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Imaging informatics

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https://www.readbyqxmd.com/read/29756020/multicenter-prospective-evaluation-of-the-express-view-reading-mode-for-small-bowel-capsule-endoscopy-studies
#1
Jean-Christophe Saurin, Philippe Jacob, Laurent Heyries, Christian Pesanti, Franck Cholet, Isaac Fassler, James Boulant, Slim Bramli, Antoin De Leusse, Gabriel Rahmi
Background:  Reducing the reading time of capsule endoscopy films is of high priority for gastroenterologists. We report a prospective multicenter evaluation of an "express view" reading mode (Intromedic capsule system). Methods:  Eighty-three patients with obscure gastrointestinal bleeding were prospectively included in 10 centers. All patients underwent small-bowel capsule endoscopy (Intromedic, Seoul, Republic of Korea). Films were read in standard mode, then a second reading was performed in express view mode at a second center...
May 2018: Endoscopy International Open
https://www.readbyqxmd.com/read/29751857/residency-mini-fellowships-in-the-pgy-5-year-is-there-added-value
#2
Anuradha S Shenoy-Bhangle, Ronald L Eisenberg, Tabitha Fineberg, Priscilla J Slanetz
RATIONALE AND OBJECTIVES: With the restructuring of radiology board certification, many residencies created PGY-5 "mini-fellowships," during which residents spend focused time pursuing advanced subspecialty training or developing nonclinical skills in leadership, health policy and health-care economics, education, quality improvement, informatics, research, or global health. We surveyed graduates of an academic diagnostic radiology residency to assess the relative value and impact of PGY-5 mini-fellowships on career satisfaction and success...
June 2018: Academic Radiology
https://www.readbyqxmd.com/read/29748851/a-platform-for-innovation-and-standards-evaluation-a-case-study-from-the-openmrs-open-source-radiology-information-system
#3
Judy W Gichoya, Marc Kohli, Larry Ivange, Teri S Schmidt, Saptarshi Purkayastha
Open-source development can provide a platform for innovation by seeking feedback from community members as well as providing tools and infrastructure to test new standards. Vendors of proprietary systems may delay adoption of new standards until there are sufficient incentives such as legal mandates or financial incentives to encourage/mandate adoption. Moreover, open-source systems in healthcare have been widely adopted in low- and middle-income countries and can be used to bridge gaps that exist in global health radiology...
May 10, 2018: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/29728325/science-to-practice-it-solutions-to-drive-standardized-report-recommendations-for-abdominal-aortic-aneurysm-surveillance
#4
Danny C Kim, Edward H Herskovits, Pamela T Johnson
Inadequate imaging surveillance has been identified as the most significant contributor to abdominal aortic aneurysm (AAA) rupture. Radiologists can contribute value to patient care and reduce morbidity and mortality related to AAA by incorporating evidence-based management recommendations from the ACR and Society of Vascular Surgery into their report impression. The challenges lie in achieving 100% radiologist compliance to incorporate the recommendations and ensuring that the patient is notified by their provider, the follow-up examination is scheduled, and the patient returns for an imaging test that may be scheduled 3 to 5 years in the future...
May 2, 2018: Journal of the American College of Radiology: JACR
https://www.readbyqxmd.com/read/29725963/patient-centered-radiology-with-fhir-an-introduction-to-the-use-of-fhir-to-offer-radiology-a-clinically-integrated-platform
#5
Peter I Kamel, Paul G Nagy
Fast Healthcare Interoperability Resources (FHIR) is an open interoperability standard that allows external software to quickly search for and access clinical information from the electronic medical record (EMR) in a method that is developer-friendly, using current internet technology standards. In this article, we highlight the new FHIR standard and illustrate how FHIR can be used to offer the field of radiology a more clinically integrated and patient-centered system, opening the EMR to external radiology software in ways unfeasible with traditional standards...
May 3, 2018: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/29725961/hello-world-deep-learning-in-medical-imaging
#6
Paras Lakhani, Daniel L Gray, Carl R Pett, Paul Nagy, George Shih
There is recent popularity in applying machine learning to medical imaging, notably deep learning, which has achieved state-of-the-art performance in image analysis and processing. The rapid adoption of deep learning may be attributed to the availability of machine learning frameworks and libraries to simplify their use. In this tutorial, we provide a high-level overview of how to build a deep neural network for medical image classification, and provide code that can help those new to the field begin their informatics projects...
