1.Dosimetric Impact of Titanium Alloy Implant in Spinal IMRT Plan.
Xiaohui CHEN ; Anjie XU ; Jiayan CHEN ; Weigang HU ; Jiayuan PENG
Chinese Journal of Medical Instrumentation 2023;47(1):110-114
The purpose of this study is to establish and apply a correction method for titanium alloy implant in spinal IMRT plan, a corrected CT-density table was revised from normal CT-density table to include the density of titanium alloy implant. Dose distribution after and before correction were calculated and compared to evaluate the dose deviation. Plans were also copied to a spinal cancer simulation phantom. A titanium alloy fixation system for spine was implanted in this phantom. Plans were recalculated and compared with the measurement result. The result of this study shows that the max dose of spinal cord showed significant difference after correction, and the deviation between calculation results and measurement results was reduced after correction. The method for expanding the range CT-density table, which means that the density of titanium alloy was included, can reduce the error in calculation.
Radiotherapy, Intensity-Modulated/methods*
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Titanium
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Radiotherapy Dosage
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Alloys
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Radiometry/methods*
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Radiotherapy Planning, Computer-Assisted/methods*
3.Progress in Development of Dose Verification System Software KylinRay-Dose4D.
Huaqing ZHENG ; Guangyao SUN ; Yun ZHAO ; Bo XIAO ; Jing JIA ; Tao HE ; Pengcheng LONG ; Liqin HU
Chinese Journal of Medical Instrumentation 2023;47(4):360-364
Advanced radiotherapy technology enables the dose to more accurately conform to the tumor target area of the patient, providing accurate treatment for the patient, but the gradient of the patient's radiation dose at the tumor edge is getting larger, which putting forward higher requirements for radiotherapy dose verification. The dose verification system software KylinRay-Dose4D can verify the patient's pre-treatment plan and the in vivo/on-line dose during the patient's treatment, providing important reference for the physicist to modify the radiotherapy plan and ensuring that the patient receives accurate treatment. This study introduces the overall design and key technologies of KylinRay-Dose4D, and tests the pre-treatment plan dose checking calculation and 2D/3D dose verification through clinical cases. The test results showed that the 2D/3D gamma pass rate (3 mm/3%) of KylinRay-Dose4D reconstructed dose compared with TPS plan dose and measured dose is larger than 95%, which indicating that the reconstructed dose of KylinRay-Dose4D meets the requirement of clinical application.
Humans
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Radiotherapy Dosage
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Radiotherapy Planning, Computer-Assisted/methods*
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Radiotherapy, Intensity-Modulated/methods*
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Software
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Neoplasms
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Phantoms, Imaging
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Radiometry/methods*
4.Feasibility Study of Beam Angle Optimization Based on Scripts in Automated-planning for Liver Cancer.
Han XIAO ; Yujie ZHANG ; Weixing JI ; Tingting LI ; Jianying ZHANG
Chinese Journal of Medical Instrumentation 2023;47(4):365-369
OBJECTIVE:
To study the feasibility and potential benefits of beam angle optimization (BAO) to automated planning in liver cancer.
METHODS:
An approach of beam angle sampling is proposed to implement BAO along with the module Auto-planning in treatment planning system (TPS) Pinnacle. An in-house developed plan quality metric (PQM) is taken as the preferred evaluating method during the sampling. The process is driven automatically by in-house made Pinnacle scripts both in sampling and scoring. In addition, dosimetry analysis and physician's opinion are also performed as the supplementary and compared with the result of PQM.
RESULTS:
It is revealed by the numerical analysis of PQM scores that only 15% patients whose superior trials evaluated by PQM are also the initial trials. Gantry optimization can bring benefit to plan quality along with auto-planning in liver cancer. Similar results are provided by both dose comparison and physician's opinion.
CONCLUSIONS
It is possible to introduce a full automated approach of beam angle optimization to automated planning process. The advantages of this procedure can be observed both in numerical analysis and physician's opinion.
Humans
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Radiotherapy Planning, Computer-Assisted/methods*
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Feasibility Studies
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Radiometry/methods*
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Liver Neoplasms/radiotherapy*
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Radiotherapy, Intensity-Modulated/methods*
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Radiotherapy Dosage
5.Convenient Approach to Improve Correlation between Geometry and Dosimetric Parameters for Automatic Segmentation in Radiotherapy.
Tingting LI ; Anning CAO ; Jianying ZHANG ; Xiurui MA ; Yujie ZHANG
Chinese Journal of Medical Instrumentation 2022;46(5):490-495
OBJECTIVE:
To design a series of geometric indexes, which can improve the correlation between geometric parameters and dosimetric parameters.
METHODS:
48 cases of upper abdomen were selected. Manual and automatic segmentation were performed for two organs at risk, which were stomach and duodenum. Three overlapping structures, which were the overlaps with target expanded by 5 mm, 10 mm and 20 mm, were generated for each organ at risk. The geometric parameters of overlapping structures were calculated. The relationship between these geometric parameters and the dosimetric parameters of organs was investigated.
RESULTS:
When the geometric parameters of overlapping structures related to the target expand 5 mm, 10 mm and 20 mm were larger than 0.4, 0.6 and 0.8 respectively, the maximum dose differences of manual and automatic segmentation were less than 3 Gy. For the case with no overlaps between the organs and the target expansions, the overlap structure corresponding to target expanding 20 mm were recommended for safety considerations.
CONCLUSIONS
For organs at risk in the upper abdomen, the overlapping geometric parameters were closely related to the maximum dose of organs. Overlapping geometric parameters could predict whether the difference of maximum dose caused by automaticsegmentation was clinically acceptable or not.
