Australas J Dermatol
June 2024
Background: Atrophic acne scarring is a common sequela of inflammatory acne, causing significant problems for affected patients. Although prolonged inflammation and subsequent aberrant tissue regeneration are considered the underlying pathogenesis, the role of epidermal stem cells, which are crucial to the regeneration of pilosebaceous units, remains unknown.
Objectives: To examine the changes occurring in epidermal stem cells in atrophic acne scars.
Ann Dermatol
November 2023
Lowe syndrome (LS), also known as oculocerebrorenal syndrome, is an X-linked multisystemic disorder caused by mutations in , which encodes a member of the inositol-5-phosphatase family. As implied by its name, congenital cataracts, defects in the central nervous system, and renal manifestations are the main symptoms. Early hidradenitis suppurativa (HS) occurrence in Dent disease 2 (DD2), which is a mild variant of LS and shares the gene mutation, has been reported, although not in LS patients.
View Article and Find Full Text PDFCase Rep Dermatol
September 2023
Primary cutaneous marginal zone lymphoma (PCMZL) is a rare form of B-cell lymphoma that primarily affects the skin. Chronic antigen stimulation has been implicated in its development, with cases associated with various triggers. We present a case of PCMZL following chronic inflammation caused by long-term hair dyeing.
View Article and Find Full Text PDFBackground: Differences in clinical efficacy based on the fluence of fractional picosecond laser treatment for acne scars are unknown.
Objective: To compare the efficacy and safety of low-fluence versus high-fluence fractional picosecond Nd:YAG 1064-nm laser treatment in acne scar patients.
Methods: In this 12-week, investigator-blinded, randomized, split-face study, 25 patients with moderate-to-severe acne scars received three sessions of high-fluence laser treatment (1.
Background: Although lesion counting is an evaluation method that effectively analyzes facial acne severity, its usage is limited because of difficult implementation.
Objectives: We aimed to develop and validate an automated algorithm that detects and counts acne lesions by type, and to evaluate its clinical applicability as an assistance tool through a reader test.
Methods: A total of 20,699 lesions (closed and open comedones, papules, nodules/cysts, and pustules) were manually labeled on 1213 facial images of 398 facial acne photography sets (frontal and both lateral views) acquired from 258 patients and used for training and validating algorithms based on a convolutional neural network for classifying five classes of acne lesions or for binary classification into noninflammatory and inflammatory lesions.