Article Algorithm for an analysis of medical journal’s article.

Article Algorithm for analysis of medical journal articles.

The author of the article.

Article – The name of the author is Jürgen Wallner, Irene Mischak, and Jan Egger.

  • J.W. and J.E. Performed the experiments;
  • J.W. and J.E. Analysed the data;
  • J.W., I.M., and J.E. Contributed reagents/materials/analysis tools;
  • J.W., I.M., and J.E. Wrote the paper: J.W. and J.E.

 

These scientists are a professor in many universities of Austria: –

  1. Department of Oral and Maxillofacial Surgery, Medical University of Graz, Auenbruggerplatz 5/1, 8036 Graz, Austria;
  2. Computer Algorithms for Medicine Laboratory, Graz, Austria;
  3. University Clinic of Dental Medicine and Oral Health, Medical University of Graz, Billrothgasse 4, 8010 Graz, Austria;
  4. Institute for Computer Graphics and Vision, Graz University of Technology, Inffeldgasse 16c/II, 8010 Graz, Austria
No, these authors don’t have any similar articles

Output data of Article – 

This article is published on 29 January 2019, article was published in the internal review board (IRB) of the Medical University of Graz, Austria. This work received funding from the Austrian Scientific Fund . and these articles are approved by the internal review board of the medical university of Graz Austria. Yes, the source of publication is reliable because the publication occurs on the national publication board of Austria.

Title of article –

The title of the articles is (Computed tomography data collection of the complete human mandible and valid clinical ground truth models). Yes, these articles are understandable because its language is very simple, an explanation of this article is given in a very systemic manner.

The structure of the article and the “language” of the author –

Yes during the author of this article use scientific language/terminology .this article are written by three famous professors of Austria, the name of These professors are Jürgen WallnerIrene Mischak, and Jan Egger. yes this article is understandable, yes this article fulfills the rule scientific article, yes in this article author follow the sequence of the presentation, yes authors also explain the term which uses during these articles

The relevance of the research topic of the article –

the relevance of this topic, In this investigation, the human lower jaw was selected as the anatomical structure of choice because it is the largest and strongest bone in the craniomaxillofacial complex. Furthermore, the lower jaw is of high clinical relevance because it has the highest occurrence of facial fractures in the craniomaxillofacial field, representing approximately 40% of such fractures, and is therefore often involved in traumatic injury. Clinically, the lower jaw is frequently involved in time-consuming trauma cases in which computer-assisted image-based segmentation algorithms are used to support diagnosis and treatment procedures. Yes in this article author define the relevance of research and this method also corresponds to the current state of the issue.

The scientific novelty of the article- 

In the article, the authors tell about Image-based algorithmic software segmentation as an increasingly important topic in many medical fields. Because as we know the image-based is used for medical three-dimensional visualization, diagnosis, or treatment support, especially in complex medical cases. Yes, this article contributes to science because this article tells about how future medical treatment will be.

Objectivity and representativeness of materials selected for research into this article –

The objective of this research is how we can study, In the field of craniomaxillofacial surgery, this approach is used for complex facial bone trauma, trauma-related or congenital craniomaxillofacial deformities, and orthognathic surgery.

Study design and research methods in the article –

YES, this is fulfilling the all needs which are required for the study of the article; in this condition author use
1) Data selection
2) 3-D ground truth segmentation
3) Segmentation workflow
4) Statistical methods – In this condition Descriptive statistical calculations were used to summarize the measurements made from the 3D models, including minimum values, maximum values, mean values, and standard deviations for each of the five parameters.

The validity of conclusions of the article-

YES, in this article’s conclusion of authors relevant, yes in this article the conclusions consistent with the goals at the beginning of the articles.

Theoretical and practical significance – 

The Theoretical and practical significance OF this article is, the software programs for processing medical image data have become a central tool in many medical disciplines and are subject to continuous ongoing technological developments. This is especially true because the total number of data sets has increased with the wider application of image-processing techniques in most clinical centers, the improving resolution of new image scanner generations has allowed medical image data sets to more accurately record anatomy, and the time required to computationally reconstruct image data has been reduced. Clinically, the produced data can be used for image-based 3D visualizations of complex anatomical structures to support medical diagnosis and/or therapeutic planning procedures. In the field of craniomaxillofacial surgery, this approach is used for complex facial bone trauma, trauma-related or congenital craniomaxillofacial deformities, and orthognathic surgery.

Review of literature – 

This study was to review the literature regarding the evolution of current thoughts on the fixation of mandibular angle fractures (MAFs), based on in vitro biomechanical assessments and computer-based studies.

Conclusion – 

In conclusion, it is necessary to summarize the results of the analysis;

The osteosynthesis positions as well as the plating technique play important roles in the stability of MAF repair. The only in vitro study evaluating the use of wire osteosynthesis concluded that wires placed through the lower border approach would provide greater stability than those at the upper border. Many studies indicate that the use of two mini plates avoids (or decreases) lateral displacement of the lower mandibular border and opening of the inferior fracture gap. Some studies even suggest that the use of two mini plates may be considered a more “rigid” fixation technique for MAFs than the use of a reconstruction plate. Therefore, improvements in the software used for 3D reconstruction and volume rendering generated by image-based segmentation algorithms are needed. Image-based segmentation methods are algorithmic software tools used for radiological image data. These image data mostly originate from computed tomography (CT) data sets.
In the craniomaxillofacial (or head and neck) complex, automated and/or semi-automated segmentation techniques have previously been used for the lower jaw to investigate their use in clinical diagnosis and treatment support

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