R Sonia Batra1, Larisa C Kelley. 1. Department of Dermatology, Stanford University School of Medicine, Stanford, California, USA.
Abstract
BACKGROUND: The clinical appearance of nonmelanoma skin cancer may represent only a portion of microscopic tumor invasion. OBJECTIVE: To develop a scale based on high-risk characteristics for predicting the probability of extensive subclinical spread of nonmelanoma skin cancer. METHODS: Retrospective analysis of 1095 Mohs micrographic surgical cases (MMS) yielded high-risk factors for extensive tumor spread, defined as requirement of greater-than-or-equal3 MMS layers. Predictive characteristics included: any BCC on the nose, morpheaform BCC on the cheek, neck tumors and recurrent BCC in men, location on the eyelid, temple, or ear helix, and size>10 mm. Multivariate logistic regression was applied to develop a risk index. RESULTS: Tumor characteristics were assigned point values calculated from the respective odds of extension and categorized into six risk classes with probabilities of extensive subclinical spread ranging from 10% to 56%. CONCLUSION: A risk scale simplifies and enhances prediction of extensive tumors. The associated probabilities can help to guide patient preparation and appropriate therapy.
BACKGROUND: The clinical appearance of nonmelanoma skin cancer may represent only a portion of microscopic tumor invasion. OBJECTIVE: To develop a scale based on high-risk characteristics for predicting the probability of extensive subclinical spread of nonmelanoma skin cancer. METHODS: Retrospective analysis of 1095 Mohs micrographic surgical cases (MMS) yielded high-risk factors for extensive tumor spread, defined as requirement of greater-than-or-equal3 MMS layers. Predictive characteristics included: any BCC on the nose, morpheaform BCC on the cheek, neck tumors and recurrent BCC in men, location on the eyelid, temple, or ear helix, and size>10 mm. Multivariate logistic regression was applied to develop a risk index. RESULTS:Tumor characteristics were assigned point values calculated from the respective odds of extension and categorized into six risk classes with probabilities of extensive subclinical spread ranging from 10% to 56%. CONCLUSION: A risk scale simplifies and enhances prediction of extensive tumors. The associated probabilities can help to guide patient preparation and appropriate therapy.
Authors: Jacqueline Dinnes; Jonathan J Deeks; Naomi Chuchu; Rubeta N Matin; Kai Yuen Wong; Roger Benjamin Aldridge; Alana Durack; Abha Gulati; Sue Ann Chan; Louise Johnston; Susan E Bayliss; Jo Leonardi-Bee; Yemisi Takwoingi; Clare Davenport; Colette O'Sullivan; Hamid Tehrani; Hywel C Williams Journal: Cochrane Database Syst Rev Date: 2018-12-04
Authors: Lavinia Ferrante di Ruffano; Yemisi Takwoingi; Jacqueline Dinnes; Naomi Chuchu; Susan E Bayliss; Clare Davenport; Rubeta N Matin; Kathie Godfrey; Colette O'Sullivan; Abha Gulati; Sue Ann Chan; Alana Durack; Susan O'Connell; Matthew D Gardiner; Jeffrey Bamber; Jonathan J Deeks; Hywel C Williams Journal: Cochrane Database Syst Rev Date: 2018-12-04
Authors: Naomi Chuchu; Jacqueline Dinnes; Yemisi Takwoingi; Rubeta N Matin; Susan E Bayliss; Clare Davenport; Jacqueline F Moreau; Oliver Bassett; Kathie Godfrey; Colette O'Sullivan; Fiona M Walter; Richard Motley; Jonathan J Deeks; Hywel C Williams Journal: Cochrane Database Syst Rev Date: 2018-12-04
Authors: Selma Schuartz Cernea; Gabriel Gontijo; Eugenio Raul de Almeida Pimentel; Roberto Gomes Tarlé; Glaysson Tassara; Juliana Areas de Souza Lima Beltrame Ferreira; Victor Miguel Coutinho Fernandes; Wanderley Marques Bernardo Journal: An Bras Dermatol Date: 2016 Sep-Oct Impact factor: 1.896