Górecki Andrzej, Piech Piotr, Kołodziejczyk Karolina, Jankowska Ada, Szostak Zuzanna, Bronikowska Anna, Borowski Bartosz, Staśkiewicz Grzegorz
Medical Diagnostic Center Voxel, Regional Hospital in Łańcut, Ignacego Paderewskiego 5, 37-100 Łańcut, Poland.
Department of Correct, Clinical and Imaging Anatomy, Medical University of Lublin, Chodźki 4 (CSM), 20-093 Lublin, Poland.
Diagnostics (Basel). 2025 Jul 26;15(15):1875. doi: 10.3390/diagnostics15151875.
To assess quantitatively the correlation between the lung ultrasound severity scores (LUSSs) and chest CT severity scores (CTSSs) derived from low-dose computed tomography (LDCT) for evaluating pulmonary inflammation in COVID-19 patients. In this prospective observational study, from an initial cohort of 1000 patients, 555 adults (≥18 years) with confirmed COVID-19 were enrolled based on inclusion criteria. All underwent LDCT imaging, scored by the CTSS (0-25 points), quantifying involvement across five lung lobes. Lung ultrasound examinations using standardized semi-quantitative scales for the B-line (LUSS B) and consolidation (LUSS C) were performed in a subgroup of 170 patients; 110 had follow-up imaging after one week. Correlation analyses included Spearman's and Pearson's coefficients. Significant positive correlations were found between the CTSS and both the LUSS B (r = 0.32; < 0.001) and LUSS C (r = 0.24; = 0.006), with the LUSS B showing a slightly stronger relationship. Each incremental increase in the LUSS B corresponded to an average increase of 0.18 CTSS points, whereas a one-point increase in the LUSS C corresponded to a 0.27-point CTSS increase. The mean influence of the LUSS on CTSS was 8.0%. Neither ultrasound score significantly predicted ICU admission or mortality ( > 0.05). Standardized lung ultrasound severity scores show a significant correlation with low-dose CT in assessing pulmonary involvement in COVID-19, particularly for the B-line artifacts. Lung ultrasound represents a valuable bedside tool, complementing-but not substituting-CT in predicting clinical severity. Integrating both imaging modalities may enable the acquisition of complementary bedside information and facilitate dynamic monitoring of disease progression.
为了定量评估肺部超声严重程度评分(LUSS)与基于低剂量计算机断层扫描(LDCT)得出的胸部CT严重程度评分(CTSS)之间的相关性,以评估新型冠状病毒肺炎(COVID-19)患者的肺部炎症。在这项前瞻性观察性研究中,从最初的1000名患者队列中,根据纳入标准招募了555名确诊COVID-19的成年人(≥18岁)。所有患者均接受了LDCT成像,并由CTSS(0-25分)进行评分,对五个肺叶的受累情况进行量化。在170名患者的亚组中,使用针对B线(LUSS B)和实变(LUSS C)的标准化半定量量表进行了肺部超声检查;其中110名患者在一周后进行了随访成像。相关性分析包括Spearman系数和Pearson系数。发现CTSS与LUSS B(r = 0.32;P < 0.001)和LUSS C(r = 0.24;P = 0.006)均存在显著正相关,LUSS B显示出稍强的相关性。LUSS B每增加一个单位,CTSS平均增加0.18分,而LUSS C每增加一分,CTSS增加0.27分。LUSS对CTSS的平均影响为8.0%。两种超声评分均未显著预测入住重症监护病房(ICU)或死亡率(P > 0.05)。标准化的肺部超声严重程度评分在评估COVID-19患者的肺部受累情况时与低剂量CT存在显著相关性,尤其是对于B线伪像。肺部超声是一种有价值的床旁工具,在预测临床严重程度方面可补充但不能替代CT。整合这两种成像方式可能有助于获取互补的床旁信息,并便于动态监测疾病进展。