Explore the vast range of titles available.

Background In clinical practice, the quality of images may vary depending on the imaging device, and the focus of the dermoscope is on the superficial layer of the lesion. Therefore, it is desirable to have a dermoscopy device that can easily focus on any lesion and clearly show the findings. Objectives We conducted a clinical study to compare dermoscopic images of the same skin tumours obtained using a prototype dermoscopy camera, DZ‐D100 (DD, Casio Computer Co., Ltd.), and three existing dermoscopy imaging devices (Derma9500S®‐GR or DG, Derma Medical Inc.; DELTA 20® T or DT, HEINE Optotechnik; and DermLite Foto II Pro® or DF, DermLite LLC). Methods Dermoscopic images of 117 skin tumours from 94 patients who visited Chiba University Hospital were evaluated by two experts in terms of the focus, and the clarity and presence or absence (the primary endpoint) of seven findings (pigmented lines, shiny white lines, dots/globules, blue‐grey structures, vascular structures, milia‐like cysts and comedo‐like openings). Results No significant differences in the number of cases with each of the seven findings (pigmented lines, shiny white lines, dots/globules, blue‐grey structures, vascular structures, milia‐like cysts and comedo‐like openings) among the four groups were observed. The clarity of focus was significantly better with the DD than with the other three devices (all, p < 0.05). Pigmented lines were significantly clearer with the DD than with the DF and DT (all, p < 0.05). A strong correlation was found between the focus and clarity of pigmented lines/globules, blue‐grey structures and vascular structures (all, p < 0.005). Conclusions DD was less affected by elevated lesions and was considered to be the easiest to focus and recognize brown to black lines and dots/globules. The well‐focused captured images are also expected to be applied to diagnosis by artificial intelligence.

Background Light absorption by melanin is greater in the ultraviolet spectrum than in the visible light spectrum. Purple light in the near‐ultraviolet–visible region (380–430 nm) also corresponds to a highly absorptive wavelength of melanin. Therefore, images captured under purple light are remarkably suited to detect subtle alterations in skin pigment contents. Objectives We compared two prototype dermoscopy cameras (DZ‐D100; Casio Computer Co., Ltd.): one with a 385 nm light (P385) and the other with a 405 nm light (P405), to clarify which wavelength could more clearly show dermoscopic structures. Methods Sixteen Japanese patients with 19 lesions, who visited our department were photographed with the P385 and P405 cameras under the same conditions. We evaluated the visual perception of lines, dots/clods, lesion borders and background around the lesion, as well as exposure, including appropriate brightness and underexposure, using the scores. Results Underexposure was significantly less in the P385 image than in the P405 image (p < 0.0001), while lines (p < 0.01) and lesion borders (p < 0.05) were significantly more distinct. Furthermore, visual perception of lines (p < 0.01) and lesion borders (p < 0.05) were significantly better in the P385 images. However, other visual perception items showed no significant differences between the two images. One exception was with the dermoscopy of melanocytic naevus in a patient with albinism, where the lines and dots/clods were clear in the P405 image but blurred in the P385 image. Conclusions When used as a complement to conventional dermoscopy images, the P385 images are thought to be less underexposed and easier to use in diagnosing lesions in slightly pigmented skin types, including in the Japanese who were the participants of this study. Meanwhile, the P405 images are potentially useful in the evaluation of light skin‐type lesions. Two dermoscopy cameras (p385 and p405) with prototype 385 nm and 405 nm violet wavelengths were used to observe which one clearly showed subtle changes in skin pigmentation and dermoscopic structure. The p385 images were significantly less underexposed than the p405 images, and the lines and lesion borders were significantly clearer. p385 images may be useful in diagnosing lesions in slightly pigmented skin types, while p405 images may be useful in evaluating lesions in lighter skin types.

