Digital Commons Network^™

High-Flow Nasal Cannula Oxygen Therapy Versus Standard Oxygen Therapy On Perioperative Outcomes In Patients Undergoing Transcatheter Aortic Valve Replacement, Kirsten B. Whiteside, Jacqueline M. Case

Graduate Theses, Dissertations, and Capstones

Abstract 

Background and Purpose: Transcatheter aortic valve replacement (TAVR) is increasingly performed under monitored anesthesia care (MAC) to facilitate faster recovery and reduce complications associated with general anesthesia. Standard oxygen therapy (SOT) may be insufficient in maintaining adequate oxygenation in this high-risk population. High-flow nasal cannula (HFNC) therapy has emerged as a potential alternative. This literature review evaluates the effects of HFNC compared with SOT on perioperative outcomes in patients undergoing TAVR under MAC. 

Methods: A comprehensive review of the literature was conducted to identify studies evaluating HFNC versus SOT during TAVR procedures performed under MAC. Six studies met inclusion …

Fast Mr Imaging: Reducing Sedation And Improving Patient Experience, Hajir Aljumaily

Radiologic Sciences

Purpose To examine the impact of fast magnetic resonance (MR) protocols on sedation requirements, patient tolerance, workflow efficiency, and diagnostic accuracy in musculoskeletal and brain imaging.

Method An integrative literature review was conducted using PubMed, CINAHL, and Google Scholar to identify peer-reviewed, original research articles published between 2019 and 2026. Studies were selected for relevance, human subjects, and outcomes related to sedation, patient experience, or diagnostic effectiveness.

Results Fast MR protocols were consistently associated with reduced sedation use, improved patient comfort, and increased exam completion rates. Workflow efficiency improved due to shorter scan times. Although minor reductions in image quality …

Disengagement And Reconnection: Investigating The Role Of Purpose And Identity Seeking Across Career Stages In Healthcare, Charmel Renee Jeffery

Radiologic Sciences

Purpose To examine the generational purpose gap in healthcare by identifying the psychological and environmental factors underlying early-career disengagement and late-career reconnection.

Method An integrative literature review was conducted using four academic databases. An artificial intelligence (AI)-assisted thematic synthesis was applied to extract and organize findings within a standardized analytic matrix. To ensure accuracy and rigor, all AI-generated outputs were validated against the original source data.

Results Two primary themes emerged. Early-career healthcare workers commonly experienced disengagement associated with destiny beliefs, while later-career professionals demonstrated renewed purpose and resilience despite ongoing stressors.

Discussion The findings revealed a pronounced generational divide …

Ai-Driven Multi-Modal Mr For Precision Oncology, Maneet K. Marwaha

Radiologic Sciences

Purpose To examine the role of artificial intelligence (AI) in multiparametric magnetic resonance (MR) imaging for precision oncology, with a focus on automated tumor segmentation, treatment response prediction, and workflow efficiency.

Method A literature review was conducted to examine current evidence on AI applications in multiparametric MR imaging for oncology. Studies evaluating deep learning models for tumor segmentation, longitudinal imaging analysis, and treatment response prediction were synthesized using a thematic analysis approach.

Results Three primary themes emerged: (a) AI-driven tumor segmentation improved accuracy, reproducibility, and efficiency across multiparametric MR sequences; (b) deep learning models enhanced prediction of treatment response through …

Mr-Linac Technology, Katherine Orellana

Radiologic Sciences

Purpose To examine the clinical advantages of magnetic resonance-guided linear accelerator (MR-Linac) technology in radiation therapy, with a focus on treatment accuracy, adaptive planning, and patient outcomes.

Method A literature review was conducted using peer-reviewed articles identified through The University of Texas MD Anderson Cancer Center Research Medical Library. Studies published between 2022 and 2026 were included if they addressed the clinical advantages of MR-Linac technology. Findings were synthesized using thematic analysis.

Results Three primary themes emerged: (a) superior soft-tissue visualization improved tumor delineation and treatment accuracy; (b) daily adaptive treatment planning and real-time tumor tracking enhanced precision by accounting …

Impact Of Music On Patient Comfort During Mr Scans: A Literature Review, He Yan

Radiologic Sciences

Purpose To investigate the influence of auditory stimuli on patient comfort levels during magnetic resonance (MR) imaging, with particular emphasis on indicators of distress, duration of patient positioning, and utilization of emergency signaling devices.

Method An integrative literature review was undertaken utilizing peer-reviewed research articles sourced from journals within the fields of radiology, music therapy, and clinical practice. A comprehensive search was conducted across databases such as PubMed, ScienceDirect, SpringerLink, and Oxford Academic employing keywords including MR anxiety, music therapy, and patient comfort.

