Pulmonary and Critical Care Medicine (PCCM), Quanzhou First Hospital, Quanzhou, 362000 Fujian, China.
Hospital Infection-Control Office, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000 Fujian, China.
Comput Math Methods Med. 2021 Nov 18;2021:1101930. doi: 10.1155/2021/1101930. eCollection 2021.
The study was aimed at exploring the application value of the CT image based on a filtered back projection (FBP) algorithm in the diagnosis of patients with diabetes complicated with tuberculosis and at analyzing the influence of dietary nursing on patients with diabetes complicated with tuberculosis. In this study, the FBP algorithm was used to optimize CT images to effectively obtain reconstructed ROI images. Then, the deviation from measurement values of reconstructed images at different pixel levels was analyzed. 138 patients with diabetes complicated with tuberculosis were selected as research subjects to compare the number of lung segments involved and the CT imaging manifestations at different fasting glucose levels. All patients were divided into the control group (routine drug treatment) and observation group (diet intervention on the basis of drug treatment) by random number table method, and the effect of different nursing methods on the improvement of patients' clinical symptoms was discussed. The results showed that the distance measurement value decreased with the increase in pixel level, there was no significant difference in the number of lung segments involved in patients with different fasting glucose levels ( > 0.05), and there were statistically significant differences in the incidence of segmental lobar shadow, bronchial air sign, wall-less cavity, thick-walled cavity, pulmonary multiple cavity, and bronchial tuberculosis in patients with different fasting glucose levels ( < 0.05). Compared with the control group, 2 h postprandial blood glucose level in the observation group was significantly improved ( < 0.05), there was a statistical significance in the number with reduced pleural effusion and the number with reduced tuberculosis foci in the two groups ( < 0.05), and the level of hemoglobin in the observation group was 7.1 ± 1.26, significantly lower than that in the control group (8.91 ± 2.03, < 0.05). It suggested that the changes of CT images based on the FBP reconstruction algorithm were correlated with fasting blood glucose level. Personalized diet nursing intervention can improve the clinical symptoms of patients, which provides a reference for the clinical diagnosis and treatment of patients with diabetes complicated with tuberculosis.
本研究旨在探讨基于滤波反投影（FBP）算法的 CT 图像在糖尿病合并肺结核患者诊断中的应用价值，并分析饮食护理对糖尿病合并肺结核患者的影响。本研究采用 FBP 算法对 CT 图像进行优化，有效获得重建 ROI 图像。然后，分析不同像素水平重建图像测量值的偏差。选择 138 例糖尿病合并肺结核患者作为研究对象，比较不同空腹血糖水平患者的肺段受累数和 CT 影像学表现。所有患者均采用随机数字表法分为对照组（常规药物治疗）和观察组（药物治疗基础上的饮食干预），并探讨不同护理方法对改善患者临床症状的效果。结果显示，距离测量值随像素水平的增加而减小；不同空腹血糖水平患者肺段受累数无显著差异（>0.05）；不同空腹血糖水平患者的节段性肺叶阴影、支气管充气征、薄壁空洞、厚壁空洞、肺部多发空洞和支气管结核的发生率有统计学差异（<0.05）。与对照组相比，观察组餐后 2 小时血糖水平明显改善（<0.05），两组胸腔积液减少例数和结核灶减少例数差异有统计学意义（<0.05），观察组血红蛋白水平为 7.1±1.26，明显低于对照组（8.91±2.03，<0.05）。提示基于 FBP 重建算法的 CT 图像变化与空腹血糖水平相关。个性化饮食护理干预可以改善患者的临床症状，为糖尿病合并肺结核患者的临床诊断和治疗提供参考。
