{"product_id":"carotid-artery-measurements-and-heart-attack-stroke-risk-why-current-guidelines-may-need-a-second-look","title":"Carotid Artery Measurements and Heart Attack\/Stroke Risk: Why Current Guidelines May Need a Second Look","description":"\u003cp\u003eCarotid ultrasound measurements of artery wall thickness and plaque are widely used to predict heart attack and stroke risk, but current measurement guidelines may be outdated and inconsistent. This comprehensive review by an international team of researchers examines the forces that influence these guidelines, including disease types, conventional risk factors, measurement tools, and rapid advances in artificial intelligence. The authors argue that newer full-length measurement techniques and machine learning approaches could significantly improve cardiovascular risk prediction compared to the current 10-millimeter segment measurements recommended by existing guidelines.\u003c\/p\u003e\n\n\u003ch1\u003eCarotid Artery Measurements and Heart Attack\/Stroke Risk: Why Current Guidelines May Need a Second Look\u003c\/h1\u003e\n\n\u003ch2\u003eTable of Contents\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"#ddn-key-points\"\u003eKey Points\u003c\/a\u003e\u003c\/li\u003e\n\n  \u003cli\u003e\u003ca href=\"#background\"\u003eBackground: Why This Research Matters\u003c\/a\u003e\u003c\/li\u003e\n  \u003cli\u003e\u003ca href=\"#methods\"\u003eHow This Review Was Conducted\u003c\/a\u003e\u003c\/li\u003e\n  \u003cli\u003e\u003ca href=\"#guidelines\"\u003eCurrent Guidelines for Carotid Measurements\u003c\/a\u003e\u003c\/li\u003e\n  \u003cli\u003e\u003ca href=\"#diseases\"\u003eDiseases That Affect Atherosclerosis\u003c\/a\u003e\u003c\/li\u003e\n  \u003cli\u003e\u003ca href=\"#risk-factors\"\u003eConventional Risk Factors and Their Link to Carotid Measurements\u003c\/a\u003e\u003c\/li\u003e\n  \u003cli\u003e\u003ca href=\"#phenotypes\"\u003eCurrent and 10-Year Image-Based Phenotypes\u003c\/a\u003e\u003c\/li\u003e\n  \u003cli\u003e\u003ca href=\"#tools\"\u003eMeasurement Tools and Risk Calculators\u003c\/a\u003e\u003c\/li\u003e\n  \u003cli\u003e\u003ca href=\"#technology\"\u003eThe Role of Machine Learning and Deep Learning\u003c\/a\u003e\u003c\/li\u003e\n  \u003cli\u003e\u003ca href=\"#implications\"\u003eClinical Implications for Patients\u003c\/a\u003e\u003c\/li\u003e\n  \u003cli\u003e\u003ca href=\"#limitations\"\u003eStudy Limitations\u003c\/a\u003e\u003c\/li\u003e\n  \u003cli\u003e\u003ca href=\"#recommendations\"\u003eRecommendations for Patients and Healthcare Providers\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"#ddn-faq\"\u003eFrequently Asked Questions\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"#source\"\u003eSource Information\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003c!-- ddn:keypoints:start --\u003e\n\u003ch2 id=\"ddn-key-points\"\u003eKey Points\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eCurrent guidelines measure cIMT in a 10-mm plaque-free segment, but plaques often start at the carotid bifurcation, so this may miss key risk.\u003c\/li\u003e\n\u003cli\u003eFull-length cIMT measurements and total plaque area are newer phenotypes that may improve cardiovascular risk prediction.\u003c\/li\u003e\n\u003cli\u003eCarotid plaque on ultrasound is a strong indicator of high risk for heart attack and stroke, warranting aggressive risk factor management.\u003c\/li\u003e\n\u003cli\u003eCombining conventional risk factors (age, smoking, blood pressure, cholesterol, diabetes, BMI) with carotid measurements gives a more complete risk picture.\u003c\/li\u003e\n\u003cli\u003eMachine learning and deep learning tools can automate carotid measurements, potentially improving consistency and accuracy in risk assessment.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c!-- ddn:keypoints:end --\u003e\n\n\n\u003ch2 id=\"background\"\u003eBackground: Why This Research Matters\u003c\/h2\u003e\n\n\u003cp\u003eCardiovascular diseases (CVD), including myocardial infarction (heart attack) and stroke, remain the leading causes of death both regionally and globally. The underlying culprit in most cases is atherosclerosis, a condition where fatty deposits, calcium, fibrin, fibrosis, and macrophages build up inside artery walls, causing them to thicken and harden.