Estimated Pulse-Wave Velocity and Magnetic Resonance Imaging Markers of Cerebral Small-Vessel Disease in the NOMAS.

BACKGROUND: Pulse-wave velocity is a measure of arterial stiffness and a risk factor for cardiovascular disease. Recently, an estimated pulse-wave velocity (ePWV) was introduced that was predictive of increased risk of cardiovascular disease. Our objective was to determine whether ePWV was associated with cerebral small-vessel disease on magnetic resonance imaging. METHODS AND RESULTS: We included 1257 participants from the NOMAS (Northern Manhattan Study). The ePWV values were calculated using a nonlinear function of age and mean arterial blood pressure. The association between ePWV and white matter hyperintensity volume was assessed. Modification by race and ethnicity was evaluated. Associations between ePWV and other cerebral small-vessel disease markers, covert brain infarcts, cerebral microbleeds, and enlarged perivascular spaces, were explored as secondary outcomes. Mean±SD age of the cohort was 64±8 years; 61% were women; 18% self-identified as non-Hispanic Black, 67% as Hispanic, and 15% as non-Hispanic White individuals. Mean±SD ePWV was 11±2 m/s in the total NOMAS population and was similar across race and ethnic groups. The ePWV was significantly associated with white matter hyperintensity volume (ß=0.23 [95% CI, 0.20-0.26]) after adjustment. Race and ethnicity modified the association between ePWV and white matter hyperintensity volume, with stronger associations in Hispanic and non-Hispanic Black individuals. Significant associations were found between ePWV and covert brain infarcts, cerebral microbleeds, and perivascular spaces after adjustment. CONCLUSIONS: The ePWV function may provide a vascular mechanism for deleterious cerebrovascular outcomes in individuals with cerebral small-vessel disease and is particularly apparent in the racial and ethnic minorities represented in the NOMAS cohort.

The evaluation value of intracranial magnetic resonance angiography combined with carotid ultrasound in cerebral infarction.

Objective: To explore the evaluation value of intracranial magnetic resonance angiography (MRA) combined with carotid ultrasound (CU) in patients with cerebral infarction (CI). Methods: A retrospective analysis was conducted on 122 patients with CI who underwent intracranial MRA combined with CU examination in Shengzhou People's Hospital from January 2021 to October 2022. Vascular stenosis rate and CU parameters of patients with different degrees of nerve damage (ND) and size of CI lesion were analyzed. Results: The rate of vascular stenosis and ultrasound parameters significantly varied between patients with different degrees of ND and different sizes of CI lesion. Spearman test showed a significant positive correlation between vascular stenosis, pulsatile index (PI), and resistance index (RI) with the degree of ND and the size of CI lesions in patients. There was a significant negative correlation between peak systolic velocity (PSV) and end-diastolic velocity (EDV) and the degree of ND and the size of CI lesions (P<0.05). Conclusions: Intracranial MRA combined with CU can clarify the vascular stenosis and hemodynamic characteristics of patients with CI, and the combined approach closely correlates with the characteristics of CI, which can be used for disease assessment.

The association of carotid plaque burden and composition and the coronary artery calcium score in intermediate cardiovascular risk patients.

Both the carotid ultrasound and coronary artery calcium (CAC) score quantify subclinical atherosclerosis and are associated with cardiovascular disease and events. This study investigated the association between CAC score and carotid plaque quantity and composition. Adult participants (n = 43) without history of cardiovascular disease were recruited to undergo a carotid ultrasound. Maximum plaque height (MPH), total plaque area (TPA), carotid intima-media thickness (CIMT), and plaque score were measured. Grayscale pixel distribution analysis of ultrasound images determined plaque tissue composition. Participants then underwent CT to determine CAC score, which were also categorized as absent (0), mild (1-99), moderate (100-399), and severe (400+). Spearman correlation coefficients between carotid variables and CAC scores were computed. The mean age of participants was 63 ± 11 years. CIMT, TPA, MPH, and plaque score were significantly associated with CAC score (ρ = 0.60, p < 0.0001; ρ = 0.54, p = 0.0002; ρ = 0.38, p = 0.01; and ρ = 0.49, p = 0.001). Echogenic composition features %Calcium and %Fibrous tissue were not correlated to a clinically relevant extent. There was a significant difference in the TPA, MPH, and plaque scores of those with a severe CAC score category compared to lesser categories. While carotid plaque burden was associated with CAC score, plaque composition was not. Though CAC score reliably measures calcification, carotid ultrasound gives information on both plaque burden and composition. Carotid ultrasound with assessment of plaque features used in conjunction with traditional risk factors may be an alternative or additive to CAC scoring and could improve the prediction of cardiovascular events in the intermediate risk population.

