Lynnbryant8639
To improve accuracy and speed of quantitative susceptibility mapping plus quantitative blood oxygen level-dependent magnitude (QSM+qBOLD or QQ) -based oxygen extraction fraction (OEF) mapping using a deep neural network (QQ-NET).
The 3D multi-echo gradient echo images were acquired in 34 ischemic stroke patients and 4 healthy subjects. Arterial spin labeling and diffusion weighted imaging (DWI) were also performed in the patients. NET was developed to solve the QQ model inversion problem based on Unet. QQ-based OEF maps were reconstructed with previously introduced temporal clustering, tissue composition, and total variation (CCTV) and NET. The results were compared in simulation, ischemic stroke patients, and healthy subjects using a two-sample Kolmogorov-Smirnov test.
In the simulation, QQ-NET provided more accurate and precise OEF maps than QQ-CCTV with 150 times faster reconstruction speed. In the subacute stroke patients, OEF from QQ-NET had greater contrast-to-noise ratio (CNR) between DWI-defined lesions and their unaffected contralateral normal tissue than with QQ-CCTV 1.9 ± 1.3 vs 6.6 ± 10.7 (p = 0.03). In healthy subjects, both QQ-CCTV and QQ-NET provided uniform OEF maps.
QQ-NET improves the accuracy of QQ-based OEF with faster reconstruction.
QQ-NET improves the accuracy of QQ-based OEF with faster reconstruction.
The incidence of thyroid cancer has significantly increased in the last few decades. However, diagnosis of the thyroid nodules is labor and time intensive for radiologists, and strongly depends on the personal experience of the radiologists. In this pursuit, the present study envisaged to develop a deep learning-based computer-aided diagnosis (CAD) method that enabled the automatic detection and classification of suspicious thyroid nodules, in order to reduce the unnecessary fine-needle aspiration biopsy.
The CAD method consisted of two main parts detecting the location of thyroid nodules using a multiscale detection network and classifying the detected thyroid nodules by an attention-based classification network.
The performance of the proposed method was evaluated and compared with that of other state-of-the-art deep learning methods and experienced radiologists. The proposed detection method outperformed three other detection architectures (average precision, 82.1% vs 78.3%, 77.2%, and 74.8%). Moreover, the classification method showed a superior performance compared with four other state-of-the-art classification networks (accuracy, 94.8% vs 91.2%, 85.0%, 80.8%, and 72.1%) and that by experienced radiologists (mean value of area under the curve, 0.941 vs 0.833).
Our study verified the high efficiency of the proposed detection method. The findings can help improve the diagnostic performance of radiologists. However, the developed CAD system requires more training and evaluation in a large-population study. This article is protected by copyright. All rights reserved.
Our study verified the high efficiency of the proposed detection method. learn more The findings can help improve the diagnostic performance of radiologists. However, the developed CAD system requires more training and evaluation in a large-population study. This article is protected by copyright. All rights reserved.In patients with bcr-abl-negative myeloproliferative neoplasms (MPN), concerns are often raised about the use of anticoagulants because of an increased bleeding risk. However, there are few MPN studies focusing on bleeding. To investigate bleeding complications in MPN, we report our retrospective, single-center study of 829 patients with a median follow-up of 5.5 years (range 0.1-35.6). A first bleeding event occurred in 143 of 829 patients (17.2%), corresponding to an incidence rate of 2.29% per patient/year. During the follow-up period, one out of 829 patients (0.1%) died due to bleeding. Regarding anticoagulation, most bleeding occurred in patients on antiplatelet therapies (60.1%), followed by patients on anticoagulation therapies (20.3%) and patients not on anticoagulation (19.6%). In multivariate analysis, administration of antiplatelet (HR 2.31 [1.43, 3.71]) and anticoagulation therapies (HR 4.06 [2.32, 7.09]), but not age, gender or mutation status, was associated with an increased bleeding risk. Comparing the "probability of bleeding-free survival" between the MPN subtypes, no significant difference was observed (p = 0.91, log-rank test). Our retrospective study shows that antiplatelet and anticoagulation therapies significantly increase the risk of bleeding in MPN patients without affecting mortality. However, there is no reason to refrain from guideline-conform primary or secondary anticoagulation in MPN patients.
Tooth wear is a multifactorial process, leading to the loss of dental hard tissues. Therefore, it is important to detect the level of tooth wear at an early stage, so monitoring can be initiated. The Tooth Wear Evaluation System (TWES) enables such a multistage diagnosis of tooth wear. The further developed TWES 2.0 contains a complete taxonomy of tooth wear, but its reliability has not yet been validated.
The aim of the study was to examine in a randomised controlled trial (RCT) whether diagnoses made based on the TWES 2.0 are reproducible and whether this reproducibility is also achieved with computer-assisted diagnostics.
