BACKGROUND: The domestic and overseas scholars have conducted a large number of studies on the measurement of spinal canal area in patients with lumbar spinal stenosis by CT and MRI. However, due to differences of individuals, spinal canal morphologys, measurement methods and measurement planes, there is no recognized measurement standard and value for the measurement of lumbar spinal canal area at present. There are few reports to evaluate the consistency and repeatability of CT and MRI in measuring lumbar spinal canal area. OBJECTIVE: To analyze the consistency and repeatability of three-dimensional reconstruction CT and MRI in measuring the cross-sectional area of lumbar spinal stenosis, and to explore the best imaging measurement method for the cross-sectional area of lumbar spinal stenosis. METHODS: The preoperative imaging data of 102 patients with lumbar spinal stenosis who underwent surgical treatment in Department of Spinal surgery, the Affiliated Hospital of Southwest Medical University from January 2013 to January 2018 with three-dimensional reconstruction CT and lumbar MRI were collected. The corresponding spinal canal area of each narrow intervertebral disc on three-dimensional reconstruction CT and lumbar MRI images was measured by two spinal surgeons at three different time points. The spinal canal area corresponding to the midline plane of the narrow intervertebral disc parallel to the lower endplate of the upper vertebral body was selected for measurement. Paired t-test was used to analyze the difference in spinal canal area between the results of the two methods. Pearson correlation analysis was used to evaluate the correlation between the results of spinal canal area between the two methods. Intraclass correlation coefficient and Bland-Altman plot were used to analyze the consistency and repeatability of the two methods in measuring the area of narrow lumbar spinal canal. Z-test was used to compare the ICC values of interobserver and intraobserver in measurement of narrow lumbar spinal canal area by the two methods. The protocols were approved by the Affiliated Hospital of Southwest Medical University Ethics Committee (approval No. KY2020176). RESULTS AND CONCLUSION: (1) The values of narrow lumbar spinal canal measured by three-dimensional reconstruction CT and MRI were (136.28±2.38) mm and (139.98±2.30) mm; there were significant differences between them (t=-3.96, P < 0.001). Pearson correlation analysis showed that there was a positive correlation between three-dimensional reconstruction CT and MRI measurement of narrow lumbar spinal canal area (r=0.950, P < 0.001). (2) The values of interobserver ICC and intraobserver ICC were 0.908-0.937 and 0.942-0.971. The values of interobserver ICC and intraobserver ICC measured by lumbar MRI were higher than those measured by three-dimensional reconstruction CT (P < 0.05). (3) Bland-Altman plot showed that the 95% distribution range of the difference of spinal canal area between the t
{"title":"Consistency and repeatability of CT and MRI in measurement of spinal canal area in patients with lumbar spinal stenosis","authors":"Tianhu Yang, Tang Chao, Liao Yehui, Tang Qiang, M. Fei, Zhong Dejun","doi":"10.12307/2021.097","DOIUrl":"https://doi.org/10.12307/2021.097","url":null,"abstract":"BACKGROUND: The domestic and overseas scholars have conducted a large number of studies on the measurement of spinal canal area in patients with lumbar spinal stenosis by CT and MRI. However, due to differences of individuals, spinal canal morphologys, measurement methods and measurement planes, there is no recognized measurement standard and value for the measurement of lumbar spinal canal area at present. There are few reports to evaluate the consistency and repeatability of CT and MRI in measuring lumbar spinal canal area. OBJECTIVE: To analyze the consistency and repeatability of three-dimensional reconstruction CT and MRI in measuring the cross-sectional area of lumbar spinal stenosis, and to explore the best imaging measurement method for the cross-sectional area of lumbar spinal stenosis. METHODS: The preoperative imaging data of 102 patients with lumbar spinal stenosis who underwent surgical treatment in Department of Spinal surgery, the Affiliated Hospital of Southwest Medical University from January 2013 to January 2018 with three-dimensional reconstruction CT and lumbar MRI were collected. The corresponding spinal canal area of each narrow intervertebral disc on three-dimensional reconstruction CT and lumbar MRI images was measured by two spinal surgeons at three different time points. The spinal canal area corresponding to the midline plane of the narrow intervertebral disc parallel to the lower endplate of the upper vertebral body was selected for measurement. Paired t-test was used to analyze the difference in spinal canal area between the results of the two methods. Pearson correlation analysis was used to evaluate the correlation between the results of spinal canal area between the two methods. Intraclass correlation coefficient and Bland-Altman plot were used to analyze the consistency and repeatability of the two methods in measuring the area of narrow lumbar spinal canal. Z-test was used to compare the ICC values of interobserver and intraobserver in measurement of narrow lumbar spinal canal area by the two methods. The protocols were approved by the Affiliated Hospital of Southwest Medical University Ethics Committee (approval No. KY2020176). RESULTS AND CONCLUSION: (1) The