Results The body of literature consistently indicated that auditory stimuli significantly mitigate patient anxiety and distress in …

Enhancing Cancer Diagnosis And Treatment Planning Through Multi-Modal Imaging Techniques: A Literature Review, Ngan Kim Le

Radiologic Sciences

Purpose To examine how combining magnetic resonance (MR), computed tomography (CT), and positron emission tomography (PET) enhances clinical outcomes in complex or metastatic cancers, focusing on diagnostic performance, staging accuracy, and effects on treatment decisions.

Method Data were extracted and analyzed using a thematic synthesis approach for this literature review. Key variables included study design, sample size, cancer type, imaging modalities used, and reported diagnostic outcomes such as sensitivity, specificity, and accuracy.

Results The integration of multiple imaging modalities enhanced diagnostic performance, improved differentiation between tumor recurrence and posttreatment changes, and increased detection of occult metastatic disease. Advanced imaging approaches, …

Ai-Enhanced Ct Reconstruction: Effects On Image Quality Across Dose Levels And Implications For Radiation Dose Optimization: A Systematic Review, Matthew R. Alberto

Radiologic Sciences

Purpose To evaluate how deep learning image reconstruction (DLIR) affects diagnostic image quality and noise characteristics at different radiation dose levels and how it influences dose optimization compared with conventional reconstruction methods.

Method A systematic review was conducted using major databases for studies published between 2020 and 2026. Eligible studies assessed DLIR across multiple dose levels, reported radiation dose, included quantitative image quality metrics, and compared DLIR with filtered back projection or iterative reconstruction.

Results Thirty‑seven studies met criteria, and 15 were synthesized. Three themes emerged: (a) DLIR reduced noise by 15–82% and often improved signal-to-noise and contrast-to-noise ratios while …

Reducing Mr Acquisition Times Using Artificial Intelligence: A Systematic Review, Fatin M. Arief

Radiologic Sciences

Purpose To synthesize existing evidence on artificial intelligence (AI) applications for reducing magnetic resonance (MR) imaging acquisition time, evaluate their impact on image quality, and identify challenges in clinical implementation.

Method A systematic literature review was conducted using PubMed, CINAHL, and Scopus including peer reviewed, English-language articles published between 2020 and 2026. Both qualitative and quantitative primary research were eligible and had to be on AI use in MR processes. Findings were analyzed through thematic synthesis, and the quality of each study was appraised using relevant critical appraisal tools.

Results Three major themes emerged: AI methods in MR procedures, perceived …

Impact Of Mr-Linac Technology On Prostate Cancer Treatment Outcomes, Anhdiep P. Tran

Radiologic Sciences

Purpose To evaluate the impact of magnetic resonance-guided linear accelerator (MR-Linac) technology on treatment precision, clinical outcomes, and operational challenges in prostate cancer radiotherapy.

Method A systematic literature review was conducted using PubMed, Scopus, and Google Scholar to identify peer-reviewed studies published between 2018 and 2026. Eligible studies evaluated MR-Linac technology for prostate cancer and reported outcomes related to treatment precision, toxicity, workflow, and clinical effectiveness.

Results Three primary themes emerged: (a) improved treatment precision through superior soft tissue visualization, real-time target tracking, and adaptive radiotherapy; (b) improved clinical outcomes characterized by reduced radiation exposure to organs at risk, decreased …

Gadolinium Deposition Concerns In Magnetic Resonance Imaging, Emily Tran

Radiologic Sciences

Purpose To examine how concerns about gadolinium deposition have influenced the use of macrocyclic versus linear contrast agents in magnetic resonance (MR) practice.

Method A structured literature review was conducted using AI-assisted research tools and academic databases to identify recent peer-reviewed original research articles related to gadolinium deposition and contrast agent use patterns in MR. Only studies published between 2020 and 2026 were included.

Results Recent research confirmed that gadolinium can accumulate in human tissues following contrast-enhanced MR examinations. Multiple studies demonstrated that linear gadolinium-based contrast agents are associated with greater levels of tissue retention compared with macrocyclic agents due …

Impact Of Artificial Intelligence On The Roles And Career Trajectories Of Radiologic Technologists, Carolina Esquivel

Radiologic Sciences

Purpose To examine how artificial intelligence (AI) is influencing the roles, responsibilities, and career trajectories of radiologic technologists by identifying emerging challenges and opportunities associated with AI integration in medical imaging.