Carotid Ultrasound-Based Plaque Score for the Allocation of Aspirin for the Primary Prevention of Cardiovascular Disease Events: The Multi-Ethnic Study of Atherosclerosis and the Atherosclerosis Risk in Communities Study.

BACKGROUND: Coronary artery calcium testing using noncontrast cardiac computed tomography is a guideline-indicated test to help refine eligibility for aspirin in primary prevention. However, access to cardiac computed tomography remains limited, with carotid ultrasound used much more often internationally. We sought to update the role of aspirin allocation in primary prevention as a function of subclinical carotid atherosclerosis. METHODS AND RESULTS: The study included 11 379 participants from the MESA (Multi-Ethnic Study of Atherosclerosis) and ARIC (Atherosclerosis Risk in Communities) studies. A harmonized carotid plaque score (range, 0-6) was derived using the number of anatomic sites with plaque from the left and right common, bifurcation, and internal carotid artery on ultrasound. The 5-year number needed to treat and number needed to harm as a function of the carotid plaque score were calculated by applying a 12% relative risk reduction in atherosclerotic cardiovascular disease (ASCVD) events and 42% relative increase in major bleeding events related to aspirin use, respectively. The mean age was 57 years, 57% were women, 23% were Black, and the median 10-year ASCVD risk was 12.8%. The 5-year incidence rates (per 1000 person-years) were 5.5 (4.9-6.2) for ASCVD and 1.8 (1.5-2.2) for major bleeding events. The overall 5-year number needed to treat with aspirin was 306 but was 2-fold lower for individuals with carotid plaque versus those without carotid plaque (212 versus 448). The 5-year number needed to treat was less than the 5-year number needed to harm when the carotid plaque score was ≥2 for individuals with ASCVD risk 5% to 20%, whereas the presence of any carotid plaque demarcated a favorable risk-benefit for individuals with ASCVD risk >20%. CONCLUSIONS: Quantification of subclinical carotid atherosclerosis can help improve the allocation of aspirin therapy.

Explore the value of carotid ultrasound radiomics nomogram in predicting ischemic stroke risk in patients with type 2 diabetes mellitus.

Background and objective: Type 2 Diabetes Mellitus (T2DM) with insulin resistance (IR) is prone to damage the vascular endothelial, leading to the formation of vulnerable carotid plaques and increasing ischemic stroke (IS) risk. The purpose of this study is to develop a nomogram model based on carotid ultrasound radiomics for predicting IS risk in T2DM patients. Methods: 198 T2DM patients were enrolled and separated into study and control groups based on IS history. After manually delineating carotid plaque region of interest (ROI) from images, radiomics features were identified and selected using the least absolute shrinkage and selection operator (LASSO) regression to calculate the radiomics score (RS). A combinatorial logistic machine learning model and nomograms were created using RS and clinical features like the triglyceride-glucose index. The three models were assessed using area under curve (AUC) and decision curve analysis (DCA). Results: Patients were divided into the training set and the testing set by the ratio of 0.7. 4 radiomics features were selected. RS and clinical variables were all statically significant in the training set and were used to create a combination model and a prediction nomogram. The combination model (radiomics + clinical nomogram) had the largest AUC in both the training set and the testing set (0.898 and 0.857), and DCA analysis showed that it had a higher overall net benefit compared to the other models. Conclusions: This study created a carotid ultrasound radiomics machine-learning-based IS risk nomogram for T2DM patients with carotid plaques. Its diagnostic performance and clinical prediction capabilities enable accurate, convenient, and customized medical care.

Relationship between nailfold videocapillaroscopic findings and cardiovascular risk factors.

BACKGROUND: Nailfold Videocapillaroscopy (NVC) is a valuable tool in the differential diagnosis of Raynaud's phenomenon (RP), present in certain Rheumatic diseases (RD). Knowing that many people have cardiovascular risk factors (CVRF), the main objective was to demonstrate that CVRF and carotid plaques produce NVC alterations. METHODS: Cross-sectional unicentric study carried out from 2020 to 2023. Four groups were formed: subjects with RD and RP, participants with RD without RP, subjects with RP without RD and finally participants without RP or RD (study group). Each subject exhibiting CVRF presented only a single risk factor. The variables collected were: sociodemographic, CVRF (diabetes, tobacco, alcohol (ALC), obesity (OBE), dyslipidemia and arterial hypertension (AH)), diseases, RP, treatments, tortuosities and NVC alterations (ramified capillaries, enlarged capillaries, giant capillaries, haemorrhages and density loss) and carotid ultrasound (CU). RESULTS: 402 subjects were included (76 % women, mean age 51 ± 16 years), 67 % had CVRF, 50 % RP and 38 % RD. Tortuosities were present in 100 % of CVRF participants. A statistically significant association was found between the presence of CVRF and all the NVC alterations: ramified capillaries (OR = 95.6), enlarged capillaries (OR = 59.2), giant capillaries (OR = 8.32), haemorrhages (OR = 17.6) and density loss (OR = 14.4). In particular, an association was found between giant capillaries with AH (p = 0,008) and OBE (p ã€ˆ0,001), and haemorrhages and density loss with ALC and OBE (p < 0,001). On the other hand, 40 subjects presented CU plaques (9.9 %), associated with enlarged capillaries (OR = 8.08), haemorrhages (OR = 4.04) and ramified capillaries (OR = 3.01). The pathological intima-media thickness was also associated with haemorrhages (OR = 3.14). CONCLUSIONS: There is a clear association between CVRF and ultrasound atherosclerotic findings in carotid with NVC alterations. These findings are of special interest for a correct NVC interpretation and to avoid false positives in the diagnosis of primary and secondary RP.

