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Cardiovascular Engineering and... Dec 2023Peripheral artery disease causes severe morbidity, especially in diabetics and the elderly. There is a need for accurate noninvasive detection of peripheral arterial...
PURPOSE
Peripheral artery disease causes severe morbidity, especially in diabetics and the elderly. There is a need for accurate noninvasive detection of peripheral arterial stenosis. The study has tested the hypothesis that arterial stenosis and the associated adaptation of the downstream circulation yield characteristic changes in the leg perfusion dynamics that enable early diagnosis, utilizing impedance plethysmography.
METHODS
The arterial perfusion dynamic was derived from impedance plethysmography (IPG). Two degrees of arterial stenosis were emulated by inflating a blood-pressure cuff around the thigh to 45 and 90 mmHg, in healthy volunteers (n = 30). IPG signals were acquired continuously throughout the experiment. Ankle and brachial blood pressures were measured at the beginning of each experiment and at the end of each emulated stenosis phase.
RESULTS
Thigh compressions did not affect the pulse-transit time, but prolonged the time to the peak perfusion wave. Segmentation of the perfusion upstroke into two phases, at the time point of maximum acceleration (MAT), revealed that arterial compression prolonged only the initial slow phase duration (SPd). The MAT and SPd were proportional to the emulated stenosis severity and detected the arterial stenosis with high sensitivity (> 93%) and specificity (100%). The SPd increased from 46.4 ± 21.2 ms at baseline to 75.4 ± 38.5 ms and 145 ± 39 ms under 45 mmHg and 90 mmHg compressions (p < 0.001), without affecting the pulse-transit time.
CONCLUSIONS
The novel method and indices can identify and grade the emulated arterial stenosis with high accuracy and may assist in differentiating between focal arterial stenosis and widespread arterial hardening.
Topics: Humans; Aged; Constriction, Pathologic; Peripheral Arterial Disease; Ankle; Perfusion
PubMed: 37985616
DOI: 10.1007/s13239-023-00686-y -
Journal of Cardiovascular Translational... Aug 2023The visual inspection of coronary artery stenosis is known to be significantly affected by variation, due to the presence of other tissues, camera movements, and uneven...
The visual inspection of coronary artery stenosis is known to be significantly affected by variation, due to the presence of other tissues, camera movements, and uneven illumination. More accurate and intelligent coronary angiography diagnostic models are necessary for improving the above problems. In this study, 2980 medical images from 949 patients are collected and a novel deep learning-based coronary angiography (DLCAG) diagnose system is proposed. Firstly, we design a module of coronary classification. Then, we introduce RetinaNet to balance positive and negative samples and improve the recognition accuracy. Additionally, DLCAG adopts instance segmentation to segment the stenosis of vessels and depict the degree of the stenosis vessels. Our DLCAG is available at http://101.132.120.184:8077/ . When doctors use our system, all they need to do is login to the system, upload the coronary angiography videos. Then, a diagnose report is automatically generated.
Topics: Humans; Coronary Angiography; Deep Learning; Constriction, Pathologic; Coronary Stenosis; Heart; Coronary Vessels; Computed Tomography Angiography
PubMed: 36928587
DOI: 10.1007/s12265-023-10368-8 -
Expert Review of Cardiovascular Therapy 2023Despite advances in stent technology for percutaneous coronary intervention (PCI) in the treatment of coronary disease, these procedures can be complicated by stent... (Review)
Review
INTRODUCTION
Despite advances in stent technology for percutaneous coronary intervention (PCI) in the treatment of coronary disease, these procedures can be complicated by stent failure manifested as intracoronary stent restenosis (ISR). Even with advances in stent technology and medical therapy, this complication is reported to affect around 10% of all percutaneous coronary intervention (PCI) procedures. Depending on stent type (drug-eluting versus bare metal), ISR has subtle differences in mechanism and timing and offers different challenges in diagnosing etiology and subsequent treatment options.
AREAS COVERED
This review will be visiting the definition, pathophysiology, and risk factors of ISR.
EXPERT OPINION
The evidence behind management options has been illustrated with the aid of real life clinical cases and summarized in a proposed management algorithm.
