[Skip to Navigation]
Sign In
Table 1.  The MPATH-Dx Reporting Schema for Melanocytic Skin Lesion Classification Into 5 Diagnostic Classes, as Used in This Studya
The MPATH-Dx Reporting Schema for Melanocytic Skin Lesion Classification Into 5 Diagnostic Classes, as Used in This Studya
Table 2.  Changes in Concordance, Interobserver Agreement, and Intraobserver Reproducibility When Comparing AJCC 7 With AJCC 8
Changes in Concordance, Interobserver Agreement, and Intraobserver Reproducibility When Comparing AJCC 7 With AJCC 8
1.
Niebling  MG, Haydu  LE, Karim  RZ, Thompson  JF, Scolyer  RA.  Reproducibility of AJCC staging parameters in primary cutaneous melanoma: an analysis of 4,924 cases.  Ann Surg Oncol. 2013;20(12):3969-3975.PubMedGoogle ScholarCrossref
2.
Elmore  JG, Barnhill  RL, Elder  DE,  et al.  Pathologists’ diagnosis of invasive melanoma and melanocytic proliferations: observer accuracy and reproducibility study.  BMJ. 2017;357:j2813.PubMedGoogle ScholarCrossref
3.
Colloby  PS, West  KP, Fletcher  A.  Observer variation in the measurement of Breslow depth and Clark’s level in thin cutaneous malignant melanoma.  J Pathol. 1991;163(3):245-250.PubMedGoogle ScholarCrossref
4.
Eriksson  H, Frohm-Nilsson  M, Hedblad  MA,  et al.  Interobserver variability of histopathological prognostic parameters in cutaneous malignant melanoma: impact on patient management.  Acta Derm Venereol. 2013;93(4):411-416.PubMedGoogle ScholarCrossref
5.
Farmer  ER, Gonin  R, Hanna  MP.  Discordance in the histopathologic diagnosis of melanoma and melanocytic nevi between expert pathologists.  Hum Pathol. 1996;27(6):528-531.PubMedGoogle ScholarCrossref
6.
Krieger  N, Hiatt  RA, Sagebiel  RW, Clark  WH  Jr, Mihm  MC  Jr.  Inter-observer variability among pathologists’ evaluation of malignant melanoma: effects upon an analytic study.  J Clin Epidemiol. 1994;47(8):897-902.PubMedGoogle ScholarCrossref
7.
Patrawala  S, Maley  A, Greskovich  C,  et al.  Discordance of histopathologic parameters in cutaneous melanoma: clinical implications.  J Am Acad Dermatol. 2016;74(1):75-80.PubMedGoogle ScholarCrossref
8.
Edge  SB, Compton  CC, Fritz  AG, Greene  FL, Trotti  A, eds.  AJCC Cancer Staging Manual. 7th ed. New York, NY: Springer; 2010.
9.
Amin  MB, Edge  SB, Greene  FL, Byrd  DR, eds.  AJCC Cancer Staging Manual. 8th ed. New York, NY: Springer; 2017.
10.
Piepkorn  MW, Barnhill  RL, Elder  DE,  et al.  The MPATH-Dx reporting schema for melanocytic proliferations and melanoma.  J Am Acad Dermatol. 2014;70(1):131-141.PubMedGoogle ScholarCrossref
11.
Carney  PA, Reisch  LM, Piepkorn  MW,  et al.  Achieving consensus for the histopathologic diagnosis of melanocytic lesions: use of the modified Delphi method.  J Cutan Pathol. 2016;43(10):830-837.PubMedGoogle ScholarCrossref
12.
Dalkey  NC, Brown  B, Cochran  N.  The Delphi Method, III: Use of Self Ratings to Improve Group Estimates. Santa Monica, CA: Rand Corp; 1969.
13.
Garbe  C, Eigentler  TK, Bauer  J,  et al.  Mitotic rate in primary melanoma: interobserver and intraobserver reliability, analyzed using H&E sections and immunohistochemistry.  J Dtsch Dermatol Ges. 2016;14(9):910-915.Google Scholar
14.
Murali  R, Hughes  MT, Fitzgerald  P, Thompson  JF, Scolyer  RA.  Interobserver variation in the histopathologic reporting of key prognostic parameters, particularly clark level, affects pathologic staging of primary cutaneous melanoma.  Ann Surg. 2009;249(4):641-647.PubMedGoogle ScholarCrossref
15.
Verver  D, Louwman  WJ, Koljenović  S, Verhoef  C, Grünhagen  DJ, vanAkkooi  ACJ.  Improved stratification of pT1 melanoma according to the 8th American Joint Committee on Cancer staging edition criteria: a Dutch population-based study.  Eur J Cancer. 2018;92:100-107.PubMedGoogle ScholarCrossref
16.
Lott  J, Boudreau  D, Barnhill  R,  et al.  Population-based analysis of histologically confirmed melanocytic proliferations using natural language processing.  JAMA Dermatol. 2017; 154(1):24-29.PubMedGoogle ScholarCrossref
1 Comment for this article
Making Better Diagnoses
Stephan Fihn, MD MPH | University of Washington