Method A systematic literature review was conducted using PubMed and CINAHL to identify peer-reviewed studies published between 2016 and 2026. Eligible studies examined AI applications in medical imaging and their effects on workforce roles, education, collaboration, and professional practice. Findings were synthesized using thematic analysis.

Results Three primary themes emerged: (a) workflow efficiency and protocol optimization through AI-assisted imaging processes; (b) professional skill development and evolving responsibilities related to …

High-Definition Healing: Investigating Ai-Driven Mr Reconstruction Methods, Jerell R. Jones

Radiologic Sciences

Purpose To analyze recent artificial intelligence (AI)-driven magnetic resonance (MR) reconstruction methods aimed at addressing long acquisition times, image artifacts, and workflow inefficiencies.

Method A systematic literature review was conducted using PubMed, Scopus, and Scopus AI, targeting peer‑reviewed studies published between 2015 and 2026. Search terms included “MRI,” “magnetic resonance imaging,” “artificial intelligence,” “deep learning,” and “machine learning.” Eligible studies included methodology, validation, and review papers. Extracted data included algorithm type, study design, key findings, and limitations. Themes were identified through content analysis and generative AI use.

Results Prominent themes identified were the emergence of generative adversarial networks, advanced neural …

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, 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, 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, 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, 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, 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, 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, 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 …

Givosiran Treatment Over 36 Months For People With Acute Hepatic Porphyria: A Plain Language Summary, Kristen Wheedena, Sue Burrell, Susana Monroy, Paolo Ventura, Marianne T. Sweetser, Gang Jia, Manish Thapar, Nicole Castellano

Department of Medical Oncology Faculty Papers

Plain Language Summary: What is this summary about? Acute hepatic porphyria, also called AHP, is a family of four rare genetic diseases: Acute intermittent porphyria (AIP) Variegate porphyria (VP) Hereditary coproporphyria (HCP) Delta-aminolevulinic acid dehydratase deficiency porphyria (ADP) These genetic diseases are caused when an enzyme that is involved in the production of a molecule called heme does not work normally. This leads to a buildup of the molecules that produce heme, which is toxic to the body. People with AHP have symptoms such as nausea (feeling sick), pain, tiredness, weakness in arms and legs, and vomiting, and these symptoms …

Development Of A Structurally Distinct Topbp1 Inhibitor That Enhances Parp Blockade And Reverses Osimertinib Resistance, Fang-Tsyr Lin, Shwu-Jiuan Lin, Kang Liu, Yang Xiao, Lidija A Wilhelms Garan, Helena Folly-Kossi, Weei-Chin Lin

Faculty, Staff and Students Publications

Therapeutic resistance remains a major challenge in cancer treatment, driven by compensatory signaling and stress response pathways that sustain tumor survival. Topoisomerase IIβ-binding protein 1 (TopBP1), a multifunctional scaffold protein with nine BRCT domains, integrates replication stress signaling with oncogenic networks and is frequently overexpressed in aggressive cancers. Its BRCT7/8 domains mediate critical interactions with E2F1, mutant p53, MIZ1, PLK1, and CIP2A, making TopBP1-BRCT7/8 an attractive therapeutic target. Using docking-guided screening and structure-activity relationship–driven optimization, we developed CS18 as a potent and selective BRCT7/8 inhibitor that disrupts oncogenic TopBP1 complexes without interfering with DNA replication. CS18 suppresses MYC transcriptional programs, …

Young-Onset Stroke In The Uae: A Single-Centre Retrospective Analysis Of Risk Factors And Outcomes, Sobia Siddiq, Saryia Adra, Kamel A. Samara, Batool Aldaher, Mohamad Emad Aldeen Mahfouz, Nour Sakan, Fathima Musfira, Roomiyah Riyaz Assadi, Ahlam Mohamed Almarzooqi, Hiba Jawdat Barqawi, Eman Abu-Gharbieh

Abington Jefferson Health Papers

BACKGROUND: Young-onset stroke represents a growing public health concern, yet data from the United Arab Emirates (UAE) remain limited. This study aimed to examine the risk factors and clinical outcomes associated with young-onset stroke in the UAE.

METHODS: A retrospective chart review was conducted on 419 patients aged below 50 years who were admitted at Al Qassimi Hospital, Sharjah, UAE, with a diagnosis of stroke between 2016 and 2022. Data on demographics, comorbidities, stroke subtype, management, and outcomes were collected and analyzed using Python-based statistical libraries.