\u003c\/p\u003e\n\n\u003cp\u003eFor the past four decades, doctors have used a non-invasive imaging technique called B-mode carotid ultrasound (CUS) to measure two important markers: carotid intima-media thickness (cIMT) and carotid plaque (CP). The cIMT measures the thickness of the inner two layers of the carotid artery wall, while carotid plaque refers to focal areas of thickening that protrude into the artery. These measurements serve as early warning signs for cardiovascular problems.\u003c\/p\u003e\n\n\u003cp\u003eMore than 2,000 scientific articles have been published on this topic, yet the results have been remarkably inconsistent. This variability likely stems from a lack of standardization in measurement tools, risk stratification methods, and risk assessment approaches. The authors of this review set out to understand why these inconsistencies exist and whether current guidelines need to be updated.\u003c\/p\u003e\n\n\u003cp\u003eThe stakes are high. If doctors can accurately measure carotid artery changes, they can identify patients at risk for heart attacks and strokes before these devastating events occur. Early intervention could save countless lives. But if the measurements are inconsistent or incomplete, patients may receive inaccurate risk assessments, leading to either unnecessary worry or dangerous complacency.\u003c\/p\u003e\n\n\u003ch2 id=\"methods\"\u003eHow This Review Was Conducted\u003c\/h2\u003e\n\n\u003cp\u003eThe research team conducted a systematic search of PubMed, the world's largest biomedical literature database, using an extensive list of keywords. These included terms like \"carotid intima-media thickness,\" \"intima-media thickness variability,\" \"carotid wall motion,\" \"carotid plaque,\" \"cardiovascular risk prediction,\" \"total carotid plaque area,\" \"automated cIMT,\" \"machine learning and carotid artery,\" and \"deep learning and carotid artery,\" among many others.\u003c\/p\u003e\n\n\u003cp\u003eThe initial search returned 36,940 articles. The team then applied four exclusion criteria to narrow down the results:\u003c\/p\u003e\n\u003col\u003e\n  \u003cli\u003eArticles published within the last 15 years were given preference (reducing the pool to 29,659 articles)\u003c\/li\u003e\n  \u003cli\u003eArticles with relevant keywords in the abstract (reducing to 28,297 articles)\u003c\/li\u003e\n  \u003cli\u003eArticles using non-invasive ultrasound imaging (reducing to 5,000 articles)\u003c\/li\u003e\n  \u003cli\u003eArticles specifically related to cIMT and CP measurement guidelines (yielding 107 final articles)\u003c\/li\u003e\n\u003c\/ol\u003e\n\n\u003cp\u003eThis review ultimately synthesized findings from 107 peer-reviewed articles. The authors focused exclusively on 2D carotid longitudinal scans, noting that approximately 90% of atherosclerotic risk assessment uses this approach. They deliberately excluded 3D imaging techniques from their analysis, as those represent a separate and broader topic.\u003c\/p\u003e\n\n\u003ch2 id=\"guidelines\"\u003eCurrent Guidelines for Carotid Measurements\u003c\/h2\u003e\n\n\u003cp\u003eTwo major sets of guidelines currently govern how doctors measure cIMT and carotid plaque: the American Society of Echocardiography (ASE) guidelines, published by Stein et al., and the Mannheim guidelines, published by Touboul et al. Both were developed in the last decade and provide specific recommendations for measurement protocols.\u003c\/p\u003e\n\n\u003cp\u003eAccording to the ASE guidelines, doctors should follow a two-step process for risk assessment. First, they must thoroughly scan the carotid artery to identify any plaque. Second, they measure the cIMT within a 10-millimeter plaque-free segment of the far wall of the common carotid artery (CCA). The guidelines note that most plaque is found at the distal end of the common carotid artery, in the carotid bulb (the widened area where the artery branches), and in the internal carotid artery.