Literature DB >> 21835569

CT patterns of fungal pulmonary infections of the lung: comparison of standard-dose and simulated low-dose CT.

Andreas Christe1, Margaret C Lin, Andrew C Yen, Rich L Hallett, Kingshuk Roychoudhury, Florian Schmitzberger, Dominik Fleischmann, Ann N Leung, Geoffrey D Rubin, Geoffry D Rubin, Peter Vock, Justus E Roos.   

Abstract

PURPOSE: To assess the effect of radiation dose reduction on the appearance and visual quantification of specific CT patterns of fungal infection in immuno-compromised patients.
MATERIALS AND METHODS: Raw data of thoracic CT scans (64 × 0.75 mm, 120 kVp, 300 reference mAs) from 41 consecutive patients with clinical suspicion of pulmonary fungal infection were collected. In 32 patients fungal infection could be proven (median age of 55.5 years, range 35-83). A total of 267 cuboids showing CT patterns of fungal infection and 27 cubes having no disease were reconstructed at the original and 6 simulated tube currents of 100, 40, 30, 20, 10, and 5 reference mAs. Eight specific fungal CT patterns were analyzed by three radiologists: 76 ground glass opacities, 42 ground glass nodules, 51 mixed, part solid, part ground glass nodules, 36 solid nodules, 5 lobulated nodules, 6 spiculated nodules, 14 cavitary nodules, and 37 foci of air-space disease. The standard of reference was a consensus subjective interpretation by experts whom were not readers in the study.
RESULTS: The mean sensitivity and standard deviation for detecting pathological cuboids/disease using standard dose CT was 0.91 ± 0.07. Decreasing dose did not affect sensitivity significantly until the lowest dose level of 5 mAs (0.87 ± 0.10, p=0.012). Nodular pattern discrimination was impaired below the dose level of 30 reference mAs: specificity for fungal 'mixed nodules' decreased significantly at 20, 10 and 5 reference mAs (p<0.05). At lower dose levels, classification drifted from 'solid' to 'mixed nodule', although no lesion was missed.
CONCLUSION: Our simulation data suggest that tube current levels can be reduced from 300 to 30 reference mAs without impairing the diagnostic information of specific CT patterns of pulmonary fungal infections.
Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

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Year:  2011        PMID: 21835569     DOI: 10.1016/j.ejrad.2011.06.059

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  5 in total

1.  CT dose and image quality in the last three scanner generations.

Authors:  Andreas Christe; Johannes Heverhagen; Christoph Ozdoba; Christian Weisstanner; Stefan Ulzheimer; Lukas Ebner
Journal:  World J Radiol       Date:  2013-11-28

Review 2.  CT protocols in interstitial lung diseases--a survey among members of the European Society of Thoracic Imaging and a review of the literature.

Authors:  Helmut Prosch; Cornelia M Schaefer-Prokop; Edith Eisenhuber; Daniela Kienzl; Christian J Herold
Journal:  Eur Radiol       Date:  2012-12-13       Impact factor: 5.315

3.  Optimal dose levels in screening chest CT for unimpaired detection and volumetry of lung nodules, with and without computer assisted detection at minimal patient radiation.

Authors:  Andreas Christe; Zsolt Szucs-Farkas; Adrian Huber; Philipp Steiger; Lars Leidolt; Justus E Roos; Johannes Heverhagen; Lukas Ebner
Journal:  PLoS One       Date:  2013-12-26       Impact factor: 3.240

4.  Application of CareDose 4D combined with Karl 3D technology in the low dose computed tomography for the follow-up of COVID-19.

Authors:  Jiawei Li; Xiao Wang; Xiaolu Huang; Fangxing Chen; Xuesong Zhang; Ying Liu; Guangzuo Luo; Xunhua Xu
Journal:  BMC Med Imaging       Date:  2020-05-24       Impact factor: 1.930

5.  Feasible Dose Reduction in Routine Chest Computed Tomography Maintaining Constant Image Quality Using the Last Three Scanner Generations: From Filtered Back Projection to Sinogram-affirmed Iterative Reconstruction and Impact of the Novel Fully Integrated Detector Design Minimizing Electronic Noise.

Authors:  Lukas Ebner; Felix Knobloch; Adrian Huber; Julia Landau; Daniel Ott; Johannes T Heverhagen; Andreas Christe
Journal:  J Clin Imaging Sci       Date:  2014-07-31
  5 in total

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