Value of the clinical history for different users of dermoscopy compared with results of digital image analysis

A Multi-Feature Fusion Framework for Automatic Skin Cancer Diagnostics

Malignant melanoma is the most invasive skin cancer and is currently regarded as one of the deadliest disorders; however, it can be cured more successfully if detected and treated early. Recently, CAD (computer-aided diagnosis) systems have emerged as a powerful alternative tool for the automatic detection and categorization of skin lesions, such as malignant melanoma or benign nevus, in given dermoscopy images. In this paper, we propose an integrated CAD framework for rapid and accurate melanoma detection in dermoscopy images. Initially, an input dermoscopy image is pre-processed by using a median filter and bottom-hat filtering for noise reduction, artifact removal, and, thus, enhancing the image quality. After this, each skin lesion is described by an effective skin lesion descriptor with high discrimination and descriptiveness capabilities, which is constructed by calculating the HOG (Histogram of Oriented Gradient) and LBP (Local Binary Patterns) and their extensions. After feature selection, the lesion descriptors are fed into three supervised machine learning classification models, namely SVM (Support Vector Machine), kNN (k-Nearest Neighbors), and GAB (Gentle AdaBoost), to diagnostically classify melanocytic skin lesions into one of two diagnostic categories, melanoma or nevus. Experimental results achieved using 10-fold cross-validation on the publicly available MED-NODEE dermoscopy image dataset demonstrate that the proposed CAD framework performs either competitively or superiorly to several state-of-the-art methods with stronger training settings in relation to various diagnostic metrics, such as accuracy (94%), specificity (92%), and sensitivity (100%).

Teledermatologie: Fluch oder Segen?

Teledermatologische Dienste haben sich insbesondere während der COVID-19-Pandemie als Alternative zu „Echt“visiten verbreitet. Der Mangel an Dermatologen und die Möglichkeit einer präzisen Diagnose auch bei unterversorgten Regionen macht diese Alternative für alle Beteiligten besonders attraktiv. Trotzdem ist der Bedarf an Schulungen des Personals und der Anwender hoch. Ebenfalls können Implementierungs-, Instandhaltungs- und Wartungskosten der notwendigen Ausrüstung und die Heterogenität der unterschiedlichen Anbieter nachteilig für Patient und Arzt sein. In diesem Artikel werden wesentliche Vorteile und Nachteile der Teledermatologie zusammengefasst.

The Study of Usefulness of a Set of Fractal Parameters to Build Classes of Disease Units Based on Images of Pigmented Skin Lesions

Dermatoscopic images are also increasingly used to train artificial neural networks for the future to provide fully automatic diagnostic systems capable of determining the type of pigmented skin lesion. Therefore, fractal analysis was used in this study to measure the irregularity of pigmented skin lesion surfaces. This paper presents selected results from individual stages of preliminary processing of the dermatoscopic image on pigmented skin lesion, in which fractal analysis was used and referred to the effectiveness of classification by fuzzy or statistical methods. Classification of the first unsupervised stage was performed using the method of analysis of scatter graphs and the fuzzy method using the Kohonen network. The results of the Kohonen network learning process with an input vector consisting of eight elements prove that neuronal activation requires a larger learning set with greater differentiation. For the same training conditions, the final results are at a higher level and can be classified as weaker. Statistics of factor analysis were proposed, allowing for the reduction in variables, and the directions of further studies were indicated.

[Artificial intelligence and smartphone program applications (Apps) : Relevance for dermatological practice]

ADVANTAGES OF ARTIFICIAL INTELLIGENCE (AI)

With responsible, safe and successful use of artificial intelligence (AI), possible advantages in the field of dermato-oncology include the following: (1) medical work can focus on skin cancer patients, (2) patients can be more quickly and effectively treated despite the increasing incidence of skin cancer and the decreasing number of actively working dermatologists and (3) users can learn from the AI results. POTENTIAL DISADVANTAGES AND RISKS OF AI USE: (1) Lack of mutual trust can develop due to the decreased patient-physician contact, (2) additional time effort will be necessary to promptly evaluate the AI-classified benign lesions, (3) lack of adequate medical experience to recognize misclassified AI decisions and (4) recontacting a patient in due time in the case of incorrect AI classifications. Still problematic in the use of AI are the medicolegal situation and remuneration. Apps using AI currently cannot provide sufficient assistance based on clinical images of skin cancer.

REQUIREMENTS AND POSSIBLE USE OF SMARTPHONE PROGRAM APPLICATIONS

Smartphone program applications (apps) can be implemented responsibly when the image quality is good, the patient's history can be entered easily, transmission of the image and results are assured and medicolegal aspects as well as remuneration are clarified. Apps can be used for disease-specific information material and can optimize patient care by using teledermatology.

Teledermatology: idea, benefits and risks of modern age - a systematic review based on melanoma

Telemedicine may be described as a modern technology supporting health care at a distance. Dermatology, as a visually-dependent specialty, is particularly suited for this kind of the health care model. This has been proven in a number of recent studies, which emphasized feasibility and reliability of teledermatology. Many patients in the world still do not have access to appropriate dermatological care, while skin cancers morbidity is on an upward trend. Technological development has enabled clinicians to care for diverse patient populations in need of skin expertise without increasing their overhead costs. Teledermatology has been used for various purposes: health care workers can use this technology to provide clinical services to patients, to monitor patient health, to consult with other health care providers and to provide patients with access to educational resources. It seems that teledermatology might be the answer to numerous issues concerning diagnosing, screening and managing cancers as well as pigmented skin lesions.

