1.Thoracoscopic internal mammary artery harvesting approach in MIDCAB
Xinghai HAO ; Feng WAN ; Hong ZHAO ; Zhongqi CUI ; Qiang LIU ; Zhiming SONG
Chinese Journal of Thoracic and Cardiovascular Surgery 2013;(5):297-300
Objective To analysis of preoperative preparation,operation,character,advantage and deficiency of two non-robotic TIMAH approach in MIDCAB,and to observe the short-term follow up result.Methods 7 male CAD patients with classic unstable angina pectoris,the age ranged from 52 to 75 years,average (63.8 ± 8.5) years,underwent TIMAH and MIDCAB,in which 6 single LAD disease patients and one patient for reoperation with saphenous vein graft (SVG) graft failure to LAD and progressive obtuse marginal(OM) coronary artery disease.These patients were intubated with a double-lumen endotracheal tube,and one-lung ventilation were used to facilitate the procedure.In the approach of two incisions TIMAH for 4 patients,the thoracoscope was placed at the third intercostals space(ICS) on the anterior axillary line,and LIMA was dissected with endo-instruments placed from the two angles of mini-thoracotomy at fifth ICS on the midclavicular line.In the approach of three incisions TIMAH for 3 patients,LIMA was dissected with endo-instruments placed from two ports at the fourth ICS on the anterior axillary line and at the fifth ICS on the midclavicular line,and the thoracoscope was placed at the second or third intercostals space (ICS) on the anterior axillary line.Anastomosis of LIMA and LAD followed through mini-thoracotomy at fifth ICS with the heart stabilizer after TIMAH.SVG graft was used from LIMA to OM in the reoperation patient.Results All patients underwent TIMAH and MIDCAB safely without transferece to stenotomy,only one LIMA was extended with 2 cm SVG for injure at the distal.In 6 single vessel disease patients the length of mini-thoracotomy incision was (6.0 ± 0.9) cm,TIMAH time was (112 ±18) min,operation time was (293 ± 75) min,bleeding volume was (233 ± 52) ml,endotracheal tube time was (14.2 ± 10.7) h,ICU time was (1.8 ±0.4) d and hospital stay time was (10.1 ±6.7) d.All patients were uneventful discharged and with no recurrence of cardiac symptoms in short-term follow up.Conclusion TIMAH can perform safely in both approaches for LIMA prepare to MIDCAB as described before.The minimally invasive procedure need not enlarge incision for LIMA harvesting with good short term results.
2.Associations of single nucleotide polymorphisms of VEGFRI and smoking with age-related macular degeneration in Hui and Han populations from Ningxia region in China
Wei, XIANG ; Hao, CHI ; Zhongqi, XUE ; Wen, ZHANG ; Xunlun, SHENG ; Wenjuan, ZHUANG
Chinese Journal of Experimental Ophthalmology 2016;34(6):534-540
Background Age-related macular degeneration (AMD) is a heritable,progressive degenerative disorder that triggers central visual impairment.Research demonstrated that the single nucleotide polymorphisms (SNPs) of vascular endothelial growth factor 1 (VEGFR1) gene is associated with AMD in different population.However,the results varied among diversified ethnic origin composition and distinct regions.Objective This study was to investigate the associations between the SNPs of VEGFR1 genetic variants along with smoking exposure and the risk of AMD in Hui and Han ethnics in the Ningxia population in China.Methods A case-control study was conducted.Four hundreds and thirty-two AMD patients including 325 Han ethnic patients and 107 Hui ethnic patients were recruited from March 2011 to June 2015,and 906 ethnicity-and gender-matched age-related cataract patients were contemporaneously recruited as control group,including 698 Han ethnic patients and 208 Hui ethnic patients.Periphery blood sample of 5 ml was collected from the subjects and genomic DNA was prepared.Eight tagging SNPs loci were acquired to cover rs2281827,rs3936415,rs7337610,rs7981680,rs9554320,rs9554322,rs9582036 and rs9943922,and the genotypes of SNPs were detected by using MassARRAYTM time-of-flight mass spectrometry system.Chi-square test and multi-factor Logistic regression analysis were utilized to estimate the discrepancy of allele frequency and genotype distribution in Hui and Han AMD patients.Moreover,the correlation of AMD with smoking and age statue were further analyzed.This study protocol complied with Helsinki Declaration and was approved by Ethic Committee of Ningxia Eye Hospital.Written informed consent was obtained before any relevant medical examination.Results There were significant differences in the age between