Radiology Commons^™

Ai-Segmented Upper Airway Imaging Biomarkers Across The Lifespan, David L. Holt, Vishwa S. Parekh

Summer Research Program Abstracts

No abstract provided.

Ghastly Growths And Bone Chilling Cases Pediatric Tumor Diagnosis Demystified, Alexander Aly Restum, Arif Musa

Medical Student Research Symposium

Background:

Pediatric skeletal tumors range from benign to malignant and require multimodal imaging for accurate diagnosis. Recognizing key features enables early detection, guides management, identifies underlying syndromes, and improves outcomes. This presentation provides an educational overview of pediatric tumor evaluation.

Methods:
We conducted a focused review of peer-reviewed literature and representative pediatric imaging studies to outline the radiologic characteristics of common benign and malignant bone tumors in children. Core imaging patterns, diagnostic challenges, and modality-specific advantages were synthesized to create a practical interpretive framework for radiologists.

Results:
The reviewed literature and imaging demonstrated consistent defining features across pediatric bone tumors. …

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 …

Fill The Void - An Introductory Guide For Learning Medical Imaging, Reid Faith, Peter Gahan, Adam Trusty, Aleksandr Zyskin, Chukwuka Ukekwe, Denise Nchinda, Amanda K. Burbage, Alberto E. Musto

EVMS School of Health Professions Faculty Publications

No standardized, comprehensive approach for radiological image interpretation exists among medical schools in the United States of America. In order to rectify this, we outline a model aimed to help improve how medical imaging can be taught in medical schools. The VOID (Visualization, Orientation/Observation, Identification, Description) guide is a proposed universal, stepwise approach to medical image identification, interpretation, and communication. This structured guideline is aimed at building a foundation for students in early medical education. The VOID was applied to CT (Computed Tomography), MRI (Magnetic Resonance Imaging), and x-ray modalities as integrated sessions for medical students during human anatomy laboratory. …

Streamlining Nuclear Theranostic Clinic Workflow, Charisma Desai, Anne Fisher

Advances in Cancer Education and Quality Improvement

Nuclear medicine clinic needs have drastically changed with the emergence of theranostics, exciting new agents in the fight against cancer. However, administering these agents is a resource-intensive task, increasing demand for physician consultation time with patients, clinic office space, and scanner time. We examined our institution’s nuclear medicine clinic workflow and interviewed the clinic’s front desk staff, technologists, nurses, managers, physicians, and patients to find sources of delays, dissatisfaction, and decreased efficiency. An Ishikawa diagram and decision matrix helped us determine the most impactful intervention with our available resources. For this cycle, we focused on the consent process. Theranostic patients …

Teaching Ai For Radiology Applications: A Multisociety-Recommended Syllabus From The Aapm, Acr, Rsna, And Siim, Felipe Kitamura, Timothy Kline, Daniel Warren, Linda Moy, Roxana Daneshjou, Farhad Maleki, Igor Santos, Judy Gichoya, Walter Wiggins, Brian Bialecki, Kevin O'Donnell, Adam E. Flanders, Matt Morgan, Nabile Safdar, Katherine P. Andriole, Raym Geis, Bibb Allen, Keith Dreyer, Matt Lungren, Monica J. Wood, Marc Kohli, Steve Langer, George Shih, Eduardo Farina, Charles E. Kahn, Ingrid Reiser, Maryellen Giger, Christoph Wald, John Mongan, Tessa Cook, Neil Tenenholtz

Department of Radiology Faculty Papers

No abstract available

Teaching Ai For Radiology Applications: A Multisociety-Recommended Syllabus From The Aapm, Acr, Rsna, And Siim, Felipe Kitamura, Timothy Kline, Daniel Warren, Linda Moy, Roxana Daneshjou, Farhad Maleki, Igor Santos, Judy Gichoya, Walter Wiggins, Brian Bialecki, Kevin O'Donnell, Adam E. Flanders, Matt Morgan, Nabile Safdar, Katherine P. Andriole, Raym Geis, Bibb Allen, Keith Dreyer, Matt Lungren, Monica J. Wood, Marc Kohli, Steve Langer, George Shih, Eduardo Farina, Charles E. Kahn, Ingrid Reiser, Maryellen Giger, Christoph Wald, John Mongan, Tessa Cook, Neil Tenenholtz

Department of Radiology Faculty Papers

No abstract available.

