Synchronous Splenic and Intracerebral Abscesses in a Child.

ABSTRACT: Splenic abscess is a life-threatening condition, which is very rare in children. There is usually an infective focus or pre-disposing factors such as immunodeficiencies towards developing splenic abscesses. Only one case of splenic abscess with brain abscesses in an adult has been reported in the English literature. We, therefore, report a case of an 11-year-old boy who was otherwise healthy, but presented with fever and weight loss for 2 months, right upper abdominal pain, vomiting, hypochondrial tenderness for 1 week and later on developed a left hemiplegia and right facioparesis 2 days before presentation. Diagnosis of splenic abscess and right intracerebral abscesses was confirmed with abdominopelvic ultrasound scan and abdominal and cranial computerised tomographic scans. He subsequently had percutaneous ultrasound-guided drainage of the splenic abscess which was not successful necessitating splenectomy with aggressive antibiotics treatment to which the patient responded with resolution of the brain abscesses and recovery of power in affected limbs. This report aimed to highlight the need for increased suspicion of splenic abscesses in children who are apparently immunocompetent and to add to the knowledge of management of this rare condition in children. We conclude that splenic abscess with intracerebral abscess is a rare but life-threatening condition which is amenable to treatment with drainage of abscess and aggressive guided antimicrobial therapy.

The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa).

Gliomas are the most common type of primary brain tumors. Although gliomas are relatively rare, they are among the deadliest types of cancer, with a survival rate of less than 2 years after diagnosis. Gliomas are challenging to diagnose, hard to treat and inherently resistant to conventional therapy. Years of extensive research to improve diagnosis and treatment of gliomas have decreased mortality rates across the Global North, while chances of survival among individuals in low- and middle-income countries (LMICs) remain unchanged and are significantly worse in Sub-Saharan Africa (SSA) populations. Long-term survival with glioma is associated with the identification of appropriate pathological features on brain MRI and confirmation by histopathology. Since 2012, the Brain Tumor Segmentation (BraTS) Challenge have evaluated state-of-the-art machine learning methods to detect, characterize, and classify gliomas. However, it is unclear if the state-of-the-art methods can be widely implemented in SSA given the extensive use of lower-quality MRI technology, which produces poor image contrast and resolution and more importantly, the propensity for late presentation of disease at advanced stages as well as the unique characteristics of gliomas in SSA (i.e., suspected higher rates of gliomatosis cerebri). Thus, the BraTS-Africa Challenge provides a unique opportunity to include brain MRI glioma cases from SSA in global efforts through the BraTS Challenge to develop and evaluate computer-aided-diagnostic (CAD) methods for the detection and characterization of glioma in resource-limited settings, where the potential for CAD tools to transform healthcare are more likely.