Mikuz G, Gschwendtner A
Pathologisches Institut, Leopold-Franzens-Universität Innsbruck, Osterreich.
Verh Dtsch Ges Pathol. 2000;84:129-35.
Bronchoalveolar lavage (BAL) is an important tool for evaluating interstitial lung diseases. It provides information on inflammatory cells which play an important role in the pathogenesis of such diseases and complements the information of the lung biopsy. The method is based on the observation, that the cells recovered by BAL reflect the population of cells in pulmonary parenchyma. In healthy subjects the main cells in the lavage fluid are macrophages (> or = 80%), lymphocytes (10-20%), some few neutrophils (< or = 4%), eosinophils (< or = 3%) and single mast cells. There are significant differences in the distribution of cell types in never-smokers, exsmokers and current smokers. Generally the increase in the number of lymphocytes is a hallmark of granulomatous and allergic lung diseases. Evaluation of the lymphocyte surface antigen phenotypos allows the recognition of sarcoidosis (increased proportion of T-helper lymphozytes) and extrinsic allergic alveolitis (increased proportion of T-suppressor lymphocytes). High neutrophil counts are characteristic of fibrosing processes or of occupational diseases caused by inhalation of inorganic dust. The evaluation of the diagnostic accuracy of the BAL is difficult because the final diagnosis of many symptomatically cured patients is not clear. Nevertheless, the evaluation of our cases showed a surprisingly high overall diagnostic accuracy (> 80%). However, the accuracy of negative diagnosis (exclusion of a certain disease) is slightly higher than this of the positive ones (diagnosis confirmed).
支气管肺泡灌洗(BAL)是评估间质性肺疾病的重要工具。它可提供有关炎症细胞的信息,这些炎症细胞在这类疾病的发病机制中起重要作用,并补充肺活检的信息。该方法基于这样的观察结果,即通过BAL回收的细胞反映了肺实质中的细胞群体。在健康受试者中,灌洗液中的主要细胞是巨噬细胞(≥80%)、淋巴细胞(10 - 20%)、少量中性粒细胞(≤4%)、嗜酸性粒细胞(≤3%)和单个肥大细胞。从不吸烟者、既往吸烟者和当前吸烟者的细胞类型分布存在显著差异。一般来说,淋巴细胞数量增加是肉芽肿性和过敏性肺部疾病的标志。评估淋巴细胞表面抗原表型有助于识别结节病(辅助性T淋巴细胞比例增加)和外源性过敏性肺泡炎(抑制性T淋巴细胞比例增加)。高中性粒细胞计数是纤维化过程或吸入无机粉尘引起的职业病的特征。评估BAL的诊断准确性很困难,因为许多症状缓解患者的最终诊断并不明确。然而,对我们病例的评估显示总体诊断准确性出奇地高(>80%)。然而,阴性诊断(排除某种疾病)的准确性略高于阳性诊断(确诊)。