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1.
Korean Journal of Dermatology ; : 276-278, 2020.
Article | WPRIM | ID: wpr-832745

ABSTRACT

Extraskeletal osteochondroma is a rare, benign, bone tumor of the soft tissue that generally affects the soft tissue of the hands and feet, followed by the trunk, and is rarely reported in the head and neck area. A 41-year-old female presented with an asymptomatic, skin-colored, palpable nodule on the neck that had been slowly growing over an unknown period of time. An ultrasound examination revealed a 0.9-cm-sized, dense, calcified lesion in the skin layer on the left side of the neck. Calcinosis cutis, pilomatricoma, and other benign tumors were clinically suspected, and a tumor excision was performed. The histological examination showed encapsulated round nodules composed of mature hyaline cartilage, which gradually changed into mature bone tissue. Extraskeletal osteochondroma was diagnosed by pathological examination. Here, we report an interesting case of extraskeletal osteochondroma in an unusual location.

2.
Korean Journal of Dermatology ; : 416-418, 2020.
Article | WPRIM | ID: wpr-832687

ABSTRACT

Lipoma is a very common benign tumor of the adipose tissue, but it occurs infrequently in the oral cavity. A 66-year-old man presented with an asymptomatic, solitary, 1×1-cm-sized yellowish mass on the lower lip, since 2 years. For differential diagnosis, skin biopsy was performed, and histopathologic examination showed features indicative of lipoma. We herein report a rare case of oral lipoma occurring on the lower lip.

3.
Korean Journal of Dermatology ; : 617-620, 2019.
Article in Korean | WPRIM | ID: wpr-917609

ABSTRACT

Acquired periungual fibrokeratoma, first reported by Cahn in 1977, is a rare, benign fibrous tissue tumor located in the periungual area. The pathophysiology of acquired periungual fibrokeratoma is unknown. In general, trauma is often thought to be a predisposing factor. A 57-year-old woman presented with a 15-year-old asymptomatic, solitary, 1.8×1.5-cm, skin-colored mass on the Lt. thumb nail. The patient reported that they had been wounded on the nail root and the mass had since grown. For differential diagnosis and to determine the extent of the tumor, MRI of the finger was performed. Radiologic presentation showed a non-enhancing T2 low, T1 low signal mass above the nail plate. Histopathologic examination demonstrated a dome-shaped tumor consisting of thick dermal collagen bundles with increased capillaries. Through clinical, radiological, and histopathologic findings, we diagnosed the tumor as acquired periungual fibrokeratoma, and the lesion was removed through complete excision. Herein, we present a rare case of acquired fibrokeratoma covering whole thumb. The specific diagnosis was aided by MRI more through the acquisition of more accurate information about the location and signal characteristics that reflect underlying pathological features.

4.
Korean Journal of Dermatology ; : 421-425, 2018.
Article in Korean | WPRIM | ID: wpr-716124

ABSTRACT

BACKGROUND: Acne is a chronic inflammatory disease of the pilosebaceous unit, mainly on the face. It can have various clinical manifestations and should be appropriately treated based on the severity. In Korea, the ‘Korea Acne Severity Rating System (KAGS)’ is a standardized index to determine the severity of acne according to specific Korean characteristics. However, the actual use of the KAGS in clinical settings has been limited. OBJECTIVE: We sought to analyze whether we could effectively measure acne severity using a deep learning algorithm, which is an image learning method. METHODS: Acne severity was classified into three levels of mild, moderate, and severe based on the KAGS, and learning and verification were performed using the CNN (Convolutional Neural Network), a deep learning technique. RESULTS: GoogLeNet's Inception-v3 algorithm showed the highest accuracy at 86.7%. CONCLUSION: This study confirmed that the use of a deep learning algorithm may facilitate the scoring of acne severity.


Subject(s)
Acne Vulgaris , Korea , Learning , Methods
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