Radiomics is an advanced image-processing framework, which extracts image features and
considers them as biomarkers towards personalized medicine. Applications include disease …

Purpose The purpose of this study was to predict and classify the gamma passing rate
(GPR) value by using new features (3D dosiomics features and combined with plan and …

The purpose of this study was to develop a predictive model for patient‐specific VMAT QA
results using multileaf collimator (MLC) effect and texture analysis. The MLC speed …

We demonstrate a virtual pretreatment patient‐specific QA (PSQA) procedure that is capable
of quantifying dosimetric effect on patient anatomy for both intensity modulated radiotherapy …

Purpose We sought to develop machine learning models to predict the results of patient‐
specific quality assurance (QA) for volumetric modulated arc therapy (VMAT), which were …

Purpose: Trajectory log files are increasingly being utilized clinically for machine and patient
specific QA. The process of converting the DICOM-RT plan to a deliverable trajectory by the …

The positional accuracy of multi-leaf collimators (MLC) is important in stereotactic body
radiotherapy (SBRT). The aim of this study was to investigate the impact between MLC …

Patient-specific quality assurance (QA) using measurement-based techniques has been the
standard method used in many institutions as an essential step to ensure the accuracy of the …

An in‐house trajectory log analysis program (LOGQA) was developed to evaluate the
delivery accuracy of volumetric‐modulated arc therapy (VMAT) for stereotactic body …

Purpose: This study aimed to evaluate the utility of a new plan feature (planomics feature) for
predicting the results of patient-specific quality assurance using the head and neck (H&N) …