Author + information
- Vidhya Kumar,
- Kevin Mcelhanon,
- Zhaobin Xu,
- Eric Beck,
- Xin He,
- Orlando Simonetti,
- Noah Weisleder and
- Subha Raman
Background: Myocardial fibrosis, present in varying extent across a range of heart disease, constitutes substrate for adverse events such as heart failure and arrhythmias. We have developed a non-contrast, dual energy computed tomography (DECT) acquisition method and multi-energy analytic approach to quantify diffuse myocardial fibrosis.
Methods: Phantoms were manufactured using homogenized bovine myocardium with varying amounts of type 1 collagen. C57Bl/6 mice underwent transverse aortic constriction to induce diffuse myocardial fibrosis. Non-contrast DECT was performed on phantoms and ex vivo mouse hearts. Monochromatic energy images were reconstructed and mean CT number was measured within a region of interest. Linear discriminant analysis, for fibrosis classification, and regression modeling, for fibrosis estimation, were performed and tested on separate sets of data.
Results: Multi-energy analysis demonstrates better classification of fibrosis. Multi vs. single energy misclassification rates are 12% vs. 65% (phantoms) and 7% vs. 63%(animals). Multi-energy analysis also affords more accurate estimates of fibrosis (Figure).
Conclusions: This novel multi-energy analytic approach can be used to accurately estimate diffuse myocardial fibrosis in vitro.
Poster Hall, Hall C
Friday, March 17, 2017, 3:45 p.m.-4:30 p.m.
Session Title: Non Invasive Imaging: Expanding Clinical Applications
Abstract Category: 27. Non Invasive Imaging: CT/Multimodality, Angiography, and Non-CT Angiography
Presentation Number: 1161-229
- 2017 American College of Cardiology Foundation