Shaikh Minhaj, Sood Ram Gopal, Sarkar Malay, Thakur Vijay
Department of Radiology, Indira Gandhi Medical College, Shimla, Himachal Pradesh, India.
Department of Pulmonary Medicine, Indira Gandhi Medical College, Shimla, Himachal Pradesh, India.
Pol J Radiol. 2017 Dec 15;82:760-766. doi: 10.12659/PJR.903278. eCollection 2017.
To evaluate the role of HRCT in quantifying emphysema in severe COPD patients and to study the variations in the pattern of emphysema in relation to age, sex, FEV1, smoking index, biomass exposure, and BMI.
MATERIAL/METHODS: Automatic lung segmentation of HRCT scans in 41 severe COPD patients (GOLD stage III or more) was done using an emphysema protocol. The extent of emphysema was assessed using the density mask method with a threshold of -950 HU (%LAA-950). The percentage of emphysema in each lung lobe and both lungs was correlated with 6 parameters - age, sex, BMI, smoking index, biomass exposure, and FEV.
Smoking resulted in homogenously distributed emphysema regardless of the severity of smoking. BMI was inversely correlated with the extent of emphysema. A significant association was found between the percentage of emphysema in the right lower lobe and BMI (P=0.015), between biomass exposure and the percentage of emphysema in RUL, RLL, and both lungs (P values of 0.024, 0.016, and 0.036, respectively). The extent of emphysema was disproportionately low compared to the amount of obstruction on PFTs, indicating an airway predominant variety of COPD with significant biomass exposure.
Smoking is associated with a relatively homogenous distribution of emphysema with no regional predilection. Biomass exposure produces predominantly right-sided emphysema. BMI decreases with increasing levels of emphysema in the right lower lobe. These risk factors of emphysema patterns are helpful in deciding on the management, including surgical options.
评估高分辨率计算机断层扫描(HRCT)在量化重度慢性阻塞性肺疾病(COPD)患者肺气肿中的作用,并研究肺气肿模式与年龄、性别、第一秒用力呼气容积(FEV1)、吸烟指数、生物质暴露及体重指数(BMI)之间的变化关系。
材料/方法:采用肺气肿方案对41例重度COPD患者(全球慢性阻塞性肺疾病倡议组织[GOLD]III期及以上)的HRCT扫描进行自动肺分割。使用密度掩码法,阈值为-950HU(%LAA-950)评估肺气肿程度。将每个肺叶及双肺的肺气肿百分比与6个参数——年龄、性别、BMI、吸烟指数、生物质暴露及FEV1进行关联分析。
无论吸烟严重程度如何,吸烟都会导致肺气肿均匀分布。BMI与肺气肿程度呈负相关。右肺下叶肺气肿百分比与BMI之间存在显著关联(P=0.015),生物质暴露与右上叶(RUL)、右肺下叶(RLL)及双肺的肺气肿百分比之间存在显著关联(P值分别为0.024、0.016和0.036)。与肺功能测试(PFTs)中的阻塞程度相比,肺气肿程度相对较低,表明这是一种以气道为主的COPD类型,且存在大量生物质暴露。
吸烟与肺气肿相对均匀的分布相关,无区域偏好。生物质暴露主要导致右侧肺气肿。右肺下叶肺气肿程度增加时,BMI降低。这些肺气肿模式的风险因素有助于确定治疗方案,包括手术选择。