1.Clinical features and prognostic factors of patients with bone metastases from prostate cancer
Jian HE ; Zhaochang ZENG ; Ping YANG ; Bing CHEN ; Jiazhou HOU
Chinese Journal of Radiation Oncology 2009;18(5):394-397
pros-tate cancer patents with bone metastases. The number of bone lesions, ALP level, Gleason's score, age and distant lymph node metastases are prognostic factors.
2.Expression of vascular endothelial growth factor and its receptor in the epididymal sperm of adolescent male rats
Qingyan AI ; Yufeng ZHAO ; Yanmei WANG ; Naizhou MIAO ; Li MA ; Jiazhou YANG
Chinese Journal of Tissue Engineering Research 2011;15(28):5221-5224
BACKGROUND: Vascular endothelial growth factor (VEGF) and its receptor fms-like tyrosine kinase-1 (Flt-1) have a very important position in the field of male reproduction. However, it is still unclear about their expression meaning and regulatory mechanism in the reproductive system. OBJECTIVE: To study the expression and location of VEGF and Flt-1 in the epididymal sperm of adolescent male rats. METHODS: The expression of VEGF and Flt-1 was detected in 10 adolescent SD rats. The concentration of the sperm was (30-40)×109/L. Immunofluorescent staining was used for VEGF and Flt-1 expression and location in the sperm. RESULTS AND CONCLUSION: Immunofluorescent staining showed that VEGF and Flt-1 were both localized in the acrosome of sperm head, as well as in the neck, middle and principal segment of sperm tail. Specific expression patterns of VEGF and Flt-1 in the sperm of rats display that they may participate in spermiotelcosis, relevant to movement, capacitation and acrosome reaction of the sperm.
3.Automatic delineation of rectal cancer target volume and organs at risk based on convolutional neural network
Xiang XIA ; Jiazhou WANG ; Lifeng YANG ; Zhen ZHANG ; Weigang HU
Chinese Journal of Radiation Oncology 2020;29(5):374-377
Objective:To realize automatic delineation of rectal cancer target volume and normal tissues and improve clinical work efficiency.Methods:The deep learning method based on convolutional neural network was adopted to construct neural network, learn and realize automatic delineation, and compare the differences between automatic delineation and manual delineation.Results:Two hundred and ten cases with rectal cancer were randomly assigned to a training set of 190 and a validation set of 20. The complete delineation of a single case took about 10s; the average Dice of CTV was 0.87±0.04; the average Dice of other normal tissues was bigger than 0.8; the Hausdorff distance (HD) index of CTV was 25.33±16.05; the mean distance to agreement (MDA) index was 3.07±1.49, and the Jaccard similarity coefficient (JSC) index was 0.77±0.07.Conclusion:The deep learning method based on full convolutional neural network can realize the automatic delineation of rectal cancer target volume and improve work efficiency.
4.The effect of environmental radiation of radiotherapy workplace on stereotactic radiation therapy plan dose verification using an Exradin W1 scintillator detector
Zike HUANG ; Cui YANG ; Jiazhou WANG ; Weigang HU ; Xu HAN
Chinese Journal of Radiological Medicine and Protection 2021;41(5):368-373
Objective:To study the influence of environmental radiation of radiotherapy workplace on the stereotactic radiation therapy(SRT) plan absolute dose verification with plastic scintillator detector Exradin W1.Methods:The computed tomography (CT) image of the stereotactic dose verification phantom (SDVP) was scanned and imported into the treatment planning system. Three schemes, including 3 cm × 3 cm to 20 cm × 20 cm square gradient field irradiation, virtual planning target volume(PTV) non-coplanar arcs irradiation and 10 cases of volumetric modulated arc radiotherapy SRT (VMAT SRT) clinical plan verification, were measured with or without a home-made shield over the photodiode. Measurements were recorded to analyze the impact of environmental radiation on dose measurement under different conditions.Results:The noise effect of the photodiode increased with the the lager open field size, and decreased with the reduced distance between the photodiode and isocenter. The contribution of photodiode noise effect increase with the lager non-coplanar arc field size, with the largest up to 4.16%. As for the clinical SRT plan verification measurement, the relative difference between the SRT plan measurements and treatment planning system(TPS) before and after shielding were (1.39±1.05)% and (0.59±1.03)%, respectively ( t=-5.343, P < 0.05). and for W1 vs. A16 microchamber was (1.22±1.56)% and (0.42±1.42)%, respectively ( t=-5.414, P < 0.05). Conclusions:The measurements of Exradin W1 are in good agreement with the TPS result and the ionization chamber measurements, but its accuracy is easily affected by the environmental radiation of radiotherapy workplace. To measure non-coplanar radiation, the photodiode should be placed as far away as possible from the isocenter and be properly shielded, which can effectively improve the accuracy and stability of the measurement and provide a strong guarantee for clinical precision radiotherapy.
