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Alberto Gil de la Fuente, Joanna Godzien, Mariano Fernández López, Francisco J Rupérez, Coral Barbas, Abraham Otero
CEU Mass Mediator (CMM) is an on-line tool for aiding researchers when performing metabolite annotation. Its database is comprised of 279,318 real compounds integrated from several metabolomic databases including Human Metabolome Database (HMDB), KEGG and LipidMaps and 672,042 simulated compounds from MINE. In addition, CMM scores the annotations which matched the query parameters using 122 rules based on expert knowledge. This knowledge, obtained from the Centre for Metabolomics and Bioanalysis (CEMBIO) and from a literature review, enables CMM expert system to automatically extract evidence to support or refute the annotations by checking relationships among them...
February 23, 2018: Journal of Pharmaceutical and Biomedical Analysis
Stoyan Popkirov, Vera Flasbeck, Uwe Schlegel, Georg Juckel, Martin Brüne
Previous studies have suggested that alexithymia may be related to impairments in automatic emotion processing. While it is well established that alexithymia is highly prevalent in individuals with borderline personality disorder (BPD), it is unknown whether this is reflected by an altered automatic processing of emotional stimuli. In the present study we investigated visually evoked event-related potentials using neutral and negative images from the International Affective Pictures System in 26 BPD patients and 26 healthy controls...
March 6, 2018: Psychiatry Research
Pascal Fleurkens, Agnes van Minnen, Eni S Becker, Iris van Oostrom, Anne Speckens, Mike Rinck, Janna N Vrijsen
Depression risk genes in combination with childhood events have been associated with biased processing as an intermediate phenotype for depression. The aim of the present conceptual replication study was to investigate the role of biased automatic approach-avoidance tendencies as a candidate intermediate phenotype for depression, in the context of genes (5-HTTLPR polymorphism) and childhood trauma. A naturalistic remitted depressed patients sample (N = 209) performed an Approach-Avoidance Task (AAT) with facial expressions (angry, sad, happy and neutral)...
2018: PloS One
Junichi Tokuda, Laurent Chauvin, Brian Ninni, Takahisa Kato, Franklin King, Kemal Tuncali, Nobuhiko Hata
Patient-mounted needle guide devices for
 percutaneous ablations are vulnerable to patient motion. The objective of this study is to develop and evaluate a software system for MRI-compatible patient-mounted needle guide device that can adaptively compensate for the displacement of the device due to the patient motion using a novel image-based automatic device-to-image registration.
 Materials and Methods. We developed a software system for an MRI-compatible patient-mounted needle guide device for percutaneous ablations...
March 16, 2018: Physics in Medicine and Biology
Xin Li, Di Wang, Chun Yang, Qi Zhou, Suo-Lang Zhuoga, Li-Qiang Wang, Han-Xin Yao, Qin Zhang, Qing Ai, Chen-Xi Yang, Jian-Cheng Xu
BACKGROUND: The development and growth of children influence values of liver function tests. This study aims to establish age- and gender-specific pediatric reference intervals of liver function among Han children in Changchun, China. METHODS: A total of 1394 healthy Han children, aged 2-14 years, were recruited from communities and schools with informed parental consent in Changchun. The levels of serum alanine aminotransferase (ALT), aspartate aminotransferase (AST), γ-glutamyltransferase (GGT), alkaline phosphatase (ALP), total protein (TP), albumin (ALB), total bilirubin (TBIL) and direct bilirubin (DBIL) were measured on Hitachi 7600-210 automatic biochemical analyzer...
March 15, 2018: World Journal of Pediatrics: WJP
Neta Blau, Eyal Klang, Nahum Kiryati, Marianne Amitai, Orith Portnoy, Arnaldo Mayer
PURPOSE: Simple renal cysts are a common benign finding in abdominal CT scans. However, since they may evolve in time, simple cysts need to be reported. With an ever-growing number of slices per CT scan, cysts are easily overlooked by the overloaded radiologist. In this paper, we address the detection of simple renal cysts as an incidental finding in a real clinical setting. METHODS: We propose a fully automatic framework for renal cyst detection, supported by a robust segmentation of the kidneys performed by a fully convolutional neural network...
March 15, 2018: International Journal of Computer Assisted Radiology and Surgery
Elisa Pelosin, Ambra Bisio, Thierry Pozzo, Giovanna Lagravinese, Oscar Crisafulli, Roberta Marchese, Giovanni Abbruzzese, Laura Avanzino
Postural reactions can be influenced by concomitant tasks or different contexts and are modulated by a higher order motor control. Recent studies investigated postural changes determined by motor contagion induced by action observation (chameleon effect) showing that observing a model in postural disequilibrium induces an increase in healthy subjects' body sway. Parkinson's disease (PD) is associated with postural instability and impairments in cognitively controlled balance tasks. However, no studies investigated if viewing postural imbalance might influence postural stability in PD and if patients are able to inhibit a visual postural perturbation...
