… Tumor heterogeneity is a confusing finding in the … This tumor heterogeneity is not
always a random and … The biologic reasons for this intratumoral heterogeneity would then …

… ’s role in tumor heterogeneity will be extensively … tumor heterogeneity and how the integrated
use of these models and technologies can improve our knowledge of tumor heterogeneity, …

… [20] demonstrated the potential for CT texture analysis in quantifying tumor heterogeneity
in gliomas and showed a correlation between tumor heterogeneity and tumor grade. …

… been proposed to estimate intra-tumor heterogeneity from whole exome sequencing (WES) …
systematically apply and compare 6 computational methods to estimate tumor heterogeneity …

… of tumor heterogeneity in three main areas: prognostication, development of targeted
therapeutics and tumor … group), only two cell lines, and application to only one type of cancer. …

… a role in characterizing tumors and predicting … heterogeneous tumors on imaging tend to
be more aggressive and to be associated with poorer outcomes and that tumor heterogeneity …

… quantification of tumor heterogeneity or tumor texture with the goal to differentiate between
… In pattern recognition applications, the rule of thumb is to use 5–10 datasets per feature per …

… In Table 1 a summary of possible pitfalls in tumor molecular heterogeneity is presented in …
that intra-tumor heterogeneity cannot be evaluated where multiple or total tumor sampling has …

… Most methods of analysis require hundreds to thousands of voxels for robust application. …
to tumor data and account for approximately half of studies measuring tumor heterogeneity (35)…

… tumor heterogeneity can be used as a tool for effective tumor diagnosis. Analyzing tumor
heterogeneity with various tumor … of tumors, using which a biological tumor classification system …