Dermatopathology最新文献_第5页

The Need for Standardization of PRAME Immunohistochemistry in Melanocytic Neoplasms. 黑素细胞肿瘤PRAME免疫组化标准化的必要性。

IF 1.7

Dermatopathology Pub Date : 2025-12-31 DOI: 10.3390/dermatopathology13010005

Calla M Sullivan, Dominick DiMaio, Scott Lauer, Dinesh Pradhan, Julie Youngs, Kaeli Samson, Corey J Georgesen

{"title":"The Need for Standardization of PRAME Immunohistochemistry in Melanocytic Neoplasms.","authors":"Calla M Sullivan, Dominick DiMaio, Scott Lauer, Dinesh Pradhan, Julie Youngs, Kaeli Samson, Corey J Georgesen","doi":"10.3390/dermatopathology13010005","DOIUrl":"10.3390/dermatopathology13010005","url":null,"abstract":"Accurate diagnosis of melanomas is crucial for proper evaluation and treatment. One immunohistochemical stain frequently utilized is PRAME (PReferentially expressed Antigen in MElanoma), a tumor-associated antigen expressed in most melanomas. This study aims to evaluate the reproducibility of PRAME scoring performed by dermatopathologists at an academic tertiary referral medical center. A blinded survey was designed featuring 21 melanocytic neoplasms stained with PRAME and H&E. For each case, five dermatopathologists provided a PRAME score from 0-4+, percent PRAME positivity, values for H-score, and a descriptive interpretation. Absolute agreement across raters was assessed using a Kappa statistic for PRAME score and intraclass correlations (ICCs) for H-score and PRAME percentage. Statistical analysis indicated poor inter-rater reliability for PRAME score (Kappa = 0.16), percent PRAME positivity (ICC = 0.31), and H-score (ICC = 0.40). Reporting language varied among pathologists. Our study demonstrated that the interpretation of PRAME immunohistochemistry lacks reproducibility, especially for challenging lesions. This suggests that a more rigorous, defined, and reproducible scoring method should be investigated for equivocal cases. Future studies may explore the utility of artificial intelligence software in the interpretation of PRAME for borderline lesions to improve reliability and standardize scoring.","PeriodicalId":42885,"journal":{"name":"Dermatopathology","volume":"13 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12821538/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146012642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deeply Pigmented Reticulated Acanthoma with Sebaceous Differentiation Mimicking Cutaneous Malignancy: A Case Report and Review of the Literature. 深色素网状棘瘤伴皮脂腺分化模拟皮肤恶性肿瘤：1例报告及文献复习。

IF 1.7

Dermatopathology Pub Date : 2025-12-30 DOI: 10.3390/dermatopathology13010004

Padol Chamninawakul, Xiaotian Wu, Joyce S S Lee

{"title":"Deeply Pigmented Reticulated Acanthoma with Sebaceous Differentiation Mimicking Cutaneous Malignancy: A Case Report and Review of the Literature.","authors":"Padol Chamninawakul, Xiaotian Wu, Joyce S S Lee","doi":"10.3390/dermatopathology13010004","DOIUrl":"10.3390/dermatopathology13010004","url":null,"abstract":"Reticulated acanthoma with sebaceous differentiation (RASD) is a rare, benign cutaneous neoplasm. Its variable clinical presentation frequently mimics both benign and malignant entities, posing a significant diagnostic challenge. We report a case of pigmented RASD in a 78-year-old Malay male of Fitzpatrick skin type IV who presented with a 5-year history of an 8 × 5 mm deeply pigmented, asymmetrical nodule on the left upper back, with a 2 mm central raised area showing less pigmentation. The lesion was clinically suspicious for malignant melanoma. Histopathological examination revealed characteristic features of RASD: a broad, plate-like, reticulated and pigmented epidermal proliferation with clusters of mature sebocytes at the bases of anastomosing rete ridges. Following biopsy confirmation, the residual lesion is being managed conservatively with observation. This case demonstrates an unusual heavily pigmented clinical presentation that completely obscured the typical yellowish hue associated with sebaceous differentiation, highlighting pigmented RASD as an important diagnostic pitfall in patients with skin of color. In conclusion, RASD should be included in the differential diagnosis of pigmented cutaneous lesions, especially in patients with skin of color. Recognition of this benign entity can prevent unnecessary aggressive surgical intervention.","PeriodicalId":42885,"journal":{"name":"Dermatopathology","volume":"13 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12821508/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146012627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Increased Expression of Angiopoietin 2 and Tie2 in Rosacea. 血管生成素2和Tie2在酒渣鼻组织中的表达升高。

