长冠状病毒:与无症状患者相比,有症状个体的通气和灌注减少——一项V/Q扫描研究

IF 2.5 4区 计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Jose Carlos Nóbrega Júnior, Simone Soares Brandão, James B. Fink, Daiara Xavier, Roberta Torres, Arzu Ari, Caio Morais, Shirley Campos, Daniella Brandão, Armèle Dornelas de Andrade
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引用次数: 0

摘要

肺功能障碍是COVID-19的常见后遗症,即使在康复后也会对肺功能产生长期影响。传统的成像方法,如计算机断层扫描(CT)和x射线往往不能检测到细微的功能损伤。相比之下,通气和灌注显像(V/Q显像)提供了对局部通气和灌注异常的敏感评估,揭示了解剖成像遗漏的功能变化。比较有症状和无症状感染者肺部放射性药物的区域分布。采用横断面研究方法,将33例新冠肺炎感染者按症状严重程度分为无症状组(n = 10)和有症状组(n = 23)。采用锝-99m放射性药物(99mTc-DTPA通气,99mTc-MAA灌注)进行通气和灌注显像。肺放射性药物活性量化使用区域感兴趣(roi)在中央和外围区和上,中,下区域。与无症状患者相比,有症状患者各肺区放射性药物活性明显降低(p < 0.05)。灌注分析显示,无症状组肺总放射性药物计数(中位数[IQR]: 1046.94 [447.41] Kct)明显高于有症状组(765.66 [269.94]Kct, p = 0.002)。左肺区无明显差异。通气期肺总计数随着病情严重程度的增加而逐渐减少。极端情况(无症状与严重)的比较显示肺计数减少近50%。两组间肺放射性药物活性差异显著,有症状的患者通气和灌注功能降低。这些发现强调了先进技术对covid -19后患者的监测和个性化康复的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Long COVID: Ventilation and Perfusion Are Reduced in Symptomatic Individuals Compared to Asymptomatic Patients—A V/Q Scintigraphy Study

Long COVID: Ventilation and Perfusion Are Reduced in Symptomatic Individuals Compared to Asymptomatic Patients—A V/Q Scintigraphy Study

Pulmonary dysfunction is a common sequel of COVID-19, with long-term effects on lung function even after recovery. Traditional imaging methods like computed tomography (CT) and X-ray often fail to detect subtle functional impairments. In contrast, ventilation and perfusion scintigraphy (V/Q scintigraphy) provide a sensitive assessment of regional ventilatory and perfusion abnormalities, revealing functional changes missed by anatomical imaging. To compare the regional pulmonary distribution of radiopharmaceuticals in symptomatic and asymptomatic post-COVID-19 individuals. A cross-sectional study was conducted with 33 post-COVID-19 individuals, categorized into asymptomatic (n = 10) and symptomatic groups (n = 23), classified according to symptom severity. Ventilation and perfusion scintigraphy were performed using technetium-99m radiopharmaceuticals (99mTc-DTPA for ventilation and 99mTc-MAA for perfusion). Pulmonary radiopharmaceutical activity was quantified using Regions of Interest (ROIs) in central and peripheral zones and upper, middle, and lower regions. Symptomatic patients showed significantly lower radiopharmaceutical activity in all pulmonary regions compared to asymptomatic participants (p < 0.05). Perfusion analysis revealed significantly higher total lung radiopharmaceutical counts in asymptomatic individuals (Median [IQR]: 1046.94 [447.41] Kct) compared to symptomatic individuals (765.66 [269.94] Kct, p = 0.002). No significant differences were found in the left lung regions. The total pulmonary count during the ventilation phase progressively decreases as disease severity increases. The comparison between the extremes (asymptomatic vs. severe) reveals a nearly 50% reduction in pulmonary counts. Significant differences in pulmonary radiopharmaceutical activity were observed between groups, with reduced ventilatory and perfusion functionality in symptomatic patients. These findings underscore the importance of advanced techniques for monitoring and individualized rehabilitation of post-COVID-19 patients.

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来源期刊
International Journal of Imaging Systems and Technology
International Journal of Imaging Systems and Technology 工程技术-成像科学与照相技术
CiteScore
6.90
自引率
6.10%
发文量
138
审稿时长
3 months
期刊介绍: The International Journal of Imaging Systems and Technology (IMA) is a forum for the exchange of ideas and results relevant to imaging systems, including imaging physics and informatics. The journal covers all imaging modalities in humans and animals. IMA accepts technically sound and scientifically rigorous research in the interdisciplinary field of imaging, including relevant algorithmic research and hardware and software development, and their applications relevant to medical research. The journal provides a platform to publish original research in structural and functional imaging. The journal is also open to imaging studies of the human body and on animals that describe novel diagnostic imaging and analyses methods. Technical, theoretical, and clinical research in both normal and clinical populations is encouraged. Submissions describing methods, software, databases, replication studies as well as negative results are also considered. The scope of the journal includes, but is not limited to, the following in the context of biomedical research: Imaging and neuro-imaging modalities: structural MRI, functional MRI, PET, SPECT, CT, ultrasound, EEG, MEG, NIRS etc.; Neuromodulation and brain stimulation techniques such as TMS and tDCS; Software and hardware for imaging, especially related to human and animal health; Image segmentation in normal and clinical populations; Pattern analysis and classification using machine learning techniques; Computational modeling and analysis; Brain connectivity and connectomics; Systems-level characterization of brain function; Neural networks and neurorobotics; Computer vision, based on human/animal physiology; Brain-computer interface (BCI) technology; Big data, databasing and data mining.
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