Results 241 to 250 of about 96,313 (268)

Long‐Term Outcomes on Pallidal Neurostimulation for Dystonia: A Controlled, Prospective 10‐Year Follow‐Up

open access: yesMovement Disorders, EarlyView.
Abstract Background Pallidal neurostimulation is an effective treatment for severe isolated dystonia, but long‐term data from clinical trials are lacking. Objectives To evaluate long‐term efficacy and safety of pallidal neurostimulation in patients with isolated generalized or segmental dystonia.
Patricia Krause   +60 more
wiley   +1 more source

TransAnaNet: Transformer‐based anatomy change prediction network for head and neck cancer radiotherapy

open access: yesMedical Physics, EarlyView.
Abstract Background Adaptive radiotherapy (ART) can compensate for the dosimetric impact of anatomic change during radiotherapy of head–neck cancer (HNC) patients. However, implementing ART universally poses challenges in clinical workflow and resource allocation, given the variability in patient response and the constraints of available resources ...
Meixu Chen   +5 more
wiley   +1 more source

A deep learning‐based peer review method for radiotherapy planning

open access: yesMedical Physics, EarlyView.
Abstract Background Quality control (QC) in radiotherapy planning is crucial for ensuring treatment efficacy and patient safety. Traditionally, QC relies on standard indicators and subjective assessments, which may lead to inconsistencies. Purpose This study aims to develop a novel peer review method for personalized QC in radiotherapy planning, which ...
Pujun Zhou   +5 more
wiley   +1 more source

Enhancing accuracy in proton therapy: The impact of geometric uncertainty models in head and neck cancer treatment

open access: yesMedical Physics, EarlyView.
Abstract Background Anatomical changes present a major source of uncertainty in head and neck (H&N) cancer treatment. Accurate modeling of these changes is important for enhancing treatment precision and supporting better outcomes. Purpose The purpose of this study is to assess different anatomical uncertainty modeling methods in robust optimization ...
Ying Zhang, Mark Ka Heng Chan
wiley   +1 more source

Home - About - Disclaimer - Privacy