The Importance of Dermoscopy in Early Recognition of Melanoma in Situ

Early recognition of melanoma in situ (MIS) is an ongoing challenge in dermatology. It rarely arises ‘de novo’, most frequently resulting due to the transformation of an atypical nevus. The diagnostic criteria for MIS are diverse dermoscopy being the most used and it has a sensitivity of 83% and a specificity of 69% in detecting melanomas. The main objective of our study was to establish the sensitivity and the specificity of each of the 7-point checklist criteria used to differentiate melanocytic nevi from in situ malignant melanoma. The study group included 200 patients, aged over 18 years, with atypical pigmentary nevi after clinical aspects that presented changes in clinical appearance (shape, color, dimensions) during the last 6 months. On each patient we used the 7-point checklist of Argenziano (C1-C7). The study was performed at the Medical Center Dr. Ianosi, in Craiova between January 2016 and September 2018 and it was used Molemax HD computerized dermatoscope. The C1÷C3 criteria are significantly relevant in establishing the diagnosis of MIS in comparison with the diagnosis of nevus, unlike the C4-C7 criterion that is not definitely relevant for confirmation of the MIS diagnosis. There are no enough specific dermoscopic criteria to differentiate MIS from atypical nevus.

Patient Attitude towards Videodermatoscopy for the Detection of Skin Cancer: A Cross-Sectional Study

BACKGROUND

Videodermatoscopy (VD) is a useful device for supporting dermatologists in the distinction between benign and malignant lesions. However, only few patients have access to VD in daily practice.

OBJECTIVES

To investigate patient attitudes towards VD.

METHOD

A cross-sectional study was conducted between May and June 2018. Patients were asked to complete a self-administered questionnaire on the popularity of VD. Descriptive analysis was performed including contingency tables and χ2 tests to investigate associations between sociodemographic data and the popularity of VD.

RESULTS

A total of 61.2% (123/201) of the patients had not heard of VD at the time of assessment or were unsure. Of the 38.8% of patients (78/201) who already knew of VD, 64.1% (50/78) reported that they had already been investigated by VD; 57.5% (111/193) were willing to pay an extra fee for VD. A high level of education and private insurance status had a statistically significant association with the popularity of VD (p = 0.036 and p = 0.026, respectively).

CONCLUSIONS

There was a strong information deficit, especially in patients with lower education and statutory health insurance. Nevertheless, the willingness to pay an extra fee for a VD-assisted skin examination was high. Dermatologists should actively offer and inform their patients about VD when performing skin cancer screening.

Visual inspection for diagnosing cutaneous melanoma in adults

BACKGROUND

Melanoma has one of the fastest rising incidence rates of any cancer. It accounts for a small percentage of skin cancer cases but is responsible for the majority of skin cancer deaths. History-taking and visual inspection of a suspicious lesion by a clinician is usually the first in a series of 'tests' to diagnose skin cancer. Establishing the accuracy of visual inspection alone is critical to understating the potential contribution of additional tests to assist in the diagnosis of melanoma.

OBJECTIVES

To determine the diagnostic accuracy of visual inspection for the detection of cutaneous invasive melanoma and atypical intraepidermal melanocytic variants in adults with limited prior testing and in those referred for further evaluation of a suspicious lesion. Studies were separated according to whether the diagnosis was recorded face-to-face (in-person) or based on remote (image-based) assessment.

SEARCH METHODS

We undertook a comprehensive search of the following databases from inception up to August 2016: CENTRAL; 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

Test accuracy studies of any design that evaluated visual inspection in adults with lesions suspicious for melanoma, compared with a reference standard of either histological confirmation or clinical follow-up. We excluded studies reporting data for 'clinical diagnosis' where dermoscopy may or may not have been used.

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 per algorithm and threshold using the bivariate hierarchical model. We investigated the impact of: in-person test interpretation; use of a purposely developed algorithm to assist diagnosis; and observer expertise.

MAIN RESULTS

We included 49 publications reporting on a total of 51 study cohorts with 34,351 lesions (including 2499 cases), providing 134 datasets for visual inspection. Across almost all study quality domains, the majority of study reports provided insufficient information to allow us to judge the risk of bias, while in three of four domains that we assessed we scored concerns regarding applicability of study findings as 'high'. Selective participant recruitment, lack of detail regarding the threshold for deciding on a positive test result, and lack of detail on observer expertise were particularly problematic.Attempts to analyse studies by degree of prior testing were hampered by a lack of relevant information and by the restricted inclusion of lesions selected for biopsy or excision. Accuracy was generally much higher for in-person diagnosis compared to image-based evaluations (relative diagnostic odds ratio of 8.54, 95% CI 2.89 to 25.3, P < 0.001). Meta-analysis of in-person evaluations that could be clearly placed on the clinical pathway showed a general trade-off between sensitivity and specificity, with the highest sensitivity (92.4%, 95% CI 26.2% to 99.8%) and lowest specificity (79.7%, 95% CI 73.7% to 84.7%) observed in participants with limited prior testing (n = 3 datasets). Summary sensitivities were lower for those referred for specialist assessment but with much higher specificities (e.g. sensitivity 76.7%, 95% CI 61.7% to 87.1%) and specificity 95.7%, 95% CI 89.7% to 98.3%) for lesions selected for excision, n = 8 datasets). These differences may be related to differences in the spectrum of included lesions, differences in the definition of a positive test result, or to variations in observer expertise. We did not find clear evidence that accuracy is improved by the use of any algorithm to assist diagnosis in all settings. Attempts to examine the effect of observer expertise in melanoma diagnosis were hindered due to poor reporting.

