Assesment of Stroke Risk Based on Morphological Ultrasound Image Analysis With Conformal Prediction

Non-invasive ultrasound imaging of carotid plaques allows for the development of plaque image analysis in order to assess the risk of stroke. In our work, we provide reliable confidence measures for the assessment of stroke risk, using the Conformal Prediction framework. This framework provides a way for assigning valid confidence measures to predictions of classical machine learning algorithms. We conduct experiments on a dataset which contains morphological features derived from ultrasound images of atherosclerotic carotid plaques, and we evaluate the results of four different Conformal Predictors (CPs). The four CPs are based on Artificial Neural Networks (ANNs), Support Vector Machines (SVMs), Naive Bayes classification (NBC), and k-Nearest Neighbours (k-NN). The results given by all CPs demonstrate the reliability and usefulness of the obtained confidence measures on the problem of stroke risk assessment

A Powerful Paradigm for Cardiovascular Risk Stratification Using Multiclass, Multi-Label, and Ensemble-Based Machine Learning Paradigms: A Narrative Review

Background and Motivation: Cardiovascular disease (CVD) causes the highest mortality globally. With escalating healthcare costs, early non-invasive CVD risk assessment is vital. Conventional methods have shown poor performance compared to more recent and fast-evolving Artificial Intelligence (AI) methods. The proposed study reviews the three most recent paradigms for CVD risk assessment, namely multiclass, multi-label, and ensemble-based methods in (i) office-based and (ii) stress-test laboratories. Methods: A total of 265 CVD-based studies were selected using the preferred reporting items for systematic reviews and meta-analyses (PRISMA) model. Due to its popularity and recent development, the study analyzed the above three paradigms using machine learning (ML) frameworks. We review comprehensively these three methods using attributes, such as architecture, applications, pro-and-cons, scientific validation, clinical evaluation, and AI risk-of-bias (RoB) in the CVD framework. These ML techniques were then extended under mobile and cloud-based infrastructure. Findings: Most popular biomarkers used were office-based, laboratory-based, image-based phenotypes, and medication usage. Surrogate carotid scanning for coronary artery risk prediction had shown promising results. Ground truth (GT) selection for AI-based training along with scientific and clinical validation is very important for CVD stratification to avoid RoB. It was observed that the most popular classification paradigm is multiclass followed by the ensemble, and multi-label. The use of deep learning techniques in CVD risk stratification is in a very early stage of development. Mobile and cloud-based AI technologies are more likely to be the future. Conclusions: AI-based methods for CVD risk assessment are most promising and successful. Choice of GT is most vital in AI-based models to prevent the RoB. The amalgamation of image-based strategies with conventional risk factors provides the highest stability when using the three CVD paradigms in non-cloud and cloud-based frameworks

The determinants of intra-plaque neovascularisation: a study by contrast-enhanced carotid ultrasonography

