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Published on: February 6, 2019
Evaluation of clinical benefits achievable by using different optimization algorithms during real-time prostate
Marta Adamczyk1, Grzegorz Zwierzchowski, Julian Malicki
1Department of Medical Physics, Greater Poland Cancer Centre, 15 Garbary St., 61-866 Poznan, Poland. marta.adamczyk@wco.pl
Summary
Blind inverse optimization (BIO) and inverse optimization (IO) improved prostate cancer treatment plans compared to geometrical optimization (GO). BIO yielded the best dose parameters for the planning target volume (PTV) and rectum.
Area of Science:
- Radiation Oncology
- Medical Physics
- Cancer Treatment
Background:
- High dose rate (HDR) brachytherapy is a standard treatment for prostate cancer.
- Treatment plan quality in 3D-CBRT is influenced by the chosen optimization algorithm.
Purpose of the Study:
- To evaluate the impact of different optimization algorithms on 3D-CBRT treatment plan quality for prostate cancer.
- To compare geometrical optimization (GO), inverse optimization (IO), and blind inverse optimization (BIO).
Main Methods:
- Three treatment plans were generated for 15 prostate cancer patients using GO, IO, and BIO.
- Planning target volume (PTV) and organs at risk (OAR) parameters were kept consistent across plans.
- Dose distributions were analyzed using metrics like D90, V100, V200, Dmax for the prostate, and D10, Dmax for the urethra and rectum.
Main Results:
- Inverse optimization algorithms (IO and BIO) demonstrated superior results for prostate D90 and V100 compared to GO.
- GO resulted in lower doses to the PTV and urethra.
- IO and BIO achieved lower mean doses in the rectum compared to GO.
Conclusions:
- Blind inverse optimization (BIO) provided the most clinically favorable dose distributions for the PTV and rectum.
- Geometrical optimization (GO) reduced urethral doses but also decreased PTV coverage.
