Virchows Archiv A

, Volume 406, Issue 2, pp 179–195 | Cite as

Survival with primary cutaneous malignant melanoma, evaluated from 2012 cases

A multivariate regression analysis
  • Knud Søndergaard
  • Geert Schou


Cox's multivariate regression model for survival data was applied to 2,012 patients with primary cutaneous melanoma in order to evaluate the relative prognostic value of numerous clinical and histological variables and to establish their prognostically most efficient combination. The material was divided into 4 groups according to the size of resection margin of the primary lesion (<2.0 cm, 2.0 cm, 2.1–4.9 cm, and ≧ 5.0 cm). Data were analysed separately in these 4 groups and equivalent results were obtained.

The risk factors were clinical stage, site of tumour, tumour thickness, level of invasion, mitotic activity, ulceration, lymphocytic reaction, predominant type of invasive tumour cell and partial regression. When accounting for these factors, histological type, nuclear pleomorphism, nucleolar size, vascular invasion, pigmentation, verrucous growth pattern, and dermal elastosis were without prognostic influence. The effect of sex and age of patient was uncertain and both variables, therefore, were retained in the model. By using Cox's method it is possible to make a qualified estimate of the survival for the individual patient.

Key words

Malignant melanoma Cutaneous Prognosis Multivariate regression analysis 


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Copyright information

© Springer-Verlag 1985

Authors and Affiliations

  • Knud Søndergaard
    • 1
  • Geert Schou
    • 2
    • 3
  1. 1.Department of Pathology, The Finsen InstituteRigshospitaletCopenhagenDenmark
  2. 2.Statistical Research UnitDanish Medical and Social Science Research CouncilsDenmark
  3. 3.Danish Cancer RegistryInstitute of Cancer Epidemiology under the Danish Cancer SocietyDenmark

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