Literature DB >> 27189823

Evaluation of the Melanocytic Pathology Assessment Tool and Hierarchy for Diagnosis (MPATH-Dx) classification scheme for diagnosis of cutaneous melanocytic neoplasms: Results from the International Melanoma Pathology Study Group.

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.   

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.
Copyright © 2016 American Academy of Dermatology, Inc. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Melanocytic Pathology Assessment Tool and Hierarchy for Diagnosis; classification; diagnosis; dysplastic nevus; melanoma; nevus; pathology; variability; variation

Mesh:

Year:  2016        PMID: 27189823      PMCID: PMC4958559          DOI: 10.1016/j.jaad.2016.04.052

Source DB:  PubMed          Journal:  J Am Acad Dermatol        ISSN: 0190-9622            Impact factor:   11.527


  8 in total

1.  Clinicians are from Mars and pathologists are from Venus.

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Journal:  Arch Pathol Lab Med       Date:  2000-07       Impact factor: 5.534

2.  BI-RADS classification for management of abnormal mammograms.

Authors:  Margaret M Eberl; Chester H Fox; Stephen B Edge; Cathleen A Carter; Martin C Mahoney
Journal:  J Am Board Fam Med       Date:  2006 Mar-Apr       Impact factor: 2.657

3.  The MPATH-Dx reporting schema for melanocytic proliferations and melanoma.

Authors:  Michael W Piepkorn; Raymond L Barnhill; David E Elder; Stevan R Knezevich; Patricia A Carney; Lisa M Reisch; Joann G Elmore
Journal:  J Am Acad Dermatol       Date:  2013-10-28       Impact factor: 11.527

4.  Direct-to-patient laboratory test reporting: balancing access with effective clinical communication.

Authors:  Michael J Young; Ethan Scheinberg; Harold Bursztajn
Journal:  JAMA       Date:  2014-07       Impact factor: 56.272

5.  Dermatology in an age of fully transparent electronic medical records.

Authors:  Jason P Lott; Michael W Piepkorn; Joann G Elmore
Journal:  JAMA Dermatol       Date:  2015-05       Impact factor: 10.282

6.  Interobserver variability on the histopathologic diagnosis of cutaneous melanoma and other pigmented skin lesions.

Authors:  R Corona; A Mele; M Amini; G De Rosa; G Coppola; P Piccardi; M Fucci; P Pasquini; T Faraggiana
Journal:  J Clin Oncol       Date:  1996-04       Impact factor: 44.544

7.  The ACR BI-RADS experience: learning from history.

Authors:  Elizabeth S Burnside; Edward A Sickles; Lawrence W Bassett; Daniel L Rubin; Carol H Lee; Debra M Ikeda; Ellen B Mendelson; Pamela A Wilcox; Priscilla F Butler; Carl J D'Orsi
Journal:  J Am Coll Radiol       Date:  2009-12       Impact factor: 5.532

8.  Pathology review significantly affects diagnosis and treatment of melanoma patients: an analysis of 5011 patients treated at a melanoma treatment center.

Authors:  Maarten G Niebling; Lauren E Haydu; Rooshdiya Z Karim; John F Thompson; Richard A Scolyer
Journal:  Ann Surg Oncol       Date:  2014-04-19       Impact factor: 5.344

  8 in total
  13 in total

1.  Pathologist characteristics associated with accuracy and reproducibility of melanocytic skin lesion interpretation.

Authors:  David E Elder; Michael W Piepkorn; Raymond L Barnhill; Gary M Longton; Heidi D Nelson; Stevan R Knezevich; Margaret S Pepe; Patricia A Carney; Linda J Titus; Tracy Onega; Anna N A Tosteson; Martin A Weinstock; Joann G Elmore
Journal:  J Am Acad Dermatol       Date:  2018-03-07       Impact factor: 11.527

Review 2.  [Dermatoscopic-pathological correlation of melanocytic skin lesions].