As she and her team have done with breast cancer, Dr. Elmore has exposed undesirable variations among pathologists in diagnosing melanoma. In this paper, she shows that more precise criteria can eliminate some but not all of that variability. Her research suggests that new strategies to standardize diagnosis are required.

CONFLICT OF INTEREST: Deputy Editor
Original Investigation
Oncology
May 18, 2018

Concordance and Reproducibility of Melanoma Staging According to the 7th vs 8th Edition of the AJCC Cancer Staging Manual

Author Affiliations
  • 1Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles
  • 2Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Philadelphia
  • 3Department of Pathology, Institut Curie, Paris, France
  • 4Paris Sciences and Lettres Research University, Paris, France
  • 5Faculty of Medicine, University of Paris Descartes, Paris, France
  • 6Pathology Associates, Clovis, California
  • 7Program in Biostatistics and Biomathematics, Fred Hutchinson Cancer Research Center, Seattle, Washington
  • 8Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire
  • 9Department of Pediatrics, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire
  • 10Norris Cotton Cancer Center, Lebanon, New Hampshire
  • 11Center for Dermatoepidemiology, Providence Veterans Affair Medical Center, Providence, Rhode Island
  • 12Department of Dermatology, Brown University, Providence, Rhode Island
  • 13Department of Epidemiology, Brown University, Providence, Rhode Island
  • 14Department of Medical Informatics and Clinical Epidemiology, School of Medicine, Oregon Health and Science University, Portland
  • 15Department of Medicine, School of Medicine, Oregon Health and Science University, Portland
  • 16Department of Medicine, University of Washington School of Medicine, Seattle
  • 17Dermatopathology Northwest, Bellevue, Washington
JAMA Netw Open. 2018;1(1):e180083. doi:10.1001/jamanetworkopen.2018.0083
Key Points

Question  Do changes to the American Joint Committee on Cancer (AJCC) cancer staging system for melanoma improve concordance and reproducibility for invasive melanomas?

Findings  In this diagnostic study, melanoma staging in the AJCC Cancer Staging Manual, 8th edition, showed greater reproducibility and higher concordance with a reference standard than melanoma staging in the AJCC Cancer Staging Manual, 7th edition.

Meaning  Improved classification of invasive melanoma can be expected after implementation of the AJCC Cancer Staging Manual, 8th edition, suggesting a positive impact on patients.

Abstract

Importance  The recently updated American Joint Committee on Cancer (AJCC) classification of cancer staging, the AJCC Cancer Staging Manual, 8th edition (AJCC 8), includes revisions to definitions of T1a vs T1b or greater. The Melanoma Pathology Study database affords a comparison of pathologists’ concordance and reproducibility in the microstaging of melanoma according to both the existing 7th edition (AJCC 7) and the new AJCC 8.

