Clinical techniques in veterinary dermatology: Dermoscopy.

Dermoscopy is a noninvasive, painless, easy-to-perform technique used in human and veterinary medicine for rapid and magnified in vivo observation of dermatological lesions and disease. Dermoscopy can lead to a swifter diagnosis and may eliminate the need to perform more invasive diagnostic testing such as skin biopsies. To perform dermoscopy, the clinician needs a dermoscope and a software program equipped with image capture for pattern identification. Two techniques exist for dermoscopy: standard contact, where the dermoscope is applied directly to the patient's skin with the use of a liquid interface, or noncontact, where there is no direct contact between the skin and the dermoscope. The most important criteria to be considered when using dermoscopy are the morphology/arrangement of vascular structures, scaling patterns, colours, follicular abnormalities and specific disease features. Application of dermoscopic findings should always be correlated with the patient's history, clinical signs and the morphology of the skin lesions. Dermoscopy does require an initial financial and time investment by the clinician, yet this technique can quickly and easily help to identify patterns of disease that correlate with clinical diagnosis of dermatological disease.

La dermoscopie est une technique non invasive, indolore et facile à réaliser utilisée en médecine humaine et vétérinaire pour l'observation in vivo rapide et agrandie des lésions et maladies dermatologiques. La dermoscopie peut conduire à un diagnostic plus rapide et peut éliminer la nécessité d'effectuer des tests de diagnostic plus invasifs tels que des biopsies cutanées. Pour effectuer une dermoscopie, le clinicien a besoin d'un dermoscope et d'un logiciel équipé d'une capture d'image pour l'identification des motifs. Deux techniques existent pour la dermoscopie : contact standard, où le dermoscope est appliqué directement sur la peau du patient à l'aide d'une interface liquide, ou sans contact, où il n'y a pas de contact direct entre la peau et le dermoscope. Les critères les plus importants à prendre en compte lors de l'utilisation de la dermoscopie sont la morphologie/l'arrangement des structures vasculaires, les schémas de desquamation, les couleurs, les anomalies folliculaires et les caractéristiques spécifiques de la maladie. L'application des résultats dermoscopiques doit toujours être corrélée avec les antécédents du patient, les signes cliniques et la morphologie des lésions cutanées. La dermoscopie nécessite un investissement initial en argent et en temps de la part du clinicien, mais cette technique peut rapidement et facilement aider à identifier les schémas de la maladie en corrélation avec le diagnostic clinique de la maladie dermatologique.

La dermatoscopia es una técnica no invasiva, indolora y fácil de realizar utilizada en medicina humana y veterinaria para la observación in vivo rápida y ampliada de lesiones y enfermedades dermatológicas. La dermatoscopia puede conducir a un diagnóstico más rápido y puede eliminar la necesidad de realizar pruebas de diagnóstico más invasivas, como biopsias de piel. Para realizar la dermatoscopia, el clínico necesita un dermatoscopio y un programa de software equipado con captura de imágenes para la identificación de patrones. Existen dos técnicas para la dermatoscopia: contacto estándar, donde el dermatoscopio se aplica directamente a la piel del paciente con el uso de una interfase líquida, o sin contacto, donde no hay contacto directo entre la piel y el dermatoscopio. Los criterios más importantes que deben tenerse en cuenta al utilizar la dermatoscopia son la morfología/disposición de las estructuras vasculares, los patrones de descamación, los colores, las anomalías foliculares y las características específicas de la enfermedad. La aplicación de los hallazgos dermatoscópicos siempre debe correlacionarse con la historia del paciente, los signos clínicos y la morfología de las lesiones cutáneas. La dermatoscopia requiere una inversión financiera y de tiempo inicial por parte del médico, pero esta técnica puede ayudar rápida y fácilmente a identificar patrones de enfermedad que se correlacionan con el diagnóstico clínico de la enfermedad dermatológica.

