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Rank #16 · 55 unique linked submissions.
People
High linear energy transfer (LET) IMNT faces practical delivery constraints: low output rates (~55 MU/min), manual gantry and couch rotations (~3-5 min/field), and mandatory wait times (~1-2 min/field) for neutron activation concerns. Our standard-of-care (SO...
Shortages of trained medical physicists persist across Africa. Needs-assessment surveys were utilized to determine trainee interest and medical physics curricular gaps to aid in design of hands-on outreach workshops for the African School of Physics, a severa...
Contrast-enhanced single-energy CT (SECT) scans provide superior image contrast and better differentiation of the target volume and vascular structures compared to non-contrast CT scans at the cost of deteriorated dose calculation due to the high density of t...
Brachytherapy is a standard component in cervical cancer treatment. Venezia applicators allow addition of limited needle positions to tandem and ovoid procedures, but needle selection and insertion depth largely rely on physician judgement, requiring some lev...
Open-ended survey responses are extremely valuable since participants voluntarily share insights that they feel are necessary to express. The purpose of this study is to accurately reflect members’ perception of the AAPM climate, through analysis of open-ende...
To quantify Gamma Passing Rate (GPR) volatility in SBRT QA caused by the spatial coincidence of helical diode arrays (10 mm pitch) with high-gradient fields. While 3%/2mm criteria reduce alignment artifacts, more sensitive 3%/1mm criteria are recommended for...
Uncertainty-aware multimodal biomarker-guided treatment response prediction in metastatic NSCLC remains a critical unmet need to support robust therapy selection and adaptation over time. We developed a multimodal framework integrating FDG-PET, T-cell recepto...
Education is a core professional responsibility for medical physicists, yet most receive limited formal training in pedagogy or instructional design. Recognizing this gap, the American Association of Physicists in Medicine (AAPM) established the Community of...
Medical physics patient consults are increasingly used to support patient understanding during radiotherapy and yet there is no consensus in the medical physics community as to what communications methods are most effective. We characterized patient-generated...
Diagnostic and Interventional Radiology Physics
Total body, marrow, and lymphoid irradiation represent some of the most complex and technically demanding areas in modern radiation therapy. Total body irradiation, in particular, plays a crucial role in the management of certain leukemias and lymphomas, serv...
Treatment plan review is normally focused on ensuring the quality of individual plans. However, what begins as a routine treatment plan review can occasionally result in hard-earned lessons that lead to significant improvements in clinical practice -- lessons...
Lung cancer is a leading global malignancy with high mortality. Radiotherapy is a critical treatment; however, current planning often suffers from subjective dose settings and side effects. This study aims to use a Conditional Generative Adversarial Network (...
Linear accelerator (LINAC) coordinate system conventions have historically evolved heterogeneously, with vendors and institutions adopting mixed non-IEC standards. While clinically functional, this lack of uniformity introduces added complexity and potential...
Manual plan checking is time-consuming and prone to variability across reviewers. To improve consistency and reliability in the plan-check workflow, we developed a fully automated RayStation plan-check system that performs more than 30 checks across eight key...
The underlying mechanisms of radiation-induced lymphocyte depletion are not fully understood. Our goal is to determine if the observed depletion in circulating lymphocytes after radiotherapy is solely due to cell kill, or if changes in cell migration dynamics...
The Russian invasion of Ukraine has significantly disrupted radiation therapy (RT) services, highlighting the urgent need to replace Cobalt-60 machines and modernize infrastructure and training across 43 RT centers. In response, Help Ukraine Group (HUG) and R...
Proton radiation therapy (PRT) is an effective modality for ocular cancers. Substantial evidence indicates that proton relative biological effectiveness (RBE) increases with linear energy transfer (LET). In vitro DNA double-strand break (DSB) and cell surviva...
While CT imaging has advanced with improved machine design, further diagnostic information can be achieved by enhancing sensitivity to high-Z therapeutic agents. Current photon-counting CT (PCCT) k-edge imaging sensitivity is limited by spectral overlap betwe...
A web-based quality assurance (QA) management platform can reduce clinic hardware and software needs while streamlining QA workflows through improved accessibility, trend tracking, and automated failure notifications. This study reports on the implementation...
Stereotactic arrhythmia radiotherapy (STAR) is a promising noninvasive treatment for cardiac arrhythmias. Traditional motion expansion PTVs are well-suited to oncology but little is known about their use for STAR. We propose and evaluate a novel myocardial ta...
Surface Guided Radiation Therapy (SGRT) systems are increasingly used for patient positioning and motion management in radiotherapy. However, their performance may be influenced by variations in patient skin tone, as differences in optical absorption and refl...
VMAT total body irradiation (TBI) planning is complex and time-intensive, involving multiple isocenters, junction management, and iterative hotspot control. Many automation approaches still require repeated user interaction, limiting efficiency gains. This wo...
Current clinical toxicity models for predicting radiation-induced pneumonitis are limited by lack of functional information; furthermore, current practice assumes a relative biological effectiveness (RBE) of 1.1 for proton therapy patients. We hypothesize tha...