Objective  To compare AJCC 7 and AJCC 8 to examine whether changes to the definitions of T1a and T1b or greater are associated with changes in concordance and reproducibility.

Design, Setting, and Participants  In this diagnostic study conducted as part of the national Melanoma Pathology Study across US states, 187 pathologists interpreting melanocytic skin lesions in practice completed 4342 independent case interpretations of 116 invasive melanoma cases. A consensus reference diagnosis and participating pathologists’ interpretations were classified into the Melanocytic Pathology Assessment Tool and Hierarchy for Diagnosis class IV (T1a) or class V (≥T1b) using both the AJCC 7 and AJCC 8 criteria.

Main Outcomes and Measures  Concordance with consensus reference diagnosis, interobserver reproducibility, and intraobserver reproducibility.

Results  For T1a diagnoses, participating pathologists’ concordance with the consensus reference diagnosis increased from 44% (95% CI, 41%-48%) to 54% (95% CI, 51%-57%) using AJCC 7 and AJCC 8 criteria, respectively. The concordance for cases of T1b or greater increased from 72% (95% CI, 69%-75%) to 78% (95% CI, 75%-80%). Intraobserver reproducibility of diagnoses also improved, increasing from 59% (95% CI, 56%-63%) to 64% (95% CI, 62%-67%) for T1a invasive melanoma, and from 74% (95% CI, 71%-76%) to 77% (95% CI, 74%-79%) for T1b or greater invasive melanoma cases.

Conclusions and Relevance  Melanoma staging in AJCC 8 shows greater reproducibility and higher concordance with a reference standard. Improved classification of invasive melanoma can be expected after implementation of AJCC 8, suggesting a positive impact on patients. However, despite improvement, concordance and reproducibility remain low.

Introduction

Disease subclassification according to the AJCC Cancer Staging Manual by the American Joint Committee on Cancer (AJCC) is the customary and prevalent mode for stratifying patients with melanoma to estimate prognosis, determine appropriate surgical intervention, and assess eligibility for adjuvant therapies and clinical trials. The process presupposes that pathologists’ application of the AJCC histopathological criteria to individual cases of melanoma is accurate and reproducible.

However, in the field of melanoma, there are only limited analyses quantifying the degree of reproducibility of AJCC microstaging between pathology observers.1 Extensive variability has been noted among pathologists in the diagnosis of invasive melanoma.2-7 One of the largest studies,2 our previously published Melanoma Pathology Study (M-Path) of 187 US pathologists, found less than 50% agreement between pathologists and a consensus-derived reference diagnosis of T1a invasive melanoma, with improvement to 72% concordance for invasive melanoma T1b or greater. Similarly, M-Path findings revealed only 46% interobserver agreement for T1a invasive melanoma, and 77% agreement for T1b or greater melanomas.2

The previous study2 was conceived and executed in the context of the AJCC Cancer Staging Manual, 7th edition (AJCC 7) staging system. Across interpretations at 2 points, pathologists’ intraobserver reproducibility reached 63% for T1a melanomas and 83% for T1b or greater melanomas. Given the updated classification in the AJCC Cancer Staging Manual, 8th edition (AJCC 8), particularly with changes in definitions of T1a vs T1b or greater, the M-Path database enables a new comparison of pathologist concordance with a reference standard and reproducibility in the microstaging of melanoma according to both the existing AJCC 7 and the current AJCC 8.8,9 Briefly, in AJCC 8, the depth for stage T1a is established at 0.8 mm, rather than 1.0 mm, and the presence of ulceration continues to contribute to stage modification, but mitoses do not. In addition, the reporting of Breslow thickness is limited to intervals of tenths of a millimeter rather than hundredths. We assess whether changes in criteria in the newer AJCC 8 are associated with changes in concordance and reliability, and whether observer interpretations of histological alterations within melanocytic lesions are reliable in the context of the demands of microstaging and its consequences per the AJCC schema.

