Diagnosis Commons^™

​Cd10 Positive Mantle Cell Lymphoma Masquerading As Follicular Lymphoma​, Matthew Lee, Jennifer Barker, Fatemeh Mousavi

East Florida Division GME Research Day 2025

No abstract provided.

Lipoleiomyoma Of The Uterus, A Benign Metastasizing Tumor, Munira Malik, Mohtashim Naeem, Susana Ferra

East Florida Division GME Research Day 2025

No abstract provided.

Artificial Intelligence In Cancer-Related Malnutrition And Cachexia: A Transformative Tool In Clinical Nutrition, Salvatore Carbone

EVMS School of Health Professions Faculty Publications

[Introduction] Malnutrition and cachexia are common complications in cancer patients, and they negatively influence prognosis, treatment efficacy, and tolerability as well as quality of life [[1], [2], [3]]. Accurately identifying and effectively managing malnutrition and cachexia in this population remains a clinical challenge. Conventional validated screening tools may lack the sensitivity and specificity required for early detection and personalized intervention in diverse cancer types and treatment settings [4,5]. Over the last decade, the use of artificial intelligence (AI), including machine learning (ML) and deep learning (DL) strategies, has shown promising results in clinical nutrition, with the potential to revolutionize nutritional …

Comparing Patency Of Pulmonary Stent Implantation And Balloon Angioplasty In Pulmonary Vein Stenosis: A Systematic Review And Meta-Analysis, Izza Batool, Muhammad K. Khan, Muhammad Zohaib, Ibrahim A. Khan, Syed A. A. Bukhari, Shreeja Shah, Khaled Harmouch, Hussam Al Hennawi, Bruce D. Klugherz

Abington Jefferson Health Papers

Pulmonary vein stenosis (PVS) is an insidious diagnosis associated with morbidity and mortality. Pharmacologic therapy may suffice initially, but advanced stages demand mechanical intervention. Pulmonary stent implantation (PSI) and pulmonary balloon angioplasty (PBA) are common strategies, both carrying restenosis risks. This meta‐analysis compares PSI and PBA to determine the superior revascularization strategy. We systematically searched databases until November 2023, identifying 11 studies with 780 patients. Studies, including those involving patients undergoing balloon angioplasty (BA) or stent angioplasty (SA) for PVS, were selected. Case reports, editorials, and cross‐sectional studies were omitted. Primary outcomes included restenosis requiring reintervention, 5‐year freedom from restenosis, …

Learning From Leads: A 1d Dilated Resnet For Ecg Chagas Disease Screening, Somesh Saini, Matheus Lima Diniz Araujo

Student Scholarship

No abstract provided.

Improving Communication And Follow Up For Incidental Findings From Panscan Imaging, Makenzie Morrissey, Kristen Payne, Randall Rittmann, Chris Robert, Joseph Lim, Danielle Pigneri

North Texas Research Forum 2025

OBJECTIVE: Incidental findings in medical imaging pose a significant challenge in healthcare due to the potential for missed follow-ups, which can lead to adverse outcomes for patients. These findings, which are unrelated to the primary purpose of the imaging study, are increasingly common due to advances in imaging technology and its widespread use. The consequences of missed follow-ups can be severe. For instance, the rate of malignancy in incidental pulmonary nodule id about 5% and follow up fails in 30-70% of cases. This means for every 120 CT chest scans ordered, 1 lung cancer is missed (McWilliams et al., 2013). …

Not Your Average Syncope: A Case Of Bifascicular Block, Shuchita Jhaveri, Maria Amigo, Zahoor Khan, Marloe Prince

Gulf Coast Division GME Research Day 2025

No abstract provided.

Unveiling A Rare Pathology: Carcinosarcoma Of The Gallbladder, Gul Emek Wymer, Laci-Rae Pitter, Susana Ferra

East Florida Division GME Research Day 2025

Introduction: Gallbladder carcinosarcoma is a rare and aggressive biliary tract malignancy, constituting approximately 1.7% of gallbladder cancers, with fewer than 100 cases reported in the English literature as of 2023. These tumors, often affecting gynecological organs, feature both carcinomatous and sarcomatous components. They predominantly occur in females, with a mean presentation age of 66 years. Diagnosis is primarily based on pathological analysis, and the mainstay of treatment is surgical excision.

Case Description: We present a case of an 81-year-old female with no significant medical history, who was admitted after a fall. A CT scan revealed an 18.2 cm gallbladder mass …

Severe Right Ventricular Dilation Due To Selenium Deficiency In A Post Gastric Bypass Patient - A Rare But Life Threatening Complication, Arjun Kamath, Jorge Garza, Ethan Goldberg, A Syed, Deekshita Valiveti, Abhay Vakil, Zuhair Ali, A Ashgar, Luay Alalawi, Heriberto Cantu, Thomas Alexander

Gulf Coast Division GME Research Day 2025

No abstract provided.