5.Comparison of radiation dose calculation differences between uRT-TPS and Monaco-TPS for the same linear accelerator in multiple cancers
Yanju YANG ; Yingtao FANG ; Dadi GAO ; Jiazhou WANG ; Jun ZHAO ; Weigang HU
China Oncology 2024;34(1):82-89
Background and purpose:In recent years,domestic radiotherapy equipment and related software have made great progress,and testing the functionality and stability of the equipment and software is an essential step.This paper focused on comparing the differences in intensity-modulated radiation therapy(IMRT)plans dosimetry and organ at risk(OAR)volume calculations for common cancers between uRT-treatment planning system(TPS)and Monaco-TPS,and to evaluate the feasibility of dose calculation for Infinity linac(linear accelerator,Elekta,Sweden)using uRT-TPS.Methods:Twenty cases of rectal cancer,lung cancer,breast cancer and nasopharyngeal carcinoma were selected.The IMRT plans were completed in uRT-TPS and Monaco-TPS.The dose uniformity and conformity,mean dose,maximum dose of planning target volume(PTV)and OAR between two plans under the same prescribed dose of PTV were compared.And the pass rates of two TPS plans validated at the same linear accelerator were compared.Meanwhile,monitor units(MU),source skin distance(SSD)and the volume of OAR in uRT-TPS and Monaco-TPS were compared.Results:Wonderful plans that met the clinical requirements were obtained in uRT-TPS and Monaco-TPS.Comparable uniformity and conformability was received in PTV,and the maximum dose of PTV was reduced by 1.1 Gy for uRT-TPS(P = 0.006).For breast cancer and lung cancer,the dose in lung was lower for Monaco-TPS(P<0.05).For nasopharyngeal carcinoma,the dose indicators that oral cavity and throat in the uRT-TPS was reduced by 9.2%and 5.1%,respectively.The verification results of absolute point dose(<3%)and three-dimensional surface dose(>95%)for both plans met the clinical requirements.The region of interest in uRT-TPS was smaller compared with Monaco-TPS(P<0.05).Conclusion:A comparable IMRT plan was obtained for common tumors in uRT-TPS and Monaco-TPS.It is feasible to calculate the dose of Infinity linac using uRT-TPS.
6.Spatial Distribution of Parvalbumin-Positive Fibers in the Mouse Brain and Their Alterations in Mouse Models of Temporal Lobe Epilepsy and Parkinson's Disease.
Changgeng SONG ; Yan ZHAO ; Jiajia ZHANG ; Ziyi DONG ; Xin KANG ; Yuqi PAN ; Jinle DU ; Yiting GAO ; Haifeng ZHANG ; Ye XI ; Hui DING ; Fang KUANG ; Wenting WANG ; Ceng LUO ; Zhengping ZHANG ; Qinpeng ZHAO ; Jiazhou YANG ; Wen JIANG ; Shengxi WU ; Fang GAO
Neuroscience Bulletin 2023;39(11):1683-1702
Parvalbumin interneurons belong to the major types of GABAergic interneurons. Although the distribution and pathological alterations of parvalbumin interneuron somata have been widely studied, the distribution and vulnerability of the neurites and fibers extending from parvalbumin interneurons have not been detailly interrogated. Through the Cre recombinase-reporter system, we visualized parvalbumin-positive fibers and thoroughly investigated their spatial distribution in the mouse brain. We found that parvalbumin fibers are widely distributed in the brain with specific morphological characteristics in different regions, among which the cortex and thalamus exhibited the most intense parvalbumin signals. In regions such as the striatum and optic tract, even long-range thick parvalbumin projections were detected. Furthermore, in mouse models of temporal lobe epilepsy and Parkinson's disease, parvalbumin fibers suffered both massive and subtle morphological alterations. Our study provides an overview of parvalbumin fibers in the brain and emphasizes the potential pathological implications of parvalbumin fiber alterations.
Mice
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Animals
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Epilepsy, Temporal Lobe/pathology*
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Parvalbumins/metabolism*
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Parkinson Disease/pathology*
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Neurons/metabolism*
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Interneurons/physiology*
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Disease Models, Animal
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Brain/pathology*
7.Correction: Spatial Distribution of Parvalbumin-Positive Fibers in the Mouse Brain and Their Alterations in Mouse Models of Temporal Lobe Epilepsy and Parkinson's Disease.
Changgeng SONG ; Yan ZHAO ; Jiajia ZHANG ; Ziyi DONG ; Xin KANG ; Yuqi PAN ; Jinle DU ; Yiting GAO ; Haifeng ZHANG ; Ye XI ; Hui DING ; Fang KUANG ; Wenting WANG ; Ceng LUO ; Zhengping ZHANG ; Qinpeng ZHAO ; Jiazhou YANG ; Wen JIANG ; Shengxi WU ; Fang GAO
Neuroscience Bulletin 2023;39(11):1747-1748