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ETM study of electroporation influence on cell morphology in human malignant melanoma and human primary gingival fibroblast cells 被引量:2
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作者 Nina Skolucka Malgorzata Daczewska +5 位作者 Jolanta Saczko Agnieszka Chwilkowska Anna Choromanska Malgorzata Kotulska Iwona Kaminska Julita Kulbacka 《Asian Pacific Journal of Tropical Biomedicine》 SCIE CAS 2011年第2期94-98,共5页
Objective:To estimate electroporation(EP) influence on malignant and normal cells.Methods: Two cell lines including human malignant melanoma(Me-43) and normal human gingival fibroblast(HCFs) were used.EP parameters we... Objective:To estimate electroporation(EP) influence on malignant and normal cells.Methods: Two cell lines including human malignant melanoma(Me-43) and normal human gingival fibroblast(HCFs) were used.EP parameters were the following:230,1000,1 730,2 300 V/cm;30 μ s by 3 impulses for every case.The viability of cells after EP was estimated by MTT assay. The ullrastructural analysis was observed by transmission electron microscope(Zeiss EM 900). Results:In the current study we observed the intracellular effect following EP on Me-43 and HGF cells.At the conditions applied,we did not observe any significant damage of mitochondrial activity in both cell lines treated by EP.Conversely,we showed that EP in some conditions can stimulate cells to proliferation.Some changes induced by EP were only visible in electron microscopy.In fibroblast cells we observed significant changes in lower parameters of EP(230 and 1 000 V/cm).After applying higher electric field intensities(2 300 V/cm) we detected many vacuoles,myelin-like bodies and swallowed endoplasmic reticulum.In melanoma cells such strong pathological modifications after EP were not observed,in comparison with control cells. The ultrastructure of both treated cell lines was changed according to the applied parameters of EP.Conclusions:We can claim that EP conditions are cell line dependent.In terms of the intracellular morphology,human fibroblasts are more sensitive to electric field as compared with melanoma cells.Optimal conditions should be determined for each cell line.Summarizing our study,we can conclude that EP is not an invasive method for human normal and malignant cells. This technique can be safely applied in chemotherapy for delivering drugs into tumor cells. 展开更多
关键词 ELECTROPORATION ELECTRON microscopy HUMAN melanoma cells PRIMARY fibroblasts CELL morphology Transmission ELECTRON microscope Malignant CELL Normal CELL Intracellular effect Electric field Proliferation Ultrastructural analysis
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Active substance applicator to remove the disturbances in the fluid flow
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作者 Joanna Grzegorczyn Jacek Trompeta +1 位作者 Agnieszka Wróbel Krystian Kubica 《Journal of Biomedical Science and Engineering》 2014年第3期115-118,共4页
The paper presents the construction of an automatic applicator of active substance that removes causes of the disturbances in the fluid flow in a system that is under the control. In a particular case, it can be appli... The paper presents the construction of an automatic applicator of active substance that removes causes of the disturbances in the fluid flow in a system that is under the control. In a particular case, it can be applied to the removal of disturbances in the blood flow in vessels caused by a thrombus formation (e.g. post-operative or due to dialysis treatment). The presented applicator automatically releases the active substance into the system while detecting in real time the abnormal fluid flow. It allows mixing the active substance (e.g. anticoagulant drug) with the controlled medium outside the substance container (e.g. serum) while offering the possibility of the repeated usage. 展开更多
关键词 DRUG APPLICATOR THROMBUS DIALYSIS Fluid Flow
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Progress on radiomics and radiogenomics and their applications in breast cancer:A survey
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作者 Xuan Cao Ming Fan Lihua Li 《Data Science and Informetrics》 2023年第4期86-108,共23页
Radiomics is an emerging analytical approach in the medical field that extracts high-throughput quantitative features from multiple imaging data and builds models for cancer diagnosis,prog-nosis,and treatment by machi... Radiomics is an emerging analytical approach in the medical field that extracts high-throughput quantitative features from multiple imaging data and builds models for cancer diagnosis,prog-nosis,and treatment by machine learning or deep learning.Radiomics allows radiologists to ob-tain a more complete picture of the tumor in a noninvasive way than by reading radiographs.Radiogenomics incorporates genomics on top of radiomics to analyze the potential relationship between imaging features and tumor genetic status,enabling biological profiling of the causes of tumor heterogeneity,and its development of biomarkers will be of great help for personal-ized treatment.Breast cancer is the most prevalent cancer among women worldwide today,and this survey aims to summarize the progress on radiomics and radiogenomics,their applications in breast cancer,and discuss the issues that need to be addressed before radiomics and radio-genomics can be used in clinic.From the literature,it can be concluded that radiomics and ra-diogenomics have a high potential for differentiating malignant and benign breast lesions to as-sess breast cancer types and lymph node status,as well as to predict neoadjuvant chemotherapy response,risk of recurrence and survival outcomes,especially in the context of the rapid devel-opment of artificial intelligence technologies,promising early realization of precision medicine. 展开更多
关键词 Radiomics Radiogenomics Breast cancer Application Medical image
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The SACT Template:A Human Brain Diffusion Tensor Template for School-age Children 被引量:1
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作者 Congying Chu Haoran Guan +13 位作者 Sangma Xie Yanpei Wang Jie Luo Gai Zhao Zhiying Pan Mingming Hu Weiwei Men Shuping Tan Jia-Hong Gao Shaozheng Qin Yong He Lingzhong Fan Qi Dong Sha Tao 《Neuroscience Bulletin》 SCIE CAS CSCD 2022年第6期607-621,共15页
School-age children are in a specific development stage corresponding to juvenility,when the white matter of the brain experiences ongoing maturation.Dffusion-weighted magnetic resonance imaging(DWI),especially diffus... School-age children are in a specific development stage corresponding to juvenility,when the white matter of the brain experiences ongoing maturation.Dffusion-weighted magnetic resonance imaging(DWI),especially diffusion tensor imaging(DTI),is extensively used to characterize the maturation by assessing white matter properties in vivo.In the analysis of DWI data,spatial normalization is crucial for conducting inter-subject analyses or linking the individual space with the reference space.Using tensor-based registration with an appropriate diffusion tensor template presents high accuracy regarding spatial normalization.However,there is a lack of a standardized diffusion tensor template dedicated to school-age children with ongoing brain development.Here,we established the school-age children diffusion tensor(SACT)template by optimizing tensor reorientation on high-quality DTI data from a large sample of cognitively normal participants aged 6-12 years.With an age-balanced design,the SACT template represented the entire age range well by showing high similarity to the age-specific templates.Compared with the tensor template of adults,the SACT template revealed significantly higher spatial normalization accuracy and inter-subject coherence upon evaluation of subjects in two different datasets of schoolage children.A practical application regarding the age associations with the normalized DTI-derived data was conducted to further compare the SACT template and the adult template.Although similar spatial patterns were found,the SACT template showed significant effects on the distributions of the statistical results,which may be related to the performance of spatial normalization.Looking forward,the SACT template could contribute to future studies of white matter development in both healthy and clinical populations.The SACT template is publicly available now(tp://igshare com/aricles/dataseu'SACT_.template/14071283). 展开更多
关键词 School-age children Diffusion-weighted MRI Diffusion tensor template Spatial normalization
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