Comparison of community pathologists with expert dermatopathologists evaluating Breslow thickness and histopathologic subtype in a large international population-based study of melanoma
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Résumé
To the Editor: As of 2019 National Cancer Institute data show that melanoma is the fifth most common cancer in the United States.1National Cancer InstituteCancer Stat Facts: melanoma of the skin. SEER.https://seer.cancer.gov/statfacts/html/melan.htmlDate accessed: April 28, 2021Google Scholar There has been a recent push to include the histopathologic subtype of nodular melanoma as an independent prognostic classifier due to the identification of associated aggressive histopathologic characteristics and shorter recurrence-free times.2Lattanzi M. Lee Y. Simpson D. et al.Primary melanoma histologic subtype: impact on survival and response to therapy.J Natl Cancer Inst. 2019; 111: 180-188Crossref PubMed Scopus (34) Google Scholar,3Dessinioti C. Dimou N. Geller A.C. et al.Distinct clinicopathological and prognostic features of thin nodular primary melanomas: an international study from 17 centers.J Natl Cancer Inst. 2019; 111: 1314-1322Crossref PubMed Scopus (17) Google Scholar We used the population-based, Genes, Environment, and Melanoma (GEM) study,4Begg C.B. Hummer A.J. Mujumdar U. et al.A design for cancer case-control studies using only incident cases: experience with the GEM study of melanoma.Int J Epidemiol. 2006; 35: 756-764Crossref PubMed Scopus (60) Google Scholar to assess the levels of agreement between community pathologists, those who originally diagnosed the melanoma, and expert study dermatopathologists, who reviewed the lesion for complete histology, histopathologic subtype, and Breslow thickness. The salient components of the GEM study were that it was population-based, multi-country size, and included disease-specific mortality data and re-review of hematoxylin-eosin–stained tissues by dermatopathologists. We evaluated how histopathologic subtype misclassification might impact the reported disease-specific mortality. Our study included 1957 individuals with a first primary melanoma diagnosed in the year 2000, at centers of the GEM study in Australia, Canada, Italy, and the United States. The Institutional Review Board approval was obtained, and the subjects signed written consent. Each patient had their hematoxylin-eosin–stained slides read initially by a community pathologist, who reported Breslow thickness and histopathologic subtype followed by an independent review by a dermatopathologist, blinded to the community pathologist report. The vital status was obtained at an average of 7.4 years. Within the study population and lethal melanoma cases, descriptive statistics were calculated and the frequency tables that compared the kappa value for the readings of community pathologists and dermatopathologists were created for Breslow thickness and histopathologic subtype. All the tests were two-sided and P < .05 was considered significant. The data were analyzed using SAS 9.4 software and the interobserver variability was calculated with Fleiss' method.5Fleiss J.L. Levin B. Paik M.C. Statistical Methods for Rates and Proportions.3rd ed. John Wiley & Sons, Inc., 2003Crossref Google Scholar The mean age of the subjects at diagnosis was 55 years and 48.5% of them were women. The kappa for Breslow thickness was 0.72 (95% CI, 0.69-0.75), demonstrating a “substantial agreement.” The kappa within lethal cases was 0.56 (95% CI, 0.45-0.66), suggesting a “moderate agreement.” The overall kappa for the histopathologic subtype of 0.27 demonstrates only a “fair agreement” (Table I), whereas that for the reviewing dermatopathologists was 0.68, indicating a “substantial agreement.” The kappa for nodular subtype had only 51.3% agreement. Within the lethal cases, the kappa value was “fair,” 0.30 (Table II).Table IConcordance of histopathologic subtype between community pathologists and dermatopathologistsDermatopathologistsCommunity pathologistsSSMNMLMMALMSCNOSOtherTotalSSM919†Numbers in bold represent the number of subjects for which community pathologists and dermatopathologists agreed.337033523NM5596†Numbers in bold represent the number of subjects for which community pathologists and dermatopathologists agreed.712183LMM55472†Numbers in bold represent the number of subjects for which community pathologists and dermatopathologists agreed.1044ALM3113†Numbers in bold represent the number of subjects for which community pathologists and dermatopathologists agreed.100SC82001†Numbers in bold represent the number of subjects for which community pathologists and dermatopathologists agreed.23NOS35450462249†Numbers in bold represent the number of subjects for which community pathologists and dermatopathologists agreed.15Other1100100†Numbers in bold represent the number of subjects for which community pathologists and dermatopathologists agreed.Total (percent agreement)1395 (65.8)187 (51.3)196 (36.7)10 (0.30)10 (0.10)125 (39.2)28 (0.0)1951∗6 missing values.†Numbers in bold represent the number of subjects for which community pathologists and dermatopathologists agreed.Overall Correlation = 0.27 (95% CI, 0.24-0.30).ALM, Acral lentiginous melanoma; LMM, lentigo maligna melanoma; NM, nodular melanoma; NOS, not otherwise specified; SC, spindle cell; SSM, superficial spreading melanoma.∗ 6 missing values.