scholarly journals A Novel Method using Long Axis Cardiac MRI Measurements can Improve in vivo Myocardial Infarct Quantification

Author(s):  
Jacob Ref ◽  
Sherry Daugherty ◽  
Ikeotunye Royal Chinyere ◽  
Janan Zeng ◽  
Jordan J Lancaster ◽  
...  

Abstract PurposeCurrently, the American Heart Association (AHA) 17-segment model is the preferred clinical method to define and quantify left ventricle (LV) myocardial infarction (MI) size. This method is subjective and can be inaccurate given that segmental approximation assumes a specific percent of infarcted tissue when compared to reference standard post-mortem histopathology. To improve the accuracy and reproducibility of infarct volume quantification we propose a novel measurement technique based on cardiac MRI images from a porcine model of myocardial infarction. Data were collected from serial MRI exams of Yucatan mini swine over 6 months and endpoint organ harvesting for histopathologic analysis. MethodsTwo observers evaluated four infarct sizing methods: myocardial contouring of post-mortem heart slices, contouring using cardiac MRI, AHA 17-segment model analysis and novel long-axis MRI infarct sizing. ResultsLV infarct sizes ranges were 1.6% - 25.8% (n=10) using reference standard histopathologic infarct sizing. Intraclass correlations (ICC) were calculated between two observers and averaged due to high similarity, ICC > .900. A t-test of .0006 and Bland-Altman plots show statistically significant differences in 17-segment model infarct size compared to histopathologic analysis while no significant difference was found when compared to our new novel method with 0.8198. Linear correlation showed an R 2 of 0.9111 between MRI contoured infarct size and our novel MRI infarct sizing model to predict infarct size as a percentage while the R 2 of the 17-Seg model is 0.8197. ConclusionsThe 17-sgement model provides an inferior quantitative assessment of LV infarct size compared to the proposed long-axis infarct sizing suggesting it maybe a robust and easily implementable quantitative assessment of LV infarct size in advanced imaging.

2011 ◽  
Vol 13 (S1) ◽  
Author(s):  
Nabil A Shafi ◽  
Kathleen Bertman ◽  
Andrew Yoon ◽  
Rena Toole ◽  
Matthew Ronin ◽  
...  

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Nicole L Bonfig ◽  
Chase R Soukup ◽  
Ross F Garberich ◽  
Sarah J Davidson ◽  
Rose M Peterson ◽  
...  

Introduction: The development of microvascular obstruction (MVO) in the setting of ST-Elevation Myocardial Infarction (STEMI) is a powerful predictor of reduced left-ventricular (LV) function, adverse LV remodeling and increased mortality. Although MVO is associated with increasing infarct size and ischemic duration, additional causes of MVO have not been clearly identified. Although MVO may arise from intravascular obstruction from embolization of thrombus, it may also arise from compression of the microvasculature due to increased myocardial edema and extravascular compressive forces. Hypothesis: Because left-ventricular hypertrophy (LVH) is associated with increased extravascular compressive forces, we hypothesized that patients with greater LV mass may be more susceptible to the development of MVO during STEMI. Methods: We measured MVO in 385 patients (59.4 + 12.3 years; 77% male) admitted to our Institution with STEMI who underwent cardiac MRI for measurement of LV function and infarct size following successful primary PCI. A total of 219 patients (57%) had MVO on cardiac MRI measured 1-3 days following PCI of which 172 patients had paired measurements of LV mass. Results: Patients with MVO (13.7 + 13.9 grams) had significantly greater infarct size (54 vs. 31 g; p < 0.001) and LV mass (151 vs 140 g; p<0.01) but reduced LVEF (43.1 vs. 47.8%) despite having similar ischemic times. Among patients with MVO, there was a linear increase in MVO with increasing LV mass (Figure). Conclusions: MVO increases with increasing LV mass and may contribute to the known adverse effects of LVH in STEMI.


Author(s):  
Sebastian Buss ◽  
Birgit Krautz ◽  
Nina P Hofmann ◽  
Kristin Breuninger ◽  
Yannick Sander ◽  
...  

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