Literature DB >> 29496079

Comparison of computer-aided detection (CADe) capability for pulmonary nodules among standard-, reduced- and ultra-low-dose CTs with and without hybrid type iterative reconstruction technique.

Yoshiharu Ohno1, Kota Aoyagi2, Qi Chen3, Naoki Sugihara2, Tae Iwasawa4, Fumito Okada5, Takatoshi Aoki6.   

Abstract

PURPOSE: To directly compare the effect of a reconstruction algorithm on nodule detection capability of the computer-aided detection (CADe) system using standard-dose, reduced-dose and ultra-low dose chest CTs with and without adaptive iterative dose reduction 3D (AIDR 3D).
MATERIALS AND METHODS: Our institutional review board approved this study, and written informed consent was obtained from each patient. Standard-, reduced- and ultra-low-dose chest CTs (250 mA, 50 mA and 10 mA) were used to examine 40 patients, 21 males (mean age ± standard deviation: 63.1 ± 11.0 years) and 19 females (mean age, 65.1 ± 12.7 years), and reconstructed as 1 mm-thick sections. Detection of nodule equal to more than 4 mm in dimeter was automatically performed by our proprietary CADe software. The utility of iterative reconstruction method for improving nodule detection capability, sensitivity and false positive rate (/case) of the CADe system using all protocols were compared by means of McNemar's test or signed rank test.
RESULTS: Sensitivity (SE: 0.43) and false-positive rate (FPR: 7.88) of ultra-low-dose CT without AIDR 3D was significantly inferior to those of standard-dose CTs (with AIDR 3D: SE, 0.78, p < .0001, FPR, 3.05, p < .0001; and without AIDR 3D: SE, 0.80, p < .0001, FPR: 2.63, p < .0001), reduced-dose CTs (with AIDR 3D: SE, 0.81, p < .0001, FPR, 3.05, p < .0001; and without AIDR 3D: SE, 0.62, p < .0001, FPR: 2.95, p < .0001) and ultra-low-dose CT with AIDR 3D (SE, 0.79, p < .0001, FPR, 4.88, p = .0001).
CONCLUSION: The AIDR 3D has a significant positive effect on nodule detection capability of the CADe system even when radiation dose is reduced.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  CT; Computer-aided detection; Lung; Nodule; Radiation dose reduction

Mesh:

Year:  2018        PMID: 29496079     DOI: 10.1016/j.ejrad.2018.01.010

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


  1 in total

1.  Ultra-low-dose CT detects synovitis in patients with suspected rheumatoid arthritis.

Authors:  Torsten Diekhoff; Sevtap Tugce Ulas; Denis Poddubnyy; Udo Schneider; Sandra Hermann; Robert Biesen; Gerd R Burmester; Bernd Hamm; Kay Geert Hermann
Journal:  Ann Rheum Dis       Date:  2018-09-29       Impact factor: 19.103

  1 in total

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