A dermatoscopia é uma técnica não invasiva, indolor e de fácil execução utilizada na medicina humana e veterinária para observação in vivo rápida e ampliada de lesões e doenças dermatológicas. A dermatoscopia pode levar a um diagnóstico mais rápido e pode eliminar a necessidade de realizar testes diagnósticos mais invasivos, como biópsias de pele. Para realizar a dermatoscopia, o clínico precisa de um dermatoscópio e um programa de software equipado com captura de imagem para identificação do padrão. Existem duas técnicas de dermatoscopia: contato padrão, onde o dermatoscópio é aplicado diretamente na pele do paciente com o uso de uma interface líquida, ou sem contato, onde não há contato direto entre a pele e o dermatoscópio. Os critérios mais importantes a serem considerados ao utilizar a dermatoscopia são a morfologia/arranjo das estruturas vasculares, padrões de descamação, cores, anormalidades foliculares e características específicas da doença. A aplicação dos achados dermatoscópicos deve sempre ser correlacionada com a história do paciente, os sinais clínicos e a morfologia das lesões cutâneas. A dermatoscopia requer um investimento inicial financeiro e de tempo por parte do clínico, mas esta técnica pode ajudar rápida e facilmente a identificar padrões de doenças que se correlacionam com o diagnóstico clínico de doenças dermatológicas.

Development of a Checklist Tool to Assess the Quality of Skin Lesion Images Acquired by Consumers Using Sequential Mobile Teledermoscopy.

BACKGROUND: Mobile teledermoscopy is an emerging technology that involves imaging and digitally sending dermoscopic images of skin lesions to a clinician for assessment. High-quality, consistent images are required for accurate telediagnoses when monitoring lesions over time. To date there are no tools to assess the quality of sequential images taken by consumers using mobile teledermoscopy. The purpose of this study was to develop a tool to assess the quality of images acquired by consumers. METHODS: Participants imaged skin lesions that they felt were concerning at baseline, 1-, and 2-months. A checklist to assess the quality of consumer sequential imaging of skin lesions was developed based on the International Skin Imaging Collaboration guidelines. A scale was implemented to grade the quality of the images: 0 (low) to 18 (very high). Intra- and inter-reliability of the checklist was assessed using Bland-Altman analysis. Using this checklist, the consistency with which 85 sets of images were scored by 2 evaluators were compared using Kappa statistics. Items with a low Kappa value <0.4 were removed. RESULTS: After reliability testing, 5 of the items were removed due to low Kappa values (<0.4) and the final checklist included 13 items surveying: lesion selection; image orientation; lighting; field of view; focus and depth of view. Participants had a mean age of 41 years (range 19-73), and 67% were female. Most participants (84%, n = 71/85) were able to select and image the correct lesion over time for both the dermoscopic and overview images. Younger participants (<40 years old) scored significantly higher (8.1 ± 2.1) on the imaging checklist compared to older participants (7.1 ± 2.4; p = 0.037). Participants had most difficulty with consistent image orientation. CONCLUSIONS: This checklist could be used as a triage tool to filter images acquired by consumers prior to telediagnosis evaluation, which would improve the efficiency and accuracy of teledermatology and teledermoscopy processes. It may also be used to provide feedback to the consumers to improve image acquisition over time.

Melanoma: An FP's guide to diagnosis and management.

This review details the latest recommendations on dermoscopy and excision techniques, indications for sentinel lymph node biopsy, and Tx options.

Dermoscopy Proficiency Expectations for US Dermatology Resident Physicians: Results of a Modified Delphi Survey of Pigmented Lesion Experts.

