Thus, additional markers are needed for a refined and more objective glioma classification, a better prediction of prognosis and a tailored therapeutic decision-making.
The distinct differences in outcome of the various molecularly defined subsets even within morphologically similar types and grades of diffuse gliomas summarized above is now ready to be translated into a refined, more objective glioma classification with associated clinical, prognostic, and predictive implications.
This paper presents a Computer Aided Diagnostic (CAD) technique that would present more objective and accurate classification and further would offer the physician a valuable second opinion.
16– 18 With this new algorithm, SDOCT technology could potentially provide more objective and easier classification of AMD according to drusen size or area, which will help determine the disease prognosis for certain patients.
This is important not only because it leads to a more clear-cut and objective classification of disease, but also because a classification based on real differences in etiology is more likely to translate into an appropriately targeted therapeutic approach.
While improved definitions of morphological features may be helpful in this respect [ 64], a more promising approach is to integrate molecular data in order to create a more objective and reproducible glioma classification.
In combination with data mining techniques this characteristic feature can be used to raise astrocytoma grading to a more objective standard to improve classification accuracy in combination with conventional pathological tumor diagnosis and grading procedure.
Unfortunately, the interobserver reproducibility of the analyses is low (Douglas-Jones et al, 2000; Wells et al, 2000) and there is still a need for a more objective basis for the classification of DCIS.
To obtain more objective detection methods and classifications of Her2/ERBB2, positivity should be standardized for study purposes, for example, with the envisioned partially automated sample scoring system (Dobson et al, 2010).
