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https://www.readbyqxmd.com/read/28214968/piloting-the-use-of-patient-specific-cardiac-models-as-a-novel-tool-to-facilitate-communication-during-cinical-consultations
#1
Giovanni Biglino, Despina Koniordou, Marisa Gasparini, Claudio Capelli, Lindsay-Kay Leaver, Sachin Khambadkone, Silvia Schievano, Andrew M Taylor, Jo Wray
This pilot study aimed to assess the impact of using patient-specific three-dimensional (3D) models of congenital heart disease (CHD) during consultations with adolescent patients. Adolescent CHD patients (n = 20, age 15-18 years, 15 male) were asked to complete two questionnaires during a cardiology transition clinic at a specialist centre. The first questionnaire was completed just before routine consultation with the cardiologist, the second just after the consultation. During the consultation, each patient was presented with a 3D full heart model realised from their medical imaging data...
February 18, 2017: Pediatric Cardiology
https://www.readbyqxmd.com/read/28214395/ossified-dysraphic-hamartoma-with-lipomyelocoele-lipomyelomeningocoele-a-rare-radiological-entity
#2
Sudha Bindu Tirumani, Raghavendra Prasad, Vijaya Kumari Mudunoor, Suman Chandra Aemjal, Harika Tirumani, Saurabh Rohatgi
Traditionally the presence of fat in closed spinal dysraphism has been referred to as spinal lipoma. Recent reports suggest that these spinal lesions are better described as spinal hamartomas due to the unencapsulated and infiltrating nature of the fat and presence of other heterotopic soft tissue. The presence of ossified bone in spinal hamartomas referred to as ossified dysraphic hamartoma, is extremely rare with only three case reports in literature, all associated with lipomyeloceles, none with lipomyelomeningoceles...
January 31, 2017: Clinical Imaging
https://www.readbyqxmd.com/read/28214267/a-japanese-male-with-a-novel-ano5-mutation-with-minimal-muscle-weakness-and-muscle-pain-till-his-late-fifties
#3
Masato Kadoya, Katsuhisa Ogata, Mikiya Suzuki, Yutaka Honma, Kazunari Momma, Kana Yatabe, Takuhisa Tamura, Kenichi Kaida, Naomasa Miyata, Ichizo Nishino, Ikuya Nonaka, Mitsuru Kawai
Limb girdle muscular dystrophy type 2L (LGMD2L) is an adult-onset slowly progressive muscular dystrophy associated with anoctamin 5 (ANO5) gene mutation, mainly reported from Northern and Central Europe. We report the case of a Japanese male patient with a novel homozygous mutation of c.2394dup, p.Arg799Thrfs in ANO5 gene, the second patient in the Asian population. He had had marked elevation of creatine kinase (CK) level for more than 10 years with minimal muscular symptoms consisting of muscle stiffness and occasional cramps, preceding the onset of proximal limb weakness...
January 18, 2017: Neuromuscular Disorders: NMD
https://www.readbyqxmd.com/read/28214089/reliability-of-noncontrast-enhancing-tumor-as-a-biomarker-of-idh1-mutation-status-in-glioblastoma
#4
Arian Lasocki, Alpha Tsui, Frank Gaillard, Mark Tacey, Katharine Drummond, Stephen Stuckey
Isocitrate dehydrogenase 1 (IDH1) mutations in gliomas have been associated with a frontal lobe location and a greater proportion of noncontrast-enhancing tumour (nCET). The purpose of our study was to validate the utility of MRI imaging features in predicting IDH1 mutations in glioblastomas. Pre-operative MRIs of new glioblastoma patients, consisting of at least FLAIR and T1-weighted post-contrast sequences, were reviewed by a neuroradiologist based primarily on the VASARI feature set. IDH1 mutation testing was performed on all patients using immunohistochemistry...
