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Main objective: to demonstrate that the diagnostic quality associated with the acquisition mode with tin filter, evaluated in a subjective way, is not inferior to that associated with the acquisition mode without filter.
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The chest x-ray is the first-line exam for the study of pulmonary parenchyma. Nevertheless, it does not make it possible to reveal all pulmonary pathologies, and in particular those of very small sizes. Thanks to its very high spatial resolution and contrast resolution, the scanner is able to detect all infra-millimetric pathologies of the pulmonary parenchyma but also mediastinal pathologies that could not have been seen on the standard x-ray.
This study fits into the context of pleural pathology screening for patients exposed to asbestos in their professional environment.
Today, the chest CT scan in millimetric sections isth e standardised method used in the context of this screening.Tin filtration is an additional filtration at the output of the X-ray tube made available on premium Siemens scanners. In diagnostic medical imaging, the photon beam has an energetic spectrum ranging from 0 to 150 keV. However the weak energies do not participate in the formation of the image but, on the other hand, to the overall radiation of the patient. The purpose of the addition of the tin filter is to be able to suppress, at the output of the tube, all low and medium energy levels, only allowing high energy levels to pass through. A previous study comparing the same group of patients on two different machines (one with tin filtration, one without tin filtration) showed a significant decrease in the radiation dose; nevertheless, a certain number of parameters differed between the two scanners used. In order to get rid of the different biases encountered on previous published studies, we propose to carry out this study on the same machine, by activating and deactivating tin filtration, all other parameters of acquisition and reconstruction of the image being equal in all respects.
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25 participants in 2 patient groups
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Jean Francois OUDET; Marie Barba
Data sourced from clinicaltrials.gov
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