Radiology Commons^™

Metastatic Squamous Cell Carcinoma In A Nonsmoker Presenting With Pathological Humeral Fracture, Nicholas Fuerstenau, Grant Cookson, Smit Jani

South Atlantic Division GME Research Day 2025

No abstract provided.

Diagnosis Of Hibernoma: A Case Report Of A Benign Adipose Tumor With Radiological And Histopathological Features, Pavan Patel, Himani Patel, Patrick Mullinix

South Atlantic Division GME Research Day 2025

No abstract provided.

A Case Of A Cough Unveiling Pulmonary Amyloidosis, Conner Dalton, Timothy Kocher, Chase Tenewitz, Benjamin Goldsmith

South Atlantic Division GME Research Day 2025

No abstract provided.

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

South Atlantic Division GME Research Day 2025

No abstract provided.

Endovascular Management Of High-Grade Inferior Mesenteric Artery Stenosis Via Left Radial Approach, Julia Iman, John Mcgue

South Atlantic Division GME Research Day 2025

No abstract provided.

Balancing Regeneration And Resistance: Targeting Dclk1 To Mitigate Gastrointestinal Radiation Injury And Oncogenesis, Landon L. Moore, Jerry Jaboin, Milton L. Brown, Courtney W. Houchen

Department of Medicine Faculty Publications

Ionizing radiation (IR) poses a dual challenge in medicine; while essential for cancer therapy, it inflicts collateral damage to normal tissues, particularly the gastrointestinal (GI) tract. High-dose IR triggers acute radiation syndrome (ARS), characterized by crypt stem cell depletion, mucosal barrier disruption, inflammation, and potential progression to fibrosis and secondary malignancy. Emerging evidence identifies the epithelial kinase doublecortin-like kinase 1 (DCLK1)—highly expressed in GI tuft cells and cancer stem-like cells—as a master regulator of post-IR responses. DCLK1 integrates DNA repair (via p53/ATM), and survival signaling (via NF-κB, TGF-β, and MAPK) to promote epithelial regeneration, yet these same mechanisms contribute to …

Automated Segmentation Of The Ulnar Nerve In Mri Using Deep Learning Techniques, Akhil Nagulapalli

Theses

Cubital Tunnel Syndrome (CuTS), a condition caused by compression of the ulnar nerve, results in numbness, tingling, pain, and even muscle atrophy, affecting fine motor skills and diminishing patient quality of life. Accurate diagnosis of CuTS is challenging, as current diagnostic methods—including clinical exams, nerve conduction studies, and unaided MRI—often lack the precision to reliably identify the nerve and detect compression in its early stages. Deep learning-based segmentation offers a promising solution, enabling precise and automated identification of nerve structures in MRI images, which could significantly improve diagnostic accuracy and support timely intervention.

A novel deep learning model for segmenting …

Navigating Rarity: A Case Report On Primary Splenic Lymphoma, Santosh Pv Rai, Skand Rastogi, Anshuman Senapati, Jyoti Kini, Salama Yasmeen

Manipal Journal of Medical Sciences

Primary Splenic Lymphoma (PSL) is a rare condition, which complicates its understanding and definition. The rarity of PSL has led to varied definitions: some consider it primary only if splenomegaly is predominant, while others include spleen involvement with hilar lymph nodes. Documentation on PSL is sparse in Indian literature. This case report of a 48-year-old woman, presenting with fever, weight loss, and left hypochondrium pain, and diagnosed with PSL through CECT abdomen and USG-guided biopsy, contributes to better understanding of the condition.

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. …

High-Intensity Focused Ultrasound Ablation For Primary Or Salvage Prostate Cancer Therapy: Initial Outcomes In The Veteran Healthcare Setting, Sagar Patel, Ali Antar, Aly Alrabaa, Gal Saffati, Broderick Fleming, Neel Srikishen, Jeremy Slawin, Jennifer Taylor, Jeffrey Jones

Faculty, Staff and Students Publications

High-Intensity Focused Ultrasound (HIFU) provides comparable oncologic, erectile, and urinary outcomes to standard-of-care options for localized prostate cancer. This study reports the largest United States series of HIFU in veterans for both primary and salvage therapies. We retrospectively analyzed the outcomes of 43 veterans treated at the Michael E. DeBakey Veterans Affairs Medical Center from 2018 to 2022. Primary endpoints included prostate-specific antigen (PSA) reduction and local recurrence rates. Secondary endpoints included 30-day complications, Sexual Health Inventory for Men (SHIM), and American Urological Association Symptom Score (AUASS). In our study, 31 veterans (72.1%) received primary treatment and 12 (27.9%) received …

