Constance de Margerie-Mellon1, Cédric de Bazelaire2, Claire Montlahuc3, Jérôme Lambert3, Antoine Martineau4, Philippe Coulon5, Eric de Kerviler2, Catherine Beigelman6. 1. Department of Radiology, INSERM UMR_S1165, University Paris Diderot, Sorbonne Paris-Cité, AP-HP, Saint Louis Hospital, 1 avenue Claude Vellefaux, 75 010 Paris, France. Electronic address: constancedemm@gmail.com. 2. Department of Radiology, INSERM UMR_S1165, University Paris Diderot, Sorbonne Paris-Cité, AP-HP, Saint Louis Hospital, 1 avenue Claude Vellefaux, 75 010 Paris, France. 3. Department of Informatics and Biostatistics, University Paris Diderot, Sorbonne Paris-Cité, AP-HP, Saint Louis Hospital, 1 avenue Claude Vellefaux, 75 010 Paris, France; INSERM, ECSTRA team, CRESS-UMR_S 1153, 75010 Paris, France. 4. Department of Nuclear Medicine, University Paris Diderot, Sorbonne Paris-Cité, AP-HP, Saint Louis Hospital, 1 avenue Claude Vellefaux, 75 010 Paris, France. 5. Philips Healthcare, 33 rue de Verdun, 92156 Suresnes Cedex, France; Department of Radiology, Vaudois University Hospital, rue du Bugnon 46, 1011 Lausanne, Switzerland. 6. Department of Radiology, Vaudois University Hospital, rue du Bugnon 46, 1011 Lausanne, Switzerland.
Abstract
RATIONALE AND OBJECTIVES: The study aimed to evaluate the performances of two iterative reconstruction (IR) algorithms and of filtered back projection (FBP) when using reduced-dose chest computed tomography (RDCT) compared to standard-of-care CT. MATERIALS AND METHODS: An institutional review board approval was obtained. Thirty-six patients with hematologic malignancies referred for a control chest CT of a known lung disease were prospectively enrolled. Patients underwent standard-of-care scan reconstructed with hybrid IR, followed by an RDCT reconstructed with FBP, hybrid IR, and iterative model reconstruction. Objective and subjective quality measurements, lesion detectability, and evolution assessment on RDCT were recorded. RESULTS: For RDCT, the CTDIvol (volumetric computed tomography dose index) was 0.43 mGy⋅cm for all patients, and the median [interquartile range] effective dose was 0.22 mSv [0.22-0.24]; corresponding measurements for standard-of-care scan were 3.4 mGy [3.1-3.9] and 1.8 mSv [1.6-2.0]. Noise significantly decreased from FBP to hybrid IR and from hybrid IR to iterative model reconstruction on RDCT, whereas lesion conspicuity and diagnostic confidence increased. Accurate evolution assessment was obtained in all cases with IR. Emphysema identification was higher with iterative model reconstruction. CONCLUSION: Although iterative model reconstruction offered better diagnostic confidence and emphysema detection, both IR algorithms allowed an accurate evolution assessment with an effective dose of 0.22 mSv.
RATIONALE AND OBJECTIVES: The study aimed to evaluate the performances of two iterative reconstruction (IR) algorithms and of filtered back projection (FBP) when using reduced-dose chest computed tomography (RDCT) compared to standard-of-care CT. MATERIALS AND METHODS: An institutional review board approval was obtained. Thirty-six patients with hematologic malignancies referred for a control chest CT of a known lung disease were prospectively enrolled. Patients underwent standard-of-care scan reconstructed with hybrid IR, followed by an RDCT reconstructed with FBP, hybrid IR, and iterative model reconstruction. Objective and subjective quality measurements, lesion detectability, and evolution assessment on RDCT were recorded. RESULTS: For RDCT, the CTDIvol (volumetric computed tomography dose index) was 0.43 mGy⋅cm for all patients, and the median [interquartile range] effective dose was 0.22 mSv [0.22-0.24]; corresponding measurements for standard-of-care scan were 3.4 mGy [3.1-3.9] and 1.8 mSv [1.6-2.0]. Noise significantly decreased from FBP to hybrid IR and from hybrid IR to iterative model reconstruction on RDCT, whereas lesion conspicuity and diagnostic confidence increased. Accurate evolution assessment was obtained in all cases with IR. Emphysema identification was higher with iterative model reconstruction. CONCLUSION: Although iterative model reconstruction offered better diagnostic confidence and emphysema detection, both IR algorithms allowed an accurate evolution assessment with an effective dose of 0.22 mSv.
Authors: Hendrik Joost Wisselink; Gert Jan Pelgrim; Mieneke Rook; Maarten van den Berge; Kees Slump; Yeshu Nagaraj; Peter van Ooijen; Matthijs Oudkerk; Rozemarijn Vliegenthart Journal: Br J Radiol Date: 2019-11-28 Impact factor: 3.039
Authors: Björg Kristjánsdóttir; Maria Taekker; Michael B Andersen; Lasse P Bentsen; Mikkel H Berntsen; Jan Dahlin; Maja L Fransen; Kristina Gosvig; Pernille W Greisen; Christian B Laursen; Bo Mussmann; Stefan Posth; Claus-Henrik Rasmussen; Hannes Sjölander; Ole Graumann Journal: Medicine (Baltimore) Date: 2022-08-05 Impact factor: 1.817
Authors: Josep M Martí-Climent; Elena Prieto; Verónica Morán; Lidia Sancho; Macarena Rodríguez-Fraile; Javier Arbizu; María J García-Velloso; José A Richter Journal: EJNMMI Res Date: 2017-04-24 Impact factor: 3.138