February 14, 2017: Journal of Clinical Neuroscience: Official Journal of the Neurosurgical Society of Australasia
https://www.readbyqxmd.com/read/28214036/impact-of-filling-gas-on-subharmonic-emissions-of-phospholipid-ultrasound-contrast-agents
#5
Emma Kanbar, Damien Fouan, Charles A Sennoga, Alexander A Doinikov, Ayache Bouakaz
Subharmonic signals backscattered from gas-filled lipid-shelled microbubbles have generated significant research interest because they can improve the detection and sensitivity of contrast-enhanced ultrasound imaging. However, the emission of subharmonic signals is strongly characterized by a temporal dependence, the origins of which have not been sufficiently elucidated. The features that influence subharmonic emissions need to be identified not only to better develop next-generation microbubble contrast agents, but also to develop more efficient subharmonic imaging (SHI) modes and therapeutic strategies...
February 14, 2017: Ultrasound in Medicine & Biology
https://www.readbyqxmd.com/read/28213830/recognition-memory-for-low-and-high-frequency-filtered-emotional-faces-low-spatial-frequencies-drive-emotional-memory-enhancement-whereas-high-spatial-frequencies-drive-the-emotion-induced-recognition-bias
#6
Michaela Rohr, Johannes Tröger, Nils Michely, Alarith Uhde, Dirk Wentura
This article deals with two well-documented phenomena regarding emotional stimuli: emotional memory enhancement-that is, better long-term memory for emotional than for neutral stimuli-and the emotion-induced recognition bias-that is, a more liberal response criterion for emotional than for neutral stimuli. Studies on visual emotion perception and attention suggest that emotion-related processes can be modulated by means of spatial-frequency filtering of the presented emotional stimuli. Specifically, low spatial frequencies are assumed to play a primary role for the influence of emotion on attention and judgment...
February 17, 2017: Memory & Cognition
https://www.readbyqxmd.com/read/28213228/smartphone-based-immunosensor-for-ca125-detection
#7
Oana Hosu, Andrea Ravalli, Giuseppe Mattia Lo Piccolo, Cecilia Cristea, Robert Sandulescu, Giovanna Marrazza
In this work, we report the design, the development and the characterization of the analytical performances of a colorimetric smartphone-based immunosensor for the detection of cancer antigen 125 (CA125). The immunosensor was based on a sandwich strategy in which the primary antibody was immobilized by spotting onto the 3D nitrocellulose membrane. The immunospots were subsequently incubated with CA125 solutions, followed by the affinity reaction with a secondary antibody labeled with gold nanoparticles (AuNPs)...
May 1, 2017: Talanta
https://www.readbyqxmd.com/read/28213112/laminar-imaging-of-positive-and-negative-bold-in-human-visual-cortex-at-7t
#8
Alessio Fracasso, Peter R Luijten, Serge O Dumoulin, Natalia Petridou
Deciphering the direction of information flow is critical to understand the brain. Data from non-human primate histology shows that connections between lower to higher areas (e.g. retina→V1), and between higher to lower areas (e.g. V1←V2) can be dissociated based upon the distribution of afferent synapses at the laminar level. Ultra-high field scanners opened up the possibility to image brain structure and function at an unprecedented level of detail. Taking advantage of the increased spatial resolution available, it could theoretically be possible to disentangle activity from different cortical depths from human cerebral cortex, separately studying different compartments across depth...
February 14, 2017: NeuroImage
https://www.readbyqxmd.com/read/28213087/a-rare-case-of-bruns-syndrome-with-bilateral-superior-oblique-palsy-and-dorsal-midbrain-syndrome
#9
Rebika Dhiman, Medha Sharma, Anin Sethi, Sanjay Sharma, Atin Kumar, Rohit Saxena
We report a case of an 11-year-old boy referred for evaluation of esotropia associated with a 4-year history of intermittent headaches and vomiting triggered by sudden movements, such as sneezing and coughing. Magnetic resonance imaging (MRI) performed 3 years previously was reported to be normal. A thorough clinical examination revealed the clinical features of Dorsal midbrain syndrome with Bruns syndrome and bilateral superior oblique palsy. Advanced MRI sequences revealed a freely mobile intraventricular cysticercus causing obstructive panhydrocephalus...