The Reliability of Carotid Artery Doppler Ultrasonography Indices in Predicting Fluid Responsiveness during Surgery for Geriatric Patients: A Prospective, Observational Study.

BACKGROUND: The reliability of determining fluid responsiveness during surgery in geriatric patients is challenging. Our primary outcome was to determine the reliability of Corrected Flow Time (FTc) in predicting fluid responsiveness. METHODS: Elderly patients undergoing major surgery under general anesthesia were included. Measurements of common carotid artery diameter, velocity time integral, and systolic flow time (FT) were performed before and after a fluid challenge. FTc and carotid blood flow (CBF) were subsequently calculated. RESULTS: The median change in carotid diameter was significantly higher in the fluid-responder (R) compared to the non-responder (NR) (6.51% vs. 0.65%, p = 0.049). The median change in CBF was notably higher in R compared to NR (30.04% vs. 9.72%, p = 0.024). Prior to the fluid challenge, systolic FT was significantly shorter in R than NR (285 ms vs. 315 ms, p = 0.027), but after the fluid challenge, these measurements became comparable among the groups. The change in systolic FT was higher in R (15.38% vs. 7.49%, p = 0.027). FTc and the change in FTc exhibited similarities among the groups at all study time points. Receiver operating characteristic analysis demonstrated an area under the curve of 0.682 (95% CI: 0.509-0.855, p = 0.039) for carotid diameter, 0.710 (95% CI: 0.547-0.872, p = 0.011) for CBF, 0.706 (95% CI: 0.540-0.872, p = 0.015) for systolic FT, and 0.580 (95% CI = 0.389-0.770, p = 0.413) for FTc. CONCLUSIONS: In geriatric patients, potential endothelial changes in the carotid artery may influence the dynamic markers of fluid responsiveness. Despite the demonstrated effectiveness of FTc in predicting fluid responsiveness in the general population, this study underscores the limited reliability of carotid Doppler ultrasonography indices for prediction in a geriatric patient population.

Added Clinical Value of Intraplaque Neovascularization Detection to Color Doppler Ultrasound for Assessing Ischemic Stroke Risk.

Purpose: Intraplaque neovascularization, assessed using contrast-enhanced ultrasound (CEUS), is associated with ischemic stroke. It remains unclear whether detection of intraplaque neovascularization combined with color Doppler ultrasound (CDUS) provides additional value compared with CDUS alone in assessing ischemic stroke risk. Therefore, we investigated the clinical value of combined CEUS, CDUS, and clinical features for ischemic stroke risk stratification. Patients and Methods: We recruited 360 patients with ≥50% carotid stenosis between January 2019 and September 2022. Patients were examined using CDUS and CEUS. Covariates associated with ischemic stroke were identified using multivariate logistic regression analysis. The discrimination and calibration were verified using the C-statistic and Hosmer-Lemeshow test. The incremental value of intraplaque neovascularization in the assessment of ischemic stroke was analyzed using the Delong test. Results: We analyzed the data of 162 symptomatic and 159 asymptomatic patients who satisfied the inclusion and exclusion criteria, respectively. Based on multivariate logistic regression analysis, we constructed a nomogram using intraplaque neovascularization, degree of carotid stenosis, plaque hypoechoicity, and smoking status, with a C-statistic of 0.719 (95% confidence interval [CI]: 0.666-0.768) and a Hosmer-Lemeshow test p value of 0.261. The net reclassification index of the nomogram was 0.249 (95% CI: 0.138-0.359), and the integrated discrimination improvement was 0.053 (95% CI: 0.029-0.079). Adding intraplaque neovascularization to the combination of CDUS and clinical features (0.672; 95% CI: 0.617-0.723) increased the C-statistics (p=0.028). Conclusion: Further assessment of intraplaque neovascularization after CDUS may help more accurately identify patients at risk of ischemic stroke. Combining multiparametric carotid ultrasound and clinical features may help improve the risk stratification of patients with ischemic stroke with ≥50% carotid stenosis.