AUTHORS' CONCLUSIONS

Visual inspection is a fundamental component of the assessment of a suspicious skin lesion; however, the evidence suggests that melanomas will be missed if visual inspection is used on its own. The evidence to support its accuracy in the range of settings in which it is used is flawed and very poorly reported. Although published algorithms do not appear to improve accuracy, there is insufficient evidence to suggest that the 'no algorithm' approach should be preferred in all settings. Despite the volume of research evaluating visual inspection, further prospective evaluation of the potential added value of using established algorithms according to the prior testing or diagnostic difficulty of lesions may be warranted.

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.

Visual inspection and dermoscopy, alone or in combination, for diagnosing keratinocyte skin cancers in adults

BACKGROUND

Early accurate detection of all skin cancer types is important to guide appropriate management, to reduce morbidity and to improve survival. Basal cell carcinoma (BCC) is almost always a localised skin cancer with potential to infiltrate and damage surrounding tissue, whereas a minority of cutaneous squamous cell carcinomas (cSCCs) and invasive melanomas are higher-risk skin cancers with the potential to metastasise and cause death. Dermoscopy has become an important tool to assist specialist clinicians in the diagnosis of melanoma, and is increasingly used in primary-care settings. Dermoscopy is a precision-built handheld illuminated magnifier that allows more detailed examination of the skin down to the level of the superficial dermis. Establishing the value of dermoscopy over and above visual inspection for the diagnosis of BCC or cSCC in primary- and secondary-care settings is critical to understanding its potential contribution to appropriate skin cancer triage, including referral of higher-risk cancers to secondary care, the identification of low-risk skin cancers that might be treated in primary care and to provide reassurance to those with benign skin lesions who can be safely discharged.

OBJECTIVES

To determine the diagnostic accuracy of visual inspection and dermoscopy, alone or in combination, for the detection of (a) BCC and (b) cSCC, in adults. We separated studies according to whether the diagnosis was recorded face-to-face (in person) or based on remote (image-based) assessment.

SEARCH METHODS

We undertook a comprehensive search of the following databases from inception up to August 2016: Cochrane Central Register of Controlled Trials; 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 visual inspection or dermoscopy or both in adults with lesions suspicious for skin cancer, 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 thresholds were missing. We estimated accuracy using hierarchical summary ROC methods. We undertook analysis of studies allowing direct comparison between tests. To facilitate interpretation of results, we computed values of sensitivity at the point on the SROC curve with 80% fixed specificity and values of specificity with 80% fixed sensitivity. We investigated the impact of in-person test interpretation; use of a purposely-developed algorithm to assist diagnosis; and observer expertise.

MAIN RESULTS

We included 24 publications reporting on 24 study cohorts, providing 27 visual inspection datasets (8805 lesions; 2579 malignancies) and 33 dermoscopy datasets (6855 lesions; 1444 malignancies). The risk of bias was mainly low for the index test (for dermoscopy evaluations) and reference standard domains, particularly for in-person evaluations, and high or unclear for participant selection, application of the index test for visual inspection and for participant flow and timing. We scored concerns about the applicability of study findings as of 'high' or 'unclear' concern for almost all studies across all domains assessed. Selective participant recruitment, lack of reproducibility of diagnostic thresholds and lack of detail on observer expertise were particularly problematic.The detection of BCC was reported in 28 datasets; 15 on an in-person basis and 13 image-based. Analysis of studies by prior testing of participants and according to observer expertise was not possible due to lack of data. Studies were primarily conducted in participants referred for specialist assessment of lesions with available histological classification. We found no clear differences in accuracy between dermoscopy studies undertaken in person and those which evaluated images. The lack of effect observed may be due to other sources of heterogeneity, including variations in the types of skin lesion studied, in dermatoscopes used, or in the use of algorithms and varying thresholds for deciding on a positive test result.Meta-analysis found in-person evaluations of dermoscopy (7 evaluations; 4683 lesions and 363 BCCs) to be more accurate than visual inspection alone for the detection of BCC (8 evaluations; 7017 lesions and 1586 BCCs), with a relative diagnostic odds ratio (RDOR) of 8.2 (95% confidence interval (CI) 3.5 to 19.3; P < 0.001). This corresponds to predicted differences in sensitivity of 14% (93% versus 79%) at a fixed specificity of 80% and predicted differences in specificity of 22% (99% versus 77%) at a fixed sensitivity of 80%. We observed very similar results for the image-based evaluations.When applied to a hypothetical population of 1000 lesions, of which 170 are BCC (based on median BCC prevalence across studies), an increased sensitivity of 14% from dermoscopy would lead to 24 fewer BCCs missed, assuming 166 false positive results from both tests. A 22% increase in specificity from dermoscopy with sensitivity fixed at 80% would result in 183 fewer unnecessary excisions, assuming 34 BCCs missed for both tests. There was not enough evidence to assess the use of algorithms or structured checklists for either visual inspection or dermoscopy.Insufficient data were available to draw conclusions on the accuracy of either test for the detection of cSCCs.