Topics: Humans; Percutaneous Coronary Intervention; Drug-Eluting Stents; Treatment Outcome; Prosthesis Design; Coronary Restenosis; Stents; Risk Factors; Constriction, Pathologic; Coronary Angiography
PubMed: 37269322
DOI: 10.1080/14779072.2023.2221852 -
International Journal of Molecular... Jan 2024The primary objective of this paper is to delineate and elucidate the contemporary advancements, developments, and prevailing trajectories concerning intrastent... (Review)
Review
The primary objective of this paper is to delineate and elucidate the contemporary advancements, developments, and prevailing trajectories concerning intrastent restenosis (ISR). We aim to provide a thorough overview of the most recent developments in this area, covering various aspects such as pathophysiological insights, therapeutic approaches, and new strategies for tackling the complex challenges of ISR in modern clinical settings. The authors have undertaken a study to address a relatively new medical challenge, recognizing its significant impact on the morbidity and mortality of individuals with cardiovascular diseases. This effort is driven by the need to fully understand, analyze, and possibly improve the outcomes of this emerging medical issue within the cardiovascular disease field. We acknowledge its considerable clinical implications and the necessity for innovative methods to mitigate its effects on patient outcomes. Therefore, our emphasis was directed towards elucidating the principal facets of the condition's prevalence, expounding upon the foundational mechanisms underscoring conspicuous restenosis, and delineating the risk factors relevant in shaping the contemporary landscape of diagnostic and therapeutic modalities. This thorough examination aims to provide a comprehensive understanding of the various dimensions of the condition, including epidemiological data, pathophysiological complexities, and clinical considerations critical for evaluating and enhancing current diagnostic and treatment approaches.
Topics: Humans; Drug-Eluting Stents; Stents; Coronary Angiography; Coronary Restenosis; Prosthesis Design; Treatment Outcome; Constriction, Pathologic; Risk Factors; Cardiovascular Diseases
PubMed: 38338993
DOI: 10.3390/ijms25031715 -
La Radiologia Medica Sep 2023To externally validate the performance of automated stenosis detection on head and neck CT angiography (CTA) and investigate the impact factors using an independent...
PURPOSE
To externally validate the performance of automated stenosis detection on head and neck CT angiography (CTA) and investigate the impact factors using an independent bi-center dataset with digital subtraction angiography (DSA) as the ground truth.
MATERIAL AND METHODS
Patients who underwent head and neck CTA and DSA between January 2019 and December 2021 were retrospectively included. The degree of stenosis was automatically evaluated using CerebralDoc based on CTA. The performance of CerebralDoc across levels (per-patient, per-region, per-vessel, and per-segment) and thresholds (≥ 50%, ≥ 70%, and = 100%) was evaluated. Logistic regression was performed to identify independent factors associated with false negative results.
RESULTS
296 patients were analyzed. Specificity across levels and thresholds was high, exceeding 92%. The area under the curve ranged from poor (0.615, 95% CI: 0.544, 0.686; at the region-based analysis for stenosis ≥ 70%) to excellent (0.945, 95% CI: 0.905, 0.985; at the patient-based analysis for stenosis ≥ 50%). Sensitivity ranged from 0.714 (95% CI: 0.675, 0.750) at the segment-based analysis for stenosis ≥ 70% to 0.895 (95% CI: 0.849, 0.919) at the patient-based analysis for stenosis ≥ 50%. The multiple logistic regression analysis revealed that false negative results were primarily more likely to specific stenosis locations (particularly the M2 segment and skull base segment of the internal carotid artery) and occlusion.
CONCLUSIONS
CerebralDoc has the potential to automated stenosis detection on head and neck CTA, but further efforts are needed to optimize its performance.
Topics: Humans; Computed Tomography Angiography; Constriction, Pathologic; Retrospective Studies; Deep Learning; Angiography, Digital Subtraction; Sensitivity and Specificity; Carotid Stenosis
PubMed: 37464200
DOI: 10.1007/s11547-023-01683-w -
Stroke Feb 2024Intracranial atherosclerotic disease and resultant intracranial stenosis is a global leading cause of stroke, and poses an ongoing treatment challenge. Among patients... (Review)
Review
Intracranial atherosclerotic disease and resultant intracranial stenosis is a global leading cause of stroke, and poses an ongoing treatment challenge. Among patients with intracranial stenosis, those with hemodynamic compromise are at high risk for recurrent stroke despite medical therapy and risk factor modification. Revascularization of the hypoperfused territory is the most plausible treatment strategy for these high-risk patients, yet surgical and endovascular therapies have not yet shown to be sufficiently safe and effective in randomized controlled trials. Advances in diagnostic and therapeutic technologies have led to a resurgence of interest in surgical and endovascular treatment strategies, with a growing body of evidence to support their further evaluation in the treatment of select patient populations. This review outlines the current and emerging endovascular and surgical treatments and highlights promising future management strategies.
