Data discovery with DATS: exemplar adoptions and lessons learned
AbstractThe DAta Tag Suite (DATS) is a model supporting dataset description, indexing, and discovery. It is available as an annotated serialization with schema.org, a vocabulary used by major search engines, thus making the datasets discoverable on the web. DATS underlies DataMed, the National Institutes of Health Big Data to Knowledge Data Discovery Index prototype, which aims to provide a “PubMed for datasets.” The experience gained while indexing a heterogeneous range of >60 repositories in DataMed helped in evaluating DATS ’s entities, attributes, and scope. In this work, 3 additional exemplary and diverse data sources were mapped to DATS by their representatives or experts, offering a deep scan of DATS fitness against a new set of existing data. The procedure, including feedback from users and implementers, resulte d in DATS implementation guidelines and best practices, and identification of a path for evolving and optimizing the model. Finally, the work exposed additional needs when defining datasets for indexing, especially in the context of clinical and observational information.
CONCLUSIONS: Immunohistochemistry seems to be a promising option not only in clinical recognition, but also in the selection and monitoring of treatment effects. However, these methods have not yet recommended for routine clinical use. PMID: 33032462 [PubMed - as supplied by publisher]
CONCLUSIONS: Paramagnetic rims might be a characteristic MRI finding for MS, and therefore they have potential as an imaging marker for differentially diagnosing MS from NMOSD using 3-T MRI. PMID: 33029961 [PubMed]
From 5G to a fancy scanner
Background: Controversy exists regarding the need for proximal fibular epiphysiodesis in conjunction with proximal tibial epiphysiodesis to prevent relative overgrowth of the fibula. The purpose of this study was to determine the incidence of relative fibular overgrowth in patients who had undergone proximal tibial epiphysiodesis with or without proximal fibular epiphysiodesis to manage leg-length discrepancy. Methods: We identified patients who had undergone proximal tibial epiphysiodesis, with or without concomitant fibular epiphysiodesis, followed to skeletal maturity, and with adequate scanograms to measure tibial...
Conclusions: This study demonstrates that there is minimal error due to image acquisition and measurement when using a biplanar slot scanner. Biplanar slot scanning technology tended to underestimate the size of the marker; however, the least accurate measurements only erred by 1.5% from the true length. This indicates that unlike traditional radiographs the sources of error in biplanar slot scanning images are not due to parallax and are likely due to patient-specific factors and rather than the technology itself.
Statins do not decrease coronary artery calcium (CAC) and may increase existing calcification or its density. Therefore, we examined the prognostic significance of CAC among statin users at the time of CAC scanning.
ConclusionsQuantitative lung CT can automatically identify the nature of lung involvement and quantify the dynamic changes of lung lesions on CT during COVID-19. For patients who recovered from COVID-19, GGO was the predominant imaging feature on the initial CT scan, while GGO and CO were the main appearances at peak stage.
Computed tomography (CT) is a critical imaging modality in the emergency department (ED). Many patient evaluations hinge on CT results, and throughput at the scanner is integral to overall department flow. However, the throughput of a CT scanner is affected by many factors. To run efficiently, image orders need to be placed promptly, lab orders often need to be placed and resulted (i.e. creatinine, hCG), results need to be communicated, scans need to be protocoled, patients need to be transported and scanned, and CT images need to be interpreted.
AbstractPurpose of reviewTo highlight imaging features of coronary artery anomalies, especially those that may require surgical intervention, and review various management options.Recent findingsThe clinical presentation of coronary artery anomalies ranges from clinically silent lesions to those leading to sudden cardiac death. With the evolution and increasing use of advanced imaging techniques such as computed tomography, more cases are being identified on scans either done specifically for this purpose or discovered incidentally. Management decisions can be complex and often require a multidisciplinary approach.SummaryI...
AbstractPurposeTo compare the image quality of brain computed tomography (CT) images reconstructed with deep learning –based image reconstruction (DLIR) and adaptive statistical iterative reconstruction-Veo (ASIR-V).MethodsSixty-two patients underwent routine noncontrast brain CT scans and datasets were reconstructed with 30% ASIR-V and DLIR with three selectable reconstruction strength levels (low, medium, high). Objective parameters including CT attenuation, noise, noise reduction rate, artifact index of the posterior cranial fossa, and contrast-to-noise ratio (CNR) were measured at the levels of the centrum semiov...