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Objective To explore the feasibility of harmonic waves analysis for observing morphological brain network changes in patients with depressive disorder(DD).Methods Whole brain 3D high resolution T1WI of 55 DD patients(DD group)and 46 normal controls(NC group)were acquired.Six kinds of morphological features brain network were constructed with FreeSurfer tool,including the number of brain region vertices,surface area,gray matter volume,average cortical thickness,Gaussian curvature and fold index.Laplace operator was applied to obtain common harmonic wave.The harmonic power of different morphological features and the gray matter volume in different brain regions were compared between groups.Results No significant difference of total harmonic energy was found between groups.The specific harmonic wave energies were significantly different between groups,including the number of brain region vertices corresponding to the 2nd,6th,15th,44th and 57th harmonic waves,surface area corresponding to the 2nd,6th,16th and 57th harmonic waves,gray matter volume corresponding to the 2nd,12th,13th,15th and 57th harmonic waves,average cortical thickness corresponding to the 2nd,19th,35th,36th and 44th harmonic waves,Gaussian curvature corresponding to the 34th,40th,54th and 57th harmonic waves,as well as fold index corresponding to the 5th,16th,21st and 57th harmonic waves.Gray matter volumes of transverse temporal gyrus in left hemisphere in DD group were significantly larger than that in NC group(t=2.900,P=0.004).Conclusion Harmonic waves analysis was feasible for observing morphological brain network changes in DD patients.
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OBJECTIVE:To provide reference for the c onstruction of subject diagnosis and treatment scheme in drug clinical trials. METHODS :The subject diagnosis and treatment module was developed and implemented in our hospital on the basis of CTMS,and its effects were evaluated. RESULTS :A subject diagnosis and treatment module was established in CTMS of our hospital. Within one year from the launch of the module in the middle of October ,2019,the overall number of subjects in the group showed an increasing trend ,and the overall mean dropout rate of subjects was 0.16%. The data interface of CTMS system , hospital information system (HIS),laboratory information management system ,medical imaging information system had been established,so as to realize the synchronization of subject information (displaying subject identification in HIS system )and the interaction of diagnosis and treatment information and billing data (patients and subjects were charged separately ). Since the launch of the module ,the amount of data generated by the interface had been increasing ,and the number of departments producing the subject diagnosis and treatment business had been increasing month by month. Compared with subject diagnosis and treatment project based on HIS system ,the number of subject diagnosis and treatment business based on CTMS system was increased significantly(P<0.05). CONCLUSIONS :The subject diagnosis and treatment module based on CTMS improves the efficiency of subject diagnosis and treatment project implementation and financial settlement ,and realizes the efficient implementation of drug clinical trial projects in large general hospitals.
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Objective:To compare the effect of posterolateral plate and anterolateral locking plate in surgical treatment for extra-articular distal humeral shaft fractures.Methods:A retrospective case-control study was made on 52 patients with extra-articular distal humeral shaft fractures admitted in Tianjin Hospital from January 2014 to October 2016. There were 32 males and 20 females, with the age from 18 to 56 years [(36.9±10.9)years]. According to the AO/OTA classification, there were 15 patients with type A, 32 type B, and 5 type C. Twenty-three patients were treated with osterolateral locking plate (Group A) and 29 with anterolateral locking plate (Group B). Operation time, bone union time, range of motion of the elbow, Mayo elbow performance score and complication rate were evaluated.Results:All patients were followed up for 12-20 months [(13.7±2.2)months]. Operation time was (79.8±9.6)minutes in Group A and (85.0±11.6)minutes in Group B ( P>0.05). Bone union time was (4.1±1.0)months in Group A and (4.1±1.0)months in Group B ( P>0.05). Degrees of elbow extension was 3.9°(0.0°, 5.0°) in Group A, and 4.4°(0.0°, 5.0°) in Group B ( P>0.05). Degrees of elbow flexion was 127.4°(125.0°, 132.50°) in Group A and 128.5°(122.5°, 132.5°) in Group B ( P>0.05). Mayo elbow performance score was 91.0 (90.0, 93.5) points in Group A and 90.2 (90.0, 92.5)points in Group B ( P>0.05). Radial nerve damage was noted after operation, showing no significant difference between two groups [2 patients (9%) in Group A and 3 patients (10%) in Group B] ( P>0.05), and the symptoms were recovered in all patients within 3 months. Conclusions:Both the posterolateral and anterolateral locking plate are effective in surgical treatment for extra-articular distal humeral shaft fractures. However, the posterolateral plate can be placed closer to the distal end of the humerus and the multi-directional locking design is more stable, which has advantages for the patient with fracture line close to the elbow joint.
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In order to improve the precision and robustness in determination of soluble solids content ( SSC) of ‘Fuji ’ apple by NIR spectroscopy and eliminate the effect of origin variability on the accuracy of NIR calibration models for the SSC, sample set partitioning based on joint x-y distances ( SPXY) was used to select representative subset from the apple samples of 4 different origins. As a comparison, partial least square ( PLS) was used to establish local origin and hybrid origin models for the prediction of SSC in apple. Competitive adaptive reweighted sampling ( CARS ) and successive projections algorithm ( SPA ) were implemented to select effective variables of the NIR spectroscopy of SSC of apple. The results indicated that the PLS model established based on the 4 origin apple samples performed better than local origin and other hybrid origin models. The model could be effectively simplified using 16 characteristic variables selected by CARS-SPA method from full-spectrum which had 3112 wavelengths. The correlation coefficient (Rp) and root mean square error of prediction (RMSEP) were 0. 978 and 0. 441 oBrix, respectively for SSC. It was found that the model developed by more samples of different origins combined with effective wavelengths showed good prediction ability for apple sample of unknown origin, which indicated that it could significantly reduce the origin effect on the robustness of NIR models for SSC of apple.