1.Analysis on maintenance cassette sterilizer from the perspectives of risk, cost and benefit
Xinqi GUO ; Yan WANG ; Peng ZHOU
China Medical Equipment 2016;13(1):41-44
Objective:To analyze the significance of equipment custodian routine maintenance work and then offer some suggestion of countermeasure.Methods: Twenty four cases of maintenance cassette sterilizer were divided into test group(12 cases), equipment custodian had been trained; control group (12 cases)has not received training. In addition, we analyzed separately the maintenance work with the risk theory and cost-benefit.Results: The total number of failures in the test group was 13, obviously lower than 32 in the control. The risk of all devices under control, the maintenance of the benefits far outweigh the cost.Conclusion:Training equipment custodian, can reduce the incidence of failure, are worthy of promotion.
2.Quantification of human urine and serum iodine by inductively coupled plasma mass spectrometry
Songlin YU ; Qian CHENG ; Jianhua HAN ; Weiyan ZHOU ; Xinqi CHENG ; Li′an HOU ; Ran GAO ; Wei SU ; Zhi LI ; Ling QIU
Chinese Journal of Laboratory Medicine 2016;39(12):917-921
Objective This paper aims at establishing a inductively coupled plasma mass spectrometry ( ICP-MS) method for quantification and evaluation of iodine in human urine and serum in routine clinical laboratory .Methods This study was methodology validation research on iodine evaluation using ICP-MS.Ammonia, isopropanol and ultrapure water were mixed at certain ratio to dilute samples in the ratio of 1:10, and then the diluted samples were analyzed by ICP -MS.Re was used as the internal standard.And linearity, lower limit of detection, recovery, precision, accuracy, carryover and stability was evaluated thoroughly .Results of iodine of pregnant women who required iodine tests were retrospectively analyzed to evaluate the status of iodine .Results The method only needs 30s for analysis of one sample .It was sensitive with a lower limit detection of 0.87μg/L, the correlation coefficient was higher than 0.999 9 in ten measurements.The recovery in both serum and urine was approximately 100% (95.3% -109.9%). Based on the NIST standard reference material 3668 comparison, the bias was less than 4%( -0.9% -3.9%).The inter-coefficient variation (CV) for serum iodine and urine iodine was 1.2%-3.0%, 2. 0%-2.9%, respectively;and total CV for serum iodine and urine iodine were 3.0%-3.8%, 4.1%-4.9%, respectively.The mean carryover of this method was 0.03% and iodine was stable for at least one month at -20℃ and 4℃.The urine and serum iodine for pregnant women was (154.8 ±89.7) μg/L (mean ±SD),(75.8 ±21.4) μg/L, respectively.The correlation between urine and serum iodine was 0.21. Conclusion Establishe a rapid and simple ICP -MS method for urine and serum iodine measurement with high accurate and precise in routine clinical laboratory .
3.Wandering Minds with Wandering Brain Networks.
Neuroscience Bulletin 2018;34(6):1017-1028
The default mode network (DMN) is associated with the occurrence of mind-wandering or task-unrelated thought. In contrast, the frontal-parietal network (FPN) and visual network (VS) are involved in tasks with external stimuli. However, it is not clear how these functional network interactions support these two different processes - mind-wandering and on-task - especially with regard to individual variation in the mind-wandering experience. In this study, we investigated the functional connectivity and modular structure among the DMN, FPN, and VS. Our results showed that, compared to the on-task period, mind-wandering was associated with increased DMN activity and increased DMN-VS connectivity. Moreover, mind-wandering was accompanied by a large number of transitional nodes, which expressed a diversity of brain regions. Intriguingly, the functional connectivity of the FPN and VS was strongly correlated with individual behavioral performance. Our findings highlight the individual variation of mind-wandering, which implies the importance of other complementary large-scale brain networks.