Methods
Study Design

The data used in this diagnostic study are derived from the M-Path study,2 which was described previously. Practicing pathologists from 10 US states who actively interpreted melanocytic skin biopsy lesions as part of their usual clinical practice and planned to continue practicing for a minimum of 2 subsequent years were invited to participate. This study was approved by the institutional review boards of Dartmouth College, the Fred Hutchinson Cancer Research Center, Oregon Health and Science University, and the University of Washington. Informed consent was obtained from every participating pathologist using an online platform.

Each pathologist was randomized to interpret the same set of melanocytic skin biopsy cases on 2 occasions, at least 8 months apart. The study cases (n = 240) were assembled into 5 sets of 48 cases, each represented by a single glass slide. Each set included the full spectrum of melanocytic skin lesions (eg, from benign to invasive melanoma).

Participating pathologists independently reviewed the same cases using the same glass slides. Participants entered diagnostic interpretations into an online Melanocytic Pathology Assessment Tool and Hierarchy for Diagnosis (MPATH-Dx) histology form for each case, choosing from a diverse and comprehensive list of more than 50 diagnostic terms. We asked participants to assume that the single glass slide for each case was representative of the entire lesion and that the margin was involved (irrespective of whether it involved the biopsy margin). Research analysts subsequently mapped diagnostic interpretations into 1 of 5 diagnostic classes according to the MPATH-Dx mapping scheme.10 Examples of diagnostic terms for each class and suggested treatment recommendations, provided under the assumption that specimen margins are positive, are depicted in Table 1. Because the AJCC 8 criteria changes only affect MPATH-Dx classes IV (T1a) and V (≥T1b), this article focuses on the distinction between invasive melanomas exclusively.

Before data collection, a panel of 3 experienced dermatopathologists independently reviewed the hematoxylin-eosin–stained glass slides for each case followed by consensus review using a modified Delphi approach.11,12 This process was used to develop a consensus diagnosis for each of the M-Path study cases. Only 116 cases of invasive melanoma, as defined by the consensus diagnosis, were considered in this analysis. Three cases included in the original M-Path study as class IV were excluded here because classification was based on a treatment recommendation of wide excision but these cases were assessed as melanocytic lesions of uncertain malignant potential.

Statistical Analysis

For each case, the consensus reference diagnosis and the participating pathologists’ interpretations were classified into the MPATH-Dx class IV (T1a) or class V (≥T1b) using both the AJCC 7 and AJCC 8 criteria.8,9 Accuracy outcome measures included overinterpretation, underinterpretation, and concordance of participant interpretations with the relevant (AJCC 7 or AJCC 8) reference diagnosis. We defined overinterpretation as diagnosing cases at a higher diagnostic class than the reference diagnosis, and underinterpretation as diagnosing cases at a lower diagnostic class than the reference diagnosis. Interpretations in agreement with the reference diagnosis were concordant. Confidence intervals accounted for both within-participant and across-participant variability by using variance estimates of the following form:

{var(ratep) + [ave(ratep) × (1−ave(ratep))]/nc}/np,

where ave(ratep) is the average rate among pathologists, var(ratep) is the sample variance of rates among pathologists, nc is the number of cases interpreted by each pathologist, and np is the number of pathologists. Logistic regression models were used to test for a difference in accuracy between AJCC 7– and AJCC 8–based mappings. Models used robust estimators of the variance to account for correlation of case interpretations from the same pathologist.

The reproducibility of participating pathologists’ interpretations were assessed as both intraobserver and interobserver concordance. Interobserver concordance considered all pairs of interpretations of the same invasive disease case by 2 different pathologists, and the proportion of those pairs for which interpretations were in the same diagnostic class was calculated. Although cases were restricted to those with invasive melanoma by consensus reference diagnosis, participating pathologist interpretations could include diagnoses in other noninvasive MPATH-Dx classes. Confidence intervals for interobserver concordance rates were bootstrap percentile intervals, and tests for differences between AJCC 7– and AJCC 8–based mappings used a Wald statistic based on the bootstrap standard error of the difference. A total of 3000 bootstrap samples were obtained by participant-level sampling with replacement and generation of all possible pairs of distinct sample participants for each sample.

