Nawaz, Ahmed Omer. An evaluation and feasibility study for the need of new dosimetric tools and metrics for lung cancer patients receiving radiotherapy. Retrieved from https://doi.org/doi:10.7282/t3-fpa1-bq15
DescriptionRadiation oncology has made great strides forward specifically in the treatment of lung cancer. However, these advances have themselves delivered new questions that clinicians face when attempting to treat tumors in the lungs. The first of which is how to best deliver an increasing radiation dose to a small moving target. The second is how best to estimate and predict the damage to healthy lung tissue as a consequence of these higher doses.
Clinicians and academics from around the country have tabulated data, the purpose of which is to assess the risk of radiation damage to their patients during and after treatment. The consensus among these various groups is that the risk is best assessed by two or three volumetric data points. These dose indices are believed to allow clinicians to better assess toxicity endpoints in the lungs. The literature is rich with this guidance. However, that same literature search will also reveal that there is little to no data that focuses on the changes that occur in the previously mentioned evaluation metrics during respiration. The “V’s” in the V5 and the V20 are incorrectly assumed constant and unchanging.
This retrospective analysis of 10 lung cancer patients shows that those clinically used metrics of evaluation that are treated as static numbers are in fact dynamic. It shows the degree to which these volumetric numbers vary from what is currently accepted. And it presents a more stable, mass-based alternative to volumetric metrics that may be more suited to assessing dose to healthy lung tissue during radiation therapy due to its stability throughout the patient’s breathing cycle.
These mass-based alternative metrics are derived from each patient’s own lung volume using novel techniques involving the CT Hounsfield units. Yet, through ANOVA and two sample t-tests they show statistical significance in their difference from the volume in a rate of change analysis. The mass metrics also present more stability in their rate of change via one sample t-test and also exhibit lower standard deviations in all 10 patient’s breathing cycle and therefore has the potential to replace the current metrics for assessing radiation toxicity.