IF 1.7

Dermatopathology Pub Date : 2025-12-25 DOI: 10.3390/dermatopathology13010002

Aysin Kaya, Jean-Hilaire Saurat, Nathalie Satta, Gürkan Kaya

引用次数: 0

Hypothetical Abductive Reasoning in Dermatology and Dermatopathology. 皮肤病学和皮肤病理学中的假设外展推理。

IF 1.7

Dermatopathology Pub Date : 2025-12-25 DOI: 10.3390/dermatopathology13010003

Carlo Francesco Tomasini, Lorenzo Magnani

{"title":"Hypothetical Abductive Reasoning in Dermatology and Dermatopathology.","authors":"Carlo Francesco Tomasini, Lorenzo Magnani","doi":"10.3390/dermatopathology13010003","DOIUrl":"10.3390/dermatopathology13010003","url":null,"abstract":"Abductive reasoning, or abduction, is a key process in scientific discovery and medical diagnosis. In everyday dermatology and dermatopathology, however, it functions as the practical engine behind differential diagnosis, clinicopathologic correlation, and disciplined pattern recognition. In this paper, we retain the epistemological foundation of abduction but translate it into usable steps for clinicians and dermatopathologists. We distinguish abduction from deduction and induction; separate creative abduction (which generates new concepts) from selective abduction (daily diagnostic choice); and show how both operate within a simple Select-and-Test (ST) Model: select a hypothesis, deduce what else should be true, test against data, and then update. We then reinterpret Ackerman's algorithmic method of pattern analysis as an operationalization of the ST-Model. Through a couple of concise case vignettes, we illustrate visual and manipulative abduction, nonmonotonic updates, and the role of artifacts (dermoscopy, DIF, stains) as so-called epistemic mediators. Finally, we map contemporary AI tools to selective abduction and propose practical guardrails for fairness, transparency, and accountability. The result is a pragmatic framework that preserves philosophical depth while addressing the daily needs of dermatologists and dermatopathologists in the clinic and at the microscope.","PeriodicalId":42885,"journal":{"name":"Dermatopathology","volume":"13 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12821428/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146012681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Artificial Intelligence for Lentigo Maligna: Automated Margin Assessment via Sox-10-Based Melanocyte Density Mapping. 恶性Lentigo的人工智能：基于sox -10的黑素细胞密度测绘的自动边缘评估。

IF 1.7

Dermatopathology Pub Date : 2025-12-19 DOI: 10.3390/dermatopathology13010001

Rieke Löper, Lennart Abels, Daniel Otero Baguer, Felix Bremmer, Michael P Schön, Christina Mitteldorf