† Numbers in bold represent the number of subjects for which community pathologists and dermatopathologists agreed. Open table in a new tab Table IIDeaths per histopathologic subtypeDermatopathologistsCommunity pathologistsSSMNMLMMALMSCNOSOtherTotalSSM34∗Numbers in bold represent the number of cases where community pathologists and dermatopathologists agreed.702130NM1222∗Numbers in bold represent the number of cases where community pathologists and dermatopathologists agreed.21051LMM422∗Numbers in bold represent the number of cases where community pathologists and dermatopathologists agreed.0001ALM1000∗Numbers in bold represent the number of cases where community pathologists and dermatopathologists agreed.000SC01000∗Numbers in bold represent the number of cases where community pathologists and dermatopathologists agreed.02NOS982109∗Numbers in bold represent the number of cases where community pathologists and dermatopathologists agreed.1Other0100100∗Numbers in bold represent the number of cases where community pathologists and dermatopathologists agreed.Total (percent agreement)60 (56.7)41 (53.7)6 (33.3)4 (0.0)2 (0.0)17 (52.9)5 (0.0)135∗Numbers in bold represent the number of cases where community pathologists and dermatopathologists agreed.Overall Correlation = 0.30, (95% CI, 0.19-0.40).ALM, Acral lentiginous melanoma; LMM, lentigo maligna melanoma; NM, nodular melanoma; NOS, not otherwise specified; SC, spindle cell; SSM, superficial spreading melanoma.∗ Numbers in bold represent the number of cases where community pathologists and dermatopathologists agreed. Open table in a new tab Overall Correlation = 0.27 (95% CI, 0.24-0.30). ALM, Acral lentiginous melanoma; LMM, lentigo maligna melanoma; NM, nodular melanoma; NOS, not otherwise specified; SC, spindle cell; SSM, superficial spreading melanoma. Overall Correlation = 0.30, (95% CI, 0.19-0.40). ALM, Acral lentiginous melanoma; LMM, lentigo maligna melanoma; NM, nodular melanoma; NOS, not otherwise specified; SC, spindle cell; SSM, superficial spreading melanoma. Our study illustrated a moderate-to-substantial agreement on Breslow thickness between the community pathologists and dermatopathologists. The decrease in Breslow-related kappa in fatal cases may represent less precision in measuring thicker tumors as lethal tumors tended to be deeper. We also observed higher rates of disagreement among pathologists for the histopathologic subtype. Considering that the subtype can indicate tumor characteristics, any misclassification might influence patients' counseling, treatment options, and their disease perception. The limitations of our study were that only the Breslow thickness and histopathologic subtype were measured due to the limited initial reporting by community pathologists and that the slide reviewed by the community pathologist may differ from the same slide reviewed by the dermatopathologist. Based on these results, we propose the judicious interpretation of nodular melanoma as a prognostic factor. The data on subtype without expert dermatopathology review should be used with caution until the interrater concordance improves. The patient prognosis should continue to be based on more reproducible characteristics such as Breslow thickness, ulceration, mitotic index, and metastasis. None disclosed. GEM Study Group: Coordinating Center, Memorial Sloan Kettering Cancer Center, New York, New York, Marianne Berwick (PI, currently at the University of New Mexico, Albuquerque, NM), Colin Begg, PhD (co-PI), Irene Orlow, PhD, MS (coinvestigator), Klaus J. Busam, MD (Dermatopathologist), Isidora Autuori, MS (Laboratory Member), Pampa Roy, PhD (Senior Laboratory Technician), Anne Reiner, MS (Biostatistician), University of New Mexico, Albuquerque, NM, Marianne Berwick, MPH, PhD (PI), Li Luo, PhD (Biostatistician), Tawny W. Boyce, MPH (Data Manager). Study Centers: The University of Sydney and The Cancer Council New South Wales, Sydney, Australia: Anne E. Cust, PhD (PI), Bruce K. Armstrong MD, PhD (former PI), Anne Kricker PhD, (former co-PI); Menzies Institute for Medical Research University of Tasmania, Hobart, Australia: Alison Venn (current PI), Terence Dwyer (PI, currently at University of Oxford, United Kingdom), Paul Tucker (Dermatopathologist); BC Cancer Vancouver, Canada: Richard P. Gallagher, M.A. (PI), Cancer Care Ontario, Toronto, Canada: Loraine D. Marrett, PhD (PI), Lynn From, MD (Dermatopathologist); CPO, Center for Cancer Prevention, Torino, Italy: Roberto Zanetti, MD (PI), Stefano Rosso, MD, MSc (co-PI); Lidia Sacchetto, PhD, (Biostatistician); University of California, Irvine, California: Hoda Anton-Culver, PhD (PI); University of Michigan, Ann Arbor, Michigan: Stephen B. Gruber, MD, MPH, PhD (PI, currently at City of Hope National Medical Center, California), Joseph D. Bonner, PhD (coinvestigator, joint at City of Hope-University of Michigan); University of North Carolina, Chapel Hill, North Carolina: Nancy E. Thomas, MD, PhD (PI), Kathleen Conway, PhD (coinvestigator), David W. Ollila, MD (coinvestigator), Pamela A. Groben, MD (Dermatopathologist), Sharon N. Edmiston, BA (Research Analyst), Honglin Hao (Laboratory Specialist), Eloise Parrish, MSPH (Laboratory Specialist), Jill S. Frank, MS (Research Assistant), David C. Gibbs, BS (Research Assistant, currently MD/PhD candidate at Emory University, Atlanta, Georgia); University of Pennsylvania, Philadelphia, Pennsylvania: Timothy R. Rebbeck, PD (former PI), Peter A. Kanetsky, MPH, PhD (PI, currently at Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute.); UV data consultants: Julia Lee Taylor, PhD, and Sasha Madronich, PhD, National Centre for Atmospheric Research, Boulder, Colorado.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle