With the enormous progress in the field of cardiovascular imaging in recent years, computed tomography (CT) has become readily available to phenotype atherosclerotic coronary artery disease. New analytical methods using artificial intelligence (AI) enable the analysis of complex phenotypic information of atherosclerotic plaques. In particular, deep learning-based approaches using convolutional neural networks (CNNs) facilitate tasks such as lesion detection, segmentation, and classification. New radiotranscriptomic techniques even capture underlying bio-histochemical processes through higher-order structural analysis of voxels on CT images. In the near future, the international large-scale Oxford Risk Factors And Non-invasive Imaging (ORFAN) study will provide a powerful platform for testing and validating prognostic AI-based models. The goal is the transition of these new approaches from research settings into a clinical workflow. In this review, we present an overview of existing AI-based techniques with focus on imaging biomarkers to determine the degree of coronary inflammation, coronary plaques, and the associated risk. Further, current limitations using AI-based approaches as well as the priorities to address these challenges will be discussed. This will pave the way for an AI-enabled risk assessment tool to detect vulnerable atherosclerotic plaques and to guide treatment strategies for patients.

Background The origins of sex differences in cardiovascular diseases are not well understood. We examined the contribution of childhood risk factors to sex differences in adult carotid artery plaques and intima-media thickness (carotid IMT). Methods and Results Children in the 1985 Australian Schools Health and Fitness Survey were followed up when they were aged 36 to 49 years (2014-19, n=1085-1281). Log binomial and linear regression examined sex differences in adult carotid plaques (n=1089) or carotid IMT (n=1283). Childhood sociodemographic, psychosocial, and biomedical risk factors that might contribute to sex differences in carotid IMT/plaques were examined using purposeful model building with additional adjustment for equivalent adult risk factors in sensitivity analyses. Women less often had carotid plaques (10%) than men (17%). The sex difference in the prevalence of plaques (relative risk [RR] unadjusted 0.59 [95% CI, 0.43 to 0.80]) was reduced by adjustment for childhood school achievement and systolic blood pressure (RR adjusted 0.65 [95% CI, 0.47 to 0.90]). Additional adjustment for adult education and systolic blood pressure further reduced sex difference (RR adjusted 0.72 [95% CI, 0.49 to 1.06]). Women (mean±SD 0.61±0.07) had thinner carotid IMT than men (mean±SD 0.66±0.09). The sex difference in carotid IMT (β unadjusted -0.051 [95% CI, -0.061 to -0.042]) reduced with adjustment for childhood waist circumference and systolic blood pressure (β adjusted -0.047 [95% CI, -0.057 to -0.037]) and further reduced with adjustment for adult waist circumference and systolic blood pressure (β adjusted -0.034 [95% CI, -0.048 to -0.019]). Conclusions Some childhood factors contributed to adult sex differences in plaques and carotid IMT. Prevention strategies across the life course are important to reduce adult sex differences in cardiovascular diseases.

OBJECTIVE: Radiomics is a quantitative method able to analyze a high-throughput extraction of minable imaging features. Herein, we aim to develop a CT angiography-based radiomics analysis and machine learning model for carotid plaques to discriminate vulnerable from no vulnerable plaques.
METHODS: Thirty consecutive patients with carotid atherosclerosis were enrolled in this pilot study. At surgery, a binary classification of plaques was adopted (\"hard\" vs \"soft\"). Feature extraction was performed using the R software package Moddicom. Pairwise feature interdependencies were evaluated using the Spearman rank correlation coefficient. A univariate analysis was performed to assess the association between each feature and the plaque classification and chose top-ranked features. The feature predictive value was investigated using binary logistic regression. A stepwise backward elimination procedure was performed to minimize the Akaike information criterion (AIC). The final significant features were used to build the models for binary classification of carotid plaques, including logistic regression (LR), support vector machine (SVM), and classification and regression tree analysis (CART). All models were cross-validated using fivefold cross validation. Class-specific accuracy, precision, recall and F-measure evaluation metrics were used to quantify classifier output quality.
RESULTS: A total of 230 radiomics features were extracted from each plaque. Pairwise Spearman correlation between features reported a high level of correlations, with more than 80% correlating with at least one other feature at |ρ|> 0.8. After a stepwise backward elimination procedure, the entropy and volume features were found to be the most significantly associated with the two plaque groups (p < 0.001), with AUCs of 0.92 and 0.96, respectively. The best performance was registered by the SVM classifier with the RBF kernel, with accuracy, precision, recall and F-score equal to 86.7, 92.9, 81.3 and 86.7%, respectively. The CART classification tree model for the entropy and volume features model achieved 86.7% well-classified plaques and an AUC of 0.987.
CONCLUSIONS: This pilot study highlighted the potential of CTA-based radiomics and machine learning to discriminate plaque composition. This new approach has the potential to provide a reliable method to improve risk stratification in patients with carotid atherosclerosis.

