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Background: Basal cell carcinoma (BCC) is a prevalent type of skin cancer in which the inherent subjectivity of dermoscopy poses diagnostic challenges. Existing AI systems, which provide mainly image-level insights, lack the interpretability that is crucial for effective clinical decisions and patient education., Patients and Methods: Our study developed a refined BCC dataset from the Human‒Machine Adversarial Model (HAM10000), which was annotated by clinicians to identify key diagnostic features. We integrated the ResNet50 and Mask R-CNN architectures to enhance the model's performance by synthesizing feature-related knowledge. Statistical evaluations, such as grouped bar charts and line graphs, validated the improvement in our clinical diagnosis evaluation scheme., Results: The RFSD-BCC system significantly enhanced the diagnosis of BCC, with higher sensitivity, specificity, and accuracy. The system achieved an area under the precision-recall curve of 0.84, which closely matches physicians' diagnoses with high R 2 values and low MAEs. With the RFSD-BCC, the sensitivity increased by 7%, the specificity increased by 11%, the accuracy increased by 10%, and the intraclass correlation coefficient increased by 6%, which demonstrates the system's effectiveness in clinical settings., Conclusions: The RFSD-BCC system improves BCC diagnosis by integrating feature combination models, which enhances both sensitivity and specificity. It offers interpretable diagnoses that bridge AI analysis with clinical practice, significantly improving clinicians' diagnostic accuracy and fostering better patient understanding., (© 2024 Deutsche Dermatologische Gesellschaft (DDG).)

Background: Cutaneous confocal microscopy (CCM) facilitates in vivo visualization of skin at a cellular level. Use of a "store and forward" approach for remote-CCM interpretation (remote-CCM) across multiple sites has not been tested and may increase access to noninvasive diagnosis., Objectives: To test the diagnostic accuracy and safety of remote-CCM., Methods: We prospectively recruited lesions selected for biopsy for skin malignancy across 5 Australian tertiary dermatology centers. CCM, clinical and dermatoscopy images were acquired prebiopsy and accessed by a cloud-based platform for interpretation by CCM readers. CCM diagnosis was compared with histopathology results., Results: Among the 201 lesions included, melanoma was the most common malignancy (34/72, 47.2%). Of the 89 lesions (44.8%) potentially "saved" from biopsy, 80 (90%) were truly benign lesions and 9 (10.1%) were missed malignant lesions of melanoma in situ (n = 7) and squamous cell carcinoma (SCC) (n = 2). No invasive melanomas were missed. Sensitivity of remote-CCM for detection of malignancy was 89% (95% CI, 79%-95%) and specificity was 64% (95% CI, 55%-73%)., Limitations: The study recruited from high-risk populations and excluded lesions that were not biopsied., Conclusions: Remote-CCM has comparable accuracy to bedside CCM and safely reduces unnecessary biopsies. Potential SCCs are not appropriate for remote-CCM. Follow-up of borderline melanocytic lesions is recommended., Competing Interests: Conflicts of interest Dr Soyer is a shareholder of MoleMap NZ Limited and e-derm-consult GmbH and undertakes regular teledermatological reporting for both companies, is a medical consultant for Canfield Scientific Inc, and is a medical adviser for First Derm. Dr Mar has received speaker fees from Novartis, Bristol Myers Squibb, Merck, and Janssen; has received conference support from L’Oreal; and has participated in Advisory Boards for MSD and L’Oreal. Dr Guitera has received honoraria form MetaOptima Pty and has received a travel stipend from L’Oreal. Dr Lo has received fees for professional services from SkylineDx BV and an honorarium for editorial duties from The British Association of Dermatologists. Drs Ho, Collgros, Sinz, Melhoranse-Gouveia, Gallo, Chew, Koutsis, Schwartz-Aldea, Herbert, Ferguson, Grace Gribbin, Martin, Smith, and Cust and Author Ip have no conflicts of interest to declare., (Copyright © 2024 American Academy of Dermatology, Inc. Published by Elsevier Inc. All rights reserved.)

Although basal cell carcinoma is the most common form of skin cancer, the superficial subtype is rarely seen on the upper eyelid. We report the case of a 71-year-old woman with a 4-year history of upper eyelid pruritus, initially diagnosed as blepharitis and unsuccessfully treated with various medications, including topical and systemic corticosteroids, topical immunomodulators, and antihistamines. The unusual presentation, location, histologic subtype, and persistent pruritus posed a significant diagnostic challenge in this case.

Multiple hereditary infundibulocystic basal cell carcinoma syndrome (MHIBCC), an autosomal dominant disorder caused by variants in SUFU, is characterized by numerous infundibulocystic basal cell carcinomas (IBCCs). In this report, we present a possible case of mosaic MHIBCC. A 57-year-old woman underwent the removal of four papules on her face, which were diagnosed as IBCCs. Exome sequencing revealed a SUFU c.1022+1G>A mutation within the skin tumor. The same mutation was detected in her blood but at a lower allele frequency. TA cloning revealed that the allele frequency of the mutation in the blood was 0.07. Additionally, tumor assessment revealed loss of heterozygosity (LOH) in chromosome 10, including the SUFU locus. These results indicate the patient had mosaicism for the SUFU mutation in normal tissues, aligning with the mosaic MHIBCC diagnosis. This, combined with LOH, likely contributed to IBCC development. Mosaic MHIBCC may present with milder symptoms. However, it may still increase the risk of developing brain tumors and more aggressive basal cell carcinoma. The possibility of mosaicism should be investigated in mild MHIBCC cases, where standard genetic tests fail to detect SUFU germline variants., (© 2024 Japanese Dermatological Association.)

Background: Comprehensive skin cancer screening was introduced in Germany in 2008. It is unclear whether subsequently observed changes in the epidemiology of malignant melanoma (MM), squamous cell carcinoma (SCC) and basal cell carcinoma (BCC) are due to the screening. Simulation models are used to compare different screening scenarios with each other and with observed incidence and mortality trends., Methods: A microsimulation model for MM, SCC, and BCC was programmed and validated separately by sex on skin cancer-specific mortality data. In addition to the currently practiced screening (biennial offer, annual participation probability 15%), triennial screening, screening with increased participation, e.g., via invitation, and no screening were simulated. Incidence, mortality, costs, and life-years gained were simulated for 30 years from the start of screening., Results: Compared with no screening, mortality is reduced by 13.8% in the simulation with current conditions. This effect occurs in the first years after screening starts before reaching a stable level. More screening allows for further increases in incidence, life-years gained, and costs and decreases in mortality. Comparing simulated and observed effects shows little agreement., Conclusions: The model is useful for comparing screening scenarios to identify potential optimization opportunities in SCS. Additional, especially risk-adapted, screening scenarios should be investigated., (© 2024 The Author(s). Journal der Deutschen Dermatologischen Gesellschaft published by John Wiley & Sons Ltd on behalf of Deutsche Dermatologische Gesellschaft.)

