Dermoscopy of Lentiginous Melanomas and Equivocal Benign Pigmented Macules of the Scalp: A Case-Control Multicentric Study.

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.

Indications for Digital Monitoring of Patients With Multiple Nevi: Recommendations from the International Dermoscopy Society.

Introduction: In patients with multiple nevi, sequential imaging using total body skin photography (TBSP) coupled with digital dermoscopy (DD) documentation reduces unnecessary excisions and improves the early detection of melanoma. Correct patient selection is essential for optimizing the efficacy of this diagnostic approach.

Objectives: The purpose of the study was to identify, via expert consensus, the best indications for TBSP and DD follow-up.

Association Between Melanoma Detected During Routine Skin Checks and Mortality.

Importance: Early melanoma diagnosis is associated with better health outcomes, but there is insufficient evidence that screening, such as having routine skin checks, reduces mortality.

Objective: To assess melanoma-specific and all-cause mortality associated with melanomas detected through routine skin checks, incidentally or patient detected. A secondary aim was to examine patient, sociodemographic, and clinicopathologic factors associated with different modes of melanoma detection.

The Additive Value of 3D Total Body Imaging for Sequential Monitoring of Skin Lesions: A Case Series.

Background: Timely diagnosis is the cornerstone of melanoma morbidity and mortality reduction. 2D total body photography and dermoscopy are routinely used to assist with early detection of skin malignancies. Polarized 3D total body photography is a novel technique that enables fast image acquisition of almost the entire skin surface.

Reproducible Naevus Counts Using 3D Total Body Photography and Convolutional Neural Networks.

Background: The number of naevi on a person is the strongest risk factor for melanoma; however, naevus counting is highly variable due to lack of consistent methodology and lack of inter-rater agreement. Machine learning has been shown to be a valuable tool for image classification in dermatology.

Objectives: To test whether automated, reproducible naevus counts are possible through the combination of convolutional neural networks (CNN) and three-dimensional (3D) total body imaging.

Identifying the 'Active Ingredients' of an Effective Psychological Intervention to Reduce Fear of Cancer Recurrence: A Process Evaluation.

Psychological interventions targeting fear of cancer recurrence (FCR) are effective in reducing fear and distress. Process evaluations are an important, yet scarce adjunct to published intervention trials, despite their utility in guiding the interpretation of study outcomes and optimizing intervention design for broader implementation. Accordingly, this paper reports the findings of a process evaluation conducted alongside a randomized controlled trial of a psychological intervention for melanoma patients.

Efficiency of Detecting New Primary Melanoma Among Individuals Treated in a High-risk Clinic for Skin Surveillance.

Importance: A previous single-center study observed fewer excisions, lower health care costs, thinner melanomas, and better quality of life when surveillance of high-risk patients was conducted in a melanoma dermatology clinic with a structured surveillance protocol involving full-body examinations every 6 months aided by total-body photography (TBP) and sequential digital dermoscopy imaging (SDDI).

Objective: To examine longer-term sustainability and expansion of the surveillance program to numerous practices, including a primary care skin cancer clinic setting.

Design, Setting, And Participants: This prospective cohort study recruited 593 participants assessed from 2012 to 2018 as having very high risk of melanoma, with a median of 2.

Short-Term Lesion Change Detection for Melanoma Screening With Novel Siamese Neural Network.

Short-term monitoring of lesion changes has been a widely accepted clinical guideline for melanoma screening. When there is a significant change of a melanocytic lesion at three months, the lesion will be excised to exclude melanoma. However, the decision on change or no-change heavily depends on the experience and bias of individual clinicians, which is subjective.

Melanomas of the scalp: is hair coverage preventing early diagnosis?

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.

Cost-Effectiveness of a Psycho-Educational Intervention Targeting Fear of Cancer Recurrence in People Treated for Early-Stage Melanoma.

Objective: This study aimed to evaluate the cost effectiveness of a newly developed psycho-educational intervention to reduce fear of cancer recurrence (FCR) in early-stage melanoma patients.