RESULTS: The study population comprised predominantly of male individuals (78.28%), with most patients originating …

Larotrectinib In Trk Fusion Differentiated Thyroid Carcinoma: Updated Trial Data, Steven Waguespack, Marcia Brose, Jessica J Lin, Ray Mcdermott, Mohammed Almubarak, Jessica Bauman, Michela Casanova, Shivaani Kummar, Se-Hoon Lee, Damian Rieke, Do-Youn Oh, Changsong Qi, Natascha Neu, Domnita-Ileana Burcoveanu, Chiara Mussi, Alexander Drilon, David Hong, Maria Cabanillas

Department of Medical Oncology Faculty Papers

Larotrectinib is a first-in-class, highly selective, central nervous system-active tropomyosin receptor kinase (TRK) inhibitor approved for tumour-agnostic use in TRK fusion cancer. It has previously demonstrated rapid and durable disease control and favourable safety in patients with advanced TRK fusion thyroid carcinoma (TC). After an additional 4 years of follow-up with the inclusion of two additional patients, and utilising an independent review committee (IRC) to assess overall response rate (ORR), we report updated pooled analyses from three phase 1-2 larotrectinib clinical trials, focusing only on patients with TRK fusion differentiated TC (DTC). The primary endpoint was the IRC-determined ORR per …

Automated Flim-Fret Segmentation Within Rnp Condensates, Noah D Powell, Joshua M Marcus, Leyla E Fahim, Jason E Lee

Faculty, Staff and Students Publications

Ribonucleoprotein (RNP) condensates are membraneless organelles that exist alongside many RNA-driven processes, such as transcription and splicing. Despite their ubiquity, the biological necessity of forming a condensed phase remains unclear, particularly because the same RNP components exist both within these organelles and in the surrounding dilute phase. Most current methods for studying biochemical interaction dynamics within condensates rely on in vitro reconstitution of minimal factors or low-throughput single-molecule studies. However, RNP condensates are complex organelles containing tens to hundreds of proteins and hundreds to thousands of different RNAs. Here, we describe a scalable, high-throughput fluorescence microscopy–based approach to analyze protein–protein …

Childhood Cancer Predisposition Study: A Prospective Registry And Biorepository Protocol, Melissa R Perrino, Suzanne P Macfarland, Luke Maese, Jennie Vagher, Junne Kamihara, Surya Rednam, Philip J Lupo, Garrett M Brodeur, Joshua Schiffman, Lisa Diller, Lauren Desrosiers-Battu, Sharon E Plon, Kim E Nichols, Samuel L Volchenboum, David Malkin, Anita Villani, Christopher C Porter

Faculty, Staff and Students Publications

Introduction: Cancer is the most common cause of disease-related mortality in children, highlighting the urgent need for improved care in this population. It is estimated that >15% of children diagnosed with cancer harbour a germline pathogenic variant in a cancer predisposition gene which confers an increased risk to develop cancer. There are over 100 genes associated with cancer predisposition syndromes (CPSs) and greater availability and acceptability of genetic testing in the last decade has facilitated their recognition in childhood. However, individually, each of these CPSs is rare, impeding robust research and advancement of clinical care. Once a specific CPS is …

Protocadherin 9 Promotes Cell Survival Of Different Bipolar Cell Types In The Developing Mouse Retina, Marlon F Mattos, Daniela Becerril, Jingyao Guo, Collin Todora, Cesiah C Gomez, Elizabeth Zuniga-Sanchez

Faculty, Staff and Students Publications

Neural circuit assembly relies on different neuronal types coming together to form a functional circuit. The question of how the appropriate number of each type is integrated into an emerging circuit remains relatively unknown. To answer this question, we used the mouse retina to uncover the molecular mechanisms responsible for neuron-type integration in a developing circuit. In the mammalian retina, bipolar cells (BCs) are a class of interneurons that relay visual information from photoreceptors to ganglion cells. Extensive studies have shown there are 15 distinct BC types: 6 types of OFF cone bipolars, 8 types of ON cone bipolars, and …

Addendum: Raf/Mek/Extracellular Signal-Related Kinase Pathway Suppresses Dendritic Cell Migration And Traps Dendritic Cells In Langerhans Cell Histiocytosis Lesions, Brandon Hogstad, Marie-Luise Berres, Rikhia Chakraborty, Jun Tang, Camille Bigenwald, Madhavika Serasinghe, Karen Phaik Har Lim, Howard Lin, Tsz-Kwong Man, Romain Remark, Samantha Baxter, Veronika Kana, Stefan Jordan, Zoi Karoulia, Wing-Hong Kwan, Marylene Leboeuf, Elisa Brandt, Helene Salmon, Kenneth Mcclain, Poulikos Poulikakos, Jerry Chipuk, Willem J M Mulder, Carl E Allen, Miriam Merad

Faculty, Staff and Students Publications

No abstract provided.

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 …