Radiology Commons^™

Immune Checkpoint Inhibitor-Associated Perioptic Neuritis, Neud Kiros, Alina Sinha, Anant Krishnan

Conference Presentation Abstracts

Clinical History A 47-year-old male with history of stage IV gastric cancer on nivolumab presented with blurry vision worse at close distances. Binocular horizontal diplopia was found on exam. Fundus exam demonstrated 4+ disc edema and hemorrhage bilaterally. Recent head MRI was negative for leptomeningeal enhancement. MR venogram and MRI orbits with contrast were ordered as well as lumbar puncture. The patient’s next dose of immunotherapy was held. Opening pressure was normal, and MRV showed no evidence of dural sinus thrombosis. MRI of the orbits was positive for perioptic neuritis bilaterally, and the patient was started on a steroid taper …

A Pain That Wouldn't Sleep: Osteoid Osteoma Masquerading As Lateral Epicondylitis, Madelyn Bagley, Luca Halalau, Aimee Espinosa, Terrence Metz

Conference Presentation Abstracts

Osteoid osteoma is a benign osteogenic tumor that accounts for approximately 10% of all benign bone tumors and predominantly affects adolescents and young adults. It classically presents with nocturnal pain that responds dramatically to nonsteroidal anti-inflammatory drugs, a feature attributed to increased prostaglandin production within the nidus. The femur and tibia are most commonly involved, whereas upper extremity lesions are relatively uncommon. A 19-year-old male presented with nearly two years of chronic, progressive left lateral elbow pain and left wrist weakness. The pain was nocturnal, radiated along the left arm, and was markedly relieved by nonsteroidal antiinflammatory drugs. He was …

When The Eagle Strikes The Vein: A Case Of Styloid-Induced Venous Sinus Thrombosis, Neud Kiros, Ahmad Chehab, Abeer Abukamil, Ali Luqman, Kamil Abu-Shaban, Mehdy Haidar, Ay-Ming Wang

Conference Presentation Abstracts

Clinical History 41-year-old male with no prior relevant medical history presented to the emergency department with severe neck pain and occipital headaches radiating bilaterally to the temporal regions. He also reported diplopia and “tunnel vision.” He had presented two weeks earlier with similar symptoms and was advised outpatient follow-up. Initial CT head and cervical spine were unremarkable. Imaging Findings Brain MRI/MRV demonstrated heterogeneous signal and enhancement in the left transverse and sigmoid sinuses and jugular bulb, initially thought to reflect possible motion artifact. However, CT venography was recommended for further assessment. The MRI also showed subtle left posterior occipital subdural …

Diffuse Marrow And Orbital Fat Signal Abnormality Mimicking Infiltrative Disease: A Case Of "Flip-Flop" On Mri, Mehdy Haidar, Alexander Pietroski, Kamil Abu-Shaban, Anant Krishnan

Conference Presentation Abstracts

Clinical History A 68-year-old male with a history of left tonsillar squamous cell carcinoma treated 5 months ago and reportedly negative recent PET and CT scans of the neck and body with eye pain with possible but uncertain remote history of trauma was sent in for imaging of the orbits. The patient has a feeding tube and was recently hospitalized and discharged for tube obstruction. Imaging Findings Orbital imaging revealed diffuse signal alterations involving the orbital and scalp fat, and marrow, characterized by low signal intensity on T1WI and high signal intensity on T2WI. In particular on the STIR sequence, …

Bridging Access Gaps In Radiotherapy: Knowledge-Based Planning In A Resource-Constrained Clinical Setting, Milton E Ixquiac Cabrera, Erick O Montenegro, Matthew Schmidt, Baozhou Sun, James A Kavanaugh, Taoran Li, Angel Velarde, Vicky De Falla, Francisco Reynoso

Faculty, Staff and Students Publications

Background/purpose: Radiotherapy access in low- and middle-income countries (LMICs) is severely limited by shortages of trained personnel, high patient volumes, and large waiting times for manual treatment planning. Knowledge-based planning (KBP) has shown promise in high-income settings, yet its feasibility in resource-constrained environments remains underexplored. This study aimed to evaluate the feasibility of adapting a KBP model developed at a high-income institution for clinical use at Liga Nacional Contra el Cáncer (LNCC) in Guatemala for gynecological radiotherapy planning.

