Interindividual registration and dose mapping for voxelwise population analysis of rectal toxicity in prostate cancer radiotherapy

Dréan, Gwenola Le; Acosta, Oscar; Lafond, C.; Simon, Antoine; Crevoisier, R. de; Haigron, Pascal

doi:10.1118/1.4948501

Cited by 25 publications

(27 citation statements)

References 78 publications

(77 reference statements)

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“…In prostate radiotherapy, the correlation between dose to rectum and toxicity has been the focus of many research studies [1], [2], [3], [4], [5], [6], [7]. The rectum is one of the dose-limiting organs when planning intensity-modulated radiotherapy (IMRT) to the prostate due to the risk of radiation-induced adverse effects.…”

mentioning

confidence: 99%

“…Methods have included dose–surface histograms [1], [5], [13], [14], dose–surface maps [1], [5], [15], dose–line histograms [14], principal component-based pattern analysis [16], and voxel-based approaches for identifying rectal subregions [2], [6], [7]. These studies have been limited in their analysis by the availability of planned dose data only, based on a single anatomical snapshot in time.…”

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confidence: 99%

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Delivered dose can be a better predictor of rectal toxicity than planned dose in prostate radiotherapy

Shelley

Scaife

Romanchikova

et al. 2017

Radiotherapy and Oncology

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Background and purposeFor the first time, delivered dose to the rectum has been calculated and accumulated throughout the course of prostate radiotherapy using megavoltage computed tomography (MVCT) image guidance scans. Dosimetric parameters were linked with toxicity to test the hypothesis that delivered dose is a stronger predictor of toxicity than planned dose.Material and methodsDose–surface maps (DSMs) of the rectal wall were automatically generated from daily MVCT scans for 109 patients within the VoxTox research programme. Accumulated-DSMs, representing total delivered dose, and planned-DSMs, from planning CT data, were parametrised using Equivalent Uniform Dose (EUD) and ‘DSM dose-width’, the lateral dimension of an ellipse fitted to a discrete isodose cluster. Associations with 6 toxicity endpoints were assessed using receiver operator characteristic curve analysis.ResultsFor rectal bleeding, the area under the curve (AUC) was greater for accumulated dose than planned dose for DSM dose-widths up to 70 Gy. Accumulated 65 Gy DSM dose-width produced the strongest spatial correlation (AUC 0.664), while accumulated EUD generated the largest AUC overall (0.682). For proctitis, accumulated EUD was the only reportable predictor (AUC 0.673). Accumulated EUD was systematically lower than planned EUD.ConclusionsDosimetric parameters extracted from accumulated DSMs have demonstrated stronger correlations with rectal bleeding and proctitis, than planned DSMs.

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confidence: 99%

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confidence: 99%

Delivered dose can be a better predictor of rectal toxicity than planned dose in prostate radiotherapy

Shelley

Scaife

Romanchikova

et al. 2017

Radiotherapy and Oncology

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“…This strategy led us to limit to 10, the number of selected atlas, as by adding more their contribution is vanished in an exponential function. Highly contributive is the prostate non-rigid registration based on the Laplacian scalar field [32]. Indeed, the main feature brought by the Laplacian is the computation of a normalized structural description comparable across individuals, as opposed to classical distance maps.…”

Section: Discussionmentioning

confidence: 99%

“…To register each prostate from the best atlases to the prostate of the query image q I we applied a Laplacian-based registration method, built upon our previous work [32], but here only considering the prostate. In our implementation, instead of using the central line, we selected the centroid of the prostate for computing a scalar field .…”

Section: Non-rigid Registration (Step 5)mentioning

confidence: 99%

Multi-atlas-based segmentation of prostatic urethra from planning CT imaging to quantify dose distribution in prostate cancer radiotherapy

Acosta

Mylona

Dain

et al. 2017

Radiotherapy and Oncology

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“…As mentioned before, the toxicity studies have allowed the identification of more predictive subregions within the organs [124][125][126]. Mapping the dose to a CCS remains a central question: the map can be obtained via a parametric representation of the anatomy in a spherical coordinate system [124], or can be more precisely computed through tailored DIR [127]. However, voxel-based methods require different steps, as shown in Figure 4: (i) the mapping by DIR of a population of individuals onto an anatomical template (steps 1 and 2); (ii) the propagation of dose distributions according to the obtained DVFs (step 3); and (iii) a local statistical analysis of the dose-effect relationship (step 4) that allows anatomical subregions that are at high risk of toxicity to be identified.…”

Section: Dir For Toxicity Prediction Via Voxel-wise Population Analysismentioning

confidence: 99%

Deformable image registration for radiation therapy: principle, methods, applications and evaluation

et al. 2019

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Background: Deformable image registration (DIR) is increasingly used in the field of radiation therapy (RT) to account for anatomical deformations. The aims of this paper are to describe the main applications of DIR in RT and discuss current DIR evaluation methods. Methods: Articles on DIR published from January 2000 to October 2018 were extracted from PubMed and Science Direct. Our search was restricted to articles that report data obtained from humans, were written in English, and address DIR methods for RT. A total of 207 articles were selected from among 2506 identified in the search process. Results: At planning, DIR is used for organ delineation using atlas-based segmentation, deformationbased planning target volume definition, functional planning and magnetic resonance imaging-based dose calculation. In image-guided RT, DIR is used for contour propagation and dose calculation on per-treatment imaging. DIR is also used to determine the accumulated dose from fraction to fraction in external beam RT and brachytherapy, both for dose reporting and adaptive RT. In the case of reirradiation, DIR can be used to estimate the cumulated dose of the two irradiations. Finally, DIR can be used to predict toxicity in voxel-wise population analysis. However, the evaluation of DIR remains an open issue, especially when dealing with complex cases such as the disappearance of matter. To quantify DIR uncertainties, most evaluation methods are limited to geometry-based metrics. Software companies have now integrated DIR tools into treatment planning systems for clinical use, such as contour propagation and fraction dose accumulation. Conclusions: DIR is increasingly important in RT applications, from planning to toxicity prediction. DIR is routinely used to reduce the workload of contour propagation. However, its use for complex dosimetric applications must be carefully evaluated by combining quantitative and qualitative analyses.

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Interindividual registration and dose mapping for voxelwise population analysis of rectal toxicity in prostate cancer radiotherapy

Abstract: The proposed method allows for accurately mapping interindividual 3D dose distributions toward a single anatomical template, opening the way for further voxelwise statistical analysis.

Cited by 25 publications

References 78 publications

Delivered dose can be a better predictor of rectal toxicity than planned dose in prostate radiotherapy

Delivered dose can be a better predictor of rectal toxicity than planned dose in prostate radiotherapy

Multi-atlas-based segmentation of prostatic urethra from planning CT imaging to quantify dose distribution in prostate cancer radiotherapy

Deformable image registration for radiation therapy: principle, methods, applications and evaluation

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