We studied whether using contrast-enhanced ultrasound (CEUS) to detect intraplaque neovascularization could help better determine the risk of ischemic stroke. We compared the combined use of color Doppler ultrasound (CDUS) and CEUS with CDUS alone in patients with more than 50% carotid narrowing. Our findings showed that combining clinical details, CDUS, and CEUS was more effective (0.719 vs 0.672). This means that CEUS provides extra insight when gauging ischemic stroke risk compared with CDUS alone. This could help in accurately identifying patients at high risk of stroke. However, more extensive studies are needed to fully understand the role of these tests in the evaluation of stroke risk.

Deep learning approach for cardiovascular disease risk stratification and survival analysis on a Canadian cohort.

The quantification of carotid plaque has been routinely used to predict cardiovascular risk in cardiovascular disease (CVD) and coronary artery disease (CAD). To determine how well carotid plaque features predict the likelihood of CAD and cardiovascular (CV) events using deep learning (DL) and compare against the machine learning (ML) paradigm. The participants in this study consisted of 459 individuals who had undergone coronary angiography, contrast-enhanced ultrasonography, and focused carotid B-mode ultrasound. Each patient was tracked for thirty days. The measurements on these patients consisted of maximum plaque height (MPH), total plaque area (TPA), carotid intima-media thickness (cIMT), and intraplaque neovascularization (IPN). CAD risk and CV event stratification were performed by applying eight types of DL-based models. Univariate and multivariate analysis was also conducted to predict the most significant risk predictors. The DL's model effectiveness was evaluated by the area-under-the-curve measurement while the CV event prediction was evaluated using the Cox proportional hazard model (CPHM) and compared against the DL-based concordance index (c-index). IPN showed a substantial ability to predict CV events (p < 0.0001). The best DL system improved by 21% (0.929 vs. 0.762) over the best ML system. DL-based CV event prediction showed a ~ 17% increase in DL-based c-index compared to the CPHM (0.86 vs. 0.73). CAD and CV incidents were linked to IPN and carotid imaging characteristics. For survival analysis and CAD prediction, the DL-based system performs superior to ML-based models.

Evento cardiovascular en una cohorte de pacientes con artritis reumatoide en Castilla-La Mancha, utilidad de la ecografía carotídea / Cardiovascular event in a cohort of rheumatoid arthritis patients in Castilla-La Mancha: Utility of carotid ultrasound

La artritis reumatoide (AR) presenta una mortalidad de 1,3-3 veces superior a la población general donde destaca la mortalidad de origen cardiovascular con un 40-50%. Actualmente se considera la enfermedad cardiovascular como una manifestación extraarticular de la AR, siendo un factor de riesgo independiente de los tradicionales, con un riesgo elevado de enfermedad cardiovascular (OR: 1,5-4,0). La medición ecográfica del grosor íntimo medial (GIM) de la arteria carótida común y la presencia de placas ateromatosas es un método no invasivo y marcador subrogado de arterioesclerosis subclínica. Objetivo: Establecer si los hallazgos de arterioesclerosis subclínica por ecografía carotídea pueden ser un buen predictor del desarrollo de eventos cardiovasculares (ECV) en una cohorte de pacientes con AR a 10 años. Metodología: Se evaluó una cohorte de pacientes con AR atendidos en consulta externa de Reumatología de una hospital de Castilla-La Mancha durante el año 2013. Se realizó una evaluación para el desarrollo de ECV a los 10 años siguientes de comenzado el estudio y se analizó su correlación con los hallazgos ecográficos previos de GIM y placas ateromatosas. Resultados: Ocho (24%) pacientes presentaron un ECV. Tres (9%), episodio de fallo cardiaco; 3 (9%) accidente cerebrovascular y 2 (6%) episodio de infarto agudo al miocardio. Los pacientes con AR que desarrollaron un ECV habían presentado un GIM mayor (0,97±0,08mm) en comparación con los pacientes con AR que no tuvieron complicaciones cardiovasculares (0,74±0,15mm) (p=0,003). La presencia de un GIM≥0,9mm y placas ateromatosas representó un riesgo relativo de 12,25 (p=0,012) y 18,66 (p=0,003), respectivamente, para el desarrollo de un ECV. Conclusiones: La ecografía carotídea en pacientes con AR nos podría permitir la detección precoz de aterosclerosis subclínica antes del desarrollo de ECV, siendo fundamentalmente el GIM≥0,9mm el hallazgo más asociado a ECV y no influenciado por la edad.(AU)

