TY - JOUR
T1 - Reader Performance as a Function of Patient Size for the Detection of Hepatic Metastases
AU - Gong, Hao
AU - Yu, Lifeng
AU - Leng, Shuai
AU - Fletcher, Joel G.
AU - McCollough, Cynthia H.
N1 - Funding Information:
This study was sponsored by National Institute of Biomedical Imaging and Bioengineering of the National Institutes of Health under award numbers R01 EB017095 and U01 EB017185. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Funding Information:
C.H.M. and J.G.F. received industry grant support from Siemens Healthineers, Inc., Erlangen, Germany. The other authors declare no conflict of interest.
Publisher Copyright:
© Wolters Kluwer Health, Inc. All rights reserved.
PY - 2021
Y1 - 2021
N2 - Objective To investigate reader performance as a function of patient size for the detection of hepatic metastases when an automatic exposure control (AEC) system is used, which varies image noise as a function of patient size. Methods Abdominal computed tomograhy examinations across 100, 120, 160, and 200 quality reference tube current-time product were collected, involving a cohort of 83 patients. Three radiologists identified hepatic metastases across all dose levels. Partial Spearman rank correlation and multivariate logistic regression were used to evaluate correlations between reader performance and patient size and lesion size/contrast while accounting for potential confounding effects. Analyses were repeated on an emulated less-variable noise AEC. Results No statistically significant correlation was observed between patient size and radiologist performance (for variable-noise AEC: range of partial Spearman ρ, -0.157 to -0.035]; range of adjusted odds ratios, 0.987, 1.006). Conclusions Reader performance was independent of patient size, suggesting that variable-noise AEC provides better modulation for larger patients than constant-noise AEC.
AB - Objective To investigate reader performance as a function of patient size for the detection of hepatic metastases when an automatic exposure control (AEC) system is used, which varies image noise as a function of patient size. Methods Abdominal computed tomograhy examinations across 100, 120, 160, and 200 quality reference tube current-time product were collected, involving a cohort of 83 patients. Three radiologists identified hepatic metastases across all dose levels. Partial Spearman rank correlation and multivariate logistic regression were used to evaluate correlations between reader performance and patient size and lesion size/contrast while accounting for potential confounding effects. Analyses were repeated on an emulated less-variable noise AEC. Results No statistically significant correlation was observed between patient size and radiologist performance (for variable-noise AEC: range of partial Spearman ρ, -0.157 to -0.035]; range of adjusted odds ratios, 0.987, 1.006). Conclusions Reader performance was independent of patient size, suggesting that variable-noise AEC provides better modulation for larger patients than constant-noise AEC.
KW - X-ray computed tomography
KW - automatic exposure control
KW - hepatic metastasis
KW - observer performance
KW - task performance and analysis
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U2 - 10.1097/RCT.0000000000001200
DO - 10.1097/RCT.0000000000001200
M3 - Article
C2 - 34347711
AN - SCOPUS:85121963712
SN - 0363-8715
VL - 45
SP - 812
EP - 819
JO - Journal of computer assisted tomography
JF - Journal of computer assisted tomography
IS - 6
ER -