Topics: Humans; Constriction, Pathologic; Stroke; Cerebral Infarction; Risk Factors
PubMed: 38252761
DOI: 10.1161/STROKEAHA.123.043634 -
JACC. Cardiovascular Interventions Aug 2023Computed tomography angiography (CTA) and invasive coronary angiography (ICA) are routinely performed before transcatheter aortic valve replacement (TAVR) to assess...
BACKGROUND
Computed tomography angiography (CTA) and invasive coronary angiography (ICA) are routinely performed before transcatheter aortic valve replacement (TAVR) to assess aortic root anatomy and screen for coronary artery disease (CAD), respectively.
OBJECTIVES
This study explored the efficacy of CTA as a screening tool for significant proximal CAD before TAVR.
METHODS
With proper ethical oversight, patients undergoing TAVR at Cleveland Clinic with a preprocedural CTA and invasive coronary angiography (ICA), and no prior percutaneous intervention, were identified from 2015 to 2021. Blinded to ICA results, the authors reviewed the left main, proximal left anterior descending coronary artery, proximal left circumflex coronary artery, and proximal right coronary artery by CTA coronary reconstruction to assess for nonsignificant stenosis (0% to 49%), moderate stenosis (50% to 69%), and severe stenosis (≥70%). Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and Cohen Kappa statistic were analyzed.
RESULTS
2,217 patients (53.4% male, age 79.2 ± 8.5 years) met inclusion criteria. CTA evaluation revealed a sensitivity of 90%, specificity of 92%, PPV of 74%, and NPV of 97% for detecting ≥50% stenosis. Using a ≥70% stenosis cutoff, evaluation revealed a sensitivity of 91%, specificity of 97%, PPV of 83%, and NPV of 99%. Assessment of bypass graft patency revealed a sensitivity of 86%, specificity of 97%, PPV of 84%, and NPV of 98%. Cohen Kappa analysis indicated substantial to near perfect agreement between pre-TAVR CTA and ICA.
CONCLUSIONS
Pre-TAVR CTA has a high NPV for high-grade proximal stenosis of each coronary artery. As a result, CTA can be used as a screening tool to rule out significant proximal CAD in patients undergoing TAVR.
Topics: Humans; Male; Aged; Aged, 80 and over; Female; Computed Tomography Angiography; Transcatheter Aortic Valve Replacement; Coronary Artery Disease; Constriction, Pathologic; Treatment Outcome
PubMed: 37648347
DOI: 10.1016/j.jcin.2023.05.030 -
Stroke Feb 2024Intracranial atherosclerotic disease (ICAD) is one of the most common causes of stroke worldwide. Among people with stroke, those of East Asia descent and non-White... (Review)
Review
Intracranial atherosclerotic disease (ICAD) is one of the most common causes of stroke worldwide. Among people with stroke, those of East Asia descent and non-White populations in the United States have a higher burden of ICAD-related stroke compared with Whites of European descent. Disparities in the prevalence of asymptomatic ICAD are less marked than with symptomatic ICAD. In addition to stroke, ICAD increases the risk of dementia and cognitive decline, magnifying ICAD societal burden. The risk of stroke recurrence among patients with ICAD-related stroke is the highest among those with confirmed stroke and stenosis ≥70%. In fact, the 1-year recurrent stroke rate of >20% among those with stenosis >70% is one of the highest rates among common causes of stroke. The mechanisms by which ICAD causes stroke include plaque rupture with in situ thrombosis and occlusion or artery-to-artery embolization, hemodynamic injury, and branch occlusive disease. The risk of stroke recurrence varies by the presumed underlying mechanism of stroke, but whether techniques such as quantitative magnetic resonance angiography, computed tomographic angiography, magnetic resonance perfusion, or transcranial Doppler can help with risk stratification beyond the degree of stenosis is less clear. The diagnosis of ICAD is heavily reliant on lumen-based studies, such as computed tomographic angiography, magnetic resonance angiography, or digital subtraction angiography, but newer technologies, such as high-resolution vessel wall magnetic resonance imaging, can help distinguish ICAD from stenosing arteriopathies.
