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Paraganglioma in the Thyroid Gland: In a situation Document and a Overview of the Novels.
The results show that all algorithms have similar diagnostic power, but HKEM and KEM can significantly recover uptake of lesions and improve the accuracy of the diagnosis by up to 22% compared to OSEM. The same improvements are likely to be obtained in clinical applications based on the quantification of small lesions, like for example cancer. This article is part of the theme issue 'Synergistic tomographic image reconstruction part 1'.Electrical and elasticity imaging are promising modalities for a suite of different applications, including medical tomography, non-destructive testing and structural health monitoring. These emerging modalities are capable of providing remote, non-invasive and low-cost opportunities. Unfortunately, both modalities are severely ill-posed nonlinear inverse problems, susceptive to noise and modelling errors. Nevertheless, the ability to incorporate complimentary datasets obtained simultaneously offers mutually beneficial information. By fusing electrical and elastic modalities as a joint problem, we are afforded the possibility to stabilize the inversion process via the utilization of auxiliary information from both modalities as well as joint structural operators. In this study, we will discuss a possible approach to combine electrical and elasticity imaging in a joint reconstruction problem giving rise to novel multi-modality applications for use in both medical and structural engineering. This article is part of the theme issue 'Synergistic tomographic image reconstruction part 1'.Conventional magnetic resonance imaging (MRI) is hampered by long scan times and only qualitative image contrasts that prohibit a direct comparison between different systems. To address these limitations, model-based reconstructions explicitly model the physical laws that govern the MRI signal generation. By formulating image reconstruction as an inverse problem, quantitative maps of the underlying physical parameters can then be extracted directly from efficiently acquired k-space signals without intermediate image reconstruction-addressing both shortcomings of conventional MRI at the same time. This review will discuss basic concepts of model-based reconstructions and report on our experience in developing several model-based methods over the last decade using selected examples that are provided complete with data and code. This article is part of the theme issue 'Synergistic tomographic image reconstruction part 1'.Cardiac magnetic resonance imaging (CMR) is an important tool for the non-invasive diagnosis of a variety of cardiovascular diseases. Parametric mapping with multi-contrast CMR is able to quantify tissue alterations in myocardial disease and promises to improve patient care. However, magnetic resonance imaging is an inherently slow imaging modality, resulting in long acquisition times for parametric mapping which acquires a series of cardiac images with different contrasts for signal fitting or dictionary matching. Furthermore, extra efforts to deal with respiratory and cardiac motion by triggering and gating further increase the scan time. Several techniques have been developed to speed up CMR acquisitions, which usually acquire less data than that required by the Nyquist-Shannon sampling theorem, followed by regularized reconstruction to mitigate undersampling artefacts. Recent advances in CMR parametric mapping speed up CMR by synergistically exploiting spatial-temporal and contrast redundancies. In this article, we will review the recent developments in multi-contrast CMR image reconstruction for parametric mapping with special focus on low-rank and model-based reconstructions. Deep learning-based multi-contrast reconstruction has recently been proposed in other magnetic resonance applications. These developments will be covered to introduce the general methodology. Current technical limitations and potential future directions are discussed. This article is part of the theme issue 'Synergistic tomographic image reconstruction part 1'.[Figure see text].[Figure see text].[Figure see text].[Figure see text].[Figure see text].[Figure see text].
Stroke has a high burden of disease in women, and adverse pregnancy outcomes have been identified as important risk factors for stroke later in life. However, long-term risks of stroke associated with preterm delivery and whether such risks are attributable to familial confounding are unclear. Such knowledge is needed to improve long-term risk assessment and stroke prevention in women.

A national cohort study was conducted of all 2 188 043 women with a singleton delivery in Sweden in 1973 through 2015 who were followed up for stroke identified from nationwide diagnoses through 2015. Cox regression was used to compute adjusted hazard ratios (aHRs) for stroke associated with pregnancy duration, and cosibling analyses assessed for confounding by shared familial (genetic or environmental) factors.

In 48.0 million person-years of follow-up, 36 372 (1.7%) women were diagnosed with stroke. In the 10 years after delivery, the aHR for stroke associated with preterm delivery (gestational age <37 weeks) was 1.6rm delivery was associated with further increases in risk.

In this large national cohort, preterm delivery was associated with higher future risks of both hemorrhagic and ischemic stroke. These associations remained substantially elevated at least 40 years later, and were largely independent of covariates and shared familial factors. Preterm delivery should be recognized as a risk factor for stroke in women across the life course.
In this large national cohort, preterm delivery was associated with higher future risks of both hemorrhagic and ischemic stroke. These associations remained substantially elevated at least 40 years later, and were largely independent of covariates and shared familial factors. Preterm delivery should be recognized as a risk factor for stroke in women across the life course.
Cardiovascular risk factors, such as high blood pressure, adverse serum lipids, and elevated body mass index in midlife, may harm cognitive performance. It is important to note that longitudinal accumulation of cardiovascular risk factors since childhood may be associated with cognitive performance already since childhood, but the previous evidence is scarce. We studied the associations of cardiovascular risk factors from childhood to midlife, their accumulation, and midlife cognitive performance.

