Diagnostic accuracy of low-mA chest CT reconstructed with Model Based Iterative Reconstruction in the detection of early pleuro-pulmonary complications following a lung transplantation - Université Paris Cité Accéder directement au contenu
Article Dans Une Revue European Radiology Année : 2016

Diagnostic accuracy of low-mA chest CT reconstructed with Model Based Iterative Reconstruction in the detection of early pleuro-pulmonary complications following a lung transplantation

Résumé

Objectives To assess the accuracy of reduced-dose, low-mA chest CT (RD-CT) reconstructed with model-based iterative reconstruction (MBIR) in detecting usual early complications following pulmonary transplantation, as compared to standard-dose chest CT (SD-CT) reconstructed with adaptative statistical iterative reconstruction (ASIR). Methods Our institutional review board approved this prospective study and patients provided written informed consent. Two thoracic radiologists independently evaluated 47 examinations performed routinely in 20 patients during 6 months following lung transplantation for the detection and/or evolution of usual pleuropulmonary complications and for subjective image quality. Each examination consisted of successive
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Dates et versions

hal-03157307 , version 1 (03-03-2021)

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Marie-Pierre Debray, Gaëlle Dauriat, Antoine Khalil, Sebastien Leygnac, Sarah Tubiana, et al.. Diagnostic accuracy of low-mA chest CT reconstructed with Model Based Iterative Reconstruction in the detection of early pleuro-pulmonary complications following a lung transplantation. European Radiology, 2016, 26 (9), pp.3138-3146. ⟨10.1007/s00330-015-4126-0⟩. ⟨hal-03157307⟩

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