Importance: Dermoscopy education in US dermatology residency programs varies widely, and there is currently no existing expert consensus identifying what is most important for resident physicians to know. Objectives: To identify consensus-based learning constructs representing an appropriate foundational proficiency in dermoscopic image interpretation for dermatology resident physicians, including dermoscopic diagnoses, associated features, and representative teaching images. Defining these foundational proficiency learning constructs will facilitate further skill development in dermoscopic image interpretation to help residents achieve clinical proficiency. Design, Setting, and Participants: A 2-phase modified Delphi surveying technique was used to identify resident learning constructs in 3 sequential sets of surveys-diagnoses, features, and images. Expert panelists were recruited through an email distributed to the 32 members of the Pigmented Lesion Subcommittee of the Melanoma Prevention Working Group. Twenty-six (81%) opted to participate. Surveys were distributed using RedCAP software. Main Outcomes and Measures: Consensus on diagnoses, associated dermoscopic features, and representative teaching images reflective of a foundational proficiency in dermoscopic image interpretation for US dermatology resident physicians. Results: Twenty-six pigmented lesion and dermoscopy specialists completed 8 rounds of surveys, with 100% (26/26) response rate in all rounds. A final list of 32 diagnoses and 116 associated dermoscopic features was generated. Three hundred seventy-eight representative teaching images reached consensus with panelists. Conclusions and Relevance: Consensus achieved in this modified Delphi process identified common dermoscopic diagnoses, associated features, and representative teaching images reflective of a foundational proficiency in dermoscopic image interpretation for dermatology residency training. This list of validated objectives provides a consensus-based foundation of key learning points in dermoscopy to help resident physicians achieve clinical proficiency in dermoscopic image interpretation.

Correlation between dermoscopy and direct microscopy in Tineabarbae.

Tineabarbae is a rare form of dermatophytosis that affects hair follicles of the beard and moustache. Dermoscopy could prove useful to identify parasitism of hair of the beard, just as it has proven useful in the diagnosis of Tineacapitis. We present the first fully documented case series of T. barbae with clinical, dermoscopic and mycological features.

Macroscopic and dermoscopic evaluation used to differentiate subungual haemorrhage from melanocytic lesions.

INTRODUCTION Subungual haemorrhage describes blood located between the nail matrix and nail plate caused by trauma. Lack of recalled trauma and long duration of nail pigmentation results in specialist referrals to rule out malignant pathology. AIM This report aims to describe the macroscopic and dermoscopic characteristics of subungual haemorrhage and to highlight its clinical differentiation from melanocytic lesions. METHODS Ninety-eight nails were assessed. Pigmentation in fifty-nine was due to subungual haemorrhage and was melanocytic in the remainder (identified by a longitudinal pigmented band). RESULTS Pigmentation in subungual haemorrhage had a clear proximal margin (73%) and the dermoscopic pattern was homogenous (97%), globular (78%) or streaky (34%). Features included peripheral fading (68%) and periungual haemorrhage (5%). Malignancy could be excluded in these cases by careful clinical evaluation. DISCUSSION A combination of macroscopic and dermoscopic characteristics help make a confident diagnosis of subungual haemorrhage. A two-stage process can aid clinical diagnosis by looking for known features of subungual haemorrhage and identifying absence of malignant features.

Development of a clinical-dermoscopic model for the diagnosis of urticarial vasculitis.

The clinical criteria for the diagnosis of urticarial vasculitis lack accuracy, according to previous studies. The aim of the study was to assess the accuracy of a clinical and a clinical-dermoscopic model for the differential diagnosis of chronic spontaneous urticaria (CSU) and urticarial vasculitis (UV). Dermoscopic images of lesions with histopathologically confirmed diagnosis of CSU and UV were evaluated for the presence of selected criteria (purpuric patches/globules (PG) and red linear vessels). Clinical criteria of CSU and UV were also registered. Univariate and adjusted odds ratios were calculated. Multivariate regression analyses were conducted separately for clinical variables (clinical diagnostic model) and for both clinical and dermoscopic variables (clinical-dermoscopic diagnostic model). 108 patients with CSU and 27 patients with UV were included in the study. The clinical-dermoscopic model notably showed higher diagnostic sensitivity than the clinical approach (63% vs. 44%). Dermoscopic purpuric patches/globules (PG) was the variable that better discriminated UV, increasing by 19-fold the odds for this diagnosis. In conclusion, dermoscopy helps the clinical discrimination between CSU and UV. The visualization of dermoscopic PG may contribute to optimize decisions regarding biopsy in patients with urticarial rashes.