\u003c\/p\u003e\n\n\u003cp\u003eThe Mannheim guidelines similarly recommend measuring cIMT in a 10-millimeter plaque-free segment, but they allow measurement in the common carotid artery, internal carotid artery, or carotid bifurcation. The idea behind using plaque-free regions was to ensure reproducible measurements.\u003c\/p\u003e\n\n\u003cp\u003eBoth guidelines define carotid plaque similarly but with slight differences. The ASE guidelines define plaque as focal wall thickening that is 50% greater than the surrounding cIMT, or a focal region with cIMT greater than 1.5 millimeters protruding into the lumen (the open channel of the artery). The Mannheim guidelines add one additional criterion: plaque can also be defined as focal thickening encroaching into the lumen by at least 0.5 millimeters.\u003c\/p\u003e\n\n\u003cp\u003eSeveral types of cIMT measurements exist under these guidelines:\u003c\/p\u003e\n\u003cul\u003e\n  \u003cli\u003eMean of cIMT values along the 10-millimeter segment of the common carotid artery\u003c\/li\u003e\n  \u003cli\u003eMaximum of cIMT values along the 10-millimeter segment\u003c\/li\u003e\n  \u003cli\u003eMean of mean measurements, where the average cIMT is computed for both left and right common carotid arteries, then averaged together\u003c\/li\u003e\n  \u003cli\u003eComposite measurements combining all three segments (CCA, bulb, and internal carotid artery) on both sides of the neck\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eDespite these detailed guidelines, the authors note that in routine clinical practice, the protocols are followed only to a limited extent and with great diversity. This inconsistency is a major problem that the review seeks to address.\u003c\/p\u003e\n\n\u003ch2 id=\"diseases\"\u003eDiseases That Affect Atherosclerosis\u003c\/h2\u003e\n\n\u003cp\u003eThe review identifies three major categories of diseases that impact the complexity of atherosclerosis and therefore influence how carotid measurements should be interpreted.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eConventional systemic diseases\u003c\/strong\u003e include diabetes, hypertension (high blood pressure), hyperlipidemia (high cholesterol), obesity, and autoimmune diseases such as rheumatoid arthritis and systemic lupus erythematosus. All of these conditions significantly increase a patient's risk of cardiovascular disease and stroke.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eLocal arterial vascular diseases\u003c\/strong\u003e affect specific blood vessels throughout the body. These include carotid artery disease, coronary artery disease (affecting the heart's blood vessels), renal artery disease (affecting the kidneys), aortic disease, peripheral artery disease (affecting the legs and arms), and brachial artery disease. Each of these conditions accelerates the atherosclerotic process.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eNeurological diseases\u003c\/strong\u003e that are accelerated by atherosclerosis include small vessel disease, large vessel disease, leukoaraiosis (changes in the brain's white matter), and Alzheimer's disease. The review also mentions thyroid disease and erectile dysfunction as conditions accelerated by the same atherosclerotic process that leads to more calcium, fibrin, fibrosis, and macrophages in artery walls.\u003c\/p\u003e\n\n\u003cp\u003eThis broad range of affected conditions underscores why carotid measurements matter beyond just heart attack and stroke prediction. The thickness of the carotid artery wall can serve as a window into the health of blood vessels throughout the entire body.\u003c\/p\u003e\n\n\u003ch2 id=\"risk-factors\"\u003eConventional Risk Factors and Their Link to Carotid Measurements\u003c\/h2\u003e\n\n\u003cp\u003eConventional risk factors (CRF) include age, height, weight, serum biomarkers, and lipid (fat) biomarkers. The review emphasizes that both conventional risk factors and carotid ultrasound image-based phenotypes (CUSIP) are strongly associated with each other. However, current guidelines place little emphasis on this important connection.\u003c\/p\u003e\n\n\u003cp\u003eThis gap in the guidelines is significant because nearly 90% of patients who die from cardiovascular disease or stroke have at least one conventional risk factor. Understanding how carotid measurements behave in conjunction with these risk factors is essential for accurate risk determination.