Further to the development of three-dimensional (3D) conformal, intensity-modulated, image-guided, adaptive radiation therapy, major changes have occurred in the last three decades in the treatment planning of nonmetastatic prostate cancer. These techniques have significantly improved treatment precision, allowing for greater sparing of critical organ and delivery of escalated doses of radiation to the target volume.
The majority of commercial radiotherapy treatment planning systems requires planners to iteratively adjust the plan parameters in order to find a satisfactory plan. This iterative trial-and-error nature of radiotherapy treatment planning results in an inefficient planning process and in order to reduce such inefficiency, plans can be accepted without achieving the best attainable quality.
We propose a quality assessment method based on data envelopment analysis (DEA) to address this inefficiency. This method compares a plan of interest to a set of past delivered plans and searches for evidence of potential further improvement.
To quantitatively evaluate radiation-induced impaired oesophageal transit with oesophageal transit scintigraphy and to assess the relationships between acute oesophagitis symptoms and dysmotility.