values of narrow lumbar spinal canal measured by three-dimensional reconstruction CT and MRI were (136.28±2.38) mm and (139.98±2.30) mm; there were significant differences between them (t=-3.96, P < 0.001). Pearson correlation analysis showed that there was a positive correlation between three-dimensional reconstruction CT and MRI measurement of narrow lumbar spinal canal area (r=0.950, P < 0.001). (2) The values of interobserver ICC and intraobserver ICC were 0.908-0.937 and 0.942-0.971. The values of interobserver ICC and intraobserver ICC measured by lumbar MRI were higher than those measured by three-dimensional reconstruction CT (P < 0.05). (3) Bland-Altman plot showed that the 95% distribution range of the difference of spinal canal area between the t","PeriodicalId":35055,"journal":{"name":"中国组织工程研究","volume":"25 1","pages":"3882"},"PeriodicalIF":0.0,"publicationDate":"2021-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46105464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shu Qihang, Liao Yijia, Xu Jingbo, Yan Yiguo, Wang Cheng
{"title":"Three-dimensional finite element analysis of a new three-dimensional printed porous fusion cage for cervical vertebra","authors":"Shu Qihang, Liao Yijia, Xu Jingbo, Yan Yiguo, Wang Cheng","doi":"10.12307/2021.084","DOIUrl":"https://doi.org/10.12307/2021.084","url":null,"abstract":"","PeriodicalId":35055,"journal":{"name":"中国组织工程研究","volume":"25 1","pages":"3810"},"PeriodicalIF":0.0,"publicationDate":"2021-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45336141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Etiology and treatment of femoral trochlear dysplasia: congenital genetic determination or stress stimulation of patella","authors":"Zhou Yuanbo, Wang Jindong","doi":"10.12307/2021.101","DOIUrl":"https://doi.org/10.12307/2021.101","url":null,"abstract":"","PeriodicalId":35055,"journal":{"name":"中国组织工程研究","volume":"25 1","pages":"3908"},"PeriodicalIF":0.0,"publicationDate":"2021-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46476434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yi Meizhi, Lu Guanghua, Xiao Yawen, Hu Rong, C. Xiaolong, Zhao Heng
{"title":"MRI findings of anatomical variations of the talus","authors":"Yi Meizhi, Lu Guanghua, Xiao Yawen, Hu Rong, C. Xiaolong, Zhao Heng","doi":"10.12307/2021.098","DOIUrl":"https://doi.org/10.12307/2021.098","url":null,"abstract":"","PeriodicalId":35055,"journal":{"name":"中国组织工程研究","volume":"25 1","pages":"3888"},"PeriodicalIF":0.0,"publicationDate":"2021-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46678642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chen Feng, Zhang Xiaoyun, Chen Yueping, Liao Jianzhao, Li Jiajun, Song Shilei, Lai Yu
BACKGROUND: Modern pharmacological studies have shown that anhydroicaritin has an estrogen-like effect and plays a very positive role in the treatment of osteoarthritis. Because of anhydroicaritin's unclear mechanism underlying the treatment of osteoarthritis at the molecular level, network pharmacology and bioinformatics are introduced to explain the potential molecular mechanism of anhydroicaritin in the treatment of osteoarthritis. This can provide a theoretical basis for future drug development and disease treatment. OBJECTIVE: To preliminarily analyze the key molecular mechanism of anhydroicaritin in the treatment of osteoarthritis based on network pharmacology and bioinformatics, thereby providing new potential targets in treating osteoarthritis. METHODS: The pharmacokinetic properties of anhydroicaritin were assessed using TCMSP database. The GEO databases were searched for chips related to anhydroicaritin and osteoarthritis. The differentially expressed genes were analyzed by R language. Then protein-protein interaction networks of anhydroicaritin and osteoarthritis-related differential genes were respectively constructed to screen the hub genes of anhydroicaritin in the treatment of osteoarthritis, and molecular docking verification between anhydroicaritin and hub genes was performed. Finally, the DAVID database was used to enrich the hub genes for GO and KEGG pathway analysis. RESULTS AND CONCLUSION: The oral bioavailability and drug-likeness of anhydroicaritin were 45.41% and 0.44, respectively. The anhydroicaritin and osteoarthritis chips numbered GSE85871 and GSE1919 respectively were obtained in the GEO database, and the R language analysis screened out 152 and 1 142 differential genes, respectively. The GeneMANIA database was used to construct the protein-protein interaction networks of the targets of anhydroicaritin and osteoarthritis, and 44 hub genes were merged by R language. We used molecular docking to find that anhydroicaritin and hub genes have good binding activity. The enrichment analysis of the DAVID database showed that the biological process of anhydroicaritin in the treatment of osteoarthritis included responses to calcium and metal ions, steroid hormone, and organophosphorus. The signaling pathway mainly involved included MAPK signaling pathway, osteoclast differentiation signaling pathway, PI3K-AKT signaling pathway, and interleukin-17 signaling pathway. Network pharmacology and bioinformatics could be used to effectively analyze the original gene chip data of GEO database, which could not only identify the known signal pathways related to the treatment of osteoarthritis with anhydroicaritin, but also find out some new pathways or biological processes. Anhydroicaritin is expected to be a new molecule in the treatment of osteoarthritis.
