Operational classification of cutaneous squamous cell carcinomas based on unsupervised clustering of real cases by experts.

BACKGROUND: There is currently no staging system for cutaneous squamous cell carcinoma (cSCC) that is adapted to decision-making and universally used. Experts have unconscious ability to simplify the heterogeneity of clinical situations into a few relevant groups to drive their therapeutic decisions. Therefore, we have used unsupervised clustering of real cases by experts to generate an operational classification of cSCCs, an approach that was successful for basal cell carcinomas. OBJECTIVE: To generate a consensual and operational classification of cSCCs. METHOD: Unsupervised independent clustering of 248 cases of cSCCs considered difficult-to-treat. Eighteen international experts from different specialties classified these cases into what they considered homogeneous clusters useful for management, each with freedom regarding clustering criteria. Convergences and divergences between clustering were analysed using a similarity matrix, the K-mean approach and the average silhouette method. Mathematical modelling was used to look for the best consensual clustering. The operability of the derived classification was validated on 23 new practitioners. RESULTS: Despite the high heterogeneity of the clinical cases, a mathematical consensus was observed. It was best represented by a partition into five clusters, which appeared a posteriori to describe different clinical scenarios. Applicability of this classification was shown by a good concordance (94%) in the allocation of cases between the new practitioners and the 18 experts. An additional group of easy-to-treat cSCC was included, resulting in a six-group final classification: easy-to-treat/complex to treat due to tumour and/or patient characteristics/multiple/locally advanced/regional disease/visceral metastases. CONCLUSION: Given the methodology based on the convergence of unguided intuitive clustering of cases by experts, this new classification is relevant for clinical practice. It does not compete with staging systems, but they may complement each other, whether the objective is to select the best therapeutic approach in tumour boards or to design homogeneous groups for trials.

Intralesional photodynamic therapy induces apoptosis in basal cell carcinoma and Bowen's disease through caspase 3 and granzyme B.

BACKGROUND: Photodynamic therapy (PDT) is used to treat cutaneous cancers. It may induce cell death through direct and indirect means, including apoptosis, inflammation and certain immune mechanisms, with the depth of penetration as a potential modifying factor. OBJECTIVES: To examine the pathways of apoptosis in the intralesional PDT of basal cell carcinoma (BCC) and intraepidermal squamous cell carcinoma (Bowen's disease). METHODS: Sixteen patients with superficial or nodular BCC and Bowen's disease were treated with intralesional aminolevulinic acid-PDT. Biopsies were taken at baseline and 24 h post-PDT, and sections were examined by immunohistochemistry for the expression of markers of apoptosis, such as caspase 3, involved in the intrinsic apoptotic pathway, granzyme B, a caspase-independent apoptotic mediator, and the proapoptotic markers BAX and BAK. RESULTS: Apoptotic cells stained with TUNEL showed statistically significant staining at 24 h post PDT (p < 0.01 in both BCC and Bowen's lesions). Caspase 3 (p < 0.01 in BCC and p < 0.05 in Bowen's) and granzyme B (p < 0.01 in BCC and p < 0.01 in Bowen's) were significantly increased at 24 h post-PDT. BAX expression was apparently increased compared to baseline in Bowen's lesions at 24 h post-PDT, whereas Bak was upregulated both in BCC and Bowen's disease at baseline and at 24 h post-PDT. CONCLUSION: Intralesional PDT induces apoptosis in BCC and Bowen's disease via common and alternative apoptotic pathways involving granzyme B. Proapoptotic factors Bak in both BCC and Bowen and Bax in Bowen's disease appear to increase by intralesional PDT at 24 h.

Online prediction tools for melanoma survival: A comparison.

