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The Added Effect of Artificial Intelligence in CT Assessment of Abdominal Lymphadenopathy.
Lymphology
January 2024
Medical Biophysics Department, Medical Research Institute, Alexandria University, Alexandria, Egypt.
Lymphadenopathy is associated with lymph node abnormal size or consistency due to many causes. We employed the deep convolutional neural network ResNet-34 to detect and classify CT images from patients with abdominal lymphadenopathy and healthy controls. We created a single database containing 1400 source CT images for patients with abdominal lymphadenopathy (n = 700) and healthy controls (n = 700).
View Article and Find Full Text PDFImmunohistochemical Expression of PD-L1 and CTLA-4 in Triple Negative Breast Cancer and Their Prognostic Associations.
Asian Pac J Cancer Prev
January 2025
Department of Pathology, Faculty of Medicine, Mansoura University, Mansoura, Egypt.
Objective: Programmed Death-Ligand 1 (PD-L1) and Cytotoxic T Lymphocyte -Associated Antigen-4 (CTLA-4) are presently considered as prognostic markers and therapeutic targets in numerous human malignancies. The goal of this study was to determine whether PD-L1 and CTLA-4 might be used to predict patients' survival in Triple Negative Breast Cancer (TNBC).
Methods: This retrospective cohort study analyzed 100 primary TNBC cases that had surgical resection at the Oncology Center of Mansoura University (OCMU), Faculty of Medicine, Egypt.
The Role of Tumor-Associated Neutrophils in Early Luminal HER2-Negative Breast Cancer Progression.
Asian Pac J Cancer Prev
January 2025
D1 S.P. Botkin City Clinical Hospital, Moscow, Russia.
Objectives: To study the predictive role of tumor-associated neutrophils in early luminal HER2-negative breast cancer.
Materials And Methods: This is a retrospective study conducted on 60 women cases aged from 31 to 79 years underwent surgery for luminal HER2-negative ductal breast cancer in tertiary care cancer centre. We first estimated basic morphological signs: tumor size, tumor grade (by Nottingham Histologic Score), tumor infiltrating lymphocytes (TILs), Lymphovascular invasion, hormonal receptors status, proliferative index, and regional lymph nodes metastasis.
Detection of H-Pylori in the Explanted Liver Tissue and the Enlarged Perihepatic Lymph Nodes of Cirrhotic Patients with Decompensated End-Stage Liver Disease Recruited for Liver Transplantation.
Asian Pac J Cancer Prev
January 2025
Department of Anatomic Pathology, Faculty of Medicine, Kasralainy, Cairo University, Cairo, Egypt.
Background: Helicobacter pylori bacteria colonize the gastric mucosa and contribute to the occurrence and development of gastrointestinal diseases. According to the WHO, H. pylori bacteria are considered class I carcinogen.
View Article and Find Full Text PDFF-18 FDG PET/CT based Preoperative Machine Learning Prediction Models for Evaluating Regional Lymph Node Metastasis Status of Patients with Colon Cancer.
Asian Pac J Cancer Prev
January 2025
Department of Nuclear Medicine, Busan Paik Hospital, University of Inje College of Medicine, Busan, Republic of Korea.
Objective: This study aimed to develop a simple machine-learning model incorporating lymph node metastasis status with F-18 Fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) and clinical information for predicting regional lymph node metastasis in patients with colon cancer.
Methods: This retrospective study included 193 patients diagnosed with colon cancer between January 2014 and December 2017. All patients underwent F-18 FDG PET/CT and blood test before surgery.
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