Administrative And Clinical Impacts Of Theranostic Program Expansion In Nuclear Medicine,
2026
The University of Texas MD Anderson Cancer Center
Administrative And Clinical Impacts Of Theranostic Program Expansion In Nuclear Medicine, Karmela Kljajic Pascual
Radiologic Sciences
Purpose To synthesize current evidence on theranostic trials, nuclear medicine clinical workflow models, and organizational readiness, with a focus on how healthcare organizations and medical imaging leaders are adapting to the rapid expansion of theranostic services.
Method A comprehensive search was conducted across Scopus, PubMed, MEDLINE, and Google Scholar. Inclusion criteria required peer‑reviewed articles published between 2002 and 2026 addressing nuclear medicine leadership, theranostic implementation, workflow design, and organizational factors influencing theranostic program development. Exclusion criteria removed editorials, blog posts, and nonpeer‑reviewed sources.
Results Four major themes emerged: workforce and staffing demands, infrastructure and resource requirements, regulatory and administrative pressures, …
Evaluating The Safety Of Mr Exposure For Electronic Devices And Implants: A Literature Review,
2026
The University of Texas MD Anderson Cancer Center
Evaluating The Safety Of Mr Exposure For Electronic Devices And Implants: A Literature Review, Molly O'Dowd
Radiologic Sciences
Purpose To review literature examining the factors that determine magnetic resonance (MR) compatibility of electronic implants and wearable devices, including device materials, engineering design, regulatory approval processes, and clinical monitoring requirements.
Method An integrative literature review was conducted using peer-reviewed literature addressing MR safety and device compatibility. Databases searched included PubMed, Wiley Online Library, ScienceDirect, and Google Scholar. Studies were selected based on relevance to MR safety classifications, device design considerations, regulatory labeling, and monitoring requirements.
Results The literature demonstrated that MR compatible devices are engineered and tested to meet regulatory safety standards and approved for use under specific scanning …
Application Of Lean Six Sigma Strategies To Improve Diagnostic Imaging Departmental Performance Metrics: A Literature Review,
2026
The University of Texas MD Anderson Cancer Center
Application Of Lean Six Sigma Strategies To Improve Diagnostic Imaging Departmental Performance Metrics: A Literature Review, Obinna Newman Osuji
Radiologic Sciences
Purpose To systematically evaluate the effectiveness of Lean and Six Sigma quality improvement approaches in enhancing diagnostic imaging workflows and departmental financial performance.
Method Literature for this review was retrieved from Scopus, CINAHIL Plus, PubMed, and Healthcare Administration Database in February and March 2026. Empirical studies and literature reviews were included if they addressed the utilization of Lean Six Sigma, Lean, or Six Sigma as a method of quality improvement within a diagnostic imaging departmental setting.
Results Database searches generated 1,624 articles, and 17 were deemed suitable for inclusion in the study. There were four studies that directly measured patient …
Assault Vs. Assistance: Radiologic Technologist Decision-Making When Fall-Risk Patients Decline Assistance,
2026
The University of Texas MD Anderson Cancer Center
Assault Vs. Assistance: Radiologic Technologist Decision-Making When Fall-Risk Patients Decline Assistance, Pamela O'Dowd
Radiologic Sciences
Purpose To explore how radiologic technologists experience and respond to situations involving fall-risk patients who decline assistance during imaging procedures.
Method A cross-sectional survey design was used to collect data from practicing radiologic technologists recruited through the American Society of Radiologic Technologists. Descriptive statistics, including frequencies and percentages, were analyzed using SPSS to summarize participant responses, and a thematic analysis was conducted on open-ended responses.
Results A total of 87 respondents completed the survey. Results indicated that encounters with fall-risk patients who refuse assistance are common in clinical imaging practice. Sixty-three (72.4%) technologists reported having experienced situations in which a …
Magnetic Resonance In Pregnancy: Safety Considerations, Contrast Risks, And Imaging Modality Alternatives,
2026
The University of Texas MD Anderson Cancer Center
Magnetic Resonance In Pregnancy: Safety Considerations, Contrast Risks, And Imaging Modality Alternatives, Lizzette Valdez
Radiologic Sciences
Purpose To examine the safety of magnetic resonance (MR) during pregnancy by evaluating fetal outcomes, contrast agent risks, and the comparative roles of MR, ultrasound, and computed tomography (CT) in prenatal imaging.