\u003c\/p\u003e\n\n\u003cp\u003eAnnual progression of carotid wall thickness is influenced by several traditional risk factors:\u003c\/p\u003e\n\u003cul\u003e\n  \u003cli\u003eAge\u003c\/li\u003e\n  \u003cli\u003eGender\u003c\/li\u003e\n  \u003cli\u003eSmoking\u003c\/li\u003e\n  \u003cli\u003eBody Mass Index (BMI)\u003c\/li\u003e\n  \u003cli\u003eDiabetes\u003c\/li\u003e\n  \u003cli\u003eLow-density lipoprotein (LDL) cholesterol (the \"bad\" cholesterol)\u003c\/li\u003e\n  \u003cli\u003eHypertension\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eTracking the increase in carotid wall thickness over time is extremely important because it directly increases the risk of stroke. Furthermore, increases in cIMT are associated with abnormalities in other vascular beds, resulting in endothelial dysfunction (damage to the inner lining of blood vessels), renal (kidney) diseases, coronary heart disease, and erectile dysfunction.\u003c\/p\u003e\n\n\u003cp\u003eThe authors argue that recommendations for carotid measurements provide vital information about the morphology (shape and structure) and growth of atherosclerotic plaque. This information can support physicians in recommending treatment plans to prevent cardiovascular events. Additionally, understanding how carotid measurements relate to conventional risk factors enables researchers to predict long-term changes in cIMT and plaque, allowing for more reliable prevention planning.\u003c\/p\u003e\n\n\u003ch2 id=\"phenotypes\"\u003eCurrent and 10-Year Image-Based Phenotypes\u003c\/h2\u003e\n\n\u003cp\u003eThe current guidelines recommend measuring average cIMT within a 10-millimeter segment of the common carotid artery. However, in the past decade, researchers have identified five distinct types of carotid ultrasound image-based phenotypes (CUSIP) that capture plaque variations more completely.\u003c\/p\u003e\n\n\u003cp\u003eThese five phenotypes include four different types of full-length cIMT measurements plus total plaque area:\u003c\/p\u003e\n\u003col\u003e\n  \u003cli\u003e\n\u003cstrong\u003eAverage cIMT (cIMTave)\u003c\/strong\u003e — the average distance between the lumen-intima (LI) and media-adventitia (MA) interfaces measured along the entire length of the carotid scan\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eMaximum cIMT (cIMTmax)\u003c\/strong\u003e — the maximum thickness value found within the full-length scan\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eMinimum cIMT (cIMTmin)\u003c\/strong\u003e — the minimum thickness value found within the full-length scan\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eVariability in cIMT (cIMTV)\u003c\/strong\u003e — a measure of how much the wall thickness varies along the artery, which is associated with cerebrovascular events (events affecting blood flow to the brain)\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eTotal Plaque Area (TPA)\u003c\/strong\u003e — the total area of focal thickening regions above the one-millimeter average baseline distance between the LI and MA interfaces\u003c\/li\u003e\n\u003c\/ol\u003e\n\n\u003cp\u003e\"Full-length\" measurement means measuring cIMT all along the carotid ultrasound scan of the common carotid artery, from the edge of the bulb or flow dividers. Researchers collected 100 sample equidistant points (or vertices) throughout the length of the scan for measurement purposes.\u003c\/p\u003e\n\n\u003cp\u003eThis full-length approach represents a significant departure from the current guidelines, which limit measurement to a 10-millimeter plaque-free segment. The authors note that atherosclerotic plaques are uncommon in the common carotid artery and practically start at the carotid bifurcation — the point where the common carotid artery splits into the internal and external carotid arteries. This anatomical fact may explain why adding cIMT to traditional risk scores showed minimal improvement in risk prediction.\u003c\/p\u003e\n\n\u003cp\u003eKhanna et al. computed 10-year predictions for all five of these current CUSIP measurements. Additionally, a composite risk score (CRS) has been proposed by Godia et al. that combines the effect of all five current CUSIP measurements to provide a real-valued percentage risk for patients.