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Thoracic outlet syndrome (TOS) refers to a constellation of symptoms resulting from neurovascular compression at the thoracic outlet, causing some combination of pain in the neck and upper extremity, weakness, sensory loss, paresthesia, swelling, and discoloration. Classification of TOS would depend on the anatomical structure that is compressed: venous TOS (VTOS)—compression of Subclavian vein; arterial TOS (ATOS)—compression of subclavian artery; and neurogenic TOS (NTOS)—compression of brachial plexus. Postural Orthostatic Tachycardia Syndrome (POTS) is characterized by orthostatic tachycardia that develops in the absence of orthostatic hypotension, with a symptom duration of >6 months. POTS is now known to be commonly associated with Ehlers-Danlos Syndrome (EDS), thereby raising speculation about the extent of prevalence of TOS symptoms in EDS patients. The aim of the study was to quantify the influx of patients with POTS, reporting symptoms of arm fatigue with or without numbness and tingling. The symptoms were quantified initially by conducting postural maneuvers that would reproduce the symptoms, to rule-in the possibility of TOS and further confirmed by using ultrasonography in upper limbs as the imaging modality of choice to evaluate arterial and/or venous compression. This study also looks at the presence of a concurrent diagnosis of EDS among the symptomatic patients who test positive for TOS.

Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved. BACKGROUND: Atherosclerosis evaluation by coronary computed tomography angiography (CCTA) is promising for coronary artery disease (CAD) risk stratification, but time consuming and requires high expertise. Artificial Intelligence (AI) applied to CCTA for comprehensive CAD assessment may overcome these limitations. We hypothesized AI aided analysis allows for rapid, accurate evaluation of vessel morphology and stenosis. METHODS: This was a multi-site study of 232 patients undergoing CCTA. Studies were analyzed by FDA-cleared software service that performs AI-driven coronary artery segmentation and labeling, lumen and vessel wall determination, plaque quantification and characterization with comparison to ground truth of consensus by three L3 readers. CCTAs were analyzed for: % maximal diameter stenosis, plaque volume and composition, presence of high-risk plaque and Coronary Artery Disease Reporting & Data System (CAD-RADS) category. RESULTS: AI performance was excellent for accuracy, sensitivity, specificity, positive predictive value and negative predictive value as follows: >70% stenosis: 99.7%, 90.9%, 99.8%, 93.3%, 99.9%, respectively; >50% stenosis: 94.8%, 80.0%, 97.0, 80.0%, 97.0%, respectively. Bland-Altman plots depict agreement between expert reader and AI determined maximal diameter stenosis for per-vessel (mean difference -0.8%; 95% CI 13.8% to -15.3%) and per-patient (mean difference -2.3%; 95% CI 15.8% to -20.4%). L3 and AI agreed within one CAD-RADS category in 228/232 (98.3%) exams per-patient and 923/924 (99.9%) vessels on a per-vessel basis. There was a wide range of atherosclerosis in the coronary artery territories assessed by AI when stratified by CAD-RADS distribution. CONCLUSIONS: AI-aided approach to CCTA interpretation determines coronary stenosis and CAD-RADS category in close agreement with consensus of L3 expert readers. There was a wide range of atherosclerosis identified through AI. proof published

In the United States, non-obstructive coronary disease has been on the rise, and each year, nearly one million adults suffer myocardial infarction, 70% of which are non-ST-segment elevation myocardial infarction (NSTEMI). In addition, approximately 15% of patients suffering NSTEMI will have subsequent readmission for a recurrent acute coronary syndrome (ACS). While invasive angiography remains the standard of care in the diagnostic and therapeutic approach to these patients, these methods have limitations that include procedural complications, uncertain specificity in diagnosis of the culprit lesion in patients with multi-vessel coronary artery disease (CAD), and challenges in following coronary disease over time. The role of coronary computed tomography angiography (CCTA) for evaluating patients with both stable and acute chest pain has seen a paramount upshift in the last decade. This paper reviews the established role of CCTA for the rapid exclusion of obstructive plaque in troponin negative acute chest pain, while exploring opportunities to address challenges in the current approach to evaluating NSTEMI.

Coronary artery disease (CAD) events are declining in older adults. However, these advances have not extended to younger adults for whom acute coronary syndrome rates are rising. 39-year-old athlete with no medical or family cardiac history presented with sudden cardiac death requiring automated