BACKGROUND:Recently, studies on three-dimensional reconstruction and biomechanics became more and more. Three-dimensional models of organs were established by modeling software based on image data using computer. Mechanical analysis was conducted using finite element analysis software. After literature retrieval, we found that the principle of three-dimensional reconstruction of human organs is not clear, and the process description is relatively simple. Some is not accorded with the fact. Above studies cannot guide related research. OBJECTIVE:To explore the principle, process, results and further application of three-dimensional reconstruction models of organs, and to provide evidence for future studies. METHODS:We retrieved China National Knowledge Infrastructure for representative literatures about three-dimensional reconstruction of human organs using the computer, and analyzed the principle, process, results and further application of three-dimensional reconstruction models of organs. RESULTS AND CONCLUSION:In combination with established three-dimensional bone models, we explained the principle, process, and application of three-dimensional reconstruction in detail, and laid the theoretical foundation for subsequent biomechanical research. With continuous development of tissue engineering technology, scholars have begun to study the pathogenesis of bone injury from various angles and different aspects so as to better prevent and treat this disease. The related research is stil in its primary stage, and stil needs further investigations. 

Objective:To investigate the effects of CT images reconstructed using different field of view (FOV) sizes on the automatic segmentation of organs at risk and dose calculation accuracy in radiotherapy after radical mastectomy.Methods:Under the same scanning conditions, CT values-electron density conversion curves were established by reconstructing the original CT images of a phantom placed at the isocenter and extended FOV (eFOV) positions using FOV sizes of 50, 60, 70 and 80 cm. Then, these curves were compared. A standard phantom with a known volume was scanned, and the automatic segmentation result of the phantom on CT images reconstructed using different FOV sizes was compared. A total of 30 patients in Guangdong Second Provincial General Hospital from January 2020 to June 2022 with breast cancer were randomly selected. Through simulated positioning, their CT images were reconstructed using different FOV sizes for the purpose of automatic segmentation of organs at risk, followed by comparison between the outcomes of automatic segmentation and physicians′segmentation. The treatment plan established based on CT images reconstructed using a FOV size of 50 cm (FOV 50 images for short) was applied to CT images reconstructed using FOV sizes of 60, 70 and 80 cm (FOV 60, FOV 70 and FOV 80 images for short) for dose calculation, and the dose calculation result were compared. Results:The CT values - electron density conversion curves derived from CT images reconstructed using different FOV sizes were roughly consistent. At the isocenter, the difference between the segmented volume and actual volume of the standard phantom increased up to a maximum of 6 cm 3 (4.8%) with an increase in the FOV size. As indicated by the automatic segmentation result, the segmentation accuracy of the spinal cord, trachea, esophagus, thyroid, healthy mammary gland, and skin decreased with an increase in the FOV size ( t = -28.43-8.23, P < 0.05). The comparison of dose calculated based on CT images reconstructed using different FOV sizes showed that there was no statistically significant differences( P>0.05) in the dose to target volume ( V95) and the maximum and average doses in the supraclavicular lymph node region, as well as the dose to organs at risk. The coverage for planned target volume decreased with an increase in the FOV size, with a maximum difference of 4.06%. Conclusions:It is recommended that, for radiotherapy after radical mastectomy, FOV 50 images should be selected for the automatic segmentation of organs at risk, CT-values-electron density conversion curves should be established based on the electron density phantom images of the eFOV region, and the eFOV 80 images should be preferred for dose calculation.

[摘 要] 目的：探究牛蒡子苷元（ARC）通过调控Notch/Hes-1信号通路对口腔鳞状细胞癌（OSCC）HSC-3细胞增殖、凋亡和侵袭的影响及其机制。方法：使用不同质量浓度的ARC处理人HSC-3细胞，CCK-8法检测ARC对细胞增殖活力的影响，以选择适宜的药物浓度。将HSC-3细胞分为对照组、ARC-L组（10 mg/L ARC）、ARC-M组（20 mg/L ARC）、ARC-H组（40 mg/L ARC）和ARC-H+Jagged1/FC组（40 mg/L ARC+1.2 μg/mL Jagged1/FC）。采用EdU法检测细胞增殖能力，划痕愈合实验、Transwell实验和流式细胞术分别检测细胞的迁移、侵袭能力及细胞周期和细胞凋亡率，WB法检测增殖（c-Myc、cyclin D1）、凋亡（BAX、Bcl-2、survivin）、EMT（E-cadherin、vimentin、Snail）及Notch/Hes-1通路（Notch 1、Hes-1、NICD）相关蛋白的表达水平。结果：与0 mg/L相比，10~80 mg/L的ARC均能显著降低HSC-3细胞增殖活力（均P<0.05）。与对照组相比，ARC-L组、ARC-M组和ARC-H组HSC-3细胞EdU阳性率、划痕愈合率、侵袭细胞数、S期和G2/M期细胞占比及c-Myc、cyclin D1、Bcl-2、survivin、vimentin、Snail、Notch 1、Hes-1和NICD蛋白表达均显著降低（均P<0.05），细胞凋亡率、G0/G1期细胞占比及BAX、E-cadherin的蛋白表达均显著升高（均P<0.05），且呈浓度梯度依赖性。同时使用Notch激动剂Jagged1/FC，则可部分逆转ARC对HSC-3细胞增殖、迁移、侵袭、凋亡及相关蛋白表达的作用（均P<0.05）。结论：ARC可能通过抑制Notch/Hes-1信号通路抑制OSCC细胞HSC-3增殖和侵袭并促进细胞凋亡。