357,879 results match your criteria proposed method

Design study of a PET detector with 0.5 mm crystal pitch for high-resolution preclinical imaging.

Phys Med Biol 2021 Jun 15. Epub 2021 Jun 15.

Institute of Biomedical Engineering , Shenzhen Bay Laboratory, Shenzhen, CHINA.

Preclinical positron emission tomography (PET) is a sensitive and quantitative molecule imaging modality widely used in characterizing the biological processes and diseases in small animals. The purpose of this study is to investigate the methods to optimize a PET detector for high-resolution preclinical imaging. The PET detector proposed in this study consists of a 28×28 array of LYSO crystals 0. Read More

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Surrogate Endpoints in Oncology: Overview of Systematic Reviews and Their Use for Health Decision Making in Mexico.

Value Health Reg Issues 2021 Jun 12;26:75-88. Epub 2021 Jun 12.

CENETEC (National Center for Health Technology Excellence), Mexico City, Mexico.

Objectives: The use of surrogate endpoints (SEs) for cancer drug approval in health systems is common. The objectives of this study were to identify systematic reviews (SRs) that evaluated the correlation of SEs with overall survival (OS) in cancer drugs to analyze the applications of approved cancer drugs with SEs in Mexico and to apply the validation framework proposed by the Institute for Quality and Efficiency in Health Care (IQWiG).

Methods: An overview of SRs was conducted according to Cochrane Collaboration methodology. Read More

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Direct 3D ultrasound fusion for transesophageal echocardiography.

Comput Biol Med 2021 May 21;134:104502. Epub 2021 May 21.

Division of Cardiology, Department of Medicine and Therapeutics, Prince of Wales Hospital and Laboratory of Cardiac Imaging and 3D Printing, Li Ka Shing Institute of Health Science, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.

Background: Real-time three-dimensional transesophageal echocardiography (3D TEE) has been increasingly used in clinic for fast 3D analysis of cardiac anatomy and function. However, 3D TEE still suffers from the limited field of view (FoV). It is challenging to adopt conventional multi-view fusion methods to 3D TEE images because feature-based registration methods tend to fail in the ultrasound scenario, and conventional intensity-based methods have poor convergence properties and require an iterative coarse-to-fine strategy. Read More

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Ultrafiltration strategy combined with nanoLC-MS/MS based proteomics for monitoring potential residual proteins in TCMIs.

J Chromatogr B Analyt Technol Biomed Life Sci 2021 May 30;1178:122818. Epub 2021 May 30.

Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, and Jiangsu Key Laboratory for High Technology Research of TCM Formulae, College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China. Electronic address:

Traditional Chinese medicine injections (TCMIs) containing complex constituents frequently cause unpredictable adverse reactions. The residual heterologous proteins in TCMIs may be one kind of the sensitized constituents. However, few methods were developed to identify and monitor the residual proteins of TCMIs in industry. Read More

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Characterization of chemical constituents and metabolites in rat plasma after oral administration of San Miao Wan by ultra-high performance liquid chromatography tandem Q-Exactive Orbitrap mass spectrometry.

J Chromatogr B Analyt Technol Biomed Life Sci 2021 May 28;1178:122793. Epub 2021 May 28.

State Key Laboratory of Natural Medicines, China Pharmaceutical University, No. 24 Tongjia Lane, Nanjing, Jiangsu Province, PR China; Department of Pharmacognosy, School of Traditional Chinese Pharmacy, China Pharmaceutical University, No. 24 Tongjia Lane, Nanjing, Jiangsu Province, PR China. Electronic address:

San Miao Wan (SMW), composed of Phellodendri Chinensis Cortex, Atractylodis Lanceae Rhizoma and Achyranthis Bidentatae Radix, is widely used for the treatment of gout, hyperuricemia and other diseases. In the present study, an overall identification strategy based on ultra-high performance liquid chromatography tandem Q-Exactive Orbitrap mass spectrometry (UPLC-Q-Exactive Orbitrap/MS) method was established to characterize the multiple chemical constituents of SMW and its metabolites in rat plasma after oral administration of SMW. A total of 76 constituents including alkaloids, organic acids, lactones, terpenes, saponins, sterones and others types of components were identified in the extract of SMW. Read More

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Microplastic degradation methods and corresponding degradation mechanism: Research status and future perspectives.

