Skip to main content
Journal cover image

Diagnostic impact of SPECT image display on assessment of obstructive coronary artery disease.

Publication ,  Journal Article
Weinsaft, JW; Gade, CL; Wong, FJ; Kim, HW; Min, JK; Manoushagian, SJ; Okin, PM; Szulc, M
Published in: J Nucl Cardiol
2007

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.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

J Nucl Cardiol

DOI

EISSN

1532-6551

Publication Date

2007

Volume

14

Issue

5

Start / End Page

659 / 668

Location

United States

Related Subject Headings

  • Ventricular Dysfunction, Left
  • Tomography, Emission-Computed, Single-Photon
  • Single-Blind Method
  • Sensitivity and Specificity
  • Reproducibility of Results
  • Male
  • Image Interpretation, Computer-Assisted
  • Humans
  • Female
  • Data Display
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Weinsaft, J. W., Gade, C. L., Wong, F. J., Kim, H. W., Min, J. K., Manoushagian, S. J., … Szulc, M. (2007). Diagnostic impact of SPECT image display on assessment of obstructive coronary artery disease. J Nucl Cardiol, 14(5), 659–668. https://doi.org/10.1016/j.nuclcard.2007.06.115
Weinsaft, Jonathan W., Christopher L. Gade, Franklin J. Wong, Han W. Kim, James K. Min, Shant J. Manoushagian, Peter M. Okin, and Massimiliano Szulc. “Diagnostic impact of SPECT image display on assessment of obstructive coronary artery disease.J Nucl Cardiol 14, no. 5 (2007): 659–68. https://doi.org/10.1016/j.nuclcard.2007.06.115.
Weinsaft JW, Gade CL, Wong FJ, Kim HW, Min JK, Manoushagian SJ, et al. Diagnostic impact of SPECT image display on assessment of obstructive coronary artery disease. J Nucl Cardiol. 2007;14(5):659–68.
Weinsaft, Jonathan W., et al. “Diagnostic impact of SPECT image display on assessment of obstructive coronary artery disease.J Nucl Cardiol, vol. 14, no. 5, 2007, pp. 659–68. Pubmed, doi:10.1016/j.nuclcard.2007.06.115.
Weinsaft JW, Gade CL, Wong FJ, Kim HW, Min JK, Manoushagian SJ, Okin PM, Szulc M. Diagnostic impact of SPECT image display on assessment of obstructive coronary artery disease. J Nucl Cardiol. 2007;14(5):659–668.
Journal cover image

Published In

J Nucl Cardiol

DOI

EISSN

1532-6551

Publication Date

2007

Volume

14

Issue

5

Start / End Page

659 / 668

Location

United States

Related Subject Headings

  • Ventricular Dysfunction, Left
  • Tomography, Emission-Computed, Single-Photon
  • Single-Blind Method
  • Sensitivity and Specificity
  • Reproducibility of Results
  • Male
  • Image Interpretation, Computer-Assisted
  • Humans
  • Female
  • Data Display