Enhancing survival prognostication in patients with choroidal melanoma by integrating pathologic, clinical and genetic predictors of metastasis
by Antonio Eleuteri; Bertil Damato; Sarah E. Coupland; Azzam F.G. Taktak
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 8, No. 1, 2012

Abstract: Survival in choroidal melanoma was modelled using accelerated failure time models. We combined pathological, clinical and genetic data, using imputation techniques. Performance was assessed using n-fold cross-validation. Using data from 3653 patients, we generated two models; the first using clinical data only and the second using clinical and laboratory data. The c-index of discrimination was 0.75 for the clinical model and 0.79 for the laboratory model. Calibration showed good correlation between predicted and observed mortality (p-value: 0.699 for clinical model and 0.801 for laboratory model). We conclude that our model provides reasonably reliable prognosis relevant to individual patients.

Online publication date: Fri, 12-Dec-2014

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