Early body composition (BC) loss after chemotherapy associates with poor outcomes in PDAC, but its implications for treatment strategy remain unclear. Radiotherapy (RT) is sometimes considered after 6 months of chemotherapy for patients with unresectable dise...
Many Artificial intelligence (AI) applications have been developed recently to improve the quality and efficiency of radiotherapy processes. Despite the success of image-based applications such as autocontouring, AI models trained with alphanumeric clinical d...
To evaluate signal-to-noise ratio (SNR) estimates from polynomial fitting of the ACR MRI phantom signal intensity using accelerated imaging techniques and AI-assisted reconstruction and compare against accepted SNR measurement methods based on repeated acquis...
Open-source radiotherapy quality assurance (OSQA) tools are increasingly available and offer potential value in resource-constrained settings. However, clinical adoption remains limited by gaps in validation, standardization, and implementation guidance, rath...
To explore the potential of diffusion-weighted spectroscopy to estimate lipid droplet diameter with short acquisition times (< 30 s).
Ultra-high Dose-Rate (UHDR) radiotherapy challenges conventional dosimetry methods. Optical calorimetry (OC) enables direct, dose-rate-independent measurement of spatially and temporally resolved dose-to-water distributions. This work validates OC as a dosime...
To determine optimal scan and reconstruction parameters of a novel dual-energy CT (DECT) scanner for radiotherapy treatment planning across different patient scenarios.
Phase II and III clinical trials establish standards of care in radiation oncology; however, achieving equivalent clinical outcomes in routine practice depends on the reproducible implementation of trial protocols. We systematically evaluated whether publishe...
Multiscale treatment response prediction in advanced NSCLC enables spatially informed dose painting, yet prediction point estimates alone do not convey the uncertainty required for adaptive therapy decision support. We developed a multiscale conformal predict...
This study assesses whether log-file based patient-specific QA can reliably substitute for measurement-based QA by evaluating correlations between detector-based and log-file based gamma pass rates across multiple plan types and gamma criteria.
Physics plan and chart review is one of the most effective QA processes to identify high-severity errors in radiotherapy treatments; mastering it is crucial for our residents. However, exposure to such errors during training is limited, making it challenging...
Patients receiving radiotherapy (RT) for liver cancer have limited liver function reserves, which increases risk of radiation-induced liver injury, but tools to evaluate functional response post-RT are lacking. We modeled liver function changes on 99mTc sulfu...
Determine if linguistic differences are present in letters of recommendation (LOR) for applicants to medical physics residency programs (MPRPs).
Diagnostic and Interventional Radiology Physics
ESTRO–AAPM Joint Program in Trial Design for Medical Physicists: Moving Past QA into Clinical Trials for Oncologic Outcomes and Biomarker Applications puts physicists at the center of evidence generation. This panel‑workshop reframes the physicist’s role from...
To develop artificial intelligence (AI) methods with improved repeatability and reproducibility, a recognized need is for large, publicly available, and curated imaging data sets. Notable public repositories of DICOM images exist, including the Medical Image...
The recent clinical trials to evaluate novel dose and fractionations, including for non-malignant conditions, may change the clinical role and scope of RT practice. Clinical trials are ongoing to evaluate the use of RT to treat non-malignant conditions such a...
Therapy Physics
Stereotactic arrhythmia radioablation (STAR), a non-invasive treatment option for refractory ventricular tachycardia (VT), faces challenges from combined respiratory and cardiac motion, necessitating large target margins or motion mitigation. Respiratory gati...
Focused on the "fringes" of Medical Physics - in line with AAPM strategic plan - expanding beyond the current boundaries of Medical Physics. Collecting non-traditional science that belongs/should belong to medical physics. Fun, stimulating, and thought-provok...
Professional
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.
Accurate assessment of early radiotherapy response in tumors provides crucial guidance for optimizing radiotherapy protocols. We developed a 3D deep learning model termed Attention Med3D based on transfer learning and attention mechanisms for predicting mid-t...
Professional
Therapy Physics
Accurate identification of high-risk and low-risk tumor subregions enables radiographers to customize radiation dose distributions for biologically adaptive therapies. This study proposes a 3DUNET-GMM model that integrates 3D-UNet feature extracting with Gaus...
Prospective Hazard Analysis (PHA) plays an increasingly central role in modern radiation therapy, spurred by the formation and publication of AAPM Task Group 100 in 2016 [Huq MedPhys 2016]. TG 100 identified that many errors that occur in radiation oncology a...
Accurate prediction of tumor response during chemoradiotherapy is essential for treatment optimization but remains challenging. We developed a deep learning model based on a Dual Path Network (DPN), which is a hybrid architecture combining elements of ResNet...
Diagnostic and Interventional Radiology Physics
The purpose of this work was to develop a user-friendly software package that could be used as a simulation and training tool for brachytherapy. This web-based tool was designed particularly to meet the needs of students, residents and clinicians who may not...