Teaching Ai For Radiology Applications: A Multisociety‑Recommended Syllabus From The Aapm, Acr, Rsna, And Siim, Felipe Kitamura, Timothy Kline, Daniel Warren, Linda Moy, Roxana Daneshjou, Farhad Maleki, Igor Santos, Judy Gichoya, Walter Wiggins, Brian Bialecki, Kevin O’Donnell, Adam Flanders, Matt Morgan, Nabile Safdar, Katherine P. Andriole, Raym Geis, Bibb Allen, Keith Dreyer, Matt Lungren, Monica J. Wood, Marc Kohli, Steve Langer, George Shih, Eduardo Farina, Charles E. Kahn Jr., Ingrid Reiser, Maryellen Giger, Christoph Wald, John Mongan, Tessa Cook, Neil Tenenholtz

Department of Radiology Faculty Papers

No abstract provided.

Radiologic And Histologic Findings Of Undifferentiated Sarcoma Treated With Radical Resection, Justina Kasteri, Stefan Johnson, Joseph Hatem, Joel Thompson

Advances in Clinical Medical Research and Healthcare Delivery

Case report of an 89-year-old patient presenting with a nontraumatic painless growing mass on the right thigh. This article presents the diagnostic imaging and histologic microscopic views of the mass following a radical resection. Further discussing the key findings to diagnose undifferentiated sarcomas as well as the clinical management.

Ultrasonographic Appearance Of Suspected Zinner Syndrome, Wen Hao Luo, Jared Garfinkle, Jack Hennen, Robert Martin, Kathleen Deiling

Rowan-Virtua Research Day

Zinner syndrome (ZS) is a rare congenital condition characterized by the triad of unilateral renal agenesis, ipsilateral seminal vesicle cyst, and ipsilateral ejaculatory duct obstruction. ZS is suspected to be caused by the malformation of the mesonephric duct during embryogenesis. The incomplete migration of the ureteric bud results in ipsilateral renal agenesis and ejaculatory duct obstruction. The remaining gonad develops with inadequate seminal fluid drainage, leading to the formation of seminal vesicle cysts. ZS is often asymptomatic, leading to challenges in diagnosis, particularly in adolescents. Symptoms can include pain, dysuria, pollakisuria, perineal pain, epididymitis, and pain after ejaculation. Imaging plays …

American College Of Radiology Manual On Mr Safety: 2024 Update And Revisions, Ivan Pedrosa, David A Altman, Jonathan R Dillman, Michael N Hoff, Alexander M Mckinney, Scott B Reeder, Jeffrey M Rogg, R Jason Stafford, James A Webb, Dina L Hernandez, Robert E Watson

Faculty, Staff and Student Publications

Since the introduction of the American College of Radiology (ACR) MRI safety guidelines in 2002, the indications for use of MRI in clinical care and research have continued to expand. Similarly, MRI technologies have evolved, with multiple field strengths now available for human imaging. While several publications have updated the ACR recommendations since the first guidelines, a single source in a structured format was lacking. Accordingly, the ACR Committee on MR Safety recently updated the online ACR Manual on MR Safety that compiles ACR recommendations for safe use of MRI equipment in humans into a single document. This review describes …

Ai In Radiology: Bridging The Gap Between Technology And Patient Care, Jordan Watts, Jeffrey Larson, Kasi Gorli, Alberto Coustasse

Management Faculty Research

Artificial Intelligence (AI) integration in healthcare, particularly within radiology, has grown rapidly, with 400 out of 520 FDA-approved AI algorithms explicitly designed for radiological applications as of 2023. AI has shown significant potential for enhancing healthcare delivery and improving patient outcomes (AHA, 2023); however, understanding the barriers, facilitators, and implications of AI implementation in radiology remains fragmented across existing studies. This study investigates AI's impact on radiology in three critical areas: diagnostic accuracy, interpretation times, and clinical workflow efficiency. We synthesize key findings regarding AI's contributions to radiology practices through a comprehensive literature review of 29 articles published between 2015 …

The Impacts Of Artificial Intelligence In Radiology, Misty Farmer, Wendy Trzyna

Theses, Dissertations and Capstones

Introduction: There has been significant growth in the use of Artificial Intelligence (AI) in the healthcare industry, especially in Medical Imaging. Radiology has been the clear frontrunner in the adoption of AI in medicine, due in part to the massive amount of digital data available for use in Deep Learning (DL) AI integration has the potential to solve multiple challenges in radiology, address workload issues and transform the field.

