Diagnosis Commons^™

Figure-8-Reconstruction Of Posterior Sternoclavicular Joint Dislocation 18 Days Post Initial Injury, M Suri, S Bunemann

Clinical Practice in Athletic Training

Introduction: Traumatic sternoclavicular joint injuries account for less than 3% of all traumatic joint injuries1. Although rare, posterior dislocation of the sternoclavicular joint has the potential to be life-threatening due to the proximity of vital structures posterior to the manubrium. This injury typically requires a high-energy force applied through the joint2. SC dislocations become increasingly difficult to reduce after 24 hours, so timely diagnosis and treatment are important. Glass et al. found mediastinal compression occurred 30% of the time with posterior dislocations. If left untreated, prolonged pressure on the superior mediastinum can cause erosion of the great vessels, tracheoesophageal fistula, …

A Comparison Of Chief Complaints, Specific Diagnoses, And Demographics Of Pediatric Urgent Care Visits Before And During The Covid-19 Pandemic: A Retrospective Study, Zaharoula A. Viennas, Julie Martin, Benjamin Klick, Tammy Speerhas, Turaj Vazifedan, Danielle Millspaugh, Jennifer Ferris, Margret Bedle, Lauren Paluch, Theresa Guins

Ellmer School of Nursing Faculty Publications

There was an increased incidence of pediatric patients who presented with injuries caused by falls not related to sports or other recreational activities, as well as for animal bites, during the early pandemic period of April 2020. Education of parents and caregivers of young children is warranted to raise awareness of the even greater potential for falls and animal bites when children are confined at home for longer than typical periods of time, as occurred with the stay-at-home government orders during the initial period of the COVID-19 pandemic.

Identifying The Serious Clinical Outcomes Of Adverse Reactions To Drugs By A Multi-Task Deep Learning Framework, Haochen Zhao, Peng Ni, Qichang Zhao, Xiao Liang, Di Ai, Shannon Erhardt, Jun Wang, Yaohang Li, Jiianxin Wang

Computer Science Faculty Publications

Adverse Drug Reactions (ADRs) have a direct impact on human health. As continuous pharmacovigilance and drug monitoring prove to be costly and time-consuming, computational methods have emerged as promising alternatives. However, most existing computational methods primarily focus on predicting whether or not the drug is associated with an adverse reaction and do not consider the core issue of drug benefit-risk assessment-whether the treatment outcome is serious when adverse drug reactions occur. To this end, we categorize serious clinical outcomes caused by adverse reactions to drugs into seven distinct classes and present a deep learning framework, so-called GCAP, for predicting the …

Leukocyte Surface Biomarkers Implicate Deficits Of Innate Immunity In Sporadic Alzheimer's Disease, Xin Huang, Yihan Li, Christopher Fowler, James D. Doecke, Yen Ying Lim, Candace Drysdale, Vicky Zhang, Keunha Park, Brett Trounson, Kelly Pertile, Rebecca Rumble, John W. Pickering, Robert A. Rissman, Floyd Sarsoza, Sara Abdel-Latif, Yong Lin, Vincent Doré, Victor Villemagne, Christopher C. Rowe, Jurgen Fripp, Ralph Martins, James S. Wiley, Paul Maruff, Jacobo E. Mintzer, Colin L. Masters, Ben J. Gu

Research outputs 2022 to 2026

Introduction:

Blood-based diagnostics and prognostics in sporadic Alzheimer's disease (AD) are important for identifying at-risk individuals for therapeutic interventions.

Methods:

In three stages, a total of 34 leukocyte antigens were examined by flow cytometry immunophenotyping. Data were analyzed by logistic regression and receiver operating characteristic (ROC) analyses.

Results:

We identified leukocyte markers differentially expressed in the patients with AD. Pathway analysis revealed a complex network involving upregulation of complement inhibition and downregulation of cargo receptor activity and Aβ clearance. A proposed panel including four leukocyte markers – CD11c, CD59, CD91, and CD163 – predicts patients’ PET Aβ status with an …

Locally Performed Postoperative Circulating Tumour Dna Testing Performed During Routine Clinical Care To Predict Recurrence Of Colorectal Cancer, Ryan Cohen, Aaron Beasley, Melanie Mccoy, Cameron Platell, Katie Meehan, Elin Gray, Kathy Fuller

Research outputs 2022 to 2026

Background: Identifying patients at high risk for colorectal cancer recurrence is essential for improving prognosis. In the postoperative period, circulating tumour DNA (ctDNA) has been demonstrated as a significant prognostic indicator of recurrence. These results have been obtained under the strict rigours of clinical trials, but not validated in a real-world setting using in-house testing. We report the outcomes of locally performed postoperative ctDNA testing conducted during routine clinical care and the association with the recurrence of colorectal cancer. Methods: We recruited 36 consecutive patients with newly diagnosed colorectal cancer between 2018 and 2020. Postoperative plasma samples were collected at …

