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Age and Lymphovascular Invasion Accurately Predict Sentinel Lymph Node Metastasis in T2 Melanoma Patients.
Egger, Michael E; Stevenson, Megan; Bhutiani, Neal; Jordan, Adrienne C; Scoggins, Charles R; Philips, Prejesh; Martin, Robert C G; McMasters, Kelly M.
Afiliação
  • Egger ME; The Hiram C. Polk Jr, MD Department of Surgery, University of Louisville School of Medicine, Louisville, KY, USA. michael.egger@louisville.edu.
  • Stevenson M; The Hiram C. Polk Jr, MD Department of Surgery, University of Louisville School of Medicine, Louisville, KY, USA.
  • Bhutiani N; The Hiram C. Polk Jr, MD Department of Surgery, University of Louisville School of Medicine, Louisville, KY, USA.
  • Jordan AC; Department of Pathology and Laboratory Medicine, University of Louisville School of Medicine, Louisville, KY, USA.
  • Scoggins CR; The Hiram C. Polk Jr, MD Department of Surgery, University of Louisville School of Medicine, Louisville, KY, USA.
  • Philips P; The Hiram C. Polk Jr, MD Department of Surgery, University of Louisville School of Medicine, Louisville, KY, USA.
  • Martin RCG; The Hiram C. Polk Jr, MD Department of Surgery, University of Louisville School of Medicine, Louisville, KY, USA.
  • McMasters KM; The Hiram C. Polk Jr, MD Department of Surgery, University of Louisville School of Medicine, Louisville, KY, USA.
Ann Surg Oncol ; 26(12): 3955-3961, 2019 Nov.
Article em En | MEDLINE | ID: mdl-31392528
ABSTRACT

BACKGROUND:

The risk of sentinel lymph node (SLN) metastasis in melanoma is related directly to tumor thickness and inversely to age. The authors hypothesized that for T2 (thickness 1.1-2.0 mm) melanoma, age, and other factors may be able to identify a cohort of patients with a low risk of SLN metastases.

METHODS:

The authors developed logistic regression models to predict positive SLNs in patients undergoing SLN biopsy for T2 melanoma using the National Cancer Database. Classification and regression-tree analysis were used to identify groups of patients with high and low risk for SLN metastases. The prediction model then was applied to a separate data set from a multicenter randomized clinical trial.

RESULTS:

The study identified 12,918 patients with T2 melanoma undergoing SLN biopsy with clinically node-negative melanoma. In the multivariable analysis, increasing thickness, younger age, lymphovascular invasion (LVI), mitotic rate of 1/mm2 or more, axial location, and Clark level of 4 or 5 were independent risk factors for SLN metastases. A cohort based on age (> 56 years) and no LVI was identified with a relatively low risk (7.8%; 95% confidence interval 7.2-8.4%) of SLN metastases. The independent data set of 1531 patients with T2 melanoma confirmed these findings. Among elderly patients (age > 75 years) with melanoma 1.2 mm or smaller and no LVI, the risk of a positive SLN was 4.9% (95% confidence interval 3.3-7.1%).

CONCLUSIONS:

Younger age and LVI are powerful predictors of SLN metastases for patients with T2 melanoma. This prediction model can inform shared decision-making regarding whether to perform SLN biopsy for older patients with otherwise low-risk T2 melanoma.
Assuntos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Neoplasias Cutâneas / Biópsia de Linfonodo Sentinela / Linfonodo Sentinela / Melanoma Tipo de estudo: Clinical_trials / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Ann Surg Oncol Assunto da revista: NEOPLASIAS Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Neoplasias Cutâneas / Biópsia de Linfonodo Sentinela / Linfonodo Sentinela / Melanoma Tipo de estudo: Clinical_trials / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Ann Surg Oncol Assunto da revista: NEOPLASIAS Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos