Thomas Jefferson University

Resin Yttrium-90 (Y-90) selective internal radiation therapy (SIRT) is a radioembolization procedure that uses Y-90 microspheres to treat metastatic liver cancer. In the procedure, liver volume and tumor volume are needed for Y-90 activity calculations, which...

To quantify the dosimetric impact of pelvic bone electron density (ED) assignment on dose accuracy and target coverage in an adapt-to-shape (ATS) MR-guided adaptive radiotherapy (MRgRT) workflow on a 1.5 T MR-Linac for prostate stereotactic body radiotherapy...

Lattice radiotherapy (LRT) is a spatially fractionated radiation therapy technique in which high‑dose vertices are delivered within a gross tumor volume while maintaining lower‑dose valley regions. The technique requires reliable dose modulation and clinicall...

Conventional radiotherapy plan evaluation relies on isolated dose–volume metrics that provide limited insight into the magnitude and clinical significance of deviations from protocol-defined organ-at-risk (OAR) objectives. We propose a plan-level OAR dose dev...

In Syed interstitial gynecologic (GYN) brachytherapy, preplanning is often used to guide applicator placement and anticipate target coverage. However, the accuracy of preplan‑based contouring relative to treatment‑day planning remains uncertain, particularly...

SunNuclear SRS mapcheck diode array is a convenient option for 2D dose mapping combining small detector and relatively small 3.5mm detector grid size in axial direction (2.5mm in diagonal direction). We investigate the utility of SRS mapcheck in validating th...

Big-data radiotherapy research faces challenges in achieving consistent structure nomenclature across large hospital networks. This study develops and validates a novel automated pipeline for standardizing structure names. Our multi-tier matching pipeline int...

To test egs_mird as an independent verification for patient-specific dosimetry calculations in a clinical workflow alongside two commercially available software packages (MIM SurePlanTM MRT and Voximetry TorchMCTM).

Current techniques for assessing setup margins in prostate and PLN radiation treatments rely on manual, time-consuming workflows. A novel automated workflow approach was developed to evaluate three clinical sites with different immobilization methods.

Automated chart-check tools have been shown to reduce errors and improve efficiency in radiation therapy plan reviews. However, existing solutions are typically limited to single-vendor systems. This study describes the development and evaluation of an in-hou...

To introduce a platform for automated comparative analysis of dose calculation algorithms in the Eclipse Treatment Planning System. Native TPS workflows are labor-intensive, manual, and lack the automated metric evaluation needed for efficient AAPM MPPG5b com...

To quantitatively compare radiation dose output and image quality performance between two cardiac fluoroscopy systems operated under matched exposure conditions, and to assess the impact of proprietary image processing on low-contrast detectability.

Portal hypertension (PH) is currently diagnosed by the hepatic venous pressure gradient (HVPG). Subharmonic imaging (SHI) is a contrast-enhanced ultrasound (CEUS) imaging technique receiving at half the transmit frequency resulting in better tissue suppressio...

To evaluate the performance of a digital, imager-based automatic exposure control (AEC) system for bedside radiography that uses a low-dose scout image to adaptively select x-ray technique, and to compare its exposure control and image quality performance wit...

Accurate delineation of Head and Neck (H&N) Gross Tumor Volumes (GTV) is a prerequisite for effective radiotherapy, represents a significant cognitive challenge, and may contribute to an observed outcomes deficit between high-volume and low-volume H&N radioth...

Longitudinal CBCT radiomics acquired during radiotherapy suffers from temporal variability. We developed a novel cumulative spatial and temporal aggregation framework (CBCTc) to optimize both prediction performance and stability for lung cancer survival predi...

FDG-PET/CT scans obtained for lung cancer staging may encode underutilized cardiac information. This study aimed to: (1) assess the predictive power of PET-derived radiomics for pre-treatment cardiovascular conditions; (2) evaluate model performance across tw...

The incorrect patient placed on the radiotherapy couch for treatment is rare, but the consequences are potentially devastating. We developed an artificial intelligence assistance tool intended to support therapists at the treatment console to ensure the corre...

Cardiotoxicity assessment following lung cancer radiotherapy is limited by the difficulty of extracting outcomes from unstructured Electronic Health Records (EHRs). Large Language Models (LLMs) offer a scalable solution, with privacy constraints necessitating...

Therapy Physics

To update U.S. national adult CT DRLs and ADs using 2025 data and to demonstrate a scalable, acquisition-level, size-normalized framework for generating timely and clinically relevant national benchmarks.

To evaluate whether a multi-view computer vision–based surface-guided radiotherapy framework (CV-SGRT) can overcome occlusion-related limitations of conventional SGRT systems and improve surface reconstruction and respiratory motion accuracy.