Feasibility Of Large Language Models For Ceus Li-Rads Categorization Of Small Liver Nodules In Patients At Risk For Hepatocellular Carcinoma, Jiayan Huang, Rui Yang, Xiaotong Huang, Keyu Zeng, Yan Liu, Jun Luo, Andrej Lyshchik, Qiang Lu

Department of Radiology Faculty Papers

BACKGROUND: Large language models (LLMs) offer opportunities to enhance radiological applications, but their performance in handling complex tasks remains insufficiently investigated.

PURPOSE: To evaluate the performance of LLMs integrated with Contrast-enhanced Ultrasound Liver Imaging Reporting and Data System (CEUS LI-RADS) in diagnosing small (≤20mm) hepatocellular carcinoma (sHCC) in high-risk patients.

MATERIALS AND METHODS: From November 2014 to December 2023, high-risk HCC patients with untreated small (≤20mm) focal liver lesions (sFLLs), were included in this retrospective study. ChatGPT-4.0, ChatGPT-4o, ChatGPT-4o mini, and Google Gemini were integrated with imaging features from structured CEUS LI-RADS reports to assess their diagnostic performance for sHCC. …

Neurofeedback: New Territories And Neurocognitive Mechanisms Of Endogenous Neuromodulation, James Sulzer, T Dorina Papageorgiou, Rainer Goebel, Talma Hendler

Faculty, Staff and Students Publications

Neurofeedback (NF) is endogenous neuromodulation of circumscribed brain circuitry. While its use of real-time brain activity in a closed-loop system is similar to brain-computer interfaces, instead of controlling an external device like the latter, the goal of NF is to change a targeted brain function. In this special issue on NF, we present current and future methods for extracting and manipulating neural function, how these methods may reveal new insights about brain function, applications, and rarely discussed ethical considerations of guiding and interpreting the brain activity of others. Together, the articles in this issue outline the possibilities of NF use …

Discrepancy Between Hyaluronic Acid Levels And Mri-Based Measurements Of Hepatic Fat And Fibrosis, Daniel Aaron Borman, Rachel Chevalier, Jonathan Wagner, Michele T. Pritchard, Sherwin S. Chan, Nathan S. Artz, Johnston Fite, Yoon Cho, Valentina Shakhnovich, Veronica Williams, Voytek Slowik

Posters

Introduction Metabolic-dysfunction-associated steatotic liver disease (MASLD) is the most common liver disease in children in the United States and, when left untreated, can progress to liver fibrosis. Clinicians currently utilize imaging and biopsy to assess fibrosis in this patient population as there is no validated serum biomarker available for detecting fibrosis. Previous research suggests that serum hyaluronic acid levels are predictive of hepatic fibrosis in children with MASLD. Methods Retrospective data were obtained from the Children’s Mercy Hospital Liver Lab study. Pediatric subjects with both hyaluronic acid (HA) samples and MRI evaluation within a month were identified and included for …

Labrad : Vol 49, Issue 2 - December 2024, Aga Khan University Hospital, Karachi

LABRAD - Departments of Pathology & Laboratory Medicine and Radiology Archives

• EDITORIAL
• ARTICLES
• Anti-Glomerular Basement Membrane (GBM) Disease: Pathogenesis, Presentation, and Diagnostic Insights
• Advanced Total Laboratory Automation (TLA) Workflow: A Comprehensive Approach towards High-Throughput Analyzers in Clinical Chemistry
• Precision Under Pressure: Challenges in Therapeutic Drug Monitoring for Immunosuppressants
• Frozen Section: Diagnostic Accuracy, Pitfalls and Use of Digital Pathology
• Working Environment Perspective of a Learner
• AI Training: A Must-Have Skill for Tomorrow’s Radiologists
• Challenges in Blood Supply: Importance of Voluntary Donations
• Leadership Skills and Emotional Intelligence For Professional Capacity Building in Histopathology – A Broad Perspective
• Factor VIII and XI Deficiency; A Finding That Could Have Been Missed-A Case Report
• Accelerated Phase …