2018: Frontiers in Neurology
Jinkwon Jun, Soyoung Yoo
Neuroscientific imaging evidence (NIE) has become an integral part of the criminal justice system in the United States. However, in most legal cases, NIE is submitted and used only to mitigate penalties because the court does not recognize it as substantial evidence, considering its lack of reliability. Nevertheless, we here discuss how neuroscience is expected to improve the use of NIE in the legal system. For this purpose, we classified the efforts of neuroscientists into three research strategies: cognitive subtraction, the data-driven approach, and the brain-manipulation approach...
2018: Frontiers in Neuroscience
Joshua W Joseph, Samuel Davis, Elissa H Wilker, Matthew L Wong, Ori Litvak, Stephen J Traub, Larry A Nathanson, Leon D Sanchez
OBJECTIVES: Emergency physician productivity, often defined as new patients evaluated per hour, is essential to planning clinical operations. Prior research in this area considered this a static quantity; however, our group's study of resident physicians demonstrated significant decreases in hourly productivity throughout shifts. We now examine attending physicians' productivity to determine if it is also dynamic. METHODS: This is a retrospective cohort study, conducted from 2014 to 2016 across three community hospitals in the north-eastern USA, with different schedules and coverage...
March 15, 2018: Emergency Medicine Journal: EMJ
Irena Misiewicz-Krzeminska, Luis Antonio Corchete, Elizabeta A Rojas, Joaquín Martínez-López, Ramón García-Sanz, Albert Oriol, Joan Bladé, Juan José Lahuerta, Jesús San Miguel, María Victoria Mateos, Norma C Gutiérrez
Protein analysis in bone marrow samples from patients with multiple myeloma has been limited by the low protein concentration obtained after CD138+ selection. A novel approach based on capillary nano-immunoassay could make it possible to automatically quantify dozens of proteins from each myeloma sample. Here, we present a method for the accurate and robust quantification of the expression of multiple proteins extracted from CD138-purified multiple myeloma samples frozen in RLT Plus buffer, which is commonly used for nucleic acid preservation and isolation...
March 15, 2018: Haematologica
M A Alsalem, A A Zaidan, B B Zaidan, M Hashim, H T Madhloom, N D Azeez, S Alsyisuf
CONTEXT: Acute leukaemia diagnosis is a field requiring automated solutions, tools and methods and the ability to facilitate early detection and even prediction. Many studies have focused on the automatic detection and classification of acute leukaemia and their subtypes to promote enable highly accurate diagnosis. OBJECTIVE: This study aimed to review and analyse literature related to the detection and classification of acute leukaemia. The factors that were considered to improve understanding on the field's various contextual aspects in published studies and characteristics were motivation, open challenges that confronted researchers and recommendations presented to researchers to enhance this vital research area...
May 2018: Computer Methods and Programs in Biomedicine
Sara Moccia, Elena De Momi, Sara El Hadji, Leonardo S Mattos
BACKGROUND: Blood vessel segmentation is a topic of high interest in medical image analysis since the analysis of vessels is crucial for diagnosis, treatment planning and execution, and evaluation of clinical outcomes in different fields, including laryngology, neurosurgery and ophthalmology. Automatic or semi-automatic vessel segmentation can support clinicians in performing these tasks. Different medical imaging techniques are currently used in clinical practice and an appropriate choice of the segmentation algorithm is mandatory to deal with the adopted imaging technique characteristics (e...
May 2018: Computer Methods and Programs in Biomedicine
Xiaopeng Yang, Jae Do Yang, Hong Pil Hwang, Hee Chul Yu, Sungwoo Ahn, Bong-Wan Kim, Heecheon You
BACKGROUND AND OBJECTIVE: The present study developed an effective surgical planning method consisting of a liver extraction stage, a vessel extraction stage, and a liver segment classification stage based on abdominal computerized tomography (CT) images. METHODS: An automatic seed point identification method, customized level set methods, and an automated thresholding method were applied in this study to extraction of the liver, portal vein (PV), and hepatic vein (HV) from CT images...
