Evaluating the impact of real-time multicriteria optimizers integrated with interactive plan navigation tools for HDR brachytherapy

Bélanger, Cédric; Poulin, Éric C.; Cui, Songye; Vigneault, Éric; Martin, André-Guy; Foster, William; Després, Philippe; Cunha, J. Adam M.; Beaulieu, Luc

doi:10.1016/j.brachy.2020.06.016

Cited by 12 publications

(16 citation statements)

References 25 publications

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“…gMCO-GUI (Figure S1 in Supplementary Material) was implemented to allow the planner to explore patient-specific trade-offs in real-time by interactive navigation through gMCO-generated set of Pareto-optimal plans [ 18 ]. Hence, gMCO-GUI displays the dosimetric indices, 3D dose distribution, and DVH curves in real-time during plan navigation [ 18 ]. In gMCO-GUI, plan navigation is done by using interactive navigation and constraint sliders [ 18 ].…”

Section: Methodsmentioning

confidence: 99%

“…Hence, gMCO-GUI displays the dosimetric indices, 3D dose distribution, and DVH curves in real-time during plan navigation [ 18 ]. In gMCO-GUI, plan navigation is done by using interactive navigation and constraint sliders [ 18 ].…”

Section: Methodsmentioning

confidence: 99%

“…The physicists used gMCO-GUI plan navigation tools to find the most suitable plan for each patient. For the 20 CT cases, the plan with the highest target coverage while meeting clinical criteria (i.e., the first planned displayed in gMCO-GUI) was selected in gMCO plans bank [ 18 ]. The chosen plans were exported as DICOM-RTPLAN format by saving optimized dwell positions and dwell times.…”

Section: Methodsmentioning

confidence: 99%

“…In our previous study, the impact of combining our graphics processing unit (GPU)-based multi-criteria optimization (gMCO) algorithm [ 13 ], with an interactive graphical user interface (gMCO-GUI) for HDR brachytherapy [ 18 ], was evaluated. With gMCO, it is expected that the planning tasks will be shifted from iterative plan tuning to patient-specific plan navigation and selection.…”

Section: Purposementioning

confidence: 99%

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Commissioning of GPU-based multi-criteria optimizer combined with plan navigation tools for high-dose-rate brachytherapy

Bélanger¹,

Aubin²,

Beaulieu³

et al. 2022

jcb

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Purpose Recently, our GPU-based multi-criteria optimization (gMCO) algorithm has been integrated in a graphical user interface (gMCO-GUI) that allows real-time plan navigation through a gMCO-generated set of Pareto-optimal plans for high-dose-rate (HDR) brachytherapy. This work reports on the commissioning of the gMCO algorithm into clinical workflow. Material and methods Our MCO workflow was validated against Oncentra Prostate v. 4.2.2 (OcP) and Oncentra Brachy v. 4.6.0 (OcB). 40 HDR prostate brachytherapy patients (20 with OcP and 20 with OcB) were retrospectively re-planned with gMCO algorithm by generating 2,000 Pareto-optimal plans. A single gMCO treatment plan was exported using gMCO-GUI plan navigation tools. The optimized dwell positions and dwell times of gMCO plans were exported via DICOM RTPLAN files to OcP/OcB, where final dosimetry was calculated. TG43 implementation in gMCO was validated against the consensus data of flexisource. Five analytical shapes were used as the ground truth for volume calculations. Dose-volume histogram (DVH) curves generated by gMCO were compared with the ones generated by OcP/OcB. 3D dose distributions (and isodose lines) were validated against OcP/OcB using dice similarity coefficient (DSC), 95% undirected Hausdorff distance (95% HD), and γ analysis. Results Differences between –0.4% and 0.3% were observed between gMCO calculated dose rates and the flexisource consensus data. gMCO volumes were within ±2% agreement in 3/5 volumes (deviations within –2.9% and 0.1%). For 9 key DVH indices, the differences between gMCO and OcP/OcB were within ±1.2%. Regarding the accuracy of key isodose lines, the mean DSC was greater than 0.98, and the mean 95% HD was below 0.4 mm. The fraction of voxels with γ ≤ 1 was greater than 99% for all cases with 1%/1 mm threshold. Conclusions The GPU-based MCO workflow was successfully integrated into the clinical workflow and validated against OcP and OcB.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Purposementioning

confidence: 99%

See 2 more Smart Citations

Commissioning of GPU-based multi-criteria optimizer combined with plan navigation tools for high-dose-rate brachytherapy

