Construction and validation of a diagnostic model for obstructive coronary artery disease in patients with…

Cohort studyQuantitative imaging in medicine and surgery· Aug 2026

Construction and validation of a diagnostic model for obstructive coronary artery disease in patients with suspected unstable angina pectoris based on resting 18 F-fluorodeoxyglucose positron emission tomography myocardial ischemia memory imaging.

Si Yan, Feifei Zhang, Zhichao Fang … Xiaoyu Yang

Oncologic ImagingCohort studyDiagnosisQ2IF 2.5

Positron emission tomography-based model accurately diagnoses obstructive coronary artery disease in suspected unstable angina

Construction and validation of a diagnostic model for obstructive coronary artery disease in patients with suspected unstable angina pectoris based on resting 18 F-fluorodeoxyglucose positron emission tomography myocardial ischemia memory imaging.

Si Yan … Xiaoyu Yang

Quantitative imaging in medicine and surgery · Aug 2026 · Q2 in Radiology

Background

Identifying obstructive coronary artery disease (obstructive coronary artery disease) via non-invasive imaging modalities in patients with suspected unstable angina (unstable angina) holds substantial clinical significance.

Purpose

This study aimed to develop and validate a diagnostic model for obstructive coronary artery disease in patients with suspected unstable angina, by leveraging resting 18 F-fluorodeoxyglucose ( 18 F-FDG) positron emission tomography (positron emission tomography) myocardial ischemia memory imaging combined with clinical indicators.

Methods

We retrospectively analyzed 162 patients with a Global Registry of Acute Coronary Events (Global Registry of Acute Coronary Events) score ≤140 who presented with chest pain or chest tightness and were clinically suspected of having unstable angina.

n = 162 patients

Results

model correctly distinguishes patients with and without disease most of the time

AUC 0.89 (95% CI 0.84 to 0.94)

CI excludes the null - significant

More results

Of the 162 enrolled patients with suspected unstable angina, 89 (54.9%) were diagnosed with obstructive coronary artery disease.

More results

Six predictors were incorporated into the diagnostic model, including hyperlipidemia, diabetes, typical angina pectoris, 18 F-FDG positron emission tomography results, serum creatinine, and left ventricular ejection fraction (left ventricular ejection fraction).

The Hosmer-Lemeshow goodness-of-fit test revealed good model fit (χ 2 =6.15, P=0.63).

“

Conclusion

The obstructive coronary artery disease diagnostic model for suspected unstable angina patients, based on resting 18 F-FDG positron emission tomography and clinical indicators, demonstrated excellent diagnostic performance.

Construction and validation of a diagnostic model for obstructive coronary artery disease in patients with suspected unstable angina pectoris based on resting 18 F-fluorodeoxyglucose positron emission tomography myocardial ischemia memory imaging.

Construction and validation of a diagnostic model for obstructive coronary artery disease in patients with suspected unstable angina pectoris based on resting 18 F-fluorodeoxyglucose positron emission tomography myocardial ischemia memory imaging.

Related papers