Pigmented Lesions Research Articles

Three-Point Checklist Dermoscopy for Melanoma Screening: Experience in Medical Students New to Dermatology.

Early detection of melanoma and optimal referral to the specialist starts in primary care. Medical education is usually deficient in training general physicians in early detection and risk management for most skin malignancies. A three-point dermoscopy checklist is used as a screening tool for differentiating malignant and benign pigmented lesions in non-expert clinicians using dermoscopy. To evaluate the impact of brief medical training on the three-point dermoscopy algorithm in third-year medical students new to dermatology and to determine the levels of sensitivity and specificity to differentiate malignant and benign pigmented lesions. Optional dermoscopy lecture for third-year medical students new to dermatology in the context of general medical semiology courses, with case discussion and evaluation of 50 dermoscopy cases (25 benign and 25 malignant). Students were asked to classify malignant versus benign pathology based on the three-point dermoscopy algorithm discussed. Sensitivity, specificity, and predictive values were calculated according to the students' responses. Sixty-five students provided 3250 responses. Malignant pathology was misclassified as benign in 154 responses, while benign pathology was misclassified as malignant in 668 responses. Sensitivity and specificity for differentiating malignant lesions were 89.70% and 61.99%, respectively. Moderate interobserver agreement was found (Kappa value = 0.50; [CI: 0.47-0.54]). When evaluating melanocytic lesions, the focus of primary healthcare and general medical education should emphasize the correct determination of malignant or benign pathology. Teaching the three-point dermoscopy rule to medical students new to dermatology yields satisfactory levels of sensitivity and specificity, comparable to general physicians.

Exploring Fractional Pigment Toning: A Novel Approach for Treating Benign Pigmented Lesions in Asian Patients With Fitzpatrick Skin Types III-V.

Laser therapy has emerged as a widely favored treatment option for solar lentigines (SL). However, a significant challenge associated with this treatment, particularly among individuals with darker skin tones, is the notable risk of postinflammatory hyperpigmentation (PIH) induction. In response to these concerns, the authors conducted a prospective, self-controlled study to comprehensively evaluate the safety and effectiveness of 532-nm picosecond laser, both with and without a microlens array (MLA), for the management of SL in patients with Fitzpatrick skin types (FST) III-V. Twenty-seven patients with FST III-V and bilateral SL on the face underwent randomized treatment. One side of the face was treated with a 532-nm picosecond laser coupled with an MLA, utilizing the fractional pigment toning (FPT) technique, while the other side received treatment without the MLA, following the conventional technique (CT). The FPT technique utilized a 9-mm spot size with a fluence of 0.47 J/cm2 for two passes covering 40% of the area. In contrast, the CT used a 4.5-mm handpiece with fluence ranging from 0.3 to 0.7 J/cm2. Patients received a single treatment and were evaluated for pigment clearance, occurrence of PIH, and other adverse effects at 2 weeks, 1, 3, and 6 months posttreatment. Twenty-seven participants completed the study protocol. Analysis of pigment clearance, measured via 3D photography, showed significant improvement from 2 weeks to 6 months posttreatment for both the FPT technique (p < 0.001) and CT (p = 0.004). PIH occurred in 64%, 80%, 96%, and 88% of cases on the CT side, compared to 8%, 32%, 36%, and 16% on the FPT technique side at 2 weeks, 1, 3, and 6 months posttreatment, respectively. The incidence of PIH was significantly lower on the FPT technique side compared to the CT side throughout the follow-up periods. Additionally, transient and mild hypopigmentation occurred in one participant (4%) on the FPT technique side and in five participants (20%) on the CT side. No other adverse effects were observed during the study. The 532-nm picosecond laser emerges as a safe and efficacious treatment modality for SL in individuals with FST III-V. Particularly noteworthy is the efficacy of the FPT technique, which demonstrates comparable effectiveness while significantly reducing the incidence of PIH compared to the CT.

Clinical descriptive and long-term outcome of melanocytic uveal lesions in young dogs: 40 cases (45 eyes) including 13 cases of sector iridectomy.

