scholarly journals TCT-61 Infarct Size-Determined Uptake of CD34+ Cells in the Peri-Infarct Zone and Left Ventricular Remodeling: Insights from Integration of Labeled Cells Uptake SPECT Visualization with Sequential Cardiac MRI

2012 ◽  
Vol 60 (17) ◽  
pp. B19
Author(s):  
Piotr Musialek ◽  
Lukasz Tekieli ◽  
Magdalena Kostkiewicz ◽  
Tomasz Miszalski-Jamka ◽  
Wojciech Szot ◽  
...  
Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
James E Udelson ◽  
Camille A Pearte ◽  
Carey D Kimmelstiel ◽  
Mariusz Kruk ◽  
Anna Teresinska ◽  
...  

Introduction: OAT recently reported no difference in long-term outcomes between percutaneous intervention (PCI) vs. medical therapy alone (MED) in stable post-MI patients with occluded infarct-related arteries (IRAs). Whether PCI may benefit a subset of patients with relative preservation of infarct zone (IZ) viability is unknown. Hypotheses: IZ viability influences left ventricular (LV) remodeling and PCI patients with viability have less adverse remodeling than comparable MED post-MI patients with an occluded IRA. Methods: Patients were eligible for OAT-NUC based on the main OAT criteria. Enrolled patients underwent a resting nitroglycerin-enhanced 99m-Tc sestamibi SPECT study at baseline prior to OAT randomization and repeated 1 year after randomization. SPECT studies were quantitatively analyzed in a central core lab, blinded to OAT randomization and to sequence. Parameters included LV volumes (for remodeling over time), LV regional and global function, infarct size, and IZ viability. Results: There were 124 patients enrolled in OAT-NUC at 20 international sites. For patients with complete baseline and 1 year information as of May 2007 (n=78), infarct size was 24 ± 16% of the LV (mean ± SD), EF 48 ± 11%, end-diastolic volume 127 ± 52 ml, end-systolic volume 71 ± 46 ml, and sestamibi uptake within the IZ was 43 ± 8% of peak counts. Those with severe reduction in IZ viability (IZ uptake <40% of peak counts, n=25) compared to those with at least moderate preservation of viability (IZ counts <40% of peak counts, n=53) had larger infarct size (p<0.001), larger end-diastolic (p<0.001) and end-systolic (p<0.003) volumes at baseline. Complete data acquisition and analysis of the primary and secondary end point results examining the influence of IZ viability on extent of LV remodeling, and the interaction of IZ viability with extent of remodeling for PCI vs. MED in post-MI patients with occluded IRAs will be available for the entire patient cohort by August 2007. Conclusions: The OAT-NUC ancillary study examines the influence of IZ viability on LV remodeling in post-MI patients with occluded IRAs randomized to PCI vs. medical treatment alone and will provide mechanistic insights into the clinical findings of the main OAT study.


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
V.F Froysa ◽  
G.J.B Jansson ◽  
T.E Eftestol ◽  
L.W Woie ◽  
S.O Orn

Abstract Background Conventional methods for the estimation of infarct size by late-enhanced cardiac magnetic resonance imaging use analyzes from each slice which in turn is added to generate a volume. We present a novel method based on machine learning, called texture based probability mapping (TPM). TPM is based upon expressing the probability of scarring in a pixel based upon analysing textural information in patches around each pixel. Purpose To explore our method and assess its utility as a tool to scar size and compare it with four established methods. Methods In 54 patients with ischemic scars, our method was compared with four 2D methods. 2 patients were excluded due to low image quality and artefacts. The most basal and apical short axis image slices were exclude due to partial volume artefacts. Myocardial infarction (MI) size was estimated manually, and TPM performed. Cardiac segments were defined as myocardial regions with pixel probabilities within a specified range. By varying the lower probability threshold while keeping the upper threshold fixed at 1, different cardiac segments were defined. Using the Sørensen-Dice coefficient the optimal probability range with the highest correlation to manual estimation of infarct size was identified. Results TPM-range 0.341–1.0 is best correlated to manual demarcation (median Dice 0.70). The method demonstrated stronger correlations between scar size and left ventricular remodeling parameters (LV ejection fraction: r=−0.731, p&lt;0.0005; LV end-diastolic volume: r=0.641, p&lt;0.0005; LV end-systolic volume: r=0.672, p&lt;0.0005) compared with manual method. Conclusion Using TPM, infarct size can be measured automatically without using signal intensity as a reference value. It is without the need for manual demarcation of the scar and is less time consuming and less vulnerable to interobserver variability. It has a strong correlation with left ventricular remodeling parameters crucial in guiding further medical therapy. The use of this method is however not primarily dedicated for scar size estimation, but a tool to evaluate different properties of the tissue that cannot be visualized by the naked eye. It's an important step towards better understanding of myocardial damage pattern causing ventricular arrhythmia and SCD. Funding Acknowledgement Type of funding source: Public grant(s) – National budget only. Main funding source(s): Helse Vest


2010 ◽  
Vol 55 (25) ◽  
pp. 2869-2876 ◽  
Author(s):  
Katrina Go Yamazaki ◽  
Pam R. Taub ◽  
Maraliz Barraza-Hidalgo ◽  
Maria M. Rivas ◽  
Alexander C. Zambon ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document