Rheumatoid arthritis (RA) has a mortality rate 1.3–3 times higher than the general population, with cardiovascular mortality accounting for 40%–50% of cases. Currently, cardiovascular disease is considered an extra-articular manifestation of RA (OR: 1.5–4.0). Ultrasound measurement of the intima-media thickness (IMT) of the common carotid artery and the presence of atherosclerotic plaques is a non-invasive method and a surrogate marker of subclinical arteriosclerosis. Objective: To determine if subclinical arteriosclerosis findings through carotid ultrasound can serve as a good predictor of cardiovascular events (CVE) development in a cohort of RA patients over a 10-year period. Methodology: A cohort of RA patients seen in the rheumatology outpatient clinic of a hospital in Castilla-La Mancha in 2013 was evaluated. A prospective evaluation for the development of CVE over the following 10 years was conducted, and its correlation with previous ultrasound findings of IMT and atherosclerotic plaques was analyzed. Results: Eight (24%) patients experienced a CVE. Three (9%) had heart failure, three (9%) had a stroke, and two (6%) experienced acute myocardial infarction. RA patients who developed a CVE had a higher IMT (0.97±0.08mm) compared to the RA patients without cardiovascular complications (0.74±0.15mm) (P=.003). The presence of IMT≥0.9mm and atherosclerotic plaques had a relative risk of 12.25 (P=.012) and 18.66 (P=.003), respectively, for the development of a CVE. Conclusions: Carotid ultrasound in RA patients may allow for early detection of subclinical atherosclerosis before the development of CVE, with IMT≥0.9mm being the most closely associated finding with CVE, unaffected by age.(AU)

Cardiovascular event in a cohort of rheumatoid arthritis patients in Castilla-La Mancha: Utility of carotid ultrasound.

Rheumatoid Arthritis (RA) has a mortality rate 1,3 to 3 times higher than the general population, with cardiovascular mortality accounting for 40-50% of cases. Currently, cardiovascular disease is considered an extraarticular manifestation of RA (OR: 1,5-4,0). Ultrasound measurement of the intima-media thickness (IMT) of the common carotid artery and the presence of atherosclerotic plaques (AP) is a non-invasive method and a surrogate marker of subclinical arteriosclerosis. OBJECTIVE: To determine if subclinical arteriosclerosis findings through carotid ultrasound can serve as a good predictor of cardiovascular events (CVE) development in a cohort of RA patients over a 10-year period. METHODOLOGY: A cohort of RA patients seen in the Rheumatology outpatient clinic of a hospital in Castilla La Mancha in 2013 was evaluated. A prospective evaluation for the development of CVE over the following 10 years was conducted, and its correlation with previous ultrasound findings of IMT and AP was analyzed. RESULTS: Eight (24%) patients experienced a CVE. Three (9%) had heart failure, three (9%) had a stroke, and two (6%) experienced acute myocardial infarction. RA patients who developed a CVE had a higher IMT (0,97 +/- 0.08 mm) compared to the RA patients without CV complications (0,74 +/- 0.15 mm) (p = 0,003). The presence of IMT ≥ 0.9 mm and AP had a relative risk of 12,25 (p = 0,012) and 18,66 (p = 0,003), respectively, for the development of a CVE. CONCLUSIONS: Carotid ultrasound in RA patients may allow for early detection of subclinical atherosclerosis before the development of CVE, with IMT ≥ 0.9 mm being the most closely associated finding with CVE, unaffected by age.

Nuevo índice aterogénico para la predicción de aterosclerosis carotídea basado en la ratio proteína C reactiva no ultrasensible/HDL / New atherogenic index for the prediction of carotid atherosclerosis based on the non-ultrasensitive c-reactive protein/HDL ratio

Introducción La valoración del riesgo cardiovascular aparece en las guías clínicas como medida de prevención de enfermedades cardiovasculares, cuya etiología fundamental es la arteriosclerosis. Una de las herramientas que se utiliza para estimar el riesgo en práctica clínica son los índices aterogénicos (IA), cocientes entre fracciones lipídicas con rangos de referencia bien establecidos. A pesar de su uso extendido, existe todavía información limitada sobre su utilidad clínica. En los últimos años, algunas investigaciones han reforzado el papel de la inflamación en la etiología y cronicidad del proceso aterosclerótico. La inclusión de parámetros inflamatorios en el cálculo de IA podría mejorar su rendimiento diagnóstico en la detección de arteriosclerosis. Nos propusimos evaluar un nuevo IA en forma de ratio entre los valores de proteína C reactiva (PCR) no ultrasensible y las cifras de colesterol unido a lipoproteínas de alta densidad (HDL). Métodos Se incluyeron en el estudio 282 pacientes, asintomáticos, y sin historia de enfermedad cardiovascular. Se realizó en todos ellos analítica con perfil lipídico y PCR, y en el plazo inferior a un mes, ecografía carotídea para evaluar la presencia de ateromatosis. El nuevo IA se estableció como el cociente entre el valor de PCR no ultrasensible en mg/dL (multiplicado por 100) y el valor de HDL en mg/dL. Se comparó con los índices de Castelli I y II, y el índice aterogénico del plasma. La curva ROC determinó que el punto de corte óptimo del nuevo IA fue valor=1, con un área bajo la curva de 0,678 (IC 95% 0,60-0,75; p<0,001). ResultadosLa edad media de la muestra fue 60,4±14,5 años. Un total de 118 pacientes (41,8% del total) tenían arteriosclerosis carotídea. Al evaluar el rendimiento diagnóstico de los IA, encontramos que la ratio PCR·100/HDL mostró los valores más elevados de sensibilidad y valor predictivo positivo (0,73 y 0,68, respectivamente) ... Conclusiones... (AU)

