Patient-level diagnostic performance of myocardial contrast echocardiography using ultrasound-enhancing agents after acute myocardial infarction: comparison with radionuclide perfusion-metabolism imaging

Objective This study evaluated the patient-level diagnostic performance and agreement of myocardial contrast echocardiography (MCE) for assessing myocardial viability after acute myocardial infarction (AMI), using combined radionuclide perfusion-metabolism imaging as the reference standard. Methods This retrospective diagnostic-comparison study included 141 patients with AMI who underwent MCE and reference radionuclide perfusion-metabolism imaging between February 2017 and February 2023. Imaging was generally performed during the subacute phase, 7–14 days after symptom onset. Reference assessment combined 99 mTc-MIBI myocardial perfusion imaging with 18 F-FDG metabolic imaging. The standardized 17-segment left ventricular model was used as an anatomical framework for image interpretation; however, because individual segment-level classifications were not systematically archived, diagnostic performance was evaluated at the patient level. MCE examinations were interpreted independently by experienced cardiologists blinded to the reference imaging results, with disagreements resolved by consensus. Sensitivity, specificity, accuracy, positive predictive value (PPV), negative predictive value (NPV), and Cohen's kappa were calculated with 95% confidence intervals (CIs). Results Reference imaging classified 91 patients as having viable myocardium and 50 as having non-viable myocardium. MCE yielded 79 true-positive, 44 true-negative, 6 false-positive, and 12 false-negative classifications. Patient-level sensitivity was 86.81% (95% CI, 78.35%–92.29%), specificity was 88.00% (95% CI, 76.20%–94.38%), and overall accuracy was 87.23% (95% CI, 80.72%–91.77%). PPV was 92.94% (95% CI, 85.44%–96.72%), and NPV was 78.57% (95% CI, 66.18%–87.29%). Agreement between MCE and reference imaging was substantial (Cohen's κ = 0.728; 95% CI, 0.612–0.845; P < 0.001). Conclusion MCE demonstrated substantial patient-level agreement with radionuclide perfusion-metabolism imaging for post-AMI myocardial viability assessment. These findings support its potential role as a complementary diagnostic imaging modality under the evaluated conditions. However, the present study did not assess subsequent functional recovery, ventricular remodeling, revascularization benefit, treatment decisions, or clinical outcomes; therefore, no conclusions regarding patient-management benefit or prognostic utility can be drawn from these data.

Authors

Institutions

Publication Details

Journal
Frontiers in Cardiovascular Medicine
Published
2026-11-11
DOI
https://doi.org/10.3389/fcvm.2026.1973019
Primary Topic
Cardiac Imaging and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Patient-level diagnostic performance of myocardial contrast echocardiography using ultrasound-enhancing agents after acute myocardial infarction: comparison with radionuclide perfusion-metabolism imaging

Gan Shu-fen, Fu Su, Hong Zhang, Jiang-Hua Chen
Frontiers in Cardiovascular Medicine
Cardiac Imaging and Diagnostics
article

Patient-level diagnostic performance of myocardial contrast echocardiography using ultrasound-enhancing agents after acute myocardial infarction: comparison with radionuclide perfusion-metabolism imaging

Gan Shu-fen, Fu Su, Hong Zhang, Jiang-Hua Chen
article en

Abstract

Objective This study evaluated the patient-level diagnostic performance and agreement of myocardial contrast echocardiography (MCE) for assessing myocardial viability after acute myocardial infarction (AMI), using combined radionuclide perfusion-metabolism imaging as the reference standard. Methods This retrospective diagnostic-comparison study included 141 patients with AMI who underwent MCE and reference radionuclide perfusion-metabolism imaging between February 2017 and February 2023. Imaging was generally performed during the subacute phase, 7–14 days after symptom onset. Reference assessment combined 99 mTc-MIBI myocardial perfusion imaging with 18 F-FDG metabolic imaging. The standardized 17-segment left ventricular model was used as an anatomical framework for image interpretation; however, because individual segment-level classifications were not systematically archived, diagnostic performance was evaluated at the patient level. MCE examinations were interpreted independently by experienced cardiologists blinded to the reference imaging results, with disagreements resolved by consensus. Sensitivity, specificity, accuracy, positive predictive value (PPV), negative predictive value (NPV), and Cohen's kappa were calculated with 95% confidence intervals (CIs). Results Reference imaging classified 91 patients as having viable myocardium and 50 as having non-viable myocardium. MCE yielded 79 true-positive, 44 true-negative, 6 false-positive, and 12 false-negative classifications. Patient-level sensitivity was 86.81% (95% CI, 78.35%–92.29%), specificity was 88.00% (95% CI, 76.20%–94.38%), and overall accuracy was 87.23% (95% CI, 80.72%–91.77%). PPV was 92.94% (95% CI, 85.44%–96.72%), and NPV was 78.57% (95% CI, 66.18%–87.29%). Agreement between MCE and reference imaging was substantial (Cohen's κ = 0.728; 95% CI, 0.612–0.845; P < 0.001). Conclusion MCE demonstrated substantial patient-level agreement with radionuclide perfusion-metabolism imaging for post-AMI myocardial viability assessment. These findings support its potential role as a complementary diagnostic imaging modality under the evaluated conditions. However, the present study did not assess subsequent functional recovery, ventricular remodeling, revascularization benefit, treatment decisions, or clinical outcomes; therefore, no conclusions regarding patient-management benefit or prognostic utility can be drawn from these data.

Frontiers in Cardiovascular MedicineVol. 13
Xiamen University (CN), Zhongshan Hospital of Xiamen University (CN)
Cardiac Imaging and Diagnostics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon