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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 PDFBrain Function Outcomes of Recent and Lifetime Cannabis Use.
JAMA Netw Open
January 2025
Laboratory of NeuroImaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland.
Importance: Cannabis use has increased globally, but its effects on brain function are not fully known, highlighting the need to better determine recent and long-term brain activation outcomes of cannabis use.
Objective: To examine the association of lifetime history of heavy cannabis use and recent cannabis use with brain activation across a range of brain functions in a large sample of young adults in the US.
Design, Setting, And Participants: This cross-sectional study used data (2017 release) from the Human Connectome Project (collected between August 2012 and 2015).
8-OHdG and Nrf2 Protein are Expressed Consistently in Various T Stages of Invasive Breast Carcinoma.
Asian Pac J Cancer Prev
January 2025
Department of Anatomic Pathology, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia.
Objective: Oxidative stress prompts breast cancer cells to adapt by raising the lethal threshold and enhancing the antioxidant mechanism, thereby enabling survival and continuous proliferation that facilitates tumor progression. Nrf2 and 8-OHdG are indicative of oxidative stress activity and impact the progression of breast cancer. We aimed to analyze the expression of Nrf2 and 8-OHdG in various T stages of breast cancer in our hospital.
View Article and Find Full Text PDFBiomarker Panels Associated with Diagnosis and Overall Survival in Hepatocellular Carcinoma Revealed from Protein-Protein and mRNA-miRNA Interaction Networks.
Asian Pac J Cancer Prev
January 2025
Zanjan Metabolic Diseases Research Center, Zanjan University of Medical Sciences, Zanjan, Iran.
Background: Hepatocellular carcinoma (HCC), the most common form of liver cancer, has a significant mortality rate, largely due to late diagnosis. Recent advances in medical research have demonstrated the potential of biomarkers for early detection. Moreover, the discovery and use of prognostic biomarkers offer a ray of hope in the fight against liver cancer.
View Article and Find Full Text PDFAnalyzing Secondary Cancer Risk: A Machine Learning Approach.
Asian Pac J Cancer Prev
January 2025
Department of Physics, Faculty of Sciences, Arak University, Arak, Iran.
Objective: Addressing the rising cancer rates through timely diagnosis and treatment is crucial. Additionally, cancer survivors need to understand the potential risk of developing secondary cancer (SC), which can be influenced by several factors including treatment modalities, lifestyle choices, and habits such as smoking and alcohol consumption. This study aims to establish a novel relationship using linear regression models between dose and the risk of SC, comparing different prediction methods for lung, colon, and breast cancer.
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