Literature DB >> 34178127

Clinical-dermoscopic similarities between atypical nevi and early stage melanoma.

Cristina-Raluca Jitian Mihulecea1,2, Simona Frățilă3,4, Maria Rotaru1,2,5.   

Abstract

Atypical (Clark) nevi are benign tumors that may be considered precursors of melanoma. Many studies acknowledge a linear progression from typical to atypical nevi that eventually transform into melanoma. It is often challenging to differentiate a Clark nevus from melanoma, especially in its early stages, due to their clinical, dermoscopic, and histological resemblance. Dermoscopy is a powerful tool in early melanoma diagnosis, but it is a subjective method of examination. Therefore, the use of dermoscopic algorithms and checklists can overcome this issue. In the case of a difficult diagnosis, since both dermoscopy and histopathological exam are subjective methods of examination, modern molecular biology techniques can be used to distinguish between benign and malignant tumors. This study aimed to test the accuracy of specific clinical and dermoscopic criteria in order to distinguish between benign and malignant tumors, with a secondary objective to provide an overview of the clinical and dermoscopic features of atypical nevi and melanoma. In the present study, dermoscopic algorithms did not necessarily help distinguish benign and malignant tumors but demonstrated that nevi and melanoma have similar characteristics. Copyright: © Jitian (Mihulecea) et al.

Entities:  

Keywords:  atypical nevi; dermoscopy; early diagnosis; histology; melanoma

Year:  2021        PMID: 34178127      PMCID: PMC8220634          DOI: 10.3892/etm.2021.10286

Source DB:  PubMed          Journal:  Exp Ther Med        ISSN: 1792-0981            Impact factor:   2.447


Introduction

Melanoma is one of the most aggressive skin cancers that annually claims over 20,000 lives in Europe. The eastern half of European countries report low incidence rates but have a high case fatality, increasing mortality, mostly due to a late diagnosis (1). Several studies report a possible linear progression from common to atypical nevi that eventually progress to melanoma (2). Moreover, there are two types of melanoma: De novo (DNM) and nevus-associated melanoma (3,4). Dermoscopy is a non-invasive method of examination that can be used for early melanoma diagnosis and can help differentiate between benign and malignant tumors (5). Still, it is recommended to be used as an adjuvant tool for clinical skin examination (5,6). The ‘Chaos and Clues’ algorithm is practical and easy to use (7); to date, there are few reports that use this algorithm to distinguish atypical nevi from melanoma. Atypical nevi are considered cutaneous lesions that identify individuals who are at increased risk of developing melanoma (8). They can have certain dermoscopic features regarding pattern, colors, and clues; their pattern can be typical (reticular/reticular with dots or clods), occasional (structureless hyperpigmented areas in the center and reticular at the periphery), or a combination of reticular lines with/without clods with a structureless skin-colored area (9). The standard colors of Clark nevi are a uniform light-brown or various shades of brown with hyperpigmentation (9). Polychromy can occur with multiple shades of brown or eccentric hyperpigmentation. The specific clues of atypical nevi that can help differentiate them from an early stage melanoma are the presence of reticular lines, usually thin, regular dots and clods, that can appear peripherally in an early phase of growth. Usually, in atypical nevi, the vessels are monomorphic compared to melanoma, where the vessels are irregular and polymorphous (9). In comparison to nevi, melanoma can have a chaotic dermoscopic appearance, but according to several studies, a melanoma in its early stages can be challenging to differentiate from a Clark nevus (10). Several algorithms can aid in the dermoscopic differentiation between an atypical nevus and an early melanoma, such as the ‘ABCD rule’, the Menzies method, the 7-point checklist, the 3-point checklist, ‘Chaos and clues’, and CASH (color, architecture, symmetry, homogeneity) (11,12). Each algorithm is unique, with a different sensitivity and specificity in the diagnosis of melanocytic lesions. A study conducted by Carrera et al demonstrated that the Menzies method was the most sensitive for melanoma diagnosis (95.1%) but had the lowest specificity (24.8%), while the ABCD rule algorithm had the highest specificity (59.4%) (11). This study aimed to diagnose and differentiate atypical nevi from early melanomas using specific clinical and dermoscopic criteria, including the ‘Chaos and clues’ algorithm introduced by Rosendahl et al (7).