Materials and methods: A RapidPlan KBP model (Varian-Siemens Healthineers, Palo Alto, CA, USA) originally developed at Washington University in St. Louis using …

A Multi-Institutional Epid-Based 3d Dose Reconstruction Model In A Virtual Phantom For Standardized Patient Qa, Benchmarking And Auditing For Stereotactic Radiosurgery, Benjamin Zwan, Emily Searle, Cameron Stanton, Ching-Ling Teng, Seng Boh Lim, Andrew Dipuglia, Richard Popple, Michael Lovelock, Ashley Cullen, Conor K Mcgarry, Victoria Robinson, Sergei Zavgorodni, Baozhou Sun, Xiaodong Zhao, Matthew Schmidt, Juan-Francisco Calvo-Ortega, Gemma Warner, Andrew Cousins, Michael Barnes, Peter Greer

Faculty, Staff and Students Publications

Background and purpose: For single-isocentre multi-target (SIMT) stereotactic radiosurgery (SRS), benchmarking, auditing and inter-institutional standardisation of dose verification remain challenging as they require specialized equipment and expertise. This work aims to develop and validate an electronic portal imaging device (EPID)-based technique to determine 3D dose in a virtual spherical phantom which is applicable across institutions for SIMT SRS dose verification.

Materials and methods: Small-field output factors from 11 international centres were measured in-water for the TrueBeam linear accelerator, including jaw-defined and high-definition multi-leaf collimator (MLC) fields from 0.5 × 0.5 to 20 × 20 cm2 and depths from 1.5-20 cm. …

Technical Development, Optimization, And Clinical Implementation Of Quantitative Magnetic Resonance Imaging Methods For Radiation Oncology, Lucas Mccullum

Dissertations and Theses (Open Access)

Magnetic resonance imaging (MRI) has gradually grown more important in the field of radiation oncology. This paradigm shift has grown from initial experiments with MRI of cancerous lesions in the early 1970s, to the integration of MRI images for radiation therapy treatment planning (i.e., MRI-Simulation) in the early 1980s, to the combined MRI linear accelerator (MR-Linac) becoming commercially available in 2018 which can simultaneously image a tumor and treat it with radiation. However, due to its novelty in radiation oncology, its full potential for the integration of quantitative MRI-based biomarkers has yet to be fully realized.

Therefore, this dissertation will …

Reinforcement Learning Improves Llm Accuracy And Reasoning In Disease Classification From Radiology Reports, Yishu Wei, Yi Lin, Adam Flanders, George Shih, Yifan Peng

Department of Radiology Faculty Papers

Accurate disease classification from radiology reports is essential for many applications. While supervised fine-tuning (SFT) of lightweight LLMs improves accuracy, it can degrade reasoning. We propose a two-stage approach: SFT on disease labels followed by Group Relative Policy Optimization (GRPO) to refine predictions by optimizing accuracy and format without reasoning supervision. Across three radiologist-annotated datasets, SFT outperformed baselines and GRPO further improved classification and enhanced reasoning recall and comprehensiveness.

From Pages To Practice: Course Design For Integrative And Connected Learning, Prutha Deshpande

UNLV Best Teaching Practices Expo

The poster provides resources for the design of courses to incorporate considerable reading, paired with purposeful activities and reflection questions that deepen understanding of key points of learning, support knowledge transfer, and encourage dialogue and connection.

“Finding From The Field”—An Approach To Encourageexperiential And Epistemological Reflection, Julian Kilker

UNLV Best Teaching Practices Expo

The “Findings from the Field” teaching practice asks students to document and analyze experiences, locations, or artifacts encountered outside the classroom. While traditional field trips emphasize experiential learning by, ideally, linking course concepts to real-world experiences, this “Findings from the Field” approach extends this model through epistemological reflection guided by annotating observations. Students are prompted to consider not only what they observe, but how they know what they know, encouraging metacognition about observation, experience, and empirical research.

Optimization Of Pediatric Multidetector Ct Imaging Parameters Using A Machine Learning–Based Monte Carlo Simulation Model, Ali O. Masoud, Adithya Rajnaryanan, Khamis O. Amour, Ahmed M. Jusabani, Justin E Ngaile, Manoj Kumar, Mwingereza John Kumwenda Dr

Tanzania Journal of Science

This study utilized Monte Carlo (MC) simulations to optimize radiation doses in pediatric multidetector computed tomography (MDCT) head scans by analyzing key parameters like tube current (mA), tube voltage (kV), pitch, and slice thickness. The findings indicate that reducing tube current significantly lowers the Computed Tomography Dose Index (CTDIvol) and Dose Length Product (DLP), effectively minimizing patient radiation exposure. Higher pitch values (0.7–0.9) further reduced radiation by decreasing beam overlap, while using a thinner slice thickness (0.6 mm) improved dose efficiency. A comparison highlighted the effectiveness of optimization: simulated parameters kVp 100, mAs 81, pitch 0.98 yielded a CTDIvol of …