To describe the clinical features surgical technique, early and long-term outcome with or without surgery, and histopathological findings of melanocytic anterior uveal lesions in young dogs. Medical records of dogs at a guide dog facility removed from training due to a pigmented iris lesion were reviewed from 2014 to 2021. Selected dogs had surgical iridectomies performed. Iridal melanocytic lesions were characterized as well-delineated, pigmented, and flat (nevus) or raised (mass) lesions of the iris. Forty dogs (18 Labrador retrievers, 18 German shepherd dogs, 1 Golden retriever, 3 Labrador/Golden mixes) ranging from 0.5 to 3.1 years of age were affected unilaterally (n = 35) or bilaterally (n = 5). Sector iridectomy was performed in 13 dogs with prominent and well-isolated mass lesion and enucleation was carried out in 2 dogs with extensive lesions, while all other cases were monitored without surgical intervention. Postoperative complications included dyscoria (13/13), focal posterior synechia (9/13) and focal nonprogressive cataract (8/13). All eyes remained visual and comfortable up to 6.2 years post-iridectomy with no clinically identifiable local recurrence. Histopathology was consistent with uveal melanocytoma in all samples obtained surgically. All cases that did not undergo surgery remained free of complications up to 4.5 year post diagnosis. Melanocytic anterior uveal lesions may be overrepresented in certain lineages of breeds and be present at a young age. While none of the eyes developed complications when monitored without surgery, early surgical excision of the mass by sector iridectomy yields noteworthy functional outcome and retention of a comfortable globe.

Deep Learning Algorithms for the Detection of Suspicious Pigmented Skin Lesions in Primary Care Settings: A Systematic Review and Meta-Analysis.

Early detection of suspicious pigmented skin lesions is crucial for improving the outcomes and survival rates of skin cancers. However, the accuracy of clinical diagnosis by primary care physicians (PCPs) is suboptimal, leading to unnecessary referrals and biopsies. In recent years, deep learning (DL)algorithms have shown promising results in the automated detection and classification of skin lesions. This systematic review and meta-analysis aimed to evaluate the diagnostic performance of DL algorithms for the detection of suspicious pigmented skin lesions in primary care settings. A comprehensive literature search was conducted using electronic databases, including PubMed, Scopus, IEEE Xplore, Cochrane Central Register of Controlled Trials (CENTRAL), and Web of Science. Data from eligible studies were extracted, including study characteristics, sample size, algorithm type, sensitivity, specificity, diagnostic odds ratio (DOR), positivelikelihood ratio (PLR), negative likelihood ratio(NLR), and receiver operating characteristic curve analysis. Three studies were included. The results showed that DL algorithms had a high sensitivity (90%, 95% CI: 90-91%) and specificity (85%, 95% CI: 84-86%) for detecting suspicious pigmented skin lesions in primary care settings. Significant heterogeneity was observed in both sensitivity (p = 0.0062, I2 = 80.3%) and specificity (p < 0.001, I2 = 98.8%). The analysis of DOR and PLR further demonstrated the strong diagnostic performance of DL algorithms. The DOR was 26.39, indicating a strong overall diagnostic performance of DL algorithms. The PLR was 4.30, highlighting the ability of these algorithms to influence diagnostic outcomes positively. The NLR was 0.16, indicating that a negative test result decreased the odds of misdiagnosis. The area under the curve of DL algorithms was 0.95, indicating excellent discriminative ability in distinguishing between benign and malignant pigmented skin lesions. DL algorithms have the potential to significantly improve the detection of suspicious pigmented skin lesions in primary care settings. Our analysis showed that DL exhibited promising performance in the early detection of suspicious pigmented skin lesions. However, further studies are needed.

Uveal effusion in Waldenstrom's macroglobulinemia.

To reastport a case of Waldenstrom macroglobulinemia-related choroidal detachments. Case report. A 80-year-old woman was referred for bilateral visual loss for few months. She was hospitalized for a Waldenstrom's disease. Both anterior chambers were deep and quiet. Fundus revealed bilateral choroidal detachment without serous retinal detachments. No vitritis, retinal tear or pigmented lesion were observed. After eliminating all other causes of uveal effusion, the patient was treated for her hemopathy with chemotherapy associated with corticosteroids and plasmapheresis. One month later, fundus showed a complete disappearance of choroidal detachments and vision improved. Uveal effusion is an extremely rare ocular damage of Waldenström disease. As choroidal vessels are porous, they may allow immunoglobulins, over produced, to leak toward supra-choroidal space triggering choroidal detachments.

