TY - Jour A2 - 山，彭飞奥 - 陆，山奥 - 兴，志峰奥钊，石宇奥梦，湘路奥阳，朱宏奥鼎，文龙奥 - 王，jigong au - huang，chencui au- 徐，京旭奥昌，宝代奥申，君PY - 2021DA - 2021/03/14 - 基于人工智能定量法SP的Covid-19肺炎患者的T2DM和NDM患者的胸部CT图像不同外观- 6616069 VL - 2021 AB - Covid-19是一种具有新的冠状病毒感染的肺炎，并且Covid-19糖尿病患者死亡风险比健康人群高4倍。目前尚不清楚2型糖尿病（T2DM）和非糖尿病（NDM）Covid-19患者之间是否存在胸部CT图像差异。本研究的目的是研究基于人工智能定量方法的Covid-19与Covid-19之间T2DM和NDM患者之间的胸部CT图像的差异。回顾性地注册了62例Covid-19肺炎患者，分为A组（T2DM Covid-19肺炎组， N. = 15) and group B (NDM COVID-19 pneumonia group, N. = 47). The clinical and laboratory examination information of the two groups was collected. Quantitative features (volume of consolidation shadows and ground glass shadows, proportion of consolidation shadow (or ground glass shadow) to lobe volume, total volume, total proportion, and number) of chest spiral CT images were extracted using Dr. Wise @Pneumonia software. The results showed that among the 26 CT image features, the total volume and proportion of bilateral pulmonary consolidation shadow in group A were larger than those in group B ( P. = 0.031 和0.019分别）;两组之间的双侧肺磨玻璃密度阴影的总体积和比例没有显着差异（ P. > 0.05 ）。在A组中，血糖水平与固结阴影的体积和固结阴影的比例与右中叶体积的比例相关，高于B组中那些患者的患者。总之，Covid-19的肺部炎症渗出糖尿病患者比没有糖尿病的患者更严重，基于人工智能的定量方法。此外，血糖水平与Covid-19患者的肺炎症渗透呈正相关。SN - 1687-8337 UR - https://doi.org/10.1155/2021/6616069 do - 10.1155 / 2021/6616069 jf - 国际内分泌杂志Pb - Hindawi Kw - ER -