ArticleMedical physics2010
Exploring the potential of context-sensitive CADe in screening mammography.
Article in Medical physics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Extracting decision-making features from the unstructured eye movements of clinicians on glaucoma OCT reports and developing AI models to classify expertise.Frontiers in medicine · 2023Article
- An interactive eye-tracking system for measuring radiologists' visual fixations in volumetric CT images: Implementation and initial eye-tracking accuracy validation.Medical physics · 2021Article
- Assessment of the Effect of Cleanliness on the Visual Inspection of Aircraft Engine Blades: An Eye Tracking Study.Sensors (Basel, Switzerland) · 2021Article
- A review of eye tracking for understanding and improving diagnostic interpretation.Cognitive research: principles and implications · 2019Article
- Emerging applications of eye-tracking technology in dermatology.Journal of dermatological science · 2018Review
- New approaches to the analysis of eye movement behaviour across expertise while viewing brain MRIs.Cognitive research: principles and implications · 2018Article
- The effect of computer-aided detection markers on visual search and reader performance during concurrent reading of CT colonography.European radiology · 2015Article
- Mutual information-based template matching scheme for detection of breast masses: from mammography to digital breast tomosynthesis.Journal of biomedical informatics · 2011Article
- Probabilistic method for context-sensitive detection of polyps in CT colonography.Proceedings of SPIE--the International Society for Optical Engineering · 2011Article
- Investigating the link between radiologists' gaze, diagnostic decision, and image content.Journal of the American Medical Informatics Association : JAMIAArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
purposeConventional computer-assisted detection (CADe) systems in screening mammography provide the same decision support to all users. The aim of this study was to investigate the potential of a context-sensitive CADe system which provides decision support guided by each user's focus of attention during visual search and reporting patterns for a specific case.
methodsAn observer study for the detection of malignant masses in screening mammograms was conducted in which six radiologists evaluated 20 mammograms while wearing an eye-tracking device. Eye-position data and diagnostic decisions were collected for each radiologist and case they reviewed. These cases were subsequently analyzed with an in-house knowledge-based CADe system using two different modes: Conventional mode with a globally fixed decision threshold and context-sensitive mode with a location-variable decision threshold based on the radiologists' eye dwelling data and reporting information.
resultsThe CADe system operating in conventional mode had 85.7% per-image malignant mass sensitivity at 3.15 false positives per image (FPsI). The same system operating in context-sensitive mode provided personalized decision support at 85.7%-100% sensitivity and 0.35-0.40 FPsI to all six radiologists. Furthermore, context-sensitive CADe system could improve the radiologists' sensitivity and reduce their performance gap more effectively than conventional CADe.
conclusionsContext-sensitive CADe support shows promise in delineating and reducing the radiologists' perceptual and cognitive errors in the diagnostic interpretation of screening mammograms more effectively than conventional CADe.
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