Evaluating the utility of “3D Slicer” as a fast and independent tool to assess intrafractional organ dose variations in gynecological brachytherapy

Siavashpour, Zahra; Aghamiri, Mahmoud Reza; Jaberi, Ramin; Dehghan-Manshadi, Hamid Reza; Sedaghat, Mahbod; Kirisits, Christian

doi:10.1016/j.brachy.2016.03.009

Cited by 13 publications

(10 citation statements)

References 29 publications

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“…TPS-based intra-fractional OARs dose variations are presented in Table 1 . The time required for calculating these dose variations was about 45 minutes for each patient [ 12 ].…”

Section: Resultsmentioning

confidence: 99%

“…Treatment plans were copied manually to the second image series. New DVH parameters were recorded for OARs, and their intra-fractional dose variations were calculated as completely explained in the published paper [ 12 ]. The time required for calculating these organs dose variations of each patient was about 45 minutes.…”

Section: Methodsmentioning

confidence: 99%

“…Treatment verification may be performed either by treatment planning systems (TPSs) or dedicated radiotherapy software (e.g., CERR or 3D Slicer) [ 10 , 11 ]. These dose delivery verifications approaches require registration of different patient image sets during brachytherapy procedure, which is tedious and time-consuming [ 12 ]. On the other hand, there is neither dose computing engine nor the ability to correct the treatment plan to adapt to the final anatomical situation, just before starting the procedure.…”

Section: Purposementioning

confidence: 99%

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Artificial neural network based gynaecological image-guided adaptive brachytherapy treatment planning correction of intra-fractional organs at risk dose variation

Jaberi¹,

Siavashpour²,

Aghamiri³

et al. 2017

jcb

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PurposeIntra-fractional organs at risk (OARs) deformations can lead to dose variation during image-guided adaptive brachytherapy (IGABT). The aim of this study was to modify the final accepted brachytherapy treatment plan to dosimetrically compensate for these intra-fractional organs-applicators position variations and, at the same time, fulfilling the dosimetric criteria.Material and methodsThirty patients with locally advanced cervical cancer, after external beam radiotherapy (EBRT) of 45-50 Gy over five to six weeks with concomitant weekly chemotherapy, and qualified for intracavitary high-dose-rate (HDR) brachytherapy with tandem-ovoid applicators were selected for this study. Second computed tomography scan was done for each patient after finishing brachytherapy treatment with applicators in situ. Artificial neural networks (ANNs) based models were used to predict intra-fractional OARs dose-volume histogram parameters variations and propose a new final plan.ResultsA model was developed to estimate the intra-fractional organs dose variations during gynaecological intracavitary brachytherapy. Also, ANNs were used to modify the final brachytherapy treatment plan to compensate dosimetrically for changes in ‘organs-applicators’, while maintaining target dose at the original level.ConclusionsThere are semi-automatic and fast responding models that can be used in the routine clinical workflow to reduce individually IGABT uncertainties. These models can be more validated by more patients’ plans to be able to serve as a clinical tool.

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“…TPS-based intra-fractional OARs dose variations are presented in Table 1 . The time required for calculating these dose variations was about 45 minutes for each patient [ 12 ].…”

Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Purposementioning

confidence: 99%

See 1 more Smart Citation

Artificial neural network based gynaecological image-guided adaptive brachytherapy treatment planning correction of intra-fractional organs at risk dose variation

Jaberi¹,

Siavashpour²,

Aghamiri³

et al. 2017

jcb

Self Cite

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“…Recently, some investigations have proposed a new strategy based on image registration to improve calculation of maximum dose to OARs. In several studies, rigid image registration (RIR) has been applied to assess dose accumulation (DA); however, the complexity of organs' deformation due to the anatomic changes and applicator insertion limits the accuracy of calculation [11,12,13]. To overcome these limitations, several deformable image registration (DIR) algorithms have been investigated [14,15,16,17,18].…”

Section: Purposementioning

confidence: 99%

Evaluation of deformable image registration algorithm for determination of accumulated dose for brachytherapy of cervical cancer patients

