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| http://dx.doi.org/10.3324/haematol.2019.235804 | DOI Listing |
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Current Treatment Paradigm and Approach to Advanced Hepatocellular Carcinoma.
Cureus
December 2024
Hematology and Oncology, Roger Williams Medical Center, Boston University School of Medicine, Providence, USA.
Hepatocellular carcinoma (HCC) is one of the most common forms of primary liver cancer worldwide. Herein, we present a review article that provides a broad overview of the current landscape of HCC, including the etiology, potential risk factors, and molecular pathways that can serve as potential therapeutic targets. The risk factors tend to vary depending on the geographic distribution; hepatitis B-induced cirrhosis and HCC occur more frequently in Asia and Sub-Saharan Africa, whereas metabolic disorders are the culprits in Western Europe and the Americas.
View Article and Find Full Text PDFASTRO Guidelines for Partial Breast Irradiation for Patients With Early-Stage Invasive Breast Cancer: A Disturbing Change of Paradigm for Intraoperative Radiation Therapy. Editorial on Behalf of the International Society of Intraoperative Radiation Therapy Working Group.
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Department of Radiation-Oncology, Institut Jules Bordet - Université Libre de Bruxelles, Brussels, Belgium. Electronic address:
Image Guidance is Associated with Improved Freedom From Recurrence After Superficial Radiation Therapy for Nonmelanoma Skin Cancer.
Adv Radiat Oncol
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Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio.
Purpose: This is the first study to quantify the 2-year freedom from recurrence for individuals with nonmelanoma skin cancer (NMSC) such as basal cell carcinoma (BCC), squamous cell carcinoma (SCC), and squamous carcinoma in situ (SCCIS) treated with image guided superficial radiation therapy (IGSRT) versus SRT without image guidance.
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Pediatric brain tumor classification using deep learning on MR images with age fusion.
Neurooncol Adv
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Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden.
Purpose: To implement and evaluate deep learning-based methods for the classification of pediatric brain tumors (PBT) in magnetic resonance (MR) data.
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bioRxiv
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Brenden-Colson Center for Pancreatic Care, Oregon Health & Science University, Portland, OR.
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