Organs at Risk
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Radiometry
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Radiotherapy Dosage
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Radiotherapy Planning, Computer-Assisted
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Radiotherapy, Intensity-Modulated
6.Advances in magnetic resonance imaging guided radiation therapy.
Wenzhe XU ; Changjian WANG ; Yiming MA ; Chunfeng FANG ; Hanshun GONG ; Gaolong ZHANG ; Baolin QU ; Shouping XU
Journal of Biomedical Engineering 2021;38(1):161-168
Image-guided radiation therapy using magnetic resonance imaging (MRI) is a new technology that has been widely studied and developed in recent years. The technology combines the advantages of MRI imaging, and can offer online real-time tracking of tumor and adjacent organs at risk, as well as real-time optimization of radiotherapy plan. In order to provide a comprehensive understanding of this technology, and to grasp the international development and trends in this field, this paper reviews and summarizes related researches, so as to make the researchers and clinical personnel in this field to understand recent status of this technology, and carry out corresponding researches. This paper summarizes the advantages of MRI and the research progress of MRI linear accelerator (MR-Linac), online guidance, adaptive optimization, and dosimetry-related research. Possible development direction of these technologies in the future is also discussed. It is expected that this review can provide a certain reference value for clinician and related researchers to understand the research progress in the field.
Magnetic Resonance Imaging
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Particle Accelerators
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Radiometry
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Radiotherapy Planning, Computer-Assisted
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Radiotherapy, Image-Guided
8.Dosimetric verification of stereotactic body radiotherapy treatment plan via ArcCHECK-3DVH system.
Shulin CHENG ; Dongyong SHAN ; Ke CAO ; Shizhen BIN ; Junjun ZHANG ; Tian TANG
Journal of Central South University(Medical Sciences) 2021;46(5):475-480
OBJECTIVES:
To study the feasibility of ArcCHECK-3DVH system in dosimetric verification for stereotactic body radiaotherapy (SBRT) with flattening filter free (FFF) model.
METHODS:
SBRT treatment plans for 57 patients were introduced into ArcCHECK phantom and recalculated. The calculated dose distribution of treatment planning system and the measured dose distribution of ArcCHECK phantom were compared by γ analysis. Then the 3 dimensional dose distribution of target and organs at risk was reconstructed by 3DVH software. The reconstructed dose and calculated dose with treatment planning system (TPS) were compared, and the dose volume γ pass rate and deviation of dose volume parameters to the target and organs at risk were quantitatively valuated.
RESULTS:
Based on the threshold criteria (3%, 3 mm, 10%), namely the deviation of measuring points between the planned value and the measured value was less than 3%, and the proportion of points with similar values in the plane or sphere with the center of the point and the radius of 3 mm was 10%, the relative and absolute dose pass rates of SBRT treatment plans in ArcCHECK system via γ analysis were greater than 95%. Based on the stricter threshold criteria (2%, 2 mm, 10%), the relative and absolute dose pass rates of SBRT treatment plan in ArcCHECK system via γ analysis were about 93%. In 3DVH dose verification, the γ pass rate of target and organs at risk was exceed 97%, and the deviations in 3DVH of the target and organs at risk were less than ±5%.
CONCLUSIONS
The ArcCHECK-3DVH system in dose verification can provide more comprehensive dose distribution information to reasonably evaluate the SBRT plan, with more significance for guiding clinical treatment.
Humans
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Phantoms, Imaging
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Quality Assurance, Health Care
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Radiometry
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Radiosurgery
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Radiotherapy Dosage
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Radiotherapy Planning, Computer-Assisted
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Radiotherapy, Intensity-Modulated
9.Application of Radiomics in Classification and Prediction of Benign and Malignant Lung Tumors.
Tianqi ZHOU ; Chaoting ZHU ; Feng SHI
Chinese Journal of Medical Instrumentation 2020;44(2):113-117
Aiming at the lack of quantitative evaluation methods in clinical diagnosis of lung cancer, a classification and prediction model of lung cancer based on Support Vector Machine (SVM) was constructed by using radiomics method. Firstly, the definition and processing flow of radiomics were introduced. The experimental samples were selected from 816 lung cancer patients on LIDC. Firstly, ROI was extracted by central pooling convolution neural network segmentation method. Then, Pyradiomics and FSelector feature selection models were used to extract features and reduce dimension. Finally, SVM was used to construct the classification and prediction model of lung tumors. The predictive accuracy of the model is 80.4% for the classification of benign and malignant pulmonary nodules larger than 5 mm, and the value of the area under the curve (AUC) is 0.792. This indicates that the SVM classifier model can accurately distinguish benign and malignant pulmonary nodules larger than 5 mm.
Algorithms
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Humans
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Lung Neoplasms/diagnostic imaging*
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Neural Networks, Computer
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Radiometry
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Support Vector Machine
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Tomography, X-Ray Computed
10.Study on the Quick Daily Check for Medical Electron LINAC.
Yuanhua CHEN ; Juan LI ; Weigang HU ; Xu HAN ; Haiying ZHANG ; Zhiqiang WU
Chinese Journal of Medical Instrumentation 2019;43(2):143-145
This study presents an electronic portal imaging devices (EPIDs) based on daily check tool for Linac that is usable for different cancer centers.Several images of open rectangle fields were acquired with EPID and the key items of daily Linac check were derived from the obtained images using an in-house developed automatic analysis software.The experiment results showed that each parameter calculated by this tool is as reliable as the corresponding result measured by the commercial quality assurance devices and its measuring efficiency is much higher.
Electronics, Medical
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Electrons
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Particle Accelerators
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Phantoms, Imaging
;
Radiometry
;
Software

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