Robust optimization of catheter positions and dwell times for HDR prostate brachytherapy
- Journal
- Medical physics (Q1)
- Published
- 1 September 2026
- Study design
- Cohort / observational study
- Evidence level
- Level 3, Low (CEBM 3b)
- Authors
- Joseph B Schulz, Bryan P Bednarz, John M Floberg, Jordan M Slagowski
- PMID
- 42613864
- DOI
- 10.1002/mp.70640
Why clinicians should know about it
- Picked for Medical Physics (top studies of the week, 23 August 2026): Joint catheter and dwell time robust optimization for HDR prostate
Abstract
BACKGROUND: HDR prostate brachytherapy plans are sensitive to catheter placement uncertainty, as discrepancies between planned and delivered catheter positions can degrade target coverage and increase organ at risk dose. Current inverse planning methods optimize dwell times for a fixed implant geometry and do not account for geometric uncertainty during planning. Existing robust optimization approaches for HDR brachytherapy are similarly limited to dwell time optimization, and no framework has jointly optimized catheter configurations and dwell times while explicitly incorporating catheter insertion uncertainty. PURPOSE: To develop an analytical inverse planning method for prostate HDR brachytherapy that improves robustness to catheter placement uncertainty while maintaining nominal target coverage and organ at risk constraints. METHODS: Overall, 32 previously treated prostate HDR cases were retrospectively analyzed. Dose was modeled with a TG-43U1 influence matrix. A candidate catheter set was generated by adding four translated trajectories per clinical catheter at ± 5 mm in the anterior posterior and lateral directions, with dwell positions cropped to remain within the loading structure. Dwell times and catheter selection were optimized using a dose fidelity term with a group minimax concave penalty (gMCP) to enforce catheter level sparsity, and a surface restricted dose gradient penalty (SDGP) applied to organ at risk surface voxels. Four strategies were compared: clinical planning, dose fidelity+SDGP, dose fidelity+gMCP, and dose fidelity+gMCP+SDGP. Hyperparameters remained fixed for all patients, respectively. All nominal plans were normalized to PTV V 100 % = 95 % . Robustness was evaluated using 1000 Monte Carlo trials per patient per uncertainty level with independent Gaussian catheter displacements in x , y , z and σ ∈ { 0 , 0.5 , 1.0 , 1.5 , 2.0 , 2.5 , 3.0 } mm . Endpoints included PTV V 100 % , bladder and rectum V 75 % , urethra V 125 % , and the clinical acceptability rate of the intersection of these metrics, using NRG-GU009 HDR boost criteria. RESULTS: Overall, the combined approach was comparable or an improvement to clinical positions alone. At σ = 1.5 mm , the complete approach with dose fidelity+gMCP+SDGP improved perturbed target coverage, with mean PTV V 100 % = 92.0 % ± 1.1 % versus 89.5 % ± 1.2 % for clinical planning and 89.8 % ± 0.9 % for dose fidelity+gMCP. The corresponding acceptability rate was 77.7 % for dose fidelity+gMCP+SDGP versus 50.0 % for clinical planning. CONCLUSION: Coupling gMCP based catheter selection with an organ surface dose gradient penalty improved robustness of prostate HDR brachytherapy plans to independent catheter placement uncertainty, with comparable nominal plan quality after normalization.
Abstract as published, via PubMed.
For healthcare professionals. The summary is generated by AI from the published abstract, and the evidence level is assigned automatically from the study design on the Oxford CEBM hierarchy. Neither is medical advice. Read the full paper before changing practice.