{"title":"Artificial Intelligence for Lentigo Maligna: Automated Margin Assessment via Sox-10-Based Melanocyte Density Mapping.","authors":"Rieke Löper, Lennart Abels, Daniel Otero Baguer, Felix Bremmer, Michael P Schön, Christina Mitteldorf","doi":"10.3390/dermatopathology13010001","DOIUrl":"10.3390/dermatopathology13010001","url":null,"abstract":"Lentigo maligna (LM) is a melanoma in situ with high cumulative sun damage. Histological evaluation of resection margins is difficult and time-consuming. Melanocyte density (MD) is a suitable, quantifiable, and reproducible diagnostic criterion. In this retrospective single-centre study, we investigated whether an artificial intelligence (AI) tool can support the assessment of LM. Training and evaluation were based on MD in Sox-10-stained digitalised slides. In total, 86 whole slide images (WSIs) from LM patients were annotated and used as a training set. The test set consisted of 177 slides. The tool was trained to detect the epidermis, measure its length, and determine the MD. A cut-off of ≥30 melanocytes per 0.5 mm of epidermis length was defined as positive. Our AI model automatically recognises the epidermis and measures the MD. The model was trained on nuclear immunohistochemical signals and can also be applied to other nuclear stains, such as PRAME or MITF. The WSI is automatically visualised by a three-colour heat map with a subdivision into low, borderline, and high melanocyte density. The cut-offs can be adjusted individually. Compared to manually counted ground truth MD, the AI model achieved high sensitivity (87.84%), specificity (72.82%), and accuracy (79.10%), and an area under the curve (AUC) of 0.818 in the test set. This automated tool can assist (dermato) pathologists by providing a quick overview of the WSI at first glance and making the time-consuming assessment of resection margins more efficient and more reproducible. The AI model can provide significant benefits in the daily routine workflow.","PeriodicalId":42885,"journal":{"name":"Dermatopathology","volume":"13 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12821717/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146012647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Is Radiotherapy a Risk Factor for Melanoma? 放射治疗是黑色素瘤的危险因素吗？

IF 1.7

Dermatopathology Pub Date : 2025-11-17 DOI: 10.3390/dermatopathology12040043

Sumeyye Ozer, Priya Agarwal, Noah Musolff, Brendan Plann-Curley, Gizem Cosgun, Helen Yanyu Sun, Babar Rao

{"title":"Is Radiotherapy a Risk Factor for Melanoma?","authors":"Sumeyye Ozer, Priya Agarwal, Noah Musolff, Brendan Plann-Curley, Gizem Cosgun, Helen Yanyu Sun, Babar Rao","doi":"10.3390/dermatopathology12040043","DOIUrl":"10.3390/dermatopathology12040043","url":null,"abstract":"Melanoma is a highly aggressive skin cancer primarily linked to ultraviolet (UV) radiation. However, the potential role of ionizing radiation from radiotherapy in melanoma development remains unclear. This review synthesizes data from epidemiologic studies and case reports on melanoma after radiation exposure. Evidence indicates that childhood radiotherapy, even at low doses, is associated with an increased melanoma risk, plausibly reflecting the heightened radiosensitivity of developing melanocytes. Occupational radiation exposure, particularly in earlier eras with insufficient shielding, also appears to elevate risk. In patients exposed to radiation in adulthood, findings are mixed: large population datasets suggest a modest increase in melanoma following therapeutic radiation, whereas some case-control analyses do not demonstrate a clear dose-response relationship. UV radiation promotes melanomagenesis through direct DNA photoproducts driving characteristic C>T transitions at dipyrimidine sites, alongside oxidative stress and local immune modulation that facilitate malignant transformation. Collectively, individuals with prior radiotherapy, especially those irradiated in childhood, should be considered at increased melanoma risk and may benefit from long-term, targeted surveillance of irradiated fields. Awareness of this association between radiation exposure and melanoma may also support clinicopathologic correlation during the diagnostic evaluation of melanocytic lesions. Future work should define dose-response relationships in contemporary radiotherapy methods, characterize molecular signatures of ionizing radiation-associated melanomas, and establish evidence-based surveillance strategies for high-risk cohorts.","PeriodicalId":42885,"journal":{"name":"Dermatopathology","volume":"12 4","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12641713/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145589112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Translating Features to Findings: Deep Learning for Melanoma Subtype Prediction. 将特征转化为发现：黑色素瘤亚型预测的深度学习。

