Results 101 to 110 of about 70,075 (241)

Radiation Oncology

Sarcoma, 2001
openaire   +4 more sources

A coordinate transfer of anatomical information from CT to treatment simulation., Cheng C.W., et al., Int. J. Radiation Oncology Biol. Phys., 13, 10, 1559-1569, 1987

, 1988

openalex   +2 more sources

Automatic skin flash optimization in breast and chestwall VMAT with static angle modulated ports: Effect of HU and flash margin size on plan quality and robustness

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Skin flash is typically added to breast and chestwall plans to ensure robust target coverage in the presence of respiratory motion, anatomic changes, and small setup uncertainties. Adding skin flash in volumetric modulated arc therapy (VMAT) plans is an iterative and manual process.
Emily Hubley, Brandon Koger, Taoran Li, Michael Salerno, Ryan M. Scheuermann, Lei Dong, Boon‐Keng Kevin Teo   +6 more
wiley   +1 more source

Iterative Prompt Refinement for Radiation Oncology Symptom Extraction Using Teacher-Student Large Language Models [PDF]

arXiv
This study introduces a novel teacher-student architecture utilizing Large Language Models (LLMs) to improve prostate cancer radiotherapy symptom extraction from clinical notes. Mixtral, the student model, initially extracts symptoms, followed by GPT-4, the teacher model, which refines prompts based on Mixtral's performance.
arxiv  

Head and neck cancer research in the radiation therapy oncology group

, 1987
Víctor A. Marcial
openalex   +1 more source

Assessing HyperSight iterative CBCT for dose calculation in online adaptive radiotherapy for pelvis and breast patients compared to synthetic CT

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose/objectives Recent technological advancements have increased efficiency for clinical deliverability of online‐adaptive‐radiotherapy (oART). Previous cone‐beam‐computed‐tomography (CBCT) generations lacked the ability to provide reliable Hounsfield‐units (HU), thus requiring oART workflows to rely on synthetic‐CT (sCT) images derived ...
Jingwei Duan, Joel A. Pogue, Dennis N. Stanley, Sui Shen, Natalie N. Viscariello, Carlos E. Cardenas, Richard A. Popple, Joseph Harms   +7 more
wiley   +1 more source

A Large Language Model Pipeline for Breast Cancer Oncology [PDF]

arXiv
Large language models (LLMs) have demonstrated potential in the innovation of many disciplines. However, how they can best be developed for oncology remains underdeveloped. State-of-the-art OpenAI models were fine-tuned on a clinical dataset and clinical guidelines text corpus for two important cancer treatment factors, adjuvant radiation therapy and ...
arxiv  

American Society for Radiation Oncology's Advances in Radiation Oncology in 2022

Advances in Radiation Oncology, 2022
Miller, Robert C., Tsai, C. Jillian
openaire   +2 more sources

Keynote Address : Prescription, Precision and Decision in Treatment Planning., Dutreix A., Int. J. Radiation Oncology Biol. Phys., 13(9), 1291-1296, (1987)

, 1988
文献委員会
openalex   +2 more sources

Impact of enhanced leaf model on dose calculation accuracy in single‐isocenter multitarget stereotactic radiosurgery treatments

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Single‐isocenter multitarget (SIMT) radiosurgery has become increasingly popular as advancement in planning and delivery systems have made this approach clinically viable. With targets varying in size and distance from isocenter, SIMT plans are highly complex with dynamic multileaf collimator (MLC) motion.
Hem Moktan, Hongyu Jiang, H. Harold Li, Kenny Guida   +3 more
wiley   +1 more source