Objective To evaluate the clinical effectiveness and safety of compound loratadine capsule in the treatment of allergic rhinitis. Methods A multi-center randomized single blind controlled trial (by using a random number table generated random sequence and the sequence was concealed by sealed envelopes) was designed. Two hundred and forty outpatients with allergic rhinitis who met the inclusion and exclusion criteria were randomized to the treatment group (n=120 with compound loratadine capsule, 1 capsule q 24 h) or the control group (n=120 with loratadine tablet, 1 tablet q 12 h). All patients were given standard therapy. Results ① At the end of the treatment, in the compound loratadine group, 101 patients completed the study, and 19 patients withdrew. In the loratadine group, 103 patients completed the study, 17 patients withdrew. According to intention-to-treat analysis (ITT), the improvement rates of the treatment and control groups were 89.17% (107/120) and 88.33% (106/120) respectively. No significant difference was seen between the two groups (rank sum test, u=-1.8348, P＞0.05). According to per-protocol analysis (PP), the improvement rates of the treatment and control groups were 96.04% (97/101) and 91.26% (94/103) respectively. No significant difference was seen between the two groups (rank sum test, u=-1.625 7, P＞0.05). ② Adverse events were slight to moderate.The adverse event rates were 22.5% (27/120) and 21.67% (26/120) in the treatment and control groups respectively. No significant difference was seen between the two groups ( χ2 test, P＞0.05). Conclusion Compound loratadine capsule is effective and safe for allergic rhinitis.
The accurate position of the center of rotation (COR) is a key factor to ensure the quality of computed tomography (CT) reconstructed images. The classic cross-correlation matching algorithm can not satisfy the requirements of high-quality CT imaging when the projection angle is 0 and 180°, and thus needs to be improved and innovated. In this study, considering the symmetric characteristic of the 0° and flipped 180° projection data in sinogram, a novel COR correction algorithm based on the translation and match of the 0° and 180° projection data was proposed. The OTSU method was applied to reduce noise on the background, and the minimum offset of COR was quantified using the L1-norm, and then a precise COR was obtained for the image correction and reconstruction. The Sheep-Logan simulation model with random gradients and Gaussian noise and the real male SD rats samples which contained the heterogenous tooth image and the homogenous liver image, were adopted to verify the performance of the new algorithm and the cross-correlation matching algorithm. The results show that the proposed algorithm has better robustness and higher accuracy of the correction (when the sampled data is from 10% to 50% of the full projection data, the COR value can still be measured accurately using the proposed algorithm) with less computational burden compared with the cross-correlation matching algorithm, and it is able to significantly improve the quality of the reconstructed images.