Topics: Humans; Constriction, Pathologic; Stroke; Tomography, X-Ray Computed; Cerebral Infarction; Angiography, Digital Subtraction
PubMed: 38252756
DOI: 10.1161/STROKEAHA.123.043630 -
Journal of Vascular Surgery Sep 2023Sex differences regarding the safety and efficacy of carotid revascularization in carotid artery stenosis have been addressed in several studies with conflicting... (Meta-Analysis)
Meta-Analysis Review
OBJECTIVE
Sex differences regarding the safety and efficacy of carotid revascularization in carotid artery stenosis have been addressed in several studies with conflicting results. Moreover, women are underrepresented in clinical trials, leading to limited conclusions regarding the safety and efficacy of acute stroke treatments.
METHODS
A systematic review and meta-analysis was performed by literature search including four databases from January 1985 to December 2021. Sex differences in the efficacy and safety of revascularization procedures, including carotid endarterectomy (CEA) and carotid artery stenting (CAS), for symptomatic and asymptomatic carotid artery stenoses were analyzed.
RESULTS
Regarding CEA in symptomatic carotid artery stenosis, the stroke risk in men (3.6%) and women (3.9%) based on 99,495 patients (30 studies) did not differ (P = .16). There was also no difference in the stroke risk by different time frames up to 10 years. Compared with men, women treated with CEA had a significantly higher stroke or death rate at 4 months (2 studies, 2565 patients; 7.2% vs 5.0%; odds ratio [OR], 1.49; 95% confidence interval [CI], 1.04-2.12; I = 0%; P = .03), and a significantly higher rate of restenosis (1 study, 615; 17.2% vs 6.7%; OR, 2.81; 95% CI, 1.66-4.75; P = .0001). For CAS in symptomatic artery stenosis, data showed a non-significant tendency toward higher peri-procedural stroke in women, whereas for asymptomatic carotid artery stenosis, data based on 332,344 patients showed that women (compared with men) after CEA had similar rates of stroke, stroke or death, and the composite outcome stroke/death/myocardial infarction. The rate of restenosis at 1 year was significantly higher in women compared with men (1 study, 372 patients; 10.8% vs 3.2%; OR, 3.71; 95% CI, 1.49-9.2; P = .005). Furthermore, CAS in asymptomatic patients was associated with low risk of a postprocedural stroke in both sexes, but a significantly higher risk of in-hospital myocardial infarction in women than men (8445 patients, 1.2% vs 0.6%; OR, 2.01; 95% CI, 1.23-3.28; I = 0%; P = .005).
CONCLUSIONS
A few sex-differences in short-term outcomes after carotid revascularization for symptomatic and asymptomatic carotid artery stenosis were found, although there were no significant differences in the overall stroke. This indicates a need for larger multicenter prospective studies to evaluate these sex-specific differences. More women, including those aged over 80 years, need to be enrolled in randomized controlled trials, to better understand if sex differences exist and to tailor carotid revascularization accordingly.
Topics: Humans; Female; Male; Aged, 80 and over; Carotid Stenosis; Sex Characteristics; Prospective Studies; Treatment Outcome; Stents; Endarterectomy, Carotid; Carotid Arteries; Stroke; Myocardial Infarction; Constriction, Pathologic; Risk Factors; Risk Assessment; Multicenter Studies as Topic
PubMed: 37055001
DOI: 10.1016/j.jvs.2023.03.502 -
Angiology May 2024The aim of this review is to introduce some applications of artificial intelligence (AI) algorithms for the detection and quantification of coronary stenosis using... (Review)
Review
The aim of this review is to introduce some applications of artificial intelligence (AI) algorithms for the detection and quantification of coronary stenosis using computed tomography angiography (CTA). The realization of automatic/semi-automatic stenosis detection and quantification includes the following steps: vessel central axis extraction, vessel segmentation, stenosis detection, and quantification. Many new AI techniques, such as machine learning and deep learning, have been widely used in medical image segmentation and stenosis detection. This review also summarizes the recent progress regarding coronary stenosis detection and quantification, and discusses the development trends in this field. Through evaluation and comparison, researchers can better understand the research frontier in related fields, compare the advantages and disadvantages of various methods, and better optimize the new technologies. Machine learning and deep learning will promote the process of automatic detection and quantification of coronary artery stenosis. However, the machine learning and the deep learning methods need a large amount of data, so they also face some challenges because of the lack of professional image annotations (manually add labels by experts).
Topics: Humans; Artificial Intelligence; Deep Learning; Constriction, Pathologic; Coronary Vessels; Coronary Angiography; Machine Learning; Coronary Stenosis; Algorithms
PubMed: 37399509
DOI: 10.1177/00033197231187063