P96 COVID-19中的肺血管疾病:来自大型多中心成像数据库的人工智能分析的见解

J. Rossdale, P. Charters, R. Foley, W. Brown, T. Burnett, R. Mackenzie Ross, J. Suntharalingam, J. Rodrigues
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The National Covid-19 Chest Imaging Database (NCCID) was analysed for prevalence of PT in COVID-19 patients;we hypothesised associations between macroscopic PT, severity of parenchymal disease, evidence of RV dysfunction on CT and mortality.MethodsNCCID is a multicentre UK-wide centralised database comprised of radiological images from hospitalised COVID-19 patients. 391 thoracic contrast CT scans from 14 centres across England and Wales performed between 2nd March 2020 – 10th September 2020 underwent automated post-processing software (IMBIO LLC.) to determine RV:LV diameter ratio. Scans were manually reported for PT and quantitatively scored for arterial obstruction and severity of parenchymal involvement using CT- Severity Scoring (CT-SS)[1]. Imaging metrics were analysed for association with PT and 30 day mortality.ResultsAutomated RV:LV analysis was successful in 90% (351/391) of scans. Mean age: 64, 53% (186/351) male. Mortality data was available for 325 patients: 22 died within 30 days of scan (6.7% (22/325)).Macroscopic PT was present in 16% (56/351). Median Qanadli score was 6% (IQR 3%-17.5%), indicating low burden arterial obstruction. PT was not associated with mortality (p=0.18).RV:LV >1 on CT was observed in 59% (206/351) (mean RV:LV 1.08). RV:LV was significantly higher in the presence of PT (mean RVLV 1.17 vs 1.06 p=0.011, χ2(2) = 6.499). RV:LV was not predictive of mortality (AUC 0.467, CI 0.358–0.576).CT-SS significantly predicted mortality (AUC 0.787, p=<0.0005, CI 0.693–0.881). However there was no correlation between severity of parenchymal involvement and RV:LV (r 0.82, p=0.123), nor presence of PT (χ2(2) 2.305, p=0.129).ConclusionsRV dilatation and PT were prevalent in this multicentre cohort of COVID-19 patients, but were not associated with mortality or parenchymal disease severity. 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Scans were manually reported for PT and quantitatively scored for arterial obstruction and severity of parenchymal involvement using CT- Severity Scoring (CT-SS)[1]. Imaging metrics were analysed for association with PT and 30 day mortality.ResultsAutomated RV:LV analysis was successful in 90% (351/391) of scans. Mean age: 64, 53% (186/351) male. Mortality data was available for 325 patients: 22 died within 30 days of scan (6.7% (22/325)).Macroscopic PT was present in 16% (56/351). Median Qanadli score was 6% (IQR 3%-17.5%), indicating low burden arterial obstruction. PT was not associated with mortality (p=0.18).RV:LV >1 on CT was observed in 59% (206/351) (mean RV:LV 1.08). RV:LV was significantly higher in the presence of PT (mean RVLV 1.17 vs 1.06 p=0.011, χ2(2) = 6.499). RV:LV was not predictive of mortality (AUC 0.467, CI 0.358–0.576).CT-SS significantly predicted mortality (AUC 0.787, p=<0.0005, CI 0.693–0.881). 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引用次数: 1