Atherosclerosis is a chronic inflammatory disorder, initiated by arterial wall injury, mediated by well-recognised cardiovascular risk factors and culminating in formation of plaques, the patho-biological substrate that precedes events such as stroke and myocardial infarction. Intraplaque neovascularisation (IPN) is one of several defence mechanisms in response to atherosclerosis. With development of an atherosclerotic plaque within the intima, the distance between the deeper intimal layers and the luminal surface increases, producing hypoxia within the arterial wall. This stimulates release of pro-angiogenic factors that induces neoangiogenesis in an attempt to normalise oxygen tension. However, these neo-vessels are fragile, immature and leaky and thought to be the primary cause of intraplaque haemorrhage, now appreciated to be a key risk factor for plaque rupture. Therefore, the presence of IPN is now widely recognised as a precursor of the “vulnerable plaque”. Contrast-enhanced ultrasound (CEUS) is a non-invasive method of imaging carotid plaques and, as contrast bubbles travel wherever erythrocytes travel, they permit visualization of IPN. Prior research studies have demonstrated that CEUS can detect IPN with a high degree of accuracy (on comparison with histological plaque specimens) and have shown a relationship between extent of plaque neovessels and plaque echogenicity and between plaque neovascularization and prior cardiovascular events. However, CEUS is a relatively recently described imaging technique and there were a number of unanswered questions in this field, some of which formed the basis for study in this research Thesis. In this Thesis, research studies were conducted on human subjects using CEUS imaging to identify IPN and its determinants. The incidence and determinants of IPN in healthy asymptomatic individuals was unknown and was studied in subjects from the London Life Sciences Population (LOLIPOP) study, a large study exploring mechanisms for differences in cardiovascular disease (CVD) between South Asian and European White individuals. The study found that approximately half of all plaques contain IPN. The only variable associated with IPN presence in an adjusted analysis was Asian ethnicity. This finding potentially has significant implications as it may help explain, in part, the greater CVD burden observed in Asian populations. A study comparing visualization of the carotid tree during B-mode and CEUS imaging was also conducted. Both IMT visualization and plaque detection were significantly improved by CEUS, implying that CEUS is superior to B-mode imaging for detection of sub-clinical atherosclerosis. Radiotherapy (RT) damages arterial walls and promotes atherosclerosis. The carotid arteries frequently receive significant incidental doses of radiation during RT treatment of head and neck cancers. The effect of RT on plaque composition – specifically IPN – had not been studied and thus a collaborative cardio-oncological study was conducted to assess the effects of RT upon IPN in cancer survivors who had previously received RT. A significant association between RT and IPN was found which may provide insights into the mechanisms underlying the increased stroke risk amongst cancer survivors treated by RT. Finally, a collaboration with biophysicists was formed to develop and validate a novel algorithm for quantitative analysis of IPN. Patients clinically scheduled to undergo carotid endarterectomy were recruited and underwent CEUS imaging prior to surgery. This study did not achieve its principal aims due to challenges with patient recruitment, challenges in image quality and with the quantification software also. Future directions of study in this promising field have been addressed in the thesis summary.Open Acces

Ultrasound Imaging

This book provides an overview of ultrafast ultrasound imaging, 3D high-quality ultrasonic imaging, correction of phase aberrations in medical ultrasound images, etc. Several interesting medical and clinical applications areas are also discussed in the book, like the use of three dimensional ultrasound imaging in evaluation of Asherman's syndrome, the role of 3D ultrasound in assessment of endometrial receptivity and follicular vascularity to predict the quality oocyte, ultrasound imaging in vascular diseases and the fetal palate, clinical application of ultrasound molecular imaging, Doppler abdominal ultrasound in small animals and so on

Advocating Intraluminal Radiation Therapy in Cerebral Arteriovenous Malformation Treatment

In 2014, ARUBA (a randomized trial on cerebral Arteriovenous Malformation – AVM) found patients treated using prevalent interventional strategies are three times more likely to suffer a stroke/die compared with those treated conservatively (blood pressure reduction). Subsequent controversy led the European societies dealing with AVM to organize a consensus conference. Among the statements made was: “There may be indications for treating patients with higher Spetzler-Martin (SM) grades, based on a case-to-case consensus decision of the experienced team”. Thus, a clear accord emerges. There is a lacuna/weakness of interventional modalities when addressing high SM grade AVMs. This lack of a clear treatment choice originated our review. We attempt to identify the advantages and challenges of each present treatment/evaluation modality and highlight core requirements for future strategies. We conclude that existing modalities provide substantial recent improvements, yet the core challenge persists. Finally, we advocate testing a novel modality – intraluminal radiotherapy (active implants) by exploiting the “candy wrapper” or edge effect. If proven effective, this approach could offer gradual vessel occlusion with minimal abrupt hemodynamic changes known to induce hemorrhage, the lowest recurring session number (reduced costs), minimally invasive attributes and very low radiation (dose/dose rate) kinetics minimizing potential Adverse Radiation Effects (AREs)