Nonmelanoma skin cancers (NMSC), comprising basal cell carcinoma (BCC) and squamous cell carcinoma (SCC), are typically encountered on photo-exposed skin. Nevertheless, several cases of NMSC have been described in covered areas such as the genital region; furthermore, some of these lesions may express a variable degree of pigmentation. Due to the existence of mucosal melanoma, an accurate diagnosis is paramount. In this narrative review, we focused our attention on management and - in particular- diagnosis of pigmented NMSC (pNMSC) located in the genital region, emphasizing the features assessed by dermoscopy and reflectance confocal microscopy. As an implementation, we included data on pNMSC from the Dermatology Unit of the University of Campania Vanvitelli. BCC in the genital region represents only 1% of all BCC cases. It has been supposed that the mutation of patched 1 may lead to the development of BCC even without concomitant UV exposure. Pigmented variants on genitals have seldom been described. More prominent dermoscopic features seem to be blue-gray ovoid nests and arborizing vessels associated with whitish structureless areas. SCC and Bowen's disease (BD) - a variant of in situ SCC - may be encountered in the genital area and are sometimes associated with human papillomavirus (HPV) infection. Pigmented SCC is very rare, and most of the literature is focused on pigmented BD (pBD), which is mainly characterized by gray-brown dots in a linear fashion and glomerular vessels without evident scales. In conclusion, pNMSC is rarely encountered on genitals; evaluation with dermoscopy or other ancillary devices like RCM is important both to exclude benign lesions like seborrheic keratosis and lentigo and to rule out melanoma., (© 2024 the International Society of Dermatology.)

Skin cancer (SC) is one of the three most common cancers worldwide. Melanoma has the deadliest potential to spread to other parts of the body among all SCs. For SC treatments to be effective, early detection is essential. The high degree of similarity between tumor and non-tumors makes SC diagnosis difficult even for experienced doctors. To address this issue, authors have developed a novel Deep Learning (DL) system capable of automatically classifying skin lesions into seven groups: actinic keratosis (AKIEC), melanoma (MEL), benign keratosis (BKL), melanocytic Nevi (NV), basal cell carcinoma (BCC), dermatofibroma (DF), and vascular (VASC) skin lesions. Authors introduced the Multi-Grained Enhanced Deep Cascaded Forest (Mg-EDCF) as a novel DL model. In this model, first, researchers utilized subsampled multigrained scanning (Mg-sc) to acquire micro features. Second, authors employed two types of Random Forest (RF) to create input features. Finally, the Enhanced Deep Cascaded Forest (EDCF) was utilized for classification. The HAM10000 dataset was used for implementing, training, and evaluating the proposed and Transfer Learning (TL) models such as ResNet, AlexNet, and VGG16. During the validation and training stages, the performance of the four networks was evaluated by comparing their accuracy and loss. The proposed method outperformed the competing models with an average accuracy score of 98.19%. Our proposed methodology was validated against existing state-of-the-art algorithms from recent publications, resulting in consistently greater accuracies than those of the classifiers.

Basal cell carcinoma (BCC) is a slowly progressive, locally aggressive and rarely metastasizing cancer, and although its mortality is low, its morbidity and cost of disease are high. While BCC is more common, cutaneous malignant melanoma (CMM) is significant due to its higher mortality rate. These patients can be treated, but recurrence, metastasis and mortality may occur in such patients. Various environmental, phenotypic and genotypic factors, especially ultraviolet (UV) radiations, play a role in the etiology of BCC and CMM. Histopathological examination continues to be the "gold standard" in their diagnosis. Spexin (SPX) and DARS2 are newly discovered proteins linked to many diseases, including cancer. These proteins may have an effect on the development and expression of skin cancers such as BCC and CMM. In this study, we evaluated the potential of SPX and DARS2 expressions as immunohistochemical biomarkers in the differential diagnosis of BCC and CMM. This study was conducted retrospectively using samples taken from the pathology laboratory. A total of 180 patient samples were used. The control group consisted of healthy skin tissues of the patients, and the other groups consisted of BCC and CMM tissues of the same patients. Tissue samples of all three groups were evaluated immunohistochemically with SPX and DARS2. The immunoreactivity of SPX was found to be higher in BCC and CMM tissue samples than in healthy skin tissues in the control group. DARS2 immunoreactivity was found to be higher in CMM tissues compared to the other two groups, and statistically significant in BCC tissues when compared with healthy control group tissues. SPX can be used as an immunohistochemical biomarker in the diagnosis of BCC and CMM. Since DARS2 expression is statistically more significant in CMM tissues than in BCC tissues, it can be used in differential diagnosis., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Background: Basaloid skin tumors include subtypes of basal cell carcinoma (BCC) and the basaloid variant of squamous cell carcinoma (SCC). Due to their similarity in pathology and clinical presentation, their diagnosis is not straightforward. The aim of this study was to analyze the immunohistochemical expression of HSP105 in basaloid skin tumors, which include BCC, basosquamous carcinoma (BSC), metatypical basal cell carcinoma (MBCC), basaloid squamous cell carcinoma (BSCC), BCC with squamous differentiation as well as conventional SCC., Methods: This retrospective study included 17 cases of BCC, 11 cases of BSC, 8 instances of MBCC, 10 cases of BCC with squamous differentiation, 8 cases of BSCC, and 19 cases of SCC. Their clinical characteristics were summarized, and the paraffin blocks of tumor biopsy specimens were collected for HSP105 immunostaining., Results: In contrast to the BCC group, which stained predominantly negative, SCC stained diffusely positive for HSP105. BSCs showed some areas of HSP105 positivity with a transitional expression signature. HSP105 was only weakly positive in a few cases of MBCC. Although BSCC was stained positive for HSP105, the HSCORE was significantly lower than that of the classic SCC. In BCC with squamous differentiation, focal staining for HSP105 was only seen in the area of squamous differentiation., Conclusion: There was a difference in immunohistochemical staining of HSP105 in basaloid skin tumors which helps in differential diagnosis. Differentiation between BCC, SCC, BSCC, MBCC, and BCC with squamous differentiation can be aided by immunohistochemistry using HSP105., Competing Interests: The authors declare no conflict of interest., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Background: Nonmelanoma skin cancer (NMSC) is the most prevalent malignancy globally, with basal cell carcinoma (BCC) being the most common type., Aims: This study aims to evaluate the concordance between clinical and pathological diagnoses of BCC, emphasizing the importance of early detection., Methods and Results: In this cross-sectional study, we conducted a retrospective review of clinical and pathological records for 229 patients diagnosed with BCC between 2020 and 2024. The analysis focused on gender, age, lesion location, and diagnostic accuracy. Among the 229 patients, 193 were men (84.3%), and 131 (57.2%) had recorded clinical diagnoses. The mean age of diagnosed patients was 67.72 years. Lesions were primarily located on the scalp (29.5%), face (26.4%), and nose (13.9%). Of the pathological evaluations, 184 cases (80.3%) confirmed BCC, while 45 cases had alternative diagnoses. Notably, 94.6% of clinically diagnosed patients were suspected to have BCC by their physicians. A significant portion of cases (42%) lacked prior clinical diagnoses, reflecting a potential gap in education among nondermatologists regarding BCC recognition., Conclusion: The study found high concordance between clinical and pathological diagnoses of BCC, underscoring the need for improved clinical assessment skills among healthcare providers. Collaboration with dermatologists is essential for accurate diagnosis and improved patient outcomes. Enhanced training in recognizing BCC symptoms is recommended to address the identified gaps in clinical suspicion., (© 2024 The Author(s). Cancer Reports published by Wiley Periodicals LLC.)

