Literature DB >> 24620913

Effect of reduced radiation exposure and iterative reconstruction on detection of low-contrast low-attenuation lesions in an anthropomorphic liver phantom: an 18-reader study.

Ajit H Goenka1, Brian R Herts, Nancy A Obuchowski, Andrew N Primak, Frank Dong, Wadih Karim, Mark E Baker.   

Abstract

PURPOSE: To measure the effect of reduced radiation exposure on low-contrast low-attenuation liver lesion detection in an anthropomorphic abdominal phantom by using filtered back projection (FBP) and sinogram-affirmed iterative reconstruction.
MATERIALS AND METHODS: Eighteen radiologists blinded to phantom and study design interpreted randomized image data sets that contained 36 spherical simulated liver lesions of three sizes and three attenuation differences (5-mm diameter: 12, 18, and 24 HU less than the 90-HU background attenuation of the simulated liver insert; 10- and 15-mm diameter: 6, 12, and 18 HU less than the 90-HU background attenuation) scanned with four discrete exposure settings and reconstructed by using FBP and sinogram-affirmed iterative reconstruction. Response assessment included region-level lesion presence or absence on a five-point diagnostic confidence scale. Statistical evaluation included multireader multicase receiver operating characteristic curve analysis, with nonparametric methods and noninferiority analysis at a margin of -0.10.
RESULTS: Pooled accuracy at 75% exposure for both FBP and sinogram-affirmed iterative reconstruction was noninferior to 100% exposure (P = .002 and P < .001, respectively). Subsequent exposure reductions resulted in a significant decrease in accuracy. When the smallest (5-mm-diameter) lesions were excluded from analysis, sinogram-affirmed iterative reconstruction was superior to FBP at 100% exposure (P = .011), and sinogram-affirmed iterative reconstruction at 25% and 50% exposure reduction was noninferior to FBP at 100% exposure (P ≤ .013). Reader confidence was greater with sinogram-affirmed iterative reconstruction than with FBP for 10- and 15-mm lesions (2.94 vs 2.76 and 3.62 vs 3.52, respectively).
CONCLUSION: In this low-contrast low-attenuation liver lesion model, a 25% exposure reduction maintained noninferior diagnostic accuracy. However, detection was inferior with each subsequent exposure reduction, regardless of reconstruction method. Sinogram-affirmed iterative reconstruction and FBP performed equally well at modest exposure reduction (25%-50%). Readers had higher confidence levels with sinogram-affirmed iterative reconstruction for the 10- and 15-mm lesions. © RSNA, 2014.

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Year:  2014        PMID: 24620913     DOI: 10.1148/radiol.14131928

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  26 in total

1.  Observer performance for adaptive, image-based denoising and filtered back projection compared to scanner-based iterative reconstruction for lower dose CT enterography.

Authors:  Joel G Fletcher; Amy K Hara; Jeff L Fidler; Alvin C Silva; John M Barlow; Rickey E Carter; Adam Bartley; Maria Shiung; David R Holmes; Nicolas K Weber; David H Bruining; Lifeng Yu; Cynthia H McCollough
Journal:  Abdom Imaging       Date:  2015-06

2.  Aortic CT angiography using the double region of interest timing bolus technique: feasibility of 80 kVp scanning in lean patients.

Authors:  Nobuo Tomizawa; Shingo Ito; Tastuya Nakao; Hiroaki Arakawa; Kodai Yamamoto; Shinichi Inoh; Takeshi Nojo; Sunao Nakamura
Journal:  Int J Cardiovasc Imaging       Date:  2019-07-02       Impact factor: 2.357

3.  Impact of model-based iterative reconstruction on low-contrast lesion detection and image quality in abdominal CT: a 12-reader-based comparative phantom study with filtered back projection at different tube voltages.

Authors:  André Euler; Bram Stieltjes; Zsolt Szucs-Farkas; Reto Eichenberger; Clemens Reisinger; Anna Hirschmann; Caroline Zaehringer; Achim Kircher; Matthias Streif; Sabine Bucher; David Buergler; Luigia D'Errico; Sebastién Kopp; Markus Wilhelm; Sebastian T Schindera
Journal:  Eur Radiol       Date:  2017-04-03       Impact factor: 5.315

4.  Degradation of CT Low-Contrast Spatial Resolution Due to the Use of Iterative Reconstruction and Reduced Dose Levels.

Authors:  Cynthia H McCollough; Lifeng Yu; James M Kofler; Shuai Leng; Yi Zhang; Zhoubo Li; Rickey E Carter
Journal:  Radiology       Date:  2015-03-26       Impact factor: 11.105

5.  Impact of number of repeated scans on model observer performance for a low-contrast detection task in computed tomography.

Authors:  Chi Ma; Lifeng Yu; Baiyu Chen; Christopher Favazza; Shuai Leng; Cynthia McCollough
Journal:  J Med Imaging (Bellingham)       Date:  2016-05-26

6.  Assessment of Low-Contrast Resolution for the American College of Radiology Computed Tomographic Accreditation Program: What Is the Impact of Iterative Reconstruction?

Authors:  James M Kofler; Lifeng Yu; Shuai Leng; Yi Zhang; Zhoubo Li; Rickey E Carter; Cynthia H McCollough
Journal:  J Comput Assist Tomogr       Date:  2015 Jul-Aug       Impact factor: 1.826

7.  Evaluation of Lower-Dose Spiral Head CT for Detection of Intracranial Findings Causing Neurologic Deficits.

Authors:  J G Fletcher; D R DeLone; A L Kotsenas; N G Campeau; V T Lehman; L Yu; S Leng; D R Holmes; P K Edwards; M P Johnson; G J Michalak; R E Carter; C H McCollough
Journal:  AJNR Am J Neuroradiol       Date:  2019-10-24       Impact factor: 3.825

8.  Rapid measurement of the low contrast detectability of CT scanners.

Authors:  Akinyinka Omigbodun; J Y Vaishnav; Scott S Hsieh
Journal:  Med Phys       Date:  2021-01-13       Impact factor: 4.071

9.  Detection of Colorectal Hepatic Metastases Is Superior at Standard Radiation Dose CT versus Reduced Dose CT.

Authors:  Corey T Jensen; Nicolaus A Wagner-Bartak; Lan N Vu; Xinming Liu; Bharat Raval; David Martinez; Wei Wei; Yuan Cheng; Ehsan Samei; Shiva Gupta
Journal:  Radiology       Date:  2018-11-27       Impact factor: 11.105

10.  Radiation dose reduction using 100-kVp and a sinogram-affirmed iterative reconstruction algorithm in adolescent head CT: Impact on grey-white matter contrast and image noise.

Authors:  Yasunori Nagayama; Takeshi Nakaura; Akinori Tsuji; Joji Urata; Mitsuhiro Furusawa; Hideaki Yuki; Kenichiro Hirarta; Masafumi Kidoh; Seitaro Oda; Daisuke Utsunomiya; Yasuyuki Yamashita
Journal:  Eur Radiol       Date:  2016-12-13       Impact factor: 5.315

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