{"title":"Molecular mechanism of anhydroicaritin in the treatment of osteoarthritis: an analysis based on network pharmacology and bioinformatics","authors":"Chen Feng, Zhang Xiaoyun, Chen Yueping, Liao Jianzhao, Li Jiajun, Song Shilei, Lai Yu","doi":"10.12307/2021.043","DOIUrl":"https://doi.org/10.12307/2021.043","url":null,"abstract":"BACKGROUND: Modern pharmacological studies have shown that anhydroicaritin has an estrogen-like effect and plays a very positive role in the treatment of osteoarthritis. Because of anhydroicaritin's unclear mechanism underlying the treatment of osteoarthritis at the molecular level, network pharmacology and bioinformatics are introduced to explain the potential molecular mechanism of anhydroicaritin in the treatment of osteoarthritis. This can provide a theoretical basis for future drug development and disease treatment. OBJECTIVE: To preliminarily analyze the key molecular mechanism of anhydroicaritin in the treatment of osteoarthritis based on network pharmacology and bioinformatics, thereby providing new potential targets in treating osteoarthritis. METHODS: The pharmacokinetic properties of anhydroicaritin were assessed using TCMSP database. The GEO databases were searched for chips related to anhydroicaritin and osteoarthritis. The differentially expressed genes were analyzed by R language. Then protein-protein interaction networks of anhydroicaritin and osteoarthritis-related differential genes were respectively constructed to screen the hub genes of anhydroicaritin in the treatment of osteoarthritis, and molecular docking verification between anhydroicaritin and hub genes was performed. Finally, the DAVID database was used to enrich the hub genes for GO and KEGG pathway analysis. RESULTS AND CONCLUSION: The oral bioavailability and drug-likeness of anhydroicaritin were 45.41% and 0.44, respectively. The anhydroicaritin and osteoarthritis chips numbered GSE85871 and GSE1919 respectively were obtained in the GEO database, and the R language analysis screened out 152 and 1 142 differential genes, respectively. The GeneMANIA database was used to construct the protein-protein interaction networks of the targets of anhydroicaritin and osteoarthritis, and 44 hub genes were merged by R language. We used molecular docking to find that anhydroicaritin and hub genes have good binding activity. The enrichment analysis of the DAVID database showed that the biological process of anhydroicaritin in the treatment of osteoarthritis included responses to calcium and metal ions, steroid hormone, and organophosphorus. The signaling pathway mainly involved included MAPK signaling pathway, osteoclast differentiation signaling pathway, PI3K-AKT signaling pathway, and interleukin-17 signaling pathway. Network pharmacology and bioinformatics could be used to effectively analyze the original gene chip data of GEO database, which could not only identify the known signal pathways related to the treatment of osteoarthritis with anhydroicaritin, but also find out some new pathways or biological processes. Anhydroicaritin is expected to be a new molecule in the treatment of osteoarthritis.","PeriodicalId":35055,"journal":{"name":"中国组织工程研究","volume":"25 1","pages":"3704"},"PeriodicalIF":0.0,"publicationDate":"2021-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41974190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Liu Zhiwei, X. Rui, S. Kai, Liang Kaiming, Wang Xiongwei, Z. Jiawen, Zhu Liguo
{"title":"Interpretation of diagnostic criteria for cervicogenic headache: challenges and understandings in diagnosis and differential diagnosis","authors":"Liu Zhiwei, X. Rui, S. Kai, Liang Kaiming, Wang Xiongwei, Z. Jiawen, Zhu Liguo","doi":"10.12307/2021.049","DOIUrl":"https://doi.org/10.12307/2021.049","url":null,"abstract":"","PeriodicalId":35055,"journal":{"name":"中国组织工程研究","volume":"25 1","pages":"3746"},"PeriodicalIF":0.0,"publicationDate":"2021-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49479204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bai Shengchao, Gao Yang, Wang Bo, Li Junping, Wang Ruiyuan
{"title":"Dynamic changes of mitochondrial function of the skeletal muscle after acupuncture intervention in rats with heavy load exercise-induced injury","authors":"Bai Shengchao, Gao Yang, Wang Bo, Li Junping, Wang Ruiyuan","doi":"10.12307/2021.034","DOIUrl":"https://doi.org/10.12307/2021.034","url":null,"abstract":"","PeriodicalId":35055,"journal":{"name":"中国组织工程研究","volume":"25 1","pages":"3648"},"PeriodicalIF":0.0,"publicationDate":"2021-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42057508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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