Rabbits are a useful animal model for examining human hyperlipidemia and atherosclerosis because they have unique features of lipoprotein metabolism that are similar to those in humans. Feeding rabbits a cholesterol-rich diet is a simple means to induce experimental atherosclerosis. Indeed, cholesterol-fed rabbits were first applied to address the relationship between dietary cholesterol and atherosclerosis more than 100 years ago. However, the methods for investigating atherosclerosis using cholesterol-fed rabbits have not been well formulated. In this chapter, we attempt to provide readers with the essential methods to use cholesterol-fed rabbits in the examination of atherosclerosis from cholesterol diet preparation to lesion analysis. These protocols are compiled for both experienced and young researchers who intend to use rabbits for the investigation of lipoprotein metabolism and atherosclerosis.

Gerstmann-Sträussler-Scheinker syndrome (GSS) is a hereditary neurodegenerative disease characterized by extracellular aggregations of pathological prion protein (PrP) forming characteristic plaques. Our study aimed to evaluate the micromorphology and protein composition of these plaques in relation to age, disease duration, and co-expression of other pathogenic proteins related to other neurodegenerations. Hippocampal regions of nine clinically, neuropathologically, and genetically confirmed GSS subjects were investigated using immunohistochemistry and multichannel confocal fluorescent microscopy. Most pathognomic prion protein plaques were small (2-10 µm), condensed, globous, and did not contain any of the other investigated proteinaceous components, particularly dystrophic neurites. Equally rare (in two cases out of nine) were plaques over 50 µm having predominantly fibrillar structure and exhibit the presence of dystrophic neuritic structures; in one case, the plaques also included bulbous dystrophic neurites. Co-expression with hyperphosphorylated protein tau protein or amyloid beta-peptide (Aβ) in GSS PrP plaques is generally a rare observation, even in cases with comorbid neuropathology. The dominant picture of the GSS brain is small, condensed plaques, often multicentric, while presence of dystrophic neuritic changes accumulating hyperphosphorylated protein tau or Aβ in the PrP plaques are rare and, thus, their presence probably constitutes a trivial observation without any relationship to GSS development and progression.

Both carotid intima-media thickness (IMT) and arterial plaques have been shown to predict future CV events. Since there are no previous studies on the subject, our objective was to compare carotid IMT and the length of plaques in abdominal-pelvic main arteries in CV risk assessment in a prospective study setting with a follow-up of over 20 years.
A total of 1007 patients (50% men), aged 51 ± 6.0 years, participated in the current study. Carotid IMT and the summarized plaque length (SUM) from abdominal aorta to common femoral arteries were ultrasonographically assessed. Patients were followed-up a median (1st-3rd quartile) of 22.5 (17.5-23.2) years for CV events.
SUM significantly predicted CV events (HR per every 10 mm increase: 1.035, 95% CI: 1.027-1.044, p < 0.001). Those in the highest SUM tertile had over 3-fold risk for CV event (HR: 3.392, 95% CI: 2.427-4.741, p < 0.001) when compared to those in the lowest tertile. SUM significantly predicted CV events even after adjusting for age, sex, hypertension, diabetes, smoking (pack-years), LDL cholesterol and IMT. Adding SUM to the established model improved C-index (95% CI) from 0.706 (0.674-0.738) to 0.718 (0.688-0.747) as well as both discrimination (p < 0.001) and reclassification (p < 0.001) of the patients. In contrast, IMT predicted cardiovascular events only in univariate analysis and it did not improve discrimination or reclassification of the patients.
In light of our findings, SUM is a superior indicator and clinical tool for evaluating the overall CV risk compared to carotid IMT.

Alzheimer\'s disease (AD) and sporadic Creutzfeldt-Jakob disease (sCJD) are both characterized by extracellular pathologically conformed aggregates of amyloid proteins-amyloid β-protein (Aβ) and prion protein (PrPSc), respectively. To investigate the potential morphological colocalization of Aβ and PrPSc aggregates, we examined the hippocampal regions (archicortex and neocortex) of 20 subjects with confirmed comorbid AD and sCJD using neurohistopathological analyses, immunohistochemical methods, and confocal fluorescent microscopy. Our data showed that extracellular Aβ and PrPSc aggregates tended to be, in most cases, located separately, and \"compound\" plaques were relatively rare. We observed PrPSc plaque-like structures in the periphery of the non-compact parts of Aβ plaques, as well as in tau protein-positive dystrophic structures. The AD ABC score according to the NIA-Alzheimer\'s association guidelines, and prion protein subtype with codon 129 methionine-valine (M/V) polymorphisms in sCJD, while representing key characteristics of these diseases, did not correlate with the morphology of the Aβ/PrPSc co-aggregates. However, our data showed that PrPSc aggregation could dominate during co-aggregation with non-compact Aβ in the periphery of Aβ plaques.

