5 research outputs found

    Computed tomography features of spontaneous acute intracranial hemorrhages in a tertiary hospital in Southern Ghana

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    Introduction: spontaneous acute intracranial hemorrhage (SICH) accounts for approximately 10-15% of all stroke cases. Early detection by computed tomography (CT) and early treatment are key. Hence this study to examine the CT features of SICH. Methods: this retrospective cohort study reviewed all 435 patients diagnosed with SICH from 1st March, 2017 to 1st January, 2021 in a tertiary facility in Southern Ghana. Data collected (age, sex, SICH type and the CT scan features) were organized and analyzed using GNU PSPP and Libre Office Calc. Statistical significance level was pegged at p≤0.05. Results: the SICH types were acute intracerebral hemorrhage (97.93%), acute subarachnoid/intraventricular hemorrhage (1.15%), acute epidural hemorrhage (0.46%) and acute subdural hemorrhage (0.46%). Acute intracerebral hemorrhage was more common in those >60 years (57.75%, p<0.001). The commonest CT feature for acute intracerebral hemorrhage was hyperdense lesion with perilesional edema (40.98%), with smoking (OR=2.24, 95% CI: 1.14-4.41, p=0.019) and anticoagulants intake (OR=2.56, 95% CI: 1.15-5.72, p=0.022) as the predictive factors; followed by hyperdense lesion extending to the edge of the brain (25.03%), also predictable by smoking (OR=0.23, 95% CI: 0.11-0.47, p<0.001); and hyperdense lesion with mass effects (22.70%) was not predictive with any risk factor. Type 2 diabetes mellitus (60.00%, p<0.001) and smoking (97.83%, p<0.001) were more common in males. Conclusion: hyperdense lesion with perilesional edema was the most frequent CT feature for acute intracerebral hemorrhage and was predictable by smoking and anticoagulants intake. Smoking was a predictive factor to the development of most of the features of acute intracerebral hemorrhage

    Perception of Ghanaian Primigravidas Undergoing Their First Antenatal Ultrasonography in Cape Coast

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    Ultrasound scans have become an essential requirement of pregnancy care in countries with developed health services and increasingly being used in medical practice in Ghana as well. The aim of this study was to find out the perception of primigravidas experiencing antenatal ultrasonography for the first time in Cape Coast. This was a descriptive, prospective study which employed the use of a questionnaire to obtain data from 384 consented respondents, who were primigravidas experiencing antenatal ultrasonography for the first time in three selected public health facilities in Cape Coast Metropolis over a six-month period. Sociodemographic data, reasons for undergoing antenatal ultrasound, their expectations, knowledge in fetal abnormalities, and suggestions to help improve their future experiences were collected. The data were analyzed using SPSS software, version 20.0 (SPSS Inc., Chicago, IL, USA). Out of a total number of 384 respondents, 87.8% of them knew about what ultrasound is used for. 87.5% scanned because a doctor or midwife requested for the scan whilst 53.9% scanned to check for fetal abnormalities. 98.4% indicated that ultrasound scanning has positive effects on pregnancy outcome. An expensive service was stated as a negative reason that would influence the decision to undergo the examination next time; nonetheless, 90.4% would recommend it to other women and suggested showing the fetus on monitor while scanning and providing accurate findings would make their future experiences better. The perception of the primigravidas was largely positive. Checking for fetal abnormalities was a major reason for the scans, although their knowledge in specific fetal abnormalities was low. They expected to know the fetal sex, but that was not a major reason for scanning. Showing them the monitor was the most frequent suggestion to make future experience better

    Age of first diagnosis and incidence rate of uterine fibroids in Ghana. A retrospective cohort study.

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    BackgroundUterine fibroids are benign tumors that grow in or on the uterus of women. Globally, they occur in more than 80% of women of African ancestry and 70% in white women. Uterine fibroid requires much attention because of its high incidence rate among women of all races and ages. This study sought to document the age of first diagnosis and incidence rates of uterine fibroids in our urban setting.MethodsThis study reviewed and analyzed the ages and year of diagnosis of all 2,469 patients with the first diagnosis of uterine fibroids from 1st January 2018 to 31st December 2021 in South-Central Ghana. The obtained data were analyzed using GNU PSPP, Python on Jupyter Notebook and Libre Office Calc with statistical significance level set at p≤0.05.ResultsThe overall average age was 36.29±8.08 years, with age range 17-61 years and the age groups with the highest frequencies were 35-39 years (n = 642, 26.00%), 30-34 years (n = 563, 22.80%) and 40-44 years (n = 381, 15.43%). The mean ages of the patients in 2018, 2019, 2020 and 2021 were 36.70±8.00 years (95%CI = 35.97-37.43), 37.07±7.66 years (95%CI = 36.45-37.70), 35.92±7.87 years (95%CI = 35.30-36.53) and 35.78±8.54 years (95%CI = 35.19-36.38) respectively. The incidence rate (per 100,000) of uterine fibroids in 2018, 2019, 2020 and 2021 were 66.77 (95% CI = 60.63-72.90), 81.86 (95%CI = 75.19-88.58), 85.60 (95%CI = 78.85-92.35) and 92.40 (95%CI = 85.88-98.92) respectively, with 35-39 age group recording the highest in all years.ConclusionThe incidence rate of uterine fibroids increased as the years progressed and it is mostly high in 35-39 years age category, with a decreasing annual mean age trend indicative of early diagnosis

    Perspectives of radiologists in Ghana about the emerging role of artificial intelligence in radiologyKey points

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    Background: The integration of Artificial Intelligence (AI)-based technologies in medicine is advancing rapidly especially in the field of radiology. This however, is at a slow pace in Africa, hence, this study to evaluate the perspectives of Ghanaian radiologists. Methods: Data for this cross-sectional prospective study was collected between September and November 2021 through an online survey and entered into SPSS for analysis. A Mann–Whitney U test assisted in checking for possible gender differences in the mean Likert scale responses on the radiologists’ perspectives about AI in radiology. Statistical significance was set at P ≤ 0.05. Results: The study comprised 77 radiologists, with more males (71.4%). 97.4% were aware of the concept of AI, with their initial exposure via conferences (42.9%). The majority of the respondents had average awareness (36.4%) and below average expertise (44.2%) in radiological AI usage. Most of the participants (54.5%) stated, they do not use AI in their practices. The respondents disagreed that AI will ultimately replace radiologists in the near future (average Likert score = 3.49, SD = 1.096) and that AI should be an integral part of the training of radiologists (average Likert score = 1.91, SD = 0.830). Conclusion: Although the radiologists had positive opinions about the capabilities of AI, they exhibited an average awareness of and below average expertise in the usage of AI applications in radiology. They agreed on the potential life changing impact of AI and were of the view that AI will not replace radiologists but serve as a complement. There was inadequate radiological AI infrastructure in Ghana

    Unilateral congenital proximal radioulnar synostosis in a 4-year-old boy: A case report

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    Congenital radioulnar synostosis is a rare musculoskeletal disorder of the elbow, occurring as a result of variable degree and length of the congenital fusion of the proximal radioulnar joint. Patients presents early to the hospital depending on the severity of the synostosis and its effect on elbow function. It may have psychosocial effects on the affected individuals as they grow older especially when the deformity is dramatic. Treatment may be conservative, surgical (which may have a variable degree of success) and psychotherapy
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