Tumor Thickness and Modified Clark Level in Canine Cutaneous Melanocytic Tumors.


Journal

Veterinary pathology
ISSN: 1544-2217
Titre abrégé: Vet Pathol
Pays: United States
ID NLM: 0312020

Informations de publication

Date de publication:
Mar 2019
Historique:
pubmed: 25 9 2018
medline: 8 5 2019
entrez: 25 9 2018
Statut: ppublish

Résumé

Breslow thickness and Clark level are prognostic factors for human cutaneous melanomas. Breslow thickness is measured with an ocular micrometer from the top of the granular layer of the epidermis to the deepest invasive cell across the broad base of the tumor, while Clark level is based on the anatomical level of invasion through the layers of the dermis. Because of the anatomical differences between humans and dogs, we evaluated the tumor thickness and a modified Clark level in 77 canine primary cutaneous melanocytic tumors. Tumor thickness (using both a traditional and a more convenient system) and modified Clark level were measured and associated with histological diagnosis and clinical outcome. Tumor thickness was a prognostic factor, being greater in animals with shorter overall survival and disease-free time. Cutoffs of 0.95 cm and 0.75 cm defined a higher hazard for an unfavorable outcome and to develop recurrence/metastasis, respectively. Because of an excellent agreement between the 2 methods, it was concluded that tumor thickness could be measured with a ruler when an ocular micrometer is not available. Modified Clark level was not found to be relevant for prognosis. However, we suggest that both tumor thickness and a modified Clark level can be valid additional parameters when histological diagnosis is uncertain. Further studies, including a wider sample population, would be worthwhile to confirm the prognostic significance of these 2 parameters.

Identifiants

pubmed: 30244658
doi: 10.1177/0300985818798094
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

180-188

Auteurs

Serenella Silvestri (S)

1 Department of Veterinary Medicine, University of Perugia, Perugia, Italy.

Ilaria Porcellato (I)

1 Department of Veterinary Medicine, University of Perugia, Perugia, Italy.

Luca Mechelli (L)

1 Department of Veterinary Medicine, University of Perugia, Perugia, Italy.

Laura Menchetti (L)

1 Department of Veterinary Medicine, University of Perugia, Perugia, Italy.

Sofia Rapastella (S)

1 Department of Veterinary Medicine, University of Perugia, Perugia, Italy.

Chiara Brachelente (C)

1 Department of Veterinary Medicine, University of Perugia, Perugia, Italy.

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Classifications MeSH