-
International Journal of... 2021Chronic ulcerative stomatitis (CUS) is a chronic, ulcerative condition of the oral cavity, clinically and histologically similar to oral lichen planus (OLP), first...
OBJECTIVES
Chronic ulcerative stomatitis (CUS) is a chronic, ulcerative condition of the oral cavity, clinically and histologically similar to oral lichen planus (OLP), first described as a new disease entity in 1990 by Parodi et al. In this review, 30 years after our first description of CUS, we aimed to systematically review the literature of CUS cases reported ever since.
METHODS
We present a systematic review of CUS literature cases, performed in compliance with the PRISMA statement.
RESULTS
Of 125 retrieved articles, 20 satisfied inclusion criteria. These described 76 CUS cases, all presenting orally evident disease: erosions (55%), white lesions (49%), erythema (49%), ulcerations (34%) were the most frequent signs; 54% experienced discomfort/pain. Topographically, buccal mucosa (68%) and gingiva (54%) were the most affected locations, followed by tongue (42%), hard palate (27%), labial mucosa (22%), and widespread involvement (15%). Great diagnostic delay (6.3 years) was evidenced highlighting CUS is an entity too often misdiagnosed. Histopathology found lichenoid features (46%) and non-specific inflammation (54%). Extra-oral involvement was reported in 21%, especially as LP (69%). Of DIF, 97% were positive; 3% negative, compensated by positive IIF, permitting diagnosis. Of patients on steroids, only 12% reported therapeutic success; most steroid-non-responsive patients passed to antimalarials, with 91.66% success when used alone, 100% success in combination therapy.
CONCLUSION
Dermatologists should suspect CUS in chronic steroid-unresponsive erosive/ulcerative stomatitis. In these cases, to diagnose CUS, the presence of stratified epithelium-specific antinuclear antibodies (SES-ANA) should be investigated through immunofluorescence. Once diagnosed, CUS can be treated with antimalarials, which are an effective treatment contrarily to corticosteroids.
Topics: Antibodies, Antinuclear; Antimalarials; Chronic Disease; Humans; Steroids; Stomatitis
PubMed: 34666534
DOI: 10.1177/20587384211052437 -
Frontiers in Medicine 2021Melasma is an acquired pigmentation disorder with challenges in treatment because of its refractory nature and high risk of recurrence. This study aimed to compare the...
Melasma is an acquired pigmentation disorder with challenges in treatment because of its refractory nature and high risk of recurrence. This study aimed to compare the efficacy and side effects of 14 common therapies for melasma using a systematic review and network meta-analysis (NMA). The PubMed, Embase, and Cochrane Library databases were searched till December 2020 using the melasma area and severity index as a therapeutic index. A total of 59 randomized controlled trials (RCTs) met the inclusion criteria and were selected. The ranking of relative efficacy compared with placebo in descending order was Q-switched Nd:Yag 1,064-nm laser (QSND), intense pulsed light, ablative fractional laser (AFL), triple combined cream (TCC), topical vitamin C, oral tranexamic acid (oTA), peeling, azelaic acid, microneedles (MNs), topical tranexamic acid (tTA), tretinoin, picosecond laser, hydroquinone (HQ), and non-AFL. Moreover, QSND was more effective than HQ and tTA against melasma. The ranking of percentage (%) of side effects in ascending order for each of 14 therapies with more than 80 participants was tretinoin (10.1%), oTA (17.6%), HQ (18.2%), AFL (20.0%), QSND (21.5%), TCC (25.7%), tTA (36.75%), peeling (38.0%), and MN (52.3%). Taking both efficacy and safety into consideration, TCC was found to be the most favorable selection among the topical drugs for melasma. QSND and AFL were still the best ways to treat melasma among photoelectric devices. oTA as system administration was a promising way recommended for melasma. Among 31 studies, 87% (27/31) studies showed that the efficacy of combination therapies is superior to that of single therapy. The quality of evidence in this study was generally high because of nearly 50% of split-face RCTs. Based on the published studies, this NMA indicated that QSND, AFL, TCC, and oTA would be the preferred ways to treat melasma for dermatologists. However, more attention should be paid to the efficacy and safety simultaneously during the clinical application. Most of the results were in line with those of the previous studies, but a large number of RCTs should be included for validation or update. identifier: CRD42021239203.
