scholarly journals Comparing search strategy in breast tomosynthesis and 2D mammogram: an eye tracking study

2014 ◽  
Vol 14 (10) ◽  
pp. 1192-1192 ◽  
Author(s):  
A. Aizenman ◽  
T. Drew ◽  
D. Georgian-Smith ◽  
J. M. Wolfe
Keyword(s):  
Eye Tracking ◽  
Search Strategy ◽  
Breast Tomosynthesis

Analyzing Visual Search Techniques using Eye Tracking for a Computerized Provider Order Entry (CPOE) Task

2017 ◽  
Vol 61 (1) ◽  
pp. 691-695
Author(s):  
Kylie M. Gomes ◽  
Sara L. Riggs
Keyword(s):  
Visual Search ◽  
Eye Tracking ◽  
Search Strategy ◽  
Healthcare Professionals ◽  
Alternative Methods ◽  
Order Entry ◽  
Patient Identification ◽  
Computerized Provider Order Entry ◽  
Search Patterns ◽  
Tracking Technology

A challenge with current Computerized Provider Order Entry (CPOE) systems includes patient identification errors, i.e. when an incorrect patient’s record is referenced. These types of errors can lead to patient safety issues such as administrating medication to the incorrect patient. Eye tracking technology can provide insights into the visual search patterns of healthcare professionals and shed light on how patient identification errors occur. This study investigates whether there are differences in visual search metrics, response time, and accuracy when searching for a patient by two identifiers – name or date of birth – from a list of patients with similar names. The findings revealed there was no effect of search strategy on speed or accuracy; however, there was an effect on fixation duration and number of fixations within specific areas of interest. Across both search strategies, there were more fixations on names. This demonstrates the importance of a patient’s name regardless of search strategy and is an important consideration to take into account if multiple patients share the same name. This study shows that eye tracking technology can be used to investigate the visual search patterns employed during patient identification and provide insights as to how patient identification errors occur. It also demonstrates a need to develop alternative methods to prevent patient identification errors apart from relying on healthcare professionals to verify patient identity.

Optimizing viewing procedures of breast tomosynthesis image volumes using eye tracking combined with a free response human observer study

2011 ◽  
Author(s):  
Kristina Lång ◽  
Sophia Zackrisson ◽  
Kenneth Holmqvist ◽  
Marcus Nystrom ◽  
Ingvar Andersson ◽  
...  
Keyword(s):  
Eye Tracking ◽  
Human Observer ◽  
Free Response ◽  
Breast Tomosynthesis ◽  
Observer Study

scholarly journals How does a 2D preview help a 3D search? – An eye tracking study of Digital Breast Tomosynthesis

2021 ◽  
Vol 21 (9) ◽  
pp. 2155
Author(s):  
Chia-Chien Wu ◽  
Nicholas D'ardenne ◽  
Robert Nishikawa ◽  
Jeremy Wolfe
Keyword(s):  
Eye Tracking ◽  
Digital Breast Tomosynthesis ◽  
Breast Tomosynthesis

scholarly journals Visual search in breast imaging

2019 ◽  
Vol 92 (1102) ◽  
pp. 20190057 ◽  
Author(s):  
Ziba Gandomkar ◽  
Claudia Mello-Thoms
Keyword(s):  
Visual Search ◽  
Eye Tracking ◽  
Diagnostic Accuracy ◽  
Breast Imaging ◽  
Diagnostic Errors ◽  
Digital Breast Tomosynthesis ◽  
Imaging Modalities ◽  
Radiology Workflow ◽  
Breast Tomosynthesis ◽  
The Past