BACKGROUND: Breslow thickness, patient age and ulceration are the three most valuable clinical and pathological predictors of melanoma survival. A readily available reliable online tool that accurately considers these and other predictors could be valuable for clinicians managing melanoma patients. OBJECTIVE: To compare online melanoma survival prediction tools that request user input on clinical and pathological features. METHODS: Search engines were used to identify available predictive nomograms. For each, clinical and pathological predictors were compared. RESULTS: Three tools were identified. The American Joint Committee on Cancer tool inappropriately rated thin tumours as higher risk than intermediate tumours. The University of Louisville tool was found to have six shortcomings: a requirement for sentinel node biopsy, unavailable input of thin melanoma or patients over 70 years of age and less reliable hazard ratio calculations for age, ulceration and tumour thickness. The LifeMath.net tool was found to appropriately consider tumour thickness, ulceration, age, sex, site and tumour subtype in predicting survival. LIMITATIONS: The authors did not have access to the base data used to compile various prediction tools. CONCLUSION: The LifeMath.net prediction tool is the most reliable for clinicians in counselling patients with newly diagnosed primary cutaneous melanoma regarding their survival prospects.

The peculiar dermatoscopic pattern of scalp melanoma.

BACKGROUND: Melanomas developing on anatomic sites other than the trunk and extremities have a special pathogenetic and mutational profile, morphologic characteristics and biologic behaviour. OBJECTIVE: By retrospectively screening the databases of our centres, we aimed to investigate the dermatoscopic morphology of early scalp melanoma, including in situ and invasive tumours with a Breslow thickness up to 1 mm. METHODS: The databases of three specialized centres for skin cancer diagnosis and management in Greece were retrospectively evaluated to retrieve dermatoscopic images of scalp melanomas. Patients' age and sex were recorded, as well as the precise location of the tumour, using 6 possible sub-locations: frontal, parietal, occipital, temporal, nuchal scalp and vertex. The dermatoscopic images were evaluated by 3 independent investigators for the presence of pre-defined criteria. The dermatoscopic criteria included in the evaluation were selected based on available literature and were categorized in 2 groups: 'classic melanoma criteria' and 'lentigo maligna (LM) criteria'. RESULTS: Of 38 melanomas, 37 (97.4%) displayed brown colour and 23 (60.5%) displayed additional grey or blue colour. The most frequent dermatoscopic criteria were regression (18/38, 47.4%), grey dots/globules (17/38, 44.7%), atypical network (16/38, 42.1%), obliterated follicles (16/38, 42.1%) and angulated lines (15/38, 39.5%). Of 38 melanomas, 28 (73.7%) displayed at least 1 classic melanoma criterion plus at least 1 LM criterion. Of the remaining melanomas, 8 (21.1%) displayed only classic melanoma criteria, 1 (2.6%) only LM criteria and 1 (2.6%) did not exhibit any of the evaluated criteria. CONCLUSIONS: This study demonstrates that early scalp melanoma combines classic with LM criteria in terms of colours and structures.

Clinical and dermatoscopic predictors of squamous cell carcinoma of the lips: a case-control, multicentric study.

BACKGROUND: Squamous cell carcinoma of the lip accounts for 20% of all oral carcinomas. Its diagnosis may be challenging because it clinically resembles actinic cheilitis and inflammatory lesions of the lips. OBJECTIVES: To determine clinical and dermatoscopic predictors of squamous cell carcinoma of the lip vs. other lip lesions. METHODS: Multicentre retrospective morphological study, including histologically confirmed cases of squamous cell carcinoma of the lip and controls consisting of actinic cheilitis and inflammatory lesions of the lips. Clinical and dermatoscopic images were evaluated for the presence of predefined criteria. Crude and adjusted odds ratios and corresponding 95% confidence intervals were calculated by univariate and multivariate logistic regression respectively. RESULTS: A total of 177 lip lesions were evaluated, 107 (60.5%) were squamous cell carcinomas and 70 (39.5%) were controls. The most frequent dermatoscopic criteria of lip squamous cell carcinoma were scales (100%), white halos (87.3%) and ulceration (79.4%). The majority of squamous cell carcinomas displayed polymorphic vessels (60.8%), with linear (68.6%) and hairpin (67.6%) being the most frequent types. Multivariate logistic regression analysis showed that clinical predictors of lip squamous cell carcinoma were exophytic appearance and clinical hyperkeratosis, with 43-fold and 6-fold higher probability respectively. White clods and ulceration in dermoscopy presented a 6-fold and 4-fold increased risk for squamous cell carcinoma respectively. CONCLUSIONS: A scaly lesion with exophytic growth, dermatoscopically displaying white clods, ulceration and linear and hairpin vessels is very likely a squamous cell carcinoma of the lip.

Dermoscopic spectrum of mycosis fungoides: a retrospective observational study by the International Dermoscopy Society.

