Characterizing Diagnostic Search Patterns in Digital Breast Pathology: Scanners and Drillers

Mercan, Ezgi; Shapiro, Linda G.; Brunyé, Tad T.; Weaver, Donald L.; Elmore, Joann G.

doi:10.1007/s10278-017-9990-5

Cited by 27 publications

(30 citation statements)

References 31 publications

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“…An alternative strategy is to change depth more slowly, and make eye movements across a larger area of the image ( Drew et al, 2013 ) ( Figure 1 ). Similar patterns have been found in searches through digital breast pathology images, in which observers “zoom” in and out of a single image, rather than scroll through image stacks ( Mercan, Shapiro, Brunyé, Weaver, & Elmore, 2018 ). These strategies may depend on the body part imaged, with “scanning” being more likely in studies of larger body parts: when intending to search a small anatomic region, it makes little sense to make large eye movements.…”

Section: Introductionsupporting

confidence: 56%

What do radiologists look for? Advances and limitations of perceptual learning in radiologic search

et al. 2020

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Supported by guidance from training during residency programs, radiologists learn clinically relevant visual features by viewing thousands of medical images. Yet the precise visual features that expert radiologists use in their clinical practice remain unknown. Identifying such features would allow the development of perceptual learning training methods targeted to the optimization of radiology training and the reduction of medical error. Here we review attempts to bridge current gaps in understanding with a focus on computational saliency models that characterize and predict gaze behavior in radiologists. There have been great strides toward the accurate prediction of relevant medical information within images, thereby facilitating the development of novel computer-aided detection and diagnostic tools. In some cases, computational models have achieved equivalent sensitivity to that of radiologists, suggesting that we may be close to identifying the underlying visual representations that radiologists use. However, because the relevant bottom-up features vary across task context and imaging modalities, it will also be necessary to identify relevant top-down factors before perceptual expertise in radiology can be fully understood. Progress along these dimensions will improve the tools available for educating new generations of radiologists, and aid in the detection of medically relevant information, ultimately improving patient health. Error rates in radiology The long-term goal of most studies of radiologist performance is to reduce error. Although it is difficult to determine the precise error rates in current clinical practice, it is clear that reductions in error rate would improve patient care. The diagnostic error rate in a typical clinical practice (comprising both normal

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Section: Introductionsupporting

confidence: 56%

What do radiologists look for? Advances and limitations of perceptual learning in radiologic search

et al. 2020

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“…Similarly, although both scanners and drillers could be identified in examinations of abdominal and pelvic CT, there was no accuracy advantage associated with being a driller (Kelahan et al, 20192019). The scanner/driller distinction has also recently been extended to the realm of digital pathology, where clinicians pan and zoom into large images to more closely view suspicious regions (Mercan, Shapiro, Brunyé, Weaver, & Elmore, 2018). In this domain, scanning appears to be the dominant strategy, but there were no differences in performance.…”

Section: What Can We Learn About Medical Image Perception From Basic mentioning

confidence: 99%

“…This evidence, in addition to a number of critical behavioral and eye-tracking measures, suggests that experienced pathologists have an increased ability to rapidly extract the most important information from medical images. Other studies have highlighted the similarities in search strategies between digital pathology and volumetric imaging (Mercan et al, 2018), but it is largely unclear how these findings relate to expertise in either domain. In addition, there are clear differences between these images: choosing to view a visible part of the image at a greater resolution is not the same as scrolling to reveal visual information that is embedded throughout the depth of the image.…”

Section: What Can We Learn About Medical Image Perception From Basic mentioning

confidence: 99%

What do we know about volumetric medical image interpretation?: a review of the basic science and medical image perception literatures

Williams

Drew

2019

Cogn. Research

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Interpretation of volumetric medical images represents a rapidly growing proportion of the workload in radiology. However, relatively little is known about the strategies that best guide search behavior when looking for abnormalities in volumetric images. Although there is extensive literature on two-dimensional medical image perception, it is an open question whether the conclusions drawn from these images can be generalized to volumetric images. Importantly, volumetric images have distinct characteristics (e.g., scrolling through depth, smooth-pursuit eye-movements, motion onset cues, etc.) that should be considered in future research. In this manuscript, we will review the literature on medical image perception and discuss relevant findings from basic science that can be used to generate predictions about expertise in volumetric image interpretation. By better understanding search through volumetric images, we may be able to identify common sources of error, characterize the optimal strategies for searching through depth, or develop new training and assessment techniques for radiology residents.

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“…There has been a limited amount of research into search through 3D volumes of image data [28,29,30,31,32,33]. These 3D volumes of data represent an increase in the information/images that observers need to process.…”

Section: Scanpaths: Searching In Scenes and Medical Imagesmentioning

confidence: 99%

Eye Movements in Medical Image Perception: A Selective Review of Past, Present and Future

Wolfe

2019

Vision

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The eye movements of experts, reading medical images, have been studied for many years. Unlike topics such as face perception, medical image perception research needs to cope with substantial, qualitative changes in the stimuli under study due to dramatic advances in medical imaging technology. For example, little is known about how radiologists search through 3D volumes of image data because they simply did not exist when earlier eye tracking studies were performed. Moreover, improvements in the affordability and portability of modern eye trackers make other, new studies practical. Here, we review some uses of eye movements in the study of medical image perception with an emphasis on newer work. We ask how basic research on scene perception relates to studies of medical ‘scenes’ and we discuss how tracking experts’ eyes may provide useful insights for medical education and screening efficiency.

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Characterizing Diagnostic Search Patterns in Digital Breast Pathology: Scanners and Drillers

Cited by 27 publications

References 31 publications

What do radiologists look for? Advances and limitations of perceptual learning in radiologic search

What do radiologists look for? Advances and limitations of perceptual learning in radiologic search

What do we know about volumetric medical image interpretation?: a review of the basic science and medical image perception literatures

Eye Movements in Medical Image Perception: A Selective Review of Past, Present and Future

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