Comparison of DVH data from multiple radiotherapy treatment planning systems

Ebert, Martin A.; Haworth, Annette; Kearvell, Rachel; Hooton, B.W.; Hug, Ben; Spry, Nigel; Bydder, S.; Joseph, David

doi:10.1088/0031-9155/55/11/n04

Cited by 64 publications

(65 citation statements)

References 21 publications

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“…No specific dose constraints were applied by RADAR for the bladder. Dose-surface histograms (DSH) of the bladder wall were calculated independently using SWAN to ensure consistency across datasets submitted from different centres [20].…”

Section: Principal Components Of Bladder Dose-surface Histogrammentioning

confidence: 99%

Dosimetry, clinical factors and medication intake influencing urinary symptoms after prostate radiotherapy: An analysis of data from the RADAR prostate radiotherapy trial

Yahya

Ebert

Bulsara

et al. 2015

Radiotherapy and Oncology

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Urinary symptoms (frequency, incontinence, dysuria and haematuria) were prospectively assessed using LENT-SOMA to a median of 72 months. The endpoints assessed were prevalence (grade≥1) at the end of radiotherapy (representing acute symptoms), at 18-, 36-and 54-month follow-ups (representing late symptoms) and peak late incidence including only grade≥2. Impact of factors were assessed using multivariate logistic regression models with correction for over-optimism. Results: Baseline symptoms, non-insulin dependent diabetes mellitus, age and PC1 (correlated to the mean dose) impact symptoms at >1 timepoints. Associations at a single timepoint were found for cerebrovascular condition, ECOG status and non-steroidal anti-inflammatory drug intake. Peak incidence analysis shows the impact of baseline, bowel and cerebrovascular condition and smoking status. Conclusions:The prevalence and incidence analysis provide a complementary view for urinary symptom prediction. Sustained impacts across time points were found for several factors while some associations were not repeated at different time points suggesting poorer or transient impact.4

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Section: Principal Components Of Bladder Dose-surface Histogrammentioning

confidence: 99%

Dosimetry, clinical factors and medication intake influencing urinary symptoms after prostate radiotherapy: An analysis of data from the RADAR prostate radiotherapy trial

Yahya

Ebert

Bulsara

et al. 2015

Radiotherapy and Oncology

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“…Since more sampling required more calculation time, 4x4 sampling showed a reasonable supersampling ratio. Although the different interpolation algorithm resulted in the variation [2], our custom-made DVH generation algorithm demonstrated a good agreement with that of TPS. Most large difference was observed in minimum dose which had below 10 cGy.…”

Section: Discussionmentioning

confidence: 82%

“…However, some TPS does not serve the DVH information in DICOM file, and therefore an independent DVH generation method is necessary for analysis of data [2,13,14].…”

Section: Discussionmentioning

confidence: 99%

“…Dose-volume histograms (DVHs) are currently used in radiotherapy departments as a significant role in treatment plan evaluation and treatment approval with three-dimensional (3D) dose distributions [1,2]. Their main benefit to complex treatment plans is providing summarized data of the 3D dose distribution as a graph and statistical format for structures.…”

Section: Introductionmentioning

confidence: 99%

“…Several studies have shown to generate DVHs based on dose and structure data [2,[12][13][14]. Typically, DVH is calculated using 3D dose distributions and a shape-based interpolation model for individual structures.…”

Section: Introductionmentioning

confidence: 99%

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A simple DVH generation technique for various radiotherapy treatment planning systems for an independent information system

Min

Nam

Jeong

et al. 2015

Journal of the Korean Physical Society

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In recent years, the use of a picture archiving and communication system (PACS) for radiation therapy has become the norm in hospital environment and has suggested for collecting data and management from different treatment planning systems (TPSs) with the Digital Imaging and Communication in Medicine (DICOM) objects. However, some TPS does not provide the dosevolume histogram (DVH) exportation with text or other format. In addition, plan review systems for various TPSs often allow DVH recalculation with different algorithms. These algorithms result in the inevitable discrepancy between the values obtained with the recalculation and those obtained with TPS itself. The purpose of this study was to develop a simple method for generating reproducible DVH values obtained from the TPSs. Treatment planning information including structures and delivered dose was exported by the DICOM format from Eclipse v8.9 or Pinnacle v9.6 planning systems. The supersampling and trilinear interpolation methods were employed to calculate DVH data from 35 treatment plans. The discrepancies between DVHs extracted from each TPS and the proposed calculation method were evaluated with respect to the supersampling ratio. The volume, minimum dose, maximum dose, and mean dose were compared. The variation of DVHs from multiple TPSs was compared with MIM software v6.1 which is a commercially available treatment planning comparison tool. The overall comparisons 2 of the volume, minimum dose, maximum dose, and mean dose showed that the proposed method generated relatively smaller discrepancies compared with TPS than those by MIM software and TPS. As the structure volume decreased, the overall percent difference increased. Most large difference was observed in the small organs such as eye ball, lens, optic nerve which had below 10 cc volume. A simple and useful technique was developed to generate DVH with acceptable error from a proprietary TPS. This study provides the convenient and common framework which allows to use a single well-managed storage solution for the independent information system.

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Recommended dose voxel size and statistical uncertainty parameters for precision of Monte Carlo dose calculation in stereotactic radiotherapy

Goodall

Ebert

2020

J Applied Clin Med Phys

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Monte Carlo (MC)-based treatment planning requires a choice of dose voxel size (DVS) and statistical uncertainty (SU). These parameters effect both the precision of displayed dose distribution and time taken to complete a calculation. For efficient, accurate, and precise treatment planning in a clinical setting, optimal values should be selected. In this investigation, 30 volumetric modulated arc therapy (VMAT) stereotactic radiotherapy (SRT) treatment plans, 10 brain, 10 lung, and 10 spine were calculated in the Monaco 5.11.02 treatment planning system (TPS). Each plan was calculated with a DVS of 0.1 and 0.2 cm using SU values of 0.50%, 0.75%, 1.00%, 1.50%, and 2.00%, along with a ground truth calculation using a DVS of 0.1 cm and SU of 0.15%. The variance at each relative dose level was calculated for all SU settings to assess their relationship. The variation from the ground truth calculation for each DVS and SU combination was determined for a range of DVH metrics and plan quality indices along with the time taken to complete the calculations. Finally, the effect of defining the maximum dose using a volume of 0.035 cc was compared to 0.100 cc when considering DVS and SU settings. Changes in the DVS produced greater variations from the ground truth calculation than changes in SU across the values tested. Plan quality metrics and mean dose values showed less sensitivity to changes in SU than DVH metrics. From this study, it was concluded that while maintaining an average calculation time of <10 min, 75% of plans could be calculated with variations of <2.0% from their ground truth values when using an SU setting of 1.50% and a DVS of 0.1 cm in the case of brain or spine plans, and a 0.2 cm DVS in the case of lung plans.

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Comparison of DVH data from multiple radiotherapy treatment planning systems

Cited by 64 publications

References 21 publications

Dosimetry, clinical factors and medication intake influencing urinary symptoms after prostate radiotherapy: An analysis of data from the RADAR prostate radiotherapy trial

Dosimetry, clinical factors and medication intake influencing urinary symptoms after prostate radiotherapy: An analysis of data from the RADAR prostate radiotherapy trial

A simple DVH generation technique for various radiotherapy treatment planning systems for an independent information system

Recommended dose voxel size and statistical uncertainty parameters for precision of Monte Carlo dose calculation in stereotactic radiotherapy

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