OBJECTIVE:To explore the effectiveness and safety of pranoprofen combined with sodium hyaluronate in the treat-ment of moderate and severe dry eyes. METHODS:180 patients with moderate and severe dry eyes were divided into observation group and control group by random number table method,with 90 cases in each group. Control group was given Sodium hyaluro-nate eye drops,one drop each time,tid,and received physical therapy as cleaning eyelid,hot compress and glandulae tarsales mas-sage. Observation group was additionally given Pranoprofen eye drops,one drop each time,tid. A treatment course lasted for 2 weeks. The monocular corneal fluorescence staining score,break-up time of tear film(BUT),dry eye symptom scores,ShirmerⅠtest (SIT) before and after treatment,clinical efficacy and ADR were compared between 2 groups. RESULTS:2,4 weeks after treatment,monocular corneal fluorescence staining scores and dry eye symptom scores of 2 groups were significantly lower than be-fore treatment;BUT and SIT were significantly longer than before;those indexes after 4 weeks of treatment were significantly bet-ter than after 2 weeks of treatment;those indexes of observation group after 2,4 weeks of treatment were significantly better than those of control group at the same time,with statistical significance (P<0.05). The total effective rate of observation group was 94.44%,which was significantly higher than that of control group(78.89%),with statistical significance(P<0.05). Both groups suffered from eye irritation symptom to different extent,and no other severe complications was found. There was no statistical sig-nificance in eye irritation symptom score between 2 groups(P>0.05). CONCLUSIONS:For moderate and severe dry eyes,prano-profen combined with sodium hyaluronate can effectively control ocular inflammation and improve tear film stability. It shows defi-nite therapeutic efficacy and good safety.

To realize the accurate positioning and quantitative volume measurement of tumor in head and neck tumor CT images, we proposed a level set method based on augmented gradient. With the introduction of gradient information in the edge indicator function, our proposed level set model is adaptive to different intensity variation, and achieves accurate tumor segmentation. The segmentation result has been used to calculate tumor volume. In large volume tumor segmentation, the proposed level set method can reduce manual intervention and enhance the segmentation accuracy. Tumor volume calculation results are close to the gold standard. From the experiment results, the augmented gradient based level set method has achieved accurate head and neck tumor segmentation. It can provide useful information to computer aided diagnosis.
Diagnosis, Computer-Assisted ; Head and Neck Neoplasms ; pathology ; Humans ; Tomography, X-Ray Computed ; Tumor Burden