For intraobserver concordance among the 118 participants who interpreted the same glass slides on 2 occasions, we calculated the proportion of cases with both interpretations in the same diagnostic class. Confidence intervals for intraobserver concordance rates used a logit transformation and robust standard error that accounted for clustering at pathologist level. Logistic regression models were used to test for a difference in intraobserver concordance between AJCC 7– and AJCC 8–based mappings. All P values correspond to 2-tailed tests and differences with P < .05 were considered to be statistically significant. Analyses were performed using Stata statistical software (StataCorp), version 14.

Results

The 116 skin biopsy cases defined as invasive melanoma per the consensus reference diagnosis included 55 cases (47%) of T1a invasive melanoma and 61 cases (53%) of T1b or greater using AJCC 7. When AJCC 8 staging criteria were applied, the consensus reference diagnosis was upgraded from T1a to T1b or greater for 4 of 55 cases (7%) and downgraded from T1b or greater to T1a for 19 of 61 cases (31%). The reclassification of invasive cases by consensus reference diagnosis under AJCC 8 resulted in 70 T1a cases (60%) and 46 cases (40%) of T1b or greater.

Of 301 eligible pathologists, 187 (62%) enrolled and completed independent interpretations. In the first round of interpretations, the pathologists completed 4342 independent case interpretations of the invasive melanoma cases. Similar to the aforementioned movement in consensus reference diagnoses, participant diagnoses were upgraded from T1a to T1b or greater for 136 of 1229 T1a assessments (11%) and downgraded from T1b or greater to T1a for 467 of 1841 assessments (25%).

As shown in Table 2, concordance and reproducibility were improved when using the AJCC 8 criteria vs the earlier AJCC 7 criteria. With regard to T1a diagnoses, participating pathologists’ concordance with the consensus reference diagnosis increased from 44% (95% CI, 41%-48%), using AJCC 7 criteria, to 54% (95% CI, 51%-57%), using AJCC 8 criteria. The concordance for T1b or greater cases increased from 72% (95% CI, 69%-75%) to 78% (95% CI, 75%-80%). The increased concordance associated with using the AJCC 8 reduced both underinterpretation and overinterpretation.

The intraobserver reproducibility of diagnoses also improved when using the AJCC 8 criteria, increasing from 59% (95% CI, 56%-63%) to 64% (95% CI, 62%-67%) for T1a invasive melanoma, and from 74% (95% CI, 71%-76%) to 77% (95% CI, 74%-79%) for T1b or greater invasive melanoma cases. Average pairwise-interobserver agreement increased from 41% (95% CI, 39%-44%) to 51% (95% CI, 48%-53%) for T1a cases, and from 67% (95% CI, 64%-69%) to 69% (95% CI, 66%-73%) for T1b or greater cases.

Discussion

This analysis provides data that the new AJCC 8 criteria may lead to improved concordance and reproducibility among pathologists in the classification of invasive melanoma, although the size of this effect is modest. One explanation of the improvement in concordance of pathological staging of T1a and T1b melanoma in AJCC 8 is the change in stage T1 subgroups and criteria from AJCC 7. In AJCC 7, the criteria for T1b were presence of dermal mitotic activity, Breslow thickness, or epidermal ulceration,8 whereas in AJCC 8, the primary determinants for T1a vs T1b were Breslow thickness and ulceration, with the elimination of mitotic activity.9

In AJCC 8, T1b is now defined by Breslow thickness 0.8 mm or greater or ulceration in melanomas smaller than 0.8 mm. Because recognition of mitoses in thin melanomas is considered potentially unreliable13 and the recording of Breslow thickness more reliable,14 one would expect to find greater reliability of both T1a and T1b classification in the AJCC 8 staging. In fact, our results correspond exactly to this presupposed increase in reliability of classification of T1a and T1b in AJCC 8. A retrospective restaging of the Netherlands Cancer Registry database also reported a modest improvement in stratification of pT1 melanoma associated with the implementation of AJCC 8 criteria.15