AUTHORS' CONCLUSIONS

Dermoscopy may be a valuable tool for the diagnosis of BCC as an adjunct to visual inspection of a suspicious skin lesion following a thorough history-taking including assessment of risk factors for keratinocyte cancer. The evidence primarily comes from secondary-care (referred) populations and populations with pigmented lesions or mixed lesion types. There is no clear evidence supporting the use of currently-available formal algorithms to assist dermoscopy diagnosis.

Dermoscopy, with and without visual inspection, for diagnosing melanoma in adults

BACKGROUND

Melanoma has one of the fastest rising incidence rates of any cancer. It accounts for a small percentage of skin cancer cases but is responsible for the majority of skin cancer deaths. Although history-taking and visual inspection of a suspicious lesion by a clinician are usually the first in a series of 'tests' to diagnose skin cancer, dermoscopy has become an important tool to assist diagnosis by specialist clinicians and is increasingly used in primary care settings. Dermoscopy is a magnification technique using visible light that allows more detailed examination of the skin compared to examination by the naked eye alone. Establishing the additive value of dermoscopy over and above visual inspection alone across a range of observers and settings is critical to understanding its contribution for the diagnosis of melanoma and to future understanding of the potential role of the growing number of other high-resolution image analysis techniques.

OBJECTIVES

To determine the diagnostic accuracy of dermoscopy alone, or when added to visual inspection of a skin lesion, for the detection of cutaneous invasive melanoma and atypical intraepidermal melanocytic variants in adults. We separated studies according to whether the diagnosis was recorded face-to-face (in-person), or based on remote (image-based), assessment.

SEARCH METHODS

We undertook a comprehensive search of the following databases from inception up to August 2016: 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 dermoscopy in adults with lesions suspicious for melanoma, compared with a reference standard of either histological confirmation or clinical follow-up. Data on the accuracy of visual inspection, to allow comparisons of tests, was included only if reported in the included studies of dermoscopy.

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 accuracy using hierarchical summary receiver operating characteristic (SROC),methods. Analysis of studies allowing direct comparison between tests was undertaken. To facilitate interpretation of results, we computed values of sensitivity at the point on the SROC curve with 80% fixed specificity and values of specificity with 80% fixed sensitivity. We investigated the impact of in-person test interpretation; use of a purposely developed algorithm to assist diagnosis; observer expertise; and dermoscopy training.

MAIN RESULTS

We included a total of 104 study publications reporting on 103 study cohorts with 42,788 lesions (including 5700 cases), providing 354 datasets for dermoscopy. The risk of bias was mainly low for the index test and reference standard domains and mainly high or unclear for participant selection and participant flow. Concerns regarding the applicability of study findings were largely scored as 'high' concern in three of four domains assessed. Selective participant recruitment, lack of reproducibility of diagnostic thresholds and lack of detail on observer expertise were particularly problematic.The accuracy of dermoscopy for the detection of invasive melanoma or atypical intraepidermal melanocytic variants was reported in 86 datasets; 26 for evaluations conducted in person (dermoscopy added to visual inspection), and 60 for image-based evaluations (diagnosis based on interpretation of dermoscopic images). Analyses of studies by prior testing revealed no obvious effect on accuracy; analyses were hampered by the lack of studies in primary care, lack of relevant information and the restricted inclusion of lesions selected for biopsy or excision. Accuracy was higher for in-person diagnosis compared to image-based evaluations (relative diagnostic odds ratio (RDOR) 4.6, 95% confidence interval (CI) 2.4 to 9.0; P < 0.001).We compared accuracy for (a), in-person evaluations of dermoscopy (26 evaluations; 23,169 lesions and 1664 melanomas),versus visual inspection alone (13 evaluations; 6740 lesions and 459 melanomas), and for (b), image-based evaluations of dermoscopy (60 evaluations; 13,475 lesions and 2851 melanomas),versus image-based visual inspection (11 evaluations; 1740 lesions and 305 melanomas). For both comparisons, meta-analysis found dermoscopy to be more accurate than visual inspection alone, with RDORs of (a), 4.7 (95% CI 3.0 to 7.5; P < 0.001), and (b), 5.6 (95% CI 3.7 to 8.5; P < 0.001). For a), the predicted difference in sensitivity at a fixed specificity of 80% was 16% (95% CI 8% to 23%; 92% for dermoscopy + visual inspection versus 76% for visual inspection), and predicted difference in specificity at a fixed sensitivity of 80% was 20% (95% CI 7% to 33%; 95% for dermoscopy + visual inspection versus 75% for visual inspection). For b) the predicted differences in sensitivity was 34% (95% CI 24% to 46%; 81% for dermoscopy versus 47% for visual inspection), at a fixed specificity of 80%, and predicted difference in specificity was 40% (95% CI 27% to 57%; 82% for dermoscopy versus 42% for visual inspection), at a fixed sensitivity of 80%.Using the median prevalence of disease in each set of studies ((a), 12% for in-person and (b), 24% for image-based), for a hypothetical population of 1000 lesions, an increase in sensitivity of (a), 16% (in-person), and (b), 34% (image-based), from using dermoscopy at a fixed specificity of 80% equates to a reduction in the number of melanomas missed of (a), 19 and (b), 81 with (a), 176 and (b), 152 false positive results. An increase in specificity of (a), 20% (in-person), and (b), 40% (image-based), at a fixed sensitivity of 80% equates to a reduction in the number of unnecessary excisions from using dermoscopy of (a), 176 and (b), 304 with (a), 24 and (b), 48 melanomas missed.The use of a named or published algorithm to assist dermoscopy interpretation (as opposed to no reported algorithm or reported use of pattern analysis), had no significant impact on accuracy either for in-person (RDOR 1.4, 95% CI 0.34 to 5.6; P = 0.17), or image-based (RDOR 1.4, 95% CI 0.60 to 3.3; P = 0.22), evaluations. This result was supported by subgroup analysis according to algorithm used. We observed higher accuracy for observers reported as having high experience and for those classed as 'expert consultants' in comparison to those considered to have less experience in dermoscopy, particularly for image-based evaluations. Evidence for the effect of dermoscopy training on test accuracy was very limited but suggested associated improvements in sensitivity.