Materials and methods

We present an observational, retrospective study of 103 melanocytic lesions dermatologically monitored between 2017 and 2019 at the Clinical Hospital and private Dermatology offices of Sibiu and Oradea County. The lesions were examined clinically, dermoscopically, and histopathologically. The data collected were related to the assessed clinical and dermoscopic features of the lesions, which were examined and revised by three evaluators. The dimensions of the tumors were measured in millimeters (mm), and the dermoscopic images were evaluated for the presence/absence of chaos and any of Rosendahl's et al (7) clues for malignancy. The colors of the lesions and clinical criteria were also recorded. As this was an observational study, it was exempted from the Ethics Committee of Sibiu's County Clinical Hospital review (Sibiu, Romania).

Statistical analysis

Data were collected and tabulated on Microsoft Excel spreadsheets for statistical analysis [calculation of the prevalence of the variables (%), the median size of the lesions, and the number of colors]. The variables are expressed in numbers and percentages to simplify the statistical process.

Results

The selected tumors were examined clinically, through dermoscopy, and a part of them were confirmed histopathologically. Out of 103 lesions, only 45.63% (47 lesions) were excised and had a histopathological exam, partly because most patients refused to have an interventional treatment and preferred to be followed-up at 3-6 months. Among the excised lesions, 70.21% (33 lesions) were atypical nevi, 14.89% (7 lesions) melanomas, and 14.89% (7 lesions) common nevi. Regarding the pathologically confirmed melanomas, the clinical and dermoscopic examinations were in accordance with the pathology reports. The majority of the melanoma subtypes was lentigo maligna melanoma (LMM) with a median Breslow index (BI) of 1.28 mm, followed by superficial spreading melanoma (SSM) with an IB of 0.5-1 mm. Two achromic melanomas (ungual and SSM) were also observed. A percentage of 48.54% of the selected lesions belonged to patients with atypical mole syndrome (AMS). Clinically, the ‘ABCD rule’ (A-asymmetry, B-border, C-color, D-diameter) was used to assess the most frequent criteria found in the histologically confirmed benign and malignant tumors. We obtained the following: The ‘E’ (100.00%) and ‘B’ (81.81%) were the most frequently encountered criteria in the population with atypical nevi (Fig. 1). All the ABCDE criteria were present in the melanoma tumors (100.00%); the criteria ‘A’, ‘B’, and ‘C’ were the most frequently encountered in the biopsied common nevi, with a percentage of 85.71%, which clinically justified the decision to biopsy them.
Figure 1

‘ABCDE rule’ criteria in atypical nevi and melanoma.

The tumors were also assessed using the ‘Chaos and clues’ algorithm and specific dermoscopy criteria to differentiate benign from malignant lesions and observe the most specific clues for atypical nevi and melanoma. First, the lesions were assessed by the ‘chaos’ (asymmetry of pattern or color) criterion, and out of 103 examined tumors, a percentage of 42.71% had a chaotic appearance and were analyzed further to see which clues of malignancy were the most detected. A percentage of 66.66% of the atypical nevi had a chaotic appearance, with a median of 2.21 out of 9 clues. The most encountered clues were polymorphous vessels (63.63%) and reticular/branched thick lines (39.39%), while less frequent were the radial lines/pseudopods, 9.09% (Fig. 2). Parallel lines, ridges (acral), or chaotic lines (nails) were not present in the atypical nevi population.
Figure 2

‘Chaos and clues’ in atypical nevi and melanoma. (A) Atypical nevus with thick lines (white arrow) and grey-blue structures (blue arrow). (B) Atypical nevus with polymorphous vessels (white circles). (C) Atypical nevus with eccentrical structure (white circle). (D) Atypical nevus with peripheral black dots. (E) Atypical nevus with pseudopods. (F) Melanoma has chaos, eccentrical black structure (white arrowhead), white lines (black arrowhead), and grey structures (white circle).

