scholarly journals Computed tomography for myocardial characterization in ischemic heart disease: a state-of-the-art review

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
M. van Assen ◽  
M. Vonder ◽  
G. J. Pelgrim ◽  
P. L. Von Knebel Doeberitz ◽  
R. Vliegenthart

Abstract This review provides an overview of the currently available computed tomography (CT) techniques for myocardial tissue characterization in ischemic heart disease, including CT perfusion and late iodine enhancement. CT myocardial perfusion imaging can be performed with static and dynamic protocols for the detection of ischemia and infarction using either single- or dual-energy CT modes. Late iodine enhancement may be used for the analysis of myocardial infarction. The accuracy of these CT techniques is highly dependent on the imaging protocol, including acquisition timing and contrast administration. Additionally, the options for qualitative and quantitative analysis and the accuracy of each technique are discussed.

2021 ◽  
Author(s):  
Juan M Zambrano Chaves ◽  
Akshay S Chaudhari ◽  
Andrew L Wentland ◽  
Arjun D Desai ◽  
Imon Banerjee ◽  
...  

AbstractCurrent risk scores for predicting ischemic heart disease (IHD) risk—the leading cause of global mortality—have limited efficacy. While body composition (BC) imaging biomarkers derived from abdominopelvic computed tomography (CT) correlate with IHD risk, they are impractical to measure manually. Here, in a retrospective cohort of 8,197 contrast-enhanced abdominopelvic CT examinations undergoing up to 5 years of follow-up, we developed improved multimodal opportunistic risk assessment models for IHD by automatically extracting BC features from abdominal CT images and integrating these with features from each patient’s electronic medical record (EMR). Our predictive methods match and, in some cases, outperform clinical risk scores currently used in IHD risk assessment. We provide clinical interpretability of our model using a new method of determining tissue-level contributions from CT along with weightings of EMR features contributing to IHD risk. We conclude that such a multimodal approach, which automatically integrates BC biomarkers and EMR data can enhance IHD risk assessment and aid primary prevention efforts for IHD.


2013 ◽  
Vol 34 (suppl 1) ◽  
pp. P5333-P5333
Author(s):  
S. Ide ◽  
K. Yokoi ◽  
K. Okayama ◽  
P. Siegrist ◽  
I. Mizote ◽  
...  

2019 ◽  
Vol 12 (5) ◽  
pp. 58-63
Author(s):  
ELVIRA B. FROLOVA ◽  
◽  
SERGEY V. KUROCHKIN ◽  
NIKOLAY A. TSYBULKIN ◽  
LEYSAN I. GAYNUTDINOVA ◽  
...  

2020 ◽  
Vol 10 (6) ◽  
pp. 1954-1978
Author(s):  
Sara Seitun ◽  
Alberto Clemente ◽  
Cecilia De Lorenzi ◽  
Stefano Benenati ◽  
Dante Chiappino ◽  
...  

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