We present a case of a periocular painless perifolliculitis clinically mimicking basal cell carcinoma (BCC), excised by margin-controlled excision. This case reminds readers that perifolliculitis as a response to rosacea can mimic BCC. The value of diagnostic biopsy and dermoscopy to support management planning and avoid unnecessary surgery is discussed.

The most common form of primary skin cancer is basal cell carcinoma (BCC). Pigmented BCC is a less common clinical presentation in BCC spectrum, where the tumour contains pigment. Some cases can exhibit morphological features that mimic those of nodular melanoma (NM). We present a woman in her late 40's who had an asymptomatic firm, hyperpigmented nodule on the right cheek resembling pigmented NM. Dermoscopy showed diffuse hyperpigmentation with irregular shiny surface and a solitary haemorrhagic crust. Melanoacanthoma and irritated seborrheic keratosis were the other differentials considered. Punch biopsy showed features of trichoepithelioma initially, subsequent complete excision was suggestive of pigmented BCC.Mortality related to BCC is rare, whereas NM is aggressive. Hence, clinicians need to be aware of this rare presentation of BCC as a hyperpigmented nodule, particularly in dark-skinned individuals. Timely differentiation between melanoma and BCC is crucial given their differing prognosis., Competing Interests: Competing interests: None declared., (© BMJ Publishing Group Limited 2024. No commercial re-use. See rights and permissions. Published by BMJ.)

Line-field confocal optical coherence tomography (LC-OCT) is a new technology for skin cancer diagnostics. However, the interobserver agreement (IOA) of known image markers of keratinocyte carcinomas (KC), including basal cell carcinoma (BCC) and squamous cell carcinoma (SCC), as well as precursors, SCC in situ (CIS) and actinic keratosis (AK), remains unexplored. This study determined IOA on the presence or absence of 10 key LC-OCT image markers of KC and precursors, among evaluators new to LC-OCT with different levels of dermatologic imaging experience. Secondly, the frequency and association between reported image markers and lesion types, was determined. Six evaluators blinded to histopathologic diagnoses, assessed 75 LC-OCT images of KC (21 SCC; 21 BCC), CIS (12), and AK (21). For each image, evaluators independently reported the presence or absence of 10 predefined key image markers of KCs and precursors described in an LC-OCT literature review. Evaluators were stratified by experience-level as experienced (3) or novices (3) based on previous OCT and reflectance confocal microscopy usage. IOA was tested for all groups, using Conger's kappa coefficient (κ). The frequency of reported image marker and their association with lesion-types, were calculated as proportions and odds ratios (OR), respectively. Overall IOA was highest for the image markers lobules (κ = 0.68, 95% confidence interval (CI) 0.57;0.78) and clefting (κ = 0.63, CI 0.52;0.74), typically seen in BCC (94%;OR 143.2 and 158.7, respectively, p < 0.001), followed by severe dysplasia (κ = 0.42, CI 0.31;0.53), observed primarily in CIS (79%;OR 7.1, p < 0.001). The remaining seven image-markers had lower IOA (κ = 0.06-0.32) and were more evenly observed across lesion types. The lowest IOA was noted for a well-defined (κ = 0.07, CI 0;0.15) and interrupted dermal-epidermal junction (DEJ) (κ = 0.06, CI -0.002;0.13). IOA was higher for all image markers among experienced evaluators versus novices. This study shows varying IOA for 10 key image markers of KC and precursors in LC-OCT images among evaluators new to the technology. IOA was highest for the assessments of lobules, clefting, and severe dysplasia while lowest for the assessment of the DEJ integrity., (© 2024. The Author(s).)

Lipids interfere with absorbance measurements conducted using colorimetric methods. To monitor lipemia, some systems measure absorbance using an analyzer. This report describes a novel case of interference with the lipemia index without lipemia. A 64-year-old woman with giant basal cell carcinoma underwent resection and sentinel lymph node biopsy. The patient had been subcutaneously injected with patent blue during sentinel lymph node resection. After surgery, her serum and urine were yellow-green, and the lipemia index, calculated by measuring absorbance at 658 nm (main wavelength) and 694 nm (secondary wavelength) using a JCA-BM8040 chemistry analyzer, was high. The absorbance spectrum of the patient's serum and patent blue solution were compared to determine the cause of the high lipemia index. The patient's serum and the patent blue solution showed absorption at wavelengths between 540 and 698 nm. Moreover, the absorbance was concentration-dependent for patent blue. These results thus indicated that the patient's serum contained patent blue. Here, we report a case wherein patent blue affected the lipemia index. Thus, it must be noted that patent blue injection may yield inaccurate results when evaluating lipemia index., (© The Author(s) 2024. Published by Oxford University Press on behalf of American Society for Clinical Pathology. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Competing Interests: Declaration of conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Background: Limited access to dermatologic care may pose an obstacle to the early detection and intervention of cutaneous malignancies. The role of artificial intelligence (AI) in skin cancer diagnosis may alleviate potential care gaps., Objective: The aim of this systematic review was to offer an in-depth exploration of published AI algorithms trained on dermoscopic and macroscopic clinical images for the diagnosis of melanoma, basal cell carcinoma, and cutaneous squamous cell carcinoma (cSCC)., Methods: Adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines, a systematic review was conducted on peer-reviewed articles published between January 1, 2000, and January 26, 2023., Results and Discussion: Among the 232 studies in this review, the overall accuracy, sensitivity, and specificity of AI for tumor detection averaged 90%, 87%, and 91%, respectively. Model performance improved with time. Despite seemingly impressive performance, the paucity of external validation and limited representation of cSCC and skin of color in the data sets limits the generalizability of the current models. In addition, dermatologists coauthored only 12.9% of all studies included in the review. Moving forward, it is imperative to prioritize robustness in data reporting, inclusivity in data collection, and interdisciplinary collaboration to ensure the development of equitable and effective AI tools., (Copyright © 2024 by the American Society for Dermatologic Surgery, Inc. Published by Wolters Kluwer Health, Inc. All rights reserved.)