May 3, 2018: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/29710185/accuracy-and-reliability-of-eye-based-vs-quadrant-based-diagnosis-of-plus-disease-in-retinopathy-of-prematurity
#7
Sang Jin Kim, J Peter Campbell, Jayashree Kalpathy-Cramer, Susan Ostmo, Karyn E Jonas, Dongseok Choi, R V Paul Chan, Michael F Chiang
Importance: Presence of plus disease in retinopathy of prematurity is the most critical element in identifying treatment-requiring disease. However, there is significant variability in plus disease diagnosis. In particular, plus disease has been defined as 2 or more quadrants of vascular abnormality, and it is not clear whether it is more reliably and accurately diagnosed by eye-based assessment of overall retinal appearance or by quadrant-based assessment combining grades of 4 individual quadrants...
April 26, 2018: JAMA Ophthalmology
https://www.readbyqxmd.com/read/29653352/online-molecular-image-repository-and-analysis-system-a-multicenter-collaborative-open-source-infrastructure-for-molecular-imaging-research-and-application
#8
Mahabubur Rahman, Hiroshi Watabe
Molecular imaging serves as an important tool for researchers and clinicians to visualize and investigate complex biochemical phenomena using specialized instruments; these instruments are either used individually or in combination with targeted imaging agents to obtain images related to specific diseases with high sensitivity, specificity, and signal-to-noise ratios. However, molecular imaging, which is a multidisciplinary research field, faces several challenges, including the integration of imaging informatics with bioinformatics and medical informatics, requirement of reliable and robust image analysis algorithms, effective quality control of imaging facilities, and those related to individualized disease mapping, data sharing, software architecture, and knowledge management...
April 4, 2018: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29621387/diagnostic-accuracy-of-ophthalmoscopy-vs-telemedicine-in-examinations-for-retinopathy-of-prematurity
#9
Hilal Biten, Travis K Redd, Chace Moleta, J Peter Campbell, Susan Ostmo, Karyn Jonas, R V Paul Chan, Michael F Chiang
Importance: Examinations for retinopathy of prematurity (ROP) are typically performed using binocular indirect ophthalmoscopy. Telemedicine studies have traditionally assessed the accuracy of telemedicine compared with ophthalmoscopy as a criterion standard. However, it is not known whether ophthalmoscopy is truly more accurate than telemedicine. Objective: To directly compare the accuracy and sensitivity of ophthalmoscopy vs telemedicine in diagnosing ROP using a consensus reference standard...
April 5, 2018: JAMA Ophthalmology
https://www.readbyqxmd.com/read/29567376/the-adolescent-brain-cognitive-development-abcd-study-imaging-acquisition-across-21-sites
#10
REVIEW
B J Casey, Tariq Cannonier, May I Conley, Alexandra O Cohen, Deanna M Barch, Mary M Heitzeg, Mary E Soules, Theresa Teslovich, Danielle V Dellarco, Hugh Garavan, Catherine A Orr, Tor D Wager, Marie T Banich, Nicole K Speer, Matthew T Sutherland, Michael C Riedel, Anthony S Dick, James M Bjork, Kathleen M Thomas, Bader Chaarani, Margie H Mejia, Donald J Hagler, M Daniela Cornejo, Chelsea S Sicat, Michael P Harms, Nico U F Dosenbach, Monica Rosenberg, Eric Earl, Hauke Bartsch, Richard Watts, Jonathan R Polimeni, Joshua M Kuperman, Damien A Fair, Anders M Dale
The ABCD study is recruiting and following the brain development and health of over 10,000 9-10 year olds through adolescence. The imaging component of the study was developed by the ABCD Data Analysis and Informatics Center (DAIC) and the ABCD Imaging Acquisition Workgroup. Imaging methods and assessments were selected, optimized and harmonized across all 21 sites to measure brain structure and function relevant to adolescent development and addiction. This article provides an overview of the imaging procedures of the ABCD study, the basis for their selection and preliminary quality assurance and results that provide evidence for the feasibility and age-appropriateness of procedures and generalizability of findings to the existent literature...
