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Diagnostic Performance of Quantitative Perfusion Cardiac Magnetic Resonance Imaging in Patients with Prior Coronary Artery Disease

Hoek, R; Borodzicz-Jazdzyk, S; van Diemen, PA; Somsen, YBO; de Winter, RW; Jukema, RA; Twisk, JWR; Raijmakers, PG; Knuuti; J; Maaniitty; T; Underwood, SR; Nagel, E; Robbers, LFHJ; Demirkiran, A; von Bartheld, MB; Driessen, RS; Danad, I; Götte, MJW; Knaapen, P

Diagnostic Performance of Quantitative Perfusion Cardiac Magnetic Resonance Imaging in Patients with Prior Coronary Artery Disease

Hoek, R
Borodzicz-Jazdzyk, S
van Diemen, PA
Somsen, YBO
de Winter, RW
Jukema, RA
Twisk, JWR
Raijmakers, PG
Knuuti
J
Maaniitty
T
Underwood, SR
Nagel, E
Robbers, LFHJ
Demirkiran, A
von Bartheld, MB
Driessen, RS
Danad, I
Götte, MJW
Knaapen, P
Katso/Avaa
jeae262.pdf (976.3Kb)
Lataukset: 

Oxford University Press
doi:10.1093/ehjci/jeae262
URI
https://doi.org/10.1093/ehjci/jeae262
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Julkaisun pysyvä osoite on:
https://urn.fi/URN:NBN:fi-fe2025082790326
Tiivistelmä

Aims: The diagnostic performance of quantitative perfusion cardiac magnetic resonance (QP-CMR) imaging has scarcely been evaluated in patients with a history of coronary artery disease (CAD) and new onset chest pain. The present study compared the diagnostic performance of automated QP-CMR for detection of fractional flow reserve (FFR) defined hemodynamically significant CAD with visual assessment of first-pass stress perfusion CMR (v-CMR) and quantitative [15O]H2O positron emission tomography (PET) imaging in a true head-to-head fashion in patients with prior CAD.

Methods and results: This PACIFIC-2 substudy included 145 symptomatic chronic coronary symptom patients with prior myocardial infarction (MI) and/or percutaneous coronary intervention (PCI). All patients underwent dual-sequence, single bolus perfusion CMR and [15O]H2O PET perfusion imaging followed by invasive coronary angiography with three-vessel FFR. Hemodynamically significant CAD was defined as an FFR ≤0.80. QP-CMR, v-CMR and PET exhibited a sensitivity of 66%, 67%, and 80%, respectively, whereas specificity was 60%, 62%, and 63%. Sensitivity of QP-CMR was lower than PET (P=0.015), whereas specificity of QP-CMR and PET was comparable. Diagnostic accuracy and area under the curve (AUC) of QP-CMR (64% and 0.66) was comparable to both v-CMR (66% [P=NS] and 0.67 (P=NS]) and PET (74% [P=NS] and 0.78 [P=NS]).

Conclusions: In patients with prior MI and/or PCI, the diagnostic performance of QP-CMR was comparable to visual assessment of first-pass stress perfusion CMR and quantitative [15O]H2O PET for the detection of hemodynamically significant CAD as defined by FFR.

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