Skin Lesion Prediction and Classification Using Innovative Modified Long Short-Term Memory-Based Hybrid Optimization Algorithm

Identification of pigmented skin lesions is necessary for the detection of severe diseases associated with the skin organ, notably malignancy. Accurate skin cancer diagnosis can be improved with the use of image detection approaches and computer classification skills. Therefore, this research work plans to perform skin lesion prediction and classification using a novel deep learning methodology. Initially, the data related to the skin lesion are gathered from the ISIC dataset. After collecting the images, the pre-processing is performed using hair removal and filtering hair removed images via median filtering. These pre-processed images undergo segmentation process accomplished using the U-Net method. Next, the features are extracted from these segmented images with the help of color features, and texture features by GLCM and RGB histogram features. These extracted features undergo the prediction phase that is accomplished using the MLSTM model, in which the parameter optimization is done by the nature inspired novel hybrid metaheuristic algorithm referred as SC-STBO algorithm with the consideration of accuracy maximization and RMSE minimization as the major fitness for the objective function. If the predicted output is returned as the presence of skin lesion, the same novel MLSTM model classifies the final skin lesion output into seven types, such as Vascular Lesions, Melanocytic Nevi, Melanoma, Dermatofibroma, Benign Keratosis-like Lesions, BCC, and Actinic Keratoses, respectively. Seven groups of skin diseases can be identified early thanks to the suggested effort, which can then be tested and properly handled by medical professionals. With an accuracy of 0.9931, the recommended methodology clearly outperforms traditional techniques. Similarly, the suggested methodology clearly beats the conventional methods, with a recall of 0.9825.

Treatment-induced anogenital melanosis is a very frequent finding in patients with vulvar lichen sclerosus.

Pigmented lesions such as melanosis have rarely been reported in patients with vulvar lichen sclerosus (VLS) that is typically characterized by hypopigmented lesions. We aimed to analyze systematically anogenital melanosis in a large cohort of VLS patients. We analyzed the clinical data of 198 female patients with VLS. The anogenital lesions of all patients were professionally photographed in a standardized position and illumination. Severity classification of architectural findings followed an easy-to-use clinical score. A modified Melasma Area and Severity Index and an image analysis software were used to evaluate the area and intensity of pigmentation. According to the clinical score, 79 (198/39.9%) patients showed grade 1 disease, 78 (198/39.4%) grade 2, 37 (198/18.7%) grade 3, and 4 (198/2%) grade 4 disease. About 111 (56.1%) of the 198 patients had anogenital melanosis with a median modified Melasma Area and Severity Index of 3.6 (0.4-14). Univariate analysis revealed that anogenital melanosis was positively correlated with the use of topical estrogens (P = .0018) and negatively correlated with the use of pulsed high-dose corticosteroids plus low-dose methotrexate (PHDC-LDM, P = .021). On multivariable analysis, the use of topical hormone therapy turned out to be a strong independent predictor for the presence of anogenital melanosis (odds ratio: 4.57, 95% confidence interval: 1.66-12.57, P = .0033), whereas PHDC-LDM use was an independent predictor for the absence of anogenital melanosis (odds ratio: 0.35, 95% confidence interval: 0.15-0.84, P = .018). The study includes the retrospective monocentric design. Anogenital melanosis is a very frequent and so far, under-reported clinical finding in VLS patients. It is likely caused by the use of topical estrogens employed for VLS treatment. In contrast, patients with more severe disease and PHDC-LDM treatment appear to develop less likely anogenital melanosis.

Primary Meningeal Melanocytic Tumors of the Central Nervous System: A Review from the Ultra-Rare Brain Tumors Task Force of the European Network for Rare Cancers (EURACAN).

