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Linear Accelerator - PubMed

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Last Updated: 22 September 2022

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Comparison of Prospectively Generated Glioma Treatment Plans Clinically Delivered on Magnetic Resonance Imaging (MRI)-Linear Accelerator (MR-Linac) Versus Conventional Linac: Predicted and Measured Skin Dose.

The aim of this research was to evaluate skin dose modelled from the treatment planning software of a magnetic resonance imaging-linear accelerator and a conventional linear accelerator, and then compare in vivo measurements of delivered skin dose from each linear accelerator. Methods: 37 consecutive glioma patients underwent medical treatment planning and approval before radiotherapy implementation was initiated using commercial treatment planning techniques: a Monte Carlo-based magnetic resonance imaging-linear accelerator or a convolution-based accelerator are used in this prospective cohort study. This is the first prospective dosimetric comparison of glioma patients treated on both magnetic resonance imaging-linear accelerator and conventional linear accelerator. Our findings indicated that skin doses were significantly higher with magnetic resonance imaging-linear accelerator technologies, but that measurements of actual skin dose from delivered treatments were consistent with in vivo results.

Source link: https://doi.org/10.1177/15330338221124695


Real-Time Regulation of Beam-Based Feedback: Implementing an FPGA Solution for a Continuous Wave Linear Accelerator.

Only the electric field that was accelerating the electron bunches was deliberately blocked in order to implicitly stabilize the accelerated electron beam. Following this, the BBF's control scheme for beams with high brilliance and low emission efficiency is expected to be upgraded, and the issue of designing a tailored control algorithm becomes extremely significant. We show that the proposed digital solution is fast enough to cover the bunch repetition rates commonly used at ELBE, such as 100 kHz, by presenting simulation and synthesis results in hardware description language VHDL.

Source link: https://doi.org/10.3390/s22166236


The Anti-Tumor Effect of Boron Neutron Capture Therapy in Glioblastoma Subcutaneous Xenograft Model Using the Proton Linear Accelerator-Based BNCT System in Korea.

Boron neutron capture therapy is a radiation therapy that selectively kills cancer cells and is being widely researched and developed around the world. Boron neutron capture therapy is a radiation therapy that selectively kills cancer cells. The tumor, blood, and skin on the U-87 MG xenograft model was determined for 4 weeks after BNCT, and the tumor volume was determined for four weeks after BNCT. This research demonstrated the anti-cancer effects of BNCT in the U-87 MG subcutaneous xenograft model. The proton linear accelerator-based BNCT system, which was developed in Korea, is expected to be a new alternative for radiation therapy for cancer therapy.

Source link: https://doi.org/10.3390/life12081264


Is Mini Beam Ready for Human Trials? Results of Randomized Study of Treating De-Novo Brain Tumors in Canines Using Linear Accelerator Generated Mini Beams.

The key problem in diagnosing malignant brain neoplasms is eradicating the tumor while minimizering treatment-related complications. Conventional radiation therapies have been shown to have significant side effects. We've developed a new medical device that produces mini beams on a linear accelerator in order to provide a new type of therapy, mini-beam radiation therapy. The aim of this research is to compare the effects of linear accelerator-based MBRT versus standard radiation therapy, as well as standard radiation therapy, in order to determine tumor formation and treatment-related changes in the normal brain according to each treatment type. In comparison, none of the dogs in the control group received remission, but the treatment-related injuries was more extensive. MBRT's findings, as well as the widespread availability of clinical linear accelerators, make this a promising research area for further research and clinical trial opportunities.

Source link: https://doi.org/10.1667/RADE-21-00093.1

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions