Radiation therapy treatment plan optimization accounting for random and systematic patient setup uncertainties
Explore this paper's citation graph
Summary
Physician assessment indicates that PTP plans are generally preferred over margin-based plans, and probabilistic treatment planning shows potential for improving patient outcome due to reduced complications associated with treatment.
- Type
- article
- Published
- 2011-12-01
- Cited by
- 0
- References
- 35
- Access
- Open access
- OpenAlex
- https://openalex.org/W106456716
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:68003881
Keywords
Radiation treatment planning, Probabilistic logic, Radiation therapy, Medical physics, Computer science
References
- The role of radiotherapy in cancer treatment
- Inclusion of geometric uncertainties in treatment plan evaluation.
- The use of adaptive radiation therapy to reduce setup error: a prospective clinical study.
- Evaluation of clinical margins via simulation of patient setup errors in prostate IMRT treatment plans.
- Daily prostate targeting using implanted radiopaque markers.
- Treatment simulation approaches for the estimation of the distributions of treatment quality parameters generated by geometrical uncertainties
- Algorithms and functionality of an intensity modulated radiotherapy optimization system.
- Coverage optimized planning: probabilistic treatment planning based on dose coverage histogram criteria.
- Inclusion of organ movements in IMRT treatment planning via inverse planning based on probability distributions.
- Comparisons of treatment optimization directly incorporating random patient setup uncertainty with a margin-based approach.
- A protocol for the reduction of systematic patient setup errors with minimal portal imaging workload.
- Evaluating the influence of setup uncertainties on treatment planning for focal liver tumors.
- Evaluation of dosimetric margins in prostate IMRT treatment plans.
- Limitations of a convolution method for modeling geometric uncertainties in radiation therapy. II. The effect of a finite number of fractions.
- Incorporating organ movements in IMRT treatment planning for prostate cancer: minimizing uncertainties in the inverse planning process.
- A comparison of daily CT localization to a daily ultrasound-based system in prostate cancer.
- Robust treatment planning for intensity modulated radiotherapy of prostate cancer based on coverage probabilities.
- A computational method for estimating the dosimetric effect of intra-fraction motion on step-and-shoot IMRT and compensator plans
- IMRT optimization including random and systematic geometric errors based on the expectation of TCP and NTCP.
- Coverage-based treatment planning: optimizing the IMRT PTV to meet a CTV coverage criterion.
Cited by
No citing papers recorded for this paper.
Related papers
- What is plan quality in radiotherapy? The importance of evaluating dose metrics, complexity, and robustness of treatment plans.
- [Computerized procedures in 3-dimensional radiotherapy planning].
- Dosimetric evaluation of the capabilities of two clinical treatment planning systems for prostate cancer
- TH‐E‐BRB‐03: Potential for a Monte Carlo Based Treatment Planning System to Replace Patient Specific QA Measurements in a Large University Hospital Setting
- Centre-specific autonomous treatment plans for prostate brachytherapy using cGANs
- Comments on: Intensity modulated radiation therapy treatment plan optimization
- Coverage-based constraints for IMRT optimization