| Autor: |
Deshpande, Ruchi R., DeMarco, John, Low, Daniel, Le, Anh H., Liu, Brent J. |
| Zdroj: |
Proceedings of SPIE; February 2012, Vol. 8319 Issue: 1 p83190Q-83190Q-9, 748720p |
| Abstrakt: |
Our goal in this paper is to data mine the wealth of information contained in the dose-volume objects used in external beam radiotherapy treatment planning. In addition, by performing computational pattern recognition on these mined objects, the results may help identify predictors for unsafe dose delivery. This will ultimately enhance current clinical registries by the inclusion of detailed dose-volume data employed in treatments. The most efficient way of including dose-volume information in a registry is through DICOM RT objects. With this in mind, we have built a DICOM RT specific infrastructure, capable of integrating with larger, more general clinical registries, and we will present the results of data mining these sets. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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