Repeated positioning in accurate radiotherapy based on virtual net technique and contrary reconstruction scheme

Shen, Tao; Wu, Yican; Chen, Yixue; Zhang, Jianghui

doi:10.1016/j.compmedimag.2006.05.006

Cited by 3 publications

(2 citation statements)

References 12 publications

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“…Radiotherapy is a main modality of cancer treatment, though it has limitation in treatment accuracy [22][23][24][25][26][27][28][29][30][31][32][33]. Each dose of radiotherapy is usually below 2 Gy, so as to save the normal tissue.…”

Section: Discussionmentioning

confidence: 99%

Antitumor and radiosensitization effect of 12C6+ heavy-ion irradiation mediated by radiation-inducible gene therapy

Liu

Jin

et al. 2016

NUCL SCI TECH

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Radio genetic therapy which combines gene therapy with radiotherapy has shown promising results in cancer treatment. In this study, an oncolytic adenovirusbased gene therapy system regulated by radiation was constructed to improve the cancer curative effect. This gene therapy system incorporated the radiation-inducible early growth response gene (Egr-1) promoter and the anticancer gene tumor necrosis factor-related apoptosis-inducing ligand (TRAIL). To confirm the antitumor effect of Ad-ET combined with 12 C 6þ ion irradiation, the survival and apoptosis fraction of tumor cells HT1080 and normal cells MRC-5 in combination treatment were detected by CCK-8 assay and FACS analysis. Then the expression levels of TRAIL gene and protein were tested by real-time PCR and western blotting. The results show that 12 C 6þ ion irradiation could induce cell growth inhibition and apoptosis by activating the TRAIL gene expression in tumor cells, while exhibiting no obvious toxicity to the normal lung cell line MRC-5. The results also demonstrate that use of an oncolytic adenovirusbased radiation-inducible gene therapy system together with 12 C 6þ ion irradiation could cause synergistic antitumor effect specifically in tumor cells but not in normal cells. The results indicate that the novel radio genetic therapy could potentiate radiation treatment by improving the safety and efficiency of monotherapy, and provide theoretical support for clinical application of combination treatment.

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Section: Discussionmentioning

confidence: 99%

Antitumor and radiosensitization effect of 12C6+ heavy-ion irradiation mediated by radiation-inducible gene therapy

Liu

Jin

et al. 2016

NUCL SCI TECH

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“…Several algorithms are used to realize the solution of this model. This work will support a series of our studies on dose calculation and human modeling, [11][12][13][14][15] positioning, 16,17) etc.…”

Section: Introductionmentioning

confidence: 95%

Photon Energy Spectrum Reconstruction Based on Monte Carlo and Measured Percentage Depth Dose in Accurate Radiotherapy

Gui

Zheng

Sun

et al. 2011

Progress in Nuclear Science and Technology

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In accurate radiotherapy, energy spectra of high energy x-ray greatly affect the accuracy of dose calculation. Conventional discrete method failed to realize the stable solution, and the Schiff formula could not reflect the practical geometric shape of different linac system that showed the limitation to apply to other linacs. To obtain the photon energy spectra of linac in radiotherapy effectively, by use of monoenergetic percentage depth dose (PDD) simulated by Monte Carlo and measured PDD, an improved analytical model based on improvement of the Schiff formula was investigated, and several regression algorithms including Levenberg-Marquardt, Quasi-Newton, Gradient, Conjugate-Gradient, Newton, Principal-Axis and Nminimize algorithms were used to realize this model. The results were also compared with the conventional discrete method.A representative testing sample of Mohan6 (Monte Carlo simulated sample) and two representative samples of application (AAPM-55# report at an 18 MV's AECL Therac-20 medical linac, and our measurement at a 6 MV's BJ6-B medical linac) were used to test our method. The testing sample showed its accurate and stable results of the improved analytical method that the mean error could arrived at 0.2% to the reconstructed photon energy spectra, and the mean error of the reconstructed PDD could be at 0.003% in analytical method. By comparison with the discrete method, we found that even though the mean error in reconstructed PDD of the discrete method reduced to 0.002%, the discrete one with all above algorithms showed worse and unstable solution of photon energy spectra. And in clinical application samples, the analytical method also showed the same conclusion. So the conventional discrete method in reconstruction of energy spectra could be unreliable even though its reconstruction PDD agreed well to the original one. The improved analytical method also showed that it overcame the limitation of the Schiff formula that ignored various geometric shape of entire filtering system. So the improved analytical method to unfold photon energy spectra could be expected to be applied to various practical linac systems to obtain more accurate photon energy spectra.

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Automatic Segmentation of the Body and the Spinal Canal in CT Images Based on A Priori Information

Huang

Jia²,

Cao

et al. 2011

2011 5th International Conference on Bioinformatics and Biomedical Engineering

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Repeated positioning in accurate radiotherapy based on virtual net technique and contrary reconstruction scheme

Cited by 3 publications

References 12 publications

Antitumor and radiosensitization effect of 12C6+ heavy-ion irradiation mediated by radiation-inducible gene therapy

Antitumor and radiosensitization effect of 12C6+ heavy-ion irradiation mediated by radiation-inducible gene therapy

Photon Energy Spectrum Reconstruction Based on Monte Carlo and Measured Percentage Depth Dose in Accurate Radiotherapy

Automatic Segmentation of the Body and the Spinal Canal in CT Images Based on A Priori Information

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