Implementation Of Formalized Education Of Ultrasound-Guided Intravenous Peripheral Line Placement In A Family Medicine Residency, Lucas Zadan, Gloria Travieso-Zadan, Sean Quinonez

West Florida Division GME Research Day 2025

No abstract provided.

Can Residents Cheat The Unknown Slide Sessions By Using The Large Language Models? Which Model Should They Use: Chat-Gpt, Claude, Or Gemini?​, Gul Emek Wymer, Susana Ferra

East Florida Division GME Research Day 2025

Introduction: In recent years, artificial intelligence tools, such as large language models (LLMs) have expanded the potential for diagnostic medicine, including histopathology. This study aims to evaluate the diagnostic ability and utility of the publicly available large language models in predicting the accurate diagnosis of the unknown cases by using the images of the hematoxylin-eosin stained slides taken by a mobile phone and compare their performance with the residents’ performance.

Method: The twenty cases, including a variety of entities, were collected from teaching sets of non-HCA patients and public available domains, which are used for unknown slide sessions for residents. …

Real Time Non-Targeted Renal Biopsy Adequacy Evaluation: A Successful Quality Improvement Activity, Astrid Sacasa, Susana Ferra

East Florida Division GME Research Day 2025

Introduction. Adequate renal biopsies are essential for the diagnosis and treatment of medical renal disease. This process requires a sufficient number of glomeruli for light microscopy, immunofluorescence, and electron microscopy evaluation. On-site microscopic evaluation of kidney biopsy specimens significantly improves sample adequacy and the ability to render a diagnosis, with studies showing a much higher rate of inadequate samples when on-site evaluation is absent. Inadequate biopsies can have a significant negative impact on patient care including delay of adequate diagnoses, worsening of the patients’ condition and complications, and increasing costs due to the need for repeat biopsies. A real time …

Electrochemical And Nanomaterial Based Strategies For Nonenzymatic Glucose Detection: A Review, Reagan Aviha, Gymama Slaughter

Center for Bioelectronics Publications

Electrochemical glucose sensing technologies have undergone significant evolution, with continual advancements aimed at improving sensitivity, selectivity, and user convenience. This review systematically explores the development of emerging nonenzymatic glucose sensor designs. Nonenzymatic sensors are critically evaluated for their ability to overcome enzymatic limitations, leveraging novel materials and catalytic mechanisms. Additionally, the emergence of smartphone-integrated glucose monitoring systems is highlighted as the fifth generation, representing a paradigm shift toward personalized, real-time healthcare management. Emphasis is placed on the strategies employed to reduce the working electrode potential and enhance analytical performance. Key analytical metrics and real-sample applicability are evaluated, and persistent challenges …

Is Pathogen Molecular Testing Reshaping Outpatient Antibiotic Prescribing?, Barbara D. Alexander, William D. Irish, Adriana E. Rosato, Barry I. Eisenstein, Maren S. Fragala, Steven E. Goldberg, David B. Nash

College of Population Health Faculty Papers

No abstract provided.

Treatment Sequence With Tebentafusp And Immune Checkpoint Inhibitors In Patients With Metastatic Uveal Melanoma And Metastatic Gna11/Gnaq Mutant Melanocytic Tumors, Florentia Dimitriou, Marlana Orloff, Erica Koch Hein, Phil Cheng, Isaac Hughes, Ester Simeone, Kamaneh Montazeri, Piyush Grover, Inderjit Mehmi, Camille Gerard, Caroline Gaudy-Marqueste, Jean-Jacques Grob, Olivier Michielin, Omid Hamid, Georgina Long, Ryan Sullivan, Ellen Kapiteijn, Douglas Johnson, Paolo Ascierto, Anthony Joshua, Richard Carvajal, Marcus Butler, Jessica Hassel, Reinhard Dummer

Kimmel Cancer Center Faculty Papers

BACKGROUND: Metastatic uveal melanoma (mUM) is rare. Immune checkpoint inhibitors (ICIs) have shown modest efficacy in mUM. Tebentafusp prolonged overall survival (OS) in a phase 3 study. We aimed to investigate the efficacy and safety of the sequence of tebentafusp and ICIs.

METHODS: Patients with HLA-A * 02:01 positive mUM, or metastatic GNA11/GNAQ mutant melanocytic tumors treated with tebentafusp followed by ICIs (group 1) or the inverse sequence (group 2) at any treatment line were retrospectively identified. The primary objective was OS rate at 2 years.

