Results 91 to 100 of about 25,193 (285)

Integrated PANoptosis Profiling Identifies Immunosuppressive Subtypes and a Prognostic Signature With Functional Validation of MLKL in Glioblastoma

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The prognosis of glioblastoma (GBM) remains highly unfavorable, largely due to high tumor heterogeneity and an immunosuppressive microenvironment. However, the functional role of PANoptosis in this context is poorly understood. Methods Patients were stratified via K‐means clustering. A risk score model was constructed using prognosis‐
Langfei Tian, Minghui Zhao, Yuanbo Hu, Kaiyue Wang, Haiguang Liu, Zetong Bai, Kebin Zheng   +6 more
wiley   +1 more source

A tool to include gamma analysis software into a quality assurance program

, 2016
PURPOSE: To provide a tool to enable gamma analysis software algorithms to be included in a quality assurance (QA) program.METHODS: Four image sets were created comprising two geometric images to independently test the distance to agreement (DTA) and ...
McGarry, Conor K, Agnew, Christina E
core   +1 more source

Dose Evaluation of Head and Neck Cancer IMRT Treatment Planning Based on Gamma Index Analysis of Varian Halcyon 2.0 Linac

, 2023
Varian Halcyon 2.0 linear accelerator was launched and became available for clinical use in 2018. Therefore, it is necessary to evaluate the accuracy of exit fluence of the Halcyon 2.0 for quality assurance (QA) of head and neck cancer treatment planning,
Wibowo, W. E., S. A. Pawiro, W. E. Wibowo, Suhaimi, F., F. Suhaimi, W. Purwati, Pawiro, S. A., Purwati, W.   +7 more
core   +2 more sources

Evaluation of Using an Octavius 4D Measuring System for Patient-Specific VMAT Quality Assurance

Radiation
Background: Quality assurance (QA) programs are designed to improve the quality and safety of radiation treatments, including patient-specific QA (PSQA).
Yawo Atsu Constantino Fiagan, Kodjo Joël Fabrice N‘Guessan, Adama Diakité, Komlanvi Victor Adjenou, Thierry Gevaert, Dirk Verellen   +5 more
doaj   +1 more source

SU-F-T-266: Dynalogs Based Evaluation of Different Dose Rate IMRT Using DVH and Gamma Index

, 2016
PURPOSE: This work investigates the impact of low and high dose rate on IMRT through Dynalogs by evaluating Gamma Index and Dose Volume Histogram.Methods: The Eclipse treatment planning software was used to generate plans on prostate and head and neck ...
Hussain, A, Ahmed, S, S Ahmed, A Hussain, Ahmed, F, F Ahmed   +5 more
core   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

A feasibility study of deep learning prediction model for VMAT patient-specific QA

Frontiers in Oncology
PurposeThis study introduces a deep learning (DL) model that leverages doses calculated from both a treatment planning system (TPS) and independent dose verification software using Monte Carlo (MC) simulations, aiming to predict the gamma passing rate ...
Junjie Miao, Yuan Xu, Kuo Men, Jianrong Dai   +3 more
doaj   +1 more source

Adaptive Radiotherapy (ART) Using In Vivo Portal Dosimetry Constancy on Halcyon LINAC for Head and Neck Cancer VMAT [PDF]

Iranian Journal of Medical Physics
Introduction: This study evaluated the potential of the Varian Halcyon LINAC and its associated Portal Dosimetry (PD) software, using in vivo megavoltage portal images, as a tool for in vivo portal dosimetry constancy (IVDc) in head and neck cancer (HNC)
Venugopal Sundaram, David Khnna, Mohandass P, Prabhu R, Sathyaraj Palanivel, Rekha Arya, Nilotpal Chakravarty, Antovaz S, Palanivel D   +8 more
doaj   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source