Similar anatomical distributions of childhood naevi and cutaneous melanoma in young adults residing in northern and southern Sweden

Karlsson, Matilda; Rodvall, Ylva; Wahlgren, Carl-Fredrik; Wiklund, Kerstin; Lindelöf, Bernt

doi:10.1016/j.ejca.2015.06.114

Cited by 8 publications

(2 citation statements)

References 37 publications

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“…However, the presence of large/atypical nevi had no effect on sun exposure behavior. We know from previous studies that the number of nevi is associated with the degree of sun exposure in childhood [43,44] and also to risk of MM [22]. Our results indicate that these associations are either not well-known or neglected in the general population.…”

Section: Never Sometimes Alwaysmentioning

confidence: 62%

Difference in Sun Exposure Habits Between Individuals with High and Low Risk of Skin Cancer

Karlsson

Hagberg

Nielsen

et al. 2021

Dermatol Pract Concept

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Background: Skin cancer incidence is rapidly increasing. The main risk factor, sun exposure, can be modified. Informational campaigns can be effective in raising skin cancer awareness and target the high-risk population. Still, sun exposure habits in people at high risk of skin cancer are not well-known. Objective: To investigate if and how sun exposure habits differ between low-risk and high-risk individuals. Methods: During the Swedish Euromelanoma campaign of 2018, questionnaires were collected containing information regarding sun exposure habits and risk factors for skin cancer. Data on 4,141 participants was used to investigate the association between risk factors and sun exposure habits. Results: A fair skin type and a previous history of skin cancer were significantly associated with enhanced sun protective behavior. Family history of skin cancer, childhood sunburns and the presence of large/atypical nevi had no effect on sun exposure habits. Going on sunny holidays were particularly unaffected by being at high risk of skin cancer. Conclusion: Individuals at high risk of developing skin cancer showed suboptimal sun exposure habits and harmful traveling behaviors. We suggest that future skin cancer campaigns inform on accurate sun protection behavior during sunny holidays and associated risk factors. Risk factors such as childhood sunburns, numerous common and large/atypical nevi, as well as family history of skin cancer seem to be less recognized by the population.

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Section: Never Sometimes Alwaysmentioning

confidence: 62%

Difference in Sun Exposure Habits Between Individuals with High and Low Risk of Skin Cancer

Karlsson

Hagberg

Nielsen

et al. 2021

Dermatol Pract Concept

View full text Add to dashboard Cite

show abstract

“…On the other hand, recent ecological and case-control studies highlighted that is the total cumulative ambient sun exposure during childhood to correlate with melanoma risk development, more than the parameter "positive history of sunburns in childhood" [33][34][35]. In line with these literature data, here in this study we found similar distribution of the infancy sunburn parameter when comparing the population of patient with dysplastic nevus syndrome/multiple atypical nevi (69%) and eMM (70%), which resulted not significant in discriminating among the two entities (Tables 2 and 3).…”

Section: Discussionmentioning

confidence: 99%

An updated algorithm integrated with patient data for the differentiation of atypical nevi from early melanomas: the idScore 2021

Tognetti

Cartocci

Bertello

et al. 2022

Dermatol Pract Concept

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Background: It is well known that multiple patient-related risk factors contribute to the development of cutaneous melanoma, including anagraphic, phenotypic and anamnestic factors. Objectives: We aimed to investigate which MM risk factors were relevant to be incorporated in a risk scoring-classifier based clinico-dermoscopic algorithm. Methods: This retrospective study was performed on a monocentric dataset of 374 atypical melanocytic skin lesions (aMSLs) sharing equivocal dermoscopic features, excised in the suspicion of malignancy. Dermoscopic standardized images of 258 atypical nevi and 116 early melanomas were collected along with objective lesional data (i.e., maximum diameter, specific body site and body area) and 7 dermoscopic data. All cases were combined with a series of 10 MM risk factors, including anagraphic (2), phenotypic (5) and anamnestic (3) ones. Results: According to the stepwise analysis logistic regression, the proposed iDScore 2021 algorithm is composed by 9 variables, including 3 patient data (age, skin phototype I/II, personal/familiar history of MM), 2 lesion characteristics (maximum diameter, location on the lower extremities (thighs/legs/ankles/back of the feet) and 4 dermoscopic features (irregular dots and globules, irregular streaks, blue gray peppering, blue white veil). The algorithm assigned to each lesion/case a progressive score from 0 to 18. The performance obtained in the ROC curve analysis reached 92% AUC in differentiating early melanomas from atypical nevi. Conclusions: An integrated checklist combining multiple anamnestic data with selected relevant dermoscopic features can be useful in the differential diagnosis and management of early melanomas and atypical nevi exhibiting equivocal features.

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Melanoma Epidemiology

Berwick¹

2017

Melanoma Development

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Similar anatomical distributions of childhood naevi and cutaneous melanoma in young adults residing in northern and southern Sweden

Cited by 8 publications

References 37 publications

Difference in Sun Exposure Habits Between Individuals with High and Low Risk of Skin Cancer

Difference in Sun Exposure Habits Between Individuals with High and Low Risk of Skin Cancer

An updated algorithm integrated with patient data for the differentiation of atypical nevi from early melanomas: the idScore 2021

Melanoma Epidemiology

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