Adult
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Attention
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physiology
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Brain
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diagnostic imaging
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physiology
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Brain Mapping
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Female
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Humans
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Image Processing, Computer-Assisted
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Intention
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Magnetic Resonance Imaging
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Male
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Models, Neurological
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Oxygen
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blood
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Young Adult
4.Comparison of Six Automated Immunoassays With Isotope-Diluted Liquid Chromatography-Tandem Mass Spectrometry for Total Thyroxine Measurement
Songlin YU ; Weiyan ZHOU ; Xinqi CHENG ; Qinghui MENG ; Honglei LI ; Li'an HOU ; Jun LU ; Shaowei XIE ; Qian CHENG ; Chuanbao ZHANG ; Ling QIU
Annals of Laboratory Medicine 2019;39(4):381-387
BACKGROUND: Accurate serum total thyroxine (TT4) measurement is important for thyroid disorder diagnosis and management. We compared the performance of six automated immunoassays with that of isotope-diluted liquid chromatography-tandem mass spectrometry (ID-LC-MS/MS) as the reference method. We also evaluated the correlation of thyroid stimulating hormone (TSH) with TT4 measured by ID-LC-MS/MS and immunoassays. METHODS: Serum was collected from 156 patients between October 2015 and January 2016. TT4 was measured by immunoassays from Abbott (Architect), Siemens (ADVIA Centaur XP), Roche (E601), Beckman-Coulter (Dxi800), Autobio (Autolumo A2000), and Mindray (CL-1000i), and by ID-LC-MS/MS. Results were analyzed using Passing-Bablok regression and Bland-Altman plots. Minimum requirements based on biological variation were as follows: a mean bias of ≤4.5% and total imprecision (CV) of ≤3.7%. RESULTS: All immunoassays showed a correlation >0.945 with ID-LC-MS/MS; however, the slope of the Passing-Bablok regression line varied from 0.886 (Mindray) to 1.23 (Siemens) and the intercept from −12.8 (Siemens) to 4.61 (Mindray). Only Autobio, Beckman-Coulter, and Roche included the value of one in the 95% confidence interval for slope. The mean bias ranged from −10.8% (Abbott) to 9.0% (Siemens), with the lowest value noted for Roche (3.5%) and the highest for Abbott (−10.8%). Only Abbott and Roche showed within-run and total CV ≤3.7%. CONCLUSIONS: Though all immunoassays correlated strongly with ID-LC-MS/MS, most did not meet the minimum clinical requirement. Laboratories and immunoassay manufacturers must be aware of these limitations.
Bias (Epidemiology)
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Diagnosis
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Humans
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Immunoassay
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Mass Spectrometry
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Methods
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Thyroid Gland
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Thyrotropin
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Thyroxine
5.Comparison of the ability of two artificial intelligence systems based on different training methods to diagnose early gastric cancer under magnifying image-enhanced endoscopy
Yijie ZHU ; Lianlian WU ; Xinqi HE ; Yanxia LI ; Wei ZHOU ; Jun ZHANG ; Xiaoda JIANG ; Honggang YU
Chinese Journal of Digestion 2022;42(7):433-438
Objective:To compare the ability of deep convolutional neural network-crop (DCNN-C) and deep convolutional neural network-whole (DCNN-W), 2 artificial intelligence systems based on different training methods to dignose early gastric cancer (EGC) diagnosis under magnifying image-enhanced endoscopy (M-IEE).Methods:The images and video clips of EGC and non-cancerous lesions under M-IEE under narrow band imaging or blue laser imaging mode were retrospectively collected in the Endoscopy Center of Renmin Hospital of Wuhan University, for the training set and test set for DCNN-C and DCNN-W. The ability of DCNN-C and DCNN-W in EGC identity in image test set were compared. The ability of DCNN-C, DCNN-W and 3 senior endoscopists (average performance) in EGC identity in video test set were also compared. Paired Chi-squared test and Chi-squared test were used for statistical analysis. Inter-observer agreement was expressed as Cohen′s Kappa statistical coefficient (Kappa value).Results:In the image test set, the accuracy, sensitivity, specificity and positive predictive value of DCNN-C in EGC diagnosis were 94.97%(1 133/1 193), 97.12% (202/208), 94.52% (931/985), and 78.91%(202/256), respectively, which were higher than those of DCNN-W(86.84%, 1 036/1 193; 92.79%, 193/208; 85.58%, 843/985 and 57.61%, 193/335), and the differences were statistically significant ( χ2=4.82, 4.63, 61.04 and 29.69, P=0.028, =0.035, <0.001 and <0.001). In the video test set, the accuracy, specificity and positive predictive value of senior endoscopists in EGC diagnosis were 67.67%, 60.42%, and 53.37%, respectively, which were lower than those of DCNN-C (93.00%, 92.19% and 87.18%), and the differences were statistically significant ( χ2=20.83, 16.41 and 11.61, P<0.001, <0.001 and =0.001). The accuracy, specificity and positive predictive value of DCNN-C in EGC diagnosis were higher than those of DCNN-W (79.00%, 70.31% and 64.15%, respectively), and the differences were statistically significant ( χ2=7.04, 8.45 and 6.18, P=0.007, 0.003 and 0.013). There were no significant differences in accuracy, specificity and positive predictive value between senior endoscopists and DCNN-W in EGC diagnosis (all P>0.05). The sensitivity of senior endoscopists, DCNN-W and DCNN-C in EGC diagnosis were 80.56%, 94.44%, and 94.44%, respectively, and the differences were not statistically significant (all P>0.05). The results of the agreement analysis showed that the agreement between senior endoscopists and the gold standard was fair to moderate (Kappa=0.259, 0.532, 0.329), the agreement between DCNN-W and the gold standard was moderate (Kappa=0.587), and the agreement between DCNN-C and the gold standard was very high (Kappa=0.851). Conclusion:When the training set is the same, the ability of DCNN-C in EGC diagnosis is better than that of DCNN-W and senior endoscopists, and the diagnostic level of DCNN-W is equivalent to that of senior endoscopists.