Spatial Computing With The Apple Vision Pro In Minimally Invasive Procedure Simulation: A Randomized Crossover Feasibility Study, Sydney Cooper, Aaron Kyle Jones, Rahul Anil Sheth, Koustav Pal, Bruno Odisio, Mark Blaylock, Shelita Kimble, Justin Bird, David Rice, Daniel Shoenthal, Emil Patel, Vipin Kamath, Sanjay Gupta, Jeffrey Siewerdsen, Joshua Kuban

Advances in Cancer Education and Quality Improvement

Purpose: This study aimed to evaluate the feasibility of wearing the Apple Vision Pro (AVP), a mixed-reality headset that integrates augmented and virtual reality, while performing minimally invasive procedures. While studies have demonstrated that spatial computing technology can improve surgical precision and reduce the risks of surgical complications, to our knowledge, no studies have specifically addressed the impact of the AVP on task performance during simulated image-guided procedures.

Materials and Methods: Thirteen diagnostic and interventional radiology residents performed image-guided central venous catheter placement, thoracentesis, and paracentesis on simulation models. Each participant completed a non-timed practice followed by the procedures once …

Utilization Of Hybrid Angiography-Ct Suites In An Interventional Oncology Practice, David Irwin, Kiyoyuki Minamiguchi, Ryosuke Taiji, Aaron Kyle Jones, Gouthami Chintalapani, Roland Bassett, Steven Y. Huang, Sanjay Gupta

Advances in Cancer Education and Quality Improvement

Purpose: To evaluate operational trends in an interventional oncology practice at a tertiary academic center before and after the addition of hybrid angiography–computed tomography (Angio-CT) rooms.

Materials and Methods: The procedure volumes and types performed in the hybrid Angio-CT rooms were retrospectively collected from 2016 to 2020. Procedures were divided into categories, including arteriography, endovascular interventional oncology, ablation, venous intervention, non-vascular catheter placement (biliary, nephrostomy, gastrostomy, etc.), and osseous interventions. Procedural trends in the Angio-CT rooms and the frequencies of combination procedures that used both CT and angiography were assessed.

Results: A major shift of catheter-based tumor-directed cases to Angio-CT …

Mapping Burdens And Inequalities Of Polycystic Ovary Syndrome In Young Females Across 953 Locations 1990–2040 With Deep Learning Forecasts, Yaling Wu, Wenxiang Cai, Mao Chen, Susu Luo, Robert J Norman, Mahnaz Bahri Khomami, Lisa Moran, Heping Zhang, Suhaniya N S Samarasinghe, Salman Rawaf, Davd A Ehrmann, Liming Pan, Kexin Ding, Shuxian Ma, Lili Zheng, Xian Shao, You Zuo, Baozhen Huang, Fei Li, Mingyang Xue, Tongrui Shang, Guangyao Cai, Yuanyuan Chen, Ying Wang, Yutong Lu, Dong Wang, Yuanyuan Wan, Ningning Wu, Ciqing Lin, Wei Pan, Rui Zhang, Tingting Yao, Yiming Xiong, Kai Chen, Jianli Zhao, Shunrong Li, Liling Zhu, Luyuan Tan, Yinduo Zeng, You Zeng, Lukasz Szarpak, Nadia M Hamdy, Claire Chenwen Zhong, Fa Yuan, Yihang Chu, Xiao Jia, Peng Wu, Linjiang Wei, Yanfang Ye, João Conde, Zimeng Wu, Jinjin Zhang, Yamei Tang, Pengpeng Ye, Dongzi Yang, Shixuan Wang, Azeem Majeed, Helena Teede, Wenyi Jin, Queran Lin

Faculty, Staff and Students Publications

Polycystic ovary syndrome (PCOS) is the most common reproductive endocrine disorder impacting the health of young female populations. Using harmonized estimates from 953 locations, we assessed temporal trends, geographic inequalities, and forecasts of PCOS among individuals aged 10-24 years from 1990 to 2040. Between 1990 and 2021, global prevalence and disability burden increased by more than 30%, with the highest burden observed among those aged 20-24 years. Substantial geographic heterogeneity was identified, with particularly high prevalence in Europe and East Asia. While high-income regions carried the greatest absolute burden, low- and middle-income regions showed the fastest growth, accompanied by widening …

Quick! Which Scanner Should The Patient Go To?, Nicholas Johnson, Farnaz Norozian