May 2018: Computer Methods and Programs in Biomedicine
Sara Moccia, Gabriele O Vanone, Elena De Momi, Andrea Laborai, Luca Guastini, Giorgio Peretti, Leonardo S Mattos
BACKGROUND AND OBJECTIVE: Early-stage diagnosis of laryngeal cancer is of primary importance to reduce patient morbidity. Narrow-band imaging (NBI) endoscopy is commonly used for screening purposes, reducing the risks linked to a biopsy but at the cost of some drawbacks, such as large amount of data to review to make the diagnosis. The purpose of this paper is to present a strategy to perform automatic selection of informative endoscopic video frames, which can reduce the amount of data to process and potentially increase diagnosis performance...
May 2018: Computer Methods and Programs in Biomedicine
Aida Kamišalić, David Riaño, Tatjana Welzer
BACKGROUND: In medical practice, long term interventions are common and they require timely planning of the involved processes. Unfortunately, evidence-based statements about time are hard to find in Clinical Practice Guidelines (CPGs) and in other sources of medical knowledge. At the same time, health care centers use medical records and information systems to register data about clinical processes and patients, including time information about the encounters, prescriptions, and other clinical actions...
May 2018: Computer Methods and Programs in Biomedicine
Piotr Chudzik, Somshubra Majumdar, Francesco Calivá, Bashir Al-Diri, Andrew Hunter
BACKROUND AND OBJECTIVES: Diabetic retinopathy is a microvascular complication of diabetes that can lead to sight loss if treated not early enough. Microaneurysms are the earliest clinical signs of diabetic retinopathy. This paper presents an automatic method for detecting microaneurysms in fundus photographies. METHODS: A novel patch-based fully convolutional neural network with batch normalization layers and Dice loss function is proposed. Compared to other methods that require up to five processing stages, it requires only three...
May 2018: Computer Methods and Programs in Biomedicine
Worapan Kusakunniran, Qiang Wu, Panrasee Ritthipravat, Jian Zhang
(Background and Objective): The occurrence of hard exudates is one of the early signs of diabetic retinopathy which is one of the leading causes of the blindness. Many patients with diabetic retinopathy lose their vision because of the late detection of the disease. Thus, this paper is to propose a novel method of hard exudates segmentation in retinal images in an automatic way. (Methods): The existing methods are based on either supervised or unsupervised learning techniques. In addition, the learned segmentation models may often cause miss-detection and/or fault-detection of hard exudates, due to the lack of rich characteristics, the intra-variations, and the similarity with other components in the retinal image...
May 2018: Computer Methods and Programs in Biomedicine
Qiang Chen, Sijie Niu, Wangyi Fang, Yuanlu Shuai, Wen Fan, Songtao Yuan, Qinghuai Liu
BACKGROUND AND OBJECTIVE: The measurement of choroidal volume is more related with eye diseases than choroidal thickness, because the choroidal volume can reflect the diseases comprehensively. The purpose is to automatically segment choroid for three-dimensional (3D) spectral domain optical coherence tomography (SD-OCT) images. METHODS: We present a novel choroid segmentation strategy for SD-OCT images by incorporating the enhanced depth imaging OCT (EDI-OCT) images...
May 2018: Computer Methods and Programs in Biomedicine
C Bascoul-Mollevi, Marion Savina, Amélie Anota, Antoine Barbieri, David Azria, Franck Bonnetain, Sophie Gourgou
BACKGROUND AND OBJECTIVE: Health-related quality of life (HRQoL) has become one relevant and available alternative endpoint of clinical trials in cancer research to evaluate efficiency of care both for the patient and health system. HRQoL in oncology is mainly assessed using the 30-item European Organisation for Research and Treatment of Cancer Quality of Life-Questionnaire Core 30 (EORTC QLQ-C30). The EORTC QLQ-C30 questionnaire is usually assessed at different times along the clinical trials in order to analyze the kinetics of HRQoL evolution and to fully assess the impact of the treatment on the patient's HRQoL level...
May 2018: Computer Methods and Programs in Biomedicine
Xiaopeng Yang, Jae Do Yang, Hee Chul Yu, Younggeun Choi, Kwangho Yang, Tae Beom Lee, Hong Pil Hwang, Sungwoo Ahn, Heecheon You
BACKGROUND AND OBJECTIVE: Manual tracing of the right and left liver lobes from computed tomography (CT) images for graft volumetry in preoperative surgery planning of living donor liver transplantation (LDLT) is common at most medical centers. This study aims to develop an automatic system with advanced image processing algorithms and user-friendly interfaces for liver graft volumetry and evaluate its accuracy and efficiency in comparison with a manual tracing method. METHODS: The proposed system provides a sequential procedure consisting of (1) liver segmentation, (2) blood vessel segmentation, and (3) virtual liver resection for liver graft volumetry...
May 2018: Computer Methods and Programs in Biomedicine
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