scholarly journals The Pathology of Diffuse Lung Disorders

1999 ◽  
pp. 3-42
Author(s):  
Charles Kuhn
Keyword(s):  
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.


Pulmonology ◽  
2018 ◽  
Vol 24 (1) ◽  
pp. 23-31 ◽  
Author(s):  
L.M. Almeida ◽  
B. Lima ◽  
P.C. Mota ◽  
N. Melo ◽  
A. Magalhães ◽  
...  

2021 ◽  
Vol 80 ◽  
pp. 23-29
Author(s):  
Diane Abdel-Latif Thomasson ◽  
Rola Abou Taam ◽  
Laureline Berteloot ◽  
Sonia Khirani ◽  
Lucie Griffon ◽  
...  

2009 ◽  
Vol 15 (4) ◽  
pp. 597-611
Author(s):  
Natália Melo ◽  
Sandra Figueiredo ◽  
António Morais ◽  
Conceição Souto Moura ◽  
Paulo Pinho ◽  
...  

2014 ◽  
Vol 173 (12) ◽  
pp. 1667-1670 ◽  
Author(s):  
Xiao-dan Zhong ◽  
Li-zhe Wang ◽  
Xiao Wang ◽  
Jian Chang

Author(s):  
Alba Torrent-Vernetta ◽  
Mirella Gaboli ◽  
Silvia Castillo-Corullón ◽  
Pedro Mondéjar-López ◽  
Verónica Sanz Santiago ◽  
...  

2018 ◽  
Author(s):  
Gerald W. Staton Jr ◽  
Eugene A Berkowitz ◽  
Adam Bernheim

Parenchymal lung disease often presents on imaging with particular patterns that allow for recognition of certain clinical entities that may form the basis for an imaging differential diagnosis. Focal pulmonary opacities and multi-focal pulmonary opacities may be due to an infectious or neoplastic etiology, amongst other possibilities. Segmental/lobar opacities are also associated with a set of differential diagnoses. Diffuse parenchymal disease, while also associated with some infections and neoplasms, can additionally be seen in the setting of pneumoconioses and several idiopathic interstitial pneumonias. Combining clinical information including laboratory results with the imaging findings on chest radiography and computed tomography (CT) allows the physician to formulate an appropriate differential diagnosis or reach one specific diagnosis. This review contains 16 figures, 4 tables and 32 references Keywords: Pulmonary Opacity, Pulmonary Infection, Eosinophilic Pneumonia, Lipoid Pneumonia, Pulmonary Tuberculosis, Organizing Pneumonia, Lung Cancer, Diffuse Lung Disease, Pneumoconiosis, Idiopathic Interstitial Pneumonia


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