PubMed: 34660626
DOI: 10.3389/fmed.2021.713554 -
Allergy, Asthma, and Clinical... Sep 2021Atopic dermatitis is the most common chronic inflammatory skin disease and presents a major public health burden worldwide. Recent observational studies revealed the... (Review)
Review
BACKGROUND
Atopic dermatitis is the most common chronic inflammatory skin disease and presents a major public health burden worldwide. Recent observational studies revealed the potential association between atopic dermatitis with autoimmune disorders. However, there is no meta-analysis of the prevalence or incidence of autoimmune diseases in atopic dermatitis. Therefore, considering the potential clinical implications of these associations, we aimed to assess the risk of autoimmune diseases in patients with atopic dermatitis using this method.
METHODS
PubMed, Embase, and Web of Science were searched from inception to October, 2020. Observational studies which provided estimate effects with 95% CI or raw data were included. The quality of selected studies was evaluated using the Newcastle-Ottawa Scale. Odds ratio and relative risks were pooled using a random effects model and expressed with 95% confidence intervals.
RESULTS
Fourteen observational studies were included in this systematic review and meta-analysis. The random-effects meta-analysis of case-control and cross-sectional studies showed a significant association of atopic dermatitis with mutiple autoimmune diseases, including alopecia areata, celiac disease, Crohn's disease, rheumatoid arthritis, systematic lupus erythematosus, ulcerative colitis and vitiligo. Furthermore, pooling of the results of cohort studies showed that patients with atopic dermatitis were more likely to develop these autoimmune diseases.
CONCLUSION
Our meta-analysis showed that patients with atopic dermatitis were at higher risk of multiple autoimmune diseases including alopecia areata, celiac disease, Crohn's disease, rheumatoid arthritis, systematic lupus erythematosus, ulcerative colitis and vitiligo. It is important for early detection of the affected group so that timely management can be initiated. Dermatologists and allergists should be aware of the autoimmune diseases in patients with atopic dermatitis and develop interventions if necessary. Also, limited by the present research, we still require more large-scale studies to further establish the association between atopic dermatitis and autoimmune diseases.
PubMed: 34563251
DOI: 10.1186/s13223-021-00597-4 -
European Journal of Cancer (Oxford,... Oct 2021Multiple studies have compared the performance of artificial intelligence (AI)-based models for automated skin cancer classification to human experts, thus setting the...
BACKGROUND
Multiple studies have compared the performance of artificial intelligence (AI)-based models for automated skin cancer classification to human experts, thus setting the cornerstone for a successful translation of AI-based tools into clinicopathological practice.
OBJECTIVE
The objective of the study was to systematically analyse the current state of research on reader studies involving melanoma and to assess their potential clinical relevance by evaluating three main aspects: test set characteristics (holdout/out-of-distribution data set, composition), test setting (experimental/clinical, inclusion of metadata) and representativeness of participating clinicians.
METHODS
PubMed, Medline and ScienceDirect were screened for peer-reviewed studies published between 2017 and 2021 and dealing with AI-based skin cancer classification involving melanoma. The search terms skin cancer classification, deep learning, convolutional neural network (CNN), melanoma (detection), digital biomarkers, histopathology and whole slide imaging were combined. Based on the search results, only studies that considered direct comparison of AI results with clinicians and had a diagnostic classification as their main objective were included.
RESULTS
A total of 19 reader studies fulfilled the inclusion criteria. Of these, 11 CNN-based approaches addressed the classification of dermoscopic images; 6 concentrated on the classification of clinical images, whereas 2 dermatopathological studies utilised digitised histopathological whole slide images.
CONCLUSIONS
All 19 included studies demonstrated superior or at least equivalent performance of CNN-based classifiers compared with clinicians. However, almost all studies were conducted in highly artificial settings based exclusively on single images of the suspicious lesions. Moreover, test sets mainly consisted of holdout images and did not represent the full range of patient populations and melanoma subtypes encountered in clinical practice.
Topics: Automation; Biopsy; Clinical Competence; Deep Learning; Dermatologists; Dermoscopy; Diagnosis, Computer-Assisted; Humans; Image Interpretation, Computer-Assisted; Melanoma; Microscopy; Neural Networks, Computer; Pathologists; Predictive Value of Tests; Reproducibility of Results; Skin Neoplasms
PubMed: 34509059
DOI: 10.1016/j.ejca.2021.06.049 -
Frontiers in Medicine 2021Psoriasis continues to have unmet needs in its management despite introduction of newer molecules. Monotherapy with these newer agents may not achieve therapeutic goals...