Twenty-five practical recommendations in primary care dermoscopy.

Dermoscopy in primary care enhances clinical diagnoses and allows for risk stratifications. We have compiled 25 recommendations from our experience of dermoscopy in a wide range of clinical settings. The aim of this study is to enhance the application of dermoscopy by primary care clinicians. For primary care physicians commencing dermoscopy, we recommend understanding the aims of dermoscopy, having adequate training, purchasing dermoscopes with polarised and unpolarised views, performing regular maintenance on the equipment, seeking consent, applying contact and close non-contact dermoscopy, maintaining sterility, knowing one algorithm well and learning the rules for special regions such as the face, acral regions and nails. For clinicians already applying dermoscopy, we recommend establishing a platform for storing and retrieving clinical and dermoscopic images; shooting as uncompressed files; applying high magnifications and in-camera improvisations; explaining dermoscopic images to patients and their families; applying toggling; applying scopes with small probes for obscured lesions and lesions in body creases; applying far, non-contact dermoscopy; performing skin manipulations before and during dermoscopy; practising selective dermoscopy if experienced enough; and being aware of compound lesions. For clinicians in academic practice for whom dermatology and dermoscopy are special interests, we recommend acquiring the best hardware available with separate setups for clinical photography and dermoscopy; obtaining oral or written consent from patients for taking and publishing recognisable images; applying extremely high magnifications in search of novel dermoscopic features that are clinically important; applying dermoscopy immediately after local anaesthesia; and further augmenting images to incorporate messages beyond words to readers.

Utilizing Machine Learning for Image Quality Assessment for Reflectance Confocal Microscopy.

In vivo reflectance confocal microscopy (RCM) enables clinicians to examine lesions' morphological and cytological information in epidermal and dermal layers while reducing the need for biopsies. As RCM is being adopted more widely, the workflow is expanding from real-time diagnosis at the bedside to include a capture, store, and forward model with image interpretation and diagnosis occurring offsite, similar to radiology. As the patient may no longer be present at the time of image interpretation, quality assurance is key during image acquisition. Herein, we introduce a quality assurance process by means of automatically quantifying diagnostically uninformative areas within the lesional area by using RCM and coregistered dermoscopy images together. We trained and validated a pixel-level segmentation model on 117 RCM mosaics collected by international collaborators. The model delineates diagnostically uninformative areas with 82% sensitivity and 93% specificity. We further tested the model on a separate set of 372 coregistered RCM-dermoscopic image pairs and illustrate how the results of the RCM-only model can be improved via a multimodal (RCM + dermoscopy) approach, which can help quantify the uninformative regions within the lesional area. Our data suggest that machine learning-based automatic quantification offers a feasible objective quality control measure for RCM imaging.

Evaluation of dermoscopic criteria for seborrheic keratosis on non-polarized versus polarized dermoscopy.

BACKGROUND: The two dermoscopic methods, polarized dermoscopy (PD) and non-polarized dermoscopy (NPD), use different types of light sources. Here, we aimed to explore the differences between these two methods in the diagnosis of seborrheic keratosis (SK). MATERIALS AND METHODS: The images of 121 cases of SK taken by a digital camera equipped with NPD and PD were evaluated against 14 dermoscopic criteria of SK. RESULTS: The agreement levels between NPD and PD were fair to perfect against the dermoscopic criteria of SK. Perfect agreement was observed in fingerprint-like structures (κ = 0.812) and linear irregular vessels (κ = 0.807). Substantial agreement was determined in comedo-like openings (κ = 0.640), hairpin vessels (κ = 0.609), a moth-eaten border (κ = 0.642), sharp demarcation (κ = 0.637), network-like structures (κ = 0.662), and a mica-like pattern (κ = 0.639). Moderate agreement was found in milia-like cysts (κ = 0.550), fissures and ridges (κ = 0.554), dotted vessels (κ = 0.496), and color variability (κ = 0.438). Fair agreement was obtained only in comma vessels (κ = 0.340). CONCLUSION: Based on our results, we cannot recommend an absolute dermoscopic method for the diagnosis of SK; rather, we suggest that the methods are complementary.