J Hazard Mater 2021 Jun 10;418:126377. Epub 2021 Jun 10.

Joint Laboratory of Guangdong Province and Hong Kong Region on Marine Bioresource Conservation and Exploitation, College of Marine Sciences, South China Agricultural University, Guangzhou 510642, China; Institute of Eco-Environmental Research, Guangxi Academy of Sciences, Nanning 530007, China. Electronic address:

Microplastics (MPs) pollution has become a global environmental concern because of their severe threat to biota. However, limited studies on the elimination of MPs pollution were reported. The conventional treatment methods were not suitable for MPs owing to their smaller size than plastic items. Read More

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Method for characterization of dynamic ankle stiffness in patients with spasticity.

Gait Posture 2021 Jun 8;88:247-251. Epub 2021 Jun 8.

Motion Analysis Laboratory, Department of Orthopedic Surgery, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA. Electronic address:

Background: Dynamic ankle stiffness has been quantified as the slope of the ankle joint moment-angle curve over the gait interval of the second rocker, defined explicitly as the period of the gait cycle from the first relative maximum plantar flexion in early stance to maximum dorsiflexion in midstance. However, gastrocnemius spasticity may interfere with the second ankle rocker in patients with spasticity. This gait disruption results in stiffness calculations which are misleading. Read More

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The effect of oral omega-3 polyunsaturated fatty acid supplementation on muscle maintenance and quality of life in patients with cancer: A systematic review and meta-analysis.

Clin Nutr 2021 Apr 27;40(6):3815-3826. Epub 2021 Apr 27.

Bond University Nutrition and Dietetics Research Group, Faculty of Health Sciences and Medicine, Bond University, Gold Coast, QLD, Australia; Dietetics and Foodservices, Mater Health, South Brisbane, QLD, Australia; Mater Research Institute, University of Queensland, Brisbane, QLD, Australia.

Background & Aims: Omega-3 polyunsaturated fatty acid (PUFA) supplementation has been proposed as a potential therapy for cancer-related malnutrition, which affects up to 70% of patients with cancer. The aim of this systematic review and meta-analysis was to examine the effects of oral omega-3 PUFA supplementation on muscle maintenance, quality of life, body weight and treatment-related toxicities in patients with cancer.

Methods: Randomised controlled trials in patients with cancer aged ≥18 years were retrieved from 5 electronic databases: MEDLINE (via PubMed), EMBASE, CENTRAL, CINAHL (via EBSCOhost), and Web of Science, from database inception until 31st of December 2019. Read More

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Postprandial dynamics and response of fibroblast growth factor 21 in older adults.

Clin Nutr 2021 Apr 27;40(6):3765-3771. Epub 2021 Apr 27.

German Institute of Human Nutrition, Potsdam-Rehbrücke, Department of Nutrition and Gerontology, Nuthetal, Germany; University of Potsdam, Institute of Nutritional Science, Potsdam, Germany; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Department of Geriatrics, Berlin, Germany. Electronic address:

Background & Aims: Fibroblast growth factor 21 (FGF21) plays a pivotal role in glucose and lipid metabolism and has been proposed as a longevity hormone. However, elevated plasma FGF21 concentrations are paradoxically associated with mortality in higher age and little is known about the postprandial regulation of FGF21 in older adults. In this parallel group study, we investigated postprandial FGF21 dynamics and response in older (65-85 years) compared to younger (18-35 years) adults following test meals with varying macronutrient composition. Read More

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GLIM vs ESPEN criteria for the diagnosis of early malnutrition in oncological outpatients.

Clin Nutr 2021 Apr 22;40(6):3741-3747. Epub 2021 Apr 22.

