Computed Tomography of Diffuse Lung Diseases and Solitary Pulmonary Nodules

Author(s):  
Mario Maffessanti ◽  
Giorgia Dalpiaz
2021 ◽  
pp. 028418512199579
Author(s):  
Simon S Martin ◽  
Delina Kolaneci ◽  
Julian L Wichmann ◽  
Lukas Lenga ◽  
Doris Leithner ◽  
...  

Background High-resolution computed tomography (HRCT) is essential in narrowing the possible differential diagnoses of diffuse and interstitial lung diseases. Purpose To investigate the value of a novel computer-based decision support system (CDSS) for facilitating diagnosis of diffuse lung diseases at HRCT. Material and Methods A CDSS was developed that includes about 100 different illustrations of the most common HRCT signs and patterns and describes the corresponding pathologies in detail. The logical set-up of the software facilitates a structured evaluation. By selecting one or more CT patterns, the program generates a ranked list of the most likely differential diagnoses. Three independent and blinded radiology residents initially evaluated 40 cases with different lung diseases alone; after at least 12 weeks, observers re-evaluated all cases using the CDSS. Results In 40 patients, a total of 113 HRCT patterns were evaluated. The percentage of correctly classified patterns was higher with CDSS (96.8%) compared to assessment without CDSS (90.3%; P < 0.01). Moreover, the percentage of correct diagnosis (81.7% vs. 64.2%) and differential diagnoses (89.2% vs. 38.3%) were superior with CDSS compared to evaluation without CDSS (both P < 0.01). Conclusion Addition of a CDSS using a structured approach providing explanations of typical HRCT patterns and graphical illustrations significantly improved the performance of trainees in characterizing and correctly identifying diffuse lung diseases.


Respiration ◽  
2018 ◽  
Vol 96 (5) ◽  
pp. 455-463 ◽  
Author(s):  
Eva Padrão ◽  
Márcio Rodrigues ◽  
Susana Guimarães ◽  
Patrícia Caetano Mota ◽  
Natália Melo ◽  
...  

2012 ◽  
Vol 36 (5) ◽  
pp. 505-511 ◽  
Author(s):  
Osamu Honda ◽  
Daisuke Takenaka ◽  
Mitsuru Matsuki ◽  
Mitsuhiro Koyama ◽  
Noriyuki Tomiyama ◽  
...  

Author(s):  
Poonam Vohra ◽  
Harsumeet S. Sidhu

Background: Diffuse lung diseases describe a heterogeneous group of disorders of the lower respiratory tract characterized by inflammation and derangement of the interstitium and loss of functional alveolar units. The disease is not restricted to the interstitium only, as it involves epithelial, endothelial and mesenchymal cells with the disease process extending into the alveoli, acini and bronchioles. Thus, the entire pulmonary parenchyma is involved. The objective of the study was to evaluate diffuse lung diseases by high resolution computed tomography of chest.Methods: A cross-sectional observational study was done in 30 patients. Adult patients of either sex of age group 18 and above showing reticular opacities on chest X-ray and those patients who were incidentally diagnosed as cases of diffuse lung diseases on HRCT chest were included in present study.Results: Reticular opacities were the most common roentgenographic finding followed by reticulonodular opacities. On HRCT, intra and interlobular septal thickening was the most common finding in Idiopathic interstitial pneumonia (usual interstitial pneumonia).Conclusions: High resolution computed tomography (HRCT) is superior to the plain chest X-ray for early detection and confirmation of suspected diffuse lung diseases. In addition, HRCT allows better assessment of the extent and distribution of disease, and it is especially useful in the investigation of patients with a normal chest radiograph. Coexisting disease is often best recognized on HRCT scanning.


2009 ◽  
Vol 33 (5) ◽  
pp. 731-738 ◽  
Author(s):  
Hiromitsu Sumikawa ◽  
Takeshi Johkoh ◽  
Shuji Yamamoto ◽  
Masahiro Yanagawa ◽  
Atsuo Inoue ◽  
...  

2006 ◽  
Vol 30 (2) ◽  
pp. 244-249 ◽  
Author(s):  
Hiromitsu Sumikawa ◽  
Takeshi Johkoh ◽  
Shuji Yamamoto ◽  
Kazunari Takahei ◽  
Takashi Ueguchi ◽  
...  

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