BACKGROUND: The dermoscopic features of classic patch stage mycosis fungoides (MF) have been described, but data on plaque and tumoral stage as well as rarer MF subtypes is limited. OBJECTIVE: To evaluate dermoscopic morphology and dermoscopic-pathological correlations of classic MF stages and investigate dermoscopic features of MF variants. METHODS: Patients with histopathologically confirmed lesions of classic MF (patch, plaque and tumoral stage) or folliculotropic, erythrodermic and poikilodermatous MF were included. Standardized evaluation of dermoscopic pictures of the included MF variants and comparative analysis and dermoscopic-pathological correlation assessment of different stages of classic MF were performed. RESULTS: A total of 118 instances were included (75 classic MF, 26 folliculotropic MF, 9 erythrodermic MF and 8 poikilodermatous MF). Linear/linear-curved vessels and white scales in the skin furrows were significantly associated with patch-stage MF, while clustered dotted vessels were related to plaque-stage MF and peripheral linear vessels with branches, ulceration and red globules separated by white lines to tumour-stage MF. Moreover, patchy white scales were significantly more common in patches and plaques compared to tumours, whereas focal bright white structureless areas were related to plaque and tumoral stage. Vessels histopathologically corresponded to dilated vascular structures in the dermis, orange structureless areas to either dermal hemosiderin (patch/plaque stage) or dense cellular infiltration (tumours), bright white lines/structureless areas to dermal fibrosis and ulceration to loss of epidermis. The main dermoscopic findings of folliculotropic MF were lack of hairs, dilated follicles and follicular plugs, while erythrodermic MF was mainly characterized by linear/dotted vessels, patchy white scales and focal orange structureless areas and poikilodermatous MF by focal white and brown structureless areas, white patchy scales and brown reticular lines. CONCLUSION: Dermoscopy may allow a more precise characterization of classic MF and reveal clues suggestive of the main MF variants.

Not all melanomas are created equal: a review and call for more research into nodular melanoma.

Among the histogenic subtypes of melanoma, nodular melanoma (NM) is the major contributor for thicker and fatal melanomas and it has been associated with melanoma-specific death in thin tumours, highlighting an important subgroup of 'aggressive thin' melanomas. This review provides a synthesis of the distinct characteristics of NM, with respect to epidemiology and risk factors, clinical presentation, histopathology, molecular and dermoscopic aspects, and screening practices. The real challenges are to find better biomarkers of aggressiveness and to know whether the control of such aggressive melanomas can be influenced by targeted interventions such as early detection, drug interventions and preventive strategies.

Is apremilast for psoriasis as effective and safe as reported in clinical trials? Five-year experience from a Greek tertiary hospital: long-term real-life efficacy and safety of apremilast in Greece.

Apremilast has been approved as an effective and safe treatment for psoriasis, but clinical trial results may differ from real-life data. This retrospective cross-sectional study evaluated the long-term efficacy and safety of apremilast in a Greek cohort of adult patients with psoriasis who had received at least one dose of apremilast between March 2016 and January 2021. The primary endpoint was the percentage of patients who achieved 75% reduction in Psoriasis Area Severity Index (PASI75) at Week 16. Absolute PASI, PASI90 (90% reduction) and adverse events were also recorded at various timepoints. In total, 102 patients (29.4% women, 70.6% men) with a mean ± SD age 55.94 ± 15.21 years were included. PASI75 and PASI90 were achieved by 20.8% and 1.98% of patients, respectively, at Week 16. According to our results, PASI90 achievement was significantly lower than that reported in clinical trials. The efficacy of apremilast increased gradually until Week 24, with further improvement noted in good responders up to Week 52.

Dermatoscopy of combined blue nevi: a multicentre study of the International Dermoscopy Society.