School of Medicine Research Poster Showcase

Introduction Rarely does a pediatric patient have a stroke, but when they do what imaging modality is best suited? EMS tele comes in activating a stroke alert. An 11 year old otherwise healthy male presented with 10 hours of left sided sensation changes, waking up with dense left hemiparesis.14 days prior he had been on amusement park rides resulting in headache with vomiting since resolved. On arrival, slight hypertension for age otherwise hemodynamically stable, glucose normal, EKG demonstrated sinus rhythm. No history of genetic blood or clotting disorder. PICU and ER attendings discussion resulted in MRI as the initial imaging …

A Tv-Bm3d Iterative Algorithm For Vmat-Ct Reconstruction, Chia-Lung Chien, Beibei Guo, Rui Zhang

Faculty, Staff and Students Publications

Volumetric modulated arc therapy-computed tomography (VMAT-CT), which is the CT reconstructed using the portal images collected during VMAT, can potentially be an effective onsite imaging tool. The goal of this study was to propose an iterative reconstruction algorithm that can further improve the image quality of VMAT-CT and reduce the number of failed reconstructions. An iterative algorithm combining total variation (TV) with block-matching and 3D filtering (BM3D) was proposed, addressing the L1-L2 regularization problem using the split Bregman method. We collected portal images from 67 VMAT cases including 50 phantom and 17 real-patient cases. Both Feldkamp-Davis-Kress (FDK) and TV-BM3D iterative …

Artificial Intelligence In Radiology: A Comparative Study Of Accuracy And Efficiency Across X-Ray, Ct, And Nuclear Medicine, Courtney J. Mello, Sophia D. Galvan, Britney R. Williams, Tuyen T. Thai, Phuong P. Mor, Saleha Zafar

Research Methods Poster Session 2026

Artificial intelligence (AI) is increasingly used in radiology to improve diagnostic accuracy and workflow efficiency; however, there is limited standardized research comparing its performance across imaging modalities. This study aimed to evaluate the accuracy and efficiency of AI in X-ray, computed tomography (CT), and nuclear medicine. A systematic review was conducted following PRISMA guidelines, analyzing peer-reviewed studies published between 2015 and 2025. Data were extracted on key performance metrics, including sensitivity, specificity, interpretation time, and error rates, to enable cross-modality comparison. Results demonstrated that AI achieved high diagnostic accuracy in X-ray imaging, with average sensitivity and specificity near 91% and …

Deep Learning Based Approaches For Low Cost Defense Detection, Adele J. Noel-Rickert

All NMU Master's Theses

Pulmonary fibrosis is a progressive interstitial lung disease characterized by the accumulation of fibrotic tissue within the lungs, leading to impaired respiratory function and reduced quality of life. Early detection is important for disease management; however, accurate diagnosis often relies on high-resolution computed tomography (CT), which may not be accessible in all clinical settings. Chest radiography provides a lower-cost and widely available imaging modality, but interpretation of chest X-rays for fibrotic disease can be challenging due to subtle radiographic patterns and overlapping anatomical structures. This thesis investigates the use of multimodal deep learning techniques to assist in pul- monary fibrosis …

Artificial Intelligence Decision Support In Automated Breast Ultrasound: Improving Diagnostic Accuracy And Reducing Unnecessary Biopsies, Chayaporn Hasdiseve, Jenjeera Prueksadee

Chulalongkorn Medical Journal

Background: Emerging roles of artificial intelligence support in breast imaging leads to improved radiologists’ performance

Objective: To assess the diagnostic performance of the artificial intelligence decision support in the evaluation of breast masses using automated breast ultrasound (ABUS).

Methods: 182 patients (415 breast masses) who received ABUS were included. Two readers, including the experienced breast radiologist (reader1) and the breast imaging fellow (reader2), separately reviewed the ABUS images and the artificial intelligence decision support according to the ACR BI-RADS 5^th edition.

Results: All of the 415 masses; 395 masses (95.2%) were benign and 20 masses …

Superior Mediastinal Cut-Off Measurements In Chest Radiographs For Screening Of Silent Thoracic Aortic Diseases, Kantheera Leesmidt, Boonyarit Sintuvikaiwong, Apichaya Sripariwuth

Chulalongkorn Medical Journal

Objective: To determine cut-off values for superior mediastinal width and the mediastinal width-to-thoracic cage ratio from chest radiographs for the early detection of unrecognized thoracic aortic diseases. Additionally, this study aims to enhance diagnostic strategies for identifying aortic abnormalities.

Materials and Methods: This retrospective analysis included 152 subjects who underwent both computed tomography angiography (CTA) of the thoracic aorta and chest radiograph between April 2007 and January 2021. Superior mediastinal width was measured at 3 levels on chest radiographs. Thoracic CTA findings were categorized into normal and abnormal groups, the latter comprising aortic dissection, intramural hematoma, penetrating atherosclerotic …