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

VTE risk assessment in cancer

2016 ◽  
Vol 07 (01) ◽  
pp. 20-25
Author(s):  
I. Pabinger ◽  
C. Ay
Keyword(s):  
Risk Assessment ◽  
Cancer Patients ◽  
Medical Oncology ◽  
Clinical Importance ◽  
Cancer Surgery ◽  
Ambulatory Setting ◽  
Oncology Patients ◽  
Related Factors ◽  
Risk Assessment Models ◽  
Increased Risk

SummaryVenous thromboembolism (VTE) in patients with cancer is associated with an increased morbidity and mortality, and its prevention is of major clinical importance. However, the VTE rates in the cancer population vary between 0.5% - 20%, depending on cancer-, treatment- and patient-related factors. The most important contributors to VTE risk are the tumor entity, stage and certain anticancer treatments. Cancer surgery represents a strong risk factor for VTE, and medical oncology patients are at increased risk of developing VTE, especially when receiving chemotherapy or immunomodulatory drugs. Also biomarkers have been investigated for their usefulness to predict risk of VTE (e.g. elevated leukocyte and platelet counts, soluble P-selectin, D-dimer, etc.). In order to identify cancer patients at high risk of VTE and to improve risk stratification, risk assessment models have been developed, which contain both clinical parameters and biomarkers. While primary thromboprophylaxis with lowmolecular- weight-heparin (LMWH) is recommended postoperatively for a period of up to 4 weeks after major cancer surgery, the evidence is less clear for medical oncology patients. Thromboprophylaxis in hospitalized medical oncology patients is advocated, and is based on results of randomized controlled trials which evaluated the efficacy and safety of LMWH for prevention of VTE in hospitalized medically ill patients. In recent trials the benefit of primary thromboprophylaxis in cancer patients receiving chemotherapy in the ambulatory setting has been investigated. However, at the present stage primary thromboprophylaxis for prevention of VTE in these patients is still a matter of debate and cannot be recommended for all cancer outpatients.

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

scholarly journals Examination of the Risk Assessment Levels of Athletes in Different Branches According to Some Variables

2018 ◽  
Vol 6 (10) ◽  
pp. 193
Author(s):  
Abdurrahman Kirtepe
Keyword(s):  
Risk Assessment ◽  
Data Analysis ◽  
Standard Deviation ◽  
Personal Information ◽  
Educational Status ◽  
Analysis Data ◽  
Descriptive Statistics ◽  
Income Status ◽  
Package Program ◽  
Sample Method

In this study, the risk assessment levels of athletes in different branches were examined in terms of various variables. Descriptive scanning model was used in the study. In the research, the survey was completed with a sample method of 105 people. The questionnaire was used as a data collection tool in the research. The questionnaire consists of questions about personal information and the Risk Assessment scale for athletes and coaches. Data analysis was performed in SPSS 21 package program. Descriptive statistics such as frequency, percent, and mean, standard deviation, minimum and maximum were used in data analysis. Data analysis was performed in SPSS 21 package program. Descriptive statistics such as frequency, percent, and mean, standard deviation, minimum and maximum were used in data analysis. As a result of the research, it was determined that the risk assessment perceptions of athletes according to their age, branches, educational status and income status did not differ. As a result of the research, it was determined that the risk assessment perceptions of athletes according to their age, branches, educational status and income status did not differ.

scholarly journals Comparison of Three Methods of Predictive Postoperative FEV1 and DLCO Calculations in Relation to Their Observed Postoperative Values in Lung Resection

2020 ◽  
Keyword(s):  
Risk Assessment ◽  
Data Analysis ◽  
Lung Carcinoma ◽  
Calculation Method ◽  
Lung Resection ◽  
Univariate Analysis ◽  
Lung Lobectomy ◽  
Postoperative Fev1 ◽  
Better Than

