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Brachytherapy boosts RFA for lung cancer
Radio-frequency ablation, which has recently been shown to be effective in treating certain lung tumors, might be even more effective in the same population when combined with brachytherapy.
Radio-frequency ablation, which has recently been shown to be effective in treating certain lung tumors, might be even more effective in the same population when combined with brachytherapy.
Brown University researchers treated three patients using the RFA/brachytherapy combination, with a one to 12-month follow-up. They observed tumor shrinkage in the treated area of two patients during follow-up.
RFA-induced tissue necrosis may boost the radioactive seeds' ability to control malignant cells, according to the study published in the September issue of the American Journal of Roentgenology.
Can Portable Dual-Energy X-Ray be a Viable Alternative to CT in the ICU?
September 13th 2024The use of a portable dual-energy X-ray detector in the ICU at one community hospital reportedly facilitated a 37.5 percent decrease in chest CT exams in comparison to the previous three months, according to research presented at the American Society of Emergency Radiology (ASER) meeting in Washington, D.C.
New Meta-Analysis Examines MRI Assessment for Treatment of Esophageal Cancer
September 12th 2024Diffusion-weighted MRI provided pooled sensitivity and specificity rates of 82 percent and 81 percent respectively for gauging patient response to concurrent chemoradiotherapy for esophageal cancer, according to new meta-analysis.
Study for Emerging PET/CT Agent Reveals ‘New Standard’ for Detecting Clear Cell Renal Cell Carcinoma
September 11th 2024Results from a multicenter phase 3 trial showed that the PET/CT imaging agent (89Zr)Zr-girentuximab had an 85.5 percent mean sensitivity rate for the diagnosis of clear cell renal cell carcinoma.
Can Radiomics and Autoencoders Enhance Real-Time Ultrasound Detection of Breast Cancer?
September 10th 2024Developed with breast ultrasound data from nearly 1,200 women, a model with mixed radiomic and autoencoder features had a 90 percent AUC for diagnosing breast cancer, according to new research.
