Immunohistochemical Human Epidermal Growth Factor Receptor 2 (HER2) Expression Pattern in Gastric Adenocarcinomas in a Nigerian Tertiary Hospital.

Background And Objective: The demonstration of HER2 in gastric adenocarcinoma (GA) tissues by immunohistochemistry assists in deciding whether targeted therapy would optimise the treatment of GA patients who are HER2 positive. However, this has not been extensively studied in our patients hence the need for this study.

Methods: Recipient tissue microarray blocks were constructed from donor archival formalin fixed paraffin embedded gastric tumour tissue from 80 patients seen over a period of 17 years in a retrospective descriptive study.

Community cervical cancer screening and precancer risk in women living with HIV in Jos Nigeria.

Background: High HIV prevalence, and lack of organized screening for the indigent population receiving care and treatment within HIV clinics in low-resource settings increases cervical cancer incidence. We sought to determine predictors of cervical precancer in women living with HIV and receiving cervical cancer screening in Jos, Nigeria.

Methods: A cross-sectional study of women living with HIV and receiving care and treatment in adult HIV/AIDS clinics in Jos-Metropolis, Nigeria between June 2020 and April 2023.

EpCAM expression negatively regulates E-cadherin function in colorectal carcinomas.

Background: This study aimed to characterise epithelial cell adhesion molecule (EpCAM) expression patterns in colorectal carcinomas (CRC) from Nigerian patients, its association with E-cadherin and tumour characteristics, to forecast patient selection for anti-EpCAM therapy among whom no data existed previously.

Methods: Tissue microarray blocks of formalin-fixed and paraffin-embedded CRC tissues, with their non-cancer margins of resection, were sectioned and stained with EpCAM and E-cadherin primary antibodies. Scoring for antibody staining was done semiquantitatively by combining staining proportion and intensity.

Comparative Analysis of Image Processing Techniques for Enhanced MRI Image Quality: 3D Reconstruction and Segmentation Using 3D U-Net Architecture.

Osteosarcoma is a common type of bone tumor, particularly prevalent in children and adolescents between the ages of 5 and 25 who are experiencing growth spurts during puberty. Manual delineation of tumor regions in MRI images can be laborious and time-consuming, and results may be subjective and difficult to replicate. Therefore, a convolutional neural network (CNN) was developed to automatically segment osteosarcoma cancerous cells in three types of MRI images.

Robust Image Processing Framework for Intelligent Multi-Stage Malaria Parasite Recognition of Thick and Thin Smear Images.

Malaria is a pressing medical issue in tropical and subtropical regions. Currently, the manual microscopic examination remains the gold standard malaria diagnosis method. Nevertheless, this procedure required highly skilled lab technicians to prepare and examine the slides.