\u003c\/p\u003e\n\n\u003cp\u003eThe review also highlights a newer phenotype called IMT variability (IMTV), which measures variation in carotid wall thickness in both directions — toward the lumen and toward the adventitia. This is important because atherosclerotic plaque can cause inflammation in both directions, forming balloon-like structures that protrude both inward and outward from the artery wall.\u003c\/p\u003e\n\n\u003ch2 id=\"tools\"\u003eMeasurement Tools and Risk Calculators\u003c\/h2\u003e\n\n\u003cp\u003eThe review examines various tools and techniques used for carotid plaque burden measurement and 10-year risk calculation. These include different distance measurement methods such as centerline, polyline, shortest distance, and Mahalanobis distances.\u003c\/p\u003e\n\n\u003cp\u003eSeveral risk calculators are currently used in clinical practice to predict cardiovascular risk:\u003c\/p\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003eFramingham Risk Score (FRS)\u003c\/strong\u003e — one of the oldest and most widely used calculators\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eUnited Kingdom Prospective Diabetes Study (UKPDS) risk engines\u003c\/strong\u003e — designed specifically for patients with diabetes\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eReynolds's Risk Score (RRS)\u003c\/strong\u003e — incorporates inflammatory markers\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eSystemic Coronary Risk Evaluation (SCORE)\u003c\/strong\u003e — used widely in Europe\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eNIPPON\u003c\/strong\u003e — a Japanese risk calculator\u003c\/li\u003e\n  \u003cli\u003e\u003cstrong\u003eWorld Health Organization (WHO) calculator\u003c\/strong\u003e\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eQRISK3\u003c\/strong\u003e — a British risk calculator\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eACC\/AHA ASCVD risk score\u003c\/strong\u003e — recommended by American cardiology societies\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eA pivotal moment in this field came in 2012 when Ruijter et al. published a meta-analysis with 11 years of follow-up data. This study measured cIMT within the 10-millimeter region of the far wall of the common carotid artery, free of plaque, and added it to the Framingham Risk Score. The results showed only minimal improvement in 10-year cardiovascular risk prediction, and the authors concluded the improvement was of little clinical importance.\u003c\/p\u003e\n\n\u003cp\u003eThis study had a strong impact on modifying guidelines. The American College of Cardiology (ACC) and American Heart Association (AHA) subsequently recommended against the routine use of cIMT for risk assessment. However, the authors of this review point out a critical flaw: atherosclerotic plaques are uncommon in the common carotid artery and typically start at the carotid bifurcation. By measuring only the plaque-free region of the common carotid artery, the Ruijter study may have missed the most important indicator of disease.\u003c\/p\u003e\n\n\u003cp\u003eIn contrast, studies using full-length measurements of all three arterial segments (common carotid artery, carotid bulb, and internal carotid artery) have demonstrated that plaque thickness has a stronger association with future cardiovascular events. The European Society of Cardiology and European Atherosclerosis Society have recently stated that the presence of carotid plaque on ultrasound unequivocally identifies individuals at high risk of myocardial infarction or stroke.\u003c\/p\u003e\n\n\u003ch2 id=\"technology\"\u003eThe Role of Machine Learning and Deep Learning\u003c\/h2\u003e\n\n\u003cp\u003eThe review discusses how advances in computer technology, particularly machine learning (ML) and deep learning (DL), are transforming cardiovascular risk assessment. These artificial intelligence approaches can analyze carotid ultrasound images automatically, potentially reducing human error and improving consistency.