scholarly journals Classification and Radiological Diagnosis of Thoracolumbar Spine Fractures: WFNS Spine Committee Recommendations

Neurospine ◽  
2021 ◽  
Vol 18 (4) ◽  
pp. 656-666
Author(s):  
Abdul Hafid Bajamal ◽  
Khrisna Rangga Permana ◽  
Muhammad Faris ◽  
Mehmet Zileli ◽  
Nikolay A. Peev

The aim of this review to determine recommendations for classification and radiological diagnosis of thoracolumbar spine fractures. Recommendation was made through a literature review of the last 10 years. The statements created by the authors were discussed and voted on during 2 consensus meetings organized by the WFNS (World Federation Neurosurgical Societies) Spine Committee. The literature review was yielded 256 abstracts, of which 32 were chosen for full-text analysis. Thirteen papers evaluated the reliability of a classification system by our expert members and were also chosen in this guideline analysis. This literature review-based recommendation provides the classification and radiologic diagnosis in thoracolumbar spine fractures that can elucidate the management decision-making in clinical practice.

Neurospine ◽  
2021 ◽  
Vol 18 (4) ◽  
pp. 704-712
Author(s):  
Mehmet Zileli ◽  
Salman Sharif ◽  
Maurizio Fornari

This review aims to search the epidemiology and incidence rates of thoracolumbar spine fractures. A systematic review of the literature of the last 10 years gave 586 results with “incidence,” and 387 results with “epidemiology,” of which 39 papers were analyzed. The review results were discussed and voted in 2 consensus meetings of the WFNS (World Federation of Neurosurgical Societies) Spine Committee. Out of 39 studies, 15 studies have focused on thoracolumbar trauma, remaining 24 studies have looked at all spine trauma. Most were retrospective in nature; few were prospective and multicenter. Some studies have focused on specific injuries. The annual incidence of TL fractures is about 30/100,000 inhabitants including osteoporotic fractures. There is a trend to increase the fractures in elderly population especially in developed countries, while an increase of motor vehicle accidents in developing countries. The mortality rate among male elderly patients is relatively high. The incidence of thoracolumbar spine fractures is increasing because of low-velocity falls in the elderly population. The main reasons are falls and traffic accidents. Learning the regional differences and some special forms of trauma such as extreme sports, war, and gunshot injuries will help the prevention of the thoracolumbar spine fractures.


Author(s):  
M. Hirschfeld ◽  
M. Rodriguez ◽  
A.M. Cerván ◽  
J.A. Ortega ◽  
F. Rivas-Ruiz ◽  
...  

TRAUMA ◽  
2017 ◽  
Vol 18 (4) ◽  
pp. 82-87
Author(s):  
K.A. Popsuyshapka ◽  
M.Yu. Karpinskiy ◽  
S.A. Teslenko ◽  
E.D. Karpinska ◽  
A.I. Popov

Spine ◽  
2018 ◽  
Vol 43 (2) ◽  
pp. 141-147 ◽  
Author(s):  
Peter Vorlat ◽  
Geert Leirs ◽  
Farhad Tajdar ◽  
Heinz Hulsmans ◽  
Hugo De Boeck ◽  
...  

2021 ◽  
Vol 20 (8) ◽  
pp. 1574-1594
Author(s):  
Aleksandr R. NEVREDINOV

Subject. When evaluating enterprises, maximum accuracy and comprehensiveness of analysis are important, although the use of various indicators of organization’s financial condition and external factors provide a sufficiently high accuracy of forecasting. Many researchers are increasingly focusing on the natural language processing to analyze various text sources. This subject is extremely relevant against the needs of companies to quickly and extensively analyze their activities. Objectives. The study aims at exploring the natural language processing methods and sources of textual information about companies that can be used in the analysis, and developing an approach to the analysis of textual information. Methods. The study draws on methods of analysis and synthesis, systematization, formalization, comparative analysis, theoretical and methodological provisions contained in domestic and foreign scientific works on text analysis, including for purposes of company evaluation. Results. I offer and test an approach to using non-numeric indicators for company analysis. The paper presents a unique model, which is created on the basis of existing developments that have shown their effectiveness. I also substantiate the use of this approach to analyze a company’s condition and to include the analysis results in models for overall assessment of the state of companies. Conclusions. The findings improve scientific and practical understanding of techniques for the analysis of companies, the ways of applying text analysis, using machine learning. They can be used to support management decision-making to automate the analysis of their own and other companies in the market, with which they interact.


2009 ◽  
Vol 67 (5) ◽  
pp. 1027-1032 ◽  
Author(s):  
Martin H. Pouw ◽  
Jaap Deunk ◽  
Monique Brink ◽  
Helena M. Dekker ◽  
Digna R. Kool ◽  
...  

2017 ◽  
Vol 17 (2) ◽  
pp. 161-167 ◽  
Author(s):  
Ido Stahl ◽  
Daniel Dreyfuss ◽  
Dror Ofir ◽  
Lior Merom ◽  
Michael Raichel ◽  
...  

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