February 14, 2017: Journal of AAPOS: the Official Publication of the American Association for Pediatric Ophthalmology and Strabismus
https://www.readbyqxmd.com/read/28212983/acircularity-index-and-axis-ratio-of-the-foveal-avascular-zone-in-diabetic-eyes-and-healthy-controls-measured-by-optical-coherence-tomography-angiography
#10
Brian D Krawitz, Shelley Mo, Lawrence S Geyman, Steven A Agemy, Nicole K Scripsema, Patricia M Garcia, Toco Y P Chui, Richard B Rosen
Given the complexity of the current system used to stage diabetic retinopathy (DR) and the risks and limitations associated with intravenous fluorescein angiography (IVFA), noninvasive quantification of DR severity is desirable. We examined the utility of acircularity index and axis ratio of the foveal avascular zone (FAZ), metrics that can noninvasively quantify the severity of diabetic retinopathy without the need for axial length to correct for individual retinal magnification. A retrospective review was performed of type 2 diabetics and age-matched controls imaged with optical coherence tomography angiography (OCTA)...
February 14, 2017: Vision Research
https://www.readbyqxmd.com/read/28212982/vision-science-and-adaptive-optics-the-state-of-the-field
#11
Susana Marcos, John S Werner, Stephen A Burns, William H Merigan, Pablo Artal, David A Atchison, Karen M Hampson, Richard Legras, Linda Lundstrom, Geungyoung Yoon, Joseph Carroll, Stacey S Choi, Nathan Doble, Adam M Dubis, Alfredo Dubra, Ann Elsner, Ravi Jonnal, Donald T Miller, Michel Paques, Hannah E Smithson, Laura K Young, Yuhua Zhang, Melanie Campbell, Jennifer Hunter, Andrew Metha, Grazyna Palczewska, Jesse Schallek, Lawrence C Sincich
Adaptive optics is a relatively new field, yet it is spreading rapidly and allows new questions to be asked about how the visual system is organized. The editors of this feature issue have posed a series of question to scientists involved in using adaptive optics in vision science. The questions are focused on three main areas. In the first we investigate the use of adaptive optics for psychophysical measurements of visual system function and for improving the optics of the eye. In the second, we look at the applications and impact of adaptive optics on retinal imaging and its promise for basic and applied research...
February 14, 2017: Vision Research
https://www.readbyqxmd.com/read/28212618/clinical-features-and-outcome-in-patients-with-osseomuscular-type-of-wilson-s-disease
#12
Hao Yu, Juan-Juan Xie, Yu-Chao Chen, Qin-Yun Dong, Yi Dong, Wang Ni, Zhi-Ying Wu
BACKGROUND: Wilson's disease with osseomuscular type is a rare condition, which often lacks typical hepatic and neurological symptoms and causes misdiagnoses easily. During the past 10 years, eight Chinese patients of osseomuscular type of Wilson's disease were identified in our clinic. METHODS: Clinical information was gathered from medical records and follow-ups. The genetic testing was performed in each patient. Serum ceruloplasmin, Kayser-Fleischer rings, liver function, brain magnetic resonance imaging and abdominal ultrasonography were also evaluated...
February 17, 2017: BMC Neurology
https://www.readbyqxmd.com/read/28212290/defining-clinical-response-criteria-and-early-response-criteria-for-precision-oncology-current-state-of-the-art-and-future-perspectives
#13
Vivek Subbiah, Hubert H Chuang, Dhiraj Gambhire, Kalevi Kairemo
In this era of precision oncology, there has been an exponential growth in the armamentarium of genomically targeted therapies and immunotherapies. Evaluating early responses to precision therapy is essential for "go" versus "no go" decisions for these molecularly targeted drugs and agents that arm the immune system. Many different response assessment criteria exist for use in solid tumors and lymphomas. We reviewed the literature using the Medline/PubMed database for keywords "response assessment" and various known response assessment criteria published up to 2016...
February 15, 2017: Diagnostics
https://www.readbyqxmd.com/read/28212114/discriminative-feature-representation-an-effective-postprocessing-solution-to-low-dose-ct-imaging
#14
Yang Chen, Jin Liu, Yining Hu, Jian Yang, Luyao Shi, Huazhong Shu, Zhiguo Gui, Gouenou Coatrieux, Limin Luo
This paper proposes a concise and effective approach termed discriminative feature representation (DFR) for low dose computerized tomography (LDCT) image processing, which is currently a challenging problem in medical imaging field. This DFR method assumes LDCT images as the superposition of desirable high dose CT (HDCT) 3D features and undesirable noise-artifact 3D features (the combined term of noise and artifact features induced by low dose scan protocols), and the decomposed HDCT features are used to provide the processed LDCT images with higher quality...
