On October Julia Götstedt is defending her thesis for Doctor of Medical Science at the Institute of Clinical Sciences, Sahlgrenska Academy, in the research subject of medical radiation science
The title of the thesis is: Evaluation of absorbed dose uncertainty in modulated radiotherapy plans
The thesis examines how to estimate the uncertainties in the radiation dose given to the patient and which methods can be used to improve radiation treatment.
ABSTRACT
The purpose of this work was to develop and evaluate methods to meet the challenges of quality control (QC) for modulated radiotherapy plans. It was shown that nine of 15intensity modulated radiotherapy (IMRT) plans, with deliberately introduced doseerrors larger than 5% in at least one evaluated dose volume histogram (DVH) metric,werenotdetectedwith a QCmethodwhichcombinedDelta4(ScandiDos)measurements and internationally recommended criteria for evaluation (Paper I). Thedose difference between calculation and high spatial resolution measurements, usingEBT3 film and electronic portal imaging device (EPID), for 30 static beam apertures ofvarying size and shape was used as a measure of beam aperture complexity (Paper II). The linear correlation to the beam aperture complexity was evaluated for three aperture-based complexity metrics developed in this study and five other metrics suggested inthe literature. The strongest correlation, with a Pearson’s r-value of -0.94, was foundfor the developed edge area metric (EAM). EAM was further evaluated for 18 staticbeam openings originating from control points of clinically used volumetric modulatedarc therapy (VMAT) plans and for 200 full VMAT plans planned for different treatmentsites (Paper III). The results indicated that the EAM must be interpreted differently fordifferent diagnoses.Evaluationofbeamapertureshape,modulationvariations,measurements, and delivery simulations, as methods for assessment of the dosimetricuncertainty for VMAT plans, showed that the dosimetric uncertainty could differ eventhough the plans appeared to be equal based solely on dosimetric comparisons of thedose distributions, e.g., DVH metric evaluations (Paper IV).
In conclusion, it is possible to decrease dosimetric uncertainties in modulatedradiotherapy plans to enable a higher treatment quality. The dosimetric uncertainties can be assessed by different methods but it is important to define the purpose of the method, and to validate that the method fulfils the defined purpose.