Publications by authors named "G I Ogbole"
The aim of this study is to present and discuss atypical instances of spina bifida (SB) within a Nigerian paediatric cohort, highlighting their distinctive clinicoradiological features. Additionally, a brief literature review is provided to contextualise these congenital anomalies. This series comprises eight rare cases of SB managed in a Nigerian neurosurgical facility.
View Article and Find Full Text PDFBackground: Cancers, with increasing incidence and mortality rates, constitute a leading public health problem in Nigeria. As the burden of cancer in Nigeria increases, research and quality service delivery remain critical strategies for improved cancer control across the continuum of care. This study contextualizes the challenges and gaps in oncology research and practice in Nigeria, and presents recommendations to address the gaps.
View Article and Find Full Text PDFArticle Synopsis
- * A 2D convolutional neural network (CNN) was trained on synthesized data and tested on various datasets, achieving notable precision (85%) and recall (80%) in identifying motion issues.
- * The model demonstrated excellent agreement with a radiologist's assessments (93%) and correlates strongly with an image quality metric, aiming to streamline the quality assessment process, especially in low-resource environments.
Purpose: Low-field (LF) MRI scanners are common in many Low- and middle-Income countries, but they provide images with worse spatial resolution and contrast than high-field (HF) scanners. Image Quality Transfer (IQT) is a machine learning framework to enhance images based on high-quality references that has recently adapted to LF MRI. In this study we aim to assess if it can improve lesion visualisation compared to LF MRI scans in children with epilepsy.
View Article and Find Full Text PDFDiagnostic utility of electrocardiogram for screening of cardiac injury on cardiac magnetic resonance in post-hospitalised COVID-19 patients: a prospective multicenter study.
Int J Cardiol
November 2024
Article Synopsis
- The study aimed to assess the effectiveness of ECG in detecting cardiac issues in post-hospitalized COVID-19 patients through cardiac magnetic resonance (CMR) imaging.
- Results showed that these patients had significantly more ECG abnormalities compared to healthy controls, yet both groups had similar levels of CMR abnormalities.
- Adding additional analyses on repolarization improved ECG's ability to identify patients with CMR abnormalities and reduced the reliance on sex in the diagnostic process.