A Brachytherapy Plan Evaluation Tool for Interstitial Applications

Anbumani, Surega; Nambiraj, N. Arunai; Dayalan, Sridhar; Ganesh, Kalaivany; Anchineyan, Pichandi; Bilimagga, Ramesh S

doi:10.1155/2014/376207

Cited by 4 publications

(2 citation statements)

References 18 publications

(19 reference statements)

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“…The multi-resolution scheme thus eliminates such non-trivial parameter tuning when solving HDR-BT planning. In general, our approach is quite flexible and capable of handling various types of problem difficulties and planning aims, thus allowing other kinds of treatment criteria to be considered during optimization, e.g., hot-spot restriction [34], tumor control probability (TCP) [35], or normal tissue complication probability (NTCP) [35]. Such criteria are important to be used in combination with DV indices, because it has been shown that in certain cases typical DV indices alone are not enough to describe what makes a treatment plan really good [36].…”

Section: Discussionmentioning

confidence: 99%

Fast and insightful bi-objective optimization for prostate cancer treatment planning with high-dose-rate brachytherapy

Luong

Alderliesten

Pieters

et al. 2019

Applied Soft Computing

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h i g h l i g h t s• Challenges of the brachytherapy planning problem for prostate cancer treatment.• Accuracy and efficiency issues in multi-objective prostate brachytherapy planning. • A multi-resolution scheme to accelerate the optimization of brachytherapy planning. • A multi-core CPU parallelization of our approach in brachytherapy planning. • Comparing solutions created by our approach with clinically approved treatment plans. a b s t r a c tPurpose: Prostate high-dose-rate brachytherapy (HDR-BT) planning involves determining the movement that a high-strength radiation stepping source travels through the patient's body, such that the resulting radiation dose distribution sufficiently covers tumor volumes and safely spares nearby healthy organs from radiation risks. The Multi-Objective Real-Valued Gene-pool Optimal Mixing Evolutionary Algorithm (MO-RV-GOMEA) has been shown to be able to effectively handle this inherent bi-objective nature of HDR-BT planning. However, in clinical practice there is a very restricted planning time budget (often less than 1 h) for HDR-BT planning, and a considerable amount of running time needs to be spent before MO-RV-GOMEA finds a good trade-off front of treatment plans (about 20-30 min on a single CPU core) with sufficiently accurate dose calculations, limiting the applicability of the approach in the clinic. To address this limitation, we propose an efficiency enhancement technique for MO-RV-GOMEA solving the bi-objective prostate HDR-BT planning problem. Methods: Dose-Volume (DV) indices are often used to assess the quality of HDR-BT plans. The accuracy of these indices depends on the number of dose calculation points at which radiation doses are computed. These are randomly uniformly sampled inside target volumes and organs at risk. In available HDR-BT planning optimization algorithms, the number of dose calculation points is fixed. The more points are used, the better the accuracy of the obtained results will be, but also the longer the algorithms need to be run. In this work, we introduce a so-called multi-resolution scheme that gradually increases the number of dose calculation points during the optimization run such that the running time can be substantially reduced without compromising on the accuracy of the obtained results. Results and conclusion: Experiments on a data set of 18 patient cases show that with the multiresolution scheme, MO-RV-GOMEA can achieve a sufficiently good trade-off front of treatment plans after five minutes of running time on a single CPU core (4-6 times faster than the old approach with a fixed number of dose calculation points). When the optimization with the multi-resolution scheme is run on a quad-core machine, five minutes are enough to obtain trade-off fronts that are nearly as good as those obtained by running optimization with the old approach in one hour (i.e., 12 times faster). This leaves ample time to perform the selection of the preferred treatment plan from the trade-off front for the specific patient at hand. Furthermore, compa...