The diagnosis of basal cell carcinoma (BCC) in dark phototypes can be a challenging task due to the lack of relevant clues and its variable presentation. In this regard, there is growing evidence that dermoscopy may benefit the recognition of BCC even for skin of color (SoC). The objective of this review is to provide an up-to-date overview on clinical and dermoscopic patterns of BCC in SoC, also comparing such findings with those of the main clinical mimickers reported in the literature. A comprehensive search of the literature through the PubMed electronic database was carried out in order to identify papers describing the clinical and dermoscopic features of BCC in dark phototypes (IV-VI). By finding macroscopic clinical presentations of BCCs in SoC patients and any possible clinical mimickers considered in the retrieved papers, we built a differential diagnosis list and analyzed the dermoscopic findings of such conditions to facilitate the diagnosis of BCC. BCC in darker skin may present as pigmented nodular lesions, pigmented patches or plaques, ulcers, erythematous nodular lesions, erythematous plaques or patches, or scar-like lesions, depending on its subtype and body site. The differential diagnosis for BCC in patients with SoC includes squamous cell carcinoma, melanoma, nevi, adnexal tumors and sebaceous keratosis. Additionally, it differs from that of Caucasians, as it also includes lesions less common in fair skin, such as dermatosis papulosa nigra, melanotrichoblastoma, and pigmented dermatofibrosarcoma protuberans, and excludes conditions like actinic keratosis and keratoacanthoma, which rarely appear in darker skin. The resulting differences also include infectious diseases such as deep cutaneous mycosis and inflammatory dermatoses. The most prevalent differentiating dermoscopic feature for BCC includes blue, black and gray dots, though arborizing vessels still remain the predominant BCC feature, even in dark phototypes. Diagnostic approach to BCC in dark-skinned patients varies due to the prevalence of dermoscopy findings associated with hyperpigmented structures. Clinicians should be aware of such points of differentiation for a proper management of this tumor in SoC.

MySkinSelfie is a mobile phone application for skin self-monitoring, enabling secure sharing of patient-captured images with healthcare providers. This retrospective study assessed MySkinSelfie's role in remote skin cancer assessment at two centres for urgent (melanoma and squamous cell carcinoma) and nonurgent skin cancer referrals, investigating the feasibility of using patient-captured images without dermoscopy for remote diagnosis. The total number of lesions using MySkinSelfie was 814, with a mean patient age of 63 years. Remote consultations reduced face-to-face appointments by 90% for basal cell carcinoma and by 63% for referrals on a 2-week waiting list. Diagnostic concordance (consultant vs. histological diagnosis) rates of 72% and 83% were observed for basal cell carcinoma (n = 107) and urgent skin cancers (n = 704), respectively. Challenges included image quality, workflow integration and lack of dermoscopy. Higher sensitivities were observed in recent artificial intelligence algorithms employing dermoscopy. While patient-captured images proved useful during the COVID-19 pandemic, further research is needed to explore the feasibility of widespread patient-led dermoscopy to enable direct patient-to-artificial intelligence diagnostic assessment., Competing Interests: Conflicts of interest P.H. collaborated in designing MySkinSelfie, the mobile application (app) discussed in this report. However, his involvement in the design of the app had no influence on the design, methodology, data analysis or reporting of this study., (© The Author(s) 2024. Published by Oxford University Press on behalf of British Association of Dermatologists. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Mycosis fungoides (MF) is characterized by a clonal proliferation of skin-homing mature T cells with special predilection for involving the epidermis. Folliculotropic and syringotropic MF typically present with erythematous papules, patches, and plaques, with punctate accentuation that is folliculocentric in the former. We report a 67-year-old woman, with an extensive history of allergic contact dermatitis, who was referred to the Mohs surgery clinic with a large pink plaque extending from the nasal bridge to the right upper medial cheek concerning for basal cell carcinoma. An outside punch biopsy showed benign basaloid follicular neoplasm. The patient was found to also have indurated erythematous plaques of the bilateral upper arms and erythematous scaly patches of bilateral arms and legs, abdomen, lateral trunk, buttocks, and groin. Owing to concern for possible cutaneous lymphoma, punch biopsies were performed which revealed the diagnosis of folliculotropic and syringotropic MF. Of note, folliculotropic and syringotropic MF are often, but not uniformly, characterized by a more aggressive disease course. This case highlights the importance of a high index of suspicion and awareness of all clinical and histopathologic pitfalls to avoid misdiagnosis of MF.

Background: Autofluorescence (AF)-Raman microspectroscopy is a technology that can detect residual basal cell carcinoma (BCC) on the resection margin of fresh, surgically excised tissue specimens. The technology does not require tissue fixation, staining, labelling or sectioning, and provides quantitative diagnosis maps of the surgical margins in 30 min., Objectives: To determine the accuracy of the AF-Raman instrument in detecting incomplete BCC excisions during Mohs micrographic surgery (MMS), using histology as the reference standard., Methods: Skin layers from 130 patients undergoing MMS at the Nottingham University Hospitals NHS Trust (September 2022-July 2023) were investigated with the AF-Raman instrument. The layers were measured when fresh, immediately after excision. The AF-Raman results and the intraoperative assessment by Mohs surgeons were compared with a postoperative consensus-derived reference produced by three dermatopathologists. The sensitivity, specificity, and positive and negative predictive values were calculated. The study was registered with ClinicalTrials.gov (NCT03482622)., Results: AF-Raman analysis was successfully completed for 125 of 130 layers and, on average, covered 91% of the specimen surface area, with the lowest surface area covered being 87% for the eyelid and the highest being 94% for forehead specimens. The AF-Raman instrument identified positive margins in 24 of 36 BCC-positive cases [67% sensitivity, 95% confidence interval (CI) 49-82] and negative margins in 65 of 89 BCC-negative cases (73% specificity, 95% CI 63-82). Only one of 12 false-negative cases was caused by misclassification by the AF-Raman algorithm. The other 11 false-negatives cases were a result of no valid Raman signal being recorded at the location of the residual BCC due to either occlusion by blood or poor contact between tissue and the cassette window. The intraoperative diagnosis by Mohs surgeons identified positive margins in 31 of 36 BCC-positive cases (86% sensitivity, 95% CI 70-95) and negative margins in 79 of 89 BCC-negative cases (89% specificity, 95% CI 81-95)., Conclusions: The AF-Raman instrument has the potential to provide intraoperative microscopic assessment of surgical margins in BCC surgery. Further improvements are required for tissue processing, to ensure complete coverage of the surgical specimens., Competing Interests: Conflicts of interest S.V., A.K., H.C.W. and I.N. hold a patent related to Raman microspectroscopy technology. R.A.B., A.S., S.O., S.E., K.E., S.G., A.P., K.D.W. and S.K. declare no conflicts of interest., (© The Author(s) 2024. Published by Oxford University Press on behalf of British Association of Dermatologists.)