44 dental students received extensive training in TWES 2.0 assessment and taxonomy. The students each evaluated at least 10 (of the present 14) anonymised patient cases using gypsum models and high-resolution intra-oral photographs according to TWES 2.0. One half initially evaluated on paper; the other half used dedicated software (CMDfact / CMDbrux). After half of the patient cases (5), the evaluation methods were switched (AB/BA crossover design). The diagnoses were then evaluated for agreement with the predefined sample solution.
Evaluation of agreement with the sample solution according to Cohen's kappa indicated a value of 0.46 for manual (traditional) evaluation; and 0.44 for computer-assisted evaluation. Evaluation of agreement between examiners was 0.38 for manual and 0.48 for computer-assisted evaluation (Fleiss' kappa).
The results of this study proved that the taxonomy of the TWES 2.0has acceptable reliability and can thus be used by dentists. Accordingly, the system can be learned quickly even by untrained practitioners. Comparable results are achieved with computer-assisted evaluation.
The results of this study proved that the taxonomy of the TWES 2.0 has acceptable reliability and can thus be used by dentists. Accordingly, the system can be learned quickly even by untrained practitioners. Comparable results are achieved with computer-assisted evaluation.This study was conducted from a behaviour change perspective to assess the association between the constructs of Health Belief Model and enrolment in health insurance (HI). A cross-sectional study was conducted among 810 households in Kailali and Baglung districts. The study used personal interviews to collect data. Perceived susceptibility, severity of diseases, benefits of enrolment, causes of non-enrolment, interaction with peers/neighbours, and family member's approval to enrol were independent variables and enrolment in HI served as dependent variable. More than half (52%) of the respondents evaluated themselves as not susceptible to health problems. The severity of the health problem was perceived as an economic burden. General treatment and reduction of financial load were perceived as the main benefits of enrolment. Economic status was described as the main barrier to enrol. A vast majority of the respondents had been invited to enrol, and 73% agreed to enrol. Perceived susceptibility and severity of health problems were significantly associated with HI enrolment but were not significant predictors. However, peers' requests to register in HI, discussion with relatives, and family members' approval to enrol were the most significant predictors enrolment. These factors could be incorporated into future intervention plans for increasing enrolment in HI.
Kinesiology taping (KT) has been used on human subjects for many years. More recently, KT has been used in sport horses. link2 The physiological mechanisms involved remain unclear and its benefits are controversial.
To investigate the effects of application of kinesiology taping to abdominal muscles on locomotor parameters before and after lungeing exercise in horses.
Cross-over study.
Eleven horses were tested twice, once with an application of KT without tension on abdominal muscles (condition 1) and once with a facilitation application of KT on abdominal muscles (condition 2). A triaxial accelerometric device, located in the trunk (Equimetrix system
), was used at walk and trot in hand on a straight line before (30min after the KT application) and after a lungeing session. Locomotor parameters were calculated, including stride frequency, regularity and symmetry, dorsoventral displacement and dorsoventral, mediolateral and longitudinal activities.
At trot, the longitudinal activity was significantly hg ridden.In crisis situations, time is of the essence. Effective messaging to individuals at risk is critical to mitigating the most severe outcomes. Extant crisis communication literature has focused on differentiating crisis types based on perceived blame, particularly in cases of for-profit company malfeasance, but less work has been done to understand how the public makes these types of attributions. This quantitative systematic review investigates the relationship between severity of a large-scale crisis outcome and attributions of blame toward relevant entities. Moderators of interest include the attribution term used with participants (e.g., blame, responsibility), the type of crisis event, and the entity presented as at fault. Overall, a small but significant positive relationship is identified in the majority of studies between severity of a large-scale crisis outcome and attributions of blame. Results suggest that while crisis type and entity to blame are moderators, the attribution term(s) used with participants plays a less significant role. link3 Implications and future directions are considered.Abnormal atrioventricular valve present great challenges to the surgeon in achieving a successful repair, and thus present a great opportunity for enhanced 3D imaging to guide pre- and intra-operative management. Spatial and temporal resolution of 3D echocardiography enables 3D printing of valve morphology. However, non-linearity, angle dependence, speckle, blur, and resampling complicate segmentation compared to computed tomography (CT) and magnetic resonance imaging (MRI). A case of complex mitral valve disease in a pediatric patient is therefore presented to illustrate the technical challenges of segmentation and 3D printing from echocardiographic data.There is an increasing interest in acoustics for microfluidic applications. This field, commonly known as acoustofluidics involves the interaction of ultrasonic standing waves with fluids and dispersed microparticles. The combination of microfluidics and the so-called acoustic standing waves (ASWs) led to the development of integrated systems for contact-less on-chip cell and particle manipulation where it is possible to move and spatially localize these particles based on the different acoustophysical properties. While it was initially suggested that the acoustic forces could be harmful to the cells and could impact cell viability, proliferation, or function via phenotypic or even genotypic changes, further studies disproved such claims. This review is summarizing some interesting applications of acoustofluidics in the manipulations of biomaterials, such as cells or subcellular vesicles, in works published mainly within the last 5 years.
