Diagnostic accuracy of stress CMR to evaluate chronic coronary syndromes: an updated meta-analysis

Abstract

Abstract Background Stress cardiovascular magnetic resonance (CMR) imaging is utilised for the evaluation of patients with stable chest pain and intermediate or high pre-test likelihood of coronary artery disease (CAD). Purpose To provide an updated synthesis of diagnostic accuracy of stress CMR imaging for the diagnosis of anatomically and functionally significant CAD in patients with stable chest pain and suspected or known CAD. Methods After prospective registration and approval of the study protocol, we performed a systematic review and meta-analysis of studies published between 2000 through 2021, enrolling ≥100 patients, and reporting on the diagnostic accuracy of stress CMR imaging to diagnose anatomically and functionally significant CAD with invasive coronary angiography (ICA) or ICA and fractional flow reserve (FFR <0.80) as the reference standard. The novel split component synthesis method was used through the SCSmeta function in R. The meta-analysis yielded pooled diagnostic indicators including diagnostic odds ratio (DOR), sensitivity, specificity, positive likelihood ratio (pLR), negative likelihood ratio (nLR) and area under the curve (AUC). Results We identified a total of 32 studies pooling an overall population of 7,678 individuals (mean age 62 years, 70% males, CAD prevalence 52%). Compared with ICA (29 studies, 7,360 patients), stress CMR yielded a pooled DOR of 19.2 (95% CI: 12.5–29.4), a sensitivity of 84% (95% CI: 79–88%), a specificity of 79% (95% CI: 73–84%), a pLR of 3.9 (95% CI: 3.0–5.3), a nLR of 0.2 (95% CI: 0.2–0.3), and an AUC of 0.81 (95% CI: 0.78–0.84) for the detection of anatomically obstructive CAD. Compared with ICA and FFR (8 studies, 1,196 patients), stress CMR yielded a pooled DOR of 26.4 (95% CI: 10.6–65.9), a sensitivity of 81% (95% CI: 68–89), a specificity of 86% (95% CI: 75–93%), a pLR of 5.8 (95% CI: 3.0–11.4), a nLR of 0.2 (95% CI: 0.1–0.4), and an AUC of 0.84 (0.77–0.89) for the detection of functionally obstructive CAD. Higher diagnostic accuracy was observed for 3 Tesla myocardial perfusion imaging studies to detect both anatomically and functionally obstructive CAD, with pooled DORs of 24.3 and 33.2, respectively. Conclusions In patients with stable chest pain and known or suspected CAD, stress CMR imaging yields high diagnostic accuracy to detect both anatomically and functionally obstructive CAD. Stress CMR perfusion imaging at 3 Tesla is to be associated with overall greater diagnostic accuracy. Funding Acknowledgement Type of funding sources: None.