Limitations

Limitations of the study include interpretation of a single slide (although participants were asked to assume the slide was representative), use of a testing environment rather than a practice setting, and inability to obtain second opinions and clinical histories. Also, there is no established method to define a gold-standard diagnosis; therefore, improvement in concordance with an expert-defined reference should not necessarily be interpreted as improvement in accuracy. We chose to use the consensus of 3 experienced pathologists because this approach could be replicated in clinical practice. Finally, the relative proportions of cases used for this study are not representative of the population.16 Strengths include a large number of participating pathologists reviewing the same glass slides on 2 occasions and the ability to assess both concordance with a reference and reproducibility.

Conclusions

Our results suggest that the changes in the AJCC staging will likely have a positive effect on patients. The consequences of melanoma staging to patients are substantial. Among these are patients’ perceptions of long-term implications to their health as determined by the particular stage assigned at diagnosis, economic consequences of health care services, and the magnitude of surgical interventions indicated by the staging classification (eg, size of wide local resection, eligibility for sentinel lymphatic mapping, and implications for other therapies). In view of these clinical ramifications, even modest improvements of 6% to 10% in diagnostic concordance resulting from changes from AJCC 7 to AJCC 8 are important. However, despite improvement, concordance and reproducibility remain low and suggest that conventional histopathology has been parsed to a degree that falls below the limits of reliability for the demands and consequences of the staging schemata that have evolved over time.

Back to top
Article Information

Accepted for Publication: January 30, 2018.

Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2018 Elmore JG et al. JAMA Network Open.

Corresponding Author: Joann G. Elmore, MD, MPH, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, 10940 Wilshire Blvd, Ste 710, Los Angeles, CA 90024 (jelmore@mednet.ucla.edu).

Author Contributions: Dr Elmore had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

Concept and design: Elmore, Elder, Barnhill, Titus, Pepe, Nelson, Reisch, Piepkorn.

Acquisition, analysis, or interpretation of data: Elmore, Elder, Barnhill, Knezevich, Longton, Weinstock, Pepe, Nelson, Radick, Piepkorn.

Drafting of the manuscript: Elmore, Elder, Reisch, Radick, Piepkorn.

Critical revision of the manuscript for important intellectual content: Elmore, Elder, Barnhill, Knezevich, Longton, Titus, Weinstock, Pepe, Nelson.

Statistical analysis: Longton, Pepe.

Obtained funding: Elmore, Pepe, Piepkorn.

Administrative, technical, or material support: Elmore, Reisch, Radick.

Supervision: Elmore.

Conflict of Interest Disclosures: Dr Elder reported serving as a consultant for Myriad Genetics and SciBase and receiving research funding from the National Institutes of Health/National Cancer Institute. Dr Barnhill reported a financial relationship with Myriad Genetics. Dr Longton reported receiving grants from Fred Hutchinson Cancer Research Center and the National Cancer Institute during the conduct of the study. Drs Titus, Weinstock, Pepe, and Piepkorn reported receiving grants from the National Cancer Institute during the conduct of the study. No other disclosures were reported.

Funding/Support: Research reported in this article was supported by the National Cancer Institute of the National Institutes of Health under awards R01CA201376, R01CA200690, and R01CA151306.

