Image Gallery: Merkel cell carcinoma under the rainbow

Meo, Nicola di; Vernoni, S; Longone, Michela; Trevisan, Giusto

doi:10.1111/bjd.15815

Cited by 4 publications

(3 citation statements)

References 2 publications

(2 reference statements)

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“…Pyogenic granuloma, angiokeratoma, scars, melanoma, basal cell carcinoma, dermatofibroma, blue nevus and Merkel cell carcinoma were previously reported to show RP [1,4,5,[9][10][11]. To our knowledge, RP has not been described for granuloma annulare, dissecting cellulitis and subungual hematoma previously.…”

Section: Discussionmentioning

confidence: 81%

Dermoscopic rainbow pattern: A strong clue to malignancy or just a light show?

Elmas

Mayisoglu

Çelik

et al. 2020

North Clin Istanbul

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R ainbow pattern (RP) is first described by Hu et al. as a multicolored dermoscopic finding composed of multiple colors simulating a rainbow which does not have a peculiar histopathogical correlation [1, 2]. Initially, the pattern was considered as a highly specific dermoscopic clue to Kaposi' s sarcoma [3]. Recently, however, diagnostic significance of RP has been a subject of debate [4, 5]. Current literature reported RP in many different conditions, including lichen planus, melanoma, dermatofibroma, angiokeratoma, blue nevus, scars, acroangiodermatitis and ABSTRACT OBJECTIVE: Rainbow pattern is a dermoscopic finding composed of multiple colors simulating a rainbow. It is known as a characteristic feature of Kaposi's sarcoma. Here, we reported different non-Kaposi's sarcoma conditions with a rainbow pattern aiming to discuss the diagnostic significance of the finding. METHODS: In this multicenter study, dermoscopic images of the non-Kaposi's sarcoma lesions having a histopathological diagnosis were reviewed for the presence of a rainbow pattern. Dermoscopic examination was performed by a polarized handheld dermoscope with x10 magnification. RESULTS: A total of 840 lesions were reviewed and 21 (2%) non-Kaposi sarcoma lesions having dermoscopic rainbow pattern were detected. These lesions were as follows; pyogenic granuloma (n=4, 19%), hypertrophic scar (n=4, 19%), basal cell carcinoma (n=2, 10%), dermatofibroma (n=2, 10%), angiokeratoma (n=2, 10%), blue nevus (n=1, 5%), granuloma annulare (n=1, 5%), strawberry angioma (n=1, 5%), epidermal cyst (n=1, 5%), malignant melanoma (n=1, 5%), dissecting cellulitis (n=1, 5%) and subungual hematoma (n=1, 5%). The most common localization was limb (n=14, 67%) followed by face (n=3, 14%). CONCLUSION: We suggest that the rainbow pattern is a complex and quite unspecific optic phenomenon which can be seen both in vascular and non-vascular lesions. Its diagnostic significance should be considered in the context of the other structural dermoscopic finding. To the best of our knowledge, to our knowledge, this is the most comprehensive study focusing on rainbow pattern in non-Kaposi's sarcoma lesions. Here, we also reported rainbow pattern in dissecting cellulitis, granuloma annulare and subungual hematoma which has not been shown to have rainbow pattern previously.

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Section: Discussionmentioning

confidence: 81%

Dermoscopic rainbow pattern: A strong clue to malignancy or just a light show?

Elmas

Mayisoglu

Çelik

et al. 2020

North Clin Istanbul

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“…Although the rainbow pattern on dermoscopy is primarily associated with Kaposi sarcoma, it has also been reported in lesions such as pyogenic granuloma, strawberry hemangioma, malignant melanoma, angiokeratoma, basal cell carcinoma, dermatofibroma, and blue nevus [ 1 ]. However, a few MCC cases have only previously described the rainbow pattern [ 2 , 3 ]. Merkel cell carcinoma is a rare carcinoma with a poor prognosis due to its high, rapid metastasis potential.…”

Section: Teaching Pointmentioning

confidence: 99%

A Lesion Surrounded by the Rainbow: Merkel Cell Carcinoma

Kayıran,

Sahin,

Simsek

2024

Dermatology Practical &Amp; Conceptual

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“…Among skin cancer types, basal cell carcinoma ranks as the most common, followed by squamous cell carcinoma and melanoma, which stands out as the most aggressive and lethal type of skin cancer ( 5 , 6 ). Merkel cell carcinoma also stands out among aggressive tumors ( 7 ). These tumors can arise anywhere on the body but are frequently observed in regions more exposed to the sun, including the face, neck, arms, and hands.…”

Section: Introductionmentioning

confidence: 99%

Artificial intelligence for skin cancer detection and classification for clinical environment: a systematic review

Furriel,

Oliveira,

Prôa

et al. 2024

Front. Med.

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BackgroundSkin cancer is one of the most common forms worldwide, with a significant increase in incidence over the last few decades. Early and accurate detection of this type of cancer can result in better prognoses and less invasive treatments for patients. With advances in Artificial Intelligence (AI), tools have emerged that can facilitate diagnosis and classify dermatological images, complementing traditional clinical assessments and being applicable where there is a shortage of specialists. Its adoption requires analysis of efficacy, safety, and ethical considerations, as well as considering the genetic and ethnic diversity of patients.ObjectiveThe systematic review aims to examine research on the detection, classification, and assessment of skin cancer images in clinical settings.MethodsWe conducted a systematic literature search on PubMed, Scopus, Embase, and Web of Science, encompassing studies published until April 4th, 2023. Study selection, data extraction, and critical appraisal were carried out by two independent reviewers. Results were subsequently presented through a narrative synthesis.ResultsThrough the search, 760 studies were identified in four databases, from which only 18 studies were selected, focusing on developing, implementing, and validating systems to detect, diagnose, and classify skin cancer in clinical settings. This review covers descriptive analysis, data scenarios, data processing and techniques, study results and perspectives, and physician diversity, accessibility, and participation.ConclusionThe application of artificial intelligence in dermatology has the potential to revolutionize early detection of skin cancer. However, it is imperative to validate and collaborate with healthcare professionals to ensure its clinical effectiveness and safety.

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Image Gallery: Merkel cell carcinoma under the rainbow

Cited by 4 publications

References 2 publications

Dermoscopic rainbow pattern: A strong clue to malignancy or just a light show?

Dermoscopic rainbow pattern: A strong clue to malignancy or just a light show?

A Lesion Surrounded by the Rainbow: Merkel Cell Carcinoma

Artificial intelligence for skin cancer detection and classification for clinical environment: a systematic review

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