Models for predicting melanoma outcome Book Section


Authors: Haydu, L. E.; Gimotty, P. A.; Coit, D. G.; Thompson, J. F.; Gershenwald, J. E.
Editors: Balch, C. M.; Atkins, M. B.; Garbe, C.; ershenwald, J. E.; Halpern, A. C.; Kirkwood, J. M.; McArthur, G. A.; Thompson, J. F.; Sober, A. J.
Article/Chapter Title: Models for predicting melanoma outcome
Abstract: Clinical and pathological features that impact melanoma patient survival have been studied extensively for decades at major melanoma centers around the world. With the aid of powerful statistical techniques and computational methods, remarkable progress has been made in the identification of dominant factors that are linked to the natural history of melanoma and associated clinical outcome. A wide array of clinical prediction tools have been promulgated, primarily focused on forecasting survival outcomes across the melanoma continuum, with the exception of distant metastatic (Stage IV) melanoma. Recent changes in melanoma clinical practice resulting from the availability of new targeted and immune therapies that are effective in both metastatic and adjuvant settings, as well as level I evidence demonstrating no survival benefit for completion lymph node dissection after a positive sentinel lymph node biopsy, have together changed the melanoma landscape and will no doubt impact on approaches to outcome prediction. Against this contemporary and ever-evolving backdrop, we present clinical applications, criteria, challenges, and opportunities for interpreting and building tools for predicting melanoma outcomes. © Springer Nature Switzerland AG 2020.
Book Title: Cutaneous Melanoma. 6th ed
Volume: 1-2
ISBN: 978-3-030-05068-9
Publisher: Springer  
Publication Place: Cham, Switzerland
Date Published: 2020-01-01
Start Page: 299
End Page: 314
Language: English
DOI: 10.1007/978-3-030-05070-2_5
PROVIDER: scopus
DOI/URL:
Notes: This chapter can be found under "Part II Diagnosis and Staging -- Source: Scopus
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  1. Allan C Halpern
    396 Halpern
  2. Daniel Coit
    542 Coit