Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

SU‐E‐T‐91: Accuracy of Dose Calculation Algorithms for Patients Undergoing Stereotactic Ablative Radiotherapy

View through CrossRef
Purpose:The purpose of this study was to investigate and quantify the variation in dose distributions in small field lung cancer radiotherapy using seven different dose calculation algorithms.Methods:The study was performed in 21 lung cancer patients who underwent Stereotactic Ablative Body Radiotherapy (SABR). Two different methods (i) Same dose coverage to the target volume (named as same dose method) (ii) Same monitor units in all algorithms (named as same monitor units) were used for studying the performance of seven different dose calculation algorithms in XiO and Eclipse treatment planning systems. The seven dose calculation algorithms include Superposition, Fast superposition, Fast Fourier Transform ( FFT) Convolution, Clarkson, Anisotropic Analytic Algorithm (AAA), Acurous XB and pencil beam (PB) algorithms. Prior to this, a phantom study was performed to assess the accuracy of these algorithms. Superposition algorithm was used as a reference algorithm in this study. The treatment plans were compared using different dosimetric parameters including conformity, heterogeneity and dose fall off index. In addition to this, the dose to critical structures like lungs, heart, oesophagus and spinal cord were also studied. Statistical analysis was performed using Prism software.Results:The mean±stdev with conformity index for Superposition, Fast superposition, Clarkson and FFT convolution algorithms were 1.29±0.13, 1.31±0.16, 2.2±0.7 and 2.17±0.59 respectively whereas for AAA, pencil beam and Acurous XB were 1.4±0.27, 1.66±0.27 and 1.35±0.24 respectively.Conclusion:Our study showed significant variations among the seven different algorithms. Superposition and AcurosXB algorithms showed similar values for most of the dosimetric parameters. Clarkson, FFT convolution and pencil beam algorithms showed large differences as compared to superposition algorithms. Based on our study, we recommend Superposition and AcurosXB algorithms as the first choice of algorithms in lung cancer radiotherapy involving small fields. However, further investigation by Monte Carlo simulation is required to confirm our results.
Title: SU‐E‐T‐91: Accuracy of Dose Calculation Algorithms for Patients Undergoing Stereotactic Ablative Radiotherapy
Description:
Purpose:The purpose of this study was to investigate and quantify the variation in dose distributions in small field lung cancer radiotherapy using seven different dose calculation algorithms.
Methods:The study was performed in 21 lung cancer patients who underwent Stereotactic Ablative Body Radiotherapy (SABR).
Two different methods (i) Same dose coverage to the target volume (named as same dose method) (ii) Same monitor units in all algorithms (named as same monitor units) were used for studying the performance of seven different dose calculation algorithms in XiO and Eclipse treatment planning systems.
The seven dose calculation algorithms include Superposition, Fast superposition, Fast Fourier Transform ( FFT) Convolution, Clarkson, Anisotropic Analytic Algorithm (AAA), Acurous XB and pencil beam (PB) algorithms.
Prior to this, a phantom study was performed to assess the accuracy of these algorithms.
Superposition algorithm was used as a reference algorithm in this study.
The treatment plans were compared using different dosimetric parameters including conformity, heterogeneity and dose fall off index.
In addition to this, the dose to critical structures like lungs, heart, oesophagus and spinal cord were also studied.
Statistical analysis was performed using Prism software.
Results:The mean±stdev with conformity index for Superposition, Fast superposition, Clarkson and FFT convolution algorithms were 1.
29±0.
13, 1.
31±0.
16, 2.
2±0.
7 and 2.
17±0.
59 respectively whereas for AAA, pencil beam and Acurous XB were 1.
4±0.
27, 1.
66±0.
27 and 1.
35±0.
24 respectively.
Conclusion:Our study showed significant variations among the seven different algorithms.
Superposition and AcurosXB algorithms showed similar values for most of the dosimetric parameters.
Clarkson, FFT convolution and pencil beam algorithms showed large differences as compared to superposition algorithms.
Based on our study, we recommend Superposition and AcurosXB algorithms as the first choice of algorithms in lung cancer radiotherapy involving small fields.
However, further investigation by Monte Carlo simulation is required to confirm our results.

Related Results

Developing the advanced dosimetry of linac beam radiotherapy
Developing the advanced dosimetry of linac beam radiotherapy
<p dir="ltr">Photon beams remains the most widely used modality for radiotherapy of cancer worldwide. Continued technological development has enabled increasingly conformal t...
Developing the advanced dosimetry of linac beam radiotherapy
Developing the advanced dosimetry of linac beam radiotherapy
<p dir="ltr">Photon beams remains the most widely used modality for radiotherapy of cancer worldwide. Continued technological development has enabled increasingly conformal t...
The Clinical Outcome of Hypofractionated Stereotactic Radiotherapy With CyberKnife Robotic Radiosurgery for Perioptic Pituitary Adenoma
The Clinical Outcome of Hypofractionated Stereotactic Radiotherapy With CyberKnife Robotic Radiosurgery for Perioptic Pituitary Adenoma
Stereotactic radiation technique including single fraction radiosurgery and conventional fractionated stereotactic radiotherapy is widely reported as an effective treatment of pitu...
Optimal Stereotactic Body Radiotherapy Dosage For Hepatocellular Carcinoma
Optimal Stereotactic Body Radiotherapy Dosage For Hepatocellular Carcinoma
Abstract Background and purpose The optimal dose and fractionation scheme of stereotactic body radiation therapy (SBRT) for hep...
Carcinoma ex Pleomorphic Adenoma: A Case Series and Literature Review
Carcinoma ex Pleomorphic Adenoma: A Case Series and Literature Review
Abstract Introduction Carcinoma ex pleomorphic adenoma (CXPA) is a rare malignant salivary gland tumor that can lead to severe complications and carries a risk of distant metastasi...
Small Cell Lung Cancer and Tarlatamab: A Meta-Analysis of Clinical Trials
Small Cell Lung Cancer and Tarlatamab: A Meta-Analysis of Clinical Trials
Abstract Introduction Tarlatamab is a Delta-like ligand 3 (DLL3) -directed bispecific T-cell engager recently approved for use in patients with advanced small cell lung cancer (SCL...

Back to Top