Can an inexpensive light-emitting diode loupe magnification device be as good as an expensive dermatoscope?

BACKGROUND: Dermoscopy is an invaluable technique used in both primary and secondary care to provide clinical information for diagnosis of skin disorders. Access to dermatoscopes is limited because of their high cost that limits clinicians at early levels of training, as well as those in low-resource settings, from developing the essential skills of dermoscopy. Previous solutions that have been proposed to address this issue have failed to demonstrate sufficient evidence for their use as an alternative compared with the gold standard of a dermatoscope, making it difficult to justify adoption of such solutions. AIM: To assess the noninferiority of an inexpensive light-emitting diode (LED) loupe magnification device compared with a nonpolarized dermatoscope. METHOD: This study looked at 100 paired photographs of lesions taken with both devices and asked 26 clinicians to categorize the lesions. RESULTS: Considering the consistency of the responses, this study confirmed noninferiority of the inexpensive LED loupe magnification device. Our results showed that the LED loupe magnification device is noninferior within a 25% margin and performs 82% as well as a nonpolarized dermatoscope. CONCLUSION: Our findings encourage the implementation of use of the cheaper LED loupe magnification device both in the early stages of medical training and in settings where expensive dermatoscopes are not available.

Implementation of artificial intelligence algorithms for melanoma screening in a primary care setting.

Skin cancer is currently the most common type of cancer among Caucasians. The increase in life expectancy, along with new diagnostic tools and treatments for skin cancer, has resulted in unprecedented changes in patient care and has generated a great burden on healthcare systems. Early detection of skin tumors is expected to reduce this burden. Artificial intelligence (AI) algorithms that support skin cancer diagnoses have been shown to perform at least as well as dermatologists' diagnoses. Recognizing the need for clinically and economically efficient means of diagnosing skin cancers at early stages in the primary care attention, we developed an efficient computer-aided diagnosis (CAD) system to be used by primary care physicians (PCP). Additionally, we developed a smartphone application with a protocol for data acquisition (i.e., photographs, demographic data and short clinical histories) and AI algorithms for clinical and dermoscopic image classification. For each lesion analyzed, a report is generated, showing the image of the suspected lesion and its respective Heat Map; the predicted probability of the suspected lesion being melanoma or malignant; the probable diagnosis based on that probability; and a suggestion on how the lesion should be managed. The accuracy of the dermoscopy model for melanoma was 89.3%, and for the clinical model, 84.7% with 0.91 and 0.89 sensitivity and 0.89 and 0.83 specificity, respectively. Both models achieved an area under the curve (AUC) above 0.9. Our CAD system can screen skin cancers to guide lesion management by PCPs, especially in the contexts where the access to the dermatologist can be difficult or time consuming. Its use can enable risk stratification of lesions and/or patients and dramatically improve timely access to specialist care for those requiring urgent attention.

Nailfold capillary changes in newly diagnosed hypertensive patients: An observational analytical study.

INTRODUCTION: Nail Fold capillaroscopy (NFC) is used to evaluate microvascular changes in the horizontally lying capillaries in the proximal nail fold. Arterial hypertension affects the microvascular beds producing structural changes. Our objective was to evaluate qualitative and quantitative NFC changes in newly diagnosed hypertensives as compared to age and sex matched normotensive controls and to determine association, if any, with microvascular changes visualized on fundoscopy. MATERIALS AND METHODS: This observational, analytical study involved 41 newly diagnosed hypertensives (18-60 years) with 41 normotensive age and sex matched normotensive controls. The mean capillary density (MCD) and morphological changes were assessed for all, while fundoscopy was done for study group participants. The collected data was statistically analyzed. RESULTS: The MCD in newly diagnosed hypertensives (5.21 ± 0.90 capillaries/mm) was significantly lower than normotensive controls (6.50 ± 0.65 capillaries/mm) (p < 0.001) in our study. Qualitative morphologic changes were more common in hypertensive patients including meandering capillaries, capillary dilation, avascular areas, bushy capillaries, and microhemorrhages (p value <0.001). Capillary disarray (73.17%) was a unique morphologic change seen significantly more commonly in study group (p < 0.001). Among hypertensives, MCD was lesser in patients with retinopathy (p = 0.125) and with microalbuminuria, while avascular areas and dilated capillaries were significantly more common. CONCLUSION: Our study supports the role of NFC with USB dermatoscope in detecting unique microvascular morphological alterations in hypertensives, which were more frequent as well as distinctive, as compared to healthy controls. A good correlation with fundoscopic features and microalbuminuria suggests that it could be useful in predicting/detecting cardiovascular, or renal complications early, with an advantage of easy accessibility and repeatability.

Reflectance confocal microscopy: Principles, basic terminology, clinical indications, limitations, and practical considerations.

Reflectance confocal microscopy (RCM) is a noninvasive imaging tool used for in vivo visualization of the skin. It has been extensively studied for use in the evaluation of equivocal cutaneous neoplasms to decrease the number of biopsy procedures in patients with benign lesions. Furthermore, its applications are broadening to include presurgical cancer margin mapping, tumor recurrence surveillance, monitoring of ablative and noninvasive therapies, and stratification of inflammatory disorders. With the approval of category I Current Procedural Terminology reimbursement codes for RCM image acquisition and interpretation, use of this technology has been increasingly adopted by dermatologists. The first article in this 2-part continuing medical education series highlights basic terminology, principles, clinical applications, limitations, and practical considerations in the clinical use of RCM technology.

Reflectance confocal microscopy: Diagnostic criteria of common benign and malignant neoplasms, dermoscopic and histopathologic correlates of key confocal criteria, and diagnostic algorithms.

Reflectance confocal microscopy (RCM) is a high-resolution, noninvasive tool that is currently approved by the US Food and Drug Administration for obtaining and interpreting images of the skin and cutaneous neoplasms with the goal of decreasing unnecessary biopsy procedures in patients with benign lesions. The second article in this continuing medical education series focuses on identifying key criteria for the diagnosis of common skin cancers-melanoma, basal cell carcinoma, and squamous cell carcinoma. We contrast these findings with RCM features of common benign lesions-melanocytic nevi, solar lentigo, seborrheic keratosis, lichen planus-like keratosis, and sebaceous hyperplasia. We also correlate the dermoscopic and histopathologic findings with the RCM features.

Accuracy of an Affordable Smartphone-Based Teledermoscopy System for Color Measurements in Canine Skin.

Quality smartphone cameras and affordable dermatoscopes have enabled teledermoscopy to become a popular medical and veterinary tool for analyzing skin lesions such as melanoma and erythema. However, smartphones acquire images in an unknown RGB color space, which prevents a standardized colorimetric skin analysis. In this work, we supplemented a typical veterinary teledermoscopy system with a conventional color calibration procedure, and we studied two mid-priced smartphones in evaluating native and erythematous canine skin color. In a laboratory setting with the ColorChecker, the teledermoscopy system reached CIELAB-based color differences ΔE of 1.8-6.6 (CIE76) and 1.1-4.5 (CIE94). Intra- and inter-smartphone variability resulted in the color differences (CIE76) of 0.1, and 2.0-3.9, depending on the selected color range. Preliminary clinical measurements showed that canine skin is less red and yellow (lower a* and b* for ΔE of 10.7) than standard Caucasian human skin. Estimating the severity of skin erythema with an erythema index led to errors between 0.5-3%. After constructing a color calibration model for each smartphone, we expedited clinical measurements without losing colorimetric accuracy by introducing a simple image normalization on a white standard. To conclude, the calibrated teledermoscopy system is fast and accurate enough for various colorimetric applications in veterinary dermatology.