1.Histopathological analysis of surgical skin specimens at the National Dermatology Center of Mongolia
Delgerzaya E ; Nasamjargal E ; Emkhjargal J ; Dashdolgor Ts ; Shinejargal G ; Sukhbold D ; Bulgantsetseg T ; Amarjargal B
Mongolian Journal of Health Sciences 2026;94(4):23-27
Background:
Histopathological examination of skin tissue plays an important role in the diagnosis of dermatological diseases; however, data on surgically excised skin specimens remain limited in Mongolia.
Aim:
To classify benign and malignant tumors based on histopathological findings of surgically excised skin tissue specimens, determine surgical margin status, and evaluate the age and sex distribution of these conditions.
Materials and Methods:
This retrospective observational study was conducted using data on surgically excised tissue specimens collected in the outpatient department of the National Dermatology Center between January 2023 and March 2026. A total of 361 patients were identified. Four cases with indeterminate histopathological diagnoses were excluded, leaving 357 patients for final analysis. Data on age, sex, diagnosis, and surgical margin status were collected and analyzed on Microsoft Excel programm. Histopathological diagnoses were classified as benign or malignant tumors. Associations between categorical variables were assessed using the chi-square test, with statistical significance set at p < 0.05.
Results:
Among 357 patients, 135 (37.8%) were male and 222 (62.2%) were female, with a mean age of 41.8 years. The 20–39-year age group accounted for the largest proportion of cases (39.5%). Histopathological examination showed that 326 cases (91.32%) were benign and 31 cases (8.68%) were malignant. Among benign tumors, melanocytic nevus was the most common diagnosis, while basal cell carcinoma was the most common malignant tumor. The frequency of malignant tumors increased significantly with age (p < 0.001). Patients aged ≥60 years had significantly higher odds of malignancy compared with younger patients (OR = 8.19, 95% CI: 3.79–17.69). Malignant lesions were significantly more likely to have positive (involved) surgical margins than benign lesions.
Conclusion
Most surgically excised skin tissue specimens were benign; however, the likelihood of malignancy increased significantly with age. Surgical margin assessment is clinically important for improving prognosis, reducing the risk of recurrence, and guiding treatment management.
2.Lentigo Maligna Melanoma: A Clinical case Treated surgically
Bulgantsetseg T ; Ganchimeg M ; Delgerzaya E ; Ariuntuya R
Mongolian Journal of Health Sciences 2026;94(4):129-132
Background:
Melanoma is a malignant tumor arising from melanocytes and represents the most aggressive form of skin cancer, characterized by rapid progression and a high risk of metastasis. Lentigo maligna melanoma (LMM), a subtype of melanoma, typically develops on chronically sun-exposed skin of the face and neck in elderly individuals and accounts for approximately 10–15% of all cutaneous melanomas. Major risk factors for LMM include ultraviolet (UV) radiation exposure, advanced age, fair skin phenotype, genetic predisposition, and the presence of multiple melanocytic nevi or pigmented lesions. The diagnosis of LMM is established through clinical evaluation, histopathological examination, and immunohistochemical analysis. Surgical excision remains the gold standard of treatment.
Case Presentation
A 57-year-old female presented to the Department of Dermatologic Surgery and Aesthetic Reconstruction at the National Center for Dermatology with a progressively enlarging pigmented lesion on her right cheek. According to the patient’s history, the lesion had been present for more than 10 years and had gradually increased in size. The lesion was surgically excised, and the diagnosis of lentigo maligna melanoma was confirmed by histopathological and immunohistochemical studies. This case aims to highlight the diagnostic approach and appropriate management of LMM, with particular emphasis on the effectiveness of surgical treatment.
Result Analysis
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