Introduction Current guidelines recommend cardiovascular risk assessment as a preventive measure for cardiovascular diseases, whose fundamental etiology is arteriosclerosis. One of the tools used to estimate risk in clinical practice are atherogenic indices (AI), ratios between lipid fractions with well-established reference ranges. Despite its widespread use, there is still limited information on its clinical utility. In recent years, some research has reinforced the role of inflammation in the etiology and chronicity of the atherosclerotic process. The inclusion of inflammatory parameters in the AI calculation could improve its diagnostic performance in the detection of arteriosclerosis. We sought to evaluate a new AI as a ratio between C-reactive protein (CRP) values and high-density lipoprotein cholesterol (HDL) values. Methods A total of 282 asymptomatic patients with no history of cardiovascular disease were included in the study. Laboratory tests with lipid profile and CRP, and carotid ultrasound to assess the presence of atheromatosis were performed in all of them. The new AI is established as the ratio between non-ultrasensitive CRP value in mg/dL (multiplied by 100) and HDL value in mg/dL. It was compared with the Castelli I and II indices, and the plasma atherogenic index. The optimal cut-off point of the new AI was value=1 as determined by ROC curve, with an area under the curve of 0.678 (95% CI 0.60-0.75; p<0.001).Results Mean age of patients was 60.4±14.5 years. A total of 118 patients (41.8% of total) had carotid arteriosclerosis. When evaluating the diagnostic performance of different AIs, we found that CRP·100/HDL ratio showed the highest values of sensitivity and positive predictive value (0.73 and 0.68, respectively) compared to the Castelli I and II indices, and the plasma atherogenic index. ... Conclusions ... (AU)

Innominate artery occlusion: a case study.

Aim of the study: The aim of this case report is to evaluate carotid duplex and hemodynamic patterns in an asymptomatic male patient with innominate artery occlusion. Innominate artery occlusion is a rare clinical entity that can lead to a range of cerebrovascular symptoms, including arm claudication, subclavian steal syndrome, and stroke. The case report emphasizes key learning points in diagnosing innominate artery occlusion using imaging and physiological methods. Case description: A 64-year-old asymptomatic male patient with a history of carotid bruit, hypertension, coronary artery bypass grafting, aortic aneurysm, hyperlipidemia, mild aortic stenosis, long-term tobacco use, and a body mass index of 24 was referred for a carotid ultrasound. Conclusions: Innominate artery occlusion is a rare condition requiring a comprehensive assessment of collateralization before any intervention is attempted. Considering waveform features such as transient end-diastolic flow reversal and tardus parvus, along with brachial pressures and transcranial Doppler, can assist in evaluating the extent of disease.

Quantitative assessment of carotid ultrasound diameter measurements in the operating room: a comparable analysis of long-axis versus rotated and tilted orientation.

Objective. Carotid ultrasound (US) has been studied as a non-invasive alternative for hemodynamic monitoring. A long-axis (LA) view is traditionally employed but is difficult to maintain and operator experience may impact the diameter estimates, making it unsuitable for monitoring. Preliminary results show that a new, i.e. rotated and tilted (RT) view is more robust to motion and less operator-dependent. This study aimed to quantitatively assess common carotid diameter estimates obtained in a clinical setting from an RT view and compare those to corresponding estimates obtained using other views.Approach. Carotid US measurements were performed in 30 adult cardiac-surgery patients (26 males, 4 females) with short-axis (SA), LA, and RT probe orientations, the first being used as a reference for measuring the true vessel diameter. Per 30 s acquisition, the median and spread in diameter values were computed, the latter representing a measure of robustness, and were statistically compared between views.Main results. The median (IQR) over all the patients of the median diameter per 30 s acquisition was 7.15 (1.15) mm for the SA view, 7.03 (1.51) mm for the LA view, and 6.99 (1.72) mm for the RT view. The median spread in diameter values was 0.18 mm for the SA view, 0.16 mm for the LA view, and 0.18 mm for the RT view. There were no statistically significant differences between views in the median diameter values (p= 0.088) or spread (p= 0.122).Significance. The RT view results in comparable and equally robust median carotid diameter values compared to the reference. These findings open the path for future studies investigating the use of the RT view in new applications, such as in wearable ultrasound devices.