Psoriasis continues to have unmet needs in its management despite introduction of newer molecules. Monotherapy with these newer agents may not achieve therapeutic goals in all cases, hence necessitating their combinations with other molecules. Improved understanding of newer as well as conventional treatment modalities and experiences in their combinations hence necessitates therapeutic guidelines for their use in psoriasis. To review the combinations of treatments reported in literature and recommendations for their use based on best current evidence in literature. A literature review of MEDLINE database for studies evaluating combinations of newer therapies with conventional therapies in psoriasis was done. Newer therapies were identified as biologic disease modifying anti rheumatic drugs and other molecules such as apremilast while conventional therapies included methotrexate, cyclosporine, or retinoids, phototherapy and others. The therapeutic guidelines are proposed with the aim to provide evidenced based approach to combine newer and conventional agents in day-to-day psoriasis management. Combination of acitretin and narrow band ultraviolet B (NB-UVB)/Psoralen with ultraviolet A (PUVA) achieves faster clearance and allows reduction of dose of the latter. A variable outcome is reported of methotrexate with TNF-α inhibitors vs. TNF-α inhibitors alone, although addition of methotrexate appears to reduce immunogenicity of TNF-α inhibitors thereby preventing formation of anti-drug antibodies especially in case of infliximab. While combination of acitretin and PUVA is beneficial, combining TNF-α inhibitors and phototherapy too produces better and faster results but long term risks of Non Melanoma Skin Cancers (NMSCs) may preclude their use together. Combination of cyclosporine and phototherapy is not recommended due to greater chances of NMSCs. Adding phototherapy to Fumaric Acid Esters (FAEs) improves efficacy. Apremilast can be safely combined with available biologic agents in patients with plaque psoriasis or psoriatic arthritis not responding adequately to biologics alone. Hydroxyurea and acitretin may be used together increasing their efficacy and reducing doses of both and hence their adverse effects. Selected clinical scenarios shall benefit from combinations therapies, improving efficacy of both conventional and newer agents and at the same time helping reduce toxicity of higher dosages when used individually.
PubMed: 34490293
DOI: 10.3389/fmed.2021.696597 -
JAAD International Jun 2021Mycosis fungoides (MF) is a cutaneous lymphoma; most patients present with early, skin-limited disease and are managed by dermatologists. (Review)
Review
BACKGROUND
Mycosis fungoides (MF) is a cutaneous lymphoma; most patients present with early, skin-limited disease and are managed by dermatologists.
OBJECTIVE
The purpose of this study was to systematically review and assess the evidence on topical treatments for early-stage (IA, IB, IIA) MF.
METHODS
We performed a literature search via MEDLINE, Embase, Web of Science, and Cochrane databases. Grading Recommendations Assessment, Development and Evaluation (GRADE) criteria were used to assess the certainty of the data.
RESULTS
Two searches yielded 1252 references; 26 met the inclusion criteria and included literature on nitrogen mustard, retinoids, corticosteroids, carmustine, fluorouracil, methotrexate-laurocapram, hexadecylphosphocholine, peldesine, ingenol mebutate, topical methotrexate with oxygen flow-assisted LP3 carrier, and resiquimod. Most studies were single intervention, observational series. Nitrogen mustard, with the most published reports, was effective with 12%-82% early-stage MF patients (total n > 1000) achieving complete remission (CR) (low certainty evidence). Clinical CR was achieved among 10%-60% treated with topical retinoids (low certainty evidence). Two moderate-sized retrospective case series on topical steroids had 18%-63% CR (low certainty evidence). Only single studies were available for the other therapies.
CONCLUSIONS
For most outcomes of interest, the GRADE certainty for topical therapies for early-stage MF was low. Further randomized controlled trials and inclusion of quality of life indicators are needed.
PubMed: 34409369
DOI: 10.1016/j.jdin.2021.01.002 -
Skin Appendage Disorders Jun 2021Smoking is not only a preventable cause of significant systemic disease but also affects the follicular growth cycle and fiber pigmentation. Ambient tobacco smoke... (Review)
Review
Smoking is not only a preventable cause of significant systemic disease but also affects the follicular growth cycle and fiber pigmentation. Ambient tobacco smoke exposure results in nicotine accumulation in hair follicles and the hair shaft. This review summarizes the evidence on the association between smoking and hair health, as denoted by alopecia and premature hair graying (PHG). In July 2020, a review of the literature using PubMed/MEDLINE and CINAHL databases identified 32 studies investigating the relationship between smoking, PHG, and alopecia (androgenetic alopecia and frontal fibrosing alopecia). The prevalence of hair loss and PHG is more prevalent in smokers than nonsmokers. Smoking is associated with negative effects on hair health as evidenced in PHG and alopecia. Smoking status should be assessed in patients who are presenting to their dermatologist for evaluation of alopecia and PHG.
