Electronic address: jelmore@u.washington.edu. 3. Division of Dermatology, University of Washington School of Medicine, Seattle, Washington. 4. Pathology Associates, Clovis, California. 5. Department of Internal Medicine, University of Washington School of Medicine, Seattle, Washington. 6. Department of Dermatology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania. 7. University of Surrey Division of Clinical Medicine, Surrey, United Kingdom. 8. Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts. 9. Department of Dermatology, Northwestern University Feinberg School of Medicine, Chicago, Illinois. 10. Department of Pathology, Universidade Federal de São Paulo-Escola Paulista de Medicina, São Paulo, Brazil. 11. Department of Pathology and Dermatology, University of Michigan Hospital and Health Systems, Ann Arbor, Michigan. 12. Departments of Anatomic Pathology and Cutaneous Oncology, Moffitt Center, and Department of Pathology and Cell Biology, University of South Florida Morsani College of Medicine, Tampa, Florida. 13. Department of Dermatology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts. 14. Department of Pathology, University Hospitals Katholieke Universiteit Leuven, Leuven, Belgium. 15. Rabkin Dermatopathology Laboratory PC, Tarentum, Pennsylvania. 16. Department of Pathology, Boston Children's Hospital and Harvard Medical School, Boston, Massachusetts. 17. Section of Dermatology, University of Chicago Medicine, Chicago, Illinois. 18. Department of Dermatology, Chonnam National University School of Medicine, Gwangju, Korea. 19. Department of Pathology and Lab Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania. 20. Department of Pathology, Institut Curie and Faculty of Medicine, University of Paris Descartes, Paris, France.
Abstract
BACKGROUND: Pathologists use diverse terminology when interpreting melanocytic neoplasms, potentially compromising quality of care. OBJECTIVE: We sought to evaluate the Melanocytic Pathology Assessment Tool and Hierarchy for Diagnosis (MPATH-Dx) scheme, a 5-category classification system for melanocytic lesions. METHODS: Participants (n = 16) of the 2013 International Melanoma Pathology Study Group Workshop provided independent case-level diagnoses and treatment suggestions for 48 melanocytic lesions. Individual diagnoses (including, when necessary, least and most severe diagnoses) were mapped to corresponding MPATH-Dx classes. Interrater agreement and correlation between MPATH-Dx categorization and treatment suggestions were evaluated. RESULTS: Most participants were board-certified dermatopathologists (n = 15), age 50 years or older (n = 12), male (n = 9), based in the United States (n = 11), and primary academic faculty (n = 14). Overall, participants generated 634 case-level diagnoses with treatment suggestions. Mean weighted kappa coefficients for diagnostic agreement after MPATH-Dx mapping (assuming least and most severe diagnoses, when necessary) were 0.70 (95% confidence interval 0.68-0.71) and 0.72 (95% confidence interval 0.71-0.73), respectively, whereas correlation between MPATH-Dx categorization and treatment suggestions was 0.91. LIMITATIONS: This was a small sample size of experienced pathologists in a testing situation. CONCLUSION: Varying diagnostic nomenclature can be classified into a concise hierarchy using the MPATH-Dx scheme. Further research is needed to determine whether this classification system can facilitate diagnostic concordance in general pathology practice and improve patient care.
BACKGROUND: Pathologists use diverse terminology when interpreting melanocytic neoplasms, potentially compromising quality of care. OBJECTIVE: We sought to evaluate the Melanocytic Pathology Assessment Tool and Hierarchy for Diagnosis (MPATH-Dx) scheme, a 5-category classification system for melanocytic lesions. METHODS:Participants (n = 16) of the 2013 International Melanoma Pathology Study Group Workshop provided independent case-level diagnoses and treatment suggestions for 48 melanocytic lesions. Individual diagnoses (including, when necessary, least and most severe diagnoses) were mapped to corresponding MPATH-Dx classes. Interrater agreement and correlation between MPATH-Dx categorization and treatment suggestions were evaluated. RESULTS: Most participants were board-certified dermatopathologists (n = 15), age 50 years or older (n = 12), male (n = 9), based in the United States (n = 11), and primary academic faculty (n = 14). Overall, participants generated 634 case-level diagnoses with treatment suggestions. Mean weighted kappa coefficients for diagnostic agreement after MPATH-Dx mapping (assuming least and most severe diagnoses, when necessary) were 0.70 (95% confidence interval 0.68-0.71) and 0.72 (95% confidence interval 0.71-0.73), respectively, whereas correlation between MPATH-Dx categorization and treatment suggestions was 0.91. LIMITATIONS: This was a small sample size of experienced pathologists in a testing situation. CONCLUSION: Varying diagnostic nomenclature can be classified into a concise hierarchy using the MPATH-Dx scheme. Further research is needed to determine whether this classification system can facilitate diagnostic concordance in general pathology practice and improve patient care.
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