Instituto de Investigación Sanitaria (IIS) Aragón, Av. San Juan Bosco, 13, 50009, Zaragoza, Spain; Translational Research Unit, Miguel Servet University Hospital, Instituto Aragonés de Ciencias de La Salud (IACS), Av. Isabel La Católica 1-3, 50009, Zaragoza, Spain; Biomedical Research Center in Physiopathology of Obesity and Nutrition (CIBERObn), Health Institute Carlos III (ISCIII), Av. Monforte de Lemos, 3-5, 28029, Madrid, Spain.

Background & Aims: Malnutrition is one of the most prevalent problems among oncological patients. It reduces the response to treatments and negatively impacts survival. In 2019, a consensus criteria for diagnosing malnutrition (GLIM criteria) were proposed by most scientific nutrition societies. Read More

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Are muscle parameters obtained by computed tomography associated with outcome after esophagectomy for cancer?

Clin Nutr 2021 May 1;40(6):3729-3740. Epub 2021 May 1.

Department of Intensive Care Medicine, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany.

Background & Aims: Esophageal cancer patients often suffer from cancer-related malnutrition and, as a result, sarcopenia. Whether sarcopenia worsens the outcome after esophagectomy is unclear. Inconsistent study results are partly caused by varying cut-off values used for defining sarcopenia. Read More

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The nitrosamine contamination of drugs, part 3: Quantification of 4-Methyl-1-nitrosopiperazine in rifampicin capsules by LC-MS/HRMS.

J Pharm Biomed Anal 2021 Jun 10;203:114205. Epub 2021 Jun 10.

Institute for Pharmacy and Food Chemistry, Julius-Maximilians University Würzburg, Am Hubland, D-97074, Würzburg, Germany. Electronic address:

Upon emergence of nitrosamines in various drugs, e.g in valsartan, metformin and ranitidine, 4-methyl-1-nitrosopiperazine (MeNP) was found in rifampicin in August 2020. Rifampicin is used, amongst others, for post-exposure prophylaxis of leprosy. Read More

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Technical framework for wastewater-based epidemiology of SARS-CoV-2.

Sci Total Environ 2021 Jun 11;791:148271. Epub 2021 Jun 11.

Department of Pharmaceutical & Biological Engineering, School of Chemical Engineering, Sichuan University, Chengdu 610065, China. Electronic address:

Wastewater-based epidemiology (WBE) is expected to become a powerful tool to monitor the dissemination of SARS-CoV-2 at the community level, which has attracted the attention of scholars all over the world. However, there is not yet a standard protocol to guide its implementation. In this paper, we proposed a comprehensive technical and theoretical framework of relative quantification via qPCR for determining the virus abundance in wastewater and estimating the infection ratio in corresponding communities, which is expected to achieve horizontal and vertical comparability of the data using a human-specific biomarker as the internal reference. Read More

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Quantitative Assessment of Age-dependent changes in Porphyrins from Fluorescence Images of Ultraviolet Photography by Image Processing.

Photodiagnosis Photodyn Ther 2021 Jun 12:102388. Epub 2021 Jun 12.

Graduate School of Science and Technology, Keio University, Yokohama, Japan. Electronic address:

Background: Skin is the first line of defense against harmful external environmental factors. Lots of skin flora living on the skin surface deal with skin health care and skin disease treatment and prevention, such as bacteria, which form the unique and complex skin micro-ecological system. Propionibacterium acnes (P. Read More

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Efficient and effective single-step screening of individual samples for SARS-CoV-2 RNA using multi-dimensional pooling and Bayesian inference.

J R Soc Interface 2021 Jun 16;18(179):20210155. Epub 2021 Jun 16.

Department of Chemistry, University of Utah, Salt Lake City, UT, USA.

Rapid and widespread implementation of infectious disease surveillance is a critical component in the response to novel health threats. Molecular assays are the preferred method to detect a broad range of viral pathogens with high sensitivity and specificity. The implementation of molecular assay testing in a rapidly evolving public health emergency, such as the ongoing COVID-19 pandemic, can be hindered by resource availability or technical constraints. Read More

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Anatomically aided PET image reconstruction using deep neural networks.

Med Phys 2021 Jun 15. Epub 2021 Jun 15.

Department of Biomedical Engineering, University of California, Davis, CA, USA.