\u003c\/p\u003e\n\n\u003cp\u003eAutomated tools like AtheroEdge™ 2.0 can process carotid ultrasound images and measure cIMT along the full length of the artery. Figures in the original article demonstrate how these tools identify the lumen-intima and media-adventitia interfaces in the common carotid artery, carotid bulb, and internal carotid artery on both sides of the neck.\u003c\/p\u003e\n\n\u003cp\u003eThe authors suggest that machine learning and deep learning methods may play a significant future role in cardiovascular disease and stroke risk assessment. These technologies can integrate image-based phenotypes with conventional risk factors to improve prediction accuracy.\u003c\/p\u003e\n\n\u003cp\u003eHowever, the review notes that all interacting factors — including disease types, conventional risk factors, measurement tools, and risk calculators — are affected by the evolution of technology. This creates both opportunities and challenges for standardizing measurement guidelines.\u003c\/p\u003e\n\n\u003ch2 id=\"implications\"\u003eClinical Implications for Patients\u003c\/h2\u003e\n\n\u003cp\u003eFor patients, this review has several important implications. First, if you have had a carotid ultrasound that measured only the 10-millimeter plaque-free segment of your common carotid artery, your doctor may not have received the most accurate picture of your cardiovascular risk. Full-length measurements that include the carotid bulb and internal carotid artery may provide better risk prediction.\u003c\/p\u003e\n\n\u003cp\u003eSecond, the presence of carotid plaque on ultrasound is now recognized as a strong indicator of high risk for heart attack and stroke. The European Society of Cardiology and European Atherosclerosis Society have stated that carotid plaque on ultrasound unequivocally identifies individuals at high risk. This means that if plaque is found, aggressive risk factor management is warranted.\u003c\/p\u003e\n\n\u003cp\u003eThird, the combination of conventional risk factors (age, smoking, blood pressure, cholesterol, diabetes, and BMI) with carotid ultrasound measurements provides a more complete picture of cardiovascular health than either approach alone. Patients should expect their doctors to consider both when assessing risk.\u003c\/p\u003e\n\n\u003cp\u003eFourth, the review suggests that variability in carotid wall thickness (cIMTV) is associated with cerebrovascular events. This means that even if your average cIMT is normal, significant variation in wall thickness along the artery could indicate increased risk.\u003c\/p\u003e\n\n\u003cp\u003eFinally, the development of automated tools and artificial intelligence approaches may lead to more consistent and accurate measurements in the future. This could reduce the variability that has plagued carotid ultrasound measurements and improve risk prediction for all patients.\u003c\/p\u003e\n\n\u003ch2 id=\"limitations\"\u003eStudy Limitations\u003c\/h2\u003e\n\n\u003cp\u003eThis review has several limitations that should be acknowledged. First, it focuses exclusively on 2D carotid longitudinal scans and does not address 3D imaging techniques, which represent a separate and broader topic in cardiovascular imaging.\u003c\/p\u003e\n\n\u003cp\u003eSecond, the review is based on published literature, which may be subject to publication bias — studies with positive findings are more likely to be published than those with negative results.\u003c\/p\u003e\n\n\u003cp\u003eThird, the authors note that the 2012 Ruijter meta-analysis, which strongly influenced current guidelines against routine cIMT use, measured cIMT only in the 10-millimeter plaque-free region of the common carotid artery. This may have underestimated the value of cIMT measurement, as atherosclerotic plaques are uncommon in this region and typically begin at the carotid bifurcation.\u003c\/p\u003e\n\n\u003cp\u003eFourth, while the review identifies multiple factors that influence measurement guidelines, it does not provide a new set of guidelines. Instead, it calls for revisiting the current guidelines and highlights areas where improvements are needed.