Results 131 to 140 of about 727,000 (294)
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+9 more
wiley +1 more source
JACMP – Founding and 2000–2004
Journal of Applied Clinical Medical Physics, EarlyView.
Michael Mills
wiley +1 more source
IROC phantoms accurately detect MLC delivery errors
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+5 more
wiley +1 more source
Expert-level vision-language foundation model for real-world radiology and comprehensive evaluation [PDF]
Radiology is a vital and complex component of modern clinical workflow and covers many tasks. Recently, vision-language (VL) foundation models in medicine have shown potential in processing multimodal information, offering a unified solution for various radiology tasks.
arxiv
RADIOLOGY OR SURGERY IN DISEASED TONSILS [PDF]
Robt. H. Lafferty, Chris C. Phillips
openalex +1 more source
The effect of multi‐leaf collimator leaf width on VMAT treatment plan quality
Abstract Background The advent of volumetric modulated arc therapy (VMAT) in radiotherapy has made it one of the most commonly used techniques in clinical practice. VMAT is the delivery of intensity modulated radiation therapy (IMRT) while the gantry is in motion, and existing literature has shown it has decreased treatment delivery times and the ...
Gregory Sadharanu Peiris+3 more
wiley +1 more source
Best Practices for Large Language Models in Radiology [PDF]
At the heart of radiological practice is the challenge of integrating complex imaging data with clinical information to produce actionable insights. Nuanced application of language is key for various activities, including managing requests, describing and interpreting imaging findings in the context of clinical data, and concisely documenting and ...
arxiv