RESEARCH ARTICLE
Low-dose abdominopelvic computed
tomography in patients with lymphoma: An
image quality and radiation dose reduction
study
Sungjin Yoon
1¤‡
, Kwai Han Yoo
2‡
, So Hyun Park
ID
1
*, Hawk Kim
2
, Jae Hoon Lee
2
,
Jinny Park
2
, Seong Ho Park
3
, Hwa Jung Kim
4
1 Department of Radiology, Gil Medical Center, Gachon University College of Medicine, Incheon, Republic of
Korea, 2 Department of Internal Medicine, Gachon University Gil Medical Center, Gachon University College
of Medicine, Incheon, Korea, 3 Department of Radiology and Research Institute of Radiology, University of
Ulsan College of Medicine, Asan Medical Center, Seoul, Korea, 4 Department of Clinical Epidemiology and
Biostatistics, Asan Medical Center, Ulsan University College of Medicine, Seoul, Korea
¤ Current address: Department of Radiology, Chungju Medical Center, Chungju-si, Chungcheongbuk-do,
Republic of Korea
‡ SY and KHY are contributed equally to this study and share the first authorship.
* nnoleeter@naver.com
Abstract
This study aimed to evaluate image quality, the detection rate of enlarged lymph nodes, and
radiation dose exposure of ultralow-dose and low-dose abdominopelvic computed tomogra-
phy (CT) in patients with lymphoma. Patients with lymphoma who underwent abdominopelvic
CT using dual-source scanner were retrospectively recruited from a single center. CT images
were obtained at 90 kVp dual-source mode reformatted in three data sets using the advanced
modelled iterative reconstruction algorithm: 100% (standard-dose CT), 66.7% (low-dose
CT), and 33.3% (ultralow-dose CT). Two radiologists analyzed subjective image quality and
detection of abdominal enlarged lymph nodes on ultralow-dose, low-dose, and standard-
dose CT blindly and independently. The results were compared with reference standards.
Three readers (two radiologists and one hematologist) reviewed overall image quality and
spleen size. In total, 128 consecutive CT scans (77 complete response, 44 partial response,
6 progressive disease, and 1 initial evaluation) from 86 patients (64 B-cell lymphoma, 14 T/
NK-cell lymphoma, and 8 Hodgkin’s lymphoma cases) were assessed. The enlarged lymph
node-based detection rates for two readers were 97.0% (96/99) and 94.0% (93/99) on stan-
dard-dose CT, 97.0% (96/99) and 94.0% (93/99) on low-dose CT, and 94.0% (93/99) and
89.9% (89/99) on ultralow-dose CT. Overall image quality was 3.8 ± 0.5, 3.9 ± 0.5, and 4.1 ±
0.5 on ultralow-dose CT; 4.7 ± 0.4, 4.6 ± 0.5, and 4.8 ± 0.3 on low-dose CT; and 4.8 ± 0.4, 4.7
± 0.4, and 4.9 ± 0.2 on standard-dose CT, according to two radiologists and one hematolo-
gist, respectively. Intraclass correlation coefficients of spleen size were 0.90 (95% confidence
interval [CI], 0.87–0.93), 0.91 (95% CI, 0.88–0.93), and 0.91 (95% CI, 0.88–0.93) on ultra-
low-dose, low-dose, and standard-dose CT, respectively. Mean effective radiation doses of
standard-dose, low-dose, and ultralow-dose CT were 5.7 ±1.8 mSv, 3.8 ± 1.2 mSv, and 1.9 ±
0.6 mSv, respectively. Our findings suggest that ultralow-dose and low-dose CT, even with
PLOS ONE
PLOS ONE | https://doi.org/10.1371/journal.pone.0272356 August 11, 2022 1 / 14
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OPEN ACCESS
Citation: Yoon S, Yoo KH, Park SH, Kim H, Lee JH,
Park J, et al. (2022) Low-dose abdominopelvic
computed tomography in patients with lymphoma:
An image quality and radiation dose reduction
study. PLoS ONE 17(8): e0272356. https://doi.org/
10.1371/journal.pone.0272356
Editor: Gayle E. Woloschak, Northwestern
University Feinberg School of Medicine, UNITED
STATES
Received: January 8, 2022
Accepted: July 18, 2022
Published: August 11, 2022
Copyright: © 2022 Yoon et al. This is an open
access article distributed under the terms of the
Creative Commons Attribution License, which
permits unrestricted use, distribution, and
reproduction in any medium, provided the original
author and source are credited.
Data Availability Statement: The data for this
study contain potentially identifying information.
The data are contained in the Supporting
Information files and available from the Data
Access Gil hospital contact via Young-Sup Shim
(shimbong78@gilhospital.com).
Funding: This research was supported by the Basic
Science Research Program through the National
Research Foundation of Korea and funded by the
Ministry of Science ICT and Future Planning