Articles

Potential Biomarkers for Diagnosis and Prognosis of Acute Myeloid Leukemia

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For many years, cancer has affected the global population from an economic, social and political point of view and, in most cases, it is a malignant tumor with serious consequences for patients. The objective of this study is to answer the potential biomarkers for the diagnosis and prognosis of acute myeloid leukemia. Therefore, this is an exploratory, descriptive bibliographic study with a qualitative approach. The data were collected from a bibliometric survey carried out during a study of scientific production on the proposed topic from 2013 to 2023. After searching for articles, 210 articles were found on the PubMed platform, and no results were found for the key suggested by word in other databases. Among the 210 articles, 28 articles were selected for review. In this way, we seek to analyze which biomarkers have been addressed in the last 10 years in the scientific literature, thus aiming to demonstrate possible targets for new research. We divide our research into genes that are promising biomarkers for diagnosis and/or prognosis and the role of miRNAs as biomarkers.

The Effectiveness of MRI Techniques in Evaluating Multiple Sclerosis Patients

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: Background and objective: Multiple sclerosis (MS) is the most common neurodegenerative disease characterized by multiple focal areas of demyelination called plaques or lesions. The main aim of the study is to evaluate patients with multiple sclerosis disease using MRI technology   and to emphasis the effectiveness of this technology in diagnosis of the disease.

Methods:  This study was conducted in order to better recognition and understanding of MS disorder using radiologic MRI techniques and the main problem is the increase prevalence among public population   . The database registry was limited to hospitalized  patients whom diagnosed with  multiple sclerosis  using MRI techniques  and the population of the study was 80 participants  their age elder than 16 years old  in period from April  to  November  2020 .Normal condition or other neurological disorders were excluded.

Results: The most important results obtained in this study is that it is possible to diagnose Multiple sclerosis patients in an accurate manner using magnetic resonance imaging technology.  The outcome of variable detected prevalence of 80 samples 52.5% of them were male, and 47.5% were female and the big distribution group was 53% aged between 30-39 years. The obtained data also showed that the most affected brain region was periventricular matter with 30%, followed by the frontal lobe with 27.5%. clinical etiology big distribution data were achieved for vision Problems with percentage of   22.5 % followed by Dizziness & vertigo sensation with percentage of 18.7% The MRI techniques showed two appearance of MS lesions and plaques, the most distribution achieved for foci appearance with percentage of 75% and patchy appearance with 25% present.

Conclusion: Although for many years there was awareness of the morbidity and mortality associated with Multiple sclerosis however real progress only comes with the ability to early diagnosis using MRI technology.