A Randomized Clinical Trial to Evaluate the Efficacy of an Oral Probiotic in Acne Vulgaris.

The relevance of the gut microbiota in some skin inflammatory diseases, including acne vulgaris, has been emphasized. Probiotics could play a role in the modulation of the microbiota, improving the clinical course of this disease. A 12-week randomized, double-blind, placebo-controlled, clinical trial with patients aged 12 to 30 years with acne vulgaris was conducted. The study product was a capsule composed of the probiotic Lacticaseibacillus rhamnosus (CECT 30031) and the cyanobacterium Arthrospira platensis (BEA_IDA_0074B). Patients with improvement in the Acne Global Severity Scale were 10/34 (29.41%) in the placebo group compared with 20/40 (50%) in the probiotic group (p = 0.03). A significant reduction (p = 0.03) in the number of non-inflammatory acne lesions was observed in the probiotic group (-18.60 [-24.38 to -12.82]) vs the placebo group (-10.54 [-17.43 to -3.66]). Regarding the number of total  lesions, a reduction almost reaching statistical significance (p = 0.06) was observed in the probiotic group (-27.94 [-36.35 to -19.53]) compared with the placebo group (-18.31 [-28.21 to -8.41]). In addition, patients with improvement attending the Global Acne Grading System were 7/34 (20.58%) in the placebo group vs 17/40 (42.50%) in the probiotic group (p = 0.02). The number of adverse events was similar in both groups. The probiotic used in this study was effective and well tolerated, and it should be considered for acne vulgaris patients.

Comparison of humans versus mobile phone-powered artificial intelligence for the diagnosis and management of pigmented skin cancer in secondary care: a multicentre, prospective, diagnostic, clinical trial.

BACKGROUND: Diagnosis of skin cancer requires medical expertise, which is scarce. Mobile phone-powered artificial intelligence (AI) could aid diagnosis, but it is unclear how this technology performs in a clinical scenario. Our primary aim was to test in the clinic whether there was equivalence between AI algorithms and clinicians for the diagnosis and management of pigmented skin lesions. METHODS: In this multicentre, prospective, diagnostic, clinical trial, we included specialist and novice clinicians and patients from two tertiary referral centres in Australia and Austria. Specialists had a specialist medical qualification related to diagnosing and managing pigmented skin lesions, whereas novices were dermatology junior doctors or registrars in trainee positions who had experience in examining and managing these lesions. Eligible patients were aged 18-99 years and had a modified Fitzpatrick I-III skin type; those in the diagnostic trial were undergoing routine excision or biopsy of one or more suspicious pigmented skin lesions bigger than 3 mm in the longest diameter, and those in the management trial had baseline total-body photographs taken within 1-4 years. We used two mobile phone-powered AI instruments incorporating a simple optical attachment: a new 7-class AI algorithm and the International Skin Imaging Collaboration (ISIC) AI algorithm, which was previously tested in a large online reader study. The reference standard for excised lesions in the diagnostic trial was histopathological examination; in the management trial, the reference standard was a descending hierarchy based on histopathological examination, comparison of baseline total-body photographs, digital monitoring, and telediagnosis. The main outcome of this study was to compare the accuracy of expert and novice diagnostic and management decisions with the two AI instruments. Possible decisions in the management trial were dismissal, biopsy, or 3-month monitoring. Decisions to monitor were considered equivalent to dismissal (scenario A) or biopsy of malignant lesions (scenario B). The trial was registered at the Australian New Zealand Clinical Trials Registry ACTRN12620000695909 (Universal trial number U1111-1251-8995). FINDINGS: The diagnostic study included 172 suspicious pigmented lesions (84 malignant) from 124 patients and the management study included 5696 pigmented lesions (18 malignant) from the whole body of 66 high-risk patients. The diagnoses of the 7-class AI algorithm were equivalent to the specialists' diagnoses (absolute accuracy difference 1·2% [95% CI -6·9 to 9·2]) and significantly superior to the novices' ones (21·5% [13·1 to 30·0]). The diagnoses of the ISIC AI algorithm were significantly inferior to the specialists' diagnoses (-11·6% [-20·3 to -3·0]) but significantly superior to the novices' ones (8·7% [-0·5 to 18·0]). The best 7-class management AI was significantly inferior to specialists' management (absolute accuracy difference in correct management decision -0·5% [95% CI -0·7 to -0·2] in scenario A and -0·4% [-0·8 to -0·05] in scenario B). Compared with the novices' management, the 7-class management AI was significantly inferior (-0·4% [-0·6 to -0·2]) in scenario A but significantly superior (0·4% [0·0 to 0·9]) in scenario B. INTERPRETATION: The mobile phone-powered AI technology is simple, practical, and accurate for the diagnosis of suspicious pigmented skin cancer in patients presenting to a specialist setting, although its usage for management decisions requires more careful execution. An AI algorithm that was superior in experimental studies was significantly inferior to specialists in a real-world scenario, suggesting that caution is needed when extrapolating results of experimental studies to clinical practice. FUNDING: MetaOptima Technology.

