Chest computed tomography predicts microbiological burden and symptoms in pulmonary Mycobacterium xenopi.

BACKGROUND AND OBJECTIVE: The development of computed tomography (CT) findings usually precedes the diagnosis of pulmonary nontuberculous mycobacterial infection. The utility of specific CT scan features, although often available long before respiratory sample cultures, is not fully understood. We sought to assess associations among CT features, symptoms and microbiological disease criteria in pulmonary Mycobacterium xenopi isolation. METHODS: We reviewed 70 consecutive immunocompetent patients with pulmonary M. xenopi isolation and classified them according to the American Thoracic Society (ATS) diagnostic criteria for disease. 'Definite disease' patients (n = 16) met modified ATS criteria. 'Possible disease' patients (n = 10) met microbiological criteria, had abnormal CT scans, but data regarding symptoms were unavailable. 'No disease' patients (n = 44) had only one positive sputum culture, or were asymptomatic or had no relevant CT findings. Two radiologists, without knowledge of the clinical or microbiological information, independently reviewed the scans. RESULTS: The mean (standard deviation) age of all patients was 63 (16) years, and 39% were women. Patients with 'definite disease' usually had nodules (88%) and cavities (63%), but less often bronchiectasis (50%) and tree-in-bud (50%). Patients with 'possible' or 'no disease', respectively, had nodules (100% or 80%), bronchiectasis (40% or 18%) or tree-in-bud (40% or 11%). Cavitation (P ≤ 0.0001) and nodules ≥ 5 mm (P = 0.0002) were associated with fulfilled microbiological criteria for disease. Bronchiectasis (P = 0.02) and nodules <5 mm (P = 0.002) were associated with symptoms of infection. CONCLUSIONS: Among immunocompetent patients with pulmonary M. xenopi isolation, cavitation and large nodules predict fulfilling microbiological disease criteria, while bronchiectasis and small nodules predict symptoms.

Screening for malignant pleural mesothelioma and lung cancer in individuals with a history of asbestos exposure.

PURPOSE: We established a screening program for prior asbestos workers using low-dose computed tomography (LDCT). METHODS: Between March 2005 and October 2007 we performed LDCT (50-60 mA, 120 kV, 1.25 mm) in 516 asbestos-exposed individuals. Parenchymal nodules were followed according to lung cancer screening recommendations, morphology and location of pleural plaques was noted in detail. RESULTS: We included 507 men and 9 women (median 60.0 years), 395 (76.6%) were smokers. Annual repeat has been performed in 356 participants. We found plaques in 357 subjects (69.2%), commonly calcified (79.6%), flat (86.6%), and symmetric (86.8%), and mostly involving the costal (96.4%) and diaphragmatic (81.8%) pleura. Uncommon plaques were lobulated (13.2%), right-dominant asymmetric (4.5%), or with effusions (0.1%).We found pulmonary nodules in 371 subjects (71.9%), 91 (17.6%) had at least one nodule > or =5 mm; 10 growing nodules were found on annual repeat LDCT. In 41 individuals, plaques were regarded as atypical; three had new pleural/peritoneal abnormalities on annual repeat LDCT. An interim limited computed tomography of the observed abnormality prompted 10 diagnostic biopsies, resulting in a diagnosis of six lung cancers, two pleural mesothelioma and two peritoneal mesothelioma; overall rate of screen-detected malignancies is 2.1%. There were four interval cancers, diagnosed after baseline (n = 1) or after the annual repeat (n = 3): two pleural and one peritoneal mesothelioma, and one mixed squamous/small cell carcinoma. CONCLUSION: Screening prior asbestos workers detects advanced malignant pleural mesothelioma and early as well as late stage lung cancer. We expect to learn more about the appearance of "early mesothelioma" with continued screening.

The use of computer-aided detection for the assessment of pulmonary arterial filling defects at computed tomographic angiography.

PURPOSE: To validate a computer-aided detection (CAD) tool for the detection of pulmonary arterial filling defects at computed tomographic pulmonary angiography (CTPA) and to assess its benefit for readers of different levels of experience. METHODS: One hundred consecutive CTPA studies were retrospectively evaluated by a chest radiologist for presence of emboli, serving as the reference standard. Subsequently, examinations were analyzed using commercially available second-generation CAD software (ImageChecker CT, version 2.1; R2 Technology, Inc., Sunnyvale, Calif). The staff radiologist assessed all CAD marks and classified them as true positive or false positive (FP), and any unmarked emboli were classified as false negative. Computer-aided detection software was also evaluated on a case basis compared with the reference standard.For the second part of the study, the 100 CTPAs were reviewed by 3 additional readers of different levels of experience, both without and with CAD, and findings correlated with the reference standard. RESULTS: Twenty-one studies (21%) were positive for pulmonary embolism. Of these, 18 were true positive on a case basis, and 3 were false negative. Of the 79 negative studies, 16 were true negative with no CAD marks, and the remaining 63 were FP. On a case basis, CAD sensitivity was 86%, specificity was 20%, negative predictive value was 84%, and positive predictive value (PPV) was 22%.Overall, the CAD software yielded 318 marks, identifying 64 of 93 emboli with an additional 254 FP marks. On a mark basis, sensitivity was 69%, and PPV was 20%.Computer-aided detection did not influence the most experienced reader (a chest fellow). Although CAD improved the subjective confidence of the second-year resident in some cases, it had no influence on overall interpretation or accuracy. Computer-aided detection improved accuracy only for the most inexperienced reader, helping this reader to identify 9 emboli not initially appreciated. CONCLUSIONS: Computer-aided detection specificity and PPV are poor due to expected FP marks, although, often, these can be easily dismissed. However, CAD software may play an important role as a second reader for residents or inexperienced readers.