BACKGROUND: Combined blue nevi (CBN) may mimic melanoma and are relatively often biopsied for diagnostic reasons. OBJECTIVE: To better characterize CBN and to compare it with melanoma. METHODS: We collected clinical and dermatoscopic images of 111 histologically confirmed CBN and contrasted their dermatoscopic characteristics with 132 partly blue coloured melanomas. Furthermore, we compared the accuracy of human experts using pattern analysis with a computer algorithm based on deep learning. RESULTS: Combined blue nevi are usually flat or slightly elevated and, in comparison with melanoma, more frequent on the head and neck. Dermatoscopically, they are typified by a blue structureless part in combination with either brown clods (n = 52, 46.8%), lines (n = 28, 25.2%) or skin-coloured or brown structureless areas (n = 31, 27.9%). In contrast with melanoma, the blue part of CBN is more often well defined (18.9% vs. 4.5%, P < 0.001) and more often located in the centre (22.5% vs. 5.3%, P < 0.001). Melanomas are more often chaotic (OR: 28.7, 95% CI: 14.8-55.7, P < 0.001), have at least one melanoma clue (OR: 10.8, 95% CI: 5.2-22.2 P < 0.001) in particular white lines (OR: 37.1, 95% CI: 13.4-102.9, P < 0.001). Using simplified pattern analysis (chaos and clues), two raters reached sensitivities of 93.9% (95% CI: 88.4-97.3%) and 92.4% (95% CI: 86.5-96.3%) at corresponding specificities of 59.5% (95% CI: 49.7-68.7%) and 65.8% (95% CI: 56.2-74.5%). The human accuracy with pattern analysis was on par with a state-of-the-art computer algorithm based on deep learning that achieved an area under the curve of (0.92, 95% CI: 0.87-0.96) and a specificity of 85.3% (95% CI: 76.5-91.7%) at a given sensitivity of 83.6% (95% CI: 72.5-91.5%). CONCLUSION: CBN usually lack melanoma clues, in particular white lines. The accuracy of pattern analysis for combined nevi is acceptable, and histopathologic confirmation may not be necessary in exemplary cases.

The impact of anatomical location and sun exposure on the dermoscopic recognition of atypical nevi and early melanomas: usefulness of an integrated clinical-dermoscopic method (iDScore).

BACKGROUND: The anatomical location of atypical melanocytic skin lesion (aMSL) was never combined into an algorithm for discriminating early melanomas (EM) from atypical nevi (AN). AIMS: To investigate the impact of body location on the intuitive diagnosis performed in teledermoscopy by dermatologists of different skill levels. A further aim was to evaluate how the integration of the body location could improve an algorithm-aided diagnosis. METHODS: We retrospectively collected 980 standardized dermoscopic images of aMSL cases (663 AN, 317 EM): data on the anatomical location were collected according to 15 body sites classified into 4 macro-areas of chronically/frequently/seldom/rarely exposure. Through a teledermatology web platform, 111 variously skilled dermoscopists performed either the intuitive diagnosis and 3 algorithm-assisted diagnostic tests (i.e. iDScore, 7-point checklist, ABCD rule) on each case, for a total of 3330 examinations. RESULTS: In the rarely photoexposed area (side, bottom, abdomen), AN were the most tricky (i.e. highest quote of false positives), due to a frequent recognition of dermoscopic features usually considered as suggestive for melanoma in these lesions; the EM at these sites received the highest quote of false negatives, being generally interpreted as 'featureless' according to these traditional parameters, that were more frequently displayed on the chronically photoexposed area. In rarely and seldom photoexposed area, intuitive diagnosis fails to achieve adequate accuracy for all aMSLs, as the ABCD rule and the 7-point checklist; by applying the iDScore algorithm the diagnostic performance was increased by 15% in young and 17% in experts. CONCLUSIONS: The body location of an aMSL can affect the quality of intuitive dermoscopic diagnosis, especially in sun-protected areas. Accuracy can be improved by using the iDScore algorithm that assigns a different partial score of each body site.

Which medical disciplines diagnose and treat melanoma in Europe in 2019? A survey of experts from melanoma centres in 27 European countries.