Method A literature review was conducted using PubMed and peer-reviewed radiology journals to identify studies evaluating MR safety during pregnancy. The review examined fetal and neonatal outcomes following prenatal MR exposure, trimester-specific imaging considerations, risks associated with gadolinium-based contrast agents, and comparisons among MR, ultrasound, and CT.
Results Three primary themes emerged: (a) noncontrast MR demonstrated a strong safety profile with no consistent association with adverse fetal or …
Comparing Ai-Generated And Human-Written Radiology Reports: Evidence From The Literature,
2026
The University of Texas MD Anderson Cancer Center
Comparing Ai-Generated And Human-Written Radiology Reports: Evidence From The Literature, Lakenya Webb
Radiologic Sciences
Purpose To evaluate the current evidence comparing artificial intelligence (AI)-generated radiology reports with radiologist-written reports, emphasizing diagnostic accuracy, clinical reasoning, workflow efficiency, and patient safety.
Method A literature review was performed using peer-reviewed articles identified through The University of Texas MD Anderson Cancer Center Research Medical Library. Studies evaluating AI-generated radiology reports were analyzed using AI-assisted thematic synthesis to identify recurring patterns related to report quality, diagnostic performance, and clinical implementation.
Results The literature consistently identified three overarching themes: (a) AI-generated reports demonstrated improvements in structured reporting and factual consistency but exhibited variable diagnostic accuracy; (b) current AI systems had …
Deep Learning Reconstruction In Pediatric Ct Imaging,
2026
The University of Texas MD Anderson Cancer Center
Deep Learning Reconstruction In Pediatric Ct Imaging, Cody Wyatt
Radiologic Sciences
Purpose To synthesize current evidence on dose optimization using deep learning reconstruction (DLR) with emphasis on computed tomography (CT), pediatrics, contrast to noise ratio (CNR), signal to noise ratio (SNR), and radiation dosage.
Method The methodology was a systematic literature review, synthesizing peer-reviewed literature on the use of DLR in pediatric CT. Databases searched included Scopus, IEEE Xplore, and Web of Science. Keywords include combinations of deep learning reconstruction, DLR, CT, pediatric, dose, and optimization. Boolean operators were used to refine search results.
Results Three themes emerged: dosage reduction, noise reduction, and improved spatial resolution with the use of DLR …
National Pacs And Electronic Health Records: Considerations, Challenges, And Implications For Radiomics,
2026
The University of Texas MD Anderson Cancer Center
National Pacs And Electronic Health Records: Considerations, Challenges, And Implications For Radiomics, Darchelle Scott
Radiologic Sciences
Purpose To examine the considerations, challenges, and implications of implementing a national picture archiving and communication system (PACS) integrated with electronic health records (EHRs), with particular emphasis on interoperability, radiomics, and patient-centered data sharing.
Method A systematic literature review was conducted using books, peer-reviewed articles, original research studies, and government publications addressing radiomics, TEFCA, blockchain technology, PACS, and EHR integration. Literature was analyzed to evaluate national health information exchange, radiomics applications, and implementation challenges associated with a connected healthcare infrastructure.
Results Three primary themes emerged: (a) interoperable national PACS and EHR systems have the potential to improve continuity of care …
A Misplaced Pocket Of Air: Intramural Gastric Air Most Consistent With Gastric Emphysema,
2026
Aga Khan University
A Misplaced Pocket Of Air: Intramural Gastric Air Most Consistent With Gastric Emphysema, Priyanka Panwar, Lavender Otom, Subo Marsa, Gerald Odong, Steven Idet, Irene Muchiri, Hussein Abdulsamad, John Odhiambo, Christopher Opio, Amos Mwasamwaja, Saleem Abdulkarim
Internal Medicine, East Africa
Background Gastric emphysema (GE), or gastric pneumatosis, is a rare, noninfectious cause of intramural gastric air that must be distinguished from emphysematous gastritis (EG), a highly lethal infectious entity. Despite similar radiographic appearances, these conditions differ substantially in etiology, clinical course, management, and prognosis.