AUTHORS' CONCLUSIONS

Despite the observed limitations in the evidence base, dermoscopy is a valuable tool to support the visual inspection of a suspicious skin lesion for the detection of melanoma and atypical intraepidermal melanocytic variants, particularly in referred populations and in the hands of experienced users. Data to support its use in primary care are limited, however, it may assist in triaging suspicious lesions for urgent referral when employed by suitably trained clinicians. Formal algorithms may be of most use for dermoscopy training purposes and for less expert observers, however reliable data comparing approaches using dermoscopy in person are lacking.

Telemedicine in dermatology: findings and experiences worldwide - a systematic literature review

Telemedicine has become an important element of health care in many countries and profited from the technological progress of the last two decades. Due to the visual character of the dermatological specialty, teledermatology in particular participated in that development and is becoming a major tool in dermatological consultation. The objective of this article was to identify the use of teledermatology across the world based on published original articles. A systematic literature search of the MEDLINE and Embase databases for eligible publications (predefined inclusion and exclusion criteria) and a cross-validation search were conducted. Search results were reviewed systematically. The search resulted in 204 publications meeting the inclusion criteria for analysis. The highest number of published studies on teledermatology was performed in the United States, followed by the United Kingdom, Spain, the Netherlands, Italy and Austria. The majority of dermatological indications for telemedical consultations were not specified or included various kinds of skin diseases, followed by skin cancer and wounds. Research questions predominantly focused on concordance, effectiveness and cost-effectiveness to determine the value. Teledermatology proved to be a reliable consultation tool in the majority of studies. If specified, telemedicine was used in daily dermatological routine for patient management purposes, to consult patients in peripheral locations, or for medical support in nursing homes or home care settings. The application of teledermatology worldwide is highest in North American and European countries, while countries with poor geographical distribution of physicians seem to be under-represented in teledermatological use, as concluded from publication output. Regarding indications, comparison with classic consultation and area of application, most studies were of general nature. For precise determination of the value, systematic studies would be needed. However, teledermatology is already accepted as a valid tool.

The Role of Color and Morphologic Characteristics in Dermoscopic Diagnosis

IMPORTANCE

Both colors and structures are considered important in the dermoscopic evaluation of skin lesions but their relative significance is unknown.

OBJECTIVE

To determine if diagnostic accuracy for common skin lesions differs between gray-scale and color dermoscopic images.

DESIGN, SETTING, AND PARTICIPANTS

A convenience sample of 40 skin lesions (8 nevi, 8 seborrheic keratoses, 7 basal cell carcinomas, 7 melanomas, 4 hemangiomas, 4 dermatofibromas, 2 squamous cell carcinomas [SCCs]) was selected and shown to attendees of a dermoscopy course (2014 Memorial Sloan Kettering Cancer Center dermoscopy course). Twenty lesions were shown only once, either in gray-scale (n = 10) or color (n = 10) (nonpaired). Twenty lesions were shown twice, once in gray-scale (n = 20) and once in color (n = 20) (paired). Participants provided their diagnosis and confidence level for each of the 60 images. Of the 261 attendees, 158 participated (60.5%) in the study. Most were attending physicians (n = 76 [48.1%]). Most participants were practicing or training in dermatology (n = 144 [91.1%]). The median (interquartile range) experience evaluating skin lesions and using dermoscopy of participants was 6 (13.5) and 2 (4.0) years, respectively.

MAIN OUTCOMES AND MEASURES

Diagnostic accuracy and confidence level of participants evaluating gray-scale and color images. Two separate analyses were performed: (1) an unpaired evaluation comparing gray-scale and color images shown either once or for the first time, and (2) a paired evaluation comparing pairs of gray-scale and color images of the same lesion.

RESULTS

In univariate analysis of unpaired images, color images were less likely to be diagnosed correctly compared with gray-scale images (odds ratio [OR], 0.8; P < .001). Using gray-scale images as the reference, multivariate analyses of both unpaired and paired images found no association between correct lesion diagnosis and use of color images (OR, 1.0; P = .99, and OR, 1.2; P = .82, respectively). Stratified analysis of paired images using a color by diagnosis interaction term showed that participants were more likely to make a correct diagnosis of SCC and hemangioma in color (P < .001 for both comparisons) and dermatofibroma in gray-scale (P < .001).

