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Objective This study aimed to assess the efficacy of type A botulinum toxin treatment for androgenetic alopecia (AGA) using a combination of ultrasound and trichoscopy. Methods Ninety patients with AGA who visited the Department of Dermatology at the Second Affiliated Hospital of Soochow University from September 2021 to December 2022 were prospectively selected. These patients met the diagnostic criteria outlined in the Chinese Guidelines for the Diagnosis and Treatment of Androgenetic Alopecia. The alopecia severity in the male patients ranged between grades 2 and 4 on the Norwood‐Hamilton Scale. The patients were randomly assigned to receive injections of the same type of biological agent in a double‐blind manner, with injection sites being the vertex or bilateral temporal–frontal hairline. In this study, the botulinum toxin group comprised 72 patients who received a biological agent with 100 units of type A botulinum toxin. The control group included 18 patients, and the biological agent administered to them contained 0 units of type A botulinum toxin. The patients were observed using 22‐MHz ultrasound and trichoscopy before treatment, and 1 month and 3 months after treatment to compare the differences in various parameters at the injection sites. The ultrasound parameters included average follicle width, length, and count. The trichoscopy parameters were the number of hairs within a 1‐cm2 area on the counting scale. No artificial interventions were performed at the injection sites, and all examination conditions were consistent. Results The patients in the botulinum toxin group had wider and longer average follicle width and length at the vertex 1 month and 3 months after treatment (p < 0.05), and wider and longer average follicle width and length in the left frontal area 3 months after treatment (p < 0.05) compared with those in the control group. The average follicle width and length gradually increased after treatment in the botulinum toxin group (p < 0.05), but no statistically significant differences were found in the control group (p > 0.05). The patients in the botulinum toxin group exhibited greater average follicle lengths after treatment at the vertex compared with the left frontal area (p < 0.05). No statistically significant differences were found in follicle count (p > 0.05) or hair count (p > 0.05) between the botulinum toxin and control groups after injection treatment. Conclusions The follicle width and length are effective parameters for evaluating the efficacy of type A botulinum toxin treatment for AGA. Ultrasound revealed that the changes in follicles at the vertex occurred earlier than those in the left frontal area following treatment. Additionally, the changes in follicles were detected earlier than the changes in hair count using ultrasound. Ultrasound combined with trichoscopy provided more parameters for evaluating the efficacy of type A botulinum toxin treatment for AGA, resulting in a more comprehensive evaluation.

A major deleterious side effect of glucocorticoids is skin atrophy. Glucocorticoids activate the glucocorticoid and the mineralocorticoid (MR) receptor, both present in the epidermis. We hypothesized that glucocorticoid-induced epidermal atrophy may be related to inappropriate occupancy of MR by glucocorticoids. We evaluated whether epidermal atrophy induced by the topical glucocorticoid clobetasol could be limited by coadministration of MR antagonist. In cultured human skin explants, the epidermal atrophy induced by clobetasol was significantly limited by MR antagonism (canrenoate and eplerenone). Blockade of the epithelial sodium channel ENaC by phenamil was also efficient, identifying a role of MR–ENaC cascade in keratinocytes, acting through restoration of clobetasol-induced impairment of keratinocyte proliferation. In the SPIREPI randomized double-blind controlled trial, gels containing clobetasol, the MR antagonist spironolactone, both agents, or placebo were applied on four zones of the forearms of 23 healthy volunteers for 28 days. Primary outcome was histological thickness of the epidermis with clobetasol alone or clobetasol+spironolactone. Spironolactone alone did not affect the epidermal thickness but coapplication of clobetasol and spironolactone significantly limited clobetasol-induced atrophy and was well tolerated. Altogether, these findings identify MR as a factor regulating epidermal homeostasis and suggest that topical MR blockade could limit glucocorticoid-induced epidermal atrophy.

AbstractObjectiveTo examine the validity and findings of studies that examine the accuracy of algorithm based smartphone applications (“apps”) to assess risk of skin cancer in suspicious skin lesions.DesignSystematic review of diagnostic accuracy studies.Data sourcesCochrane Central Register of Controlled Trials, MEDLINE, Embase, CINAHL, CPCI, Zetoc, Science Citation Index, and online trial registers (from database inception to 10 April 2019).Eligibility criteria for selecting studiesStudies of any design that evaluated algorithm based smartphone apps to assess images of skin lesions suspicious for skin cancer. Reference standards included histological diagnosis or follow-up, and expert recommendation for further investigation or intervention. Two authors independently extracted data and assessed validity using QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies 2 tool). Estimates of sensitivity and specificity were reported for each app.ResultsNine studies that evaluated six different identifiable smartphone apps were included. Six verified results by using histology or follow-up (n=725 lesions), and three verified results by using expert recommendations (n=407 lesions). Studies were small and of poor methodological quality, with selective recruitment, high rates of unevaluable images, and differential verification. Lesion selection and image acquisition were performed by clinicians rather than smartphone users. Two CE (Conformit Europenne) marked apps are available for download. No published peer reviewed study was found evaluating the TeleSkin skinScan app. SkinVision was evaluated in three studies (n=267, 66 malignant or premalignant lesions) and achieved a sensitivity of 80% (95% confidence interval 63% to 92%) and a specificity of 78% (67% to 87%) for the detection of malignant or premalignant lesions. Accuracy of the SkinVision app verified against expert recommendations was poor (three studies).ConclusionsCurrent algorithm based smartphone apps cannot be relied on to detect all cases of melanoma or other skin cancers. Test performance is likely to be poorer than reported here when used in clinically relevant populations and by the intended users of the apps. The current regulatory process for awarding the CE marking for algorithm based apps does not provide adequate protection to the public.Systematic review registrationPROSPERO CRD42016033595.