BACKGROUND AND OBJECTIVES: The incidence of melanoma is increasing. This places significant burden on societies to provide efficient cancer care. The European Cancer Organisation recently published the essential requirements for quality melanoma care. The present study is aimed for the first time to roughly estimate the extent to which these requirements have been met in Europe. MATERIALS AND METHODS: A web-based survey of experts from melanoma centres in 27 European countries was conducted from 1 February to 1 August 2019. Data on diagnostic techniques, surgical and medical treatment, organization of cancer care and education were collected and correlated with national health and economic indicators and mortality-to-incidence ratio (MIR) as a surrogate for survival. Univariate linear regression analysis was performed to evaluate the correlations. SPSS software was used. Statistical significance was set at P < 0.05. RESULTS: The MIR was lower in countries with a high health expenditure per capita and with a higher numbers of general practitioners (GPs) and surgeons (SURG) per million inhabitants. In these countries, GPs and dermatologists (DER) were involved in melanoma detection; high percentage of DER used dermatoscopy and were involved in the follow-up of all melanoma stages; both medical oncologists (ONC) and dermato-oncologists administered systemic treatments; and patients had better access to sentinel lymph node biopsy and were treated within multidisciplinary tumour boards. CONCLUSION: Based on these first estimates, the greater involvement of GPs in melanoma detection; the greater involvement of highly trained DER in dermatoscopy, dermatosurgery, follow-up and the systemic treatment of melanoma; and the provision of ongoing dermato-oncology training for pathologists, SURG, DER and ONC are necessary to provide an optimal melanoma care pathway. A comprehensive analysis of the melanoma care pathway based on clinical melanoma registries will be needed to more accurately evaluate these first insights.

Man against machine reloaded: performance of a market-approved convolutional neural network in classifying a broad spectrum of skin lesions in comparison with 96 dermatologists working under less artificial conditions.

BACKGROUND: Convolutional neural networks (CNNs) efficiently differentiate skin lesions by image analysis. Studies comparing a market-approved CNN in a broad range of diagnoses to dermatologists working under less artificial conditions are lacking. MATERIALS AND METHODS: One hundred cases of pigmented/non-pigmented skin cancers and benign lesions were used for a two-level reader study in 96 dermatologists (level I: dermoscopy only; level II: clinical close-up images, dermoscopy, and textual information). Additionally, dermoscopic images were classified by a CNN approved for the European market as a medical device (Moleanalyzer Pro, FotoFinder Systems, Bad Birnbach, Germany). Primary endpoints were the sensitivity and specificity of the CNN's dichotomous classification in comparison with the dermatologists' management decisions. Secondary endpoints included the dermatologists' diagnostic decisions, their performance according to their level of experience, and the CNN's area under the curve (AUC) of receiver operating characteristics (ROC). RESULTS: The CNN revealed a sensitivity, specificity, and ROC AUC with corresponding 95% confidence intervals (CI) of 95.0% (95% CI 83.5% to 98.6%), 76.7% (95% CI 64.6% to 85.6%), and 0.918 (95% CI 0.866-0.970), respectively. In level I, the dermatologists' management decisions showed a mean sensitivity and specificity of 89.0% (95% CI 87.4% to 90.6%) and 80.7% (95% CI 78.8% to 82.6%). With level II information, the sensitivity significantly improved to 94.1% (95% CI 93.1% to 95.1%; P < 0.001), while the specificity remained unchanged at 80.4% (95% CI 78.4% to 82.4%; P = 0.97). When fixing the CNN's specificity at the mean specificity of the dermatologists' management decision in level II (80.4%), the CNN's sensitivity was almost equal to that of human raters, at 95% (95% CI 83.5% to 98.6%) versus 94.1% (95% CI 93.1% to 95.1%); P = 0.1. In contrast, dermatologists were outperformed by the CNN in their level I management decisions and level I and II diagnostic decisions. More experienced dermatologists frequently surpassed the CNN's performance. CONCLUSIONS: Under less artificial conditions and in a broader spectrum of diagnoses, the CNN and most dermatologists performed on the same level. Dermatologists are trained to integrate information from a range of sources rendering comparative studies that are solely based on one single case image inadequate.

Standardization of dermoscopic terminology and basic dermoscopic parameters to evaluate in general dermatology (non-neoplastic dermatoses): an expert consensus on behalf of the International Dermoscopy Society.