New atherogenic index for the prediction of carotid atherosclerosis based on the non-ultrasensitive c-reactive protein/HDL ratio. / Nuevo índice aterogénico para la predicción de aterosclerosis carotídea basado en la ratio proteína C reactiva no ultrasensible/HDL.

INTRODUCTION: Current guidelines recommend cardiovascular risk assessment as a preventive measure for cardiovascular diseases, whose fundamental etiology is arteriosclerosis. One of the tools used to estimate risk in clinical practice are atherogenic indices (AI), ratios between lipid fractions with well-established reference ranges. Despite its widespread use, there is still limited information on its clinical utility. In recent years, some research has reinforced the role of inflammation in the etiology and chronicity of the atherosclerotic process. The inclusion of inflammatory parameters in the AI calculation could improve its diagnostic performance in the detection of arteriosclerosis. We sought to evaluate a new AI as a ratio between C-reactive protein (CRP) values and high-density lipoprotein cholesterol (HDL) values. METHODS: A total of 282 asymptomatic patients with no history of cardiovascular disease were included in the study. Laboratory tests with lipid profile and CRP, and carotid ultrasound to assess the presence of atheromatosis were performed in all of them. The new AI is established as the ratio between non-ultrasensitive CRP value in mg/dL (multiplied by 100) and HDL value in mg/dL. It was compared with the Castelli I and II indices, and the plasma atherogenic index. The optimal cut-off point of the new AI was value=1 as determined by ROC curve, with an area under the curve of 0.678 (95% CI 0.60-0.75; p<0.001). RESULTS: Mean age of patients was 60.4±14.5 years. A total of 118 patients (41.8% of total) had carotid arteriosclerosis. When evaluating the diagnostic performance of different AIs, we found that CRP·100/HDL ratio showed the highest values of sensitivity and positive predictive value (0.73 and 0.68, respectively) compared to the Castelli I and II indices, and the plasma atherogenic index. It was also the only predictor of carotid atheromatosis both when considering its values quantitatively (with OR 1.4 [95% CI 1.1-1.7]; p=0.005), and qualitatively (with OR 2.9 [95% CI 1.5-5.5]; p<0.001) in patients with a CRP·100/HDL ratio>1. CONCLUSIONS: The new PCR·100/HDL index showed the best diagnostic performance in the detection of carotid atheromatosis compared to other classic AIs in this Spanish population of asymptomatic patients.

An image registration-based self-supervised Su-Net for carotid plaque ultrasound image segmentation.

BACKGROUND AND OBJECTIVES: Total Plaque Area (TPA) measurement is critical for early diagnosis and intervention of carotid atherosclerosis in individuals with high risk for stroke. The delineation of the carotid plaques is necessary for TPA measurement, and deep learning methods can automatically segment the plaque and measure TPA from carotid ultrasound images. A large number of labeled images is essential for training a good deep learning model, but it is very difficult to collect such large labeled datasets for carotid image segmentation in clinical practice. Self-supervised learning can provide a possible solution to improve the deep-learning models on small labeled training datasets by designing a pretext task to pre-train the models without using the segmentation masks. However, the existing self-supervised learning methods do not consider the feature presentations of object contours. METHODS: In this paper, we propose an image registration-based self-supervised learning method and a stacked U-Net (SSL-SU-Net) for carotid plaque ultrasound image segmentation, which can better exploit the semantic features of carotid plaque contours in self-supervised task training. RESULTS: Our network was trained on different numbers of labeled images (n = 10, 33, 50 and 100 subjects) and tested on 44 subjects from the SPARC dataset (n = 144, London, Canada). The network trained on the entire SPARC dataset was then directly applied to an independent dataset collected in Zhongnan hospital (n = 497, Wuhan, China). For the 44 subjects tested on the SPARC dataset, our method yielded a DSC of 80.25-89.18% and the produced TPA measurements, which were strongly correlated with manual segmentation (r = 0.965-0.995, ρ< 0.0001). For the Zhongnan dataset, the DSC was 90.3% and algorithm TPAs were strongly correlated with manual TPAs (r = 0.985, ρ< 0.0001). CONCLUSIONS: The results demonstrate that our proposed method yielded excellent performance and good generalization ability when trained on a small labeled dataset, facilitating the use of deep learning in carotid ultrasound image analysis and clinical practice. The code of our algorithm is available https://github.com/a610lab/Registration-SSL.

Predictive stroke risk model with vision transformer-based Doppler features.

