Suppr超能文献

新冠后长期肺部后遗症的影像学与临床关联

Radiologic and Clinical Correlates of Long-Term Post-COVID-19 Pulmonary Sequelae.

作者信息

Durak Gorkem, Akin Kaan, Cetin Okan, Uysal Emre, Aktas Halil Ertugrul, Durak Ulku, Karkas Ahmet Yasin, Senkal Naci, Savas Hatice, Tunaci Atadan, Medetalibeyoglu Alpay, Bagci Ulas, Erturk Sukru Mehmet

机构信息

Machine & Hybrid Intelligence Lab, Department of Radiology, Northwestern University, Chicago, IL 60611, USA.

Department of Internal Medicine, Faculty of Medicine, Istanbul University, 34093 Istanbul, Turkey.

出版信息

J Clin Med. 2025 Jul 9;14(14):4874. doi: 10.3390/jcm14144874.

Abstract

: The long-term sequelae of COVID-19 pneumonia, particularly the persistence of imaging abnormalities and their relationship to clinical symptoms, remain unclear. While the acute radiologic patterns are well-documented, the transition to chronic pulmonary changes-and their implications for long COVID symptoms-require systematic investigation. : Our study included 93 patients with moderate to severe COVID-19 pneumonia who were admitted to Istanbul Medical Faculty Hospital, each having one follow-up CT scan over a ten-month period. Two thoracic radiologists independently calculated semi-quantitative initial chest CT scores to evaluate lung involvement in pneumonia (0-5 per lobe, total score 0-25). Two radiologists and one pulmonologist retrospectively examined the persistence of follow-up imaging findings, interpreting them alongside the relevant clinical and laboratory data. Additionally, in a subcohort ( = 46), mid-term (5-7 months) and long-term (≥10 months) scans were compared to assess temporal trajectories. : Among the 93 patients with long-term follow-up imaging, non-fibrotic changes persisted in 34 scans (36.6%), while fibrotic-like changes were observed in 70 scans (75.3%). The most common persistent non-fibrotic changes were heterogeneous attenuation (29%, = 27) and ground-glass opacities (17.2%, = 16), and the persistent fibrotic-like changes were pleuroparenchymal bands or linear atelectasis (58%, = 54), fine reticulation (52.6%, = 49), and subpleural curvilinear lines (34.4%, = 32). Both persistent non-fibrotic and fibrotic-like changes were statistically correlated with the initial CT score ( < 0.001), LDH ( < 0.001), and ferritin levels ( = 0.008 and = 0.003, respectively). Fatigue ( = 0.025) and chest pain ( < 0.001) were reported more frequently in patients with persistent non-fibrotic changes, while chest pain ( = 0.033) was reported more frequently among those with persistent fibrotic-like changes. Among the 46 patients who underwent both mid- and long-term follow-up imaging, 47.2% of those with non-fibrotic changes (17 out of 36) and 10% of those with fibrotic-like changes (4 out of 40) exhibited regression over the long term. : Initial imaging and laboratory findings may indicate persistent imaging findings related to long-term sequelae of COVID-19 pneumonia. Many of these persistent imaging abnormalities, particularly non-fibrotic changes seen in the mid-term, tend to lessen over the long term. A correlation exists between persistent imaging findings and clinical outcomes of long COVID-19, underscoring the need for further research.

摘要

新冠肺炎肺炎的长期后遗症,尤其是影像学异常的持续存在及其与临床症状的关系,仍不明确。虽然急性放射学模式已有充分记录,但向慢性肺部变化的转变及其对长期新冠症状的影响需要系统研究。

我们的研究纳入了93例中度至重度新冠肺炎肺炎患者,他们被收治于伊斯坦布尔医学院医院,在10个月期间每人进行了一次随访CT扫描。两名胸部放射科医生独立计算初始胸部CT的半定量评分,以评估肺炎的肺部受累情况(每叶0 - 5分,总分0 - 25分)。两名放射科医生和一名肺科医生回顾性检查随访影像学结果的持续性,并将其与相关临床和实验室数据一并解读。此外,在一个亚组(n = 46)中,比较了中期(5 - 7个月)和长期(≥10个月)的扫描结果,以评估时间轨迹。

在93例进行长期随访影像学检查的患者中,34次扫描(36.6%)存在非纤维化改变持续存在,而70次扫描(75.3%)观察到纤维化样改变。最常见的持续非纤维化改变是不均匀衰减(29%,n = 27)和磨玻璃影(17.2%,n = 16),持续的纤维化样改变是胸膜实质带或线状肺不张(58%,n = 54)、细网状影(52.6%,n = 49)和胸膜下曲线(34.4%,n = 32)。持续的非纤维化和纤维化样改变均与初始CT评分(P < 0.001)、乳酸脱氢酶(P < 0.001)和铁蛋白水平(分别为P = 0.008和P = 0.003)存在统计学相关性。持续非纤维化改变的患者更频繁报告疲劳(P = 0.025)和胸痛(P < 0.001),而持续纤维化样改变的患者更频繁报告胸痛(P = 0.033)。在46例接受中期和长期随访影像学检查的患者中,47.2%的非纤维化改变患者(36例中的17例)和10%的纤维化样改变患者(40例中的4例)在长期随访中出现好转。

初始影像学和实验室检查结果可能提示与新冠肺炎肺炎长期后遗症相关的持续性影像学表现。许多这些持续的影像学异常,尤其是中期出现的非纤维化改变,在长期随访中往往会减轻。持续的影像学表现与长期新冠的临床结局之间存在相关性,这凸显了进一步研究的必要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0aac/12295929/ea4f3d2bd4c5/jcm-14-04874-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验