Literature DB >> 32642737

Assessing interobserver variability and accuracy in the histological diagnosis and classification of cutaneous neurofibromass.

Nicolas Ortonne1, Steven L Carroll2, Fausto J Rodriguez3, Douglas C Miller4, Rosalynn M Nazarian5, Jaishri O Blakeley6, Zachary B Madaj7, Sharad K Verma6, Anat Stemmer-Rachamimov8.   

Abstract

BACKGROUND: Cutaneous neurofibromas (cNFs) are the most common tumors in people with neurofibromatosis type 1 (NF1) and are associated with reduced quality of life. There is currently no widely accepted standardized language for describing cNFs clinically or histopathologically. The objective of this study was to evaluate interobserver agreement across pathologists in describing and reporting of neurofibromas involving the skin.
METHODS: Twenty-eight (H&E)-stained slides of cNF were scanned using an Aperio XT scanner. The digital images were reviewed by 6 pathologists, who entered free text of up to a 200 word description for each case into a REDcap database. Responses were analyzed for the most commonly used terms based on frequency, as well as agreement (reported as concordance) between reviewers.
RESULTS: A set of the terms most commonly used by pathologists for the histological classification of cNF along with areas of agreement and disagreement have been identified. The study shows that there was strong agreement across reviewers that not all neurofibromas involving the skin are cutaneous neurofibromas and regarding the presence or absence of atypical features and heterologous elements. Areas of less concordance were identified and include cNF subtypes, definition of extension and pattern of growth, as well as the distinction of a cNF from a plexiform without an intraneural component involving skin.
CONCLUSIONS: This work is the first step towards development of a robust classification system and devising "gold standard" histopathologic diagnostic criteria for cutaneous neurofibromas.
© The Author(s) 2019. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology.

Entities:  

Keywords:  NF1; cutaneous neurofibroma; interobserver variability; pathology

Year:  2019        PMID: 32642737      PMCID: PMC7317056          DOI: 10.1093/noajnl/vdz050

Source DB:  PubMed          Journal:  Neurooncol Adv        ISSN: 2632-2498


There was: Concordance regarding distinction between a cNF and a plexiform neurofibroma with intraneural component. Concordance regarding absence or presence of atypical features in cNF. Low concordance regarding cNF subtypes, extent, and pattern of growth. There is currently no commonly accepted classification scheme for describing cNF. Having such a scheme is essential for physicians in order to have informed discussions with drug developers and regulators and to develop interventional therapies (for which none currently exist) for this prevalent disease. Gaining a better understanding of how pathologists of different subspecialties view cNFs, and identifying areas of agreement and disagreement amongst their features, represents an important first step towards developing a commonly accepted classification scheme. Neurofibromatosis type 1 (NF1) is an autosomal dominant genetic disease affecting 1 of 2500 persons[1] characterized by cutaneous, skeletal, neurological, and neoplastic manifestations. In adults, cutaneous neurofibromas (cNFs) are the most common manifestation of the disease, affecting more than 99% of patients.[2-8] Cutaneous neurofibromas increase in number and size with age across the patients’ lifespan, most often first appearing between late school age and in the second decade.[2,4,9,10] Although benign, these tumors are a major source of emotional and social distress[2,11-13] and may also cause intermittent but chronic physical symptoms such as pain and itching.[14] Therefore, although benign, cutaneous neurofibromas are highly damaging to NF1 patients via their disfigurement, pain, and itching. There is no common pathologically based terminology for neurofibromas involving skin, as different terminology is used by various subspecialties (neuropathology, dermatopathology, and soft tissue pathology) and across institutions.[15] Several efforts to define the various forms of neurofibromas have been proposed by neurologists, clinical geneticists, dermatologists, pathologists, and basic researchers, and these have resulted in a number of classification systems from various pathology organizations. For example, guidelines proposed by the College of American Pathologists may be used by general pathologists, whereas neuropathologists rely upon the 2016 WHO classification of tumors of the central nervous system[16] (revised from the 4th edition published in 2007[17]). Dermatopathologists may use recommendations from the American Society of Dermatopathology,[18,19] and soft tissue pathologists the WHO classification guidelines for soft tissue and bone tumors.[20] In some cases, one lesion is described with multiple terms (e.g., nodular, discrete, and localized cutaneous neurofibromas), whereas in other cases the same term may be used to describe two different lesions (e.g., nodular may be intra- or extra-neural). So, despite these valuable guidelines, some of the schemes are incompatible with one another and have hindered rather than improved our understanding of the disease and the development of effective therapies. A summary of the current classifications for cutaneous neurofibromas was recently published.[15] As a first step in developing a classification system for cNFs, the present study assesses the interobserver variability and accuracy of reporting of neurofibromas involving skin by a panel of pathologists of different subspecialties. From this preliminary step, we will be positioned to develop standardized terminology for describing all neurofibromas clinically and on histopathologic examination.

