Detection of Pulmonary Nodules on Ultra-low Dose Chest Computed Tomography With Deep-learning Image Reconstruction Algorithm

At ULD, DLIR reconstructions, with minimal radiation exposure that could facilitate large-scale screening, allow the detection of pulmonary nodules with high sensitivity in an unrestricted BMI population.

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Publication Details

Journal
Journal of Thoracic Imaging
Published
2024-09-13
DOI
https://doi.org/10.1097/rti.0000000000000806
Citations
2
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.84
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article

Detection of Pulmonary Nodules on Ultra-low Dose Chest Computed Tomography With Deep-learning Image Reconstruction Algorithm

R. Bouzerar, C. Renard, Wesley Bocquet, Antoine Leleu et al.
2 citations
Journal of Thoracic Imaging
Lung Cancer Diagnosis and Treatment
0.84
article

Detection of Pulmonary Nodules on Ultra-low Dose Chest Computed Tomography With Deep-learning Image Reconstruction Algorithm

R. Bouzerar, C. Renard, Wesley Bocquet, Antoine Leleu, G François
article en
2 citations

Abstract

At ULD, DLIR reconstructions, with minimal radiation exposure that could facilitate large-scale screening, allow the detection of pulmonary nodules with high sensitivity in an unrestricted BMI population.

Journal of Thoracic ImagingVol. 40(3)
Centre Hospitalier Universitaire Amiens-Picardie (FR), Laboratoire d’Imagerie Biomédicale (FR)
Openalex Percentile: Top 24%
Lung Cancer Diagnosis and Treatment
0.84
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