Diagnosis Commons^™

Novel Engineering Approaches For Orthopedic Injury Treatment And Infection Diagnosis, Cynthia Co

Bioengineering Dissertations - Archive

Bioengineering has made significant contributions to the treatment of orthopedic injury through interdisciplinary approaches. Central to these advancements are many orthopedic implants, including anchors and joint replacements, which have been designed to restore mobility. Despite their functional efficacy, these products have limited lifespan and are associated with many complications, such as implant-associated infection. The success of implant design and function, both in the short and long term, is paramount for enhancing patient outcomes and overall well-being. Therefore, my thesis work is dedicated to addressing these critical challenges, aiming to maximize their treatment effect while minimizing the implant-associated complications.

Long-term patient …

Burnout In Athletic Training: Measured By Survey In Most Common Settings For Athletic Trainers, R Johnson Krug, N Sand, S Brooks, T Smith

Clinical Practice in Athletic Training

Introduction: Burnout is a common problem in athletic training, affecting both athletic trainers (ATs) and the athletes they serve. Athletic trainers are responsible for the prevention, diagnosis, and treatment of sports-related injuries. Long work hours, often including evenings and weekends, as well as frequently under pressure to meet the demands of athletes, coaches, and parents. Athletic trainers face numerous stressors that contribute to burnout. These stressors may include heavy workloads, lack of control over their schedules, time pressures, and pressure to produce positive outcomes. Athletic trainers may also experience emotional and physical exhaustion, depersonalization, and a reduced sense of personal …

Athletic Trainers’ Familiarity With Potential Concussion Biomarkers: A Descriptive Study, T R. Campbell, B J. Davis, J C. Martinez, J M. Cavallario

Clinical Practice in Athletic Training

Introduction: An estimated 3.8 million individuals sustain a concussion annually in the United States. Despite the high number of cases, this number may not accurately depict the true incidence rate due to underreporting of symptoms by patients. With current concussion tools relying heavily on subjective input from patients, it is imperative that a valid and reliable objective tool, such as a clinical biomarker, is identified to improve concussion diagnosis and management. If such a biomarker is identified, it will be essential that athletic trainers (ATs) be familiar with how biomarkers could be used. The purpose of this study was to …

Non-Invasive Monitoring Device For Early Detection Of Breast Cancer Related Lymphedema, Amy Prendergast

Honors Theses and Capstones

Breast Cancer Related Lymphedema (BCRL) is a common co-morbidity in cancer survivors following neoadjuvant therapies such as chemotherapy, radiation, and/or surgery. It is brought about by the disruption in the lymphatic system (think lymph node biopsy) that leads to a buildup of lymphatic fluid in the arm. Current diagnostic strategies for this condition are merely retroactive, and fairly limited in the parameters that are examined to ensure patient well-being long term. We hypothesize that with an approach that mimics bioimpedance spectroscopy analysis, we will be able to provide a clinical support tool that would better determine early stages of lymphedema …

Machine Learning As A Tool For Early Detection: A Focus On Late-Stage Colorectal Cancer Across Socioeconomic Spectrums, Hadiza Galadima, Rexford Anson-Dwamena, Ashley Johnson, Ghalib Bello, Georges Adunlin, James Blando

Community & Environmental Health Faculty Publications

Purpose: To assess the efficacy of various machine learning (ML) algorithms in predicting late-stage colorectal cancer (CRC) diagnoses against the backdrop of socio-economic and regional healthcare disparities. Methods: An innovative theoretical framework was developed to integrate individual- and census tract-level social determinants of health (SDOH) with sociodemographic factors. A comparative analysis of the ML models was conducted using key performance metrics such as AUC-ROC to evaluate their predictive accuracy. Spatio-temporal analysis was used to identify disparities in late-stage CRC diagnosis probabilities. Results: Gradient boosting emerged as the superior model, with the top predictors for late-stage CRC diagnosis being anatomic site, …

Unraveling The Complex Interactions Among Lung Cancer, Copd, Cardiovascular Disease, And Pulmonary Fibrosis: Overlapping Risks, Converging Pathways, And Integrated Care Approaches, Daisy Umutoni, Mayowa Soloman Owolabi, Sakariyau Adio Waheed

