All conference submissions

Respiratory motion management remains a challenge for radiotherapy in abdominal regions. This study aims to develop and validate a robust framework that correlates external body surface motion with internal liver tumor movement,...

This study aims to (1) quantify time-resolved intrafraction motion in six degrees of freedom during lung SBRT delivered under optical surface monitoring system (OSMS) guidance and (2) derive clinically relevant motion metrics for...

Gamma Knife radiosurgery (GKRS) has undergone multiple technological transitions over the past two decades. This study evaluates long-term utilization trends at a single academic institution to assess whether GKRS has remained a...

Stereotactic body radiotherapy (SBRT) modulates the tumor immune microenvironment and potentially induces the abscopal effect. Traditional Chinese medicine, Sini Decoction (SND), has demonstrated potential in enhancing immunity a...

Predicting pathological complete response (pCR) following neoadjuvant immunotherapy (nICT) is critical for personalized management of esophageal cancer. This study develops an interpretable multimodal framework that integrates pr...

Accurate vascular visualization is essential for target delineation in pediatric radiotherapy, particularly for abdominal tumors such as Wilms tumor and neuroblastoma, where major vessels serve as key anatomical landmarks. Althou...

Synthetic CT (sCT) generation from cone-beam CT (CBCT) enables accurate online adaptive radiotherapy, to account for daily anatomical and positioning variability in radiotherapy. We introduce two models for CBCT-to-sCT generation...

To evaluate two prototype deep learning–based synthetic CT (sCT) generation models for pelvic and abdominal anatomies using T1-weighted and T2-weighted MR sequences. This study aims to validate their potential to enable MR-only r...

MRI provides advantages for tumor and critical structure delineation in head-and-neck (H&N) radiotherapy. However, H&N MR-only workflows remain challenging due to the large field-of-view and susceptibility artifacts arising from...

To develop and rigorously assess a two‑stage deep learning framework capable of generating synthetic magnetic resonance images (sMRI) directly from standard planning computed tomography (CT) scans. The overarching aim of this wor...

Minibeam radiation therapy (MBRT) is a spatially fractionated technique that produces millimeter-scale dose heterogeneity with promising normal tissue–sparing effects. Implemented using metallic collimators mounted on the accesso...

To establish a rapid quality-control (QC) methodology and baseline performance metrics for T1 and T2 relaxation time estimation across a multi-vendor fleet of 3T MRI systems.

Contrast-to-noise ratio (CNR) is a common alternative to human visual scoring to assess low-contrast visibility in fluoroscopy systems. We propose a task- and usage-driven framework that combines AI-based phantom registration, im...

Deep learning–based glioma segmentation models are commonly developed under the assumption that the standard glioma MRI protocol—T1-weighted, contrast-enhanced T1 (T1ce), T2-weighted, and FLAIR—is available; however, this assumpt...

Developing robust AI models for radiotherapy requires large, diverse datasets, which are difficult to share between institutions due to patient confidentiality, IT restrictions, and limited local machine learning expertise. Feder...

To experimentally quantify a radiotherapy beam ramp-up to treatment output, de-tuning effects, and linac dose rates for a 6 MV photon beam from two radiotherapy linac vendors.

To develop a 3D unified deep learning model for predicting dose distribution of various sites and protocols by conditioning the model using text-embedding representation for each protocol.

To evaluate whether a commercial pre-plan feasibility tool can predict treatment plan achievability and performance against TG-218–recommended measurement-based IMRT QA criteria and TG-219 secondary dose calculation agreement.

Organ at risk dose limits as a function of varying fractionation scheme are conveniently given in the well-known “Timmerman tables”. Application of these limits in the re-treatment environment using the LQ approach (EQD2) can lea...

In 2021, helically acquired CTDI was introduced as an alternative measurement methodology to the traditional, axially acquired CTDI, with a later ACR sponsored study published in 2024. Both publications claim that the accuracy of...

Direct-to-treatment radiotherapy eliminates CT simulation and pre-planning, reduces consultation-to-treatment intervals from weeks to hours. This study evaluated the feasibility of an ultra-hypofractionated whole-breast workflow...

Spot-scanning proton arc therapy(SPArc) delivers pencil beam scanning dose during continuous gantry rotation and its dosimetry depends on the underlying beam model particularly lateral spot size. This study evaluated the impact o...

Occasionally radiation therapy staff accidentally place their personal radiation dosimeter badges in the laundry. This study assessed the effects of standard household laundry wash/dry cycles on the dose readings of Landauer Luxe...

AGuIX nanoparticles, composed of a polysiloxane core with gadolinium chelates, are a theranostic agent, providing both MRI contrast and radiosensitization. The ongoing NanoBrainMets clinical trial looks to evaluate the therapeuti...