RESULTS: 131 patients were included; 51 in group 1 and 80 in group 2. …

Magnetization Transfer Ratio In The Typically Developing Pediatric Spinal Cord: Normative Data And Age Correlation, Sara Naghizadeh Kashani, Iswarya Vel, Zahra Sadeghi Adl, Shiva Shahrampour, Devon Middleton, Mahdi Alizadeh, Laura Krisa, Scott Faro, Slimane Tounekti, Julien Cohen-Adad, Feroze Mohamed

Department of Radiology Faculty Papers

BACKGROUND AND PURPOSE: This study presents automated atlas-based magnetization transfer (MT) measurements of the typically developing pediatric cervical spinal cord (SC). We report normative MT ratio (MTR) values from the whole cervical cord white matter (WM) and WM tracts, examining variations with age, sex, height, and weight.

METHODS: MT scans of 33 healthy females (mean age = 12.8) and 22 males (mean age = 13.09) were acquired from the cervical SC (C2-C7) using a 3.0 T MRI. Data were processed using the SC Toolbox, segmented, and registered to the PAM50 template. Affine and non-rigid transformations co-registered the PAM50 WM atlas …

Training Set Augmentation And Harmonization Enables Radiomic Models To Detect Early Onset Of Lung Cancer, Claire Huchthausen, Menglin Shi, Gabriel L.A. Sousa, James Larner, Einsley Janowski, Jonathan Colen, Krishni Wijesooriya

Data Science Faculty Publications

Radiomics-based machine learning models have the potential to detect lung cancer at inception from CT scans and transform patient outcomes. Low malignancy rates in early-development pulmonary nodules (PNs) and variable image acquisition hinder development of clinically applicable radiomics-based early detection models. To address these challenges, we augmented training using later-development PNs and harmonized for acquisition effects. We first trained machine learning models to predict PN malignancy using radiomic features from scans of early-development benign and malignant PNs (n = 187) harmonized using ComBat. Observing near-chance performance, we augmented training with later-development benign and malignant PNs (n = 225). We evaluated …

A Rare Complication Of Dilation And Evacuation: Unrecognized Extrauterine Retained Products Of Conception, Aviana Terschueren, Lauren Siewertsz Van Reesema, Joseph Hudgens

Department of Obstetrics & Gynecology Faculty Publications

Introduction: Surgical abortions, including dilation and evacuation, are among the safest gynecological procedures, with complication rates ranging from 0.5–4.0%. Uterine perforation, though rare (0.2–0.8%), can result in serious sequela, including translocation of retained products of conception into the abdominal cavity. We present a rare case of abdominal retained products of conception following a second-trimester dilation and evacuation.

Case Report: A 29-year-old G3P1112 underwent an elective surgical abortion at 17 weeks’ gestation, complicated by hemorrhage necessitating transfer to an outside hospital. She was treated with uterotonics and a blood transfusion and was discharged after a 6-day hospitalization. Initial transvaginal ultrasound showed …

High-Fidelity Soh Prediction In Lithium-Ion Batteries Using Hybrid Ml Networks, Shafiyee Islam, Gon Namkoong

Electrical & Computer Engineering Faculty Publications

Accurate and efficient prediction of lithium-ion battery state of health (SOH) is critical for ensuring reliability in electric vehicles, grid storage, and aerospace systems. Traditional SOH estimation methods often struggle with nonlinear degradation behaviors and lack sensitivity to subtle electrochemical signals, limiting their real-world deployment. To address these challenges, this study examines hybrid deep learning models that integrate differential capacity (dQ/dV) analysis to enhance predictive accuracy. Four hybrid architectures - hybrid CNN-LSTM multihead, CNN extractor for LSTM, DNN-LSTM, and DNN Bi-LSTM - were developed and evaluated using the NASA randomized battery usage dataset, offering a realistic benchmark under diverse operational …

Detecting Sars-Cov-2 In Ct Scans Using Vision Transformer And Graph Neural Network, Kamorudeen Amuda, Almustapha Wakili, Tomilade Amoo, Lukman Agbetu, Qianlong Wang, Jinjuan Feng

Electrical & Computer Engineering Faculty Publications

The COVID-19 pandemic has presented significant challenges to global healthcare, bringing out the urgent need for reliable diagnostic tools. Computed Tomography (CT) scans have proven instrumental in detecting COVID-19-induced lung abnormalities. This study introduces Convolutional Neural Network, Graph Neural Network, and Vision Transformer (ViTGNN), an advanced hybrid model designed to enhance SARS-CoV-2 detection by combining Graph Neural Networks (GNNs) for feature extraction with Vision Transformers (ViTs) for classification. Using the strength of CNN and GNN to capture complex relational structures and the ViT capacity to classify global contexts, ViTGNN achieves a comprehensive representation of CT scan data. The model was …