Methods

The study was approved by the appropriate institutional review boards. Deidentified histopathology pictures of neurofibromas involving the skin from patients diagnosed with NF1 were obtained from the French national referral center (NF1 Ile de France). Samples were biopsied or resected between 01 April 2014 and 31 April 2017 and analyzed in the Department of Pathology of Henri Mondor hospital. Tumors were removed by surgery and/or laser. Tumors with morphological artifacts hampering interpretation were excluded from this study. All samples were paraffin-embedded sections stained with hematoxylin and eosin. Samples analyzed (N = 28) were from 12 women and 5 men (age range of 15–62, mean age 44) at the time of biopsy or resection. The lesions ranged from 0.2 to 3.0 cm (mean size 1.2 cm and median size 0.9 cm, measured by soft ruler). The samples were resected from skin from the scalp, fingers, shoulder, arm, cheek, foot, ankle, and back and processed routinely for histopathology. The hematoxylin and eosin (H&E)-stained slides were scanned using an Aperio XT scanner. Digital slides were downloaded using the native image format, Aperio SVS files and analyzed using the CaloPix viewer (TRIBVN-HEALTHCARE, Chatillon, France), and digital images were shared with the reviewers through the internet. Individual reviews were conducted by 4 neuropathologists and 2 dermatopathologists, who evaluated each image and entered free text of up to a 200 word description for each case into a REDcap database.[21] A total of 168 reviews were received for the 28 slides assessed by the 6 reviewers. Concordance by reviewers was evaluated as % agreement, defined as 100% = 6 of 6 reviewers agree, 83% = 5 of 6 reviewers agree, 67% = 4 of 6 reviewers agree, 50% = 3 of 6 reviewers agree, 33% = 2 of 6 reviewers agree, and 17% = comment made by one reviewer only. Concordance was considered “strong” when >50% of reviewers (i.e., at least 4 reviewers) were in agreement for >50% of the slides evaluated. Responses were analyzed for the most commonly used terms based on frequency, as well as agreement (reported as concordance) between reviewers. Concordance was considered “weak” when agreement from a majority of reviewers (at least 4 of 6) was not ever observed, and 3 or less of 6 reviewers (≤50%) were in agreement for a majority of the slides. All other scenarios were considered to have “mixed” concordance.

Results

The 10 terms most commonly cited from at least 4 of 6 reviewers were “in the dermis,” “cutaneous neurofibroma,” “absence of atypia or atypical features,” “absence of heterologous features,” “subcutaneous penetrance,” “pigment/melanin,” “fibrous or fibrillary stroma,” “diffuse architecture,” “deep extension (into dermis, fat/adipose),” and “involvement with fat/adipose” (Figure 1; Table 1). Moreover, these 10 terms were cited in almost all the slides evaluated (Figure 2). Concordance was however variable across reviewers with respect to the slides where these features appeared (Figure 3). Concordance was considered “strong” for the terms “involvement in the dermis,” “cutaneous neurofibroma,” “absence of atypia or atypical features,” “absence of heterologous features,” and “subcutaneous penetrance,” where the majority of reviewers (at least 4 of 6 reviewers) were in agreement for >50% of the slides reviewed. In contrast, concordance was considered “weak” for the terms “fibrous or fibrillary stroma” where agreement from the majority of reviewers was not ever observed, and ≤50% of reviewers were in agreement for a majority of the slides. The level of concordance was observed as being “mixed” for the terms, “pigment/melanin,” “diffuse architecture,” “deep extension (into dermis, fat/adipose),” and “involvement with fat/adipose.” The subtype of cNF diagnosed (flat/sessile/globular/pedunculated) was cited 48 times in up to 22 images. However, the level of concordance for diagnoses was low, irrespective of the subtype (Figures 4 and 5; Table 2). For two cases diagnosed as not being cNF (a plexiform neurofibroma with intraneural component extending to the skin), there was strong agreement from reviewers (agreement from at least 4 of the 6 reviewers; Figure 5). Overall, for the diagnosis of cNF, a concordance rate of at least 67% (i.e., agreement from at least 4 reviewers) was observed for 79% of the cases evaluated (22 of 26). For the remaining cases (4 of 26; 21%), the rate of concordance was ≤50%.
Figure 1.