CONCLUSIONS AND RELEVANCE

Morphologic characteristics (ie, structures and patterns), not color, provide the primary diagnostic clue in dermoscopy. Use of gray-scale images may improve teaching of dermoscopy to novices by emphasizing the evaluation of morphology.

Melanoma awareness and prevalence of dermoscopic examination among internet users: a cross-sectional survey

Introduction

Melanoma presents the greater threat to health the later the disease is detected and treated, although treatment results can be improved by the widespread use of dermoscopy. However, scarce data are available concerning the awareness of dermoscopy and the frequency of its performance in the non-patient population.

Aim

To assess the awareness of melanoma detection by dermoscopic examination among the audience of a scientific website.

Material and methods

Respondents were invited to participate in an online cross-sectional survey. They were asked to complete an online questionnaire designed by the authors. The preliminary analysis of 5,154 collected forms and the exclusion of incomplete forms yielded 4,919 fully completed questionnaires; the resulting database was analyzed statistically using logistic regression with the R software program (95% CI).

Results

Less than two-fifths (39.2%) of respondents reported ever having sought the advice of a medical professional (dermatologist or other specialist), and 25.4% of the respondents had undergone dermoscopy at least once in their life. Furthermore, approximately one-tenth of respondents (10.7%) were not aware of this detection tool. The study respondents gained knowledge about dermoscopic examination from television and magazines. The performance of dermoscopy was more increasingly associated with inhabitants of larger locales, the use of higher-SPF sunscreens, and greater awareness of the relationship between the risk of melanoma and sunburn.

Conclusions

Awareness of melanoma and sun care varied within the analyzed population. A subset of individuals at high risk of melanoma was identified. This group included those who engaged in risky sun exposure behaviors and who had never been examined by dermoscopy.

Computer-Aided Decision Support for Melanoma Detection Applied on Melanocytic and Nonmelanocytic Skin Lesions: A Comparison of Two Systems Based on Automatic Analysis of Dermoscopic Images

Commercially available clinical decision support systems (CDSSs) for skin cancer have been designed for the detection of melanoma only. Correct use of the systems requires expert knowledge, hampering their utility for nonexperts. Furthermore, there are no systems to detect other common skin cancer types, that is, nonmelanoma skin cancer (NMSC). As early diagnosis of skin cancer is essential, there is a need for a CDSS that is applicable to all types of skin lesions and is suitable for nonexperts. Nevus Doctor (ND) is a CDSS being developed by the authors. We here investigate ND's ability to detect both melanoma and NMSC and the opportunities for improvement. An independent test set of dermoscopic images of 870 skin lesions, including 44 melanomas and 101 NMSCs, were analysed by ND. Its sensitivity to melanoma and NMSC was compared to that of Mole Expert (ME), a commercially available CDSS, using the same set of lesions. ND and ME had similar sensitivity to melanoma. For ND at 95% melanoma sensitivity, the NMSC sensitivity was 100%, and the specificity was 12%. The melanomas misclassified by ND at 95% sensitivity were correctly classified by ME, and vice versa. ND is able to detect NMSC without sacrificing melanoma sensitivity.

The most common mistakes on dermatoscopy of melanocytic lesions

Dermatoscopy is a method of in vivo evaluation of the structures within the epidermis and dermis. Currently, it may be the most precise pre-surgical method of diagnosing melanocytic lesions. Diagnostic errors may result in unnecessary removal of benign lesions or what is even worse, they can cause early and very early melanomas to be overlooked. Errors in assessment of dermatoscopy can be divided into those arising from failure to maintain proper test procedures (procedural and technical errors) and knowledge based mistakes related to the lack of sufficient familiarity and experience in dermatoscopy. The article discusses the most common mistakes made by beginner or inexperienced dermatoscopists.

Pediatric teledermatology consultations: relationship between provided data and diagnosis

There is a shortage of pediatric dermatologists. Teledermatology has emerged as a tool to facilitate access to dermatologists. Many questions remain regarding how to optimize consultations in order to provide the best diagnosis and management recommendations. The aim of this retrospective cohort study was to categorize the historical data and judge the adequacy of photographs sent by referring providers to our academic pediatric teledermatology practice at the University of California, San Francisco, and to evaluate the relationship of these data to our ability to render a diagnosis. A diagnosis was rendered in 75% of cases. The only historical data associated with receiving a diagnosis was prior treatment (OR 2.01, CI 1.01, 4, p < 0.05). Appropriate image distance from the target was associated with receiving a diagnosis for rashes (OR 2.69, CI 1.07, 6.8, p = 0.04) and growths (OR 4.16, CI 1.04, 16.6, p = 0.04). A lack of diagnosis was significantly associated with a recommendation for referral for biopsy (OR 0.03, CI 0.01, 0.10, p < 0.0001) or for in-person consultation (OR 0.19, CI 0.05, 0.66, p < 0.001). In conclusion, pediatric teledermatologists are able to make a diagnosis most of the time, regardless of historical information provided or image quality. The rate of diagnosis may be improved with the use of standardized templates for historical information. Similarly, photography training could minimize the need for in-person consultation. Specific information regarding prior treatments could also help in providing useful management recommendations.

Mobile teledermoscopy-there's an app for that!

