Publications by authors named "Bruna Gallo"
Lentigo maligna (LM) is a growing problem worldwide and the main type of melanoma in situ in some Caucasian populations. It presents as a spectrum from atypical intraepidermal melanocytic proliferation (AIMP) to invasive lentigo maligna melanoma (LMM). Accurate diagnosis and staging are crucial for determining appropriate management strategies.
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- Cutaneous confocal microscopy (CCCM) is a technique that allows for detailed imaging of the skin at a cellular level, and this study tested a remote version (Remote-CCM) to enhance access to skin cancer diagnoses.
- In the study, 201 lesions were assessed, with Remote-CCM showing a sensitivity of 89% for detecting skin malignancies and a specificity of 64%, effectively reducing unnecessary biopsies in 90% of benign cases.
- The findings suggest that while Remote-CCM is accurate and can lower biopsy rates, it may not be suitable for potential cases of squamous cell carcinoma (SCC), indicating a need for follow-up on uncertain melanoc
Population-wide skin cancer screening is not currently recommended in most countries. Instead, most clinical guidelines incorporate risk-based recommendations for skin checks, despite limited evidence around implementation and adherence to recommendations in practice. We aimed to determine adherence to personal risk-tailored melanoma skin check schedules and explore reasons influencing adherence.
View Article and Find Full Text PDFObjective: We investigated the association between sun protection behaviours and demographic and melanoma risk characteristics of patients attending Australian melanoma specialist clinics. This may assist in targeting and tailoring melanoma prevention patient education for people at high-risk and specific population subgroups.
Methods: A cross-sectional analysis of questionnaire data collected from participants attending the dermatology clinics at two major melanoma centres in Sydney, Australia between February 2021 and September 2023.
Article Synopsis
- The study aimed to evaluate how well mobile phone-powered AI algorithms perform compared to clinicians in diagnosing and managing pigmented skin lesions in a clinical setting.
- Researchers conducted a multicentre trial in Australia and Austria, involving both specialist clinicians and novice junior doctors to assess their accuracy against two AI diagnostic tools.
- The main outcomes measured included the accuracy of diagnosis and management decisions, with the AI's performance compared to that of experts and novices based on histopathological examination and monitoring methods.
Background: Botulinum toxin type A injection remains the leading nonsurgical cosmetic procedure worldwide with a high rate of efficacy and patient satisfaction.
Objective: This study aims to demonstrate the importance of individualization of botulinum toxin doses to treat the upper face according to the age of the patients, considering the muscles particularities and the specificities of each face area.
Materials And Methods: A retrospective study with 389 female patients treated with botulinum toxin type A in the upper third of the face (forehead, glabellar, and periorbital lines).
Background: Scalp melanomas are usually thicker and show worse prognosis than other sites and other head and neck melanomas. One hypothesis to explain this aggressive behavior could be diagnosis delay attributed to hair concealment of lesions.
Methods: Primary melanomas of the scalp diagnosed over two decades at four reference centers in Australia and Italy were included.
The Earth's surface dynamics provide essential information for guiding environmental and agricultural policies. Uncovered and unprotected surfaces experience several undesirable effects, which can affect soil ecosystem functions. We developed a technique to identify global bare surface areas and their dynamics based on multitemporal remote sensing images to aid the spatiotemporal evaluation of anthropic and natural phenomena.
View Article and Find Full Text PDFGeospatial soil information is critical for agricultural policy formulation and decision making, land-use suitability analysis, sustainable soil management, environmental assessment, and other research topics that are of vital importance to agriculture and economy. Proximal and Remote sensing technologies enables us to collect, process, and analyze spectral data and to retrieve, synthesize, visualize valuable geospatial information for multidisciplinary uses. We obtained the soil class map provided in this article by processing and analyzing proximal and remote sensed data from soil samples collected in toposequences based on pedomorphogeological relashionships.
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