Background: Amyloidosis is characterized by extracellular amyloid protein deposition. When amyloidosis intersects with basal cell carcinoma (BCC), it introduces complex diagnostic challenges. This study explored the overlap between primary localized cutaneous amyloidosis (PLCA) and BCC, examining amyloid deposits in BCC, systemic amyloidosis risk in PLCA, and various treatment methods., Methods: Two case studies were discussed, followed by a literature review, in which PubMed, Web of Science, EMBASE, and the Cochrane Library databases were utilized. The search, covering studies from infinity up to January 2024, focused on "cutaneous amyloidosis," "basal cell carcinoma," and related terms. Articles in English detailing the clinical presentation, diagnostic methods, treatment, and outcomes of cutaneous amyloidosis mimicking BCC were included. Data extraction and synthesis were performed by two independent reviewers., Case Series: This study highlighted two cases exemplifying the complexity of diagnosing BCC and PLCA. The first case (a 64-year-old with a nodule on the cheek) and the second (a 67-year-old with a nodular lesion on the upper lip cheek) were initially suspected as BCC and were later identified as PLCA upon histopathological examination., Discussion: The diagnosis of amyloidosis within BCC nodules remains a diagnostic challenge. Although their coexistence is relatively prevalent, their local recurrence rates remain debatable. Various diagnostic and therapeutic approaches have been suggested, such as topical creams and phototherapy. However, none have garnered conclusive and consistent evidence to establish reliable clinical application., Conclusion: The findings emphasized the importance of considering alternative pathologies in differential diagnoses. Future research should focus on understanding systemic amyloidosis risks and optimizing care for both conditions., (Copyright © 2024. Published by Elsevier Ltd.)

Background: The number of skin cancer cases and related deaths continues to increase worldwide, including in Portugal. The lack of efficient health care leaves the southern Portuguese population at risk of presenting skin lesions at later stages. An initiative for skin cancer screening and medical care follow-up was created by the nonprofit organization Liga Portuguesa Contra o Cancro - Núcleo Regional do Sul (LPCC-NRS)., Methods: Information was gathered from 4,398 participants in several Southern Portugal regions, from January 2021 to July 2022. Descriptive and lesion risk statistical analyses were applied., Results: Participants' characteristics were described, and risk assessment was performed differentially between premalignant (n = 577) and malignant lesions (n = 176). The main risk factor for both was male gender. From the described suspicious malignant lesions, 31.8% were confirmed (n = 56), among which there were 43 basal cell carcinomas (BCC), 9 cutaneous melanomas (CM), and 4 squamous cell carcinomas (SCC)., Conclusions: Data analysis pointed to a need for improved participant recruitment, especially of male participants, and health literacy assessment in future screenings., (© 2024 Liga Portuguesa Contra o Cancro. International Journal of Dermatology published by Wiley Periodicals LLC on behalf of the International Society of Dermatology.)

A 75-year-old Black man presented for evaluation of a skin lesion on his right shoulder. The lesion had been present for 3 months and was bleeding. A physical exam demonstrated a 2.7 cm exophytic, crusted, blue-to-purple plaque. A shave biopsy was performed, and histopathological examination revealed anastomosing strands of basaloid cells in the dermis, leading to a diagnosis of fibroepithelioma of pinkus (FeP). FeP is a rare variant of basal cell carcinoma. It typically presents as a solitary, pink, pedunculated papule on the lower back, but the presentation can vary. This case contributes to the scarce literature on the occurrence of FeP in skin of color populations. Here, we raise the possibility that FeP may present differently in skin of color patients compared to white patients. Greater clinician awareness can foster improved identification, management, and understanding of FeP in diverse populations., (© 2024 the International Society of Dermatology.)

Background: Cutaneous pathology on the male chest has a broad differential diagnosis that includes both malignant and benign processes. Surgeons-including surgical oncologists, dermatologic surgeons, plastic surgeons, and thoracic surgeons-may be consulted for management or evaluation of these conditions at various stages of the diagnostic work-up. No single surgical specialty manages all cutaneous pathology that arises on the male chest., Case Report: To illustrate the challenges and utility of imaging for diagnosis in the male breast, a clinical example is provided of an 82-year-old male who presented with an ulcerated plaque on the chest with involvement of the nipple areolar complex. The patient underwent shave biopsy and was initially diagnosed with basal cell carcinoma; however, after resection he was found to have invasive mammary carcinoma., Conclusion: Careful assessment, investigation, and understanding of pathology that may present on the male chest are key to making the correct diagnosis and avoiding treatment delays.

Raman microspectroscopy has become an effective method for analyzing the molecular appearance of biomarkers in skin tissue. For the first time, we acquired in vitro Raman spectra of healthy and malignant skin tissues, including basal cell carcinoma (BCC) and squamous cell carcinoma (SCC), at 532 and 785 nm laser excitation wavelengths in the wavenumber ranges of 900-1800 cm -1 and 2800-3100 cm -1 and analyzed them to find spectral features for differentiation between the three classes of the samples. The intensity ratios of the bands at 1268, 1336, and 1445 cm -1 appeared to be the most reliable criteria for the three-class differentiation at 532 nm excitation, whereas the bands from the higher wavenumber region (2850, 2880, and 2930 cm -1 ) were a robust measure of the increased protein/lipid ratio in the tumors at both excitation wavelengths. Selecting ratios of the three bands from the merged (532 + 785) dataset made it possible to increase the accuracy to 87% for the three classes and reach the specificities for BCC + SCC equal to 87% and 81% for the sensitivities of 95% and 99%, respectively. Development of multi-wavelength excitation Raman spectroscopic techniques provides a versatile non-invasive tool for research of the processes in malignant skin tumors, as well as other forms of cancer.

Objectives: To determine the rate skin color is reported in randomized controlled trials (RCTs) involving basal cell carcinoma (BCC) identification and treatment in the top ten dermatology journals., Methods: A systematic review was conducted of RCTs involving BCC among the top ten dermatology journals, determined by impact factor, from inception to July 11th, 2023. Studies were included if they reviewed the prevention, detection, and treatment of BCC, directly involved patients, and were classified as RCTs. Studies were classified as positive for reporting skin of color (SOC) if the demographic data in the methods or results included any of the following terms: Fitzpatrick scale, race, ethnicity, skin of color, or sunburn tendency., Results: Of the 51 studies identified, only 23 articles reported data pertaining to skin color within the results section (45.1%); whereas 28 articles mentioned skin color somewhere within the text (54.9%). Subgroup analysis was performed, and no statistical significance was found for study location or year of publication., Conclusion: Dark skin color can make it more difficult to diagnose skin tumors and it is unknown if race affects response to treatment. Less than 50% of RCTs related to basal cell carcinoma in top international dermatology journals included skin color within the demographic portion of their results section pertaining to study participants. Subgroup analysis demonstrated that studies performed within the United States reported skin color less than half the time (40%). Additionally, there has been no statistically significant difference in reporting over the past 4 decades. Further research is necessary to determine whether low reporting rates of race/skin color in BCC-related RCTS could impact diagnostic or treatment recommendations for patient care in this group., (© 2024. The Author(s).)