Authors:  H Kittler
Journal:  Hautarzt       Date:  2018-07       Impact factor: 0.751

3.  Population-Based Analysis of Histologically Confirmed Melanocytic Proliferations Using Natural Language Processing.

Authors:  Jason P Lott; Denise M Boudreau; Ray L Barnhill; Martin A Weinstock; Eleanor Knopp; Michael W Piepkorn; David E Elder; Steven R Knezevich; Andrew Baer; Anna N A Tosteson; Joann G Elmore
Journal:  JAMA Dermatol       Date:  2018-01-01       Impact factor: 10.282

4.  Histopathological diagnosis of cutaneous melanocytic lesions: blinded and nonblinded second opinions offer similar improvement in diagnostic accuracy.

Authors:  Kathleen F Kerr; Gary M Longton; Lisa M Reisch; Andrea C Radick; Megan M Eguchi; Hannah L Shucard; Margaret S Pepe; Michael W Piepkorn; David E Elder; Raymond L Barnhill; Joann G Elmore
Journal:  Clin Exp Dermatol       Date:  2022-06-22       Impact factor: 4.481

5.  Variation among pathologists' treatment suggestions for melanocytic lesions: A survey of pathologists.

Authors:  Kachiu C Lee; Sue Peacock; Martin A Weinstock; Ge Alice Zhao; Stevan R Knezevich; David E Elder; Raymond L Barnhill; Michael W Piepkorn; Lisa M Reisch; Patricia A Carney; Tracy Onega; Jason P Lott; Joann G Elmore
Journal:  J Am Acad Dermatol       Date:  2016-09-28       Impact factor: 11.527

6.  Factors associated with use of immunohistochemical markers in the histopathological diagnosis of cutaneous melanocytic lesions.

Authors:  Caitlin J May; Michael W Piepkorn; Stevan R Knezevich; David E Elder; Raymond L Barnhill; Annie C Lee; Martiniano J Flores; Kathleen F Kerr; Lisa M Reisch; Joann G Elmore
Journal:  J Cutan Pathol       Date:  2020-07-17       Impact factor: 1.587

7.  Pathologists' diagnosis of invasive melanoma and melanocytic proliferations: observer accuracy and reproducibility study.

Authors:  Joann G Elmore; Raymond L Barnhill; David E Elder; Gary M Longton; Margaret S Pepe; Lisa M Reisch; Patricia A Carney; Linda J Titus; Heidi D Nelson; Tracy Onega; Anna N A Tosteson; Martin A Weinstock; Stevan R Knezevich; Michael W Piepkorn
Journal:  BMJ       Date:  2017-06-28

8.  Validation of Whole-slide Digitally Imaged Melanocytic Lesions: Does Z-Stack Scanning Improve Diagnostic Accuracy?

Authors:  Bart Sturm; David Creytens; Martin G Cook; Jan Smits; Marcory C R F van Dijk; Erik Eijken; Eline Kurpershoek; Heidi V N Küsters-Vandevelde; Ariadne H A G Ooms; Carla Wauters; Willeke A M Blokx; Jeroen A W M van der Laak
Journal:  J Pathol Inform       Date:  2019-02-21

9.  Pathologists' agreement on treatment suggestions for melanocytic skin lesions.

Authors:  Mustufa A Jafry; Sue Peacock; Andrea C Radick; Hannah L Shucard; Lisa M Reisch; Michael W Piepkorn; Stevan R Knezevich; Martin A Weinstock; Raymond L Barnhill; David E Elder; Kathleen F Kerr; Joann G Elmore
Journal:  J Am Acad Dermatol       Date:  2019-12-17       Impact factor: 11.527

10.  Terminology for melanocytic skin lesions and the MPATH-Dx classification schema: A survey of dermatopathologists.

Authors:  Andrea C Radick; Lisa M Reisch; Hannah L Shucard; Michael W Piepkorn; Kathleen F Kerr; David E Elder; Raymond L Barnhill; Stevan R Knezevich; Natalia Oster; Joann G Elmore
Journal:  J Cutan Pathol       Date:  2020-11-06       Impact factor: 1.458

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