Pathergy testing: prospective comparison of dermatoscopic evaluation and naked eye examination.

Pathergy phenomenon is a non-specific tissue hyperreactivity reaction due to trauma and is a minor diagnostic criterion of Behcet's disease. In this study, 100 patients with a suspicion of Behcet's disease who were referred to Cerrahpasa Medical Faculty Dermatology department between 01.11.2014 and 31.01.2015 are included. Skin pathergy tests were applied to all the patients and results were evaluated by two dermatologists separately at 48th hour, each with naked eye and with dermatoscopy. Test results were scored on a scale of 0-6. At the end of the study, score results of naked eye and dermatoscopy for doctor number 1 were statistically similar. Same results applied for doctor number 2. However, naked eye results of doctor number 1 and 2 for the same patients were significantly different from each other (p 0.0372) and with dermatoscopy examination this difference was eliminated (p > 0.05). This study revealed that naked eye evaluation of pathergy test results can yield different results among different interpreters. Use of dermatoscopy during the evaluation process decreases interobserver variation and subjectivity of the test.

Accuracy of dermoscopy in distinguishing erythroplasia of Queyrat from common forms of chronic balanitis: results from a multicentric observational study.

BACKGROUND: Clinical differentiation of erythroplasia of Queyrat (EQ) and chronic forms of balanitis may be challenging, especially in early phases or in overlapping cases. Dermoscopy has been shown to be a useful supportive tool in facilitating the distinction between tumoral and inflammatory skin conditions; yet, data on EQ and balanitis are scarce or sparse. OBJECTIVES: To systematically assess the dermoscopic features of both EQ and common forms of chronic balanitis and to investigate the accuracy of dermoscopy in distinguishing these conditions. METHODS: Subjects with EQ or chronic balanitis confirmed histologically or microbiologically (for infectious forms) were recruited. A representative dermoscopic image of a target lesion was retrospectively assessed for the presence of specific morphological findings. A correlation matrix was created using Spearman's rho. Proportions of dermoscopic variables scoring among different conditions were compared with the non-parametric Pearson's chi-square test. RESULTS: A total of 81 lesions (14 EQ, 23 psoriasis, 31 Zoon plasma cell balanitis and 13 candidal balanitis) from 81 patients were included in the study. Glomerular vessels (both clustered and diffusely distributed) were highly predictive for the diagnosis of EQ, while diffuse dotted vessels were strongly associated with psoriatic balanitis. Finally, Zoon plasma cell balanitis was characterized by orange structureless areas (focal or diffuse) and focused linear curved vessels, whereas cottage cheese-like structures (sparse white coating corresponding to Candida yeast colonies growth) showed a strong correlation with candidal balanitis. CONCLUSIONS: Erythroplasia of Queyrat and balanitis may display different dermoscopic patterns, thereby bearing the usefulness of dermoscopy as a supportive non-invasive tool for the recognition and differential diagnosis of such conditions.

How transparent film applied on dermatologic imaging devices in order to prevent infections affects image quality?