Role of the Funder/Sponsor: The funder had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Disclaimer: The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

References
1.
Niebling  MG, Haydu  LE, Karim  RZ, Thompson  JF, Scolyer  RA.  Reproducibility of AJCC staging parameters in primary cutaneous melanoma: an analysis of 4,924 cases.  Ann Surg Oncol. 2013;20(12):3969-3975.PubMedGoogle ScholarCrossref
2.
Elmore  JG, Barnhill  RL, Elder  DE,  et al.  Pathologists’ diagnosis of invasive melanoma and melanocytic proliferations: observer accuracy and reproducibility study.  BMJ. 2017;357:j2813.PubMedGoogle ScholarCrossref
3.
Colloby  PS, West  KP, Fletcher  A.  Observer variation in the measurement of Breslow depth and Clark’s level in thin cutaneous malignant melanoma.  J Pathol. 1991;163(3):245-250.PubMedGoogle ScholarCrossref
4.
Eriksson  H, Frohm-Nilsson  M, Hedblad  MA,  et al.  Interobserver variability of histopathological prognostic parameters in cutaneous malignant melanoma: impact on patient management.  Acta Derm Venereol. 2013;93(4):411-416.PubMedGoogle ScholarCrossref
5.
Farmer  ER, Gonin  R, Hanna  MP.  Discordance in the histopathologic diagnosis of melanoma and melanocytic nevi between expert pathologists.  Hum Pathol. 1996;27(6):528-531.PubMedGoogle ScholarCrossref
6.
Krieger  N, Hiatt  RA, Sagebiel  RW, Clark  WH  Jr, Mihm  MC  Jr.  Inter-observer variability among pathologists’ evaluation of malignant melanoma: effects upon an analytic study.  J Clin Epidemiol. 1994;47(8):897-902.PubMedGoogle ScholarCrossref
7.
Patrawala  S, Maley  A, Greskovich  C,  et al.  Discordance of histopathologic parameters in cutaneous melanoma: clinical implications.  J Am Acad Dermatol. 2016;74(1):75-80.PubMedGoogle ScholarCrossref
8.
Edge  SB, Compton  CC, Fritz  AG, Greene  FL, Trotti  A, eds.  AJCC Cancer Staging Manual. 7th ed. New York, NY: Springer; 2010.
9.
Amin  MB, Edge  SB, Greene  FL, Byrd  DR, eds.  AJCC Cancer Staging Manual. 8th ed. New York, NY: Springer; 2017.
10.
Piepkorn  MW, Barnhill  RL, Elder  DE,  et al.  The MPATH-Dx reporting schema for melanocytic proliferations and melanoma.  J Am Acad Dermatol. 2014;70(1):131-141.PubMedGoogle ScholarCrossref
11.
Carney  PA, Reisch  LM, Piepkorn  MW,  et al.  Achieving consensus for the histopathologic diagnosis of melanocytic lesions: use of the modified Delphi method.  J Cutan Pathol. 2016;43(10):830-837.PubMedGoogle ScholarCrossref
12.
Dalkey  NC, Brown  B, Cochran  N.  The Delphi Method, III: Use of Self Ratings to Improve Group Estimates. Santa Monica, CA: Rand Corp; 1969.
13.
Garbe  C, Eigentler  TK, Bauer  J,  et al.  Mitotic rate in primary melanoma: interobserver and intraobserver reliability, analyzed using H&E sections and immunohistochemistry.  J Dtsch Dermatol Ges. 2016;14(9):910-915.Google Scholar
14.
Murali  R, Hughes  MT, Fitzgerald  P, Thompson  JF, Scolyer  RA.  Interobserver variation in the histopathologic reporting of key prognostic parameters, particularly clark level, affects pathologic staging of primary cutaneous melanoma.  Ann Surg. 2009;249(4):641-647.PubMedGoogle ScholarCrossref
15.
Verver  D, Louwman  WJ, Koljenović  S, Verhoef  C, Grünhagen  DJ, vanAkkooi  ACJ.  Improved stratification of pT1 melanoma according to the 8th American Joint Committee on Cancer staging edition criteria: a Dutch population-based study.  Eur J Cancer. 2018;92:100-107.PubMedGoogle ScholarCrossref
16.
Lott  J, Boudreau  D, Barnhill  R,  et al.  Population-based analysis of histologically confirmed melanocytic proliferations using natural language processing.  JAMA Dermatol. 2017; 154(1):24-29.PubMedGoogle ScholarCrossref
×