01 Oct 20. Featured Paper
18F-fluoride PET/MR in cardiac amyloid: a comparison study with aortic stenosis & age- & sex-matched controls.
Jack P. M. Andrews, Maria Giovanni Trivieri, Russell Everett, Nicholas Spath, Gillian MacNaught, Alastair J. Moss, Mhairi K. Doris, Tania Pawade, Edwin J. R. van Beek, Christophe Lucatelli, David E. Newby, Philip Robson, Zahi A. Fayad, & Marc R. Dweck
Objectives: Cardiac MR is widely used to diagnose cardiac amyloid, but cannot differentiate AL & ATTR subtypes: an important distinction given their differing treatments & prognoses.
Methods: In this prospective multicenter study, patients were recruited in Edinburgh & New York & underwent 18F-fluoride PET/MR imaging.
Standardized volumes of interest were drawn in the septum & areas of late gadolinium enhancement to derive myocardial standardized uptake values (SUV) & tissue-to-background ratio (TBRMEAN) after correction for blood pool activity in the right atrium.
Results: 53 patients were scanned: 18 with cardiac amyloid (10 ATTR & 8 AL), 13 controls, & 22 with aortic stenosis.
No differences in myocardial TBR values were observed between participants scanned in Edinburgh & New York.
Mean myocardial TBRMEAN values in ATTR amyloid (1.13 ± 0.16) were higher than controls (0.84 ± 0.11, P = .0006), aortic stenosis (0.73 ± 0.12, P < .0001), & those with AL amyloid (0.96 ± 0.08, P = .01).
TBRMEAN values within areas of late gadolinium enhancement provided discrimination between patients with ATTR (1.36 ± 0.23) & all other groups (e.g., AL [1.06 ± 0.07, P = .003]).
A TBRMEAN threshold >1.14 in areas of LGE demonstrated 100% sensitivity (CI 72.25 to 100%) & 100% specificity (CI 67.56 to 100%) for ATTR compared to AL amyloid (AUC 1, P = .0004).
Conclusion: Quantitative 18F-fluoride PET/MR imaging can distinguish ATTR amyloid from other similar phenotypes & holds promise in improving the diagnosis of this condition.
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Featured paper: 18F-fluoride PET/MR in cardiac amyloid: a comparison study with aortic stenosis & age- & sex-matched controls. @Jackandrews86 @MarcDweck @EdinUniCVS @JNCjournal #PETMR #AorticStenosis