S096 Nomogram for Predicting Locoregional Recurrence-Free Survival After Treatment of Oral Cavity Squamous Cell Carcinoma

Staging of head and neck cancers: Is it time to change the balance between the ideal and the practical?

“…The use of artificial neural networks and nomograms has been reported widely in prediction of outcomes in certain diseases such as prostate cancer [30,31], sarcoma [32], gastric carcinoma [33], and breast cancer [34]. A logistic regression-based nomogram has also been developed for quantifying the risk for local recurrence in oral cancer patients [35]. The development and validation of these new computational methods is of obvious interest to clinicians in terms of allowing quantification of risk and predicting outcomes in individual patients [35,36].…”

“…A logistic regression-based nomogram has also been developed for quantifying the risk for local recurrence in oral cancer patients [35]. The development and validation of these new computational methods is of obvious interest to clinicians in terms of allowing quantification of risk and predicting outcomes in individual patients [35,36]. However, meaningful comparisons of efficacy of treatment and outcome between groups of patients will still require ''stage grouping'' and this is likely to be based on a range of prognostic scores rather than the traditional partitions in the TNM system.…”