Markers of Good Performance in Mammography Depend on Number of Annual Readings

Rawashdeh, Mohammad; Lee, Warwick B.; Bourne, Roger; Ryan, Elaine; Pietrzyk, Mariusz W.; Reed, Warren; Heard, Robert; Black, Deborah; Brennan, Patrick C.

doi:10.1148/radiol.13122581

Cited by 96 publications

(98 citation statements)

References 23 publications

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“…Also, factors such as age, academic qualification or training, and number of years since qualification have been shown to influence accuracy of image interpretation. 11,12 While radiographers in the developed world acquire formal training in image interpretation, 4 there is no postgraduate training program in X-ray interpretation in Nigeria as yet. However, radiographers attain informal knowledge of image interpretation during practice through personal study, from radiologists, and other radiographers knowledgeable in X-ray interpretation.…”

mentioning

confidence: 99%

Radiographers' performance in chest X-ray interpretation: the Nigerian experience

Ekpo¹,

Egbe²,

Akpan³

2015

BJR

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mentioning

confidence: 99%

Radiographers' performance in chest X-ray interpretation: the Nigerian experience

Ekpo¹,

Egbe²,

Akpan³

2015

BJR

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“…In comparison, studies on breast radiologists have a reported JAFROC score of .79 12 . There may be a range of reasons for this outcome.…”

Section: Discussionmentioning

confidence: 99%

A ‘snapshot’ of the visual search behaviours of medical sonographers

Carrigan

Brennan

Pietrzyk

et al. 2015

Australas J Ultrason Med

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Introduction: Visual search is a task that humans perform in everyday life. Whether it involves looking for a pen on a desk or a mass in a mammogram, the cognitive and perceptual processes that underpin these tasks are identical. Radiologists are experts in visual search of medical images and studies on their visual search behaviours have revealed some interesting findings with regard to diagnostic errors. In Australia, within the modality of ultrasound, sonographers perform the diagnostic scan, select images and present to the radiologist for reporting. Therefore the visual task and potential for errors is similar to a radiologist. Our aim was to explore and understand the detection, localisation and eye‐gaze behaviours of a group of qualified sonographers. Method: We measured clinical performance and analysed diagnostic errors by presenting fifty sonographic breast images that varied on cancer present and degree of difficulty to a group of sonographers in their clinical workplace. For a sub‐set of sonographers we obtained eye‐tracking metrics such as time‐to‐first fixation, total visit duration and cumulative dwell time heat maps. Results: The results indicate that the sonographers' clinical performance was high and the eye‐tracking metrics showed diagnostic error types similar to those found in studies on radiologist visual search. Conclusion: This study informs us about sonographer visual search patterns and highlights possible ways to improve diagnostic performance via targeted education.

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“…3b. Radiologists with higher expertise read more mammograms and have a better diagnostic performance [27]; hence, it is possible that they have a better idea as to what kinds of image appearance can cause difficulties in diagnosis. As a result, they may have chosen the areas more likely to cause interpretation problems as MD.…”

Section: Discussionmentioning

confidence: 99%

An Investigation into the Consistency in Mammographic Density Identification by Radiologists: Effect of Radiologist Expertise and Mammographic Appearance

Brennan

Lee

et al. 2015

J Digit Imaging

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The aim of this work is to investigate how radiologist expertise and image appearance may have an impact on inter-reader variability of mammographic density (MD) identification. Seventeen radiologists, divided into three expertise groups, were asked to manually segment the areas they consider to be MD in 40 clinical images. The variation in identification of MD for each image was quantified by finding the range of segmentation areas. The impact of radiologist expertise and image appearance on this variation was explored. The range of areas chosen by participating radiologists varied from 7 to 73 % across the 40 images, with a mean range of 35± 13 %. Participants with high expertise were more likely to choose similar areas to one another, compared to participants with medium and low expertise levels (mean range were 19± 10 %, 29±13 % and 25±14 %, respectively, p<0.0001). There was a significantly higher average grey level for the area segmented by all radiologists as MD compared to the area of variation, with mean grey level value for 8-bit images being 146±19 vs. 99±14, respectively. MD segmentation borders were consistent in areas where there was a sharp intensity change within a short distance. In conclusion, radiologists with high expertise tend to have a higher agreement when identifying MD. Tissues which have a lower contrast and a less visually sharp gradient change at the interface between high density tissue and adipose background lead to interreader variation in choosing mammographic density.

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Markers of Good Performance in Mammography Depend on Number of Annual Readings

Abstract: Radiologists' determinants of performance are associated with annual reading volumes. Ability to recognize normal images is a discriminating factor in individuals with a high volume of mammographic readings.

Cited by 96 publications

References 23 publications

Radiographers' performance in chest X-ray interpretation: the Nigerian experience

Radiographers' performance in chest X-ray interpretation: the Nigerian experience

A ‘snapshot’ of the visual search behaviours of medical sonographers

An Investigation into the Consistency in Mammographic Density Identification by Radiologists: Effect of Radiologist Expertise and Mammographic Appearance

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