A fast inverse treatment planning strategy facilitating optimized catheter selection in image‐guided high‐dose‐rate interstitial gynecologic brachytherapy

Guthier, Christian V.; Damato, Antonio L.; Hesser, Juergen; Viswanathan, Akila N.; Cormack, Robert A.

doi:10.1002/mp.12590

Cited by 10 publications

(16 citation statements)

References 19 publications

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“…The treatment planning problem can either be modeled separately for the catheter placement and the dwell times, [132][133][134][135][136][137] or as one integrated formulation. 3,41,68,72,104,138 While the integrated models can have various objectives and formulations for the dose distribution, see Sections 5.1-5.7, there is a standard formulation for connecting the dwell times Medical Physics, 48 (5), May 2021 and the catheters.…”

Section: J1 Integrated Optimization Modelmentioning

confidence: 99%

“…Several studies conclude that the treatment plan quality can be as good with fewer catheters than what is typically used in clinical practice. 104,[132][133][134] In a study 143 on prostate cancer, results for different numbers of catheters are compared. No significant difference in treatment plan quality is found between 15, 18, and 21 catheters, while fewer catheters, 9 or 12, is significantly worse.…”

Section: J1 Integrated Optimization Modelmentioning

confidence: 99%

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Optimization in treatment planning of high dose‐rate brachytherapy — Review and analysis of mathematical models

2021

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Treatment planning in high dose-rate brachytherapy has traditionally been conducted with manual forward planning, but inverse planning is today increasingly used in clinical practice. There is a large variety of proposed optimization models and algorithms to model and solve the treatment planning problem. Two major parts of inverse treatment planning for which mathematical optimization can be used are the decisions about catheter placement and dwell time distributions. Both these problems as well as integrated approaches are included in this review. The proposed models include linear penalty models, dose-volume models, mean-tail dose models, quadratic penalty models, radiobiological models, and multiobjective models. The aim of this survey is twofold: (i) to give a broad overview over mathematical optimization models used for treatment planning of brachytherapy and (ii) to provide mathematical analyses and comparisons between models. New technologies for brachytherapy treatments and methods for treatment planning are also discussed. Of particular interest for future research is a thorough comparison between optimization models and algorithms on the same dataset, and clinical validation of proposed optimization approaches with respect to patient outcome.

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Section: J1 Integrated Optimization Modelmentioning

confidence: 99%

Section: J1 Integrated Optimization Modelmentioning

confidence: 99%

Optimization in treatment planning of high dose‐rate brachytherapy — Review and analysis of mathematical models

2021

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“…A complete formulation of the treatment planning problem includes both the number of catheters to use and where to place them as well as the decisions regarding the dwell times. Most studies presented in this section are on prostate cancer, with a few exceptions such as gynaecological cancer [43] and breast cancer [86]. In clinical treatment the standard way to insert catheters is by using a template.…”

Section: Catheter Placementmentioning

confidence: 99%

“…3.12. Catheter placement The treatment planning problem can either be modelled separately for the catheter placement and the dwell times [43,98,86,25], or as one integrated formulation [95,39,70,53,48]. While the composite models can have various objectives and formulations for the dose distribution, see Sections 3.5-3.9, there is a standard formulation for connecting the dwell times and the catheters.…”

Section: Catheter Placementmentioning

confidence: 99%

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Mathematical Modelling of Dose Planning in High Dose-Rate Brachytherapy

Morén

2019

Linköping Studies in Science and Technology. Licentiate Thesis

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Analytical HDR prostate brachytherapy planning with automatic catheter and isotope selection

Frank,

Ramesh,

Lyu

et al. 2023

Medical Physics

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BackgroundHigh dose rate (HDR) brachytherapy is commonly used to treat prostate cancer. Existing HDR planning systems solve the dwell time problem for predetermined catheters and a single energy source.PurposeAdditional degrees of freedom can be obtained by relaxing the catheters' pre‐designation and introducing more source types, and may have a dosimetric benefit, particularly in improving conformality to spare the urethra. This study presents a novel analytical approach to solving the corresponding HDR planning problem.MethodsThe catheter and dual‐energy source selection problem was formulated as a constrained optimization problem with a non‐convex group sparsity regularization. The optimization problem was solved using the fast‐iterative shrinkage‐thresholding algorithm (FISTA). Two isotopes were considered. The dose rates for the HDR 4140 Ytterbium (Yb‐169) source and the Elekta Iridium (Ir‐192) HDR Flexisource were modeled according to the TG‐43U1 formalism and benchmarked accordingly. Twenty‐two retrospective HDR prostate brachytherapy patients treated with Ir‐192 were considered. An Ir‐192 only (IRO), Yb‐169 only (YBO), and dual‐source (DS) plan with optimized catheter location was created for each patient with N catheters, where N is the number of catheters used in the clinically delivered plans. The DS plans jointly optimized Yb‐169 and Ir‐192 dwell times. All plans and the clinical plans were normalized to deliver a 15 Gy prescription (Rx) dose to 95% of the clinical treatment volume (CTV) and evaluated for the CTV D90%, V150%, and V200%, urethra D0.1cc and D1cc, bladder V75%, and rectum V75%. Dose‐volume histograms (DVHs) were generated for each structure.ResultsThe DS plans ubiquitously selected Ir‐192 as the only treatment source. IRO outperformed YBO in organ at risk (OARs) OAR sparing, reducing the urethra D0.1cc and D1cc by 0.98% () and 1.09% () of the Rx dose, respectively, and reducing the bladder and rectum V75% by 0.09 () and 0.13 cubic centimeters (cc) (), respectively. The YBO plans delivered a more homogenous dose to the CTV, with a smaller V150% and V200% by 3.20 () and 1.91 cc (), respectively, and a lower CTV D90% by 0.49% () of the prescription dose. The IRO plans reduce the urethral D1cc by 2.82% () of the Rx dose compared to the clinical plans, at the cost of increased bladder and rectal V75% by 0.57 () and 0.21 cc (), respectively, and increased CTV V150% by a mean of 1.46 cc () and CTV D90% by an average of 1.40% of the Rx dose (). While these differences are statistically significant, the clinical differences between the plans are minimal.ConclusionsThe proposed analytical HDR planning algorithm integrates catheter and isotope selection with dwell time optimization for varying clinical goals, including urethra sparing. The planning method can guide HDR implants and identify promising isotopes for specific HDR clinical goals, such as target conformality or OAR sparing.

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A fast inverse treatment planning strategy facilitating optimized catheter selection in image‐guided high‐dose‐rate interstitial gynecologic brachytherapy

Cited by 10 publications

References 19 publications

Optimization in treatment planning of high dose‐rate brachytherapy — Review and analysis of mathematical models

Optimization in treatment planning of high dose‐rate brachytherapy — Review and analysis of mathematical models

Mathematical Modelling of Dose Planning in High Dose-Rate Brachytherapy

Analytical HDR prostate brachytherapy planning with automatic catheter and isotope selection

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