Steve P Martin1, Joanna Gariani2, Anne-Lise Hachulla2, Diomidis Botsikas2, Dan Adler3, Wolfram Karenovics4, Christoph D Becker2, Xavier Montet2. 1. Division of Radiology, Department of Imaging and Medical Information Sciences, Geneva University Hospitals, Geneva, Switzerland. Steve.Martin@hcuge.ch. 2. Division of Radiology, Department of Imaging and Medical Information Sciences, Geneva University Hospitals, Geneva, Switzerland. 3. Division of Pneumology, Department of Internal Medicine, Geneva University Hospitals, Geneva, Switzerland. 4. Division of Thoracic Surgery, Department of Surgery, Geneva University Hospitals, Geneva, Switzerland.
Abstract
OBJECTIVES: To prospectively evaluate the impact of iterative reconstruction (IR) algorithms on pulmonary emphysema assessment as compared to filtered back projection (FBP). METHODS: One hundred ten unenhanced chest CT examinations were obtained on two different scanners. Image reconstructions from a single acquisition were done with different levels of IR and compared with FBP on the basis of the emphysema index (EI), lung volume and voxel densities. Objective emphysema assessment was performed with 3D software provided by each manufacturer. Subjective assessment of emphysema was performed as a blinded evaluation. Quantitative and subjective values were compared using repeated ANOVA analysis, Bland-Altman analysis and Kendall's coefficient of concordance (W). RESULTS: Lung volumes are stable on both units, throughout all IR levels (P ≥ 0.057). EI significantly decreases on both units with the use of any level of IR (P < 0.001). The highest levels of IR are responsible for a decrease of 33-36 % of EI. Significant differences in minimal lung density are found between the different algorithms (P < 0.003). Intra- and inter-reader concordance for emphysema characterisation is generally good (W ≥ 0.77 and W ≥ 0.86, respectively). CONCLUSIONS: Both commercially available IR algorithms used in this study significantly changed EI but did not alter visual assessment compared to standard FBP reconstruction at identical radiation exposure. KEY POINTS: • Objective quantification of pulmonary emphysema is sensitive to iterative reconstructions • Subjective evaluation of pulmonary emphysema is not influenced by iterative reconstructions • Consistency in reconstruction algorithms is of paramount importance for pulmonary emphysema monitoring.
OBJECTIVES: To prospectively evaluate the impact of iterative reconstruction (IR) algorithms on pulmonary emphysema assessment as compared to filtered back projection (FBP). METHODS: One hundred ten unenhanced chest CT examinations were obtained on two different scanners. Image reconstructions from a single acquisition were done with different levels of IR and compared with FBP on the basis of the emphysema index (EI), lung volume and voxel densities. Objective emphysema assessment was performed with 3D software provided by each manufacturer. Subjective assessment of emphysema was performed as a blinded evaluation. Quantitative and subjective values were compared using repeated ANOVA analysis, Bland-Altman analysis and Kendall's coefficient of concordance (W). RESULTS: Lung volumes are stable on both units, throughout all IR levels (P ≥ 0.057). EI significantly decreases on both units with the use of any level of IR (P < 0.001). The highest levels of IR are responsible for a decrease of 33-36 % of EI. Significant differences in minimal lung density are found between the different algorithms (P < 0.003). Intra- and inter-reader concordance for emphysema characterisation is generally good (W ≥ 0.77 and W ≥ 0.86, respectively). CONCLUSIONS: Both commercially available IR algorithms used in this study significantly changed EI but did not alter visual assessment compared to standard FBP reconstruction at identical radiation exposure. KEY POINTS: • Objective quantification of pulmonary emphysema is sensitive to iterative reconstructions • Subjective evaluation of pulmonary emphysema is not influenced by iterative reconstructions • Consistency in reconstruction algorithms is of paramount importance for pulmonary emphysema monitoring.
Authors: Frédéric A Miéville; François Gudinchet; Francis Brunelle; François O Bochud; Francis R Verdun Journal: Phys Med Date: 2012-01-02 Impact factor: 2.685
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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: Steve P Martin; Joanna Gariani; Grégoire Feutry; Dan Adler; Wolfram Karenovics; Christoph D Becker; Xavier Montet Journal: Medicine (Baltimore) Date: 2019-02 Impact factor: 1.817