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Eccrine poroma: The prominent mimicker Shihab, Nahla; Kristanti, Inge Ade; Sampurna, Adhimukti T.; Wibawa, Larisa Paramitha
Journal of General - Procedural Dermatology & Venereology Indonesia Vol. 3, No. 1
Publisher : UI Scholars Hub

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Abstract

Background: Eccrine poroma (EP) is an adnexal benign tumor arising from the eccrine duct epithelium. The appearance of EP can mimic benign and malignant skin tumors, thus often making the diagnosis delayed or inaccurate. Case Illustration: We report two cases of EP, with clinical and dermoscopic features mimicking Bowen’s disease, verruca vulgaris, pyogenic granuloma, skin metastases of breast cancer, and amelanotic melanoma. Both patients were surgically excised and biopsied. Histopathology examination of both cases revealed eccrine poroma. Discussion: Both cases showed similarity with the theories, that EP is most found in middle age population and its predilection on extremities. The dermoscopy appearance of the first patient showed two major components, multiple red dots and lacunae mimicking glomerular vessels, and multiple whitish halos-likekeratosis. Red dots with whitish halos can be seen in dermoscopy of verruca vulgaris, while glomerular vessels and keratosis is usually found in Bowen’s disease. The dermoscopy examination of our second patient only showed some loop hemorrhagic and thrombosed vessels, which are quite inconclusive. Diagnoses were made with histopathology examination which revealed similar pattern of eccrine poroma in both cases. Conclusion: EP is a prominent mimicker, often misdiagnosed because it is uncommon in clinical practice, has variable clinical presentations and dermoscopic appearances. Hence, recognizing and diagnosing this disease becomes a challenge for dermatologist.
Recurrent basal cell carcinoma with maxillary bone invasion Sampurna, Adhimukti T.; Riani, Eva; Kristanti, Inge Ade; Dwina, Yayi; Ohara, Kuniaki
Journal of General - Procedural Dermatology & Venereology Indonesia Vol. 4, No. 1
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Background: Basal cell carcinoma (BCC) is a malignant, slow growing, and locally invasive skin tumor. Advanced and neglected BCC may invade adjacent structures. The 5-year recurrence rates of facial BCCs are 4.1% after excision and 2.5% after Mohs Micrographic Surgery (MMS). The number of BCC cases invading the bones of the head and neck region is limited. Case Illustration: A 75-year-old male complained of bleeding and ulcer enlargement on the right cheek expanding to the right nasal ala for 1 month. The patient had a history of an enlarged and painful lenticular nodule with a hyperpigmented spot that appeared 10 years ago on the right cheek and was diagnosed as BCC. The patient was treated with a wide excision having a negative pathological margin 3 years ago. He noticed that the similar lesion reappeared at the same location 2.5 years ago. Post-operative histopathological results showed nodular infiltrative BCC and maxillary bone invasion. Discussion: Based on history taking, physical examination, and diagnostic evaluation, the diagnosis of the patient was recurrent nodular infiltrative BCC. The final histopathology confirmed that tumor cells invaded the maxillary bone. After considering the treatment options, the patient opted to proceed with radiotherapy. Conclusion: Recurrent nodular BCC with invasion to the maxillary bone is a rare and interesting case. Among 140 BCC cases that we treated with MMS in our hospital from June 2014 to September 2019, this case is the first recurrent BCC with maxillary bone invasion.
Recent progress in immunotherapy for skin cancer Mughni, Fadhli Aulia; Astriningrum, Rinadewi; Hoemardani, Aida SD; Bramono, Kusmarinah; Sampurna, Adhimukti T.; Sutarjo, Agassi Suseno
Journal of General - Procedural Dermatology & Venereology Indonesia Vol. 6, No. 1
Publisher : UI Scholars Hub

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Skin cancer is a global health concern due to its growing incidence and high mortality rate. The most common therapeutic modalities in skin cancer include surgery, radiotherapy, and chemotherapy. However, those therapies do not specifically target cancer cells and may damage healthy tissues. Cancer induces immune response by releasing soluble antigens and danger signals caused by tumor cellular stress or death, while the immune system continuously monitor and control malignant proliferation through cancer immunoediting. Therefore, targeting this mechanism is a promising approach to manage cancer, especially those unresponsive to conventional therapies. Immunotherapy is a specific therapy that manipulates the immune system to fight the disease. Previous studies have shown promising results in its clinical use in melanoma and non-melanoma skin cancer (NMSC). However, its potential toxicity and tolerability may pose significant obstacles in developing effective cancer immunotherapy. Biomedical, immunological, and clinical research in skin cancer is still needed to elaborate further on its pathogenesis and design safe and effective therapy for each skin cancer.
The development and use of artificial intelligence (AI) in dermatology: a narrative review Irene Darmawan; Shannaz Nadia Yusharyahya; Sampurna, Adhimukti T.; Saputro, Adhi Harmoko
Indonesian Journal of Biomedicine and Clinical Sciences Vol 56 No 3 (2024)
Publisher : Published by Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/inajbcs.v56i3.15970

Abstract

Artificial intelligence (AI) is defined as a computer science involving program development aiming to reproduce human cognition to analyze complex data. Artificial intelligence has rapidly developed in the medical field. In dermatology, its development is relatively new and is generally used in the diagnostic, especially for skin imaging analysis and classification, and also for risk assessment. The greatest advances have been primarily in the diagnosis of melanoma, followed by the assessment of psoriasis, ulcers, and various other skin diseases. The use of AI has shown good accuracy and is comparable to dermatologists in various studies, especially related to melanoma and skin tumors. However, several obstacles exist in the application of AI to daily clinical practice, including generalizability, image standardization, the need for large data quantities, and legal and privacy aspects. In current developments, AI should be aimed at helping enhance the decision-making of clinicians.