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

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

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)812-819
Number of pages8
JournalJournal of computer assisted tomography
Volume45
Issue number6
DOIs
StatePublished - Nov 1 2021

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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