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Section: Discussionmentioning

confidence: 99%

Fast and insightful bi-objective optimization for prostate cancer treatment planning with high-dose-rate brachytherapy

Luong

Alderliesten

Pieters

et al. 2019

Applied Soft Computing

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“…In this study, it was assumed that the time interval between the fractions was sufficient to allow the full repair of sub-lethal damage, therefore G was considered as 1. The values of ρ and α were assumed to be constant throughout the target volume (ρ = 10 7 cells/cc, and α = 0.35 Gy -1 ) in the present study, which was also assumed in previous studies in the literature [ 13 , 20 ]. The assumption of constant ρ throughout HR-CTV could not be expressed due to lack of MRI-based planning.…”

Section: Methodsmentioning

confidence: 99%

Dosimetric and radiobiological evaluation of treatment plan for cervical cancer high-dose-rate intracavitary brachytherapy

Kaur¹,

Garg²,

Srivastava³

et al. 2022

jcb

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Purpose:The purpose of the study was to consider and calculate dosimetric parameters during treatment planning to improve radiobiological outcomes for cervical cancer patients treated with high-dose-rate (HDR) intracavitary brachytherapy (ICBT).Material and methods: In the present study, dose volume histograms (DVH) of 30 cervical cancer patients treated with HDR brachytherapy using computer tomography (CT)-based planning were analyzed. High-risk clinical target volume (HR-CTV) was contoured as the main target volume for all the patients, with an assumption that there was no presence of gross tumor at the time of brachytherapy. Values of target coverage volumes (100%, 150%, and 200%) were obtained from DVH, which was used to calculate different quality indices (QIs), including coverage index (CI), dose homogeneity index (DHI), overdose volume index (ODI), and dose non-uniformity ratio (DNR). Values of these QIs were further used to calculate tumor control probability (TCP). Statistical correlation between all QIs with TCP was established. Also, normal tissue complication probabilities for bladder (NTCP_B) and rectum (NTCP_R) were calculated.Results: The mean values of the various calculated parameters, including CI, DHI, ODI, DNR, TCP, NTCP_B and NTCP_R were 0.92 ±0.

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Dose Distribution of High Dose-Rate and Low Dose-Rate Prostate Brachytherapy at Different Intervals—Impact of a Hydrogel Spacer and Prostate Volume

Haddad¹,

Hermani²,

Hanitzsch³

et al. 2023

Cancers

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The study aimed to compare the dose distribution in permanent low-dose-rate brachytherapy (LDR-BT) and high-dose-rate brachytherapy (HDR-BT), specifically focusing on the impact of a spacer and prostate volume. The relative dose distribution of 102 LDR-BT patients (prescription dose 145 Gy) at different intervals was compared with the dose distribution of 105 HDR-BT patients (232 HDR-BT fractions with prescription doses of 9 Gy, n = 151, or 11.5 Gy, n = 81). A hydrogel spacer (10 mL) was only injected before HDR-BT. For the analysis of dose coverage outside the prostate, a 5 mm margin was added to the prostate volume (PV+). Prostate V100 and D90 of HDR-BT and LDR-BT at different intervals were comparable. HDR-BT was characterized by a considerably more homogenous dose distribution and lower doses to the urethra. The minimum dose in 90% of PV+ was higher for larger prostates. As a consequence of the hydrogel spacer in HDR-BT patients, the intraoperative dose at the rectum was considerably lower, especially in smaller prostates. However, prostate volume dose coverage was not improved. The dosimetric results well explain clinical differences between these techniques reported in the literature review, specifically comparable tumor control, higher acute urinary toxicity rates in LDR-BT in comparison to HDR-BT, decreased rectal toxicity after spacer placement, and improved tumor control after HDR-BT in larger prostate volumes.

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A Brachytherapy Plan Evaluation Tool for Interstitial Applications

Cited by 4 publications

References 18 publications

Fast and insightful bi-objective optimization for prostate cancer treatment planning with high-dose-rate brachytherapy

Fast and insightful bi-objective optimization for prostate cancer treatment planning with high-dose-rate brachytherapy

Dosimetric and radiobiological evaluation of treatment plan for cervical cancer high-dose-rate intracavitary brachytherapy

Dose Distribution of High Dose-Rate and Low Dose-Rate Prostate Brachytherapy at Different Intervals—Impact of a Hydrogel Spacer and Prostate Volume

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