Breast cancer is the most common cancer among females worldwide and large volumes of breast images are produced and interpreted annually. As long as radiologists interpret these images, the diagnostic accuracy will be limited by human factors and both false-positive and false-negative errors might occur. By understanding visual search in breast images, we may be able to identify causes of diagnostic errors, find ways to reduce them, and also provide a better education to radiology residents. Many visual search studies in breast radiology have been devoted to mammography. These studies showed that 70% of missed lesions on mammograms attract radiologists’ visual attention and that a plethora of different reasons, such as satisfaction of search, incorrect background sampling, and incorrect first impression can cause diagnostic errors in the interpretation of mammograms. Recently, highly accurate tools, which rely on both eye-tracking data and the content of the mammogram, have been proposed to provide feedback to the radiologists. Improving these tools and determining the optimal pathway to integrate them in the radiology workflow could be a possible line of future research. Moreover, in the past few years deep learning has led to improving diagnostic accuracy of computerized diagnostic tools and visual search studies will be required to understand how radiologists interact with the prompts from these tools, and to identify the best way to utilize them. Visual search in other breast imaging modalities, such as breast ultrasound and digital breast tomosynthesis, have so far received less attention, probably due to associated complexities of eye-tracking monitoring and analysing the data. For example, in digital breast tomosynthesis, scrolling through the image results in longer trials, adds a new factor to the study’s complexity and makes calculation of gaze parameters more difficult. However, considering the wide utilization of three-dimensional imaging modalities, more visual search studies involving reading stack-view examinations are required in the future. To conclude, in the past few decades visual search studies provided extensive understanding about underlying reasons for diagnostic errors in breast radiology and characterized differences between experts’ and novices’ visual search patterns. Further visual search studies are required to investigate radiologists’ interaction with relatively newer imaging modalities and artificial intelligence tools.

scholarly journals Impact of an educational intervention on eye gaze behaviour in retinal image interpretation by consultant and trainee ophthalmologists

2019 ◽  
Vol 26 (2) ◽  
pp. 1419-1430
Author(s):  
Kate Shirley ◽  
Michael Williams ◽  
Laura McLaughlin ◽  
Nicola Parker ◽  
Raymond Bond
Keyword(s):  
Eye Tracking ◽  
Retinal Image ◽  
Search Strategy ◽  
Eye Gaze ◽  
Image Interpretation ◽  
Clinical Signs ◽  
Retinal Images ◽  
Teaching Intervention ◽  
Post Intervention ◽  
Trainee Group

This study uses eye-tracking technology to assess the differences in gaze behaviours between ophthalmologists of different experience levels while interpreting retinal images of diabetic retinopathy. The differences in gaze behaviours before and after a teaching intervention which introduced a suggested search strategy is also investigated. A total of 9 trainees and 10 consultant ophthalmologists interpreted six retinal images. They were then shown a 5-min tutorial that demonstrated a search strategy. This was followed by six further retinal image interpretations. Participants completed questionnaires indicating clinical signs seen, appropriate retinopathy grade, and confidence. Eye movements were tracked during each interpretation.Overall, trainees compared to consultants demonstrated more uncertain and unstructured gaze behaviours. Trainee eye gaze metrics included: longer interpretation time, 36.5 s (SD = 6.2 vs. 31.4 s) (SD = 4.2) (p = 0.024), higher visit count, 17.38 visits (SD = 5.13) versus 12.18 visits(SD = 2.64) (p = 0.01), higher proportion of fixation, 57.0 per cent (SD = 5) versus 50.5 per cent (SD = 5) (p = 0.05) and shorter time to first fixation, 0.232 s (SD = 0.10) versus 0.821 s (SD = 0.77) (p = 0.001), respectively. The teaching intervention resulted in more focused gaze patterns in both groups. Pre-intervention and post-intervention mean proportion fixation on areas of interest were 38.6 per cent (SD = 6.8) and 51.8 per cent (SD = 13.9) for the trainee group, respectively, and 39.9 per cent (SD = 4.1) and 50.9 per cent (SD = 9.3) for the consultant group (p = 0.01).Consultants used more systematic and efficient approaches than trainees during interpretation. After the introduction of a suggested search strategy, trainees showed trends towards consultant eye gaze behaviours. Eye tracking gives an interesting insight into the thought processes of physicians carrying out complex tasks. The implication is that eye tracking may have future use in teaching and assessment. Its use in objectively assessing different teaching strategies could be a valuable tool for medical education.

scholarly journals Investigation of viewing procedures for interpretation of breast tomosynthesis image volumes: a detection-task study with eye tracking

2012 ◽  
Vol 23 (4) ◽  
pp. 997-1005 ◽  
Author(s):  
Pontus Timberg ◽  
Kristina Lång ◽  
Marcus Nyström ◽  
Kenneth Holmqvist ◽  
Philippe Wagner ◽  
...  
Keyword(s):  
Eye Tracking ◽  
Detection Task ◽  
Breast Tomosynthesis
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