Background: Health professionals are required to make complex decisions in dynamic contexts involving many variables and factors. Decisions are more difficult in the presence of uncertainty, urgency and high risk. Objective: To evaluate the effect of ambient stressors and time constraints on decision making by expert dermatologists faced with borderline pigmented skin lesions (PSL) (early melanoma vs. atypical nevi). Methods: We performed a retrospective chart review of PSL from the image databases of our department. A total of 321 PSL (219 nevi and 102 melanomas) were randomly assigned to three groups: control group, ambient stress group and time stress group. The diagnostic accuracy of each group was evaluated as sensitivity and specificity. Results: Mean sensitivity and specificity of diagnosis were 69.2 and 90.5% in the control group, 62 and 81.2% in the ambient stress group and 59.6 and 82.5% in the time stress group, respectively. Conclusion: Time constraints and stressors negatively influenced the performance of dermatologists in the diagnosis of atypical PSL.

In a computer-aided diagnostic (CAD) system for skin lesion segmentation, variations in shape and size of the skin lesion makes the segmentation task more challenging. Lesion segmentation is an initial step in CAD schemes as it leads to low error rates in quantification of the structure, boundary, and scale of the skin lesion. Subjective clinical assessment of the skin lesion segmentation results provided by current state-of-the-art deep learning segmentation techniques does not offer the required results as per the inter-observer agreement of expert dermatologists. This study proposes a novel deep learning-based, fully automated approach to skin lesion segmentation, including sophisticated pre and postprocessing approaches. We use three deep learning models, including UNet, deep residual U-Net (ResUNet), and improved ResUNet (ResUNet++). The preprocessing phase combines morphological filters with an inpainting algorithm to eliminate unnecessary hair structures from the dermoscopic images. Finally, we used test time augmentation (TTA) and conditional random field (CRF) in the postprocessing stage to improve segmentation accuracy. The proposed method was trained and evaluated on ISIC-2016 and ISIC-2017 skin lesion datasets. It achieved an average Jaccard Index of 85.96% and 80.05% for ISIC-2016 and ISIC-2017 datasets, when trained individually. When trained on combined dataset (ISIC-2016 and ISIC-2017), the proposed method achieved an average Jaccard Index of 80.73% and 90.02% on ISIC-2017 and ISIC-2016 testing datasets. The proposed methodological framework can be used to design a fully automated computer-aided skin lesion diagnostic system due to its high scalability and robustness.

Background Advances in treatment have increased childhood cancer 5-year survival rates to greater than 80%. However, children previously treated with radiation are at significantly increased risk of developing subsequent neoplasms, the most common of which are skin cancers. The National Cancer Institute and Children’s Oncology Group have issued recommendations for survivors treated with radiation to perform monthly skin self-examinations and receive a physician skin examination at least annually, as early detection has demonstrated markedly improved outcomes in the diagnosis and treatment of skin cancers. The goal of the present study is to increase rates of skin self-examinations and clinical skin examinations among adult survivors of childhood cancer treated with radiation. Methods/Design This randomized controlled trial uses a 3-group comparative effectiveness design comparing: (1) Patient Activation and Education (PAE) including text messaging, print and web-based tutorials over 12 months; (2) PAE plus physician activation (PAE + MD) adding physician activation/educational materials about survivors’ increased skin cancer risk and conducting full-body skin exams; and (3) PAE plus physician activation, plus teledermoscopy (PAE + MD + TD) adding participant receipt of a dermatoscope intended to empower them to photograph suspect moles or lesions for review by the study dermatologist. Discussion The current study addresses barriers to screening in this population by providing educational and motivational information for both survivors and physicians regarding the value of periodic skin examinations. It also utilizes innovative mobile health technology to encourage and motivate (that is activate) survivors to conduct skin self-examinations, request physician exams, and obtain treatment when worrisome lesions are found. Finally, as a comparative effectiveness trial, this study isolates the effects of adding specific components to the patient activation intervention to test the most effective intervention for enhancing skin examination vigilance among this high-risk group. Trial registration Clinicaltrials.gov: NCT02046811 ; Registration date: 22 January 2014.

Background: Even though seborrheic keratoses (SK) have been well characterized clinically and histopathologically, data regarding clinical and dermoscopic correlation of different types of SK are inadequate. Aims: We carried out a study to establish any correlation between the clinical and dermoscopic appearance of SK and its variants. Methods: This was a descriptive study conducted in the Department of Dermatology, a tertiary care institute, from August 2008 to June 2010. Patients with SK were evaluated with respect to age, sex, age of onset, duration, site of lesions, number of lesions, and morphology. Dermoscopy was performed in all cases. Results: A total of 250 cases of SK were recruited. A male-to-female ratio was 1:1.04. The most common age group affected by SK was 60 years and above (40%). The most common clinical variant was common seborrheic keratosis (CSK) (60%). Comedo-like openings (CL) (80%), fissures and ridges (FR) (52%), and sharp demarcation (SD) (83%) were consistent finding on dermoscopy in CSK. Dermatosis papulosa nigra (DPN) and pedunculated seborrheic keratoses (PSK) had characteristic CL and FR in both of them. Fingerprint (FP) (55%) and network-like (NL) (88%) structures were commonly seen in flat SK. Stucco keratoses demonstrated SD (100%) and NL structures (100%). Conclusions: The most common clinical variant of SK was CSK, followed by DPN, PSK, Flat SK, and stucco keratoses. Dermoscopic findings were consistent with those described in the literature.