Most commonly cited terms from at least 4 of 6 reviewers independently evaluating 28 slides (out of 168 responses).

Table 1.

Results from independent reviews for frequently cited terms and agreement across reviewers

TermNo. of times citedResultsLevel of concordance
In the dermis157Term cited in all slides with ≥ 67% agreement for 27/28 slides (96%) •100% agreement for 14 slides •83% agreement for 11 slides •67% agreement for 2 slides •50% agreement for 1 slideStrong
Cutaneous neurofibroma126Term cited in 26/28 slides (93%) with ≥ 67% agreement for 22/26 slides (85%) •83% agreement for 10 slides •67% agreement for 12 slides •50% agreement for 2 slides •33% agreement for 2 slides •17% agreement for 2 slidesStrong
Atypia or atypical (absence of)117Term cited in 27/28 slides (96%) with ≥67% agreement for 27/28 slides (96%) •83% agreement for 8 slides •67% agreement for 19 slides •50% agreement for 1 slideStrong
Heterologous features (absence of)104Term cited in all slides, with 67% agreement for 22/28 slides (79%). •67% agreement for 22 slides •50% agreement for 6 slidesStrong
Subcutaneous penetrance87Term cited in all slides, with ≥67% agreement for 17/28 slides (61%). •100% agreement for 8 slides •83% agreement for 4 slides •67% agreement for 5 slides •50% agreement for 3 slides •33% agreement for 5 slides •17% agreement for 3 slidesStrong
Pigment/melanin78Term cited in all slides, with 67% agreement for 4/28 (14%) and ≤50% for 24/28 slides (86%). •67% agreement for 4 slides •50% agreement for 14 slides •33% agreement for 10 slidesMixed
Fibrous or fibrillary stroma74Term cited in all slides with agreement limited up to 50% for all slides. •50% agreement for 20 slides •33% agreement for 6 slides •17% agreement for 2 slidesWeak
Diffuse architecture71Term cited in all slides with 67% agreement for 5/28 slides (18%) and ≤ 50% agreement for 23/28 slides (82%). •67% agreement for 5 slides •50% agreement for 9 slides •34% agreement for 10 slides •17% agreement for 4 slidesMixed
Deep extension (into dermis, fat/adipose)56Term cited in 24/28 slides (86%) with 67% agreement for 4/24 slides (17%) and ≤50% agreement for 15/24 slides (83%) •67% agreement for 4 slides •50% agreement for 5 slides •34% agreement for 10 slides •17% agreement for 5 slidesMixed
Involvement with fat/adipose53Term cited in 22/28 of slides (79%) with 67% agreement for 6/22 slides (28%) and ≤50% agreement for 16/22 slides (72%) •67% agreement for 6 slides •50% agreement for 5 slides •34% agreement for 7 slides •17% agreement for 4 slidesMixed
Figure 2.

Most commonly cited terms appear in almost all the slides reviewed.

Figure 3.

Levels of agreement vary across the most commonly cited terms.

Figure 4.

Less agreement across reviewers with respect to classifications.

Figure 5.

Histological features of neurofibromas in the skin; H&E stain. Example of a lesion with low concordance regarding histological subtype (A) and a lesion with high concordance (plexiform involving skin; B).

