Hofstra University

To clinically validate log file–based patient-specific quality assurance (PSQA) for IMRT and VMAT treatments as an efficient alternative to physical measurement-based methods, while maintaining compliance with AAPM recommendations.

High dose rate (HDR) brachytherapy is a well-established modality for treating prostate cancer. Imaging used for treatment planning is typically transrectal ultrasound (TRUS) or CT. This study aims to compare the volumetric accuracy of, and differences betwee...

The goal of this study is to develop a simple treatment planning system (TPS) to assess the dosimetry of a Y-90 source train-based treatment for intravascular brachytherapy (IVBT) using data from Monte-Carlo simulations.

Accurate small-field dosimetry for stereotactic radiosurgery is challenging due to steep dose gradients and detector positioning limitations. This study evaluates the feasibility of using a high-resolution diode detector, secured within a custom 3D-printed ho...

Radiation therapy is utilized as an adjuvant treatment after breast conserving surgery in early-stage breast cancer patients. There are several protocols available for management of early-stage breast cancer. The purpose of the study is to present a dosimetri...

To evaluate 2024 NRC medical‑related Event Notification Reports and identify recurring incident patterns as well as isotope‑specific trends from January through December. By characterizing common failure modes and operational vulnerabilities, this analysis ai...

The aim of this work is to predict the arc level gamma passing rate (GPR) values for IMRT, VMAT, and FSRT plans at the prostate site using machine learning-based models using the SVM algorithm.

To evaluate the effectiveness of SpaceOAR in sparing the rectum by calculating the normal tissue complication probability (NTCP) from radiotherapy treatment plans for prostate cancer patients treated with and without a spacer.

To develop and evaluate a convolutional neural network (CNN) framework that estimates portal dosimetry gamma passing rate (GPR) directly from predicted dose plane images, enabling rapid quality assurance (QA) decision support for workflows relevant to online...

Developing and researching methods of implementing deep learning neural networks capable of predicting gamma passing rates from retroactive 2D dose plane images for QA procedure optimization, workflow improvements, and plan delivery.

Gamma Knife (GK) stereotactic radiosurgery (SRS) and fractionated SRS (fSRS) planning require high-fidelity MRI for accurate target delineation with minimal planning margins. This work evaluates MRI image quality across diagnostic MRI systems using GK scannin...

To evaluate temporal and site-specific patterns in phantom-based patient-specific quality assurance (PSQA) performance and estimate failure-capture efficiency using a hypothetical gamma passing rate (GPR) threshold of 90%), a retrospective failure threshold o...