Chemistry & Biochemistry Faculty Publications

Background: The coexistence of lung cancer, chronic obstructive pulmonary disease (COPD), cardiovascular disease (CVD), and pulmonary fibrosis poses significant challenges in clinical management due to shared risk factors, overlapping pathogenic mechanisms, and the complexity of co-managing multimorbid conditions. Smoking, environmental exposures, and genetic predispositions are critical shared risk factors, while common molecular mechanisms such as oxidative stress, chronic inflammation, and aberrant tissue remodeling contribute to the pathogenesis of these diseases. This review comprehensively examines the prevalence, shared mechanisms, and clinical implications of these comorbid conditions, emphasizing the importance of integrated management strategies to improve patient outcomes. We further highlight research …

Diagnostic Certainty During In-Person And Telehealth Autism Evaluations, Natasha N. Ludwig, Calliope Holingue, Ji Su Hong, Luther G. Kalb, Danika Pfeiffer, Rachel Reetzke, Deepa Menon

Speech-Language Pathology Faculty Publications

Background

Many diagnostic evaluations abruptly shifted to telehealth during the COVID-19 pandemic; however, little is known about the impact on diagnosis patterns for children evaluated for autism spectrum disorder (ASD). The purpose of this clinical research study was to examine (1) the frequency of diagnoses evaluated beyond ASD; (2) the frequency of diagnoses made, including ASD; and (3) clinician diagnostic certainty for all diagnoses evaluated for children who received an evaluation due to primary concerns about ASD via telehealth during the pandemic compared to those evaluated in person before the pandemic at an ASD specialty clinic.

Methods

The sample included …

The Unequal Distribution Of Social Risk For Black Men Across The Life-Span. A Novel Framework., Waleed Y. Sami

Adultspan Journal

This conceptual overview offers a comprehensive overview of systemic pathways that negatively impact the mental health of Black Men throughout their lives. Our argument highlights the importance for counselors and mental health professionals to utilize a thorough social risk assessment that considers these pathways in order to effectively address the mental health needs of Black Men while fostering positive working relationships. This overview strongly advocates for the use of context and structural determinants when evaluating mental health symptoms. Without an appropriate understanding of social risk and determinants, counselors may inadvertently perpetuate disparities by decontextualizing symptomology, and reproducing racist discourse.

Machine-Learning-Enabled Diagnostics With Improved Visualization Of Disease Lesions In Chest X-Ray Images, Md. Fashiar Rahman, Tzu-Liang (Bill) Tseng, Michael Pokojovy, Peter Mccaffrey, Eric Walser, Scott Moen, Alex Vo, Johnny C. Ho

Mathematics & Statistics Faculty Publications

The class activation map (CAM) represents the neural-network-derived region of interest, which can help clarify the mechanism of the convolutional neural network’s determination of any class of interest. In medical imaging, it can help medical practitioners diagnose diseases like COVID-19 or pneumonia by highlighting the suspicious regions in Computational Tomography (CT) or chest X-ray (CXR) film. Many contemporary deep learning techniques only focus on COVID-19 classification tasks using CXRs, while few attempt to make it explainable with a saliency map. To fill this research gap, we first propose a VGG-16-architecture-based deep learning approach in combination with image enhancement, segmentation-based region …

The Use Of Telehealth Evaluations For Diagnosis Of Autism Spectrum Disorder In Children Aged 0-7: A Literature Review, Teah L. Ruiz

Honors Undergraduate Theses

The following literature review was intended to review current research studies related to diagnostic evaluation using Telehealth for young children aged 0-7 seeking a diagnosis of autism spectrum disorder (ASD). The analyzed research created a comprehensive guide on the quality, quantity, and state of Telehealth research for ASD evaluation will result. Through the synthesis of available literature, the strengths, and weaknesses of different models of Telehealth ASD evaluation were assessed. The results of this literature review found that there is evidence to support Telehealth’s use in some aspects of evaluation, but not as a stand-alone methodology. Further research is required …

Assessment Of Forensic And Clinical Criteria Of Orbital Blowout Fractures For Use In Bioarchaeological Analysis, Dylan E. Ornot

