Literature DB >> 16916803

The effect of experience on detectability in local area anatomical noise.

D S Brettle1, E Berry, M A Smith.   

Abstract

The aim of this study was to investigate if the ability to detect clinically relevant signals, within local area clinically relevant texture, is related to experience. A two alternative forced choice interleaved staircase experiment was conducted on 101 observers split into three groups; group 1 with diagnostic experience, group 2 with experience of imaging but not of making a diagnosis and group 3 with no experience of imaging. Thresholds of detection within synthesized, clinically representative textures were measured for a 15 mm simulated lesion within an MR T1 weighted brain texture and a 2.5 mm diameter simulated lesion embedded within X-ray trabecular bone texture. The results showed that there was a significant difference in threshold detectability between the groups for the brain texture at the 95% significance level but not for the bone texture. The experienced group did not demonstrate a correlation between their bone and brain results. However, the inexperienced group had a significant correlation between the bone and brain results. There was a significant correlation between increasing experience and detectability but this was dependent on the composition of the local area anatomical noise.

Mesh:

Year:  2006        PMID: 16916803     DOI: 10.1259/bjr/66715796

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  2 in total

1.  Grey-scale inversion improves detection of lung nodules.

Authors:  J W Robinson; J T Ryan; M F McEntee; S J Lewis; M G Evanoff; L A Rainford; P C Brennan
Journal:  Br J Radiol       Date:  2012-05-09       Impact factor: 3.039

2.  Grey-scale inversion improves detection of lung nodules.

Authors:  J W Robinson; J T Ryan; M F McEntee; S J Lewis; M G Evanoff; L A Rainford; P C Brennan
Journal:  Br J Radiol       Date:  2013-01       Impact factor: 3.039

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.