OBJECTIVE:To improve the accuracy of the Cetirizine hydrochloride syrup pediatric dose for children. METH-ODS:The dosage of Cetirizine hydrochloride syrup for children with chronic urticaria was accurately measured and compared with before and after pharmacists’intervention. RESULTS:The dosage before and after pharmacists’intervention was significantly high-er than prescribed dosage,the dosage after intervention was lower than before intervention,the differences were statistically signifi-cant(P<0.05). CONCLUSIONS:It is commonly existed that the dosage to children is higher than the prescribed dosage. It is sug-gested that doctors should strictly follow the printed label to make a prescription,pharmacists should strengthen the guidance and in-tervention on medication,and pharmaceutical manufacturers can manufacture suitable Cetirizine hydrochloride preparations special-ly for children to improve drug compliance and dosage accuracy.

Objective To prepare sorafenib (SFN )/mesoporous silica solid dispersion (SD) and investigate characteris-tics in vitro and in vivo .Methods The SD was prepared by solvent evaporation method ;the optimal ratio of SFN to meso-porous silica was determined by examining the dissolution of formula ,the drug state and physical stability of SD were examined by DSC and XRD ;the surface morphology was characterized by electron microscope ;the pharmacokinetics of SD was studied for the solid dispersion which compared with SFN powders in vivo study using rats .Results SFN raw drug was crystalline and its dissolution was <10% ;the dissolution of SD increased with an increase in amount of mesoporous silica ;when the ratio of SFN to mesoporous silica was 1∶5 ,drug in SD was non-crystalline state and the dissolution was >90% .The physical state and dissolution of SFN in SD were hardly changed during the six months accelerated test .The cmax of SD groupwas 1 .8 times that of powder group ,relative bioavailability was 175% .Conclusion The physical stability of self-preparing solid dispersions is good ,the dissolution and oral absorption are improved by solid dispersion .

Objective:To investigate the brain characteristics of chronic schizophrenia by voxel-mirrored homotopic connectivity (VMHC).Methods:Forty seven patients with chronic schizophrenia from Tianjin Anding Hospital and 31 healthy controls from nearby communities were included in the study. The MRI data of the subjects were collected by Siemens Skyra 3.0 T MRI.Positive and negative symptoms scale (PANSS) was used to assess the illness severity of patients with chronic schizophrenia.SPM12 was used to process the collected MRI data. DPARSF was used to calculate the VMHC values of subjects in the two groups. The independent sample t test based on SPM12 was used to compare the VMHC values of the two groups. The significant brain regions in VMHC were regarded as regions of interest (ROI), and VBM8 was used to further analyze the gray matter volume of the ROI of the two groups. Results:Compared with healthy controls, the patients with chronic schizophrenia demonstrated decreased VMHC mainly located in lingual gyrus(voxel=208, T=4.98), occipital middle occipital gyrus(voxel=156, T=3.75) and postcentral gyrus(voxel=237, T=4.36) (FDR correction, q=0.05). Compared with healthy controls, the gray matter volumes in bilateral lingual gyrus(left(0.0034±0.0008), (0.0028±0.0013), t=-2.141, P=0.037; right(0.0025±0.0006), (0.0020±0.0011), t=2.268, P=0.028) and postcentral gyrus((0.0432±0.0051), (0.0372±0.0162), t=-2.070, P=0.045) increased, but non-significant change in postcentral gyrus of the patients with chronic schizophrenia. Conclusion:The abnormal VMHC mainly locate in lingual gyrus, middle occipital gyrus and postcentral gyrus in patients with chronic schizophrenia.