Cases We report three hemodynamically stable patients with CT-confirmed intramural gastric air most consistent with GE. Two had associated portal venous gas. The cases occurred in distinct clinical contexts: infectious gastroenteritis with retching, transient midgut volvulus with obstructive gastric overdistension, and alcohol-related upper gastrointestinal bleeding with forceful vomiting and a Mallory–Weiss tear. Although early EG could …
Ai-Driven Segmentation And Volumetric Response Modeling Of Liver Regions To Radiotherapy,
2026
The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences
Ai-Driven Segmentation And Volumetric Response Modeling Of Liver Regions To Radiotherapy, Aashish Chandra Gupta
Dissertations and Theses (Open Access)
In liver-directed radiotherapy (RT), liver regions receiving higher doses typically undergo atrophy while contralateral/adjacent lower-dose regions may exhibit compensatory hypertrophy through regeneration of healthy tissue. Optimizing the RT plan to promote regional hypertrophy while minimizing the risk of developing atrophy has the potential to enhance post-RT liver function and long-term survivorship. However, current clinical practice largely relies on global liver dose-volume metrics during RT-planning, which may obscure favorable dose-response correlation and limit actionable guidance for clinicians. Therefore, we hypothesized that post-RT regional liver response is governed by a combination of region-specific dose-volume and patient clinical features, and that these responses …
Developing A Deep-Learning Model To Segment White Matter Lesions In Cerebral Palsy,
2026
Children's Mercy Kansas City
Developing A Deep-Learning Model To Segment White Matter Lesions In Cerebral Palsy, Varsha Kumar, Hyukjin Yun, Rose N. Gelineau-Morel, Avner Meoded
Posters
No abstract provided.
Computed Tomography Findings Of Normal Appendix In Pediatric Population,
2026
Department of Radiology, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital
Computed Tomography Findings Of Normal Appendix In Pediatric Population, Thanwarat Koonthong, Teerasak Phewplung*
Chulalongkorn Medical Journal
Background: Appendicitis remains the most common indication for emergency abdominal surgery in children. Computed tomography (CT) plays a vital role in the evaluation of pediatric patients with suspected appendicitis. Yet, there is limited of literature describing the normal appendiceal diameter in the pediatric Asian population.
Objectives: To characterize the normal pediatric appendix and to identify the variables that influence its diameter in pediatric patients aged one day to 18 years who underwent abdominal CT.
Materials and Methods: The study was approved by the IRB. We conducted a retrospective study of 358 children (≤18 years of age) who underwent abdominal CT …
Hiding In Plain Sight: A Case Of Intestinal Tuberculosis Masquerading As Benign Lower Gi Bleeding,
2026
Aga Khan University
Hiding In Plain Sight: A Case Of Intestinal Tuberculosis Masquerading As Benign Lower Gi Bleeding, Lavender Otom, Priyanka Panwar, Gerald Odong, Fatma Kassim, Patricia Okiro, Christopher Opio, Saleem Abdulkarim
Internal Medicine, East Africa
Background Intestinal tuberculosis (TB) represents the most common form of abdominal TB, often affecting the ileocaecal region. Lower gastrointestinal bleeding is an uncommon presentation and may create significant diagnostic uncertainty, particularly in immunocompromised patients and in settings where inflammatory bowel disease is also encountered.
Case Presentation A woman in her sixties from Africa presented with recurrent diarrhoea and intermittent haematochezia over a 6-month period. Initial endoscopic evaluation was nondiagnostic. Cross-sectional imaging later demonstrated multifocal bowel involvement affecting both the small and large bowel, including ileocaecal and rectoanal disease, with associated abdominopelvic lymphadenopathy. Histopathology from repeat colonoscopy biopsy showed caseating granulomas …
Fractured Focus: Understanding Stress In Second-Year Radiologic Science Students Across Alabama,
2026
University of South Alabama
Fractured Focus: Understanding Stress In Second-Year Radiologic Science Students Across Alabama, Kelsi Clotfelter
Honors Theses
Higher education is a period of rapid transition and growing responsibility, where stress often becomes a routine part of students’ lives. In health professional programs, the combined demands of intensive coursework and clinical training can intensify emotional strain and negatively affect overall well-being. Radiography students experience uniquely high levels of academic, clinical, and emotional stress due to the simultaneous demands of didactic coursework, competency-based clinical training, and high-stakes professional expectations. A cross-sectional mixed-methods study was employed to evaluate the prevalence, sources, and perceived impact of stress among second-year radiography students across multiple Alabama institutions with the goal of identifying strategies …
Regional Hemodynamic Characterization Of The Thoracic Aorta Using 4d Flow Mri: A Single-Center Pilot Study,
2026
McGovern Medical School at UTHealth Houston
Regional Hemodynamic Characterization Of The Thoracic Aorta Using 4d Flow Mri: A Single-Center Pilot Study, John H. Major
Summer Research Program Abstracts
No abstract provided.
