10 research outputs found

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

    Get PDF
    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

    Craniolacunia in A neonate; A clinical and CT scan illustrative case report

    No full text
    Abstract Neural tube defects can be accurately diagnosed prenatally. Every effort must be made to get this and its associations with Craniolacunia right, especially in low‐resource settings. This case highlights the importance of three‐dimensional CT in diagnosing neonatal skull abnormalities

    Situs inversus totalis in a 34-year-old diabetic woman. A case report

    No full text
    Incidentally diagnosed situs inversus totalis is a rare condition that is compatible with life when not associated with pathologies like primary ciliary dyskinesia. The etiology is not known but may be associated with certain cardiopulmonary conditions. Diagnosis is usually made when patient presents with other medical concerns as in this case report. Patients diagnosed with this condition must be counseled and reassured that they can live a normal life and be ready to divulge their anatomical variation to physicians when necessary. Clinicians must be on a lookout for this condition during their surgical work-up

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

    No full text
    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

    Computed tomography patterns of intracranial infarcts in a Ghanaian tertiary facility

    Get PDF
    Objective: To determine the Computed Tomography (CT) patterns of intracranial infarctsDesign: A retrospective cross-sectional study.Setting: The CT scan unit of the Radiology Department, Cape Coast Teaching Hospital (CCTH), from February 2017 to February 2021Participants: One thousand, one hundred and twenty-five patients with non-contrast head CT scan diagnosis of is-chaemic strokes, consecutively selected over the study period without any exclusionsMain outcome measures: Patterns of non-contrast head CT scan of ischaemic strokes.Results: About 50.6% of the study participants were females with an average age of 62.59±13.91 years. Males were affected with ischaemic strokes earlier than females (p<0.001). The risk factors considered were, hyperlipidaemia (59.5%), hypertension (49.0%), Type 2 diabetes mellitus (DM-2) (39.6%) and smoking (3.0%). The three commonest ischaemic stroke CT scan features were wedge-shaped hypodensity extending to the edge of the brain (62.8%), sulcal flattening/effacement (57.6%) and loss of grey-white matter differentiation (51.0%), which were all significantly as-sociated with hypertension. Small deep brain hypodensities, the rarest feature (2.2%), had no significant association with any of the risk factors considered in the study.Conclusion: Apart from the loss of grey-white matter differentiation, there was no significant association between the other CT scan features and sex. Generally, most of the risk factors and the CT scan features were significantly associated with increasing age

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

    No full text
    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

    No full text
    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
    corecore