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Factors Affecting Sentinel Node Metastasis in Thin (T1) Cutaneous Melanomas: Development and External Validation of a Predictive Nomogram

Authors :
Ilaria Mattavelli
Dorothy C. Bennett
Paolo Broganelli
Caterina Longo
Konstantinos Lasithiotakis
Alessandra Chiarugi
Roberta Mortarini
Massimo Milione
Francesca Consoli
Serena Sestini
Antonio Florita
Sara Fortunato
Giovanni Pellacani
Lorenzo Borgognoni
Paolo Nardini
Andrea Anichini
David J. Adams
Hanna Eriksson
May Chan
Ausilia Maria Manganoni
Odysseas Zoras
Pietro Quaglino
Catherine A. Harwood
Umberto Cortinovis
Andrea Leva
Corrado Del Forno
Francesco Barretta
Andrew J. Hayes
Simone Ribero
Mara Cossa
Barbara Valeri
Giancarlo Pruneri
Daniele Bergamaschi
Kara Heelan
Cristina Mangas
Roberto Patuzzo
Andrea Maurichi
Vittoria Espeli
Mario Santinami
Consuelo Barbieri
Bruna Dalmasso
Julia Newton-Bishop
Rosalba Miceli
Paola Ghiorzo
G. Gallino
Nicola Pimpinelli
Jérémie Nsengimana
Elena Morittu
Source :
J Clin Oncol
Publication Year :
2020

Abstract

PURPOSE Thin melanomas (T1; ≤ 1 mm) constitute 70% of newly diagnosed cutaneous melanomas. Regional node metastasis determined by sentinel node biopsy (SNB) is an important prognostic factor for T1 melanoma. However, current melanoma guidelines do not provide clear indications on when to perform SNB in T1 disease and stress an individualized approach to SNB that considers all clinicopathologic risk factors. We aimed to identify determinants of sentinel node (SN) status for incorporation into an externally validated nomogram to better select patients with T1 disease for SNB. PATIENTS AND METHODS The development cohort comprised 3,666 patients with T1 disease consecutively treated at the Istituto Nazionale Tumori (Milan, Italy) between 2001 and 2018; 4,227 patients with T1 disease treated at 13 other European centers over the same period formed the validation cohort. A random forest procedure was applied to the development data set to select characteristics associated with SN status for inclusion in a multiple binary logistic model from which a nomogram was elaborated. Decision curve analyses assessed the clinical utility of the nomogram. RESULTS Of patients in the development cohort, 1,635 underwent SNB; 108 patients (6.6%) were SN positive. By univariable analysis, age, growth phase, Breslow thickness, ulceration, mitotic rate, regression, and lymphovascular invasion were significantly associated with SN status. The random forest procedure selected 6 variables (not growth phase) for inclusion in the logistic model and nomogram. The nomogram proved well calibrated and had good discriminative ability in both cohorts. Decision curve analyses revealed the superior net benefit of the nomogram compared with each individual variable included in it as well as with variables suggested by current guidelines. CONCLUSION We propose the nomogram as a decision aid in all patients with T1 melanoma being considered for SNB.

Details

ISSN :
15277755 and 0732183X
Volume :
38
Issue :
14
Database :
OpenAIRE
Journal :
Journal of clinical oncology : official journal of the American Society of Clinical Oncology
Accession number :
edsair.doi.dedup.....2511bba56fc66cb0d38d1453bbc28923