Mohammadi¹,

Mahdavi²,

Jaberi³

et al. 2019

jcb

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PurposeThis study was designed to assess the dose accumulation (DA) of bladder and rectum between brachytherapy fractions using hybrid-based deformable image registration (DIR) and compare it with the simple summation (SS) approach of GEC-ESTRO in cervical cancer patients.Material and methodsPatients (n = 137) with cervical cancer treated with 3D conformal radiotherapy and three fractions of high-dose-rate brachytherapy were selected. CT images were acquired to delineate organs at risk and targets according to GEC-ESTRO recommendations. In order to determine the DA for the bladder and rectum, hybrid-based DIR was done for three different fractions of brachytherapy and the results were compared with the standard GEC-ESTRO method. Also, we performed a phantom study to calculate the uncertainty of the hybrid-based DIR algorithm for contour matching and dose mapping.ResultsThe mean ± standard deviation (SD) of the Dice similarity coefficient (DICE), Jaccard, Hausdorff distance (HD) and mean distance to agreement (MDA) in the DIR process were 0.94 ±0.02, 0.89 ±0.03, 8.44 ±3.56 and 0.72 ±0.22 for bladder and 0.89 ±0.05, 0.80 ±0.07, 15.46 ±10.14 and 1.19 ±0.59 for rectum, respectively. The median (Q1, Q3; maximum) GyEQD2 differences of total D2cc between DIR-based and SS methods for the bladder and rectum were reduced by –1.53 (–0.86, –2.98; –9.17) and –1.38 (–0.80, –2.14; –7.11), respectively. The mean ± SD of DICE, Jaccard, HD, and MDA for contour matching were 0.98 ±0.008, 0.97 ±0.01, 2.00 ±0.70 and 0.20 ±0.04, respectively for large deformation. Maximum uncertainty of dose mapping was about 3.58%.ConclusionsThe hybrid-based DIR algorithm demonstrated low registration uncertainty for both contour matching and dose mapping. The DA difference between DIR-based and SS approaches was statistically significant for both bladder and rectum and hybrid-based DIR showed potential to assess DA between brachytherapy fractions.

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“…Moreover, also some open source applications have been developed for 3D reconstruction, such as 3D Slicer [1], MITK [30], DeVide [35], Invesalius 3 [25]. Among them, the most important tools are Osirix and 3D Slicer that can be used for diagnosis [14,16,22,44], surgery [7,16,32,41] and 3D reconstruction of organs for 3D printing and medical evaluation [18,31].…”

Section: D Acquisitionmentioning

confidence: 99%

3D interactive environment for the design of medical devices

Colombo

Rizzi

Regazzoni

et al. 2018

Int J Interact Des Manuf

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The effectiveness of custom-made prostheses or orthoses heavily depends on the experience and skills of the personnel involved in their production. For complex devices, such as lower limb prosthesis, a conventional manual approach affects the process at the point that the result is frequently not acceptable at the first trial. The paper presents a computer-aided environment, named socket modelling assistant 2 (i.e., SMA 2 ), to interactively design the socket of lower limb prosthesis by implementing a set of design rules extrapolated from the traditional development process. The new computer-aided environment has been implemented embracing a low-cost philosophy and using open source libraries to provide a solution affordable also by small orthopaedic laboratories. The system permits to modify and interact with the 3D model of residual limb to create the socket geometric model ready to be manufactured by means of additive manufacturing. SMA 2 embeds medical knowledge related to the device functioning, the conventional process and the way orthopaedic technicians work so that it can be much more reliable and repeatable compared to the conventional process, but still enough similar to it to be accepted by the involved personnel. In the paper, the new 3D design procedure is described in detail, from the acquisition of patient's data to preliminary and customized modelling, and new geometric tools to perform context-related operations are shown. A case study is used to clarify the way the system works and to provide an example of the outcome.

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Evaluating the utility of “3D Slicer” as a fast and independent tool to assess intrafractional organ dose variations in gynecological brachytherapy

Cited by 13 publications

References 29 publications

Artificial neural network based gynaecological image-guided adaptive brachytherapy treatment planning correction of intra-fractional organs at risk dose variation

Artificial neural network based gynaecological image-guided adaptive brachytherapy treatment planning correction of intra-fractional organs at risk dose variation

Evaluation of deformable image registration algorithm for determination of accumulated dose for brachytherapy of cervical cancer patients

3D interactive environment for the design of medical devices

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