Primary meningeal melanocytic tumors are ultra-rare entities with distinct histological and molecular features compared with other melanocytic or pigmented lesions, such as brain and leptomeningeal metastases from metastatic melanoma. The European Network for Rare Cancers (EURACAN) Task Force on Ultra-Rare Brain Tumors (domain 10, subdomain 10) performed a literature review from January 1985 to December 2023 regarding the epidemiologic and clinical characteristics, histological and molecular features, radiological findings, and efficacy of local treatments (surgery and radiotherapy) and systemic treatments for these entities. Molecular analysis can detect specific mutations, including GNAQ, GNA11, SF3B1, EIF1AX, BAP1, that are typically found in circumscribed primary meningeal melanocytic tumors and not in other melanocytic lesions, whereas NRAS and BRAF mutations are typical for diffuse primary meningeal melanocytic tumors. The neuroimaging of the whole neuroaxis suggests a melanocytic nature of a lesion, depicts its circumscribed or diffuse nature, but cannot predict the tumor's aggressiveness. Gross-total resection is the first choice in the case of circumscribed meningeal melanocytoma and melanoma; conversely, meningeal biopsy may be reserved for patients with diffuse and multinodular leptomeningeal spread to achieve a definitive diagnosis. High-dose radiotherapy is rarely indicated in diffuse melanocytic tumors except as palliative treatment to alleviate symptoms. Last, a definitive advantage of a specific systemic treatment could not be concluded, as most of the data available derive from case reports or small cohorts. As primary meningeal melanocytic tumors are extremely rare, the correlations between the clinical characteristics, molecular profile, radiological findings at diagnosis and progression are weak, and poor evidence on the best therapeutic approach is available. There is a need to develop shared platforms and registries to capture more knowledge regarding these ultra-rare entities.

Approach of Shoshan and Sanshaman Chikitsa in Management of Mandal Kushtha w.s.r. to Psoriasis

Psoriasis is a chronic inflammatory, hyperproliferative skin disease. It is characterised by well-defined, erythematous scaly plaques, particularly affecting extensor surfaces, scalp and nails, and usually follows a relapsing and remitting course. Psoriasis affects approximately 1.5%-3% of populations of European ancestry but is less common in Asian, South American and African populations. It occurs equally in both sexes and at any age; although it is uncommon under the age of 5 years, more than 50% of patients present before the age of 30 years. Aims and Objectives: To find out the effect of Ayurvedic medicine and Shodhan chikitsa in the management of Mandal kushtha (psoriasis). Material and Methods: A 53-year-old male patient having complaint of skin lesion on scalp, upper back and abdomen area with red demarcation from last 15 years. Lesion having silvery scales and falling all rubbing with severe itching. This condition clinically correlated to Mandal Kushtha described in Ayurveda. Mandal Kushiha has Shwelam Raklam varna, Sthirar, Styanam and Utsana Mandala (skin begins with special characters. Acharya Charaka mentioned Shodhan Chikitsa for purification of Kushtha Roga. Result and Discussion: Considering The sign and symptoms patient was treated with classical Vamana Karam (therapeutic emesis) and Virechana karma (therapeutic purgation) according in line of treatment of Kushtha (psoriasis). Assessment was done before treatment, after treatment and after follow-up. Pictures were taken before treatment and after treatment. Remarkable improvement was noticed in scaling, induration and itching after Vamana and Virechanа treatment and residue only hyper pigmented pink lesion.

Pixel-level classification of pigmented skin cancer lesions using multispectral autofluorescence lifetime dermoscopy imaging.

There is no clinical tool available to primary care physicians or dermatologists that could provide objective identification of suspicious skin cancer lesions. Multispectral autofluorescence lifetime imaging (maFLIM) dermoscopy enables label-free biochemical and metabolic imaging of skin lesions. This study investigated the use of pixel-level maFLIM dermoscopy features for objective discrimination of malignant from visually similar benign pigmented skin lesions. Clinical maFLIM dermoscopy images were acquired from 60 pigmented skin lesions before undergoing a biopsy examination. Random forest and deep neural networks classification models were explored, as they do not require explicit feature selection. Feature pools with either spectral intensity or bi-exponential maFLIM features, and a combined feature pool, were independently evaluated with each classification model. A rigorous cross-validation strategy tailored for small-size datasets was adopted to estimate classification performance. Time-resolved bi-exponential autofluorescence features were found to be critical for accurate detection of malignant pigmented skin lesions. The deep neural network model produced the best lesion-level classification, with sensitivity and specificity of 76.84%±12.49% and 78.29%±5.50%, respectively, while the random forest classifier produced sensitivity and specificity of 74.73%±14.66% and 76.83%±9.58%, respectively. Results from this study indicate that machine-learning driven maFLIM dermoscopy has the potential to assist doctors with identifying patients in real need of biopsy examination, thus facilitating early detection while reducing the rate of unnecessary biopsies.

