Zhang Zuopeng, Cao Zanfeng, Wu Zhixin, Yang Zhanzheng, Nie Huiyi, Chen Xiaoying, Deng Fangge
Department of Emergency, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, P.R. China.
Nanshan college, Guangzhou Medical University, Guangzhou, 511400, P.R. China.
Sci Rep. 2025 Aug 10;15(1):29278. doi: 10.1038/s41598-025-15123-4.
To explore the value of infrared thermal imaging technology in the diagnosis of emergency pulmonary infections. 200 patients who received emergency treatment at our hospital from October 2020 to December 2021 were selected as the study subjects. General information was collected from all patients, including 108 patients with acute pulmonary infection and 92 patients without pulmonary infection. All patients were tested using infrared thermal imaging technology and infrared thermal imaging equipment, with X-ray examination as the gold standard, The chest X-ray scan was performed using an X-ray camera produced by Siemens, and the temperature difference between the affected areas detected by infrared thermal imaging technology in two groups of patients was compared. The detection rate of infrared thermal imaging in the lung infection group was analyzed, and the diagnostic efficacy was evaluated by plotting the ROC curve to calculate the area under the curve. Compared with the uninfected group, the infrared radiation temperature of the infected group was significantly increased in the body surface, chest, abdomen, bilateral lungs, and midpoint of the breasts, with a statistically significant difference (P < 0.05). The positive rate of infrared thermal imaging detection in the lung infection group was 93 cases (86.11%), and the positive rate of gold standard X-ray detection was 102 cases (94.44%), the difference is statistically significant (P < 0.05). The AUC value of infrared thermal imaging technology for detecting emergency pulmonary infection patients is 0.933, the sensitivity is 90.36%, the specificity is 92.28%, and the Jordan index is 0.92. Infrared thermography has important applications in the diagnosis of lung infections in emergency medicine.It can reflect the distribution range of abnormal hot spots in patients' lung infections by evaluating temperature changes, and has good diagnostic value in clinical practice.
探讨红外热成像技术在急诊肺部感染诊断中的价值。选取2020年10月至2021年12月在我院接受急诊治疗的200例患者作为研究对象。收集所有患者的一般资料,其中急性肺部感染患者108例,无肺部感染患者92例。所有患者均采用红外热成像技术及红外热成像设备进行检测,以X线检查作为金标准,胸部X线扫描采用西门子公司生产的X线摄影机,比较两组患者经红外热成像技术检测出的患部温差。分析肺部感染组红外热成像的检出率,并绘制ROC曲线计算曲线下面积以评估诊断效能。与未感染组相比,感染组体表、胸部、腹部、双侧肺部及乳房中点的红外辐射温度明显升高,差异有统计学意义(P<0.05)。肺部感染组红外热成像检测阳性率为93例(86.11%),金标准X线检测阳性率为102例(94.44%),差异有统计学意义(P<0.05)。红外热成像技术检测急诊肺部感染患者的AUC值为0.933,灵敏度为90.36%,特异度为92.28%,约登指数为0.92。红外热成像在急诊医学肺部感染诊断中有重要应用。它可通过评估温度变化反映患者肺部感染异常热点的分布范围,在临床实践中有良好的诊断价值。