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Alexander RG, Yazdanie F, Waite S, Chaudhry ZA, Kolla S, Macknik SL, Martinez-Conde S. Visual Illusions in Radiology: Untrue Perceptions in Medical Images and Their Implications for Diagnostic Accuracy. Front Neurosci 2021; 15:629469. [PMID: 34177444 PMCID: PMC8226024 DOI: 10.3389/fnins.2021.629469] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 04/19/2021] [Indexed: 11/13/2022] Open
Abstract
Errors in radiologic interpretation are largely the result of failures of perception. This remains true despite the increasing use of computer-aided detection and diagnosis. We surveyed the literature on visual illusions during the viewing of radiologic images. Misperception of anatomical structures is a potential cause of error that can lead to patient harm if disease is seen when none is present. However, visual illusions can also help enhance the ability of radiologists to detect and characterize abnormalities. Indeed, radiologists have learned to exploit certain perceptual biases in diagnostic findings and as training tools. We propose that further detailed study of radiologic illusions would help clarify the mechanisms underlying radiologic performance and provide additional heuristics to improve radiologist training and reduce medical error.
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Affiliation(s)
- Robert G Alexander
- Department of Ophthalmology, State University of New York Downstate Health Sciences University, Brooklyn, NY, United States.,Department of Neurology, State University of New York Downstate Health Sciences University, Brooklyn, NY, United States.,Department of Physiology and Pharmacology, State University of New York Downstate Health Sciences University, Brooklyn, NY, United States
| | - Fahd Yazdanie
- Department of Radiology, State University of New York Downstate Health Sciences University, Brooklyn, NY, United States
| | - Stephen Waite
- Department of Radiology, State University of New York Downstate Health Sciences University, Brooklyn, NY, United States
| | - Zeshan A Chaudhry
- Department of Radiology, State University of New York Downstate Health Sciences University, Brooklyn, NY, United States
| | - Srinivas Kolla
- Department of Radiology, State University of New York Downstate Health Sciences University, Brooklyn, NY, United States
| | - Stephen L Macknik
- Department of Ophthalmology, State University of New York Downstate Health Sciences University, Brooklyn, NY, United States.,Department of Neurology, State University of New York Downstate Health Sciences University, Brooklyn, NY, United States.,Department of Physiology and Pharmacology, State University of New York Downstate Health Sciences University, Brooklyn, NY, United States
| | - Susana Martinez-Conde
- Department of Ophthalmology, State University of New York Downstate Health Sciences University, Brooklyn, NY, United States.,Department of Neurology, State University of New York Downstate Health Sciences University, Brooklyn, NY, United States.,Department of Physiology and Pharmacology, State University of New York Downstate Health Sciences University, Brooklyn, NY, United States
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Johnston IA, Ji M, Cochrane A, Demko Z, Robbins JB, Stephenson JW, Green CS. Perceptual Learning of Appendicitis Diagnosis in Radiological Images. J Vis 2020; 20:16. [PMID: 32790849 PMCID: PMC7438669 DOI: 10.1167/jov.20.8.16] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
A sizeable body of work has demonstrated that participants have the capacity to show substantial increases in performance on perceptual tasks given appropriate practice. This has resulted in significant interest in the use of such perceptual learning techniques to positively impact performance in real-world domains where the extraction of perceptual information in the service of guiding decisions is at a premium. Radiological training is one clear example of such a domain. Here we examine a number of basic science questions related to the use of perceptual learning techniques in the context of a radiology-inspired task. On each trial of this task, participants were presented with a single axial slice from a CT image of the abdomen. They were then asked to indicate whether or not the image was consistent with appendicitis. We first demonstrate that, although the task differs in many ways from standard radiological practice, it nonetheless makes use of expert knowledge, as trained radiologists who underwent the task showed high (near ceiling) levels of performance. Then, in a series of four studies we show that (1) performance on this task does improve significantly over a reasonably short period of training (on the scale of a few hours); (2) the learning transfers to previously unseen images and to untrained image orientations; (3) purely correct/incorrect feedback produces weak learning compared to more informative feedback where the spatial position of the appendix is indicated in each image; and (4) there was little benefit seen from purposefully structuring the learning experience by starting with easier images and then moving on to more difficulty images (as compared to simply presenting all images in a random order). The implications for these various findings with respect to the use of perceptual learning techniques as part of radiological training are then discussed.
