The degree of carotid artery stenosis, calculated using catheter-based angiography and the North American Symptomatic Carotid Endarterectomy Trial (NASCET) method, has been shown to predict the stroke risk in several, large, randomized controlled trials. In the present era, patients have been increasingly evaluated using computed tomography (CT) angiography (CTA) before carotid artery revascularization, especially as the use of transcarotid artery revascularization has increased. Interpretation of CTA findings regarding the degree of carotid stenosis has not been standardized, with both NASCET methods and the area stenosis used. We performed a single-institution, blinded, retrospective analysis of CTA studies using both the NASCET method and the CT-derived area stenosis to assess the concordance and discordance between the two methods when evaluating ≥70% and ≥80% stenosis.
 
  The UMass Memorial Medical Center vascular laboratory database was queried for all carotid duplex ultrasound scans performed from 200 carotid revascularization.
 The area stenosis CTA calculations of carotid artery stenosis dramatically overestimated the degree of carotid stenosis compared with that calculated using the NASCET method. Given that stroke risk estimates have been determined from trials that used the NASCET method, the area stenosis method likely overestimates the risk of stroke. Therefore, area stenosis calculations could lead to unnecessary carotid revascularization procedures. This model highlights the need for standardized usage of the NASCET method when using CTA as the imaging modality to determine the threshold for carotid revascularization.
  Despite advancements, aortofemoral bypass (AFB) remains the most durable option for aortoiliac occlusive disease. Although runoff has been shown to be associated with AFB patency, the association of the Society for Vascular Surgery (SVS) thigh runoff scoring system with patency has not been assessed. The aim of the present study was to evaluate the association between the SVS runoff scoring system and limb-based primary patency after AFB.
 
  Institutional data for patients undergoing AFB with preoperative runoff imaging available from 2000 to 2017 were queried. Runoff scores were assigned according to the presence of occlusive disease in the superficial femoral artery and profunda femoris artery (minimum, 1; maximum, 10) as described by the 1997 SVS reporting standards for lower extremity ischemia. Limb-based patency was the primary endpoint. Kaplan-Meier analysis was used to compare the long-term limb-based patency and freedom from reintervention between limbs with runoff scores ≥6 and those withrunoff scord for worse limb outcomes and a greater incidence of operative complications. The SVS score can be determined from preoperative axial imaging studies and serve as a guide in decision-making and operative planning.
 The SVS femoral runoff score is an important factor associated with long-term AFB limb patency. Scores of ≥6 portend for worse limb outcomes and a greater incidence of operative complications. The SVS score can be determined from preoperative axial imaging studies and serve as a guide in decision-making and operative planning.
  Sex disparities regarding outcomes for women after open and endovascular abdominal aortic aneurysm repair have been well-documented. The purpose of this study was to review whether these disparities were also present at our institution for elective endovascular aneurysm repair (EVAR) and whether specific factors predispose female patients to negative outcomes.
 
  All elective EVARs were identified from our three sites (Florida, Minnesota, and Arizona) from 2000 to 2018. The primary outcome was in-hospital mortality and three-year mortality. Secondary outcomes included complications requiring return to the operating room, length of hospitalization (LOH), intensive care unit (ICU) days, and location of discharge after hospitalization. Multivariable logistic regression models were used to assess for the risk of complications.
 
  There were 1986 EVARs; 1754 (88.3%) were performed in male and 232 (11.7%) in female patients. Female patients were older (79years [interquartile range (IQR), 72-83years] vs 76years [IQRhree-site, single-institution data support sex disparities to the detriment of female patients regarding return to the operating room after EVAR, LOH, ICU days, and discharge to rehabilitation facility. However, we found no differences for in-hospital or 3-year mortality.
  Previous studies of the natural history of abdominal aortic aneurysms (AAAs) have been limited by small cohort sizes or heterogeneous analyses of pooled data. By quickly and efficiently extracting imaging data from the health records, natural language processing (NLP) has the potential to substantially improve how we study and care for patients with AAAs. The aim of the present study was to test the ability of an NLP tool to accurately identify the presence or absence of AAAs and detect the maximal abdominal aortic diameter in a large dataset of imaging study reports.
 
  Relevant imaging study reports (n= 230,660) from 2003 to 2017 were obtained for 32,778 patients followed up in a prospective aneurysm surveillance registry within a large, diverse, integrated healthcare system. A commercially available NLP algorithm was used to assess the presence of AAAs, confirm the absence of AAAs, and extract the maximal diameter of the abdominal aorta, if stated.  https://www.selleckchem.com/products/Erlotinib-Hydrochloride.html  A blinded expert manual review of 18,000 randomly selectes to guide surveillance, medical management, and operative decision making. It can also potentially be used to identify from the electronic medical records pre- and postoperative AAA patients "lost to follow-up," leverage human resources engaged in the ongoing surveillance of patients with AAAs, and facilitate the construction and implementation of AAA screening programs.
 The use of NLP software can accurately analyze large volumes of radiology report data to detect AAA disease and assemble a contemporary aortic diameter-based cohort of patients for longitudinal analysis to guide surveillance, medical management, and operative decision making. It can also potentially be used to identify from the electronic medical records pre- and postoperative AAA patients "lost to follow-up," leverage human resources engaged in the ongoing surveillance of patients with AAAs, and facilitate the construction and implementation of AAA screening programs.