BACKGROUND: Acute stroke is the leading cause of death and disability globally, with an estimated 16 million cases each year. The progression of carotid stenosis reduces blood flow to the intracranial vasculature, causing stroke. Early recognition of ischemic stroke is crucial for disease treatment and management. PURPOSE: A computer-aided diagnosis (CAD) system was proposed in this study to rapidly evaluate ischemic stroke in carotid color Doppler (CCD). METHODS: Based on the ground truth from the clinical examination report, the vision transformer (ViT) features extracted from all CCD images (513 stroke and 458 normal images) were combined in machine learning classifiers to generate the likelihood of ischemic stroke for each image. The pretrained weights from ImageNet reduced the time-consuming training process. The accuracy, sensitivity, specificity, and area under the receiver operating characteristic curve were calculated to evaluate the stroke prediction model. The chi-square test, DeLong test, and Bonferroni correction for multiple comparisons were applied to deal with the type-I error. Only p values equal to or less than 0.00125 were considered to be statistically significant. RESULTS: The proposed CAD system achieved an accuracy of 89%, a sensitivity of 94%, a specificity of 84%, and an area under the receiver operating characteristic curve of 0.95, outperforming the convolutional neural networks AlexNet (82%, p < 0.001), Inception-v3 (78%, p < 0.001), ResNet101 (84%, p < 0.001), and DenseNet201 (85%, p < 0.01). The computational time in model training was only 30 s, which would be efficient and practical in clinical use. CONCLUSIONS: The experiment shows the promising use of CCD images in stroke estimation. Using the pretrained ViT architecture, the image features can be automatically and efficiently generated without human intervention. The proposed CAD system provides a rapid and reliable suggestion for diagnosing ischemic stroke.

Carotid Duplex Ultrasonography to Assess Severity of Low-Flow Low-Gradient Aortic Stenosis.

BACKGROUND: Patients with low-flow, low-gradient aortic valve stenosis constitute a substantial subset of all severe aortic stenosis patients. However, assessment of true severity of these patients can be challenging. In this analysis, we study the utility of the common carotid artery waveforms to distinguish true from pseudo-severe low-flow low-gradient aortic stenosis. METHODS: This is an observational analysis that included patients who underwent a transthoracic echocardiogram (TTE) and duplex carotid ultrasonography (DCUS) and had low-flow, low-gradient aortic stenosis with reduced left ventricular ejection fraction (LVEF) on the index TTE (LVEF <50%, calculated aortic valve area [AVA] of ≤1.0 cm2, mean and peak gradient of <40 and <64 mm Hg, respectively, and stroke volume index <35 mL/m2). Patients were classified as pseudo-severe and true-severe aortic stenosis based on additional subsequent testing. Differences in various TTE and DCUS waveform parameters across the aortic valve and the common carotid artery were compared between the 2 groups. RESULTS: The study included 30 patients (60 carotid arteries). Fifteen patients were categorized as pseudo-severe and 15 as true severe aortic stenosis. There were no significant differences in calculated AVA, LVEF, stroke volume/stroke volume index, and Doppler Velocity Index in the 2 groups. Mean and peak gradient were higher in patients with true-severe aortic stenosis. Carotid acceleration time (cAT) was significantly prolonged in patients with true-severe compared with pseudo-severe aortic stenosis. A cAT ≥80 ms was 83.3% sensitive and 83.3% specific for true-severe aortic stenosis. CONCLUSION: cAT acceleration time may be used to distinguish true from pseudo-severe low-flow, low-gradient aortic valve stenosis.

Systemic immune-inflammation index is associated with ulcerative plaque in patients with acute ischemic stroke: A single center exploratory study.

PURPOSE: This study explored the correlation between inflammatory markers and ulcerative plaques based on carotid doppler ultrasound (CDU) in individuals with acute ischemic stroke (AIS). METHODS: A total of 202 cases diagnosed with AIS associated with atherosclerotic plaque (AP) in the carotid artery were enrolled in this research. Collecting clinical baseline data, laboratory data (such as the complete blood count) and imaging data (CDU and Brain magnetic resonance imaging [MRI]). Then the correlation between Systemic immune-inflammation index (SII, SII = P N/L, where P, N, and L were the peripheral blood platelet, neutrophil and lymphocyte counts, respectively), the shape and position of AP, the degree of carotid artery stenosis, and the presence of ulcerative plaques. Cutoff values were determined accordingly. RESULTS: SII and high sensitivity CRP (hs-CRP) were independent risk factors for the presence of vulnerable carotid plaques. SII, type A plaque, plaque above carotid bifurcation, and severe carotid stenosis were independent risk factors for the presence of ulcerative plaque. The AUC value, the sensitivity, specificity, the best cutoff value of SII in predicting the presence of ulcerative plaque was 0.895, 93.3%, 89.2%, and 537.4 (109 /L), respectively. CONCLUSION: SII at admission was found to be independently associated with the presence of AIS with vulnerable plaque, especially ulcerative plaques. Moreover, plaque ulceration was more likely to form when the area of higher plaque thickness was located in the upstream arterial wall of maximum plaque thickness (WTmax), plaque was above the carotid bifurcation and severe carotid stenosis.