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Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
Published on: August 9, 2024
Diagnostic impact of SPECT image display on assessment of obstructive coronary artery disease
Jonathan W Weinsaft1, Christopher L Gade, Franklin J Wong
1Division of Cardiology, Department of Medicine, Weill Medical College of Cornell University, New York, NY 10021, USA. jww2001@med.cornell.edu
Insights
Image display affects single photon emission computed tomography (SPECT) interpretation for coronary artery disease (CAD). Adjusting criteria for gray images improves diagnostic performance, matching color displays for CAD assessment.
Area of Science:
- Cardiology
- Medical Imaging
- Diagnostic Nuclear Medicine
Background:
- Diagnostic assessment of myocardial perfusion is crucial for managing suspected coronary artery disease (CAD).
- Various image displays exist for single photon emission computed tomography (SPECT) interpretation.
- The impact of different SPECT image displays on interpretation accuracy is not well-established.
Purpose of the Study:
- To investigate the effect of different image display types (color vs. gray) on SPECT interpretation for CAD.
- To determine if diagnostic performance can be optimized by adjusting interpretation criteria based on display type.
Main Methods:
- 183 patients undergoing SPECT were studied, including those referred for angiography and low-risk individuals.
- Studies were visually interpreted using both color and gray images, with readers blinded to the other display.
- A summed stress score (SSS) of 4 or greater was initially used as the criterion for abnormal findings.
Main Results:
- The prevalence of abnormal SPECT findings was higher with gray images (54%) compared to color images (48%) using a uniform criterion (SSS ≥ 4).
- Color images showed equivalent sensitivity (79% vs. 82%) but improved specificity for global and vessel-specific CAD.
- Adjusting the criterion for gray images to SSS ≥ 5 resulted in equivalent sensitivity and specificity compared to color images.
Conclusions:
- SPECT interpretation accuracy for CAD varies depending on the image display used.
- Differences in perfusion defect severity between color and gray displays influence interpretation.
- Adjusting abnormality criteria for gray images to account for minor increases in defect severity achieves equivalent diagnostic performance to color displays.
Background:
Diagnostic assessment of myocardial perfusion impacts the management of patients with suspected coronary artery disease (CAD). Although various image displays are available for single photon emission computed tomography (SPECT) interpretation, the effects of display differences on SPECT interpretation remain undetermined.
Methods And Results:
We studied 183 patients undergoing SPECT, including 131 consecutive patients referred for angiography and 52 at low CAD risk. Studies were visually interpreted by use of color and gray images, with readers blinded to the results of the other display. In accordance with established criteria, a summed stress score (SSS) of 4 or greater was considered abnormal. The prevalence of abnormal SPECT findings was higher with gray images than with color images (54% vs 48%, P < .001) based on a uniform criterion (SSS > or =4). However, color images yielded equivalent sensitivity (79% vs 82%, P = .7) and improved specificity for global (50% vs 33%, P = .02) and vessel-specific CAD involving the right coronary artery (P < .01) and left anterior descending artery (P < .05). When the criterion for gray images was adjusted upward (SSS > or =5) to reflect increased mean defect severity (SSS of 5.1 vs 4.4, P = .01), gray and color images provided equivalent sensitivity and specificity for global and vessel-specific CAD.
Conclusions:
SPECT interpretation can vary according to image display as a result of differences in perfusion defect severity. Adjustment of abnormality criteria for gray images to reflect minor increases in defect severity provides equivalent diagnostic performance of gray and color displays for CAD assessment.
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