Introduction: Three ways of simple calculations (segmental based on 18 segments method, segmental based on 19 segments method and subsegmental method) of predictive postoperative values of FEV1 and DLCO are in use during the preoperative survey for patients planned for lung resection as treatment of lung carcinoma as a part of risk assessment. Hypothesis: Segmental calculation method based on 19 segments is better than subsegmental method and segmental calculation method based on 18 segments in prediction of postoperative values of both FEV1 and DLCO one month after lung lobectomy. Materials and methods: Expected postoperative calculated values of FEV1 and DLCO (two segmental and one subsegmental method) of 52 patients undergone lobectomy are related to real postoperative values for same patients one month after surgery. Results: According to univariate analysis, real values of postoperative DLCO correlate most significantly with ppoDLCO calculated by segmental method (18 segments), but real values of postoperative FEV1 correlate most significantly with ppoFEV1 calculated by 19 overall segments segmental method. Data analysis as well showed that preoperative calculated PpoFEV1 and PpoDLCO underestimate real postoperative values of FEV1 and DLCO one month after lobectomy, but it is not statistically significant. Discussion: Same as contemporary guidelines suggest, ppoFEV1 calculation by 19 segments segmental method seems to be the best choice. PpoDLCO is maybe better to calculate by 18 segments segmental method.

Causal factors and risk assessment of fall accidents in the U.S. construction industry: A comprehensive data analysis (2000–2020)

2022 ◽  
Vol 146 ◽  
pp. 105537
Author(s):  
Yahia Halabi ◽  
Hu Xu ◽  
Danbing Long ◽  
Yuhang Chen ◽  
Zhixiang Yu ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Data Analysis ◽  
Construction Industry ◽  
Causal Factors ◽  
Comprehensive Data ◽  
The U.S ◽  
Fall Accidents

Data Analysis through Visualization

2021 ◽  
pp. 107-132
Author(s):  
Magy Seif El-Nasr ◽  
Truong Huy Nguyen Dinh ◽  
Alessandro Canossa ◽  
Anders Drachen
Keyword(s):  
Data Analysis ◽  
Data Science ◽  
University Of California ◽  
Science Class ◽  
Temporal Data ◽  
Santa Cruz ◽  
State Action ◽  
Spatio Temporal ◽  
Visualization Systems ◽  
Visualization Techniques

This chapter discusses the topic of how one can use visualization techniques to analyze game data. Specifically, the chapter delves into the development of heatmaps to analyze spatio-temporal data. The chapter also discusses spatio-temporal visualizations and state-action transition visualizations. We also discuss two visualization systems that we have developed within the GUII lab: Stratmapper and Glyph. We provide you with a link that allows you to explore the use of these visualizations with real game data. This chapter is written in collaboration with Riddhi Padte and Varun Sriram, based on their work in Dr. Seif El-Nasr’s game data science class at Northeastern University; Erica Kleinman, PhD student at University of California at Santa Cruz; and Andy Bryant, software engineer at GUII Lab. The chapter also includes labs where you get to experience the analysis of game data through visualization.

scholarly journals Perception of nurses about the risk assessment of the low complexity non-referred user

2020 ◽  
Vol 42 ◽  
pp. e47205
Author(s):  
Aline Buriola ◽  
Camilla Passarela Silva ◽  
Eduardo Fuzetto Cazañas ◽  
Tayomara Ferreira Nascimento
Keyword(s):  
Risk Assessment ◽  
Data Analysis ◽  
Low Complexity ◽  
Risk Classification ◽  
Data Organization ◽  
Healthcare Network ◽  
Nurses Perceptions ◽  
The Relationship ◽  
User Assessment

The goal of this study was to assess the perceptions and behaviors of nurses who provide triage with risk assessment to low complexity non-referred patients. The participants of the study were nurses who were performing patients’ triage with risk assessment, and the sample consisted of thirteen participants. The instruments used for the interviews were semi-structured questionnaires related to the characterization of the topic under study. Content analysis, i.e., the method proposed by Bardin, was used for data analysis. For data organization, we used MAXQDA Analytics Pro 2018, a software program that favored the identification between the similarities of the elements and ideas, thus making it possible to reach the cores of meanings. The identified categories were: (a) understanding about the healthcare provided by the emergency/urgency care Network; (b) evaluation of patient triage with risk classification; and (c) difficulties/challenges observed at the institution when providing user assessment with risk classification. It is concluded that nurses’ perceptions regarding the topic under study were linked to the disarticulation of the healthcare Network, the fragility of the relationship between physicians and nurses, and the lack of use of institutional protocols.

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