March 14, 2018: Developmental Cognitive Neuroscience
https://www.readbyqxmd.com/read/29536934/improving-diagnosis-in-health-care-perspectives-from-the-american-college-of-radiology
#11
REVIEW
Bibb Allen, Mythreyi Chatfield, Judy Burleson, William T Thorwarth
In September of 2014, the American College of Radiology joined a number of other organizations in sponsoring the 2015 National Academy of Medicine report, Improving Diagnosis In Health Care. Our presentation to the Academy emphasized that although diagnostic errors in imaging are commonly considered to result only from failures in disease detection or misinterpretation of a perceived abnormality, most errors in diagnosis result from failures in information gathering, aggregation, dissemination and ultimately integration of that information into our patients' clinical problems...
September 26, 2017: Diagnosis
https://www.readbyqxmd.com/read/29528822/multimedia-enhanced-radiology-reports-concept-components-and-challenges
#12
Les R Folio, Laura B Machado, Andrew J Dwyer
Multimedia-enhanced radiology report (MERR) development is defined and described from an informatics perspective, in which the MERR is seen as a superior information-communicating entity. Recent technical advances, such as the hyperlinking of report text directly to annotated images, improve MERR information content and accessibility compared with text-only reports. The MERR is analyzed by its components, which include hypertext, tables, graphs, embedded images, and their interconnections. The authors highlight the advantages of each component for improving the radiologist's communication of report content information and the user's ability to extract information...
March 2018: Radiographics: a Review Publication of the Radiological Society of North America, Inc
https://www.readbyqxmd.com/read/29512494/a-novel-fuzzy-rough-selection-of-non-linearly-extracted-features-for-schizophrenia-diagnosis-using-fmri
#13
Akanksha Juneja, Bharti Rana, R K Agrawal
BACKGROUND AND OBJECTIVES: Schizophrenia is a severe brain disorder primarily diagnosed through externally observed behavioural symptoms due to the dearth of established clinical tests. Functional magnetic resonance imaging (fMRI) can capture the distortions caused by schizophrenia in the brain activation. Hence, it can be useful for developing a decision model that performs computer-aided diagnosis of schizophrenia. But, fMRI data is huge in dimension. Therefore dimension reduction is indispensable...
March 2018: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/29500026/critical-care-health-informatics-collaborative-cchic-data-tools-and-methods-for-reproducible-research-a-multi-centre-uk-intensive-care-database
#14
Steve Harris, Sinan Shi, David Brealey, Niall S MacCallum, Spiros Denaxas, David Perez-Suarez, Ari Ercole, Peter Watkinson, Andrew Jones, Simon Ashworth, Richard Beale, Duncan Young, Stephen Brett, Mervyn Singer
OBJECTIVE: To build and curate a linkable multi-centre database of high resolution longitudinal electronic health records (EHR) from adult Intensive Care Units (ICU). To develop a set of open-source tools to make these data 'research ready' while protecting patient's privacy with a particular focus on anonymisation. MATERIALS AND METHODS: We developed a scalable EHR processing pipeline for extracting, linking, normalising and curating and anonymising EHR data. Patient and public involvement was sought from the outset, and approval to hold these data was granted by the NHS Health Research Authority's Confidentiality Advisory Group (CAG)...
April 2018: International Journal of Medical Informatics
https://www.readbyqxmd.com/read/29404851/a-general-framework-for-monitoring-image-acquisition-workflow-in-the-radiology-environment-timeliness-for-acute-stroke-ct-imaging
#15
Timothy P Szczykutowicz, Christina L Brunnquell, Gregory D Avey, Carrie Bartels, Daryn S Belden, Richard J Bruce, Aaron S Field, Walter W Peppler, Peter Wasmund, Gary Wendt
Many facets of an image acquisition workflow leave a digital footprint, making workflow analysis amenable to an informatics-based solution. This paper describes a detailed framework for analyzing workflow and uses acute stroke response timeliness in CT as a practical demonstration. We review methods for accessing the digital footprints resulting from common technologist/device interactions. This overview lays a foundation for obtaining data for workflow analysis. We demonstrate the method by analyzing CT imaging efficiency in the setting of acute stroke...
