A novel approach to multi-criteria inverse planning for IMRT

Breedveld, S.; Storchi, P.; Keijzer, Merel; Heemink, A.W.; Heijmen, B.

doi:10.1088/0031-9155/52/20/016

Cited by 99 publications

(116 citation statements)

References 21 publications

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“…An implementation of multi-criteria objective planning should bring even better dose distribution and bring possibility to choose between trade-offs [Breedveld et al, 2007. Additionally, the multiple target optimization in PT would benefit from a shell around PT where the dose would be minimized.…”

Section: Summary and Discussionmentioning

confidence: 99%

In silico comparison of photons versus carbon ions in single fraction therapy of lung cancer

et al. 2016

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Stereotactic body image guided radiation therapy (SBRT) shows excellent results for the local control of early stage lung cancer. However, not all patients are eligible for SBRT, and advanced stage treatment is less successful and often associated with severe side effects. Scanned carbon ion therapy (PT) can deliver more conformal dose likely benefiting these patient groups.Therefore an in silico trial was conducted on early and advanced stage patients to identify potential advantages of PT. The patients were treated with SBRT at Champalimaud Center for the Unknown, Lisbon (Portugal). PT plans were simulated on 4DCTs, and rescanning was investigated for motion mitigation in 4D-dose calculations. A dedicated strategy for 4D intensity modulated particle therapy (IMPT) was developed and applied for advanced stage patients with multiple lesions. For clinically valid and reliable results the deformable image registrationnecessary for 4D-dose calculation -a quality assurance tool was developed and applied in the study.The results showed that target coverage was comparable in SBRT and PT, while PT delivered significantly lower doses to most critical structures, especially the heart, lungs, and esophagus.A highly complex case of advanced stage lung cancer could be treated in a single fraction of 24 Gy with PT, while SBRT could not deliver the full ablative dose treatment due to an excessive heart dose. The mean heart dose was reduced from 10 Gy to 0.8 Gy with PT for this specific patient.

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Section: Summary and Discussionmentioning

confidence: 99%

In silico comparison of photons versus carbon ions in single fraction therapy of lung cancer

et al. 2016

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“…One related to the beam's-eye-view concept and the other similar to the successful strategy used in [11].…”

Section: A Single-beam Approachesmentioning

confidence: 99%

“…The other single-beam strategy tested is similar to the strategy used in [11] and can be described as follows:…”

Section: A Single-beam Approachesmentioning

confidence: 99%

On the Global Optimization of the Beam Angle Optimization Problem in Intensity-Modulated Radiation Therapy

et al. 2014

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Abstract-The beam angle optimization (BAO) problem remains an important and challenging problem in intensitymodulated radiation therapy (IMRT) treatment planning. BAO consists on the selection of appropriate radiation incidence directions and may influence the quality of the IMRT plans, both to enhance organs sparing and to improve tumor coverage. This is a very difficult global optimization problem since it is a highly non-convex continuous optimization problem with many local minima. Many conventional BAO approaches are based on single-beam metrics to solve a relaxed combinatorial formulation of the BAO problem. Typically, the quality of the solutions obtained is not simply related to the final value of an objective function but rather judged by dose-volume histograms or considering a set of physical dose metrics. For that reason, and also due to the fact that the global optimum value is unknown, it is difficult to perceive, in medical physics point of view, how good a solution is or how much could it be improved. In a mathematical point of view, it is difficult to acknowledge how far a solution is from the global optimum. The objective of this paper is to present the difficulties in obtaining near global optimum solutions for the BAO problem, particularly when using single-beam approaches considering discrete subsets of all possible beam angles. The benefits of using a derivative-free approach for a continuous formulation of the BAO problem are discussed using a retrospective treated case of head-and-neck tumor at the Portuguese Institute of Oncology of Coimbra.

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“…Manually finding a suitable set of dose constraints and penalty weighting factors is a tedious and time‐consuming process. The automation of this process is often tackled with computationally expensive multicriteria optimization 3 , 4 , 5 . In clinical practice, however, an automated and fast planning process is desirable to reduce the workload of the treatment personnel and enable novel adaptive treatment strategies.…”

Section: Introductionmentioning

confidence: 99%

“…For the purpose of this paper, we identify two different classes of adaptation strategies. Algorithms of the first class 5 , 9 , 10 , 13 focus on the decision‐making problem and thus aim for an optimization of the importance factors, subject to additional objectives than the actual objective function used during inverse planning. The second class of adaptation algorithms 7 , 8 , 11 , 12 aims for a fast generation of an acceptable plan by adapting the penalties of a previous nonacceptable plan heuristically.…”

Section: Introductionmentioning

confidence: 99%

Physically constrained voxel‐based penalty adaptation for ultra‐fast IMRT planning

Wahl

Bangert

Kamerling

et al. 2016

J Applied Clin Med Phys

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Conventional treatment planning in intensity‐modulated radiation therapy (IMRT) is a trial‐and‐error process that usually involves tedious tweaking of optimization parameters. Here, we present an algorithm that automates part of this process, in particular the adaptation of voxel‐based penalties within normal tissue. Thereby, the proposed algorithm explicitly considers a priori known physical limitations of photon irradiation. The efficacy of the developed algorithm is assessed during treatment planning studies comprising 16 prostate and 5 head and neck cases. We study the eradication of hot spots in the normal tissue, effects on target coverage and target conformity, as well as selected dose volume points for organs at risk. The potential of the proposed method to generate class solutions for the two indications is investigated. Run‐times of the algorithms are reported. Physically constrained voxel‐based penalty adaptation is an adequate means to automatically detect and eradicate hot‐spots during IMRT planning while maintaining target coverage and conformity. Negative effects on organs at risk are comparably small and restricted to lower doses. Using physically constrained voxel‐based penalty adaptation, it was possible to improve the generation of class solutions for both indications. Considering the reported run‐times of less than 20 s, physically constrained voxel‐based penalty adaptation has the potential to reduce the clinical workload during planning and automated treatment plan generation in the long run, facilitating adaptive radiation treatments.PACS number(s): 87.55.de

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A novel approach to multi-criteria inverse planning for IMRT

Cited by 99 publications

References 21 publications

In silico comparison of photons versus carbon ions in single fraction therapy of lung cancer

In silico comparison of photons versus carbon ions in single fraction therapy of lung cancer

On the Global Optimization of the Beam Angle Optimization Problem in Intensity-Modulated Radiation Therapy

Physically constrained voxel‐based penalty adaptation for ultra‐fast IMRT planning

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