IF 1.8

Dermatopathology Pub Date : 2025-11-12 DOI: 10.3390/dermatopathology12040042

Dorra Guermazi, Sarina Khemchandani, Samer Wahood, Cuong Nguyen, Elie Saliba

{"title":"Translating Features to Findings: Deep Learning for Melanoma Subtype Prediction.","authors":"Dorra Guermazi, Sarina Khemchandani, Samer Wahood, Cuong Nguyen, Elie Saliba","doi":"10.3390/dermatopathology12040042","DOIUrl":"10.3390/dermatopathology12040042","url":null,"abstract":"Melanoma subtyping plays a vital role in histopathological diagnosis, informing prognosis and, in some cases, guiding targeted therapy. However, conventional histologic classification is constrained by inter-rater reliability, morphologic overlap, and the underrepresentation of rare subtypes. Deep learning (DL)-particularly convolutional neural networks (CNNs)-presents a compelling opportunity to enhance diagnostic precision and reproducibility through automated analysis of histopathologic slides. This review examines the clinical importance and diagnostic challenges of melanoma subtyping, outlines core DL methodologies in dermatopathology, and synthesizes current advances in applying DL to subtype classification. Pertinent limitations including dataset imbalance, a lack of interpretability, and domain generalizability are discussed. Additionally, emerging directions such as multimodal integration, synthetic data generation, federated learning, and explainable AI are highlighted as potential solutions. As these technologies mature, DL holds considerable promise in advancing melanoma diagnostics and supporting more personalized, accurate, and equitable patient care.","PeriodicalId":42885,"journal":{"name":"Dermatopathology","volume":"12 4","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12641954/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145589166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Asymmetric Lip Hyperpigmentation in a Transplant Patient. 移植患者的不对称唇色素沉着。

IF 1.7

Dermatopathology Pub Date : 2025-11-10 DOI: 10.3390/dermatopathology12040041

Vincent Kimpe, David Alvarez Martinez, Sébastien Menzinger, Gürkan Kaya

引用次数: 0

Indeterminate Subcutaneous Lesion of the Nasal Dorsum in an Adolescent: A Multidisciplinary Approach to a Rare Case of Spindle Cell Lipoma. 青少年鼻背不确定皮下病变：多学科方法治疗罕见的梭形细胞脂肪瘤病例。

IF 1.7

Dermatopathology Pub Date : 2025-11-04 DOI: 10.3390/dermatopathology12040040

Alessandro Serrone, Chiara Rustichelli, Gian Luca Fadda, Giuseppe Riva, Massimo Rizzo, Giovanni Cavallo

引用次数: 0

Histopathologic Features and Molecular Markers of Encephalocraniocutaneous Lipomatosis (ECCL). 脑颅皮脂肪瘤病（ECCL）的组织病理学特征和分子标志物。

IF 1.7

Dermatopathology Pub Date : 2025-11-03 DOI: 10.3390/dermatopathology12040039

Siddharth Venigalla, Tanvir K Dhaliwal, Anvita Anumolu, Lena Rafey, Arturo P Saavedra, David D Limbrick

{"title":"Histopathologic Features and Molecular Markers of Encephalocraniocutaneous Lipomatosis (ECCL).","authors":"Siddharth Venigalla, Tanvir K Dhaliwal, Anvita Anumolu, Lena Rafey, Arturo P Saavedra, David D Limbrick","doi":"10.3390/dermatopathology12040039","DOIUrl":"10.3390/dermatopathology12040039","url":null,"abstract":"Encephalocraniocutaneous lipomatosis (ECCL) is a rare congenital neurocutaneous disorder characterized by ocular, skin, and central nervous system manifestations. Despite its recognizable clinical features, such as nevus psiloliparus, histopathologic characterization of ECCL remains limited in the dermatopathology literature, and diagnosis is often clinical. This scarcity of published histopathological descriptions makes diagnostic confirmation challenging and underscores the value of synthesizing the available evidence. This comprehensive review synthesizes reported histopathological findings across cutaneous manifestations highlighting key tissue-level features that may aid diagnostic confirmation. Additionally, we review the emerging role of molecular diagnostics, particularly the identification of mosaic activating mutations in FGFR-1 and KRAS, which have been implicated in ECCL pathogenesis. By integrating clinicopathologic correlations with molecular insights, this review aims to enhance our dermatopathological understanding of ECCL, bolstering diagnostic reasoning and clinical decision making for this rare neurocutaneous condition.","PeriodicalId":42885,"journal":{"name":"Dermatopathology","volume":"12 4","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12641649/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145589154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0