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Affiliation(s)
| | - Mohan Ji
- Department of Psychology, University of Wisconsin-Madison, Madison, WI, USA
| | - Aaron Cochrane
- Department of Psychology, University of Wisconsin-Madison, Madison, WI, USA
| | - Zachary Demko
- Department of Psychology, University of Wisconsin-Madison, Madison, WI, USA
| | - Jessica B Robbins
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Jason W Stephenson
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - C Shawn Green
- Department of Psychology, University of Wisconsin-Madison, Madison, WI, USA
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Hayashi K, Aono S, Fujiwara M, Shiro Y, Ushida T. Difference in eye movements during gait analysis between professionals and trainees. PLoS One 2020; 15:e0232246. [PMID: 32353030 PMCID: PMC7192381 DOI: 10.1371/journal.pone.0232246] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Accepted: 04/11/2020] [Indexed: 11/18/2022] Open
Abstract
INTRODUCTION Observational gait analysis is a widely used skill in physical therapy. Meanwhile, the skill has not been investigated using objective assessments. The present study investigated the differences in eye movement between professionals and trainees, while observing gait analysis. METHODS The participants included in this study were 26 professional physical therapists and 26 physical therapist trainees. The participants, wearing eye tracker systems, were asked to describe gait abnormalities of a patient as much as possible. The eye movement parameters of interest were fixation count, average fixation duration, and total fixation duration. RESULTS The number of gait abnormalities described was significantly higher in professionals than in trainees, overall and in limbs of the patient. The fixation count was significantly higher in professionals when compared to trainees. Additionally, the average fixation duration and total fixation duration were significantly shorter in professionals. Conversely, in trunks, the number of gait abnormalities and eye movements showed no significant differences between groups. CONCLUSIONS Professionals require shorter fixation durations on areas of interest than trainees, while describing a higher number of gait abnormalities.
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Affiliation(s)
- Kazuhiro Hayashi
- Multidisciplinary Pain Center, Aichi Medical University, Nagakute, Japan
- Department of Rehabilitation, Aichi Medical University Hospital, Nagakute, Japan
| | - Shuichi Aono
- Multidisciplinary Pain Center, Aichi Medical University, Nagakute, Japan
- Department of Pain Data Management, Aichi Medical University, Nagakute, Japan
| | - Mitsuhiro Fujiwara
- Department of Rehabilitation, Kamiiida Rehabilitation Hospital, Nagoya, Japan
| | - Yukiko Shiro
- Multidisciplinary Pain Center, Aichi Medical University, Nagakute, Japan
- Department of Physical Therapy, Faculty of Rehabilitation Sciences, Nagoya Gakuin University, Nagoya, Japan
| | - Takahiro Ushida
- Multidisciplinary Pain Center, Aichi Medical University, Nagakute, Japan
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Williams LH, Drew T. What do we know about volumetric medical image interpretation?: a review of the basic science and medical image perception literatures. Cogn Res Princ Implic 2019; 4:21. [PMID: 31286283 PMCID: PMC6614227 DOI: 10.1186/s41235-019-0171-6] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2019] [Accepted: 05/19/2019] [Indexed: 11/26/2022] Open
Abstract
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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Waite S, Grigorian A, Alexander RG, Macknik SL, Carrasco M, Heeger DJ, Martinez-Conde S. Analysis of Perceptual Expertise in Radiology - Current Knowledge and a New Perspective. Front Hum Neurosci 2019; 13:213. [PMID: 31293407 PMCID: PMC6603246 DOI: 10.3389/fnhum.2019.00213] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Accepted: 06/07/2019] [Indexed: 12/14/2022] Open
Abstract
Radiologists rely principally on visual inspection to detect, describe, and classify findings in medical images. As most interpretive errors in radiology are perceptual in nature, understanding the path to radiologic expertise during image analysis is essential to educate future generations of radiologists. We review the perceptual tasks and challenges in radiologic diagnosis, discuss models of radiologic image perception, consider the application of perceptual learning methods in medical training, and suggest a new approach to understanding perceptional expertise. Specific principled enhancements to educational practices in radiology promise to deepen perceptual expertise among radiologists with the goal of improving training and reducing medical error.
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Affiliation(s)
- Stephen Waite
- Department of Radiology, SUNY Downstate Medical Center, Brooklyn, NY, United States
| | - Arkadij Grigorian
- Department of Radiology, SUNY Downstate Medical Center, Brooklyn, NY, United States
| | - Robert G. Alexander
- Department of Ophthalmology, SUNY Downstate Medical Center, Brooklyn, NY, United States
- Department of Neurology, SUNY Downstate Medical Center, Brooklyn, NY, United States
- Department of Physiology/Pharmacology, SUNY Downstate Medical Center, Brooklyn, NY, United States
| | - Stephen L. Macknik
- Department of Ophthalmology, SUNY Downstate Medical Center, Brooklyn, NY, United States
- Department of Neurology, SUNY Downstate Medical Center, Brooklyn, NY, United States
- Department of Physiology/Pharmacology, SUNY Downstate Medical Center, Brooklyn, NY, United States
| | - Marisa Carrasco
- Department of Psychology and Center for Neural Science, New York University, New York, NY, United States
| | - David J. Heeger
- Department of Psychology and Center for Neural Science, New York University, New York, NY, United States
| | - Susana Martinez-Conde
- Department of Ophthalmology, SUNY Downstate Medical Center, Brooklyn, NY, United States
- Department of Neurology, SUNY Downstate Medical Center, Brooklyn, NY, United States
- Department of Physiology/Pharmacology, SUNY Downstate Medical Center, Brooklyn, NY, United States
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