Background:

The introduction of the smartphone with high-quality, built-in digital cameras and easy-to-install software may make it more convenient to perform teledermatology. In this study we looked at the feasibility of using a smartphone (iPhone 4^®) with an installed application especially developed for teledermatology (iDoc24^®) and a dermoscope (FotoFinder Handyscope^®) that is customized to attach to the smartphone to be able to carry out mobile teledermoscopy.

Objectives:

To study the diagnostic accuracy of this mobile teledermoscopy solution, to determine the interobserver concordance between teledermoscopists (TDs) and a dermatologist meeting the patient face-to-face (FTF), and to assess the adequacy of the TDs’ management decisions and to evaluate the image quality obtained.

Patients/Methods:

During a 16-week period, patients with one or more suspicious skin lesions deemed to need a biopsy or excision were included. The smartphone app was used to send a clinical image, a dermoscopy image and relevant clinical information to a secure Internet platform (Tele-Dermis^®). Two TDs assessed the incoming cases, providing a specific primary diagnosis and a management decision. They also graded the image quality. The histopathological diagnosis was used as the gold standard.

Results:

Sixty-nine lesions were included. The FTF dermatologist’s diagnostic accuracy was 66.7%, which was statistically higher than TD 1 (50.7%, P=0.04) but similar to TD 2 (60.9%, P=0.52). The interobserver concordances between the FTF dermatologist and the two TDs and between the respective TDs showed moderate to substantial agreement. The TDs provided adequate management decisions for 68 (98.6%) and 69 (100%) lesions, respectively. The image quality was rated as excellent or sufficient in 94% and 84% of the cases by the respective TDs.

Conclusion:

This novel mobile teledermoscopy solution may be useful as a triage tool for patients referred to dermatologists for suspicious skin lesions.

[Severely dysplastic nevus: atypical Spitz nevus or melanoma in situ?]

A 31-year-old patient presented with a new, rapidly growing pigmented skin tumor on her left thigh. Several years previously a level 2 superficial spreading melanoma (SSM) with a tumor thickness of 0.45 mm had been removed from her left thigh. Dermatoscopic examination revealed asymmetric pigmentation of the tumor with branched streaks of variable thickness and irregular pseudopodia. Histological analysis showed it to be a severely dysplastic melanocytic nevus.

Asynchronous telehealth: a scoping review of analytic studies

BACKGROUND

Asynchronous telehealth captures clinically important digital samples (e.g., still images, video, audio, text files) and relevant data in one location and subsequently transmits these files for interpretation at a remote site by health professionals without requiring the simultaneous presence of the patient involved and his or her health care provider. Its utility in the health care system, however, still remains poorly defined. We conducted this scoping review to determine the impact of asynchronous telehealth on health outcomes, process of care, access to health services, and health resources.

METHODS

A search was performed up to December 2006 of MEDLINE, CINAHL, HealthSTAR, the Database of Abstracts of Reviews of Effectiveness, and The Cochrane Library. Studies were included if they contained original data on the use of asynchronous telehealth and were published in English in a peer-reviewed journal. Two independent reviewers screened all articles and extracted data, reaching consensus on the articles and data identified. Data were extracted on general study characteristics, clinical domain, technology, setting, category of outcome, and results. Study quality (internal validity) was assessed using the Jadad scale for randomized controlled trials and the Downs and Black index for non-randomized studies. Summary data were categorized by medical specialty and presented qualitatively.

RESULTS

The scoping review included 52 original studies from 238 citations identified; of these 52, almost half focused on the use of telehealth in dermatology. Included studies were characterized by diverse designs, interventions, and outcomes. Only 16 studies were judged to be of high quality. Most studies showed beneficial effects in terms of diagnostic accuracy, wait times, referral management, and satisfaction with services. Evidence on the impact of asynchronous telehealth on resource use in dermatology suggests a reduction in the number of, or avoidance of, in-person visits. Reports from other clinical domains also described the avoidance of unnecessary transfer of patients.

CONCLUSIONS

A significant portion of the asynchronous telehealth literature involves its use in dermatology. Although the quality of many original studies remains poor, at least within dermatology, there is consistent evidence suggesting that asynchronous telehealth could lead to shorter wait times, fewer unnecessary referrals, high levels of patient and provider satisfaction, and equivalent (or better) diagnostic accuracy when compared with face-to-face consultations. With the exception of a few studies in pediatric asthma, the impact of this intervention on individual health outcomes remains unknown.

Current and emerging technologies in melanoma diagnosis: the state of the art

Relative to other specialties, dermatologists have been slow to adopt advanced technologic diagnostic aids. Most skin disease can be diagnosed by simple visual inspection, and the skin is readily accessible for a diagnostic biopsy. Diagnostic aids, such as total body photography and dermoscopy, improve the clinician's ability to diagnose melanoma beyond unaided visual inspection, however, and are now considered mainstream methods for early detection. Emerging technologies such as in vivo reflectance confocal microscopy are currently being investigated to determine their utility for noninvasive diagnosis of melanoma. This review summarizes the currently available cutaneous imaging devices and new frontiers in noninvasive diagnosis of skin disease. We anticipate that multimodal systems that combine different imaging technologies will further improve our ability to detect, at the bedside, melanoma at an earlier stage.

Maturity of teledermatology evaluation research: a systematic literature review

BACKGROUND

There is a growing interest in teledermatology in today's clinical practice, but the maturity of the evaluation research of this technology is still unclear.