BACKGROUND: Over the last few years, several articles on dermoscopy of non-neoplastic dermatoses have been published, yet there is poor consistency in the terminology among different studies. OBJECTIVES: We aimed to standardize the dermoscopic terminology and identify basic parameters to evaluate in non-neoplastic dermatoses through an expert consensus. METHODS: The modified Delphi method was followed, with two phases: (i) identification of a list of possible items based on a systematic literature review and (ii) selection of parameters by a panel of experts through a three-step iterative procedure (blinded e-mail interaction in rounds 1 and 3 and a face-to-face meeting in round 2). Initial panellists were recruited via e-mail from all over the world based on their expertise on dermoscopy of non-neoplastic dermatoses. RESULTS: Twenty-four international experts took part in all rounds of the consensus and 13 further international participants were also involved in round 2. Five standardized basic parameters were identified: (i) vessels (including morphology and distribution); (ii) scales (including colour and distribution); (iii) follicular findings; (iv) 'other structures' (including colour and morphology); and (v) 'specific clues'. For each of them, possible variables were selected, with a total of 31 different subitems reaching agreement at the end of the consensus (all of the 29 proposed initially plus two more added in the course of the consensus procedure). CONCLUSIONS: This expert consensus provides a set of standardized basic dermoscopic parameters to follow when evaluating inflammatory, infiltrative and infectious dermatoses. This tool, if adopted by clinicians and researchers in this field, is likely to enhance the reproducibility and comparability of existing and future research findings and uniformly expand the universal knowledge on dermoscopy in general dermatology. What's already known about this topic? Over the last few years, several papers have been published attempting to describe the dermoscopic features of non-neoplastic dermatoses, yet there is poor consistency in the terminology among different studies. What does this study add? The present expert consensus provides a set of standardized basic dermoscopic parameters to follow when evaluating inflammatory, infiltrative and infectious dermatoses. This consensus should enhance the reproducibility and comparability of existing and future research findings and uniformly expand the universal knowledge on dermoscopy in general dermatology.

Adjuvant therapy for cutaneous melanoma: a systematic review and network meta-analysis of new therapies.

New drugs have been recently approved as adjuvant therapies for melanoma. In this Bayesian network meta-analysis, we aimed to assess the best therapeutic option in terms of recurrence-free survival (RFS), overall survival (OS) and adverse events (AEs). PubMed, Embase, Cochrane library and the American Society of Clinical Oncology databases were searched from inception until 20 August 2018. We estimated adjusted hazard ratios (HRs) for RFS and OS and relative odds ratios (ORs) for AEs and surface under the cumulative ranking (SUCRA) probabilities were calculated. A number of 872 records were identified, and six were finally included in the meta-analysis. A total of 4244 patients in six studies were randomized. The following therapies were considered in the selected studies: combined dabrafenib and trametinib, vemurafenib, nivolumab, ipilimumab and pembrolizumab. Nivolumab demonstrated the highest probability (75.1%) of being the best in term of RFS, followed by dabrafenib+trametinib, pembrolizumab, ipilimumab and vemurafenib; however, OS was not estimable. Concerning AEs, pembrolizumab and nivolumab showed the highest probability to be less associated with any and 3-4 grade AEs (83.1% and 64.4%, respectively). In conclusion, all new drugs are highly effective in adjuvant setting, and the best choice is dependent of patient's context.

'Inverse association between the total naevus count and melanoma thickness'.

BACKGROUND: Individuals with a high total naevus count (TNC) are at a higher risk to develop melanoma, and screening efforts have been largely focused on this group. However, some studies suggest that melanomas of patients with many nevi are thinner than those of patients with few nevi. Additionally, nodular melanoma has been associated with individuals with a low naevus count. OBJECTIVE: To investigate the association between TNC and melanoma Breslow thickness. METHODS: A two-centre retrospective study from 1 January 2016 to 1 January 2018. This included three hundred and twenty-six consecutive melanoma patients from two tertiary melanoma centres. The mean age at presentation was 58.3 years (SD = 15.9), and the majority (54.9%, N = 179) were men. Incidence of new in situ and invasive melanomas and correlation with TNC were measured. RESULTS: The mean total naevus count for patients presenting with in situ melanoma was 57.2 (range 4-178), while for patients presenting with invasive disease was 31.5 (P = 0.01). In situ disease was associated with a higher TNC across all ages. For invasive melanoma, a positive association between age and Breslow thickness was observed, while TNC was inversely associated with Breslow thickness. Each additional naevus accounted for a 4% decreased likelihood that the subject had invasive disease. CONCLUSION: Patients with a higher naevus count had thinner melanomas and more melanomas in situ, independent of age and sex.