Despite being early-stage tumors, thin cutaneous melanomas contribute significantly to mortality and have a rising incidence. A retrospective case–control study was performed to identify clinical–dermoscopic and histopathological variables linked to local and distant metastases in melanomas ≤0.8 mm. Data from 1 January 2000 to 22 June 2022 were analyzed from two Italian skin cancer referral centers. Sixteen patients with ≤0.8 mm melanomas developing metastases were studied compared to controls without metastases over 5 years. Statistical analysis involved Pearson’s chi-squared test or Fisher’s exact test. Of the 1396 cases, 1.1% progressed. The median diagnosis age was 49 (range 28–83), with 56.3% men and 43.7% women. The torso was the primary tumor site (43.7%). Clinically, lesions were pigmented (>10 mm diameter: 73.3%, ≥3 colors: 80%). Dermoscopically, the common features were white patches (73.3%), atypical vascular patterns (66.5%), blue-gray areas (60%) and absent pigment networks (60%). Histopathologically, all cases had adverse features like regression (87.4%), dermal mitoses (50%), a vertical growth phase (62.5%) and ulceration (12.5%). These findings were statistically significant compared to controls (p < 0.05). In ≤0.8 mm melanomas, specific clinical–dermoscopic traits might indicate higher metastatic potential when paired with adverse histopathological features.

Acne scarring is a common sequela of acne vulgaris, which seriously affects facial esthetics. The treatment options for acne scars vary depending on the development stage, color, type, and location of scarring. The objective and precise assessment of acne scars is a prerequisite for treatment, and it is also an important means of monitoring the treatment effect. The traditional methods to evaluate the types and severity grade of acne scars are primarily based on subjective assessment by physicians, which lacks objectivity and accuracy. Novel noninvasive skin imaging techniques, such as skin surface imaging analysis systems, dermoscopy, reflectance confocal microscopy (RCM), high-frequency ultrasound (HFUS), optical coherence tomography (OCT), and multiphoton tomography (MPT), provide new tools for the rapid and objective assessment of acne scars. This article reviews the progress of skin imaging techniques in the diagnosis, classification, and efficacy evaluation of acne scars.

Significance: The rates of melanoma and nonmelanoma skin cancer are rising across the globe. Due to a shortage of board-certified dermatologists, the burden of dermal lesion screening and erythema monitoring has fallen to primary care physicians (PCPs). An adjunctive device for lesion screening and erythema monitoring would be beneficial because PCPs are not typically extensively trained in dermatological care. Aim: We aim to examine the feasibility of using a smartphone-camera-based dermascope and a USB-camera-based dermascope utilizing polarized white-light imaging (PWLI) and polarized multispectral imaging (PMSI) to map dermal chromophores and erythema. Approach: Two dermascopes integrating LED-based PWLI and PMSI with both a smartphone-based camera and a USB-connected camera were developed to capture images of dermal lesions and erythema. Image processing algorithms were implemented to provide chromophore concentrations and redness measures. Results: PWLI images were successfully converted to an alternate colorspace for erythema measures, and the spectral bandwidth of the PMSI LED illumination was sufficient for mapping of deoxyhemoglobin, oxyhemoglobin, and melanin chromophores. Both types of dermascopes were able to achieve similar relative concentration results. Conclusion: Chromophore mapping and erythema monitoring are feasible with PWLI and PMSI using LED illumination and smartphone-based cameras. These systems can provide a simpler, more portable geometry and reduce device costs compared with interference-filter-based or spectrometer-based clinical-grade systems. Future research should include a rigorous clinical trial to collect longitudinal data and a large enough dataset to train and implement a machine learning-based image classifier.

Over recent years, there has been an increase in popularity of the acquisition of dermoscopic skin lesion images using mobile devices, more specifically using the smartphone camera. The demand for self-care and telemedicine solutions requires suitable methods to guide and evaluate the acquired images’ quality in order to improve the monitoring of skin lesions. In this work, a system for automated focus assessment of dermoscopic images was developed using a feature-based machine learning approach. The system was designed to guide the user throughout the acquisition process by means of a preview image validation approach that included artifact detection and focus validation, followed by the image quality assessment of the acquired picture. This paper also introduces two different datasets, dermoscopic skin lesions and artifacts, which were collected using different mobile devices to develop and test the system. The best model for automatic preview assessment attained an overall accuracy of 77.9% while focus assessment of the acquired picture reached a global accuracy of 86.2%. These findings were validated by implementing the proposed methodology within an android application, demonstrating promising results as well as the viability of the proposed solution in a real life scenario.

