Paper
21 April 1998 Effect on image processing on diagnostic decisions in chest radiography
Author Affiliations +
Abstract
The goal of this study was to determine what the influence of image processing functions was on decisions and decision changes made while reading chest radiographs displayed on a monitor. Six radiologists read 168 computed radiography chest images first without them with the use of six image processing functions. Diagnostic performance was measured using receiver operating characteristic analysis, and decision changes made without and with processing use were analyzed. Diagnostic performance did not differ statistically for readings without and with image processing. The decision change analysis showed that readers were just as likely to change decisions from true-positive to false-negative as they were from false-negative to true- positive. With image processing, there were significantly more changes from true-negative to false-positive than from false-positive to true-negative. 93 percent of all decisions did not change with the use of image processing. No significant correlations were found between the type of lesions present on the radiography and the type of image processing function sued. Positive decision changes made with the use of image processing are offset by equivalent numbers of negative decision changes. The use of image processing does not affect significantly diagnostic performance in chest radiography.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Elizabeth A. Krupinski and Michael G. Evanoff "Effect on image processing on diagnostic decisions in chest radiography", Proc. SPIE 3340, Medical Imaging 1998: Image Perception, (21 April 1998); https://doi.org/10.1117/12.306186
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image processing

Diagnostics

Chest

Radiography

Statistical analysis

Lung

Radiology

Back to Top