Results 91 to 100 of about 70,075 (241)
Evaluation of daily residual pancreatic tumor motion for deep‐inspiration breath‐hold radiotherapy
Abstract Purpose Breath‐hold techniques are widely used in radiation therapy to minimize respiratory‐induced tumor or organ‐at‐risk motion. However, residual motion persists, necessitating a reliable daily evaluation method. Methods At our institution, fiducial markers serve as surrogates for target localization in pancreatic cancer treatment.
Weihua Mao+4 more
wiley +1 more source
Formalization of Dialogue in the Decision Support System of Dr. Watson Type [PDF]
The article further develops and formalizes a theory of friendly dialogue in an AI System of Dr. Watson type, as proposed in our previous publication[4],[19]. The main principle of this type of AI is to guide the user toward a solution in a friendly manner, using questions based on the analysis of user input and data collected in the system.
arxiv
The emergence of radiation oncology as a distinct medical specialty
Philip Rubin
openalex +1 more source
Abstract Purpose This study compares the dosimetric accuracy of deep‐learning‐based MR synthetic CT (sCT) in brain radiotherapy between the Analytical Anisotropic Algorithm (AAA) and AcurosXB (AXB). Additionally, it proposes a novel metric to predict the dosimetric accuracy of sCT for individual post‐surgical brain cases.
Jeffrey C. F. Lui+3 more
wiley +1 more source
Abstract Background The dose‐averaged linear energy transfer (LETD) in proton therapy (PT) has in pre‐clinical studies been linked to the relative biological effectiveness (RBE) of protons. Until recently, the most common PT delivery method in prostate cancer has been double‐scattered PT, with LETD only available through dedicated Monte Carlo (MC ...
Rasmus Klitgaard+7 more
wiley +1 more source
A review of artificial intelligence in brachytherapy
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen+4 more
wiley +1 more source
Abstract The thermoluminescence dosimeter (TLD) sheet is a measurement device coated with manganese‐doped LiB3O5 in sheet form. The sheet is 0.2‐mm thick and flexible. Hence, it can fit and be installed on irregular surfaces. The current study aimed to evaluate the feasibility of measuring patient surface doses during radiation therapy using TLD sheets.
Yuya Miyasaka+8 more
wiley +1 more source