Honors Undergraduate Theses

Orbital blowout fractures are a particular facial fracture occurring within the inner eye orbits of the face caused by blunt force trauma to the eyeball or the lower orbital rim. This fracture is common in modern clinical contexts due to physical assaults, but examining this fracture in skeletal material can also provide insights into the patterns of interpersonal violence within the fields of bioarchaeology and forensic anthropology. Issues with analyzing this fracture in skeletal material arise due to the clinical assessment practices of blowout fractures, where medical practitioners are highly focused on the soft tissue presentations of the fracture in …

Detection Of Micrornas In Blood Samples Using Biosensors For The Detection Of Early-Stage Lung Cancer, Nicholas Bruno

Honors Undergraduate Theses

Lung cancer kills more people in the U.S. a year than any other cancer. This is largely because patients often remain asymptomatic until stage 3, by which time the tumor is usually highly malignant. High radiation-producing screenings are the current method of lung tumor detection. These typically involve machinery for tumor visualization, such as computed tomography (CT) scans, positron emission tomography (PET scan), magnetic resonance imaging (MRI), and X-rays. Not only does radiation exposure from this equipment pose a risk to the patient, but any tumors detected by these scanning techniques are likely to be locally advanced. This suggests that …

Disseminated Coccidioidomycosis Discovered Through Skin Biopsy In A Pregnant Patient From Mexico, Henry Lim, Christina Guo, Marshall Hall, Christian Scheufele, Christopher M. Wong, Michael Carletti, Stephen Weis

North Texas GME Research Forum 2024

Introduction: Coccidioidomycosis is an infection caused by the organism Coccidioides immitis, a fungus endemic to the southwestern United States, Mexico, Central and South America. The presentation of coccidioidomycosis can range from symptoms resembling a simple upper respiratory infection, such as cough, to more severe systemic symptoms including fever, malaise, and chills. Cutaneous lesions of coccidioidomycosis demonstrate a large heterogeneity of clinical manifestations but are significant as they may be the presenting sign of disseminated disease. While usually confined to the lungs, extrapulmonary coccidioidomycosis can occur in about 1 in 200 patients, most commonly associated with immunocompromised status. Pregnancy is an …

Improving Lesion Diameter Reporting On Skin Biopsy Requisition Forms: A Quality Improvement Project, Christopher Wong, Christian Scheufele, Marshall Hall, Henry Lim, Daniel A. Nguyen, Stephen Weis, Michael Carletti, Dustin Wilkes

North Texas GME Research Forum 2024

Background: Skin biopsy requisition forms (SBRFs) are the primary communication tool between dermatologists and dermatopathologists. Diameters of biopsied skin lesions are frequently omitted on SBRFs. This quality improvement project aimed to increase the rate of reporting diameters of neoplasms on SBRFs from an academic dermatology outpatient clinic to greater than 65% within three years. Methods: The Plan-Do-Study-Act model was utilized. An initial audit was performed for SBRFs of biopsies obtained between July 1, 2021, and February 4, 2022 (“Cycle 1”). On February 4, 2022, the authors discussed societal guidelines for lesion diameter reporting on SBRFs (“Intervention A”). Cycle 2 prospectively …

Caries Risk Prediction In Pediatric Patients Using Machine Learning Techniques: A Retrospective Study, Nagarathna P J, Vishnu Priya Veeraraghavan, Aysha Jebin A, Shikar Daniel, Kaladhar Reddy Aileni, Santosh R Patil

International Arab Journal of Dentistry

Introduction: Dental caries is a multifactorial disease prevalent in children and is often influenced by behavioral, environmental, and genetic factors. Traditional caries risk assessment methods have a limited accuracy and objectivity. Machine learning (ML) models provide a data-driven approach for predicting caries risk, thereby enabling targeted interventions.

Objectives: The main objective of this study is to develop and validate ML models for predicting caries risk in pediatric patients aged 6–12 years by incorporating clinical, behavioral, dietary, and socioeconomic factors.

