2006
DOI: 10.1016/j.radi.2005.02.003
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How do radiologists do it? The influence of experience and training on searching for chest nodules

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Cited by 174 publications
(185 citation statements)
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“…Experienced radiographers frequently demonstrate comparable detection performance to experts in nodule detection tasks (Donovan & Litchfield, 2013;Litchfield et al, 2010;Manning, Barker-Mill, Donovan, & Crawford, 2005;Manning et al, 2006) and fracture detection tasks . As such, we do not believe this drop in accuracy was due to a lack of expertise, but instead due to increasing task demands.…”
Section: Discussionmentioning
confidence: 99%
“…Experienced radiographers frequently demonstrate comparable detection performance to experts in nodule detection tasks (Donovan & Litchfield, 2013;Litchfield et al, 2010;Manning, Barker-Mill, Donovan, & Crawford, 2005;Manning et al, 2006) and fracture detection tasks . As such, we do not believe this drop in accuracy was due to a lack of expertise, but instead due to increasing task demands.…”
Section: Discussionmentioning
confidence: 99%
“…In previously reported studies we have investigated observer experience [1,2] and the effects of lesion conspicuity [3] on performance in nodule detection from plain chest radiology. Comparisons of diagnostic performance through alternate free response receiver operating characteristic (AFROC) [4] showed that after training and extensive caseload experience radiographers' detection rate improved to approach that of the experts.…”
mentioning
confidence: 99%
“…Accordingly, experts in a specific domain can draw on their acquired knowledge to be more selective in the information they use to make decisions and are less likely to look at conspicuous but non-informative areas of a scene (for a recent meta-analysis, see Gegenfurtner, Lehtinan, & Säljö, 2011). Indeed, experts in medical image perception are much more selective than novices in deciding where to look (Donovan & Litchfield, 2013;Krupinski, 1996;Kundel & La Follette, 1972;Manning, Ethell, & Crawford, 2003;Manning, Ethell, & Donovan, 2004;Manning, Ethell, Donovan, & Crawford, 2006), and exhibit efficient scanpaths that allow abnormalities to be detected quickly (Krupinski, 1996;Kundel, Nodine, Conant, & Weinstein, 2007;Kundel, Nodine, Krupinski, & Mello-Thoms, 2008), whilst minimizing unnecessary fixations (Manning et al, 2006). Consequently, this allows experts to inspect medical images faster than less experienced observers without compromising on decision accuracy (Nodine, Mello-Thoms, Kundel, & Weinstein, 2002), and there is much to learn from viewing how experts search these complex images (Litchfield, Ball, Donovan, Manning, & Crawford, 2010).…”
Section: Introductionmentioning
confidence: 99%
“…A recurring finding of expert/novice studies is that not only can experts correctly identify more abnormalities than novices, the time taken to first fixate abnormalities (search latency) is faster for experts compared to novices (Donovan & Litchfield, 2013;Krupinski, 1996;Kundel, et al, 2007;Kundel, Nodine, Krupinski, & Mello-Thoms 2008;Nodine & MelloThoms, 2010;Reingold & Sheridan, 2011). Related to this, experts tend to make longer saccades than novices and these larger eye movements across the image help experts reach targets faster (Krupinski, 1996;Kundel, et al, 2007;Kundel et al, 2008;Manning et al, 2006). According to the holistic model the initial global analysis of the image is thought to initiate and guide search and so this efficiency in expert search behaviour is attributed to experts exploiting global processing that less experienced observers cannot (Kundel et al, 2007).…”
Section: Introductionmentioning
confidence: 99%