摘要

目的和目的报道了COVID-19患者肺血栓形成(PT)和右心室功能障碍的发生率增加。临床意义尚不完全清楚,而且很少有大型、多中心的研究。我们分析了国家Covid-19胸部成像数据库(NCCID)中Covid-19患者的PT患病率;我们假设宏观PT、实质疾病的严重程度、CT上右心室功能障碍的证据和死亡率之间存在关联。方法snccid是全英国多中心的集中式数据库,由住院COVID-19患者的放射图像组成。2020年3月2日至2020年9月10日期间,来自英格兰和威尔士14个中心的391次胸部对比CT扫描进行了自动后处理软件(IMBIO LLC.),以确定RV:LV直径比。人工报告PT扫描,并使用CT-严重程度评分(CT- ss)对动脉阻塞和实质受累程度进行定量评分[1]。分析影像学指标与PT和30天死亡率的关系。结果自动RV:LV分析成功率为90%(351/391)。平均年龄:64,53 %(186/351)男性。325例患者的死亡率数据:22例在扫描后30天内死亡(6.7%(22/325))。16%(56/351)存在肉眼可见的PT。Qanadli评分中位数为6% (IQR为3% ~ 17.5%),提示低负荷性动脉阻塞。PT与死亡率无关(p=0.18)。59%(206/351)患者CT上RV:LV >1(平均RV:LV 1.08)。PT存在时RV:LV显著增高(平均RVLV 1.17 vs 1.06 p=0.011, χ2(2) = 6.499)。RV:LV不能预测死亡率(AUC 0.467, CI 0.358-0.576)。CT-SS显著预测死亡率(AUC 0.787, p=1),对预后无歧视性。参考文献杨锐,等。胸部CT严重程度评分:评估严重COVID-19的成像工具中华放射学杂志2020;2(2):e200047。doi: 10.1148 / ryct.2020200047
本文章由计算机程序翻译,如有差异,请以英文原文为准。
P96 Pulmonary vascular disease in COVID-19: insights from artificial intelligence analysis in a large multicentre imaging database
Aims and ObjectivesAn increased incidence of pulmonary thrombosis (PT) and right ventricular (RV) dysfunction is reported in COVID-19. The clinical significance is not fully understood and there are few large, multicentre studies. The National Covid-19 Chest Imaging Database (NCCID) was analysed for prevalence of PT in COVID-19 patients;we hypothesised associations between macroscopic PT, severity of parenchymal disease, evidence of RV dysfunction on CT and mortality.MethodsNCCID is a multicentre UK-wide centralised database comprised of radiological images from hospitalised COVID-19 patients. 391 thoracic contrast CT scans from 14 centres across England and Wales performed between 2nd March 2020 – 10th September 2020 underwent automated post-processing software (IMBIO LLC.) to determine RV:LV diameter ratio. Scans were manually reported for PT and quantitatively scored for arterial obstruction and severity of parenchymal involvement using CT- Severity Scoring (CT-SS)[1]. Imaging metrics were analysed for association with PT and 30 day mortality.ResultsAutomated RV:LV analysis was successful in 90% (351/391) of scans. Mean age: 64, 53% (186/351) male. Mortality data was available for 325 patients: 22 died within 30 days of scan (6.7% (22/325)).Macroscopic PT was present in 16% (56/351). Median Qanadli score was 6% (IQR 3%-17.5%), indicating low burden arterial obstruction. PT was not associated with mortality (p=0.18).RV:LV >1 on CT was observed in 59% (206/351) (mean RV:LV 1.08). RV:LV was significantly higher in the presence of PT (mean RVLV 1.17 vs 1.06 p=0.011, χ2(2) = 6.499). RV:LV was not predictive of mortality (AUC 0.467, CI 0.358–0.576).CT-SS significantly predicted mortality (AUC 0.787, p=<0.0005, CI 0.693–0.881). However there was no correlation between severity of parenchymal involvement and RV:LV (r 0.82, p=0.123), nor presence of PT (χ2(2) 2.305, p=0.129).ConclusionsRV dilatation and PT were prevalent in this multicentre cohort of COVID-19 patients, but were not associated with mortality or parenchymal disease severity. PT is frequently low burden and, in contrast to PT outside the context of COVID-19, RV:LV >1 is not discriminatory for prognosis.ReferenceYang R., et al. Chest CT severity score: an imaging tool for assessing severe COVID-19. Radiology: Cardiothoracic Imaging 2020;2(2):e200047. doi: 10.1148/ryct.2020200047
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