Background/Objectives: Primary cutaneous lymphomas (PCL) are a heterogeneous group of non-Hodgkin lymphomas arising from malignant T (CTCL) or B (CBCL) cells, often mimicking other skin conditions. Recently, non-invasive diagnostic imaging modalities, including dermoscopy, Reflectance Confocal Microscopy (RCM), and Line-field Optical Coherence Tomography (LC-OCT), have become increasingly important, supporting clinicians in clinical practice. Hence, our study aimed to describe dermoscopic, RCM, and LC-OCT features of PCL and to explore their role in PCL management. Methods: Between December 2022 and January 2024, 40 lesions of 25 patients with PCL were retrospectively analyzed at the Dermatologic Unit of the University of Siena, Italy. Predefined dermoscopic, LC-OCT, and RCM criteria were assessed and their frequencies were calculated. Results: At dermoscopy, CTCL lesions were characterized by pinkish structureless areas (58,6%) and homogeneous distributed dotted vessels (35,7%), whereas 57.1% of CBCL presented with orange-yellow structureless areas. Considering CTCL, lymphocytes in the epidermis, dermal-epidermal junction, and dermis were detected by LC-OCT in 73.1%, 66.7%, and 51.9% and by RCM in 72.2%, 55.6%, and 61.1% of cases, respectively. The detection of lymphocytes was more precise using RCM than LC-OCT in CTCL (p < 0.001). Dermal infiltration of medium-reflective cells was visible in 80% and 40% of CBCL cases by LC-OCT and RCM, respectively. Conclusions: Non-invasive imaging techniques may support clinicians in managing PCL; however, further studies are mandatory in this field.

Purpose: To improve the diagnostic accuracy and optimal management of pediatric melanomas. Methods: We conducted a retrospective descriptive, multicenter study of the epidemiological, clinical, and dermoscopic characteristics of histopathologically proven melanomas diagnosed in patients less than 18 years old. Data on sociodemographic variables, clinical and dermoscopic characteristics, histopathology, local extension, therapy and follow-up, lymph node staging, and outcome were collected from the databases of three Italian dermatology units. We performed a clinical evaluation of the morphological characteristics of each assessed melanoma, using both classic ABCDE criteria and the modified ABCDE algorithm for pediatric melanoma to evaluate which of the two algorithms best suited our series. Results: The study population consisted of 39 patients with a histologically confirmed diagnosis of pediatric melanoma. Comparing classic ABCDE criteria with the modified ABCDE algorithm for pediatric melanomas, the modified pediatric ABCDE algorithm was less sensitive than the conventional criteria. Dermoscopically, the most frequent finding was the presence of irregular streaks/pseudopods (74.4%). When evaluating the total number of different suspicious dermoscopy criteria per lesion, 64.1% of the lesion assessments recognized two dermoscopic characteristics, 20.5% identified three, and 15.4% documented four or more assessments. Conclusions: Contrary to what has always been described in the literature, from a clinical point of view, about 95% of our cases presented in a pigmented and non-amelanotic form, and these data must be underlined in the various prevention campaigns where pediatric melanoma is currently associated with a more frequently amelanotic form. All the pediatric melanomas analyzed presented at least two dermoscopic criteria of melanoma, suggesting that this could be a key for the dermoscopic diagnosis of suspected pediatric melanoma, making it possible to reach an early diagnosis even in this age group.

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.

Melanoma incidence continues to increase across many populations globally and there is significant mortality associated with advanced disease. However, if detected early, patients have a very promising prognosis. The methods that have been utilized for early detection include clinician and patient skin examinations, dermoscopy (static and sequential imaging), and total body photography via 2D imaging. Total body photography has recently witnessed an evolution from 2D imaging with the ability to now create a 3D representation of the patient linked with dermoscopy images of individual lesions. 3D total body photography is a particularly beneficial screening tool for patients at high risk due to their personal or family history or those with multiple dysplastic naevi-the latter can make monitoring especially difficult without the assistance of technology. In this perspective, we discuss clinical examples utilizing 3D total body photography, associated advantages and limitations, and future directions of the technology. The optimal system for melanoma screening should improve diagnostic accuracy, be time and cost efficient, and accessible to patients across all demographic and socioeconomic groups. 3D total body photography has the potential to address these criteria and, most importantly, optimize crucial early detection.