April 2018: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/29371484/-quantitative-data-analysis-for-live-imaging-of-bone
#16
Shigeto Seno
Bone tissue is a hard tissue, it was difficult to observe the interior of the bone tissue alive. With the progress of microscopic technology and fluorescent probe technology in recent years, it becomes possible to observe various activities of various cells forming bone society. On the other hand, the quantitative increase in data and the diversification and complexity of the images makes it difficult to perform quantitative analysis by visual inspection. It has been expected to develop a methodology for processing microscopic images and data analysis...
2018: Clinical Calcium
https://www.readbyqxmd.com/read/29363432/a-bioinformatics-potpourri
#17
EDITORIAL
Christian Schönbach, Jinyan Li, Lan Ma, Paul Horton, Muhammad Farhan Sjaugi, Shoba Ranganathan
The 16th International Conference on Bioinformatics (InCoB) was held at Tsinghua University, Shenzhen from September 20 to 22, 2017. The annual conference of the Asia-Pacific Bioinformatics Network featured six keynotes, two invited talks, a panel discussion on big data driven bioinformatics and precision medicine, and 66 oral presentations of accepted research articles or posters. Fifty-seven articles comprising a topic assortment of algorithms, biomolecular networks, cancer and disease informatics, drug-target interactions and drug efficacy, gene regulation and expression, imaging, immunoinformatics, metagenomics, next generation sequencing for genomics and transcriptomics, ontologies, post-translational modification, and structural bioinformatics are the subject of this editorial for the InCoB2017 supplement issues in BMC Genomics, BMC Bioinformatics, BMC Systems Biology and BMC Medical Genomics...
January 19, 2018: BMC Genomics
https://www.readbyqxmd.com/read/29359833/functional-connectivity-maps-based-on-hippocampal-and-thalamic-dynamics-may-account-for-the-default-mode-network
#18
Tien-Wen Lee, Shao-Wei Xue
The default-mode network (DMN) has been reported to comprise a set of inter-connected transmodal cortical areas, including the posterior cingulate cortex (PCC), medial prefrontal cortex, posterior inferior parietal lobule, lateral temporal region and others. However, the subcortical constituents of the DMN are still not clear. This study aimed to examine whether the correlation maps derived from subcortical structures may also account for neural pattern of the DMN. Structural magnetic resonance imaging (MRI) and resting-state functional MRI scans of 36 subjects were selected from the Rockland sample (Nathan Kline Institute)...
March 2018: European Journal of Neuroscience
https://www.readbyqxmd.com/read/29347716/inferring-low-dimensional-microstructure-representations-using-convolutional-neural-networks
#19
Nicholas Lubbers, Turab Lookman, Kipton Barros
We apply recent advances in machine learning and computer vision to a central problem in materials informatics: the statistical representation of microstructural images. We use activations in a pretrained convolutional neural network to provide a high-dimensional characterization of a set of synthetic microstructural images. Next, we use manifold learning to obtain a low-dimensional embedding of this statistical characterization. We show that the low-dimensional embedding extracts the parameters used to generate the images...
November 2017: Physical Review. E
https://www.readbyqxmd.com/read/29346031/2016-new-horizons-lecture-beyond-imaging-radiology-of-tomorrow
#20
Hedvig Hricak
This article is based on the New Horizons lecture delivered at the 2016 Radiological Society of North America Annual Meeting. It addresses looming changes for radiology, many of which stem from the disruptive effects of the Fourth Industrial Revolution. This is an emerging era of unprecedented rapid innovation marked by the integration of diverse disciplines and technologies, including data science, machine learning, and artificial intelligence-technologies that narrow the gap between man and machine. Technologic advances and the convergence of life sciences, physical sciences, and bioengineering are creating extraordinary opportunities in diagnostic radiology, image-guided therapy, targeted radionuclide therapy, and radiology informatics, including radiologic image analysis...
March 2018: Radiology
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