Topographical CT-data analysis of the human orbital floor

2007 ◽  
Vol 36 (1) ◽  
pp. 45-53 ◽  
Author(s):  
M.C. Metzger ◽  
R. Schön ◽  
R. Tetzlaf ◽  
N. Weyer ◽  
A. Rafii ◽  
...  
Keyword(s):  
Data Analysis ◽  
Orbital Floor ◽  
Ct Data

scholarly journals What Is the Possible Impact of High Variability of Distal Femoral Geometry on TKA? A CT Data Analysis of 24,042 Knees

2019 ◽  
Vol 477 (3) ◽  
pp. 561-570 ◽  
Author(s):  
Malin Meier ◽  
Sumesh Zingde ◽  
André Steinert ◽  
William Kurtz ◽  
Franz Koeck ◽  
...  
Keyword(s):  
Data Analysis ◽  
High Variability ◽  
Femoral Geometry ◽  
Ct Data

Integration and Data Analysis of Conventional Core Data with NMR and CT Data to Characterize An Evaporitic Carbonate Reservoir.

2016 ◽  
Author(s):  
Daniel Fitzsimons ◽  
Gunnar Oeltzschner ◽  
Christopher Ovens ◽  
Dirk Radies ◽  
Frauke Schulze
Keyword(s):  
Data Analysis ◽  
Carbonate Reservoir ◽  
Core Data ◽  
Ct Data

0106 - ANATOMICAL VARIATIONS IN THE DISTAL FEMUR? A CT DATA ANALYSIS OF 24,042 KNEES

The Knee ◽  
2017 ◽  
Vol 24 (6) ◽  
pp. XIII-XIV
Author(s):  
J. Beckmann ◽  
A.F. Steinert ◽  
W.B. Kurtz
Keyword(s):  
Data Analysis ◽  
Distal Femur ◽  
Anatomical Variations ◽  
Ct Data

High variability of proximal tibial asymmetry and slope: a CT data analysis of 15,807 osteoarthritic knees before TKA

2019 ◽  
Vol 28 (4) ◽  
pp. 1105-1112 ◽  
Author(s):  
Malin Meier ◽  
Sumesh Zingde ◽  
Raymond Best ◽  
Lennart Schroeder ◽  
Johannes Beckmann ◽  
...  
Keyword(s):  
Data Analysis ◽  
High Variability ◽  
Ct Data

scholarly journals Magnesium Sulfate Does Not Increase Ventricular Cerebrospinal Fluid Ionized Magnesium Concentration in Patients with Intracranial Hypertension

Stroke ◽  
2001 ◽  
Vol 32 (suppl_1) ◽  
pp. 375-375
Author(s):  
Randall P Brewer ◽  
Augusto Parra ◽  
Michael B Hopkins ◽  
Cecil O Borel ◽  
James R Reynolds
Keyword(s):  
Cerebrospinal Fluid ◽  
Data Analysis ◽  
Subarachnoid Hemorrhage ◽  
Intracranial Hypertension ◽  
Magnesium Sulfate ◽  
Closed Head Injury ◽  
Magnesium Concentration ◽  
Closed Head ◽  
Ct Data ◽  
Post Hoc

P197 Background: Magnesium sulfate (MgSO4) has attracted interest as a neuroprotective agent during cerebral ischemia. Passage of Mg ion into the CNS has been poorly examined. The present study assessed the passage of ionized (physiologically-active)Mg into the cerebrospinal fluid (CSF) of patients with intracranial hypertension after MgSO4 infusion. Design: After IRB approval, patients requiring CSF drainage received IV MgSO 4 (5g)in 125 cc NS over 30 min. Plasma and CSF samples were taken hourly for 4 hrs. Intraventricular catheter placement was confirmed by CT. Data analysis involved ANOVA followed by Dunnet’s post hoc test for a significant F statistic (p < 0.05). Results: Nine patients (5/4, male/female; mean age=52) with closed head injury (n=3), subarachnoid hemorrhage (n=2), intracerebral hemorrhage (n=2), hydrocephalus (n=1), and subdural hematoma (n=1) were studied. Mean (±SD)Mg values are presented (table). Baseline Mg was higher in CSF. Although plasma Mg increased, CSF Mg was unchanged. Conclusions: Although the CSF to plasma Mg gradient is maintained in patients with intracranial hypertension, intravenous infusion of 5g MgSO4 does not further increase CSF Mg. This suggests systemic infusion of MgSO4 may not be an effective route of administration for neuroprotection.

Novel CT data analysis and visualization techniques for risk assessment and planning of thoracic surgery in oncology patients

2005 ◽  
Vol 1281 ◽  
pp. 783-787
Author(s):  
V. Dicken ◽  
J.-M. Kuhnigk ◽  
L. Bornemann ◽  
S. Zidowitz ◽  
S. Krass ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Data Analysis ◽  
Thoracic Surgery ◽  
Oncology Patients ◽  
Ct Data ◽  
Visualization Techniques

scholarly journals Evaluation of epidemiological risk using contact tracing open data (Preprint)

2021 ◽  
Author(s):  
Simona Concilio ◽  
Luigi Di Biasi ◽  
Francesco Marrafino ◽  
Simona Concilio
Keyword(s):  
Data Analysis ◽  
Open Data ◽  
Real Data ◽  
Security And Privacy ◽  
Contact Tracing ◽  
The Road ◽  
Pearson Coefficient ◽  
Epidemiological Risk ◽  
Contact Data ◽  
Ct Data

BACKGROUND During the 2020s, there was extensive debate about the possible use of contact tracing (CT) for SARS-CoV-2 pandemic containment, and concerns have been raised about data security and privacy. Little has been said about the effectiveness of CT. In this work, we present a real data analysis of a CT experiment conducted in Italy for eight months involving more than 100,000 users. OBJECTIVE We discuss the technical and health aspects of a centralized approach. We show the correlation between the acquired contact data and the number of positives to SARS-CoV-2. We analyze CT data to define population behavior, and we show the potential application of real contact tracing data. METHODS CT data were collected, analyzed, and evaluated on the basis of the duration, persistence and frequency of contacts over several months of observation. A statistical test was conducted to determine whether there is a correlation between indices of behavior calculated from the data and the number of new infections in the population (new positives). RESULTS We evidence a correlation between a weighted measure of contacts with the new positives to the virus (Pearson coefficient = 0.86), paving the road to a better and more accurate data analysis and spread prediction. CONCLUSIONS The data are used to determine the most relevant epidemiological parameters and can be used to develop an agent-based system to simulate the effect of restrictions and vaccinations. Finally, we demonstrated the system's ability to identify the physical locations where the probability of infection is highest. All data collected are available to the scientific community for further analysis.

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