Ai-Segmented Upper Airway Imaging Biomarkers Across The Lifespan,
2026
University of Texas Health Science Center at Houston
Ai-Segmented Upper Airway Imaging Biomarkers Across The Lifespan, David L. Holt, Vishwa S. Parekh
Summer Research Program Abstracts
No abstract provided.
Population-Level Eligibility For Bonemri As A Radiation-Free Alternative To Spine Ct,
2026
University of Texas Health Science Center at Houston
Population-Level Eligibility For Bonemri As A Radiation-Free Alternative To Spine Ct, Niels Levy-Thiebaut, Timothy Borden Md
Summer Research Program Abstracts
No abstract provided.
Imaging And Non-Imaging Approaches For The Diagnosis And Monitoring Of Necrotizing Enterocolitis-What Lies Ahead?,
2026
Children's Mercy Kansas City
Imaging And Non-Imaging Approaches For The Diagnosis And Monitoring Of Necrotizing Enterocolitis-What Lies Ahead?, Indrani Bhattacharjee, Catalina Le Cacheux, Eric B. Ortigoza, Jonathan Dillman, Sherwin S. Chan, Alain Cuna
Manuscripts, Articles, Book Chapters and Other Papers
Necrotizing enterocolitis (NEC) remains one of the most serious gastrointestinal emergencies in preterm infants, and imaging plays a central role in diagnosis and clinical management. Historically, evaluation has relied primarily on abdominal radiography, which remains widely available and embedded in established diagnostic frameworks. However, the hallmark radiographic signs of NEC (i.e., pneumatosis intestinalis, portal venous gas, and free air) reflect relatively advanced manifestations of intestinal injury that indicate established mucosal disruption or transmural necrosis. Bowel ultrasound has increasingly complemented radiography by enabling real-time assessment of bowel wall integrity, perfusion, motility, and intra-abdominal fluid, providing physiologic information that may refine clinical …
Mri-Based Deep Learning Radiomics Model For Automated Classification Of Disc Degeneration In The Lumbar Spine,
2026
Thomas Jefferson University
Mri-Based Deep Learning Radiomics Model For Automated Classification Of Disc Degeneration In The Lumbar Spine, Shiv Patil, Om Gandhi, Mert Karabacak, Matthew Carr, Konstantinos Margetis
Student Papers, Posters & Projects
Disc degeneration in the lumbar spine is a major cause of low back pain (LBP). The accurate grading of disc degeneration on magnetic resonance imaging (MRI) is critical for clinical management and patient selection for spine surgery. This study aims to develop and evaluate machine learning (ML) models that combine features from deep learning (DL) and radiomics for the automated prediction of Pfirrmann grade (PG), a measure of disc degeneration, using multi-parametric lumbar spine MRI. Sagittal T1, T2, and T2 SPACE MRIs of 218 patients with LBP were acquired from the SPIDER dataset. For each intervertebral disc and available sequence, …
A Multi-Agent Large Language Model Framework To Automatically Assess Performance Of A Clinical Ai Triage Tool,
2026
Thomas Jefferson University
A Multi-Agent Large Language Model Framework To Automatically Assess Performance Of A Clinical Ai Triage Tool, Adam Flanders, Yifan Peng, Luciano Prevedello, Robyn Ball, Errol Colak, Prahlad Menon, George Shih, Hui-Ming Lin, Paras Lakhani
Department of Radiology Faculty Papers
Radiology reports can be used as a surrogate for performance of clinical AI tools. Radiology reports were analyzed by an ensemble of eight open-source LLM models and a internal version of GPT-4o using a single multi-shot prompt that assessed for presence of ICH. Performance of the open-source models, consensus of models and GPT-4o were compared to human report review. Three ideal consensus LLM ensembles were tested for rating the performance of the triage tool. The capability of each LLM varied. The highest AUC performance was achieved with llama3.3:70b and GPT-4o. Using MCC the ideal combination of LLMs were: Full-9 Ensemble, …