All melanoma tumors presented chaos, with a median of 4.85 out of 9 clues. The most specific clues for melanoma were polymorphous vessels, grey/blue structures, eccentric structureless area, peripheral black dots/clods (71.42%), followed by white lines, angulated lines, thick reticular/branched lines (57.14%) (Fig. 3).
Figure 3

‘Chaos and clues’ algorithm in atypical nevi and melanoma.

All atypical nevi had more than one color (median of 3.27 colors), and the most prevalent colors were: Light brown (100.00%), dark brown (96.96%), and black (57.57%). The studied dysplastic nevi had a median size of 6.46 mm. All melanomas had more than one color with a median of 5.71 colors; the most encountered colors were light and dark brown (85.71%), followed by black, white, and grey (71.42%). The median size of the melanoma tumors was 16.42 mm, most of them having a size >10 mm (85.71%) (Table I).
Table I

Size and colors of atypical nevi and melanoma.

Atypical nevi features %Melanoma features %
ColorsColors
     Blue 3.03%     Blue 57.14%
     Light brown 100.00%     Light brown 85.71%
     Dark brown 96.96%     Dark brown 85.71%
     Black 57.57%     Black 71.42%
     White 12.12%     White 71.42%
     Grey 24.24%     Grey 71.42%
     Red 24.24%     Red 42.85%
     Purple 0.00%     Purple 42.85%
     Yellow 9.09%     Yellow 28.57%
     Orange 0.00%     Orange 14.28%
     Median no. of colors 3.27     Median no. of colors 5.71
SizeSize
     <5 mm=39.39%     <5 mm=0.00%
     5-10 mm=42.42%     5-10 mm=14.28%
     >10 mm=18.18%     >10 mm=85.71%
     Median size of 6.46 mm     Median size of 16.42 mm
Total no. of lesions=33Total no. of lesions=7

no., number; mm, millimeters.