Telehealth In Emergency Medicine Residency Training: A Model Curriculum, Laura Oh, Rahul Bhat, Michael J Carr, Aditi U Joshi, Bruce M Lo, Ashley C Rider, Lulu Wang, Michael C Wadman, Samuel D Luber

Faculty, Staff and Student Publications

Emergency physicians are well‐positioned to take a leadership role in telehealth, particularly in emerging categories such as triage, direct acute unscheduled care, and virtual observation. However, the growth of telehealth has outpaced curricular development in emergency medicine (EM) residency programs. This manuscript presents a model longitudinal telehealth curriculum, developed by the consensus of education experts, including representatives from the telehealth interest groups from EM's two primary specialty societies: the American College of Emergency Physicians and the Society for Academic Emergency Medicine. The curriculum describes overarching goals and components that may serve as a foundation for individual institutions seeking to train …

Polarimetry Terahertz Imaging Of Human Breast Cancer Surgical Specimens, Nikita Gurjar, Keith Bailey, Magda O. El-Shenawee

Electrical Engineering and Computer Science Faculty Publications and Presentations

Purpose

We investigate terahertz (THz) polarimetry imaging of seven human breast cancer surgical specimens. The goal is to enhance image contrast between adjacent tissue types of cancer, healthy collagen, and fat in excised breast tumors. Based on the biological perception of random growth of cancer and invasion of surrounding healthy tissues in the breast, we hypothesize that cancerous cells interact with the THz electric field in a different manner compared with healthy cells. This difference can be best captured using multiple polarizations instead of single polarization.

Approach

Time domain pulsed signals are experimentally collected from each pixel of the specimen …

Synthesis Of Photocleavable Molecules For Neurological Applications, Nishal Madujith Egodawaththa Arachchilage Don

Theses and Dissertations

In recent biomedical research, the precise control of molecular dynamics through light activation has emerged as a powerful tool, particularly in the field of neurobiology. This approach involves the use of photocleavable cages or photoprotective groups (PPGs) that are chemically tethered to biologically active molecules such as neurotransmitters or calcium chelators. These cages remain inert until exposed to specific wavelengths of light, typically in the visible range, triggering the release of the active compound with high spatiotemporal precision.

For neurotransmitter systems, such as glutamate (Glu), which plays a critical role in synaptic transmission and memory formation, researchers have developed novel …

Impact Of Chatgpt And Large Language Models On Radiology Education: Association Of Academic Radiology-Radiology Research Alliance Task Force White Paper, David H. Ballard, Alexander Antigua-Made, Emily Barre, Elizabeth Edney, Emile B. Gordon, Linda Kelahan, Taha Lodhi, Jonathan G. Martin, Melis Ozkan, Kevin Serdynski, Bradley Spieler, Daphne Zhu, Scott J. Adams

School of Medicine Faculty Publications

Generative artificial intelligence, including large language models (LLMs), holds immense potential to enhance healthcare, medical education, and health research. Recognizing the transformative opportunities and potential risks afforded by LLMs, the Association of Academic Radiology-Radiology Research Alliance convened a task force to explore the promise and pitfalls of using LLMs such as ChatGPT in radiology. This white paper explores the impact of LLMs on radiology education, highlighting their potential to enrich curriculum development, teaching and learning, and learner assessment. Despite these advantages, the implementation of LLMs presents challenges, including limits on accuracy and transparency, the risk of misinformation, data privacy issues, …

Development Of A New Peyronie’S Disease Self-Assessment Screening App, Gregory A Broderick, Jesse N Mills, Lisa Bathish, Christopher Davis, Mohit Khera

Faculty, Staff and Students Publications

Peyronie's disease (PD) is an underdiagnosed and undertreated fibroproliferative disorder associated with the formation of plaques that results in penile curvature and discourages some men from seeking medical consultation. The PD self-assessment app, a digital application (app), was developed to increase PD awareness, provide men with a self-screening and educational tool for PD, and help eliminate barriers to seeking consultation with a physician. Prior to deployment, 4 board-certified urologists provided qualitative reviews on the app's usability and utility as a screening tool. The PD self-assessment app features a questionnaire that addresses penile curvature, challenges with penetration, partner distress, and the …

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 …