Evidence map›Paper›PMID 40784954›Full record

ArticleScientific reports2025

Analysis of the value of infrared thermal imaging technology in the diagnosis of emergency pulmonary infections.

Zuopeng Zhang, Zanfeng Cao, Zhixin Wu, Zhanzheng Yang, Huiyi Nie, Xiaoying Chen, Fangge Deng

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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Zuopeng Zhang *Department of Emergency, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, P.R. China.
Zanfeng Cao *Department of Emergency, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, P.R. China.
Zhixin WuNanshan college, Guangzhou Medical University, Guangzhou, 511400, P.R. China.
Zhanzheng YangDepartment of Emergency, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, P.R. China.
Huiyi NieNanshan college, Guangzhou Medical University, Guangzhou, 511400, P.R. China.
Xiaoying ChenDepartment of Emergency, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, P.R. China.
Fangge DengGuangzhou Institution of Respiratory Health, National Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, The First Affiliated Hospital of Guangzhou Medical University, 151 Yanjiang Xi Lu, Yuexiu District, Guangzhou City, 510120, Guangdong Province, P.R. China. xzw2019_2@163.com.

Funding

Accurate localization, qualitative and quantitative study of infrared thermal imaging in patients with acute upper respiratory tract infection A2018305Expression analysis and clinical grading of cobra bite wound by infrared thermal imaging (National Innovation and Entrepreneurship Training Program Project for College Students) 202010570004
6 · The paper itself

Abstract

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.

Indexed as

Respiratory Tract InfectionsThermographyAdultAgedFemaleHumansInfrared RaysLungMaleMiddle AgedROC CurveDiagnostic valueEmergency pulmonary infectionInfrared thermal imaging technology

Identifiers

PMID40784954
PMCPMC12336340

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