Basal cell carcinoma (BCC), the most common keratinocyte cancer, presents a substantial public health challenge due to its high prevalence. Traditional diagnostic methods, which rely on visual examination and histopathological analysis, do not include metabolomic data. This exploratory study aims to molecularly characterize BCC and diagnose tumour tissue by applying matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI-MSI) and machine learning (ML). BCC tumour development was induced in a mouse model and tissue sections containing BCC (n = 12) were analysed. The study design involved three phases: (i) Model training, (ii) Model validation and (iii) Metabolomic analysis. The ML algorithm was trained on MS data extracted and labelled in accordance with histopathology. An overall classification accuracy of 99.0% was reached for the labelled data. Classification of unlabelled tissue areas aligned with the evaluation of a certified Mohs surgeon for 99.9% of the total tissue area, underscoring the model's high sensitivity and specificity in identifying BCC. Tentative metabolite identifications were assigned to 189 signals of importance for the recognition of BCC, each indicating a potential tumour marker of diagnostic value. These findings demonstrate the potential for MALDI-MSI coupled with ML to characterize the metabolomic profile of BCC and to diagnose tumour tissue with high sensitivity and specificity. Further studies are needed to explore the potential of implementing integrated MS and automated analyses in the clinical setting., (© 2024 The Author(s). Experimental Dermatology published by John Wiley & Sons Ltd.)

Amelanotic/hypomelanotic melanoma (AHM) may be difficult to diagnose because of a lack of pigmentation. To evaluate whether dermoscopy can be useful for the diagnosis of early AHM, 133 digital dermoscopic images of lesions histopathologically diagnosed as amelanotic/hypomelanotic superficial spreading melanoma with ≤1 mm thickness (AHSSMs) (n = 27), amelanotic/hypomelanotic non-melanocytic lesions (AHNMLs) (e.g., seborrhoeic keratosis and basal cell carcinoma) (n = 79), and amelanotic/hypomelanotic benign melanocytic lesions (AHBMLs) (e.g., compound and dermal nevi) (n = 27), were dermoscopically assessed by three blinded dermatologists. Using multivariate analysis, we found a significantly increased risk of diagnosing AHSSM versus AHNML and AHBML when the lesion was characterized by the presence of more than one shade of pink (odds ratio [OR] 37.11), irregular dots/globules (OR 23.73), asymmetric pigmentation (OR 8.85), and structureless pattern (OR 7.33). In conclusion, dermoscopy may improve early AHM detection, discriminating AHSSM from amelanotic/hypomelanotic non melanoma lesions., (© 2024 The Authors. The Journal of Dermatology published by John Wiley & Sons Australia, Ltd on behalf of Japanese Dermatological Association.)

Basal cell carcinoma (BCC) is a low-grade malignant tumor that if properly managed has an excellent prognosis. Development of BCC outside the skin areas exposed to sun rays is infrequent. Giant BCC is a rare entity, especially in unexposed areas of the body. It carries a considerable implication on patients' quality of life because of the risk of being a source of infection that may progress to severe sepsis and/or metastasis. An old female presented with a long-standing solitary lesion measuring 7.5x6 cm overlaying the lumber 4-5 vertebral region about 2.5 cm from the line of the sacral promontory. No lymph nodes or distant metastases were detected. For many years, it was misdiagnosed by other physicians as eczema, psoriasis, and fungal infection and accordingly failed to respond to treatment. A histopathological examination of lesional punch biopsy assured the diagnosis of giant superficially spreading BCC. The lesion was excised with a circumferential safety margin of about 5 mm. During the follow-up period of 4 years, no recurrence was detected. Despite being a long-standing Giant basal cell carcinoma (GBCC) in a sun-hidden skin area, the growth behaved as a locally malignant lesion without metastasizing. A wide local surgical excision of the GBCC with 5 mm safety margins was feasible, safe, and with a good aesthetic outcome. Importantly, family practitioners should avoid such missed cases through accuracy in their diagnosis and early referral of any atypical cases to a dermatologist., Competing Interests: The author declares no competing interests., (Copyright: Ghadah Alhetheli et al.)

Evaluation of basal cell carcinoma (BCC) involves tangential biopsies of a suspicious lesion that is sent for frozen sections and evaluated by a Mohs micrographic surgeon. Advances in artificial intelligence (AI) have made possible the development of sophisticated clinical decision support systems to provide real-time feedback to clinicians that could have a role in optimizing the diagnostic workup of BCC. There were 287 annotated whole-slide images of frozen sections from tangential biopsies, of which 121 contained BCC, that were used to train and test an AI pipeline to recognize BCC. Regions of interest were annotated by a senior dermatology resident, an experienced dermatopathologist and an experienced Mohs surgeon, with concordance of annotations noted on final review. Final performance metrics included a sensitivity and specificity of 0.73 and 0.88, respectively. Our results on a relatively small dataset suggest the feasibility of developing an AI system to aid in the workup and management of BCC., Competing Interests: Conflicts of interest The authors declare no conflicts of interest., (© The Author(s) 2023. Published by Oxford University Press on behalf of British Association of Dermatologists. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Approximately 5-15% of all dermatologic malignancies manifest in the upper and lower eyelids. The primary types include basal cell carcinoma, squamous cell carcinoma, and sebaceous cell carcinoma, with Merkel cell carcinoma and melanoma following closely behind. Basal cell carcinoma predominantly affects the lower eyelid, yet various other carcinomas, melanomas, metastases, and neoplasms of diverse origins can arise on both upper and lower eyelids. Risk factors such as advanced age, smoking, and notably, exposure to UV light significantly contribute to the development of these eyelid lesions. Despite the increasing incidence, research on dermatologic eyelid malignancies remains limited. However, such study is imperative given that many systemic oncologic malignancies initially present as metastatic eyelid lesions. This paper provides an in-depth exploration of eyelid anatomy, clinical presentation, diagnosis, and treatment management.Key Points: Eyelid metastases represent less than one percent of all eyelid cancers, yet they often serve as the initial indication of an underlying systemic malignancy. Early detection and treatment is crucial in improving prognosis and quality of life for patients. Treatment options encompass a range of modalities, with Mohs surgery as the gold standard for the removal of ocular tumors. Additional treatment options include local excision as well as non-surgical interventions such as radiotherapy, cryotherapy, immunotherapy, and topical medications., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

In recent years, deep learning (DL) has been used extensively and successfully to diagnose different cancers in dermoscopic images. However, most approaches lack clinical inputs supported by dermatologists that could aid in higher accuracy and explainability. To dermatologists, the presence of telangiectasia, or narrow blood vessels that typically appear serpiginous or arborizing, is a critical indicator of basal cell carcinoma (BCC). Exploiting the feature information present in telangiectasia through a combination of DL-based techniques could create a pathway for both, improving DL results as well as aiding dermatologists in BCC diagnosis. This study demonstrates a novel "fusion" technique for BCC vs non-BCC classification using ensemble learning on a combination of (a) handcrafted features from semantically segmented telangiectasia (U-Net-based) and (b) deep learning features generated from whole lesion images (EfficientNet-B5-based). This fusion method achieves a binary classification accuracy of 97.2%, with a 1.3% improvement over the corresponding DL-only model, on a holdout test set of 395 images. An increase of 3.7% in sensitivity, 1.5% in specificity, and 1.5% in precision along with an AUC of 0.99 was also achieved. Metric improvements were demonstrated in three stages: (1) the addition of handcrafted telangiectasia features to deep learning features, (2) including areas near telangiectasia (surround areas), (3) discarding the noisy lower-importance features through feature importance. Another novel approach to feature finding with weak annotations through the examination of the surrounding areas of telangiectasia is offered in this study. The experimental results show state-of-the-art accuracy and precision in the diagnosis of BCC, compared to three benchmark techniques. Further exploration of deep learning techniques for individual dermoscopy feature detection is warranted., (© 2024. The Author(s) under exclusive licence to Society for Imaging Informatics in Medicine.)