BACKGROUND: Inverse psoriasis is characterized by erythematous nonscaly plaques in intertriginous regions. Similarly, erythrasma, a superficial infection caused by Corynebacterium minutissimum (C. minutissimum), is also found in skin folds with red-brown lesions, making the distinction between psoriasis and erythrasma difficult. No studies have previously determined whether these two clinically similar cutaneous disorders can occur concurrently. METHODS: Thirty patients with inverse psoriatic plaques were examined using a standard Wood\'s lamp to visualize porphyrins associated with C. minutissimum. RESULTS: Just over half (56.6%) of patients with inverse psoriatic plaques showed evidence of this bacterium. Specifically, 45.5 percent of inverse psoriatic lesions were found to be positive for C. minutissimum, with the highest prevalence of erythrasma located in the gluteal cleft. CONCLUSION: Clinical suspicion for C. minutissimum should be high in patients with inverse psoriasis due to the organism\'s potential to trigger or exacerbate psoriatic lesions. Further studies are indicated to determine the response to treatment in patients with this combination.

Familial hypercholesterolaemia (FH) is characterised by a high, but variable risk of premature coronary artery disease (CAD). Cardiac computed tomography angiography (CCTA) can be employed to assess subclinical coronary atherosclerosis. We investigated the features and distribution of coronary artery plaques in asymptomatic patients with and without genetically confirmed heterozygous FH.
We undertook an aged-matched case-control study of asymptomatic phenotypic FH patients with (cases, M+) and without (controls, M-) an FH-causing mutation. Coronary atherosclerosis was assessed by CCTA and calcium scoring. Coronary segments were evaluated for global and vessel-level coronary plaques and degree of stenosis.
We studied 104 cases and 104 controls (mean age 49.9 ± 10.4 years), who had a similar spectrum of non-cardiovascular risk factors. Pre-treatment plasma LDL-cholesterol was higher in the M+ than M- group (7.8 ± 2.1 vs 6.2 ± 1.2 mmol/L, p<0.001). There was a greater proportion of patients with mixed and calcified plaque, as well as a higher coronary artery calcium score and segment stenosis score (all p<0.05), in the M+ compared with the M- group. M+ patients also had a significantly higher frequency of coronary artery calcium in the left main and anterior descending and right coronary arteries (all p<0.05), but not in the left circumflex.
Among patients with phenotypic FH, those with a genetically confirmed diagnosis had a higher frequency and severity of coronary atherosclerotic plaques, and specifically more advanced calcified plaques.

BACKGROUND: The Mediterranean diet (MeDi) is known to prevent cardiovascular events but the mechanisms mediating this association are not fully understood.
OBJECTIVE: The objective of the study was to examine the association between MeDi adherence and the presence and extent of atherosclerotic plaques in carotid, femoral, and aorta territories and its relationship with risk factors in asymptomatic middle-aged adults.
METHODS: Cross-sectional analysis of the Aragon Workers\' Health Study, a cohort of 2588 subjects (94.9% men aged 51.3 ± 3.89 years) without previous cardiovascular history. Participants underwent carotid, femoral, and aorta ultrasound for the quantification of number and thickness of plaques and intima-media thickness. To estimate the participant\'s adherence to MeDi, we computed the Alternative MEDiterranean index (aMED).
RESULTS: The overall aMED score was 4.19 ± 1.70, representing a moderate adherence to MeDi. aMED score was associated with the presence of plaque in femoral arteries (odds ratio highest vs lowest aMED score quartile: 0.63; 95% confidence interval: 0.48-0.83; P trend = .045) independently of risk factors and mediators. The strongest association between aMED quartiles and presence of plaque was found among smokers, both in femoral (0.39 [0.22-0.69]; P trend = .001) and in any territory (0.33 [0.14-0.79], P trend = .008). aMED was inversely associated with the number of plaques in all territories except for carotids.
CONCLUSIONS: MeDi adherence showed a dose-dependent protective association with the presence, number, and thickness of plaques independent of other risk factors. The association was strongest for femoral arteries and among smokers.