Bélanger¹,

Aubin²,

Beaulieu³

et al. 2022

jcb

Self Cite

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“…Multi-criteria optimization (MCO), for example, can probe the entire search space, generating tens of thousands of plans, in a matter of seconds. 12 Upon commercial adoption, we will be able to peruse the optimization Pareto Front as easily as one scrolls through slices of a CT-notably, this is achievable simply by exploiting the continuing validity of Moore's Law via graphics processing unit (GPU)-based computation. No planning-specific AI is needed.…”

Section: J Adam M Cunha Phdmentioning

confidence: 99%

Artificial intelligence can overcome challenges in brachytherapy treatment planning

Jia

Cunha

Rong

2022

J Applied Clin Med Phys

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Catheters and dose optimization using a modified CVT algorithm and multi‐criteria optimization in prostate HDR brachytherapy

et al. 2022

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Purpose: Currently, in high-dose rate (HDR) brachytherapy planning, the catheter's positions are often selected by the planner, which involves the planner's experience. The catheters are then inserted using a template that helps to guide the catheters. For certain applications, it is of interest to choose the optimal location and number of catheters needed for dose coverage and potential decrease of the treatment's toxicity. Hence, it is of great importance to develop patient-specific algorithms for catheters and dose optimization. Methods: A modified Centroidal Voronoi tessellation (CVT) algorithm is implemented and merged with a graphics processing unit (GPU)-based multi-criteria optimization algorithm (gMCO). The CVT algorithm optimizes the catheters' positions,and the gMCO algorithm optimizes the dwell times and dwell positions. The CVT algorithm can be used simultaneously for insertion with or without a template. Some improvements to the CVT algorithm are presented such as a new way of considering the area that needs to be covered. One hundred eight previously treated prostates HDR cases using real-time ultrasound are used to evaluate the different optimization procedures. The plan robustness is evaluated using two types of errors:deviations (random) in the insertion and deviation (systematic) in the reconstruction of the catheters. Results: Using gMCO on clinically inserted catheter increases the acceptance rate by 37% for Radiation Therapy Oncology Group (RTOG) criteria. Our results show that all the patients respect RTOG criteria with 11 catheters using CVT+gMCO with a template of 5 mm. The number of catheters needed for all patients to respect RTOG criteria with the freehand technique is 10 catheters using CVT+gMCO. When deviations are introduced, using a template, the acceptance rate goes to 85% with 3 mm deviations using 11 catheters. This decrease is less significant when the number of catheters is higher, decreasing by less than 5% with a 3 mm deviation using 13 catheters or more. In conclusion, it is feasible to decrease the number of catheters needed to treat most patients. Conclusions: Some cases still need a high number of catheters to reach the plan's criteria. Using gMCO allows an increase in the plan quality, while using CVT reduces the number of catheters. A higher number of catheters equates to plans that are more robust to deviations.

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Evaluating the impact of real-time multicriteria optimizers integrated with interactive plan navigation tools for HDR brachytherapy

Cited by 12 publications

References 25 publications

Commissioning of GPU-based multi-criteria optimizer combined with plan navigation tools for high-dose-rate brachytherapy

Commissioning of GPU-based multi-criteria optimizer combined with plan navigation tools for high-dose-rate brachytherapy

Artificial intelligence can overcome challenges in brachytherapy treatment planning

Catheters and dose optimization using a modified CVT algorithm and multi‐criteria optimization in prostate HDR brachytherapy

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