NEVUS CLASSIFICATION

Classification and longitudinal follow-up of common melanocytic nevi with in vivo reflectance confocal microscopy

Coordinatore	MEDICAL RESEARCH INFRASTRUCTURE DEVELOPMENT AND HEALTH SERVICES FUND BY THE SHEBA MEDICAL CENTER    more  Organization address address: TEL HASHOMER SHEBA MEDICAL CENTER city: RAMAT GAN postcode: 52621 contact info Titolo: Ms. Nome: Eve Cognome: Keret Email: send email Telefono: +972 35303207 Fax: +972 35305944
Nazionalità Coordinatore	Israel [IL]
Totale costo	100˙000 €
EC contributo	100˙000 €
Programma	FP7-PEOPLE Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	FP7-PEOPLE-2010-RG
Funding Scheme	MC-IRG
Anno di inizio	2011
Periodo (anno-mese-giorno)	2011-12-01   -   2015-11-30

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	MEDICAL RESEARCH INFRASTRUCTURE DEVELOPMENT AND HEALTH SERVICES FUND BY THE SHEBA MEDICAL CENTER  Organization address address: TEL HASHOMER SHEBA MEDICAL CENTER city: RAMAT GAN postcode: 52621 contact info Titolo: Ms. Nome: Eve Cognome: Keret Email: send email Telefono: +972 35303207 Fax: +972 35305944	IL (RAMAT GAN)	coordinator	100˙000.00

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 Obiettivo del progetto (Objective)

'Nevi are the strongest risk markers of melanoma. Common nevi are still regarded clinically as a single entity, despite data suggesting that nevi consist of distinct subsets, and a new classification reflecting the diversity of nevi is needed. However, classifications by clinical examination or even by low-resolution imaging techniques have been limited by difficulty to correlate with histopathology, the gold standard for diagnosis, and by lack of specific pattern in a substantial percentage of nevi.

We propose to harness Reflectance Confocal Microscopy (RCM), a cutting-edge, high resolution imaging technology to more precisely classify nevi and follow their evolution over time. In addition, we will correlate RCM pattern of nevus subsets to their respective histopathologic patterns and characterize their genetic profiles. We will image with RCM common nevi from the back and legs of patients and characterize nevus subsets that show distinctive RCM patterns. We will then test the reproducible assignment of RCM images of nevi to these subsets. After one year, we will repeat RCM imaging of the same nevi and examine whether distinct RCM patterns of nevus subsets are retained over time. In addition, we will identify patients with common, banal-appearing nevi that have been scheduled for excision by physicians outside the scope of the study; we will image these nevi prior to excision and then test whether distinct RCM patterns of nevi correlate reproducibly with unique histopathologic patterns. Finally, we will draw a preliminary link between RCM nevus patterns and their genetic profiles by testing excised nevus tissue for BRAF mutation.

The resulting state-of-the-art classification of nevi could impact patient care since different nevus subsets may vary in associated melanoma risk. More precise characterization of nevi in patients will identify individuals at high melanoma risk that would be prime target for screening and intervention efforts.'