Cutaneous malignancies affecting the ear, exacerbated by extensive ultraviolet (UV) exposure, pose intricate challenges owing to the organ's complex anatomy. This article investigates how the anatomy contributes to late-stage diagnoses and ensuing complexities in surgical interventions. Mohs Micrographic Surgery (MMS), acknowledged as the gold standard for treating most cutaneous malignancies of the ear, ensures superior margin control and cure rates. However, the ear's intricacy necessitates careful consideration of tissue availability and aesthetic outcomes. The manuscript explores new technologies like Reflectance Confocal Microscopy (RCM), Optical Coherence Tomography (OCT), High-Frequency, High-Resolution Ultrasound (HFHRUS), and Raman spectroscopy (RS). These technologies hold the promise of enhancing diagnostic accuracy and providing real-time visualization of excised tissue, thereby improving tumor margin assessments. Dermoscopy continues to be a valuable non-invasive tool for identifying malignant lesions. Staining methods in Mohs surgery are discussed, emphasizing hematoxylin and eosin (H&E) as the gold standard for evaluating tumor margins. Toluidine blue is explored for potential applications in assessing basal cell carcinomas (BCC), and immunohistochemical staining is considered for detecting proteins associated with specific malignancies. As MMS and imaging technologies advance, a thorough evaluation of their practicality, cost-effectiveness, and benefits becomes essential for enhancing surgical outcomes and patient care. The potential synergy of artificial intelligence with these innovations holds promise in revolutionizing tumor detection and improving the efficacy of cutaneous malignancy treatments., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The relevance of the problems of diagnosis and treatment of skin cancer is currently determined not only by the high incidence rate, but by the existing difficulties in differential diagnosis and treatment with traditional methods. For localizations of basal cell skin cancer (BCSC) that are "inconvenient" for treatment, such as the external auditory canal, auricle, and wing of the nose, treatment is associated with certain difficulties and the possible appearance of a cosmetic defect, therefore, when choosing a treatment method, the anatomical features of these organs are taken into account. It has been determined that the effectiveness of treatment for primary BCSC of the nose and auricles is higher than recurrent one, and among the various treatment methods, the most effective and radical is the surgical method. The immediate results of treatment of BCSC in the form of PR by surgical method were 86.7%, which is statistically significant compared with other types of treatment (p < 0.05). Long-term treatment results with the surgical method are also higher (77%) compared to other methods, which is also statistically significant (p < 0.05).

Introduction: Approximately 80,000 cases of skin cancer are diagnosed annually in France. The management of these cancers can occur in both university hospital centers and ambulatory surgery centers. Limited data exist regarding the epidemiology of cutaneous cancers treated through ambulatory surgery centers. The objective of our study is to describe the epidemiological characteristics of cutaneous cancers managed in a tertiary ambulatory surgery center., Methods: This is a retrospective, single-center observational study. The included patients were those who underwent surgical excision of one or more skin cancers within the maxillofacial department of a tertiary ambulatory surgery center. Clinical, therapeutic, histopathological, and follow-up data (additional surgery if margins were not clear, progression, recurrence, second cancer…) were collected., Results: Among the n = 1931 patients operated for a head and neck skin tumor from September 2018 to July 2022, n = 426 (22 %) were diagnosed with cancer upon histological analysis. The median age was 76 years (31-100), with a male-to-female ratio of 1/1. The most frequent locations were the nose (23 %) and cheek (20 %). Ten percent of patients had dual-site skin cancer at initial diagnosis. The most common histological types were basal cell carcinoma (77 %) and squamous cell carcinoma (18 %). Surgical treatment primarily consisted of "excision-reconstruction with local flap" (51 %) or "excision-suture" (34 %). Resection margins were mostly clear (65 %), and only six patients (2 %) experienced local recurrence or progression during follow-up., Conclusions: Skin cancers are prevalent in ambulatory practice. Surgical treatment allows for effective control of the cancer. Photoprotection, particularly in immunocompromised patients, remains crucial for prevention., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this article., (Copyright © 2023 Elsevier Masson SAS. All rights reserved.)

