Correlation between Intravascular Ultrasound and Multi-Detector Computed Tomography in Assessment of Coronary Lesion in Patients with Ischemic Heart Disease

Until today, there are no universally accepted methods for detection of unstable atherosclerotic plaques, even though many recent studies were devoted to this issue. In this article we present modern possibilities of computed tomography in visualization of atherosclerotic coronary lesion, including the detection of unstable lesions, whot in turn, can help in diagnosing subclinical exacerbation of ischemic heart disease and in the stratification of risks of acute coronary events.

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07: Value of Multi-Detector Computed Tomography Evaluation of Myocardial Perfusion in the Assessment of Ischemic Heart Disease: Comparison With Nuclear Perfusion Imaging

Journal of Cardiovascular Computed Tomography ◽

10.1016/j.jcct.2008.06.016 ◽

2008 ◽

Vol 2 (4) ◽

pp. S3

Keyword(s):

Computed Tomography ◽

Heart Disease ◽

Myocardial Perfusion ◽

Ischemic Heart Disease ◽

Perfusion Imaging ◽

Ischemic Heart ◽

Multi Detector Computed Tomography

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Comparison of intravascular ultrasound and x-ray computed tomography of the thoracic aorta: Correlation with ischemic heart disease and risk factors

International Journal of Angiology ◽

10.1007/s00547-002-0176-7 ◽

2011 ◽

Vol 11 (03) ◽

pp. 139-143

Author(s):

Eiji Tamiya ◽

Hiroyasu Ando ◽

Nobuhiko Ito ◽

Hiroshi Ikenouchi ◽

Yoshiyuki Hada

Keyword(s):

Risk Factors ◽

Computed Tomography ◽

Heart Disease ◽

Ischemic Heart Disease ◽

Intravascular Ultrasound ◽

Thoracic Aorta ◽

Ischemic Heart ◽

X Ray ◽

X Ray Computed

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Opportunistic Assessment of Ischemic Heart Disease Risk Using Abdominopelvic Computed Tomography and Medical Record Data: a Multimodal Explainable Artificial Intelligence Approach

10.1101/2021.01.23.21250197 ◽

2021 ◽

Author(s):

Juan M Zambrano Chaves ◽

Akshay S Chaudhari ◽

Andrew L Wentland ◽

Arjun D Desai ◽

Imon Banerjee ◽

...

Keyword(s):

Computed Tomography ◽

Risk Assessment ◽

Heart Disease ◽

Ischemic Heart Disease ◽

Medical Record ◽

Disease Risk ◽

Tissue Level ◽

Ischemic Heart ◽

Risk Scores ◽

Imaging Biomarkers

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.

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