Lithiasis-induced acute kidney injury: Is ultrasonography enough?

Obstructive acute kidney injury(AKI) is relatively common, reported in 8% to 17% of cases presenting with community-acquired AKI. It is more frequent in males of advanced age, usually from bladder outlet obstruction. Guidelines recommend imaging, namely a renal tract ultrasound (US), within 24 hours from admission to rule-out obstruction and guarantee recovery of renal function. Lithiasis is not a common cause of AKI (1\u20132% of obstructive cases) and it is reported that only 0.72% of patients with urinary calculi develop AKI from stones. It is known that US may have difficulties in demonstrating stones-related obstructionand that unenhanced CT ismost sensitive and specific for this purpose. We report therefore the imaging findings in a series of patients with lithiasis-induced AKI to understand the respective roles of these techniques

Mining Spatio-Temporal Datasets: Relevance, Challenges and Current Research Directions

Spatio-temporal data usually records the states over time of an object, an event or a position in space. Spatio-temporal data can be found in several application fields, such as traffic management, environment monitoring, weather forerast, etc. In the past, huge effort was devoted to spatial data representation and manipulation with particular focus on its visualisation. More recently, the interest of many users has shifted from static views of geospatial phenomena, which capture its “spatiality” only, to more advanced means of discovering dynamic relationships among the patterns and events contained in the data as well as understanding the changes occurring in spatial data over time

Autologous Hematopoietic Stem Cell Transplantation (AHSCT): Standard of Care for Relapsing–Remitting Multiple Sclerosis Patients

Abstract Autologous hematopoietic stem cell transplantation (AHSCT) has been used in the treatment of highly active multiple sclerosis (MS) for over two decades. It has been demonstrated to be highly efficacious in relapsing–remitting (RR) MS patients failing to respond to disease-modifying drugs (DMDs). AHSCT guarantees higher rates of no evidence of disease activity (NEDA) than those achieved with any other DMDs, but it is also associated with greater short-term risks which have limited its use. In the 2019 updated EBMT and ASBMT guidelines, which review the clinical evidence of AHSCT in MS, AHSCT indication for highly active RRMS has changed from “clinical option” to “standard of care”. On this basis, AHSCT must be proposed on equal footing with second-line DMDs to patients with highly active RRMS, instead of being considered as a last resort after failure of all available treatments. The decision-making process requires a close collaboration between transplant hematologists and neurologists and a full discussion of risk–benefit of AHSCT and alternative treatments. In this context, we propose a standardized protocol for decision-making and informed consent process

A 6-DIMENSIONAL HILBERT APPROACH TO INDEX FULL WAVEFORM LiDAR DATA IN A DISTRIBUTED COMPUTING ENVIRONMENT

Laser scanning data are increasingly available across the globe. To maximize the data's usability requires proper storage and indexing. While significant research has been invested in developing storage and indexing solutions for laser scanning point clouds (i.e. using the discrete form of the data), little attention has been paid to developing equivalent solutions for full waveform (FWF) laser scanning data, especially in a distributed computing environment. Given the growing availability of FWF sensors and datasets, FWF data management solutions are increasingly needed. This paper presents an attempt towards establishing a scalable solution for handling large FWF datasets by introducing the distributed computing solution for FWF data. The work involves a FWF database built atop HBase – the distributed database system running on Hadoop commodity clusters. By combining a 6-dimensional (6D) Hilbert spatial code and a temporal index into a compound indexing key, the database system is capable of supporting multiple spatial, temporal, and spatio-temporal queries. Such queries are important for FWF data exploration and dissemination. The proposed spatial decomposition at a fine resolution of 0.05 m allows the storage of each LiDAR FWF measurement (i.e. pulse, waves, and points) on a single row of the database, thereby providing the full capabilities to add, modify, and remove each measurement record anatomically. While the feasibility and capabilities of the 6D Hilbert solution are evident, the Hilbert decomposition is not due to the complications from the combination of the data’s high dimensionality, fine resolution, and large spatial extent. These factors lead to a complex set of both attractive attributes and limitation in the proposed solution, which are described in this paper based on experimental tests using a 1.1 billion pulse LiDAR scan of a portion of Dublin, Ireland

The added value of simultaneous palpation during scrotal ultrasound

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Multi-Modal Spatial Querying

This project investigates the use of two concurrent communication channels, graphics and speech, to achieve a successful interaction between a person and a geographic information system (GIS). The objective is to construct a multi-modal spatial query language in which users interact with a geographic database by drawing sketches of the desired configuration, while simultaneously talking about the spatial objects and the spatial relations drawn. This study will increase our understanding of multi-modal spatial interactions, and will lead to improved strategies for intelligent integration and processing of such multi-modal spatial queries in a GIS. The key to this interaction is the exploitation of complementary or redundant information present in both graphical and verbal descriptions of the same spatial scenes. A multiple-resolution model of spatial relations is used to capture the essential aspects of a sketch and its corresponding verbal description. The model stresses topological properties, such as containment and neighborhood, and considers metrical properties, such as distance and directions, as refinements where necessary. This model enables the retrieval of similar, not only exact, matches between a spatial query and a geographic database. Such new methods of multi-modal spatial querying and spatial similarity retrieval will empower experts as well as novice users to perform easier spatial searches, ultimately providing new user communities access to spatial databases