RESUMO
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.
RESUMO
BACKGROUND: The frequency of raised serum alpha-fetoprotein may vary in relation to hepatitis B or C infection in chronic liver disease (CLD). The study evaluated the frequency of hepatitis B and C in patients with chronic liver disease and correlated the levels of serum alpha-fetoprotein with hepatitis B and C infection in the patients. MATERIALS AND METHODS: Eighty-six patients with CLD were recruited for the study. Fifty subjects, with no CLD were used as control. Hepatitis B surface Antigen (HBsAg) and hepatitis C antibody were determined using enzyme-linked immunosorbent assay (ELISA) technique (Human diagnostics, Germany and HCV Murex 40 Anhet laboratories, USA) while liver function tests were evaluated using express plus chemistry auto analyzer. Alpha-fetoprotein was assayed using ELECSYS 1010 auto analyser. RESULTS: There were 60 males and 26 females, with a mean age of 46 + 6.5 years, while the controls were 25 males and 25 females with a mean age of 41 ± 2.5 years. Thirty-six subjects (41.7%) were seropositive for HBsAg while 24 (27.9%) were seropositive for Hepatitis C Virus (HCV) antibody. The mean alpha fetoprotein level was 359 ± 9.9 ng/mL while mean control value was 1.93 ± 0.24 ng/mL. Liver function test parameters were elevated compared with control subjects (P < 0.001). The increase in serum alpha-fetoprotein was higher (P < 0.001) in HCV than HBsAg positive patients. CONCLUSION: Serum alpha-fetoprotein level was highest in HCV compared to HBsAg positive and hepatitis negative patients with CLD.