Purpose of the Study: The purpose of the research was to evaluate the impact of implementing Artificial Intelligence in radiology to determine if these technologies have had an impact …

Artificial Intelligence In Radiology, Olivia Sweeney

Theses, Dissertations and Capstones

Introduction: Artificial intelligence (AI) has increasingly transformed radiologic practice by improving diagnostic accuracy, streamlining workflows, and reducing interpretation errors. As AI integration has expanded across imaging modalities, questions have emerged regarding its effectiveness compared to traditional radiologist-only interpretation.

Purpose of Study: The purpose of this study has been to evaluate the impact of AI-assisted radiology on diagnostic accuracy, efficiency, and error reduction, while also assessing clinician perceptions of AI as a collaborative tool in imaging analysis.

Methodology: This qualitative study has used a systematic review of peer-reviewed literature published between 2015 and 2025, following PRISMA guidelines, combined with an interview …

Hospital Vs Clinic Setting, Hailey Gaines

A with Honors Projects

Being a radiologic technology student means not only showing up to class but also going to clinicals. Clinicals provide hands-on learning with the imaging equipment along with learning anatomy and positioning techniques. Clinicals can help students learn like Asure quotes, “Through clinical practice, students translate theory into real-life experiences thereby allowing them to develop professional clinical attributes, such as professional identity, interpersonal skills, expertise in patient care, practice competence and confidence,” (Asare, 2017) in clinicals, students use the information they learned in class and apply it to either clinic or hospital settings. Hospitals are more faced-paced and see lots of …

Volvulus Of A Wandering Spleen: A Case Report, Curtis Bethel, Allison Thompson

South Atlantic Division GME Research Day 2025

No abstract provided.

Unravelling An Unusual Blastoma In An Infant With Confusing Radiological Diagnosis, Arun Viswanathan Dr, Santosh Rai, Harsha Prasad Lashkari, Jayateertha Joshi

Manipal Journal of Medical Sciences

We report an unusual case of an 8-month-old child, who presented to us with a mass per abdomen with confusing imaging characteristics reported as a germ cell tumour / Neuroblastoma.

Patient presented with a large mass per abdomen which had both retroperitoneal and intraperitoneal components and was compressing the adjacent structures and was appearing heterogenous with calcifications within. The more favoured diagnosis on imaging was a peritoneal or retroperitoneal germ cell tumor / Neuroblastoma. Repeated imaging revealed that the mass was abutting / compressing the left lobe of the liver and high AFP beta HCG and LDH values were noted. …

Fragile Foundations: Unravelling Osteogenesis Imperfecta, From The Womb To The Afterlife, Santosh Rai, Shreya Matele Dr., Sharada Rai Dr., Urvi Ahlawat, Sunita Hegde Dr., Arvind Natarajan Dr.

Manipal Journal of Medical Sciences

Abstract: We report the case of a 36-year-old multiparous woman whose routine antenatal ultrasound at 28 weeks gestation raised suspicion of severe skeletal dysplasia. At 38 weeks, she presented with decreased fetal movements, and intrauterine fetal demise was confirmed. An emergency cesarean section revealed a stillborn fetus with craniofacial deformities, large head with soft scalp bones, and blackish skin discoloration.

Post-mortem imaging, including CT and X-ray, showed severe skeletal abnormalities, including pneumocephalus, pneumothorax, wormian skull bones, extensive demineralization, spina bifida, and multiple fractures with bowing of long bones. Based on antenatal ultrasound and postnatal radiological findings, a diagnosis of …

Ethical Requirements For Achieving Fairness In Radiology Machine Learning: An Intersectionality And Social Embeddedness Approach, Dessislava S. Fessenko

Journal of Health Ethics

Radiodiagnostics by machine-learning (ML) systems is often perceived as objective and fair. It may, however, exhibit bias towards certain patient sub-groups. The typical reasons for this are the selection of disease features for ML systems to screen, that ML systems learn from human clinical judgements, which are often biased, and that fairness in ML is often inappropriately conceptualized as “equality”. ML systems with such parameters fail to accurately diagnose and address patients’ actual health needs and how they depend on patients’ social identities (i.e. intersectionality) and broader social conditions (i.e. embeddedness). This paper explores the ethical obligations to ensure fairness …

Interventional Radiology's Exploration Into Artificial Intelligence, Raymond Nguyen

Master's Projects and Capstones

Background: Artificial intelligence (AI) has become more prominent in our daily lives in recent years. This includes various aspects of healthcare. Interventional radiology (IR) is one of these specialties that has taken strides in understanding how AI can be leveraged for patient care. This literature review aims to understand what areas will be most impacted by AI in IR and how it will influence both the patient and interventional radiologist.

