An unfortunate and under-realized problem in radiation therapy today is the variation in dose-volume histogram (DVH) calculation methods between treatment planning and other software systems. Different systems use different algorithms to process 3D dose grids and contoured anatomy and, from them, produce DVH curves and statistics. Some DVH algorithms are more accurate than others, and the variation can be significant.1, 2
ProKnow DS universally supports all DICOM-compatible systems, so in order to maximize accuracy and minimize variation, we have equipped ProKnow with an advanced and proven DVH engine. We have tested it using a rigorous testing method and published performance benchmarks and datasets.1
Our independent DVH calculation engine and metric derivation system is used for all patient datasets, regardless of the originating contouring system, TPS, and dose calculation algorithm. Having all data processed with a common DVH engine is a good thing, because it drives out unnecessary variation, standardizes accuracy, and gives you more faith in your metrics and analytics.
- Nelms BE, Stambaugh C, Hunt D, Tonner B, Zhang G, and Feygelman V. “Methods, software and datasets to verify DVH calculations against analytical values: Twenty Years Late(r),” Med Phys. 2015 Aug; 42(8).
- Ebert MV, et al. “Comparison of DVH data from multiple radiotherapy treatment planning systems,” Phys Med Biol. 2010 May; 55(11).
- “DVH Revisited: Everything you (probably) already know and maybe some things you don’t (but should),” presented by Ben Nelms as part of the 2017 AAMD webinar series for National Dosimetrist’s Week.