人工智能定量肺部病变体积与重型新冠病毒感染患者预后的相关性分析  

Correlation of Lung Lesion Volume Measurement Using Artificial Intelligence and Prognosis of Patients with Severe Coronavirus Disease 2019 Infection

作　　者：贺燕林 徐长荣 乌力吉 柴军 HE Yanlin;XU Changrong;WU Liji;CHAI Jun(Department of Medical Imaging,Inner Mongolia Autonomous Region People's Hospital,Hohhot 010017,China;Department of hematology,Inner Mongolia Autonomous Region People's Hospital,Hohhot 010017,China;Department of Imaging,The Fourth Hospital of Inner Mongolia Autonomous Region,Hohhot 010010,China)

机构地区：[1]内蒙古自治区人民医院医学影像科,呼和浩特010017 [2]内蒙古自治区人民医院血液科,呼和浩特010017 [3]内蒙古自治区第四医院影像科,呼和浩特010010

出　　处：《CT理论与应用研究（中英文）》2023年第3期331-338,共8页Computerized Tomography Theory and Applications

基　　金：2022年度内蒙古自治区卫生健康科技计划项目(超高分辨率CT靶扫描技术联合低剂量对诊断亚实性肺结节的价值(202201015));内蒙古自治区人民医院院内基金项目(基于深度学习的病毒性肺炎不同临床转归胸部CT评价(2020YN08))。

摘　　要：目的:分析肺部病变体积及伴发基础疾病与重型新冠病毒感染(COVID-19)患者预后的相关性。方法:回顾2022年12月8日至2023年1月31日136例重型COVID-19患者,通过人工智能(AI)定量肺部病变体积、收集伴发基础疾病及实验室检查,分析其对重型COVID-19预后的影响。结果:重症COVID-19不同预后两组比较显示:年龄、低蛋白血症、脑卒中、乳酸脱氢酶、血尿素氮(BUN)、凝血酶原时间、白蛋白、白细胞、淋巴细胞比值、中性粒细胞比值、C反应蛋白、D-二聚体、全肺病灶体积(TLLV)和全肺病灶体积占比(PTLLV)两组之间差异有显著意义,年龄、PTLLV、TLLV、BUN、白细胞与预后不良呈正相关,白蛋白与预后不良呈负相关。结论:年龄越大、TLLV及PTLLV越大,重型COVID-19患者越容易出现预后不良,BUN、白细胞等指标增加以及白蛋白减少是重型COVID-19患者预后不良的危险因素。Objective:To analyze the correlation between lung lesion volume and associated underlying diseases and prognosis of patients with severe coronavirus disease infection(COVID-19).Method:We reviewed 136 patients with severe COVID-19 in our hospital from December 8,2022 to January 31,2023.We measured the volume of lung lesions using artificial intelligence(AI),collected concomitant basic disease data and laboratory tests,and analyzed their impact on the prognosis of severe COVID-19.Results:The difference in the different prognoses of severe COVID-19,such as age,hypoproteinemia,stroke,lactate dehydrogenase,blood urea nitrogen(BUN),prothrombin time,albumin,leukocyte,lymphocyte ratio,neutrophil ratio,C-reactive protein,D-dimer,total lung lesion volume(TLLV),and percentage of total lung lesion volume(PTLLV),between the two groups was significant.Age,TLLV,PTLLV,BUN,and white blood cells were positively correlated with poor prognosis,while albumin was negatively correlated with poor prognosis.Conclusion:The older,the larger TLLV and PTLLV are,the more likely the patients with severe COVID-19 will have poor prognosis.The increase in indicators,such as BUN and white blood cells,and decrease in albumin are the risk factors for poor prognosis of the patients with severe COVID-19.

关 键 词：人工智能 新型冠状病毒感染 肺部病灶体积 

分 类 号：O242[理学—计算数学] R563.1[理学—数学]