Methods: This retrospective observational study included 148 children aged 6–12 years. Data, including demographic details, Decayed Missing Filling …

Reliability And Minimal Detectable Change Of The Mx3 Hydration Testing System, Ian Winter, Josie Burdin, Patrick B. Wilson

Exercise Science Faculty Publications

Assessing hydration status outside of laboratories can be challenging given that most hydration measures are invasive, stationary, costly, or have questionable validity. This study investigated the within-day, test-retest reliability, and minimal detectable change (MDC) of the MX3 Hydration Testing System (MX3 Diagnostics), a relatively low cost, noninvasive, and portable method to measure saliva osmolality. Seventy-five adults (44 men, 31 women; 29.6±10.8 yr, 171.1±9.2 cm, 79.1±15.4 kg) presented two saliva samples approximately 3 to 5 minutes apart. Fluid intake was avoided for at least 5 minutes prior to sample collections. For each sample collection, a researcher used the MX3 to tap …

A Scoping Review Of Population Diversity In The Common Genomic Aberrations Of Clear Cell Renal Cell Carcinoma, Sean S. Kumar, Ninad Khandekar, Komal Dani, Saina R. Bhatt, Vinay Duddalwar, Anishka D'Souza

Department of Medicine Faculty Publications

Introduction: Previous literature has shown that clear cell renal cell carcinoma (ccRCC) is becoming a more prevalent diagnosis and that the incidence and mortality differ both regionally and racially. While the molecular profiles for ccRCC are studied regionally through biopsy and sequencing techniques, the genomic landscape and ccRCC diversity data are not well-studied. We conducted a review of the known genomic data on 6 of the most clinically relevant DNA biomarkers in ccRCC: Von Hippel-Landau (vHL), Polybromo-1 (PBRM1), Breast Cancer Gene 1-Associated Protein 1 (BAP1), Histone-Lysine N-Methyltransferase Domain-Containing 2 (SETD2), Mammalian Target of Rapamycin (mTOR), and Lysine-Specific Demethylase 5C (KDM5C). …

Improving Awareness And Identifying Risks For Emergence Delirium In Military Veterans, Hannah E. Pino

Graduate Theses, Dissertations, and Problem Reports (ETD)

Background: Emergence delirium (ED) is an acute state of confusion during the recovery phase from anesthesia that may be life-threatening, especially in the veteran population. Military veteran status may be explored by the Have You Ever Served questionnaire that was developed by the American Academy of Nursing to identify veterans upon admission to the hospital and thus be able to better care for them during their stay. This campaign has been in effect at the hospital site of this project for nearly 10 years. The questionnaire identifies military history risk factors such as combat history or a diagnosis of post-traumatic …

Twin Scholarships Of Glycomedicine And Precision Medicine In Times Of Single-Cell Multiomics, Seungyoul Oh, Weijie Cao, Manshu Song

Research outputs 2022 to 2026

Systems biology and multiomics research expand the prospects of planetary health innovations. In this context, this mini-review unpacks the twin scholarships of glycomedicine and precision medicine in the current era of single-cell multiomics. A significant growth in glycan research has been observed over the past decade, unveiling and establishing co- and post-translational modifications as dynamic indicators of both pathological and physiological conditions. Systems biology technologies have enabled large-scale and high-throughput glycoprofiling and access to data-intensive biological repositories for global research. These advancements have established glycans as a pivotal third code of life, alongside nucleic acids and amino acids. However, challenges …

Classification Of Vaginal Cleanliness Grades Through Surface-Enhanced Raman Spectral Analysis Via The Deep-Learning Variational Autoencoder: Long Short-Term Memory Model, Jia Wei Tang, Xin Ru Wen, Hui Min Chen, Jie Chen, Kun Hui Hong, Quan Yuan, Muhammad Usman, Liang Wang

Research outputs 2022 to 2026

In this study, it is aimed to establish a novel method based on a deep-learning-guided surface-enhanced Raman spectroscopy (SERS) technique to achieve rapid and accurate classification of vaginal cleanliness levels. We proposed a variational autoencoder (VAE) approach to enhance spectral quality, coupled with a deep learning algorithm long short-term memory (LSTM) neural network to analyze SERS spectra produced by vaginal secretions. The performance of various machine learning (ML) algorithms is assessed using multiple evaluation metrics. Finally, the reliability of the optimal model is tested using blind test data (N = 10/group for each cleanliness level). The data quality of the …