Discussion

Dermoscopy is a helpful method of examination that can improve the early diagnosis of melanoma compared to clinical examination. The ‘Chaos and clues’ algorithm was created to be applied to melanocytic lesions, and it is used to detect malignancy. According to Rosendahl et al, this algorithm has a sensitivity of 90.60% and a specificity of 62.70% for malignancy diagnosis (7). However, the lesions should first be examined through dermoscopy for chaos (asymmetry of pattern or color). When chaos is encountered, the clinician should search for at least one clue of malignancy: Grey/blue structures, eccentric structureless area, thick reticular/branched lines, peripheral black dots/clods, segmental pseudopods/radial lines, white lines, parallel lines, ridges (acral) or chaotic lines (nails), polymorphous vessels, angulated lines (polygons). If at least one clue of malignancy is present, the lesion is indicated for excision. All malignant tumors examined by dermoscopy presented ‘chaos’, similar to Ramji et al (13). The most specific melanoma criteria of the present study included polymorphous vessels, grey/blue structures, eccentric structureless areas, peripheric black dots/clods (71.42%), followed by white lines, thick reticular/branched lines, and angulated lines (57.14%). In atypical nevi, white lines were uncommon, similar to a study by Verzi et al, which reported that white streaks are highly unusual and more specific to melanomas; 31 out of 144 melanomas presented white lines (22%) (14). According to a study by Marghoob et al, white lines (structures) have a specificity of 80.6% for melanoma (2.5 to 9.7 OR) (15). Recently, the angulated lines clue was added to the original ‘Chaos and clues’ algorithm by Jaimes and coworkers, as they consider that it is a specific feature of flat melanomas on chronic-sun damaged skin (16). In the present study, angulated lines were present in 57.14% of the melanoma population and 24.24% of the atypical nevi, which demonstrates their specificity for malignant tumors. Carrera et al report that structureless areas were detected in 47.6% of the nevi examined, while in our study, we observed this criterion (eccentric structureless areas) in 30.30% of the atypical nevi, in 50.00% of the common nevi, and 71.42% of the melanoma tumors (11). A study by Lallas et al suggested that irregular hyperpigmented areas represent melanoma indicators, compared to atypical nevi (17); the same was demonstrated in our study regarding the eccentrical structureless areas. According to Rezze et al, the ‘ABCDE rule’ can be useful in the clinical diagnosis of atypical nevi (18). Clinically, our study showed that all the biopsied atypical nevi had the ‘E’ (evolution) criterion of the ‘ABCDE rule’, which outlines the importance of periodic clinical and dermoscopic examination of these lesions since many patients can be unaware of changes in their nevi. In a study by Rivers et al, 13 out of 16 patients were unaware of any change in their cutaneous lesions (8). The color and size analyses showed that melanomas present more colors (median of 3.27 colors in NA vs. 5.71 in MM) and are more prominent (median of 6.46 mm in NA vs. 16.42 mm in MM) than atypical nevi. All melanomas had more than one color, and the most encountered colors were light and dark brown (85.71%), followed by white, black, and grey (71.42%), similar to the study by Ramji et al in which the most frequent colors were light and dark brown (100 and 98%) and grey (75%) (13). Several risk factors can drive a common nevus to malignancy since there seems to be a linear progression from atypical nevi to melanoma (2). The most important risk factors are UV radiation and genetics. According to a study by Fechete et al, melanoma patients are more likely to have fair skin, freckles, a large number of nevi (over 20), atypical nevi, frequently or partially outdoor occupations, had over three sunburns during early life, or had used sun beds (19). In our study, 48.54% of the patients had multiple nevi (atypical mole syndrome). According to different studies, most melanomas develop de novo (DNM), while nevus-associated melanomas (NAM) are less frequent (3,4). Vezzoni et al report two types of NAM: Melanoma that develops in the center of a mole (probably a congenital nevus) and melanoma that arises next to the mole (dysplastic nevus) (20). In our study, three melanomas had eccentrical black pigmentation (possible melanomas developed from atypical nevi), and only one had central pigmentation (possible melanoma developed from a congenital nevus). According to Haenssle et al, patients with multiple nevi and without previous melanomas or atypical mole syndrome had a higher frequency of NAM (21). Alendar and Kittler (22) and Lin et al (23) report that survival does not differ significantly between patients with NAM and patients with DNM). On the contrary, Cymerman et al suggest that patients with DNM have a more unsatisfactory outcome than NAM patients (24). Our study’s limitations are the relatively low number of the examined tumors and the subjectivity of the clinical and dermoscopic assessment of the melanocytic lesions, which is why some results may differ from other studies. The ‘Chaos and clues’ algorithm did not necessarily help distinguish between benign and malignant tumors but helped demonstrate that nevi and melanoma have similar characteristics. Possibly, confocal laser scanning microscopy (CLSM) would have aided in establishing a prompt diagnosis, as it is known to differentiate between different skin tumors (25), but unfortunately, we do not have such equipment in our daily practice. In conclusion, all suspicious pigmented lesions with a recent change in history should be monitored carefully through clinical and dermoscopic examination. Most atypical nevi can mimic an early melanoma; that is why a highly atypical pigmented lesion should be excised after a thorough clinical and dermoscopic examination. Early detection of melanoma is critical in individuals with atypical nevi because they have an increased risk of developing melanoma compared to the general population (8). The presence of chaos/malignancy clues should lead to the excision of the assessed lesion to exclude malignancy (13). Certain authors report a linear progression of common nevi to atypical nevi that may transform into melanoma in time (2). A malignant transformation of a nevus cannot be predicted, but periodical dermoscopic follow-up can help differentiate a nevus from an early melanoma (26). It is often difficult to differentiate between atypical nevi and early melanoma through the usual examination methods (dermoscopy, histology). In this case, modern techniques of molecular biology or CLSM can be used to distinguish benign from malignant tumors (melanoma). Moreover, investigating the molecular biology of melanoma or using the CLSM could help in finding the best therapeutic approach and to possibly identify new therapies (25,27).
  25 in total

