Pieters Angelina L P, van der Veer Tjeerd, Meerburg Jennifer J, Andrinopoulou Eleni-Rosalina, van der Eerden Menno M, Ciet Pierluigi, Aliberti Stefano, Burgel Pierre-Regis, Crichton Megan L, Shoemark Amelia, Goeminne Pieter C, Shteinberg Michal, Loebinger Michael R, Haworth Charles S, Blasi Francesco, Tiddens Harm A W M, Caudri Daan, Chalmers James D
Department of Radiology and Nuclear Medicine.
Department of Pediatrics, Division of Respiratory Medicine and Allergy, Erasmus MC-Sophia Children's Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Am J Respir Crit Care Med. 2024 Jul 1;210(1):87-96. doi: 10.1164/rccm.202311-2109OC.
Chest computed tomography (CT) scans are essential to diagnose and monitor bronchiectasis (BE). To date, few quantitative data are available about the nature and extent of structural lung abnormalities (SLAs) on CT scans of patients with BE. To investigate SLAs on CT scans of patients with BE and the relationship of SLAs to clinical features using the EMBARC (European Multicenter Bronchiectasis Audit and Research Collaboration) registry. CT scans from patients with BE included in the EMBARC registry were analyzed using the validated Bronchiectasis Scoring Technique for CT (BEST-CT). The subscores of this instrument are expressed as percentages of total lung volume. The items scored are atelectasis/consolidation, BE with and without mucus plugging (MP), airway wall thickening, MP, ground-glass opacities, bullae, airways, and parenchyma. Four composite scores were calculated: total BE (i.e., BE with and without MP), total MP (i.e., BE with MP plus MP alone), total inflammatory changes (i.e., atelectasis/consolidation plus total MP plus ground-glass opacities), and total disease (i.e., all items but airways and parenchyma). CT scans of 524 patients with BE were analyzed. Mean subscores were 4.6 (range, 2.3-7.7) for total BE, 4.2 (1.2-8.1) for total MP, 8.3 (3.5-16.7) for total inflammatory changes, and 14.9 (9.1-25.9) for total disease. BE associated with primary ciliary dyskinesia was associated with more SLAs, whereas chronic obstructive pulmonary disease was associated with fewer SLAs. Lower FEV, longer disease duration, and nontuberculous mycobacterial infections, and severe exacerbations were all independently associated with worse SLAs. The type and extent of SLAs in patients with BE are highly heterogeneous. Strong relationships between radiological disease and clinical features suggest that CT analysis may be a useful tool for clinical phenotyping.
胸部计算机断层扫描(CT)对于支气管扩张(BE)的诊断和监测至关重要。迄今为止,关于BE患者CT扫描中肺结构异常(SLA)的性质和程度,可用的定量数据很少。利用欧洲多中心支气管扩张症审计与研究协作组(EMBARC)登记处的数据,研究BE患者CT扫描中的SLA以及SLA与临床特征的关系。使用经过验证的支气管扩张症CT评分技术(BEST-CT)对EMBARC登记处纳入的BE患者的CT扫描进行分析。该工具的子评分以全肺容积的百分比表示。评分项目包括肺不张/实变、伴有和不伴有黏液栓(MP)的BE、气道壁增厚、MP、磨玻璃影、肺大疱、气道和实质。计算了四个综合评分:总BE(即伴有和不伴有MP的BE)、总MP(即伴有MP的BE加上单独的MP)、总炎症改变(即肺不张/实变加上总MP加上磨玻璃影)和总疾病(即除气道和实质外的所有项目)。对524例BE患者的CT扫描进行了分析。总BE的平均子评分为4.6(范围2.3 - 7.7),总MP为4.2(1.2 - 8.1),总炎症改变为8.3(3.5 - 16.7),总疾病为14.9(9.1 - 25.9)。与原发性纤毛运动障碍相关的BE与更多的SLA相关,而慢性阻塞性肺疾病与较少的SLA相关。较低的第一秒用力呼气容积、较长的病程、非结核分枝杆菌感染以及严重加重均与更差的SLA独立相关。BE患者SLA的类型和程度高度异质性。放射学疾病与临床特征之间的密切关系表明,CT分析可能是临床表型分析的有用工具。