scholarly journals An interactive tool for identifying patient subgroups based on arbitrary characteristics for medical research

2021 ◽  
Vol 7 (1) ◽  
pp. 43-46
Author(s):  
Lena Spitz ◽  
Vanessa M. Swiatek ◽  
Belal Neyazi ◽  
I. Erol Sandalcioglu ◽  
Bernhard Preim ◽  
...  

Abstract We present an analysis tool for subgroup identification in medical research based on feature analysis. Our use case is intracranial aneurysms. In the tool, an aneurysm-of-interest’s most similar aneurysms within a database are found. Similarity is defined via user-selected parameters, which can be entirely arbitrary. Different interactive outputs and visualizations include a heatmap view and a graph, which give an intuitive feedback to support researchers in the consideration of research questions, which in the present use case often relate to rupture risk analysis. The tool was evaluated with a pilot study and phantom database and received favorable results for its requirements of reliability and appropriate and clear outputs.

Author(s):  
Jianping Xiang ◽  
Nicole Varble ◽  
Adnan Siddiqui ◽  
Luca Antiga ◽  
Hui Meng

Neurointerventionists are routinely faced with the dilemma whether or not to treat unruptured intracranial aneurysms. Hemodynamic and morphological characteristics have become important considerations for aneurysm rupture-risk assessment [1]. Clinicians require an integrated tool that analyzes these parameters to help make treatment decisions in clinical workflow, however such a tool does not exist. To this end, Toshiba Stroke and Vascular Research Center (TSVRC) at University at Buffalo and Orobix Srl (Italy) have developed a prototype of a computational workflow system. Termed AView, it is an integrated, image-based vascular analysis tool for rapid assessment of aneurysmal hemodynamics, morphometrics, rupture risk assessment, and treatment planning.


Author(s):  
Sarah Mittenentzwei ◽  
Oliver Beuing ◽  
Belal Neyazi ◽  
I. Erol Sandalcioglu ◽  
Naomi Larsen ◽  
...  

Abstract Purpose Intracranial aneurysms are local dilations of brain vessels. Their rupture, as well as their treatment, is associated with high risk of morbidity and mortality. In this work, we propose shape indices for aneurysm ostia for the rupture risk assessment of intracranial aneurysms. Methods We analyzed 84 middle cerebral artery bifurcation aneurysms (27 ruptured and 57 unruptured) and their ostia, with respect to their size and shape. We extracted 3D models of the aneurysms and vascular trees. A semi-automatic approach was used to separate the aneurysm from its parent vessel and to reconstruct the ostium. We used known indices to quantitatively describe the aneurysms. For the ostium, we present new shape indices: the 2D Undulation Index (UI$$_\mathrm{2D}$$ 2 D ), the 2D Ellipticity Index (EI$$_\mathrm{2D}$$ 2 D ) and the 2D Noncircularity Index (NCI$$_\mathrm{2D}$$ 2 D ). Results were analyzed using the Student t test, the Mann–Whitney U test and a correlation analysis between indices of the aneurysms and their ostia. Results Of the indices, none was significantly associated with rupture status. Most aneurysms have an NCI$$_\mathrm{2D}$$ 2 D below 0.2. Of the aneurysms that have an NCI$$_\mathrm{2D}$$ 2 D above 0.5, only one is ruptured, which indicates that ruptured aneurysms often have a circular-shaped ostium. Furthermore, the ostia of ruptured aneurysms tend to have a smaller area, which is also correlated with the aneurysm’s size. While also other variables were significantly correlated, strong linear correlations can only be seen between the area of the ostium with the aneurysm’s volume and surface. Conclusion The proposed shape indices open up new possibilities to quantitatively describe and compare ostia, which can be beneficial for rupture risk assessment and subsequent treatment decision. Additionally, this work shows that the ostium area and the size of the aneurysm are correlated. Further longitudinal studies are necessary to analyze whether stable and unstable aneurysms can be distinguished by their ostia.


2012 ◽  
Vol 12 (1) ◽  
Author(s):  
Claire Launois ◽  
Coralie Barbe ◽  
Eric Bertin ◽  
Julie Nardi ◽  
Jeanne-Marie Perotin ◽  
...  