Methods: Twenty-six publications from 2019-2024 were selected from PubMed and Scopus. Publications were sourced through a combination of keywords, subject headings (MeSH terms), and citation searching.

Results: This literature review …

Interpretation Models For Prostate Lesion: Detecting, Explaining, And Understanding., Mehmet Akif Gulum

Electronic Theses and Dissertations

Prostate cancer is a major public health concern, affecting millions of men worldwide. While early detection and treatment of prostate cancer is critical for improving patient outcomes, the detection of prostate lesions is even more important for timely intervention and management of the disease. Prostate lesions are abnormal growths or lumps within the prostate gland, which may or may not be cancerous. The timely detection and accurate diagnosis of prostate lesions is crucial for effective treatment and management of the disease. In recent years, deep learning models have shown promise in accurately detecting and characterizing prostate lesions using advanced imaging …

A “Fishy” Situation, Rare Pathogen And Presentation In Prosthetic Valve Infective Endocarditis, Nichole Schtupak, Patrick Kennedy, Darko Pucar, Linda Godinez, Jodi-Ann Chin, Kristen Selema, Dipan Uppa, Antonio Lewis, Marcelo Helguera

DMSc Student Publications

Lactococcus garviae (L. garviae) is a gram-positive coccus belonging to the Streptococcaceae family. While primarily a pathogen in fish farms causing hemorrhagic sepsis, it can act as a rare opportunistic pathogen in humans. A 2021 case report by Bravo et al. documented less than 30 cases of infective endocarditis caused by L. garviae worldwide at that time. This case report describes the 27th documented case globally and 7th documented case in the USA of L. garviae causing infective endocarditis of a prosthetic valve.
L. garviae is found in unpasteurized dairy products, raw fish, and meat (pork, beef, and …

Rapid (Reducing The Anxiety Of Patients In Interventional And Diagnostic) Radiologic Procedures: A Review Of The Literature, Unie Háng, Nathan Sim, Harika K. Bollineni, Arif Musa Md, Foaz Kayali Md, Roger Kakos Md, Monte Harvill Md, Ali Harb Md

Medical Student Research Symposium

Abstract Title: RAPID (Reducing the Anxiety of Patients in Interventional and Diagnostic) Radiologic Procedures: A Review of the Literature

Background: Pre-procedural anxiety is a prevalent concern that can be associated with negative effects for patients including perceived pain. Most interventional radiologic procedures are performed under local anesthesia with minimal sedation if any, which may not be sufficient in relaxing the patient. Effective patient education with appropriate pain management and anxiety control can improve comfort and can yield optimal post-procedural outcomes.

Methods: A search was done with the PubMed database for studies concerning patient anxiety in radiologic procedures. Search terms included, …

The Measure Of Efficiency And Effectiveness When Using Artificial Intelligence (Ai) In Radiology, Jordan Watts

Theses, Dissertations and Capstones

Introduction: The use of artificial intelligence in radiology has helped radiologists identify patterns and abnormalities in medical images to diagnose and treat patients. Deep learning and machine learning algorithms have been used to assist physicians in detecting features that are not noticeable to the human eye. The FDA has approved almost 400 AI algorithms for radiology and estimated that the market for AI in medical imaging would grow from $21.48 billion in 2018 to $264.85 billion in 2028.

Purpose of the Study: The purpose of this research was to evaluate the use of artificial intelligence in radiology to determine its …

Allergic Bronchopulmonary Aspergillosis: Radiological And Microbiological Profile Of Patients Presented In An Outpatient Pulmonary Clinic In A Developing Country, Nousheen Iqbal, Muhammad Irfan, Mustafa Bin Ali Zubairi, Maaha Ayub, Safia Awan, Kauser Jabeen, Ali Bin Sarwar Zubairi

Section of Pulmonary & Critical Care

There is limited data available about allergic bronchopulmonary aspergillosis (ABPA) in Pakistan. The aim of the study was to describe the radiological and microbiological profile of ABPA patients presenting to the outpatient pulmonary clinic of a tertiary care hospital in Karachi, Pakistan. A retrospective study was conducted on ABPA patients who presented to the pulmonary outpatient clinic at Aga Khan University Hospital, Karachi, Pakistan, from January 2017 to December 2019. Data was collected on microbiology and radiology features on predesigned proforma. A total of 7759 asthmatic patients presented at the outpatient pulmonology clinic during the study period. Of the 245 …