AMD group and control group in both Han and Hui ethnicity (Han:P =0.000;Hui:P =0.009).The smoking exposure was significantly different between AMD group and control group in Han ethnicity (P =0.000),and smoking was the independent risk factor of AMD disease in Han ethnicity of N ingxia region (odds ratio [OR] =2.622,95% confidence interval [CI]:1.899-3.619).The allele frequencies of SNPs were not significantly different in the AMD patients between Han and Hui ethnicity (all at P>0.05).However,the allele frequencies and genotype distribution of rs7337610 and rs9554322 SNPs were significantly different between the AMD group and control group in both Han and Hui ethnicity (all at P=0.00).The genotype distribution of rs9582036 and rs9943922 SNPs was significantly different between the AMD group and control group in Han ethnicity (P=0.02,0.00).Allelic G of rs7337610 was the protective factor of AMD disease in Han and Hui ethnieity (OR=0.354,95% CI:0.288-0.435;OR=0.446,95% CI:0.315-0.632),while allelic C of rs9554322 was the risk factor of AMD disease in Han and Hui ethnicity (OR=1.671,95% C1:1.234-2.262;OR=3.661,95% CI:2.156-6.218).Allelic A of rs9582036 was the risk factor of AMD disease in Han ethnicity (OR =1.477,95% CI:1.124-1.940).Conclusions Smoking is the independent risk component for Han population with AMD.Of the eight SNPs tagged,the genotypes and alleles of rs9554322 and rs7337610 seems to confer susceptibility to AMD in both Han and Hui ethnicity,the genotypes and alleles of rs9582036 and rs9943922 confer susceptibility to AMD in only Han ethnicity.
3.Quantitative Analysis of Soil by Laser-induced Breakdown Spectroscopy Using Genetic Algorithm-Partial Least Squares
Xiaoheng ZOU ; Zhongqi HAO ; Rongxing YI ; Lianbo GUO ; Meng SHEN ; Xiangyou LI ; Zemin WANG ; Xiaoyan ZENG ; Yongfeng LU
Chinese Journal of Analytical Chemistry 2015;(2):181-186
Laser-induced breakdown spectroscopy ( LIBS) was used to detect the compositions of soil in the air, and the quantitative analysis model with genetic algorithm-partial least squares ( GA-PLS ) was established. A total of fifty-eight soil samples were split into calibration, monitoring and prediction sets. Eleven soil compositions including Mn, Cr, Cu, Pb, Ba, Al2 O3 , CaO, Fe2 O3 , MgO, Na2 O, and K2 O were quantitatively analyzed. The results demonstrated that, as a pretreatment method for optimizing the selection of spectral lines, GA could be effectively used to reduce the number of spectral lines for use in building PLS model, and hence simplify the quantitative analysis model. More importantly, for most of the soil compositions, GA-PLS could significantly improve the prediction ability compared with the conventional PLS model. Take Mn as an example, the root-mean-square error of prediction ( RMSEP ) was decreased from 0. 0215% to 0 . 0167%, and the mean percent prediction error ( MPE ) was decreased from 8 . 10% to 5 . 20%. The research provides an approach for further improving the accuracy of LIBS quantitative analysis in soil.
4.Automatic segmentation of identified vertebral bones from CT images using CA-SegResNet
Zhongqi ZHU ; Xiaolong GAO ; Yinghao LI ; Guang YANG ; Liguo HAO ; Hongzhi WANG
Chinese Journal of Medical Physics 2024;41(11):1349-1356
A three-dimensional(3D)medical image segmentation network(CA-SegResNet)which incorporates a 3D coordinate attention mechanism is proposed to address the issue of segmenting identified vertebral bones from spinal computed tomography(CT)images.The network extracts image features through a deep residual convolutional neural network and fuses the feature maps from each encoder layer with the input of the corresponding decoder layer.Subsequently,a 3D coordinate attention module is introduced to capture inter-channel relationships as well as directional and positional information,establishing long-range dependencies across different spatial directions,thereby enabling precise segmentation of the identified vertebral bones.For the segmentation tasks involving the identified cervical vertebra(the 7th cervical vertebra)and the identified thoracic vertebra(the 12th thoracic vertebra)across 105 cases,CA-SegResNet achieves average Dice similarity coefficients(DSC)of 0.934 5 and 0.918 9 on the test set,with average Hausdorff distances(HD)of 7 and 8 mm.Compared with U-Net results,the average DSC is improved by 0.014 5 and 0.0463,while average HD is reduced by 176 and 388 mm.The results demonstrate that the network can realize the precise segmentation of identified vertebral bones from CT images.