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Background The extra-pleural space is challenging to view radiologically and is commonly overlooked. Therefore, it is important to have a comprehensive understanding of its anatomy in order to correctly classify lesions as either pleural or extra-pleural so as to choose the most appropriate treatment. CT with multi-planar reformatting allows the assessment of pathological conditions involving the extra-pleural space. The aim of this cross-sectional study was to assess the role of CT in the detection and evaluation of the extra-pleural space lesions and to classify them according to their CT appearance in order to reach a proper diagnosis and successful management plan. Results This study was conducted on 131 patients who underwent CT scan of the chest for different chest complaints, and the detected extra-pleural space abnormalities were classified according to their CT appearance into three major groups which are fatty expansion and soft tissue stranding group that included 59 cases (45%), abnormal attenuation group that included 13 cases (10%), and soft tissue expansion group that included 59 cases (45%). Out of the 59 cases with increased fatty expansion and soft tissue stranding, 73% were of inflammatory cause (either pulmonary or pleural), 17% were of neoplastic cause, and 3 cases were caused by systemic conditions. The abnormal extra-pleural space attenuation group was classified into air-containing and blood-containing groups, and both were mainly caused by trauma. Soft tissue infiltration of extra-pleural space was classified into neoplastic (85%) and non-neoplastic (15%) lesions, while most of the non-neoplastic pathologies were caused by severe inflammatory processes. The axial images were mostly sufficient to detect extra-pleural space lesions. Conclusions CT has a crucial role in the assessment of extra-pleural space and the different lesions involving it. Those lesions can be classified according to their CT appearance in order to reach a proper diagnosis and as a result aid in better management of these pathologies.

Background Centri-lobular nodules are the most common pattern of diffuse pulmonary nodules encountered on high-resolution computed tomography (HRCT). HRCT with post-processing techniques such as obtaining maximum intensity projection (MIP) is helpful in making centri-lobular nodules more conspicuous. The study aimed to highlight the role of HRCT with its reconstruction capabilities in the detection and characterization of centri-lobular pulmonary nodules, interpret the most frequent associated findings, and correlate with the clinical findings to reach the most appropriate diagnosis. Results The study included 58 patients; 41.4% males and 58.6% females. Their age ranged from 2 to 67 years with mean age of 25.69. The centri-lobular nodules numbers, distribution, shape, and associated HRCT chest findings were identified. The top three etiological diagnoses were infection/inflammation in 50.0% of cases followed by acute viral bronchiolitis in 27.6% and inhalation bronchiolitis in 19.0% of cases. Correlation of HRCT findings with the clinical diagnosis was carried out with consequent formulation of an algorithm for the diagnostic approach of various etiologies of centri-lobular pulmonary nodules. Conclusions HRCT is a useful tool in the detection and characterization of centri-lobular pulmonary nodules. It can be used to differentiate the different etiologies that share centri-lobular nodularity. Other associated features and multidisciplinary approach are essential for further characterization of the most relevant etiological diagnosis.

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Background: Asbestos refers to a group of naturally occurring silicate minerals which have been traditionally used in building materials and household products. Inhalation of asbestos fibers, however, has been associated with adverse health outcomes, with the disease manifestations principally affecting the thorax. The aim of our study is to detect and evaluate the different radiological patterns of asbestos-related lung and pleural disease and its complications Results: MDCT examination was able to assess and distinguish asbestosis as well as asbestos-related lung and pleural disease besides detection of any associated complications. Conclusion: This study demonstrates that while reporting of malignant asbestos-related pleural disease is adequate, there is room for improvement in the reporting of more benign disease.