February 17, 2017: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/28212104/joint-feature-selection-and-classification-for-multilabel-learning
#15
Jun Huang, Guorong Li, Qingming Huang, Xindong Wu
Multilabel learning deals with examples having multiple class labels simultaneously. It has been applied to a variety of applications, such as text categorization and image annotation. A large number of algorithms have been proposed for multilabel learning, most of which concentrate on multilabel classification problems and only a few of them are feature selection algorithms. Current multilabel classification models are mainly built on a single data representation composed of all the features which are shared by all the class labels...
February 14, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28212085/contextual-noise-reduction-for-domain-adaptive-near-duplicate-retrieval-on-merchandize-images
#16
Zhen-Qun Yang, Xiao-Yong Wei, Zhang Yi, Gerald Friedland
In this paper, we have proposed a novel method which utilizes the contextual relationship among visual words for reducing the Quantization errors in near-duplicate image retrieval (NDR). Instead of following the track of conventional NDR techniques which usually search new solutions by borrowing ideas from the text domain, we propose to model the problem back to image domain, which results in a more natural way of solution search. The idea of the proposed method is to construct a context graph that encapsulates the contextual relationship within an image and treat the graph as a pseudo-image, so that classical image filters can be adopted to reduce the mismapped visual words which are contextually inconsistent with others...
February 15, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28212084/objective-quality-assessment-of-screen-content-images-by-uncertainty-weighting
#17
Yuming Fang, Jiebin Yan, Jiaying Liu, Shiqi Wang, Qiaohong Li, Zongming Guo
In this paper, we propose a novel full-reference objective quality assessment metric for screen content images (SCIs) by structure features and uncertainty weighting (SFUW). The input SCI is first divided into textual and pictorial regions. The visual quality of textual regions is estimated based on perceptual structural similarity, where the gradient information is adopted as the structural feature. To predict the visual quality of pictorial regions in SCIs, we extract the structural features and luminance features for similarity computation between the reference and distorted pictorial patches...
February 15, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28212080/improving-registration-robustness-for-image-guided-liver-surgery-in-a-novel-human-to-phantom-data-framework
#18
Jarrod Collins, Jared Weis, Jon Heiselman, Logan Clements, Amber Simpson, Willam Jarnagin, Michael Miga
In open image-guided liver surgery (IGLS), a sparse representation of the intraoperative organ surface can be acquired to drive image-to-physical registration. We hypothesize that uncharacterized error induced by variation in the collection patterns of organ surface data limits the accuracy and robustness of IGLS registration. Clinical validation of such registration methods is challenged due to the difficulty in obtaining data representative of the true state of organ deformation. We propose a novel human-to-phantom validation framework that transforms surface collection patterns from in vivo IGLS procedures (n=13) onto a well-characterized hepatic deformation phantom for the purpose of validating surface-driven, volumetric nonrigid registration methods...
February 13, 2017: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/28212054/machine-learning-for-medical-imaging
#19
Bradley J Erickson, Panagiotis Korfiatis, Zeynettin Akkus, Timothy L Kline
Machine learning is a technique for recognizing patterns that can be applied to medical images. Although it is a powerful tool that can help in rendering medical diagnoses, it can be misapplied. Machine learning typically begins with the machine learning algorithm system computing the image features that are believed to be of importance in making the prediction or diagnosis of interest. The machine learning algorithm system then identifies the best combination of these image features for classifying the image or computing some metric for the given image region...
February 17, 2017: Radiographics: a Review Publication of the Radiological Society of North America, Inc
https://www.readbyqxmd.com/read/28211983/early-embryonic-development-detailed-in-new-digital-atlas-atlas-features-3-d-images-of-human-embryos-helps-chart-growth-rates-of-organs-structures
#20
(no author information available yet)
No abstract text is available yet for this article.
March 2017: American Journal of Medical Genetics. Part A
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