Purpose: The developments of PET/CT and PET/MR scanners provide opportunities for improving PET image quality by using anatomical information. In this paper, we propose a novel co-learning 3D convolutional neural network (CNN) to extract modality-specific features from PET/CT image pairs and integrate complementary features into an iterative reconstruction framework to improve PET image reconstruction.

Methods: We used a pre-trained deep neural network to represent PET images. Read More

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The selection of indicators from initial blood routine test results to improve the accuracy of early prediction of COVID-19 severity.

PLoS One 2021 15;16(6):e0253329. Epub 2021 Jun 15.

The Geriatric Respiratory Department, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.

The global pandemic of COVID-19 poses a huge threat to the health and lives of people all over the world, and brings unprecedented pressure to the medical system. We need to establish a practical method to improve the efficiency of treatment and optimize the allocation of medical resources. Due to the influx of a large number of patients into the hospital and the running of medical resources, blood routine test became the only possible check while COVID-19 patients first go to a fever clinic in a community hospital. Read More

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Development and psychometric properties of the Nursing Student Academic Resilience Inventory (NSARI): A mixed-method study.

PLoS One 2021 15;16(6):e0252473. Epub 2021 Jun 15.

Nursing Care Research Center, Semnan University of Medical Sciences, Semnan, Iran.

Introduction: Resilience has been proposed as a suitable solution to better deal with nursing students in cases of challenges but the complex and multidimensional nature of resilience has made its measurement challenging. This study aimed to develop and validate a new inventory theory-driven labeled Nursing Student Academic Resilience Inventory.

Methods: This study was performed with an exploratory sequential mixed-method design. Read More

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Stabilizing the phase of swept-source optical coherence tomography by a wrapped Gaussian mixture model.

Opt Lett 2021 Jun;46(12):2932-2935

The phase of an optical coherence tomography (OCT) signal carries critical information about particle micro-displacements. However, swept-source OCT (SSOCT) suffers from phase instability problems due to trigger jitters from the swept source. In this Letter, a wrapped Gaussian mixture model (WGMM) is proposed to stabilize the phase of SSOCT systems. Read More

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In-service crosstalk monitoring in multicore fibers based on precoded DMT system.

Opt Lett 2021 Jun;46(12):2924-2927

In-service crosstalk monitoring based on the precoding technique in a discrete multitone (DMT) system is proposed and validated experimentally. The method relies on the ability of time-frequency domain equalization of precoded DMT. Experiments on a 20 GBaud 16 quadrature amplitude modulation DMT system over seven-core weakly coupled multicore fibers (MCFs) are conducted. Read More

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Common-path angular-multiplexing holographic data storage based on computer-generated holography.

Opt Lett 2021 Jun;46(12):2920-2923

An unconventional angular-multiplexed recording technique is proposed for holographic data storage based on a computer-generated hologram (CGH) technique. While general angular-multiplexed recording techniques require a Mach-Zehnder interferometer to record data pages as volume holograms, the proposed method records ones with a common-path configuration with the help of a CGH technique, which prevents the optical setup from being bulky. In the proposed method, the CGH reconstructs signal and reference beams simultaneously, and these beams interfere in a recording medium. Read More

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Simple and precise characterization of differential modal group delay arising in few-mode fiber.

Opt Lett 2021 Jun;46(12):2856-2859

In this Letter, we propose a simple and high-precision differential modal group delay (DMGD) characterization method for few-mode fibers (FMF) by using the frequency-modulated continuous wave. Since the detected signals are located at the low-frequency range, our DMGD characterization method waives the use of expensive equipment, such as vector network or optical spectrum analyzers. Due to the high linearity of the used Mach-Zehnder modulator, our DMGD measurement is free from the complex auxiliary interferometer, leading to an improvement of characterization precision. Read More

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Full-field measurement of complex objects illuminated by an ultrashort pulse laser using delay-line sweeping off-axis interferometry.

