AI Article Synopsis
- The study aims to enhance knowledge-based (KB) automatic planning for CyberKnife treatment in prostate cancer using Stereotactic Body Radiation Therapy (SBRT).
- Seventy-two clinical plans were analyzed, focusing on optimizing dose-volume goals for critical organs while training a KB model, which was validated against new patient plans.
- Results showed that KB-based plans generally improved organ-at-risk (OAR) sparing and, depending on the optimization method used, the plans provided better coverage of target volumes while still managing to limit adverse effects on surrounding tissues.
- The findings indicate that the KB optimization technique is effective for CyberKnife applications in prostate cancer treatment.
Article Abstract
Purpose: To extend the knowledge-based (KB) automatic planning approach to CyberKnife in the case of Stereotactic Body Radiation Therapy (SBRT) for prostate cancer.
Methods: Seventy-two clinical plans of patients treated according to the RTOG0938 protocol (36.25 Gy/5fr) with CyberKnife were exported from the CyberKnife system to Eclipse to train a KB-model using the Rapid Plan tool. The KB approach provided dose-volume objectives for specific OARs only and not PTV. Bladder, rectum and femoral heads were considered in the model. The KB-model was successfully trained on 51 plans and then validated on 20 new patients. A KB-based template was tuned in the Precision system for both sequential optimization (SO) and VOLO optimization algorithms. Plans of the validation group were re-optimized (KB-TP) using both algorithms without any operator intervention and compared against the original plans (TP) in terms of OARs/PTV dose-volume parameters. Paired Wilcoxon signed-rank tests were performed to assess statistically significant differences (p < 0.05).
Results: Regarding SO, automatic KB-TP plans were generally better than or equivalent to TP plans. PTVs V95% was slightly worse while OARs sparing for KB-TP was significantly improved. Regarding VOLO optimization, the PTVs coverage was significantly better for KB-TP while there was a limited worsening in the rectum. A significant improvement was observed in the bladder in the range of low-intermediate doses.
Conclusions: An extension of the KB optimization approach to the CyberKnife system has been successfully developed and validated in the case of SBRT prostate cancer.
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| http://dx.doi.org/10.1016/j.ejmp.2023.102606 | DOI Listing |
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Knowledge-based plan optimization for prostate SBRT delivered with CyberKnife according to RTOG0938 protocol.
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Article Synopsis
- The study aims to enhance knowledge-based (KB) automatic planning for CyberKnife treatment in prostate cancer using Stereotactic Body Radiation Therapy (SBRT).
- Seventy-two clinical plans were analyzed, focusing on optimizing dose-volume goals for critical organs while training a KB model, which was validated against new patient plans.
- Results showed that KB-based plans generally improved organ-at-risk (OAR) sparing and, depending on the optimization method used, the plans provided better coverage of target volumes while still managing to limit adverse effects on surrounding tissues.
- The findings indicate that the KB optimization technique is effective for CyberKnife applications in prostate cancer treatment.
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