Showing 3 results for Mohamed
Abdalla Mohamed, Mohammed Abdelmotalab, Mohamed Elbasheir,
Volume 10, Issue 4 (11-2024)
Abstract
Background & Aims: Malaria is a febrile illness with an incubation period of one week or more. Plasmodium falciparum is responsible for the most severe forms. So, this cross-sectional hospital-based study conducted to determine the association between ABO blood group and Plasmodium falciparum infection.
Materials & Methods: The study was carried out in three different clinics: Rota Clinic, Military Hospital, and Bahri Hospital in Khartoum states, Sudan. The study was conducted from May to August 2017. The sample size investigated was 580 subjects, with 200 subjects found to have a positive malaria infection (80 females and 120 males).
Result: The results of this study revealed an overall infection rate of 34.4%. The prevalence rates reported in Military Hospital, Bahri Hospital, and Rota Clinic were 37.1%, 34.7%, and 28.2%, respectively. The study results showed that the highest prevalence rate (60%) was among males, while rate in females was 40%. The highest prevalence rate (32%) was reported among the age group 16-30 years old, and the lowest rate (13%) was among the age group 1-15 years old. The investigation revealed that the highest prevalence rate (58%) was among the O blood group, and the lowest prevalence rate (8%) was among the AB blood group. High parasitemia was strictly confined to A and B and low parasitemia in O blood group.
Conclusion: Although the results showed relation of the disease with blood group, sex, and age group, further research with more population is necessary to add more information about the role of ABO blood groups in Plasmodium falciparum malaria and to contribute to malaria prevention.
Hiba Omer Abdelrhman Hussein, Sababil Salih Abdalla, Sakeena Noureldine Salih, Abdelkarim A. Abdrabo, Mohamed Abdelgadir Mahdi,
Volume 10, Issue 4 (11-2024)
Abstract
Background & Aims: Type 1 diabetes mellitus (T1DM) is an autoimmune condition characterized by the destruction of pancreatic β-cells. While environmental factors and autoantibodies play a role, genetic predisposition, particularly involving HLA class II alleles (DR and DQ), is significant. This study aimed to evaluate the frequency of DRB1 and DQB1 genotypes associated with T1D, with a focus on gender differences.
Materials & Methods: A total of 187 Sudanese subjects, aged 5 to 18 years, were enrolled, including 87 T1D cases and 100 non-diabetic controls. The study was conducted in diabetes hospitals in Khartoum State. HLA gene polymorphisms were assessed using the allele-specific refractory mutation system-polymerase chain reaction (ARMS-PCR) method.
Results: Genotype frequencies for C/C, G/G, and G/C were 11.8%, 66.7%, and 21.6% in females, and 10.2%, 67.3%, and 22.4% in males, respectively. Statistical analysis showed no significant gender-related differences in genotype distributions (Chi-square,
p = 0.968).
Conclusion: The study found no significant association between genotype distributions and gender in Sudanese children with T1D. This suggests that gender does not significantly influence the distribution of DRB1 and DQB1 genotypes related to T1D in the study population.
Sakarie Mustafe Hidig, Hannan Samtar, Fidele Kakule Kitaghenda, Mohamed Abdifatah Mohamed,
Volume 11, Issue 1 (1-2025)
Abstract
Background & Aims: Hepatocellular carcinoma (HCC) is a major global health concern, ranking sixth among prevalent cancers worldwide and third in cancer-related deaths. Despite diagnostic advancements, prognosis remains challenging. Traditional methods rely on postoperative pathology, limiting preoperative decision-making. Radiomics offers a solution by extracting imaging data to predict outcomes before surgery, aiding personalized treatment decisions.
Materials & Methods: A PubMed search spanning from May 2019 to June 2024 was conducted to identify relevant peer-reviewed articles using the keywords: "radiomics," "MRI," "hepatocellular carcinoma," "HCC," "radiomics features," "liver cancer imaging," "tumor segmentation," "treatment response," and "HCC prognosis." The search yielded a total of 850 articles. After an initial screening based on titles and abstracts, 150 full-text articles were reviewed, and 35 articles were selected for inclusion in this review. The review focused on highlighting the utility of radiomics features on MRI across various aspects of HCC management.
Results: This review highlights MRI radiomics' extensive utility in managing HCC. It aids in diagnosis, treatment decision-making, and prognosis prediction by analyzing imaging data noninvasively. MRI radiomics informs differential diagnosis, histological grading, microvascular invasion assessment, gene expression prediction, therapeutic monitoring, and prognostic evaluation. Its transformative potential offers clinicians a comprehensive toolset for personalized care and improved patient outcomes in HCC management.
Conclusion: MRI radiomics holds promise as a noninvasive tool for improving the diagnosis and treatment of HCC. Its ability to extract comprehensive imaging data enables clinicians to make personalized treatment decisions, potentially improving patient outcomes. Further research and clinical validation are warranted to fully integrate MRI radiomics into routine clinical practice for HCC management.
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