Oncotarget

Clinical Research Papers:

Low-dose CT with adaptive statistical iterative reconstruction for evaluation of urinary stone

Xiaohu Li _, Hongmin Shu, Yifei Zhang, Xiaoshu Li, Jian Song, Junhua Du, Yinfeng Qian, Bin Liu and Yongqiang Yu

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Oncotarget. 2018; 9:20103-20111. https://doi.org/10.18632/oncotarget.25047

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Abstract

Xiaohu Li1,*, Hongmin Shu1,*, Yifei Zhang2, Xiaoshu Li1, Jian Song1, Junhua Du2, Yinfeng Qian1, Bin Liu1 and Yongqiang Yu1

1Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China

2Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China

*These authors contributed equally to this work and co-first authors

Correspondence to:

Yongqiang Yu, email: [email protected]

Bin Liu, email: [email protected]

Keywords: urinary stone; low dose; adaptive statistical iterative reconstruction; computed tomography

Received: September 25, 2017     Accepted: March 24, 2018     Published: April 13, 2018

ABSTRACT

Purpose: To prospectively determine the diagnostic performance of low-dose CT (LDCT) with adaptive statistical iterative reconstruction (ASIR) technique for the detection of urinary stone disease.

Results: The average DLP and ED was 408.16 ± 119.04 mGy and 6.12 ± 1.79 mSv in CDCT, and 138.19 ± 76.87 mGy and 2.07 ± 1.15 mSv in LDCT, respectively. The dose reduction rate of LDCT was nearly 66.1% for both DLP and ED (P < 0.05). LDCT–80% ASIR images showed great image quality (mean score = 4.09), which was similar to CDCT-FBP images (mean score = 4.17) (P > 0.05), but higher than LDCT-FBP images (mean score = 2.77) (P < 0.05).

Materials and Methods: 70 consetutive patients with clinically suspected urolithiasis underwent non-enhanced CT. Followed by both conventional-dose CT (CDCT) and low-dose CT (LDCT) scans. Automatic tube current modulation (ATCM) scanning was used, with a noise index setting of 13 in CDCT and 25 in LDCT. Reconstructions were performed with filtered back projection (FBP) and different settings of adaptive statistical iterative reconstruction [ASIR(40%, 60%, 80%)]. Urinary calculi (size, location, number), image quality (scale 1–5), image noise (scale 1–3) and diagnostic confidence levels (scale 1–3) were evaluated and measured by two radiologists independently. Radiation dose was recorded by calculating dose length product (DLP) and effective dose (ED). Statistical analyses included Mann-Whitney U test and Paired t tests.

Conclusions: LDCT with ASIR can reduce the radiation dose while maintain relatively high image quality in the diagnosis of urinary stone diseases.


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