Labrad : Vol 48, Issue 1 - July 2023, Aga Khan University Hospital, Karachi

LABRAD - Departments of Pathology & Laboratory Medicine and Radiology Archives

• Editorial
• Articles
• Toxicology In Public Health: Mitigating Risk, Fostering Well-Being
• Predictive And Prognostic Biomarkers in Histopathology
• Cancer Registry and Public Health Surveillance - Role of Pathologists
• Diagnosis of Celiac Disease DQA1*02,05; DQB1*02,03:02 (DQ2&DQ8) in patients
• Magnifying The Clinical Value of Expert Review and Reassessment
• Urine Cytology: A Screening and Surveillance Test
• An Overview of Convalescent Plasma for The Treatment of COVID-19
• Role of Imaging in Public Health Care
• Microsatellite Instability (MSI) Testing
• MRI Liver with Hepatocyte-Specific Contrast Agent
• Basics and Role of Cytopathology
• Bone Tumors: From Timely Diagnosis to Improved Patient Outcome
• Differentiating Between Dengue Fever and Malaria Using The …

Imaging In Interventional Radiology: 2043 And Beyond, Kristy K Brock, Stephen R Chen, Rahul A Sheth, Jeffrey H Siewerdsen

Faculty, Staff and Student Publications

Since its inception in the early 20th century, interventional radiology (IR) has evolved tremendously and is now a distinct clinical discipline with its own training pathway. The arsenal of modalities at work in IR includes x-ray radiography and fluoroscopy, CT, MRI, US, and molecular and multimodality imaging within hybrid interventional environments. This article briefly reviews the major developments in imaging technology in IR over the past century, summarizes technologies now representative of the standard of care, and reflects on emerging advances in imaging technology that could shape the field in the century ahead. The role of emergent imaging technologies in …

Artificial Intelligence Cad Tools In Trauma Imaging: A Scoping Review From The American Society Of Emergency Radiology (Aser) Ai/Ml Expert Panel, David Dreizin, Pedro V Staziaki, Garvit D Khatri, Nicholas M Beckmann, Zhaoyong Feng, Yuanyuan Liang, Zachary S Delproposto, Maximiliano Klug, J Stephen Spann, Nathan Sarkar, Yunting Fu

Faculty, Staff and Student Publications

BACKGROUND: AI/ML CAD tools can potentially improve outcomes in the high-stakes, high-volume model of trauma radiology. No prior scoping review has been undertaken to comprehensively assess tools in this subspecialty.

PURPOSE: To map the evolution and current state of trauma radiology CAD tools along key dimensions of technology readiness.

METHODS: Following a search of databases, abstract screening, and full-text document review, CAD tool maturity was charted using elements of data curation, performance validation, outcomes research, explainability, user acceptance, and funding patterns. Descriptive statistics were used to illustrate key trends.

RESULTS: A total of 4052 records were screened, and 233 full-text …

Institutional Strategies To Maintain And Grow Imaging Research During The Covid-19 Pandemic, Mai-Lan Ho, Corey W Arnold, Summer J Decker, John D Hazle, Elizabeth A Krupinski, David A Mankoff

Faculty, Staff and Student Publications

Understanding imaging research experiences, challenges, and strategies for academic radiology departments during and after COVID-19 is critical to prepare for future disruptive events. We summarize key insights and programmatic initiatives at major academic hospitals across the world, based on literature review and meetings of the Radiological Society of North America Vice Chairs of Research (RSNA VCR) group. Through expert discussion and case studies, we provide suggested guidelines to maintain and grow radiology research in the postpandemic era.

The Spatial And Temporal Structure Of Neural Activity Across The Fly Brain, Katherine E Maturen, Cheri L Canon, Joel G Fletcher, Amy K Hara, David H Kim, Jonathan B Kruskal, Frank H Miller, Erick M Remer, Stuart G Silverman

Faculty, Staff and Student Publications

In 2012, the Society of Abdominal Radiology (SAR) was formed by the merger of the Society of Gastrointestinal Radiologists (SGR) and the Society of Uroradiology (SUR). On the occasion of SAR's ten year anniversary, this commentary describes important changes in society structure, the growth and diversity of society membership, new educational and research initiatives, intersociety and international outreach, and plans for the future.