Methods: A within-trial cost-effectiveness and cost-utility analysis was conducted from the Australian health system perspective using data from linked Medicare records. Outcomes included FCR, measured with the severity subscale of the FCR Inventory; quality-adjusted life years (QALYs) measured using the preference-based instrument, Assessment of Quality of Life-8 Dimensions (AQoL-8D) and 12-month survival.

Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study.

Background: Whether machine-learning algorithms can diagnose all pigmented skin lesions as accurately as human experts is unclear. The aim of this study was to compare the diagnostic accuracy of state-of-the-art machine-learning algorithms with human readers for all clinically relevant types of benign and malignant pigmented skin lesions.

Methods: For this open, web-based, international, diagnostic study, human readers were asked to diagnose dermatoscopic images selected randomly in 30-image batches from a test set of 1511 images.

Estimated risk of progression of lentigo maligna to lentigo maligna melanoma.

Little is known about the risk of progression of lentigo maligna to lentigo maligna melanoma. We determine the annual risk of progression of lentigo maligna to lentigo maligna melanoma by analysing a prospective population-based survey of recently diagnosed anterior (visible in a mirror) head and neck lentigo malignas and lentigo maligna melanomas. Six hundred eighty-two consecutive patients aged 18-80 years with non-recurrent lentigo maligna or lentigo maligna melanoma, diagnosed between 1 July 2015 and 20 April 2016, were identified from pathology notifications to the New South Wales Cancer Registry (Australia) and sent survey questionnaires soon after diagnosis (median 4.

Methods of melanoma detection and of skin monitoring for individuals at high risk of melanoma: new Australian clinical practice.

Introduction: The evidence-based national clinical practice guidelines for the management of cutaneous melanoma published in 2008 are currently being updated. This article summarises the findings from multiple chapters of the guidelines on different methods of melanoma detection and of monitoring the skin for patients at high risk of melanoma. Early detection of melanoma is critical, as thinner tumours are associated with enhanced survival; therefore, strategies to improve early detection are important to reduce melanoma-related mortality.

Expert-Level Diagnosis of Nonpigmented Skin Cancer by Combined Convolutional Neural Networks.

Importance: Convolutional neural networks (CNNs) achieve expert-level accuracy in the diagnosis of pigmented melanocytic lesions. However, the most common types of skin cancer are nonpigmented and nonmelanocytic, and are more difficult to diagnose.

Objective: To compare the accuracy of a CNN-based classifier with that of physicians with different levels of experience.

The steadily growing problem of lentigo maligna and lentigo maligna melanoma in Australia: Population-based data on diagnosis and management.

Background/objectives: There are limited population-based data documenting the incidence and management of lentigo maligna (LM) and invasive lentigo maligna melanoma (LMM). We report the data on occurrence and management of LM and LMM in an Australian population.

Methods: Prospective collection of incidence and clinician-reported management of melanoma in situ (MIS; n = 450, capped) and localised invasive melanoma (n = 3251) notified to the New South Wales Cancer Registry over 12-months in 2006-2007.

'Mind your Moles' study: protocol of a prospective cohort study of melanocytic naevi.

Introduction: Having many melanocytic naevi or 'moles' on the skin is the strongest predictor of melanoma; thus, much can be learnt from investigating naevi in the general population. We aim to improve the understanding of the epidemiology and biology of naevi by conducting a 3-year prospective study of melanocytic naevi in adults.

Methods And Analysis: This is a population-based cohort study of melanocytic naevi in 200 adults aged 20-69 years recruited via the Australian electoral roll.

Clinical Perspective of 3D Total Body Photography for Early Detection and Screening of Melanoma.

Melanoma incidence continues to increase across many populations globally and there is significant mortality associated with advanced disease. However, if detected early, patients have a very promising prognosis. The methods that have been utilized for early detection include clinician and patient skin examinations, dermoscopy (static and sequential imaging), and total body photography via 2D imaging.

A prospective observational study of pigmented naevi changes in psoriasis patients on biologic therapy.

Background/objectives: Patients on biologic therapy are thought to be at increased risk of developing non-melanoma skin cancers and melanomas. It is unknown whether biologic therapy alters the natural history of melanocytic naevi. Therefore, a prospective observational study was conducted to determine whether psoriasis patients on biologic therapy develop changes in naevi.