Analysis of Aperture-based Complexity Metrics and Their Effect on Patient-specific Quality Assurance in Intensity-modulated Radiation Therapy Planning [PDF]
Background: Identifying plans at risk of patient-specific quality assurance (PSQA) failure through complexity metrics can reduce the workload while maintaining quality. This study evaluates complexity metrics as predictors of PSQA outcomes. Materials and
Dinesh Kumar Saroj +4 more
doaj +2 more sources
A Balanced Multimodal Multi-Task Deep Learning Framework for Robust Patient-Specific Quality Assurance [PDF]
Background: Multimodal Deep learning has emerged as a crucial method for automated patient-specific quality assurance (PSQA) in radiotherapy research.
Xiaoyang Zeng +2 more
doaj +2 more sources
Automatic radiotherapy planning for deliverable plans using deep learning dose prediction and dose rings optimization in cervical cancer. [PDF]
Abstract Background Automatic radiotherapy (RT) planning based on deep learning (DL) has been extensively researched. However, it is challenging to import the predicted dose distribution into mainstream treatment planning systems (TPSs) and generate clinically deliverable plans.
Huang W +13 more
europepmc +2 more sources
Validation of MLC leaf open time calculation methods for PSQA in adaptive radiotherapy with tomotherapy units. [PDF]
Treatment delivery safety and accuracy are essential to control the disease and protect healthy tissues in radiation therapy. For usual treatment, a phantom-based patient specific quality assurance (PSQA) is performed to verify the delivery prior to the ...
Bochud, F. +6 more
core +4 more sources
Feasibility of Monte Carlo-based patient-specific quality assurance in 1.5 Tesla magnetic resonance-guided online adaptive radiotherapy: a multi-institutional study [PDF]
Introduction: To evaluate the feasibility of Monte Carlo (MC)-based patient-specific quality assurance (PSQA) for MR-guided online adaptive radiotherapy and to explore the potential to eliminate the post-delivery measurement-based PSQA.
Ruiqi Li +6 more
doaj +2 more sources
Performance evaluation of a second-generation O-ring-shaped image-guided radiotherapy system with a gimbal-mounted linear accelerator and real-time tracking capabilities. [PDF]
Abstract Purpose OXRAY, a state‐of‐the‐art radiation therapy system commercialized by Hitachi High‐Tech Ltd. in 2023, integrates unique beam delivery and image‐guided radiation therapy (IGRT) technologies as the successor to Vero4DRT. This study evaluated the performance of this second‐generation O‐ring‐shaped linear accelerator. Methods The percentage
Kawata K +8 more
europepmc +2 more sources
Developing reference plans for evaluating global clinical trials credentialing and PSQA systems. [PDF]
AbstractPurposeTo develop a practical framework for creating a diverse set of validated reference plans (varying in complexity) and implement a workflow to introduce beam modeling, calibration, and delivery errors into the reference cohort to test and compare various dosimetry audit methodologies.MethodsSixteen IMRT and VMAT reference plans were ...
Brooks FMD +13 more
europepmc +2 more sources
Independent secondary dose calculation for patient-specific quality assurance: Quantitative benefit of Monte-Carlo and custom beam modeling. [PDF]
Abstract Background Independent secondary dose calculation (ISDC) is becoming increasingly important for patient specific quality assurance. The most widely used analytical algorithms in ISDC are becoming challenged by Monte Carlo systems, which offer a potentially higher accuracy. Purpose Quantify the benefit of Monte Carlo over analytical algorithms,
Hoffmann L, Linaa MB, Møller DS.
europepmc +2 more sources
Towards implementation of independent calculation-based dose verification in proton therapy. [PDF]
BackgroundProton therapy offers precision in targeting tumors while minimizing damage to surrounding healthy tissues. Independent dose calculation is a secondary dose validation tool for patient-specific quality assurance (PSQA) using Monte Carlo ...
Nichakan Chatchumnan +4 more
doaj +2 more sources
Objective: The present study aimed to construct and compare machine learning (ML) models for classifying patient-specific quality assurance (PSQA) outcomes in prostate volumetric modulated arc therapy (VMAT) treatment.
Francis C. Djoumessi Zamo +4 more
doaj +2 more sources

