Literature DB >> 18648880

Validation of a nomogram to predict the presence of sentinel lymph node metastases in melanoma.

Antonio Piñero1, Manuel Canteras, Eduardo Ortiz, Enrique Martínez-Barba, Pascual Parrilla.   

Abstract

BACKGROUND: Lymph node involvement is a very important prognostic factor for cutaneous melanoma. In this paper we try to validate a nomogram that was created at the Memorial Sloan-Kettering Cancer Center, New York, to predict the probability of metastases in the sentinel nodes of patients with cutaneous melanoma.
METHODS: Values of the following variables were collected in 218 patients with cutaneous melanoma and sentinel lymph node: age, thickness, level of Clark, location of the lesion, and ulceration or not, and the nomogram was applied to assess the probability of sentinel node involvement in each patient. The discrimination of the nomogram was assessed by calculating the area under the receiver operating characteristics (ROC) curve, and to assess the accuracy of the nomogram actual probabilities were plotted against the nomogram-calculated predicted probability.
RESULTS: The overall predictive accuracy of the nomogram was 0.869 (95% confidence interval 0.813-0.925). Mean predicted probability of sentinel node metastasis was highly correlated to the observed risk (r = 0.953; P < 0.012).
CONCLUSION: The nomogram is a useful diagnostic tool that provides an adequate accurate prediction of the probability of sentinel lymph node metastases in patients with cutaneous melanoma.

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Mesh:

Year:  2008        PMID: 18648880     DOI: 10.1245/s10434-008-0077-x

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


  7 in total

1.  Tetraspanin CD9 Expression Predicts Sentinel Node Status in Patients with Cutaneous Melanoma.

Authors:  Guendalina Lucarini; Elisa Molinelli; Caterina Licini; Giulio Rizzetto; Giulia Radi; Gaia Goteri; Monica Mattioli-Belmonte; Annamaria Offidani; Oriana Simonetti
Journal:  Int J Mol Sci       Date:  2022-04-26       Impact factor: 6.208

2.  Melanoma sentinel node biopsy and prediction models for relapse and overall survival.

Authors:  A Mitra; C Conway; C Walker; M Cook; B Powell; S Lobo; M Chan; M Kissin; G Layer; J Smallwood; C Ottensmeier; P Stanley; H Peach; H Chong; F Elliott; M M Iles; J Nsengimana; J H Barrett; D T Bishop; J A Newton-Bishop
Journal:  Br J Cancer       Date:  2010-09-21       Impact factor: 7.640

3.  Validation of a nomogram predicting sentinel lymph node status in melanoma in an Irish population.

Authors:  J F C Woods; J A De Marchi; A J Lowery; A D K Hill
Journal:  Ir J Med Sci       Date:  2014-07-06       Impact factor: 1.568

4.  Improved Risk Prediction Calculator for Sentinel Node Positivity in Patients With Melanoma: The Melanoma Institute Australia Nomogram.

Authors:  Serigne N Lo; Jiawen Ma; Richard A Scolyer; Lauren E Haydu; Jonathan R Stretch; Robyn P M Saw; Omgo E Nieweg; Kerwin F Shannon; Andrew J Spillane; Sydney Ch'ng; Graham J Mann; Jeffrey E Gershenwald; John F Thompson; Alexander H R Varey
Journal:  J Clin Oncol       Date:  2020-06-12       Impact factor: 44.544

5.  Multicenter validation of two nomograms to predict non-sentinel node involvement in breast cancer.

Authors:  Antonio Piñero; Manuel Canteras; Arancha Moreno; Francisco Vicente; Julia Giménez; Ana Tocino; Edelmiro Iglesias; Sergi Vidal-Sicart; Luzdivina Santamaría; Miguel Lorenzo; Manuel García; Diego Ramirez
Journal:  Clin Transl Oncol       Date:  2012-07-25       Impact factor: 3.405

Review 6.  Bioinformatic and Machine Learning Applications in Melanoma Risk Assessment and Prognosis: A Literature Review.

Authors:  Emily Z Ma; Karl M Hoegler; Albert E Zhou
Journal:  Genes (Basel)       Date:  2021-10-30       Impact factor: 4.096

7.  The neutrophil-lymphocyte ratio and locoregional melanoma: a multicentre cohort study.

Authors:  Alyss V Robinson; Claire Keeble; Michelle C I Lo; Owen Thornton; Howard Peach; Marc D S Moncrieff; Donald J Dewar; Ryckie G Wade
Journal:  Cancer Immunol Immunother       Date:  2020-01-23       Impact factor: 6.968

  7 in total

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