Since the scrotum is rarely exposed to sunlight, basal cell carcinoma (BCC) development in this area is an uncommon occurrence. As result, there is a scarcity of research covering this particular presentation, which poses a diagnostic and therapeutic challenge for clinicians. The objective of this systematic review is to provide a thorough overview of scrotal BCC, including a summary of its clinical characteristics, and microscopic subtypes. It also seeks to discuss the many techniques used in the management of this uncommon clinical presentation. Utilizing data from 1957 to October 2023, a systematic review of PubMed and Wiley Online Library was conducted to identify all cases of scrotal BCC with various presentations and managements. A total of 73 patients were included. The median patient age was 65.9 years (range 42 to 87). All studies were either case reports or case series. Our review shows that treatment with Mohs micrographic surgery (MMS), leads to a superior patient outcome based on anecdotal evidence in select cases. To deepen our understanding of Mohs surgery's efficacy in treating scrotal BCC, it is imperative to conduct more robust research in the form of randomized clinical trials., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Skin cancers are associated with a large number of genodermatoses. Existing knowledge and guidelines on the presentations of these genodermatoses focus disproportionately on White patients. Our goal is to identify notable characteristics in location, frequency, and severity of cutaneous findings along with the median age of skin cancers in skin-of-color (SOC) patients with skin-cancer-associated genodermatoses to improve diagnosis rates. We searched for genodermatoses on six databases. Each case report or case series was reviewed, including reports, published in English, containing adult patient descriptions. Duplicate manuscripts were removed using EndNote. The following case-level data were collected from the manuscripts: age, gender, patient country or region of origin, author country/continent of residence, skin cancer-related, and other key dermatologic features. 381 published articles, with a total of 578 SOC patients, met criteria for inclusion. SOC patients can present with fewer classic findings, such as a lower incidence of basal cell carcinomas (44%) in SOC Gorlin syndrome patients than palmar pits (66%) and mandibular cysts (66%). Differences between SOC populations were also noted, such as leukoplakia being more common in Asian dyskeratosis congenita patients (80%) in comparison to African dyskeratosis congenita patients (44%). SOC patients also have varying onset of skin cancer depending on the genodermatosis, from a median of 25 years of age in Rothmund-Thomson syndrome to 53 in Muir-Torre syndrome. In this review, SOC patients with genodermatoses can have varying presentations. Being cognizant of these characteristics may lead to earlier diagnosis and interventions to mitigate skin-cancer-related morbidity in SOC patients., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Basal Cell Carcinoma (BCC) is the most prevalent skin cancer and continues to witness a surge in incidence rates. The categorization of BCC subtypes into low or high risk, guided by recurrence and invasiveness metrics, underscores the need for precise differentiation. While the punch biopsy remains the gold standard for diagnosis, its invasiveness prompts a need for non-invasive alternatives. Ultrasound (US) has emerged as a noteworthy candidate, gaining momentum in its potential to offer a less intrusive diagnostic approach. We conducted a systematic review regarding features of the high-risk subtypes of BCC on US. A thorough literature search of PubMed Medline, Embase, and CINAHL databases was conducted according to PRISMA guidelines and a total of nine studies meeting our inclusion criteria were included in this review. Evidence is still nascent but US features such as lesional shape, depth, hyperechoic spots, and color doppler may be helpful in differentiating high-risk BCC subtypes. However, further prospective studies with standardized interventions and outcome measures are required., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The dermoscopic diagnosis of amelanotic/hypomelanotic lentigo maligna/lentigo maligna melanoma (AHLM/LMM) may be very difficult in its early stages because of lack of pigment. Reflectance confocal microscopy (RCM) is an imaging technique that is especially helpful for the diagnosis of lentigo maligna. To determine the diagnostic performances of dermoscopy and RCM in the diagnosis of AHLM/LMMs we evaluated dermoscopic and RCM images of consecutive cases of histopathologically confirmed AHLM/LMMs, amelanotic/hypomelanotic basal cell carcinoma and squamous cell carcinoma (AHBCCs/AHSCCs), amelanotic/hypomelanotic benign lesions (AHBLs), and actinic keratoses (AKs) from five participating centers. Sensitivity, specificity, accuracy, predictive values, and level of diagnosis confidence were calculated for both diagnostic procedures. Both dermoscopy and RCM showed diagnostic performance >97% in the diagnosis of AHLM/LMMs versus AHBCC/AHSCCs and their combination slightly improved diagnostic performance, with accuracy increasing from 98.0% to 99.1%. Similarly, RCM in combination with dermoscopy showed a tiny increase in the diagnostic performance in the diagnosis of AHLM/LMMs versus AHBLs (accuracy increased from 87.2% to 88.8%) and versus AKs (accuracy increased from 91.4% to 93.4%). Although the increase in diagnostic performance due to RCM was modest, the combination of dermoscopy and RCM greatly increased the level of confidence; high confidence in the diagnosis of AHLM/LMMs versus AHBLs increased from 36.2% with dermoscopy alone to 76.6% with dermoscopy plus RMC. Based on our results, dermoscopy and RCM should be complementary to improve not only diagnostic accuracy but also the level of diagnostic certainty in the diagnosis of AHLM/LMMs., (© 2024 The Authors. The Journal of Dermatology published by John Wiley & Sons Australia, Ltd on behalf of Japanese Dermatological Association.)

Opinion Statement: Skin tumors commonly seen in dermatology are involved in all layers of the skin and appendages. While biopsy of affected skin remains an essential method to confirm diagnosis and to predicate tumor prognosis, it has its limitations. Recently, photodynamic diagnosis (PDD) has demonstrated high sensitivity in detecting affected skin and mucosal tissues, providing valuable guidance for precision surgery to resect skin and mucosal tumors. In this review, we summarized the literatures concerning the applications of PDD in diagnostic process and treatment of skin and mucosal conditions such as actinic keratoses (AK), basal cell carcinoma (BCC), squamous cell carcinoma (SCC), Bowen's disease (BD) and extramammary Paget's disease (EMPD). The findings suggest that PDD holds substantial promise for expanding clinical applications and deserves further research exploration., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Background: The incidence rates of cutaneous squamous cell carcinoma (cSCC) and basal cell carcinoma (BCC) skin cancers are rising, while the current diagnostic process is time-consuming. We describe the development of a novel approach to high-throughput sampling of tissue lipids using electroporation-based biopsy, termed e-biopsy. We report on the ability of the e-biopsy technique to harvest large amounts of lipids from human skin samples., Materials and Methods: Here, 168 lipids were reliably identified from 12 patients providing a total of 13 samples. The extracted lipids were profiled with ultra-performance liquid chromatography and tandem mass spectrometry (UPLC-MS-MS) providing cSCC, BCC, and healthy skin lipidomic profiles., Results: Comparative analysis identified 27 differentially expressed lipids (p < 0.05). The general profile trend is low diglycerides in both cSCC and BCC, high phospholipids in BCC, and high lyso-phospholipids in cSCC compared to healthy skin tissue samples., Conclusion: The results contribute to the growing body of knowledge that can potentially lead to novel insights into these skin cancers and demonstrate the potential of the e-biopsy technique for the analysis of lipidomic profiles of human skin tissues., (© 2024 The Authors. Skin Research and Technology published by John Wiley & Sons Ltd.)

One of the most common forms of cancer in fair skinned populations is Non-Melanoma Skin Cancer (NMSC), which primarily consists of Basal Cell Carcinoma (BCC), and cutaneous Squamous Cell Carcinoma (SCC). Detecting NMSC early can significantly improve treatment outcomes and reduce medical costs. Similarly, Actinic Keratosis (AK) is a common skin condition that, if left untreated, can develop into more serious conditions, such as SCC. Hyperspectral imagery is at the forefront of research to develop non-invasive techniques for the study and characterisation of skin lesions. This study aims to investigate the potential of near-infrared hyperspectral imagery in the study and identification of BCC, SCC and AK samples in comparison with healthy skin. Here we use a pushbroom hyperspectral camera with a spectral range of ≈ 900 to 1600 nm for the study of these lesions. For this purpose, an ad hoc platform was developed to facilitate image acquisition. This study employed robust statistical methods for the identification of an optimal spectral window where the different samples could be differentiated. To examine these datasets, we first tested for the homogeneity of sample distributions. Depending on these results, either traditional or robust descriptive metrics were used. This was then followed by tests concerning the homoscedasticity, and finally multivariate comparisons of sample variance. The analysis revealed that the spectral regions between 900.66-1085.38 nm, 1109.06-1208.53 nm, 1236.95-1322.21 nm, and 1383.79-1454.83 nm showed the highest differences in this regard, with <1% probability of these observations being a Type I statistical error. Our findings demonstrate that hyperspectral imagery in the near-infrared spectrum is a valuable tool for analyzing, diagnosing, and evaluating non-melanoma skin lesions, contributing significantly to skin cancer research., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Courtenay et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)