Malignant melanoma. Who shall live and who shall die?

Rivers, Jason K.

doi:10.1001/archderm.128.4.537

Cited by 5 publications

(2 citation statements)

References 78 publications

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“…The prognostic relevance associated with gender, anatomic site, tumour thickness, Clark’s level, histological type, ulceration, mitotic rate, and vascular invasion in primary malignant melanomas has been described many times as reviewed by Rivers and Ho [1]. These and other parameters have been used to characterize prognostic subgroups [2, 3], and have been investigated using various multivariate methods and models [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14].…”

Section: Discussionmentioning

confidence: 99%

“…Gender, anatomic site, tumour thickness, Clark’s level of invasion, histological type, ulceration, mitotic rate, and vascular invasion are among the most frequently investigated parameters [1]. A simple scoring system with 80% sensitivity based on multiple clinical and pathological features was developed 30 years ago by Cochran [2]and Mackie et al [3].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Prognostic Classification of Malignant Melanomas by Combining Clinical, Histological, and Immunohistochemical Parameters

Otto

Goldmann²,

Biess

et al. 1999

Oncology

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In a retrospective study the prognostic relevance of clinical, histopathological, immunohistochemical, and flow-cytometric parameters in primary malignant melanomas was evaluated using both the receiver operating characteristic ROC procedure and the logistic regression model. The proteolytic enzymes collagenase IV, cathepsin B, and cathepsin D proved to be significant prognostic factors. Combining the results obtained with these enzymes with gender, anatomic site, tumour thickness, Clark’s level, ulceration, pattern of invasive growth, and presence of large round cells resulted in greatly improved discrimination between metastasized and non-metastasized cases. It is anticipated that this method could allow for precise individual prognostic characterization and in particular for identification of high-risk patients for adjuvant therapy.

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