Minimizing the dermatoscopic morphologic overlap between basal and squamous cell carcinoma: a retrospective analysis of initially misclassified tumours.

BACKGROUND: Basal cell carcinoma (BCC) and squamous cell carcinoma (SCC) have well-established dermatoscopic criteria that make them relatively easy to recognize on a clinical basis. However, even with the addition of dermatoscopy, a morphologic overlap between the two tumours does exist. OBJECTIVES: To analyse the dermatoscopic morphology of clinically and dermatoscopically misclassified BCCs and SCCs, to identify factors causing the erroneous clinical interpretation and, therefore, minimize the morphologic overlap between BCC and SCC. METHODS: Retrospective study including histopathologically diagnosed BCCs or SCCs that had been clinically inversely diagnosed. Their dermatoscopic images were blindly evaluated for the presence of predefined criteria. Descriptive statistics were performed and univariate and multivariate predictors were calculated. RESULTS: A total of 68 cases were included, 41 of which were BCCs and 27 SCCs. Most tumours in both groups were non-pigmented, ulcerated and displayed a polymorphous vascular pattern. The presence of erosions was positively associated to BCC (5.2-fold higher odds, P = 0.05), whereas scales/keratin masses were positively associated to SCC (3.7-fold higher odds, P = 0.07), although marginally not statistically significant. CONCLUSIONS: Clinically misclassified BCCs and SCCs are usually non-pigmented ulcerated tumours. Erosions and keratin masses/scales are more robust criteria as compared to vascular structures for the differential diagnosis between BCC and SCC.

The presence of eccentric hyperpigmentation should raise the suspicion of melanoma.

BACKGROUND: Melanocytic lesions with eccentric hyperpigmentation (EH), even though without other dermatoscopic features of melanoma, are often excised. OBJECTIVE: Aiming to understand whether the EH in a pigmented lesion is an accurate criterion of malignancy, we evaluated the capability of two evaluators, with different expertise, to correctly diagnose a melanoma when analysing a given lesion in toto versus a partial analysis, with only the EH or the non-hyperpigmented portion (non-EH) visible. METHODS: Dermatoscopic images of 240 lesions (107 melanomas and 133 nevi) typified by EH were selected. Facial, acral, mucosal lesions and lesions showing clear-cut features of melanoma (except for atypical network) were excluded. Clinical and dermoscopic features (main pattern and numbers of colours) were described for all cases. Each image was split in two through a software so that only the EH or the non-EH was visible. Two blinded evaluators examined three sets of images, two with customized images and one with the non-modified ones: they were asked to give a dichotomous diagnosis (melanoma or nevus) for each image. RESULTS: Melanomas were significantly more frequently typified by colour variegation (3 colours in 44.8% and 4 colours in 41.1% of cases) and atypical network (88.1% in the EH). No significant differences in diagnostic accuracy emerged between the two evaluators. Sensitivity improved in the evaluation of the whole lesions (mean sensitivity 89.7%) in comparison with the evaluation of EH or non-EH alone (72.7-62.6%). Specificity increased when evaluating the EH (54.1%). Positive predictive value (PPV) and likelihood ratio (LR+) of EH resulted 52.3% and 1.4, meaning that in one case out of two with EH is a melanoma. CONCLUSIONS: Lesions with EH are challenging, regardless of dermoscopic experience. The EH is a robust criterion for malignancy, since the evaluation of the whole lesion, through an intralesional comparative approach, increases sensitivity.

Validation of an integrated dermoscopic scoring method in an European teledermoscopy web platform: the iDScore project for early detection of melanoma.

