Results 71 to 80 of about 70,075 (241)

Enhanced dose prediction for head and neck cancer artificial intelligence‐driven radiotherapy based on transfer learning with limited training data

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Training deep learning dose prediction models for the latest cutting‐edge radiotherapy techniques, such as AI‐based nodal radiotherapy (AINRT) and Daily Adaptive AI‐based nodal radiotherapy (DA‐AINRT), is challenging due to limited data.
Hui‐Ju Wang, Austen Maniscalco, David Sher, Mu‐Han Lin, Steve Jiang, Dan Nguyen   +5 more
wiley   +1 more source

Fine-Tuning Open-Source Large Language Models to Improve Their Performance on Radiation Oncology Tasks: A Feasibility Study to Investigate Their Potential Clinical Applications in Radiation Oncology [PDF]

arXiv
Background: The radiation oncology clinical practice involves many steps relying on the dynamic interplay of abundant text data. Large language models have displayed remarkable capabilities in processing complex text information. But their direct applications in specific fields like radiation oncology remain underexplored. Purpose: This study aims to
arxiv  

Assessing proton plans with three different beam delivery systems versus photon plans for head and neck tumors

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To compare plan quality among photon volumetric modulated arc therapy (VMAT) and intensity‐modulated proton therapy (IMPT) with robustness using three different proton beam delivery systems with various spot size (σ) ranges: cyclotron‐generated proton beams (CPBs) (σ: 2.7–7.0 mm), linear accelerator proton beams (LPBs) (σ: 2.9–5.5 mm),
Tara Gray, Chieh‐Wen Liu, Saeed Ahmed, Anna Maria Kolano, Jeremy Donaghue, Shlomo Koyfman, Neil Woody, Shauna R. Campbell, Jonathan B. Farr, Ping Xia   +9 more
wiley   +1 more source

interruptions adversely affect local control and survival with hyperfractionated radiation therapy of carcinomas of the upper respiratory and digestive tracts new evidence for accelerated proliferation from radiation therapy oncology group protocol 8313 [PDF]

, 1992
James D. Cox, Thomas F. Pajak, Víctor A. Marcial, Lawrence R. Coia, Mohammed Mohiuddin, Karen K. Fu, H. Selim, Roger W. Byhardt, Philip Rubin, H. Ortíz, Linda Martin   +10 more
openalex   +1 more source

Left hippocampus sparing model for glioblastoma radiotherapy by utilizing knowledge‐based planning and multi‐criteria optimization

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Results of a prospective, randomized controlled trial at our institute demonstrate an association between the dose to the left hippocampus and neurocognitive decline post‐radiotherapy for patients with glioblastoma. To minimize the dose to the left hippocampus, a left hippocampus sparing model was created using RapidPlan (RP) and multi‐
Shima Y. Tari, Amr Heikal, Connie Le, Fan Yang, Deepak Dinakaran, John Amanie, Albert Murtha, Lindsay S. Rowe, Wilson H. Roa, Samir Patel   +9 more
wiley   +1 more source

IROC phantoms accurately detect MLC delivery errors

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose We evaluated the impact of random and whole‐bank multileaf collimator (MLC) delivery errors on dosimetric delivery accuracy in the Imaging and Radiation Oncology Core (IROC) phantom audits, as well as differences in delivery accuracy between the IROC phantom prescription and typical clinical fraction sizes.
Sharbacha S. Edward, Julianne M. Pollard‐Larkin, Peter A. Balter, Rebecca M. Howell, Christine B. Peterson, Stephen F. Kry   +5 more
wiley   +1 more source

JACMP – Founding and 2000–2004

Journal of Applied Clinical Medical Physics, EarlyView.
Michael Mills
wiley   +1 more source

The effect of kV imaging dose on PTV and OAR planning constraints in lung SBRT using stereoscopic/monoscopic real‐time tumor‐monitoring system

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Quantify the impact of additional imaging doses on clinical dose constraints during lung stereotactic body radiotherapy (SBRT) treatment utilizing stereoscopic/monoscopic real‐time tumor monitoring. Materials and Methods Thirty lung SBRT patients treated with the volumetric arc therapy technique were randomly selected from the ...
Ruwan Abeywardhana, Mike Sattarivand
wiley   +1 more source

A Language Vision Model Approach for Automated Tumor Contouring in Radiation Oncology [PDF]

arXiv
Background: Lung cancer ranks as the leading cause of cancer-related mortality worldwide. The complexity of tumor delineation, crucial for radiation therapy, requires expertise often unavailable in resource-limited settings. Artificial Intelligence(AI), particularly with advancements in deep learning (DL) and natural language processing (NLP), offers ...
arxiv  

White matter changes are correlated significantly with radiation dose. Observations from a randomized dose-escalation trial for malignant glioma (radiation therapy oncology group 83-02) [PDF]

, 1994
Benjamin W. Corn, David M. Yousem, Charles Scott, Marvin Rotman, Sucha O. Asbell, Diana F. Nelson, Linda Martin, Walter J. Curran   +7 more
openalex   +1 more source