Assisting the radiologist to greater accuracy

David J. Getty

doi:10.1117/12.237773

11 April 1996 Assisting the radiologist to greater accuracy

David J. Getty

Proceedings Volume 2708, Medical Imaging 1996: Physics of Medical Imaging; (1996) https://doi.org/10.1117/12.237773
Event: Medical Imaging 1996, 1996, Newport Beach, CA, United States

Abstract

We have developed a method for improving the accuracy of image-based diagnosis by providing the radiologist with image-reading and decision-making aids. The image-reading aid is a checklist of visual features to guide the radiologist through a systematic assessment of the features of a detected abnormality. The decision aid is a computer-based statistical decision rule that accepts the feature assessments made by the radiologist, and returns an advisory estimate of the probability that disease is present. I discuss the steps involved in developing and testing these aids, and present illustrative examples of their successful application in mammography. I describe other possible benefits of a feature-based diagnostic system in improving report standardization, training of radiologists, quality assurance, and automated report-writing. Finally, I discuss potentially greater improvements in diagnostic accuracy that may be realized through the future development of hybrid systems in which a radiologist and computer interact, and systems combining features from multiple tests or sources.

Citation Download Citation

David J. Getty "Assisting the radiologist to greater accuracy", Proc. SPIE 2708, Medical Imaging 1996: Physics of Medical Imaging, (11 April 1996); https://doi.org/10.1117/12.237773

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available