BACKGROUND: In the clinical practice, transparent films are used as sterile interfaces in in vivo dermatologic imaging in order to prevent the transmissions of infections. However, in our experience, the use of a transparent film can alter skin images. Our study aimed to compare the optical quality of a series of different plastic films used as interfaces in order to understand if some might be more suitable for imaging. MATERIALS AND METHODS: We tested the optical properties of 11 different protective transparent films that are marketed in France with a transparency meter and a spectrophotometer. RESULTS: Transmission, minimal diffusion, amount of gray, and contrast were obtained for each transparent film. Transmission ranged from 93.24% to 96.88% (mean 95.36; standard deviation SD 1.02), minimal diffusion from 88.28% to 123.87% (mean 101.04; standard deviation SD 10.02) and contrast from 11.01 to 15.88 (mean 13.93 and SD 1.3). For some films, the transmission was lower at lower wavelengths. CONCLUSION: All tested films had excellent optical properties. However, some of them had better optical qualities and seemed more suitable for their use in dermatologic imaging.

Dermoscopy in family medicine: A primer.

Dermoscopy allows you to see deeper into the skin than with the naked eye. Here's how you can make use of it to spot malignant conditions sooner.

Computer-assisted diagnosis techniques (dermoscopy and spectroscopy-based) for diagnosing skin cancer in adults.

BACKGROUND: Early accurate detection of all skin cancer types is essential to guide appropriate management and to improve morbidity and survival. Melanoma and cutaneous squamous cell carcinoma (cSCC) are high-risk skin cancers which have the potential to metastasise and ultimately lead to death, whereas basal cell carcinoma (BCC) is usually localised with potential to infiltrate and damage surrounding tissue. Anxiety around missing early curable cases needs to be balanced against inappropriate referral and unnecessary excision of benign lesions. Computer-assisted diagnosis (CAD) systems use artificial intelligence to analyse lesion data and arrive at a diagnosis of skin cancer. When used in unreferred settings ('primary care'), CAD may assist general practitioners (GPs) or other clinicians to more appropriately triage high-risk lesions to secondary care. Used alongside clinical and dermoscopic suspicion of malignancy, CAD may reduce unnecessary excisions without missing melanoma cases. OBJECTIVES: To determine the accuracy of CAD systems for diagnosing cutaneous invasive melanoma and atypical intraepidermal melanocytic variants, BCC or cSCC in adults, and to compare its accuracy with that of dermoscopy. SEARCH METHODS: We undertook a comprehensive search of the following databases from inception up to August 2016: Cochrane Central Register of Controlled Trials (CENTRAL); MEDLINE; Embase; CINAHL; CPCI; Zetoc; Science Citation Index; US National Institutes of Health Ongoing Trials Register; NIHR Clinical Research Network Portfolio Database; and the World Health Organization International Clinical Trials Registry Platform. We studied reference lists and published systematic review articles. SELECTION CRITERIA: Studies of any design that evaluated CAD alone, or in comparison with dermoscopy, in adults with lesions suspicious for melanoma or BCC or cSCC, and compared with a reference standard of either histological confirmation or clinical follow-up. DATA COLLECTION AND ANALYSIS: Two review authors independently extracted all data using a standardised data extraction and quality assessment form (based on QUADAS-2). We contacted authors of included studies where information related to the target condition or diagnostic threshold were missing. We estimated summary sensitivities and specificities separately by type of CAD system, using the bivariate hierarchical model. We compared CAD with dermoscopy using (a) all available CAD data (indirect comparisons), and (b) studies providing paired data for both tests (direct comparisons). We tested the contribution of human decision-making to the accuracy of CAD diagnoses in a sensitivity analysis by removing studies that gave CAD results to clinicians to guide diagnostic decision-making. MAIN RESULTS: We included 42 studies, 24 evaluating digital dermoscopy-based CAD systems (Derm-CAD) in 23 study cohorts with 9602 lesions (1220 melanomas, at least 83 BCCs, 9 cSCCs), providing 32 datasets for Derm-CAD and seven for dermoscopy. Eighteen studies evaluated spectroscopy-based CAD (Spectro-CAD) in 16 study cohorts with 6336 lesions (934 melanomas, 163 BCC, 49 cSCCs), providing 32 datasets for Spectro-CAD and six for dermoscopy. These consisted of 15 studies using multispectral imaging (MSI), two studies using electrical impedance spectroscopy (EIS) and one study using diffuse-reflectance spectroscopy. Studies were incompletely reported and at unclear to high risk of bias across all domains. Included studies inadequately address the review question, due to an abundance of low-quality studies, poor reporting, and recruitment of highly selected groups of participants.Across all CAD systems, we found considerable variation in the hardware and software technologies used, the types of classification algorithm employed, methods used to train the algorithms, and which lesion morphological features were extracted and analysed across all CAD systems, and even between studies evaluating CAD systems. Meta-analysis found CAD systems had high sensitivity for correct identification of cutaneous invasive melanoma and atypical intraepidermal melanocytic variants in highly selected populations, but with low and very variable specificity, particularly for Spectro-CAD systems. Pooled data from 22 studies estimated the sensitivity of Derm-CAD for the detection of melanoma as 90.1% (95% confidence interval (CI) 84.0% to 94.0%) and specificity as 74.3% (95% CI 63.6% to 82.7%). Pooled data from eight studies estimated the sensitivity of multispectral imaging CAD (MSI-CAD) as 92.9% (95% CI 83.7% to 97.1%) and specificity as 43.6% (95% CI 24.8% to 64.5%). When applied to a hypothetical population of 1000 lesions at the mean observed melanoma prevalence of 20%, Derm-CAD would miss 20 melanomas and would lead to 206 false-positive results for melanoma. MSI-CAD would miss 14 melanomas and would lead to 451 false diagnoses for melanoma. Preliminary findings suggest CAD systems are at least as sensitive as assessment of dermoscopic images for the diagnosis of invasive melanoma and atypical intraepidermal melanocytic variants. We are unable to make summary statements about the use of CAD in unreferred populations, or its accuracy in detecting keratinocyte cancers, or its use in any setting as a diagnostic aid, because of the paucity of studies. AUTHORS' CONCLUSIONS: In highly selected patient populations all CAD types demonstrate high sensitivity, and could prove useful as a back-up for specialist diagnosis to assist in minimising the risk of missing melanomas. However, the evidence base is currently too poor to understand whether CAD system outputs translate to different clinical decision-making in practice. Insufficient data are available on the use of CAD in community settings, or for the detection of keratinocyte cancers. The evidence base for individual systems is too limited to draw conclusions on which might be preferred for practice. Prospective comparative studies are required that evaluate the use of already evaluated CAD systems as diagnostic aids, by comparison to face-to-face dermoscopy, and in participant populations that are representative of those in which the test would be used in practice.

