Work

Reader Performance as a Function of Patient Size for the Detection of Hepatic Metastases

Year: 2021

Type: article

Abstract: 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.

Source: Journal of Computer Assisted Tomography

DOI: 10.1097/rct.0000000000001200

Authors: Hao Gong, Lifeng Yu, Shuai Leng, Joel G. Fletcher, Cynthia H. McCollough

Institutions: Mayo Clinic, National Institute of Biomedical Imaging and Bioengineering

Language: English

Topic: Radiation Dose and Imaging

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funder: National Institute of Biomedical Imaging and Bioengineering