2021 ◽  
Author(s):  
András Lánczky ◽  
Balázs Győrffy

UNSTRUCTURED Survival analysis is a cornerstone of medical research enabling the assessment of clinical outcome for disease progression and treatment efficiency. Despite its central importance, neither commonly used spreadsheet software can handle it nor is there a web server for its computation. Here we introduce a web-based tool capable to perform uni- and multivariate Cox proportional hazards survival analysis using data generated by genomic, transcriptomic, proteomic, or metabolomics studies. We implemented different methods to establish cutoff values for trichotomization or for the dichotomization of continuous data. False discovery rate is computed to correct for multiple hypothesis testing. Multivariate analysis option enables comparing omics data with clinical variables. The registration-free web-service is available at https://kmplot.com/custom_data. The tool fills a gap and will be an invaluable help for basic medical and clinical research.


2019 ◽  
Vol 7 (6) ◽  
pp. 373-379 ◽  
Author(s):  
Kadar Nurjaman ◽  
M Sandi Marta ◽  
Anis Eliyana ◽  
Dewi Kurniasari ◽  
Dedeh Kurniasari

Purpose of study: This study examined the usefulness of job characteristics as a technique designed to enhance the effect of proactive behavior and innovate work behavior. Methodology: A field study was conducted with a randomly selected sample of company 145 supervisors of Sharia Bank at West Java Indonesia. This research was used as a quantitative approach to analyze and answer all research questions. And then, hypotheses for direct and moderator effects are tested using hierarchical regression analysis with SPSS as an analysis tool. Result: Results presented that there is a relation between proactive behavior and innovative work behavior. Furthermore, jobs characteristic strengthens the relationship between proactive behavior and innovative work behavior in Sharia Bank. Implications: The strategy of job design utilization with job characteristics can trigger people’s innovation behavior who already have self-initiative and this strategy will succeed in Islamic banks that have employees with high initiative. Novelty/originality: The novelty of this study is the use of job characteristics in strengthening the relationship between proactive behavior and IWB which is very rarely done in banking, especially in Sharia Banking.


Author(s):  
Kristīne Mārtinsone ◽  
Jeļena Ļevina ◽  
Ivans Jānis Mihailovs ◽  
Sandra Hartmane ◽  
Irēna Upeniece

<em>A new profession has been created and is developing in Latvia – a supervisor, and it is important to characterize how its professional basis is created, including the content of the value system. The goal of the pilot study is to characterize the values of the practicing supervisors. This study addresses the following research questions: (a) What are the values of the practicing supervisors? (b) Are there differences between supervisors who practice in different professional fields? and (c) What are the differences of evaluations of importance and attainability of personal values? The participants of this research were 28 supervisors who practice in different professional fields. They filled out an electronic demographic data form online and evaluated the importance and attainability of the offered values on a 5-point Likert scale. The results showed statistically significant differences in the importance of the transcendence value and in the attainability of expediency and practicality value, as well as many differences between the evaluations of importance and attainability of personal values.</em>


2020 ◽  
Author(s):  
Leah P. Macfadyen

Curriculum analysis is a core component of curriculum renewal. Traditional approaches to curriculum analysis are manual, slow and subjective, but some studies have suggested that text analysis might usefully be employed for exploration of curriculum. This concise paper outlines a pilot use case of content analytics to support curriculum review and analysis. I have co-opted Quantext – a relatively user-friendly text analysis tool designed to help educators explore student writing – for analysis of the text content of the 17 courses in our online master’s program. Quantext computed descriptive metrics and readability indices for each course and identified top keywords and ngrams per course. Compilation and comparison of these revealed frequent curricular topics and networks of thematic relationships between courses, in ways that both individual educators and curriculum committees can interpret and use for decision-making. Future Quantext features will allow even more sophisticated identification of curricular gaps and redundancies.


Author(s):  
Ian James Martins

The articles published in Volume 3, Issue 1 maintain the high standards for peer-reviewed journals. These articles are related to Pulmonary Tuberculosis, Animal Models, COVID-19 vaccines, Dentistry Data Analytics, and the Psychosocial Impact of COVID-19 in children. The effort and expertise of these authors contribute to clinical and medical research and is the cornerstone of the scientific process with relevance to peer-review by medical researchers and healthcare professionals. The research questions in these articles are important and appropriate to the journal and adhere to journal standards and to the top 10% of papers published in the medical field.


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