BACKGROUND: Although live and teledermoscopic examination has been successfully used to achieve non-invasive diagnosis of melanocytic skin lesions (MSLs), early melanoma (EM) and atypical nevi (AN) continue to be a challenge, and none of the various algorithms proposed have been sufficiently accurate. We designed a scoring classifier diagnostic method, the iDScore that combines clinical data of the patient with dermoscopic features of the MSL. OBJECTIVE: To test the accuracy of the iDScore in differentiating EM from AN in a teledermoscopy setting and to compare it with intuitive diagnosis, the ABCD rule and the seven-point checklist. MATERIALS AND METHODS: A dedicated teledermoscopy web platform was designed. This involved the following: (i) collecting a large integrated clinical-historical-dermoscopic data set of difficult MSLs from eight European dermatology centres; (ii) online testing, education and training in using the iDScore. A total of 904 images were combined with age, sex, lesion diameter and body site data and evaluated on the platform by 111 participants with four levels of skill in dermoscopy. Each testing session consisted of 30 blind cases to examine consecutively by the above four methods. 'Management decisions' and personal participant data were also recorded. RESULTS: iDScore-aided diagnosis achieved satisfactory diagnostic accuracy for all lesions, irrespective of centre of affiliation, showing an average AUC of 0.776 in all participant testing sessions. All skill groups improved their accuracy by 10-16% with respect to intuitive diagnosis and the other methods, showing high concordance and avoiding wrong management decisions. CONCLUSION: We demonstrated the validity of the iDScore method for managing suspicious MSLs in a large multicentric data set and a teledermoscopic setting. The platform designed for the iDScore project provides ready support for physicians of any dermoscopy skill level and is useful for education and training.

Human surface anatomy terminology for dermatology: a Delphi consensus from the International Skin Imaging Collaboration.

BACKGROUND: There is no internationally vetted set of anatomic terms to describe human surface anatomy. OBJECTIVE: To establish expert consensus on a standardized set of terms that describe clinically relevant human surface anatomy. METHODS: We conducted a Delphi consensus on surface anatomy terminology between July 2017 and July 2019. The initial survey included 385 anatomic terms, organized in seven levels of hierarchy. If agreement exceeded the 75% established threshold, the term was considered 'accepted' and included in the final list. Terms added by the participants were passed on to the next round of consensus. Terms with <75% agreement were included in subsequent surveys along with alternative terms proposed by participants until agreement was reached on all terms. RESULTS: The Delphi included 21 participants. We found consensus (≥75% agreement) on 361/385 (93.8%) terms and eliminated one term in the first round. Of 49 new terms suggested by participants, 45 were added via consensus. To adjust for a recently published International Classification of Diseases-Surface Topography list of terms, a third survey including 111 discrepant terms was sent to participants. Finally, a total of 513 terms reached agreement via the Delphi method. CONCLUSIONS: We have established a set of 513 clinically relevant terms for denoting human surface anatomy, towards the use of standardized terminology in dermatologic documentation.

Dermatoscopic features of thin (≤2 mm Breslow thickness) vs. thick (>2 mm Breslow thickness) nodular melanoma and predictors of nodular melanoma versus nodular non-melanoma tumours: a multicentric collaborative study by the International Dermoscopy Society.

BACKGROUND: Thin nodular melanoma (NM) often lacks conspicuous melanoma-specific dermatoscopic criteria and escapes clinical detection until it progresses to a thicker and more advanced tumour. OBJECTIVE: To investigate the dermatoscopic morphology of thin (≤2 mm Breslow thickness) vs. thick (>2 mm) NM and to identify dermatoscopic predictors of its differential diagnosis from other nodular tumours. METHODS: Retrospective, morphological case-control study, conducted on behalf of the International Dermoscopy Society. Dermatoscopic images of NM and other nodular tumours from 19 skin cancer centres worldwide were collected and analysed. RESULTS: Overall, 254 tumours were collected (69 NM of Breslow thickness ≤2 mm, 96 NM >2 mm and 89 non-melanoma nodular lesions). Light brown coloration (50.7%) and irregular brown dots/globules (42.0%) were most frequently observed in ≤2 mm NMs. Multivariate analysis revealed that dotted vessels (3.4-fold), white shiny streaks (2.9-fold) and irregular blue structureless area (2.4-fold) were predictors for thinner NM compared to non-melanoma nodular tumours. Overall, irregular blue structureless area (3.4-fold), dotted vessels (4.6-fold) and serpentine vessels (1.9-fold) were predictors of all NM compared to non-melanoma nodular lesions. LIMITATIONS: Absence of a centralized, consensus pathology review and cases selected form tertiary centres maybe not reflecting the broader community. CONCLUSIONS: Our study sheds light into the dermatoscopic morphology of thin NM in comparison to thicker NM and could provide useful clues for its differential diagnosis from other non-melanoma nodular tumours.