This study examined the correlation between the clinical and laboratory diagnosis of leprosy, using biopsy results from laboratories "A" and "B" and the ML Flow test. Clinical and histopathological diagnoses presented 67.6% agreement. The laboratories showed 73.7% agreement in the bacterial index and laboratory 'B' detected 25.4% more positives. The highest agreement was in the LL form and lowest, in the I form. The highest diagnostic discrepancy was for the BB form. Clinical diagnosis agreement was 41.3% for laboratory 'A' and 54% for 'B'. The ML Flow test reclassified 10.7% of the patients. The spectrum of leprosy classification is important for a clearer understanding of the disease and its proper treatment, but is not used in health services, which use the simplified WHO criteria. This could be complemented by ML Flow testing. Such simplification is unacceptable for Leprosy Reference Centers regarding patient attendance, teaching and research, for which the standardization of the Ridley-Jopling classification is recommended. Key-words:Leprosy. Bacterial index. ML-Flow. Clinical and laboratorial agreement. RESUMOEste estudo avaliou a concordância entre o diagnóstico clínico e o diagnóstico laboratorial da hanseníase, utilizando os resultados de biópsias dos laboratórios A e B e o teste ML-Flow. A concordância diagnóstica clínico-histopatológica foi de 67,6%. Os laboratórios apresentaram um índice de concordância de 73,7% em relação ao índice baciloscópico, e o laboratório B detectou 25,4% a mais de casos positivos. A maior concordância foi obtida para a forma V, e a menor para a forma I. A maior discrepância diagnóstica ocorreu para a forma DD. A concordância clínico-laboratorial foi de 41,3% para o laboratório A e 54% para o B. O teste ML-Flow reclassificou 10,7% dos pacientes. A classificação espectral é importante para o melhor entendimento da doença e para seu tratamento adequado, mas não é utilizada em centros de saúde, que adotam os critérios simplificados da OMS, que poderiam ser complementados pelo teste ML-Flow. Tal simplificação é inaceitável para os Centros de Referência em assistência, ensino e pesquisa em hanseníase, de modo que é recomendada a padronização pela classificação de Ridley-Jopling. Palavras-chaves:Hanseníase. Índice baciloscópico. ML-Flow. Concordância clínico-laboratorial.

ObjectiveTo perform a quantitative analysis of the airways using automated software, in computed tomography images of patients with cystic fibrosis, correlating the results with spirometric findings.Materials and MethodsThirty-four patients with cystic fibrosis were studied-20 males and 14 females; mean age 18 ± 9 years-divided into two groups according to the spirometry findings: group I (n = 21), without severe airflow obstruction (forced expiratory volume in first second [FEV1] > 50% predicted), and group II (n = 13), with severe obstruction (FEV1 ≤ 50% predicted). The following tracheobronchial tree parameters were obtained automatically: bronchial diameter, area, thickness, and wall attenuation.ResultsOn average, 52 bronchi per patient were studied. The number of bronchi analyzed was higher in group II. The correlation with spirometry findings, especially between the relative wall thickness of third to eighth bronchial generation and predicted FEV1, was better in group I.ConclusionQuantitative analysis of the airways by computed tomography can be useful for assessing disease severity in cystic fibrosis patients. In patients with severe airflow obstruction, the number of bronchi studied by the method is higher, indicating more bronchiectasis. In patients without severe obstruction, the relative bronchial wall thickness showed a good correlation with the predicted FEV1.