\u003c\/p\u003e\n\n\u003cp\u003eFinally, the review acknowledges that the use of carotid ultrasound phenotypes for routine cardiovascular risk assessment remains a debatable topic due to variations in measurement protocols, types of measurement tools, different ways of computing 10-year risk, specific carotid segments analyzed, scientific validation protocols, and the type of study utilized.\u003c\/p\u003e\n\n\u003ch2 id=\"recommendations\"\u003eRecommendations for Patients and Healthcare Providers\u003c\/h2\u003e\n\n\u003cp\u003eBased on this review, patients and healthcare providers should consider the following recommendations:\u003c\/p\u003e\n\n\u003col\u003e\n  \u003cli\u003e\n\u003cstrong\u003eAsk about full-length measurements:\u003c\/strong\u003e If you undergo carotid ultrasound, ask whether the measurements include the carotid bulb and internal carotid artery, not just the common carotid artery. Full-length measurements may provide more accurate risk prediction.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eKnow your numbers:\u003c\/strong\u003e Understanding your cIMT measurement, plaque presence, and conventional risk factors (blood pressure, cholesterol, blood sugar, BMI) gives you a complete picture of your cardiovascular health.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eDon't ignore plaque:\u003c\/strong\u003e The presence of carotid plaque is a strong indicator of high cardiovascular risk. If plaque is found, work with your doctor to aggressively manage risk factors.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eConsider all risk factors together:\u003c\/strong\u003e Carotid measurements should be interpreted in the context of your age, gender, smoking status, BMI, diabetes status, LDL cholesterol, and blood pressure. No single measurement tells the whole story.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eExpect technology to improve:\u003c\/strong\u003e Automated measurement tools and artificial intelligence approaches are being developed to improve consistency and accuracy. Ask your healthcare provider if they use automated or semi-automated measurement tools.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eUnderstand the limitations:\u003c\/strong\u003e Current guidelines may underestimate risk by measuring only a small segment of the artery. If your risk seems unclear, discuss additional imaging or risk assessment approaches with your doctor.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eFocus on prevention:\u003c\/strong\u003e Regardless of your carotid measurements, controlling conventional risk factors through lifestyle changes and medication (if prescribed) remains the most effective way to reduce your risk of heart attack and stroke.\u003c\/li\u003e\n\u003c\/ol\u003e\n\n\u003cp\u003eThe authors conclude that both machine learning and non-machine learning strategies will flourish for current and 10-year cardiovascular disease and stroke risk prediction, as long as they integrate image-based phenotypes with conventional risk factors. This integrated approach represents the future of cardiovascular risk assessment.\u003c\/p\u003e\n\n\u003c!-- ddn:faq:start --\u003e\n\u003ch2 id=\"ddn-faq\"\u003eFrequently Asked Questions\u003c\/h2\u003e\n\u003ch3\u003eWhat is carotid intima-media thickness (cIMT) and why is it measured?\u003c\/h3\u003e\n\u003cp\u003ecIMT is the thickness of the inner two layers of the carotid artery wall, measured by ultrasound. It serves as an early warning sign for cardiovascular problems, helping doctors assess risk for heart attack and stroke. However, current guidelines may not capture the full picture, as they often measure only a small segment.\u003c\/p\u003e\n\u003ch3\u003eWhy might my carotid ultrasound measurement be inaccurate?\u003c\/h3\u003e\n\u003cp\u003eCurrent guidelines recommend measuring a 10-millimeter plaque-free segment of the common carotid artery. But plaques typically start at the carotid bifurcation, so this method may miss important disease. Full-length measurements including the bulb and internal carotid artery may provide better risk prediction.\u003c\/p\u003e\n\u003ch3\u003eWhat does the presence of carotid plaque mean for my health?