The International Journal of Cardiovascular Imaging (iJCVI)

Great future for in planning PCI in the cath lab. The authors revisit the most frequent scenarios of complex PCI, establish analagoies between intracoronary diagnostics and , and anticipate specific challenges https://link.springer.com/article/10.1007/s10554-020-02052-8

Another excellent overview on machine learning-based algorithms in , and the currently available scientific data on clinical validation and implementation of these algorithms for the prediction of MACE https://link.springer.com/article/10.1007/s10554-020-01929-y

Excellent overview of the current evidence on the complex role of in detection of vulnerable plaques using radiomics-based machine learning for assessment of CAD risks https://link.springer.com/article/10.1007/s10554-020-01926-1

Some parameters of the Liver-Spleen attenuation score in NAFLD correlate with the correlate with the high-risk Leaman score and provide complementary information about CVD risk stratification https://link.springer.com/article/10.1007/s10554-020-02026-w

Leaman and Leiden scores utilize coronary plaque location, composition&stenosis severity to risk stratify patients. Obese and overweight patients have similar average Leaman&Leiden scores, but obese patients were more likely to have Leiden scores>5, which may indicate higher risk for MACE https://link.springer.com/article/10.1007/s10554-020-01938-x

angiographic stenosis and plaque metrics performed only modestly in the prediction of 30-day revascularization and 2-year MACE in high-risk patients in 372 patients of the CORE320 trial

Comparative effectiveness of coronary artery stenosis and atherosclerotic plaque burden assessment for predicting 30-day revascularization and 2-year major adverse cardiac events To provide comparative prognostic information of coronary atherosclerotic plaque volume and stenosis assessment in patients with suspected coronary artery disease (CAD). We followed 372 patients with suspected or known CAD enrolled in the CORE320 study for 2 years after baseline 320-detector row car...

assessment of individual plaques (lesion-level) is superior in predicting CAD progression than a per-patient analysis of atheroma burden in this study with 1297 patients and 3218 non-obstructive lesions from PARADIGM study https://link.springer.com/article/10.1007/s10554-020-01960-z

What are the differences in plaque scores between Morise (South Asian) and matched Caucasian population? https://link.springer.com/article/10.1007/s10554-020-01802-y

The authors found no difference sin low, intermediate or high-attenuation plaque, and MACE wwere similar after 32 months. Therefore, other factors accounting for tthe poorer outcomes in South Asians should be investigated https://link.springer.com/article/10.1007/s10554-020-01802-y

Quantified coronary plaque characteristics between Caucasian and Morise score-matched South Asian populations Low-attenuation plaques (LAPs) are associated with an increased risk of cardiovascular mortality and morbidity. South Asians experience poorer cardiovascular outcomes compared to Caucasian populations. We hypothesised that South Asian population has a higher prevalence of LAP compared to Caucasians....

explains the benefits of imaging and plaque analysis in serial for the evaluation of CV risk analysis and targeted treatment. Whole-heart quantificationof plaque allows the transition from identifying “vulnerable” plaque to “vulnerable” patient https://link.springer.com/article/10.1007/s10554-020-01849-x

also allows for evaluation of plaque physiology based on computational models and not only of the “classic” features of high-risk plaque (plaque volume, low attenuation, napkin-ring sign, spotty calcification, positive remodeling) https://link.springer.com/article/10.1007/s10554-020-01954-x

Prinicples of patient’specific computational fulid dynamics modeling of blood flow can be appled to to calucate local lesion-specific hemodynamics such as endothelial shear stress, fracitonal flow reserve and axial plaque stress https://link.springer.com/article/10.1007/s10554-020-01954-x

Physiology and coronary artery disease: emerging insights from computed tomography imaging based computational modeling Improvements in spatial and temporal resolution now permit robust high quality characterization of presence, morphology and composition of coronary atherosclerosis in computed tomography (CT). These characteristics include high risk features such as large plaque volume, low CT attenuation, napkin-ri...

is very useful to assess plaque progression and the therapeutic effects of anti-atherosclerotic drugs! Because is non/-nvasive, it allows for setting up and enabling clinical trials with lower-risk populations, higher retention rates, and lower costs https://link.springer.com/article/10.1007/s10554-020-01793-w