Table 2.

cNF classification with respect to reviewer agreement

cNF classificationNo. of images citedNo. of times classification cited by reviewersAgreement levels across reviewers
Flat152050% agreement for 1 case (7%)
33% agreement for 2 cases (14%)
No agreement across 12 cases (79%)
Sessile224867% agreement for 3 cases (14%)
50% agreement for 6 cases (27%)
33% agreement for 5 cases (23%)
No agreement for 8 cases (36%)
Globular193967% agreement for 3 cases (16%)
50% agreement 6 cases (31%)
33% agreement for 4 cases (21%)
No agreement across 11 cases (58%)
Pedunculated61050% agreement for 2 cases (33%)
No agreement for 4 cases (67%)
Results from independent reviews for frequently cited terms and agreement across reviewers cNF classification with respect to reviewer agreement Most commonly cited terms from at least 4 of 6 reviewers independently evaluating 28 slides (out of 168 responses). Most commonly cited terms appear in almost all the slides reviewed. Levels of agreement vary across the most commonly cited terms. Less agreement across reviewers with respect to classifications. Histological features of neurofibromas in the skin; H&E stain. Example of a lesion with low concordance regarding histological subtype (A) and a lesion with high concordance (plexiform involving skin; B).

Discussion

cNFs are the most common tumor in people with NF1.[2-8] There is currently no widely accepted standardized language for describing cNFs clinically or histopathologically.[16] The objective of this study was to gain a better understanding of the terms that pathologists commonly use to describe neurofibromas that involve the skin and to evaluate interobserver agreement across experienced pathologists. From this preliminary step, we will be positioned towards developing standardized language for describing all neurofibromas clinically and histopathologically, which will assist in more accurate clinical diagnosis and in the development of cNF-specific therapeutics. From this study evaluating neurofibromas in the skin, a set of terms most commonly used by pathologists for the histological classification of cNF along with areas of agreement and disagreement have been identified. The study shows that there was strong agreement across reviewers that not all neurofibromas involving the skin are cutaneous neurofibromas. Pathologists were in agreement distinguishing between cNF and plexiform neurofibromas with intraneural component involving the skin and there was also concordance regarding the presence or absence of atypical features and heterologous elements. Areas of less concordance were identified and include cNF subtypes, definition of extension and pattern of growth, as well as the distinction of a cNF from a plexiform involving the skin when an intraneural component is absent. The lack of concordance observed for cNF diagnoses with respect to subtype, based on histological analysis, was highly notable. This may reflect the absence of a universal, accepted classification scheme. Moreover, some of the terms used may have different meanings; for example, the term “diffuse” or the term “deep” may need to be better defined. This study may also point to the need for providing a list of features that should be listed when histologically evaluating a neurofibroma, with possible inclusion of a small panel of immunostains that can aid the pathologist in describing the cellular and stromal components. It is noted that this is a limited study where only 28 slides were evaluated, and so evaluation of a much larger sample set could possibly result in greater concordance. However, the advantage of this set is that the slides were prepared in an identical manner and digitized enabling the analysis of the same images by the pathologists.

Conclusion

A “baseline level” of understanding of how pathologists with different subspecialty expertise view cNFs has been obtained. Although there was agreement in the distinction between cNF and plexiform NF (with intraneural component) involving skin, and presence or absence of atypical features, there was less concordance with respect to defining cNF patterns of growth, composition, extent and histological subtypes, as well as the distinction of a cNF from a plexiform without an intraneural component involving skin. Recognition of the differences in thought conferred by the reviewing pathologists represents an important first step towards the broader goal of accurately describing each tumor type by its clinical classification (location and behavior), clinical appearance (adjective), and molecular and histological features. This work is the first step towards development of a robust classification system and devising “gold standard” histopathologic diagnostic criteria for cutaneous neurofibromas. Doing so will allow for consistent dialogue pertaining to the correlation of histological features with clinical and molecular data, eventual stratification of neurofibromas, comparisons, and trials with similar animal models, supporting development of tumor specific therapies.

Funding

This work was supported by an agreement from The Johns Hopkins University School of Medicine and the Neurofibromatosis Therapeutic Acceleration Program (NTAP). Its contents are solely the responsibilities of the authors and do not necessarily represent the official views of The Johns Hopkins University School of Medicine.
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