\u003c\/h3\u003e\n\u003cp\u003eThe presence of carotid plaque on ultrasound is a strong indicator of high risk for heart attack and stroke. The European Society of Cardiology and European Atherosclerosis Society state that carotid plaque unequivocally identifies individuals at high risk, so aggressive risk factor management is warranted.\u003c\/p\u003e\n\u003ch3\u003eHow do conventional risk factors like blood pressure and cholesterol relate to carotid measurements?\u003c\/h3\u003e\n\u003cp\u003eConventional risk factors (age, smoking, blood pressure, cholesterol, diabetes, BMI) are strongly associated with carotid ultrasound measurements. Nearly 90% of patients who die from cardiovascular disease have at least one risk factor. Combining both risk factors and carotid measurements gives a more complete picture of cardiovascular health.\u003c\/p\u003e\n\u003ch3\u003eWhat is the difference between measuring a 10-mm segment and full-length carotid measurements?\u003c\/h3\u003e\n\u003cp\u003eThe 10-mm segment is a small plaque-free area in the common carotid artery, while full-length measurements cover the entire scan, including the bulb and internal carotid artery. Full-length measurements capture plaque variations better and may improve risk prediction, as plaques are uncommon in the common carotid artery.\u003c\/p\u003e\n\u003ch3\u003eCan artificial intelligence improve carotid ultrasound measurements?\u003c\/h3\u003e\n\u003cp\u003eYes, machine learning and deep learning tools can automatically analyze carotid ultrasound images, potentially reducing human error and improving consistency. Automated tools like AtheroEdge™ 2.0 can measure cIMT along the full length of the artery, which may lead to more accurate risk assessment.\u003c\/p\u003e\n\u003ch3\u003eWhat should I ask my doctor about my carotid ultrasound results?\u003c\/h3\u003e\n\u003cp\u003eAsk whether the measurements included the carotid bulb and internal carotid artery, not just the common carotid artery. Also ask about your cIMT number, plaque presence, and how these combine with your blood pressure, cholesterol, and other risk factors. Discuss if automated tools were used for measurement.\u003c\/p\u003e\n\u003c!-- ddn:faq:end --\u003e\n\n\u003ch2 id=\"source\"\u003eSource Information\u003c\/h2\u003e\n\n\u003cp\u003e\u003cstrong\u003eOriginal Article Title:\u003c\/strong\u003e Many carotid intima-media thickness and plaque- should the current measurement guidelines be revisited\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDOI:\u003c\/strong\u003e \u003ca href=\"https:\/\/doi.org\/10.23736\/S0392-9590.19.04267-6\" target=\"_blank\" rel=\"noopener\"\u003e10.23736\/S0392-9590.19.04267-6\u003c\/a\u003e\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eAuthors:\u003c\/strong\u003e Luca Saba, Ankush Jamthikar, Deep Gupta, Narendra N. Khanna, Klaudija Viskovic, Harman S. Suri, Ajay Gupta, Sophie Mavrogeni, Monika Turk, John R. Laird, Gyan Pareek, Martin Miner, Petros P. Sfikakis, Athanasios Protogerou, George D. Kitas, Vijay Viswanathan, Andrew Nicolaides, Deepak L. Bhatt, and Jasjit S. Suri\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eJournal:\u003c\/strong\u003e International Angiology, December 2019, Volume 38, No. 6, Pages 451-465\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eDOI:\u003c\/strong\u003e 10.23736\/S0392-9590.19.04267-6\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003ePublisher:\u003c\/strong\u003e Edizioni Minerva Medica\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eKey Words:\u003c\/strong\u003e Ultrasonography; Carotid arteries; Cardiovascular diseases; Stroke\u003c\/p\u003e\n\n\u003cp\u003e\u003cem\u003eNote: This patient-friendly article is based on peer-reviewed research. It is intended for educational purposes and should not replace professional medical advice. Always consult your healthcare provider about your individual cardiovascular risk and treatment options.\u003c\/em\u003e\u003c\/p\u003e","brand":"DiagnosticDetectives.Com","offers":[{"title":"Default Title","offer_id":47306621354140,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":true}],"url":"https:\/\/diagnosticdetectives.ae\/products\/carotid-artery-measurements-and-heart-attack-stroke-risk-why-current-guidelines-may-need-a-second-look","provider":"DiagnosticDetectives.Com","version":"1.0","type":"link"}