Objective:To establish a three-dimensional (3D) U-net-based deep learning model, and to predict the 3D dose distribution in CT-guided cervical cancer brachytherapy by using the established model.Methods:The brachytherapy plans of 114 cervical cancer cases with a prescription dose of 6 Gy for each case were studied. These cases were divided into training, validation, and testing groups, including 84, 11, and 19 patients, respectively. A total of 500 epochs of training were performed by using a 3D U-net model. Then, the dosimetric parameters of the testing groups were individually evaluated, including the mean dose deviation (MDD) and mean absolute dose deviation (MADD) at the voxel level, the Dice similarity coefficient (DSC) of the volumes enclosed by isodose surfaces, the conformal index (CI) of the prescription dose, the D90 and average dose Dmean delivered to high-risk clinical target volumes (HR-CTVs), and the D1 cm 3 and D2 cm 3 delivered to bladders, recta, intestines, and colons, respectively. Results:The overall MDD and MADD of the 3D dose matrix from 19 cases of the testing group were (-0.01 ± 0.03) and (0.04 ± 0.01) Gy, respectively. The CI of the prescription dose was 0.70 ± 0.04. The DSC of 50%-150% prescription dose was 0.89-0.94. The mean deviation of D90 and Dmean to HR-CTVs were 2.22% and -4.30%, respectively. The maximum deviations of the D1 cm 3 and D2 cm 3 to bladders, recta, intestines, and colons were 2.46% and 2.58%, respectively. The 3D U-net deep learning model took 2.5 s on average to predict a patient′s dose. Conclusions:In this study, a 3D U-net-based deep learning model for predicting 3D dose distribution in the treatment of cervical cancer was established, thus laying a foundation for the automatic design of cervical cancer brachytherapy.

Objective:To provide a basis for selecting the optimization method for intracavitary/interstitial brachytherapy (IC/ISBT) of cervical cancer by comparing graphical optimization (GO), inverse planning simulated annealing (IPSA), and hybrid inverse planning optimization (HIPO) using dosimetric and radiobiological models.Methods:This study selected 65 patients with cervical cancer who were treated with image-guided IC/ISBT. The afterloading therapy plans for these patients were optimized using GO, IPSA, and HIPO individually, with a prescription dose high-risk clinical target volume (HRCTV) D90 of 6 Gy. The non-parametric Friedman test and the non-parametric Wilcoxon rank test were employed to analyze the differences in duration, dose-volume parameters, and radiobiology between the three types of optimized plans. Results:Inverse planning optimization (IPSA: 46.53 s; HIPO: 98.36 s) took less time than GO (135.03 s). In terms of gross target volume (GTV) dose, the high-dose irradiation V150% (53.66%) was slightly higher in the HIPO-optimized plans, while the V200% (30.29%) was higher in the GO-optimized plans. The GO-optimized plans had a higher conformity index (CI; 0.91) than other plans, showing statistically significant differences. Compared with other plans, the HIPO-optimized plans showed the lowest doses of D1 cm 3 and D2 cm 3 at bladders and rectums and non-statistically significant doses at small intestines ( P > 0.05). In terms of the equivalent uniform biologically effective dose (EUBED) for HRCTV, the HIPO-optimized plans showed a higher value (12.35 Gy) than the GO-optimized plans (12.23 Gy) and the IPSA-optimized plans (12.13 Gy). Moreover, the EUBED at bladders was the lowest (2.38 Gy) in the GO-optimized plans, the EUBED at rectums was the lowest (3.74 Gy) in the HIPO-optimized plans, and the EUBED at small intestines was non-significantly different among the three types of optimized plans ( P = 0.055). There was no significant difference in the tumor control probability (TCP) predicted using the three types of optimized plans ( P > 0.05). The normal tissue complication probabilities (NTCPs) of bladders and rectums predicted using the HIPO-optimized plans were lower than those predicted using the GO- and IPSA-optimized plans( χ2 = 12.95-38.43, P < 0.01), and the NTCP of small intestines did not show significant differences ( P > 0.05). Conclusions:Among the three types of optimization algorithms, inverse optimization takes less time than GO. GO-optimized plans are more conformal than IPSA- and HIPO-optimized plans. HIPO-optimized plans can increase the biological coverage dose of the target volume and reduce the maximum physical/biological exposure and NTCP at bladders and rectums. Therefore, HIPO is recommended preferentially as an optimization algorithm for IC/ISBT for cervical cancer.