Review 1.  Dermoscopy: A Review of the Structures That Facilitate Melanoma Detection.

Authors:  Nadeem G Marghoob; Konstantinos Liopyris; Natalia Jaimes
Journal:  J Am Osteopath Assoc       Date:  2019-06-01

2.  Differentiating malignant melanoma from other lesions using dermoscopy.

Authors:  Robert Gniadecki; Ahmed Mourad
Journal:  Can Fam Physician       Date:  2019-06       Impact factor: 3.275

3.  A 10-year retrospective study of melanoma stage at diagnosis in the academic emergency hospital of Sibiu county.

Authors:  Maria Rotaru; Cristina Raluca Jitian; Gabriela Mariana Iancu
Journal:  Oncol Lett       Date:  2019-03-01       Impact factor: 2.967

4.  Clinical and dermoscopic characteristics of melanomas on nonfacial chronically sun-damaged skin.

Authors:  Natalia Jaimes; Ashfaq A Marghoob; Harold Rabinovitz; Ralph P Braun; Alan Cameron; Cliff Rosendahl; Greg Canning; Jeffrey Keir
Journal:  J Am Acad Dermatol       Date:  2015-03-29       Impact factor: 11.527

5.  De Novo vs Nevus-Associated Melanomas: Differences in Associations With Prognostic Indicators and Survival.

Authors:  Rachel M Cymerman; Yongzhao Shao; Kun Wang; Yilong Zhang; Era C Murzaku; Lauren A Penn; Iman Osman; David Polsky
Journal:  J Natl Cancer Inst       Date:  2016-05-27       Impact factor: 13.506

6.  Dermatoscopy in routine practice - 'chaos and clues'.

Authors:  Cliff Rosendahl; Alan Cameron; Ian McColl; David Wilkinson
Journal:  Aust Fam Physician       Date:  2012-07

Review 7.  Dysplastic nevus (atypical nevus).

Authors:  Gisele Gargantini Rezze; Alexandre Leon; João Duprat
Journal:  An Bras Dermatol       Date:  2010 Nov-Dec       Impact factor: 1.896

Review 8.  A meta-analysis of nevus-associated melanoma: Prevalence and practical implications.

Authors:  Riccardo Pampena; Athanassios Kyrgidis; Aimilios Lallas; Elvira Moscarella; Giuseppe Argenziano; Caterina Longo
Journal:  J Am Acad Dermatol       Date:  2017-08-29       Impact factor: 11.527

Review 9.  From melanocytes to melanomas.

Authors:  A Hunter Shain; Boris C Bastian
Journal:  Nat Rev Cancer       Date:  2016-04-29       Impact factor: 60.716

10.  Validity and Reliability of Dermoscopic Criteria Used to Differentiate Nevi From Melanoma: A Web-Based International Dermoscopy Society Study.

Authors:  Cristina Carrera; Michael A Marchetti; Stephen W Dusza; Giuseppe Argenziano; Ralph P Braun; Allan C Halpern; Natalia Jaimes; Harald J Kittler; Josep Malvehy; Scott W Menzies; Giovanni Pellacani; Susana Puig; Harold S Rabinovitz; Alon Scope; H Peter Soyer; Wilhelm Stolz; Rainer Hofmann-Wellenhof; Iris Zalaudek; Ashfaq A Marghoob
Journal:  JAMA Dermatol       Date:  2016-07-01       Impact factor: 10.282

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