Recent changes in speckled pigmented lesion

Recent changes in speckled pigmented lesion

Differential Diagnosis of Pigmented Lesions in the Oral Mucosa: A Clinical Based Overview and Narrative Review.

This paper examines the clinical differentiation of pigmented lesions in the oral mucosa, which poses significant diagnostic challenges across dental and medical disciplines due to their spectrum from benign to potentially malignant conditions. Through a literature review and analysis of clinical cases, this study clarifies current diagnostic methodologies, with an emphasis on differential diagnosis, to provide a practical guide for clinicians. The classification of pigmented lesions, such as endogenous, focal melanocytic, and multifocal pigmentation, based on clinical and histological features, highlights the necessity for a structured and informed approach. A retrospective examination of cases from our oral medicine and pathology clinic, coupled with analysis of photographic and histological records, aids in classifying these lesions. This fosters a better understanding and promotes informed discussions among clinicians, ultimately aiming to enhance early and precise diagnosis, thus improving patient management and outcomes.

Unraveling Complexity: Delving into a Novel Pigmented Epithelioid Melanocytoma Case

Abstract Pigmented epithelioid melanocytoma (PEM) is a rare and diagnostically challenging skin neoplasm. Differentiating this lesion from melanoma is challenging due to overlapping clinical, histopathological, and immunohistochemical features. Some PEMs have a benign course, while others may be associated with more aggressive behaviour and have potential for local recurrence or distant metastasis. So, careful evaluation and follow-up are crucial for individuals with a diagnosis of PEM. This case study focuses on a 42-year-old woman with a gradually enlarging, dark, pigmented gluteal lesion. Histopathological analysis following complete excision showed nodular proliferation of spindled and epithelioid melanocytes in the dermis, extending into subcutaneous fat. Cellular atypia or mitotic figures were absent, confirming the diagnosis as PEM. This case underscores the intricate balance between monitoring and intervention in complex dermatological cases, shedding light on diagnostic challenges and ultimately striving for improved patient care.

Atypical melanocytes of an atypical Spitz tumour observed with optical super-high magnification dermoscopy.

A 64-year-old woman presented with a 6-mm pigmented lesion on her thigh. Dermatoscopy revealed the ‘starburst’ dermatoscopic pattern of a Spitzoid tumour. Before excision, the lesion was examined under ×400 magnification dermoscopy using the videoscope Fotofinder Medicam 1000 (Fotofinder System, Bad Birnbach, Germany) and in vivo Reflectance Confocal Microscopy (RCM) (Vivascope 1500®, MAVIG GmbH, Munich, Germany).

Dermoscopy Education for Plastic Surgery Residents: How a Brief Theoretical Course and Practical Training Have an Impact.

Currently, the evaluation of pigmented skin lesions relies on dermoscopy, which has become the standard of care. As melanoma is one of the principal areas of expertise in plastic surgery, it is essential that diagnostic skills be acquired during the course of specialization. This study aimed to assess the impact and effectiveness of a brief and intensive dermoscopy training program for plastic surgery residents. This study was carried out on a group of 41 doctors, who were divided into three categories based on their experience in dermoscopy (none, intermediate, and advanced). A preliminary assessment of each participant's baseline knowledge was conducted by using a 15-query test. Subsequently, the participants attended a 90-minute lecture on diagnostic techniques and the process of differentiating between various skin lesions. To determine the effectiveness of the lecture in improving diagnostic skills, the participants were tested immediately after the lecture and again after a 3-month period. At the conclusion of the final examination, all three groups achieved an accuracy rate of at least 80% for dermatoscopic diagnosis. However, none of the groups was completely successful. The variations in diagnostic accuracy among the three groups are presented, and P values were calculated for each group. The short, intensive course of dermoscopy has proven to have a significant positive impact on plastic surgeons in their postdegree training program.

Oral pigmented lesions: a pragmatic approach to diagnosis and management

Oral pigmented lesions: a pragmatic approach to diagnosis and management

In Situ Protein Expression Analysis of Melanocyte Differentiation Antigen TRP1 (Tyrosinase-Related Protein-1).