OBJECTIVES

This systematic review describes the maturity of teledermatology evaluation research over time and explores what kind of teledermatology outcome measures have been evaluated.

METHODS

Systematic review of literature found in Medline database (1966 up to April 2006). A telemedicine evaluation strategy consisting of four consecutive research phases (parallel to drug and diagnostics evaluation research) extended with a fifth postimplementation phase was used to classify all included studies by two independent reviewers. In addition, main characteristics (store-and-forward or real-time, study design, outcome measures) were registered.

RESULTS

Three hundred and forty-five papers were systematically selected from Medline, and 244 papers were excluded. For two randomized controlled trials (RCTs), multiple papers in phase III were found. After correcting for this, 99 studies remained included (11 phase I, 72 phase II, two phase III, six phase IV, eight postimplementation phase). The number of phase II studies is the largest and still growing, while other phases are much less represented. Diagnostic accuracy was the most often used outcome measure and was found in phase I, II and IV. Store-and-forward teledermatology has been evaluated more since 2001, but most phase IV studies (RCTs, including cost aspects) are on real-time teledermatology.

CONCLUSIONS

Most teledermatology evaluation studies are classified as feasibility studies (phase II). The number of phase III and IV studies remains low through the years. Compared with other specialties in telemedicine (i.e. telesurgery, telepaediatrics), teledermatology seems to be a mature application. However, more evaluation studies with a focus on clinical outcomes such as preventable referrals or time to recovery are needed to prove that teledermatology indeed is a promising and cost-saving technology.

Digital dermoscopy in clinical practise: a three-centre analysis

BACKGROUND

Early detection of cutaneous melanoma is the most important step to improve prognosis. In recent years objective techniques have been developed to improve diagnostics of pigmented lesions superior to the naked eye. Digital dermoscopy offers several advantages such as independence from the investigator, format ready for teledermatology and image storage, and comparability.

SETTING

In a routine setting including three centres in Europe, i.e. Lugano and Locarno in Switzerland, and Dresden in Germany, the usefulness of digital dermoscopy in daily routine has been evaluated.

PATIENTS AND METHODS

Digital dermoscopy was performed with the DB-MIPS system in 1308 patients, and 3544 pigmented lesions were evaluated. A total of 466 pigmented lesions were surgically removed and classified by histopathology. Among those 52 melanomas and 299 dysplastic, naevi could be identified. DB-MIPS system evaluated 35 variables of geometrics, colour, colour distribution and texture. Lesion identification is realized by clustering. Another important part of the analysis was to study the decision making, i.e. removal or follow-up of lesions. The tendency to follow-up was defined as the ratio of (number of suspicious lesions-removed lesions)/suspicious lesions. The interventism is defined as the ratio of the number of removed lesions to the number of suspicious lesions.

RESULTS

The DB-MIPS system was robust and easy in handling in daily routine. The data analysis and digital imaging were realized in real time. Fifty-two melanomas could be identified including eight in situ melanomas and 33 T1a melanomas (thinner than 1 mm). Sensitivity of digital dermoscopy varied between 90% and 95% between the three centres. Specificity varied between 79.6% and 93.3%. The centres differed in the patient population, the mean diameter of pigmented lesions and decisions. Interventism varied between 36.3% and 76.0%, follow-up varied from 24% to 63%. Higher levels of clinician's false positive were associated with a higher percentage of interventism.

CONCLUSIONS

Digital dermoscopy offers advantages for daily routine in detection of early melanoma. Sensitivity and specificity for early melanomas is high and thereby, the experienced dermatologist can be easily supported in daily routine of a pigment lesion clinic to improve diagnostics and hopefully prognosis in cutaneous melanoma.

The additive value of second opinion teleconsulting in the management of patients with challenging inflammatory, neoplastic skin diseases: a best practice model in dermatology?

BACKGROUND

Telemedicine is the practice of healthcare using interactive processes of communication to facilitate healthcare delivery, including diagnosis, consultation and treatment, as well as education and transfer of medical data. The aim of teledermatology, just as telemedicine, is to promote best practice procedures and to improve the consistency and competence of health care.

AIM

To investigate the diagnostic additive value of second opinion teleconsulting in patients with challenging dermatoses, among dermatologists working in two different dermatology departments.

SETTING

Thirty-three cases of patients with challenging inflammatory and neoplastic skin diseases at the University of L'Aquila Department of Dermatology were sent for teleconsultation to the Department of Dermatology, Medical University of Graz, Austria.

METHODS

All cases were selected in the outpatient service in L'Aquila. After face-to-face consultation with a local colleague had been completed, images were sent using a store-and-forward (SAF)-based system (http://www.telederm.org) to Graz. Histopathological examination together with follow-up of the patient represents the diagnostic gold standard for this study.

RESULTS

Telediagnosis was correct in 26 of 33 (78.8%) cases. Sixteen of 33 cases (48.5%) had already been diagnosed face-to-face by at least one of the two dermatologists in L'Aquila. In 10 of 33 cases (30.3%), the correct diagnosis was made in teleconsultation only.

CONCLUSIONS

Second opinion teleconsulting may represent an additive value in the diagnosis of numerous challenging inflammatory and neoplastic skin diseases. It may be particularly useful as a best practice model for smaller departments in order to discuss and/or to confirm diagnoses and also for the management of patients with unusual difficult dermatoses.