Dermoscopic features and screening strategies for the detection of small-diameter melanomas.

BACKGROUND: Around 70% of cutaneous malignant melanomas (MMs) develop de novo, and small-diameter or 'tiny' lesions are expected to represent the earliest manifestation of most MMs. AIM: To describe the clinical, histopathological and dermoscopic features of tiny MMs, and to investigate the impact of imaging tools, including total body photography (TBP) and sequential digital dermoscopy imaging (SDDI) in their detection. METHODS: Consecutive MMs diagnosed over 2 years in a referral centre were retrospectively included. Tiny MMs were defined as MMs with a diameter of ≤ 5 mm on dermoscopy. Dermoscopic features and the performance of four imaging methods were evaluated. RESULTS: Of the 312 MMs included, 86 (27.6%) measured ≤ 5 mm, and 44.2% of these were invasive. Tiny MMs were more frequently excised for being new and/or changing compared with nontiny MMs (77.9% vs. 50.9%; P < 0.001). Half of the tiny MMs would have been missed by the dermoscopic seven-point checklist (48.2%) or the three-point checklist (49.4%), while Menzies' method and the revised pattern analysis correctly identified respectively 65.9% and 63.5% of the tiny MMs. The most frequent positive features for tiny MMs were asymmetry in structure or colour (77.6%), brown dots (65.9%), irregular dots and globules (76.5%) and atypical pigment network (44.7%). Dermoscopic features predictive of invasion in tiny MMs were atypical vascular pattern (OR = 26.5, 95% CI 1.5-475.5, P < 0.01), shiny white lines (OR = 12.4, 95% CI 0.7-237.8, P = 0.04) and grey/blue structures (OR = 3.7, 95% CI 1.3-10.5, P = 0.01). CONCLUSION: Tiny MMs are frequently invasive and represent a clinical, dermoscopic and histopathological challenge. Dermoscopy alone has suboptimal diagnostic accuracy. Early diagnosis relies on the detection of new or changing lesions aided by TBP and SDDI.

Ultrasonographic features of cutaneous myxomas in a patient with Carney complex

Abstract Carney complex is a rare genodermatosis characterized by cardiac and cutaneous myxomas, among other tumors. In the majority of cases, cutaneous myxomas precede the diagnosis of cardiac myxomas, which are the main cause of death in these patients. Despite the fact that the diagnosis of cutaneous myxomas is histopathological, high-frequency ultrasonography plays an essential role in the differential diagnosis with other cutaneous and subcutaneous tumors. The authors of the present study describe, for the first time in the literature, the ultrasonographic features of both variants of cutaneous myxomas, superficial and subcutaneous, in a patient with a Carney complex.

Ultrasonographic features of cutaneous myxomas in a patient with Carney complex.

Carney complex is a rare genodermatosis characterized by cardiac and cutaneous myxomas, among other tumors. In the majority of cases, cutaneous myxomas precede the diagnosis of cardiac myxomas, which are the main cause of death in these patients. Despite the fact that the diagnosis of cutaneous myxomas is histopathological, high-frequency ultrasonography plays an essential role in the differential diagnosis with other cutaneous and subcutaneous tumors. The authors of the present study describe, for the first time in the literature, the ultrasonographic features of both variants of cutaneous myxomas, superficial and subcutaneous, in a patient with a Carney complex.

Acropaquias: del signo a la enfermedad / Acropachy: From sign to disease

RESUMEN Las acropaquias, también llamadas dedos en palillo de tambor, se presentan como un aumento de la convexidad ungueal sobre una falange distal engrosada. Su origen es multifactorial, siendo la causa más frecuente las neoplasias, aunque también puede ser idiopático. Pueden encontrarse de forma aislada o formando parte de la osteoartropatía hipertrófica. La importancia de su diagnóstico radica en la alta frecuencia de enfermedad maligna subyacente, por lo que debe ser rápido y exhaustivo. Presentamos 2 casos de pacientes con acropaquias asociados a neoplasia subyacente.

ABSTRACT Acropachy, also called clubbed fingers, presents as increased nail convexity over a thickened distal phalanx. Its origin is multifactorial, with the most frequent cause being neoplasms, although it can also be idiopathic. They can be found in isolation, or as part of hypertrophic osteoarthropathy. The importance of its diagnosis lies in the high frequency of underlying malignant pathology, so it must be rapid and comprehensive. Two cases are presented of patients with acropachy associated with underlying neoplasia.