Opt Lett 2021 Jun;46(12):2803-2806

Measuring the complex field of ultrashort pulse lasers plays a fundamental role in light wavefront manipulation and nonlinear phenomena investigation; yet, it still constitutes a challenge for both full-field and high-resolution characterization due to the short coherent length. We proposed and implemented an off-axis interference system with a delay-line sweeping technique to overcome the fringe contrast degradation caused by the envelope mismatch between interfering pulses, resulting in an increased effective analysis area. The effectiveness of the proposed method was first demonstrated by measuring a complex field generated by a phase-only spatial light modulator, where a four-pixel binning technique was adopted for both amplitude and phase modulation; then it was used for the measurement of the second harmonic generation signal of a urea crystal sample. Read More

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Exploiting Causality for Improved Prediction of Patient Volumes by Gaussian Processes.

IEEE J Biomed Health Inform 2021 Jun 15;PP. Epub 2021 Jun 15.

Estimating and surveillance volumes of patients are of great importance for public health and resource allocation. In many situations, the change of these volumes is correlated with many factors, e.g. Read More

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A computational method for learning disease trajectories from partially observable EHR data.

IEEE J Biomed Health Inform 2021 Jun 15;PP. Epub 2021 Jun 15.

Diseases can show different courses of progression even when patients share the same risk factors. Recent studies have revealed that the use of trajectories, the order in which diseases manifest throughout life, can be predictive of the course of progression. In this study, we propose a novel computational method for learning disease trajectories from EHR data. Read More

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Multi-level Attention Network for Retinal Vessel Segmentation.

IEEE J Biomed Health Inform 2021 Jun 15;PP. Epub 2021 Jun 15.

Automatic vessel segmentation in the fundus images plays an important role in the screening, diagnosis, treatment, and evaluation of various cardiovascular and ophthalmologic diseases. However, due to the limited well-annotated data, varying size of vessels, and intricate vessel structures, retinal vessel segmentation has become a long-standing challenge. In this paper, a novel deep learning model called AACA-MLA-D-UNet is proposed to fully utilize the low-level detailed information and the complementary information encoded in different layers to accurately distinguish the vessels from the background with low model complexity. Read More

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A Deep Probabilistic Transfer Learning Framework for Soft Sensor Modeling With Missing Data.

IEEE Trans Neural Netw Learn Syst 2021 Jun 15;PP. Epub 2021 Jun 15.

Soft sensors have been extensively developed and applied in the process industry. One of the main challenges of the data-driven soft sensors is the lack of labeled data and the need to absorb the knowledge from a related source operating condition to enhance the soft sensing performance on the target application. This article introduces deep transfer learning to soft sensor modeling and proposes a deep probabilistic transfer regression (DPTR) framework. Read More

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Enriched Random Forest for High Dimensional Genomic Data.

IEEE/ACM Trans Comput Biol Bioinform 2021 Jun 15;PP. Epub 2021 Jun 15.

Ensemble methods such as random forest works well on high-dimensional datasets. However, when the number of features is extremely large compared to the number of samples and the percentage of truly informative feature is very small, performance of traditional random forest decline significantly. To this end, we develop a novel approach that enhance the performance of traditional random forest by reducing the contribution of trees whose nodes are populated with less informative features. Read More

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Capsule Attention for Multimodal EEG-EOG Representation Learning with Application to Driver Vigilance Estimation.

IEEE Trans Neural Syst Rehabil Eng 2021 Jun 15;PP. Epub 2021 Jun 15.

Driver vigilance estimation is an important task for transportation safety. Wearable and portable brain-computer interface devices provide a powerful means for real-time monitoring of the vigilance level of drivers to help with avoiding distracted or impaired driving. In this paper, we propose a novel multimodal architecture for in-vehicle vigilance estimation from Electroencephalogram and Electrooculogram. Read More

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CleftNet: Augmented Deep Learning for Synaptic Cleft Detection from Brain Electron Microscopy.

Yi Liu Shuiwang Ji

IEEE Trans Med Imaging 2021 Jun 15;PP. Epub 2021 Jun 15.

Detecting synaptic clefts is a crucial step to investigate the biological function of synapses. The volume electron microscopy (EM) allows the identification of synaptic clefts by photoing EM images with high resolution and fine details. Machine learning approaches have been employed to automatically predict synaptic clefts from EM images. Read More

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