From 1980, a population-based cohort of 3596 children (3-18 years of age) have been repeatedly followed up for 31 years. Blood pressure, serum lipids, and body mass index were assessed in all follow-ups. Cardiovascular risk factor trajectories from childhood to midlife were identified using latent class growth mixture modeling. Cognitive testing was performed in 2026 participants 34 to 49 years of age using a computerized test. The associations of the cardiovascular risk factor trajectories and cognitive perform10]).

Longitudinal elevated systolic blood pressure, high serum total cholesterol, and obesity from childhood to midlife were inversely associated with midlife cognitive performance. It is important to note that the higher the number of cardiovascular risk factors, the worse was the observed cognitive performance. Therefore, launching preventive strategies against cardiovascular risk factors beginning from childhood might benefit primordial promotion of cognitive health in adulthood.
Longitudinal elevated systolic blood pressure, high serum total cholesterol, and obesity from childhood to midlife were inversely associated with midlife cognitive performance. It is important to note that the higher the number of cardiovascular risk factors, the worse was the observed cognitive performance. check details Therefore, launching preventive strategies against cardiovascular risk factors beginning from childhood might benefit primordial promotion of cognitive health in adulthood.Presence of heart failure is associated with a poor prognosis in patients with coronavirus disease 2019 (COVID-19). The aim of the present study was to examine whether first-phase ejection fraction (EF1), the ejection fraction measured in early systole up to the time of peak aortic velocity, a sensitive measure of preclinical heart failure, is associated with survival in patients hospitalized with COVID-19. A retrospective outcome study was performed in patients hospitalized with COVID-19 who underwent echocardiography (n=380) at the West Branch of the Union Hospital, Wuhan, China and in patients admitted to King's Health Partners in South London, United Kingdom. Association of EF1 with survival was performed using Cox proportional hazards regression. EF1 was compared in patients with COVID-19 and in historical controls with similar comorbidities (n=266) who had undergone echocardiography before the COVID-19 pandemic. In patients with COVID-19, EF1 was a strong predictor of survival in each patient group (Wuhan and London). In the combined group, EF1 was a stronger predictor of survival than other clinical, laboratory, and echocardiographic characteristics including age, comorbidities, and biochemical markers. A cutoff value of 25% for EF1 gave a hazard ratio of 5.23 ([95% CI, 2.85-9.60]; P less then 0.001) unadjusted and 4.83 ([95% CI, 2.35-9.95], P less then 0.001) when adjusted for demographics, comorbidities, hs-cTnI (high-sensitive cardiac troponin), and CRP (C-reactive protein). EF1 was similar in patients with and without COVID-19 (23.2±7.3 versus 22.0±7.6%, P=0.092, adjusted for prevalence of risk factors and comorbidities). Impaired EF1 is strongly associated with mortality in COVID-19 and probably reflects preexisting, preclinical heart failure.
Marketing payments from the pharmaceutical industry to physicians have come under scrutiny due to their potential to influence clinical decision-making. Two proprotein convertase subtilisin/kexin type 9 inhibitors (PCSK9i) were approved by the US Food and Drug Administration in 2015 for reducing low-density lipoprotein cholesterol in high-risk patients, but their initial uptake was limited due to their high-cost and stringent prior authorization requirements. We sought to investigate the association between industry marketing and early adoption of PCSK9i among US physicians.

We used nationwide databases of primary care physicians, cardiologists, and endocrinologists treating Medicare beneficiaries to examine the association between PCSK9i-related marketing payments in 2016 and the number of filled PCSK9i prescriptions in 2017, after adjusting for physician characteristics. In subgroup analyses, we stratified our analyses by physician specialty and prior experience with prescribing PCSK9i.

Among 209 840 iption in the subsequent year.
At a time when few physicians had experience with prescribing PCSK9i under strict prior authorization requirements, industry marketing payments to physicians for PCSK9i, predominantly in the form of meals, were associated with increased PCSK9i prescription in the subsequent year.
In the USA, approximately 45% of pregnancies are unintended. Accessing quality contraceptives can be a barrier for some individuals, especially low-income, uninsured, minority or younger women. These problems are exacerbated in rural areas1. Integrating contraceptive services into primary care is an approach to ensure that sexually active women receive access to contraceptives. This study documented how one rural Federally Qualified Health Center (FQHC) adapted to their culturally conservative environment by offering contraceptive counseling, comprehensive education on birth control, and access to contraceptive services directly through primary care.

Twenty-one semi structured interviews were conducted and analyzed in Atlas.ti&reg;. All women patients who had received contraceptive services through primary care in the previous 6 months were invited to participate in a semi-structured interview. A sample of current and past board members were invited to participate in semi-structured interviews. A sample of five primary care providers and nurses who interact with women receiving contraceptive services was invited to participate in a semi-structured, in-person interview.
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