Melanocyte differentiation antigens refer to molecules expressed in cells of melanocytic lineage such as gp100/PMEL, tyrosinase, and Melan-A. Corresponding antibodies such as HMB45, T311, and A103 have become key immunohistochemical tools in surgical pathology for the diagnosis of pigmented and related lesions. Little is known about tyrosinase-related protein 1 (TRP1), another melanocyte differentiation antigen, which is an enzymatic component of melanogenesis and known as the brown locus in mice. In this study, we tested several commercial reagents to TRP1 and identified one clone, EPR13063, which we further characterized by testing its specificity and usefulness for surgical pathology. Subsequently, we analyzed the expression of TRP1 in panels of normal tissues and tumors. TRP1 is regularly expressed in normal skin and in cutaneous nevi predominantly present in junctional and to a lesser extent in dermal nevocytes. In melanoma, TRP1 is present in 100% and 44% of primary and metastatic melanomas, respectively. TRP1 was absent in 5 desmoplastic melanomas but heterogeneously present in 9 of 11 PEComas/angiomyolipomas. No TRP1 was found in neoplasms of nonmelanocytic lineage. We demonstrate that EPR13063 is a valuable reagent for the analysis of TRP1 expression in archival surgical pathology material. The TRP1 expression pattern in melanocytic and related lesions appears to parallel other melanocyte differentiation antigens with a higher incidence in primary and a lower incidence in metastatic melanomas.

DS19 Assessing the attitudes to biobanking of patients attending a pigmented lesion clinic and healthcare staff employed in an academic hospital: a quantitative study

DS19 Assessing the attitudes to biobanking of patients attending a pigmented lesion clinic and healthcare staff employed in an academic hospital: a quantitative study

Clinico-epidemiological characteristics and long-term surgical outcome of basal cell carcinoma treated with standard excision in patients of skin of colour: A retrospective study from Northern India.

Background There is scant data on basal cell carcinoma (BCC) in Indian patients. This retrospective study was conducted to explore epidemiology, risk factors, clinical and pathological aspects, and long-term treatment outcomes of BCC in a cohort of North Indian patients. Methods Data about patients registered in the dermatosurgery clinic between 01 January 2017 and 31 December 2022 with a confirmed diagnosis of BCC was collected. Results Among the 83 patients, 56.6% were females, and the median age was 62 years (6-85 years). Most patients (81.9%) had a single BCC lesion, resulting in a total of 126 assessed lesions. The median size of BCC at presentation was 1.90 cm, with nodular BCC being the most common histopathological subtype (39.7%). Head and neck region involvement was observed in 82.5% of patients, with the malar region, nose, and periorbital region being the most commonly affected sites. Pigmentation was clinically evident in 45.2% of cases. Surgical excision was the primary treatment modality (71.1% of patients). The median follow-up duration was 40 months (6-57 months). Recurrence occurred in five patients, with a longer disease-free survival period observed in the surgically treated group (55.58 ± 0.98 months) compared to patients treated with medical or destructive therapies (43.6 ± 3.482 months) (p = 0.003). Conclusion The data from this hospital-based study indicated a slight predilection for females among North Indian patients with BCC, with most cases occurring during their seventh decade of life. The condition commonly occurred on sun-exposed areas such as the malar region and nose, with a high percentage of pigmented lesions. Recurrence following surgical excision was rare, and overall treatment outcomes were favourable.

Artificial intelligence and skin melanoma

Melanoma is the deadliest skin cancer, presenting typically with changing pigmented areas and usually treated with surgical removal. As benign cutaneous pigmented lesions are very common in all populations, it can be challenging to identify which areas should be cut out or left untreated. Delayed treatment in melanoma increases the risk of death, but it is not possible to remove all lesions. Dermatoscopy uses polarized light and can be used to help distinguish melanomas from benign lesions. Dermatoscopy images with a confirmed diagnosis can be used to develop artificial intelligence (AI) as a medical device (AIaMD) tool. This contribution discusses the utilization of AI in melanoma management and describes an AIaMD tool used in current UK clinical practice on more than 80,000 patients. This is a springboard for discussing the scope, risks, and mitigations for future AI use by all clinicians involved in managing people with melanoma.