Enhanced melanoma diagnosis with multispectral digital skin lesion analysis.

Multispectral digital skin lesion analysis (MSDSLA) is both sensitive and specific in the detection of malignant melanoma by dermatologists and nondermatologists, and data have shown that MSDSLA can be a valuable tool in the evaluation of pigmented skin lesions (PSLs). This study aimed to aggregate data from 7 prior studies to provide a comprehensive overview and evaluate the consistency of the effects of MSDSLA when used in conjunction with clinical examination and dermoscopy to evaluate PSLs.

Classifying dermoscopic patterns of naevi in a case-control study of melanoma.

Changes in dermoscopic patterns of naevi may be associated with melanoma; however, there is no consensus on which dermoscopic classification system is optimal. To determine whether different classification systems give comparable results and can be combined for analysis, we applied two systems to a case-control study of melanoma with 1037 participants: 573 classified using a "1/3 major feature" system, 464 classified based on rules of appearance, and 263 classified with both criteria. There was strong correlation for non-specific (Spearman R = 0.96) and reticular (Spearman R = 0.82) naevi, with a slight bias for globular naevi with the rules of appearance system. Inter-observer reliability was high for the rules of appearance system, particularly for reticular naevi (Pearson >0.97). We show that different classification systems for naevi can be combined for data analysis, and describe a method for determining what adjustments may need to be applied to combine data sets.