PubMed: 34307472
DOI: 10.1159/000512865 -
Journal of Medical Internet Research Jul 2021Recent years have been witnessing a substantial improvement in the accuracy of skin cancer classification using convolutional neural networks (CNNs). CNNs perform on par... (Review)
Review
BACKGROUND
Recent years have been witnessing a substantial improvement in the accuracy of skin cancer classification using convolutional neural networks (CNNs). CNNs perform on par with or better than dermatologists with respect to the classification tasks of single images. However, in clinical practice, dermatologists also use other patient data beyond the visual aspects present in a digitized image, further increasing their diagnostic accuracy. Several pilot studies have recently investigated the effects of integrating different subtypes of patient data into CNN-based skin cancer classifiers.
OBJECTIVE
This systematic review focuses on the current research investigating the impact of merging information from image features and patient data on the performance of CNN-based skin cancer image classification. This study aims to explore the potential in this field of research by evaluating the types of patient data used, the ways in which the nonimage data are encoded and merged with the image features, and the impact of the integration on the classifier performance.
METHODS
Google Scholar, PubMed, MEDLINE, and ScienceDirect were screened for peer-reviewed studies published in English that dealt with the integration of patient data within a CNN-based skin cancer classification. The search terms skin cancer classification, convolutional neural network(s), deep learning, lesions, melanoma, metadata, clinical information, and patient data were combined.
RESULTS
A total of 11 publications fulfilled the inclusion criteria. All of them reported an overall improvement in different skin lesion classification tasks with patient data integration. The most commonly used patient data were age, sex, and lesion location. The patient data were mostly one-hot encoded. There were differences in the complexity that the encoded patient data were processed with regarding deep learning methods before and after fusing them with the image features for a combined classifier.
CONCLUSIONS
This study indicates the potential benefits of integrating patient data into CNN-based diagnostic algorithms. However, how exactly the individual patient data enhance classification performance, especially in the case of multiclass classification problems, is still unclear. Moreover, a substantial fraction of patient data used by dermatologists remains to be analyzed in the context of CNN-based skin cancer classification. Further exploratory analyses in this promising field may optimize patient data integration into CNN-based skin cancer diagnostics for patients' benefits.
Topics: Dermoscopy; Humans; Melanoma; Neural Networks, Computer; Skin Neoplasms
PubMed: 34255646
DOI: 10.2196/20708 -
Dermatology and Therapy Oct 2021Transgender patients on masculinizing and feminizing hormonal therapy undergo myriad physical and psychologic changes. Dermatologists are uniquely qualified to guide... (Review)
Review
Transgender patients on masculinizing and feminizing hormonal therapy undergo myriad physical and psychologic changes. Dermatologists are uniquely qualified to guide patients in the gender-affirming process, especially as it relates to hair. Given the paucity of literature guiding dermatologists in this process, a systematic review was performed to better understand the physiologic changes of hair in patients on masculinizing and feminizing hormonal therapy as well as the variety of treatment options that exist to help transgender patients to attain their desired hair growth pattern. This review reports findings and treatment options supported by the performed literature review as well as treatment recommendations based on the authors' own experiences treating this unique patient population.
PubMed: 34235628
DOI: 10.1007/s13555-021-00574-0 -
Skin Health and Disease Jun 2021Infection with COVID-19 is characterized by respiratory, gastrointestinal and neurologic symptoms. However, limited evidence exists of the involvement of the...
BACKGROUND
Infection with COVID-19 is characterized by respiratory, gastrointestinal and neurologic symptoms. However, limited evidence exists of the involvement of the integumentary system among COVID-19 patients and evidence suggests that these symptoms may even be the first presenting sign.
OBJECTIVE
To systematically evaluate the literature published on dermatologic signs of COVID-19 in order to educate doctors about the dermatologic signs of COVID-19 infection.
METHODS
Lit COVID, World Health Organization COVID-19 database and PubMed were searched using terminology to identify adult patients with confirmed COVID-19 infection and dermatologic manifestations of disease. The last search was completed on 13 July 2020.
RESULTS
There were 802 reports found. After exclusion, 20 articles were found with 347 patients with confirmed COVID-19 infection. Within these articles, 27 different skin signs were reported.
LIMITATIONS
Limitations of this review include the recency of COVID-19 infection; so, there are limited published reports and that many reports are not by dermatologists, and so, the cutaneous signs may be misdiagnosed or misdescribed.
CONCLUSION
Dermatologic manifestations of COVID-19 may be the first presenting sign of infection; so, dermatologists and doctors examining the skin should be aware of the virus's influence on the integumentary system in order to promptly diagnose and treat the infected patients.
PubMed: 34235511
DOI: 10.1002/ski2.20