Publications by authors named "H Collgros"
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
Introduction: Although the dermoscopic features of facial lentiginous melanomas (LM), including lentigo maligna and lentigo maligna melanoma, have been extensively studied, the literature about those located on the scalp is scarce. This study aims to describe the dermoscopic features of scalp LM and assess the diagnostic accuracy of dermoscopy to discriminate them from equivocal benign pigmented macules.
Methods: Consecutive cases of scalp LM and histopathology-proven benign but clinically equivocal pigmented macules (actinic keratoses, solar lentigos, seborrhoeic keratoses, and lichen planus-like keratoses) from four referral centres were included.
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.