Three-Dimensional Evaluation Of The Mandibular Lingula On Cone-Beam Computed Tomographic Images In The Turkish Population, Zerrin Unal Erzurumlu, Damla Torul

Journal of Dentistry Indonesia

Objective: The purpose of this study was to provide morphometric and anatomical data for mandibular lingula (Li) in The Turkish population using three dimensional-cone beam computed tomography (3D-CBCT) images. Methods: CBCT images of the patients taken between July 2020 and March 2021, were retrieved from the archival records. A total of 100 Li’s of 50 patients who met the criteria of this study were evaluated. The distances between the tip of the Li and ramal landmarks/occlusal plane were measured and the shape of the Li was evaluated on 3D-CBCT images. Results: CBCT images of the 50 patients (19 males and …

The Diagnostic Performance Of Ultrasonography In The Evaluation Of Extrathyroidal Extension In Papillary Thyroid Carcinoma: A Systematic Review And Meta-Analysis, Peter P. Issa, Aaron L. Albuck, Eslam Hossam, Mohammad Hussein, Mohamed Aboueisha, Abdallah S. Attia, Mahmoud Omar, Seif Abdelrahman, Gehad Naser, Robert D.E. Clark, Eman Toraih, Emad Kandil

School of Medicine Faculty Publications

Extrathyroidal extension (ETE) in patients with papillary thyroid carcinoma (PTC) is an indication of disease progression and can influence treatment aggressiveness. This meta-analysis assesses the diagnostic accuracy of ultrasonography (US) in detecting ETE. A systematic review and meta-analysis were performed by searching PubMed, Embase, and Cochrane for studies published up to April 2022. The pooled sensitivity, specificity, and diagnostic odds ratio (DOR) were calculated. The areas under the curve (AUC) for summary receiver operating curves were compared. A total of 11 studies analyzed ETE in 3795 patients with PTC. The sensitivity of ETE detection was 76% (95%CI = 74–78%). The …

Advances In Nlp Algorithms On Unstructured Medical Notes Data And Approaches To Handling Class Imbalance Issues, Hanna Lu

Computational and Data Sciences (PhD) Dissertations

This dissertation is composed of three research projects, each addressing one aspect of the text classification tasks on unstructured medical notes.

The first study investigated the model performance of sequence deep learning models that are widely used in NLP tasks such as RNN, GRU, LSTM, Bi-LSTM, as well as CNN and the novel and more advanced attention-based algorithms such as the Transformer Encoder and BERT-Base. The model performances of these algorithms were evaluated with and without pre-trained word embeddings. The Transformer Encoder model stood out as the best model for all tasks and the CNN model produced comparable performance when …

Alpha, Beta-Unsaturated Aldehydes: The Underrepresented Markers Of Disease., Saurin Sutaria

Electronic Theses and Dissertations

The peroxidation of unsaturated fatty acids is a widely recognized metabolic process that creates a complex mixture of volatile organic compounds including aldehydes. Elevated levels of reactive oxygen species in cancer cells promote random lipid peroxidation, which leads to an increase in a variety of aldehydes. Many of these volatile aldehydes are exhaled and are of interest as potential markers of disease. Chapter 1 presents a review of reported aldehydes in the exhaled breath of lung cancer patients. alpha,beta-Unsaturated aldehydes, detected primarily when derivatized during exhaled breath preconcentration, are underreported in the reviewed articles. Chapter 1 concludes with our hypothesis …

A Study Of Heart Disease Diagnosis Using Machine Learning And Data Mining, Intisar Ahmed

Electronic Theses, Projects, and Dissertations

Heart disease is the leading cause of death for people around the world today. Diagnosis for various forms of heart disease can be detected with numerous medical tests, however, predicting heart disease without such tests is very difficult. Machine learning can help process medical big data and provide hidden knowledge which otherwise would not be possible with the naked eye. The aim of this project is to explore how machine learning algorithms can be used in predicting heart disease by building an optimized model. The research questions are; 1) What Machine learning algorithms are used in the diagnosis of heart …

Multi-Block Data Integration Analysis For Identifying And Validating Targeted N-Glycans As Biomarkers For Type Ii Diabetes Mellitus, Eric Adua, Ebenezer Afrifa-Yamoah, Emmanuel Peprah-Yamoah, Enoch Odame Anto, Emmanuel Acheampong, Kwaafo Akoto Awuah-Mensah, Wei Wang

Research outputs 2022 to 2026

Plasma N-glycan profiles have been shown to be defective in type II diabetes Mellitus (T2DM) and holds a promise to discovering biomarkers. The study comprised 232 T2DM patients and 219 healthy individuals. N-glycans were analysed by high-performance liquid chromatography. The multivariate integrative framework, DIABLO was employed for the statistical analysis. N-glycan groups (GPs 34, 32, 26, 31, 36 and 30) were significantly expressed in T2DM in component 1 and GPs 38 and 20 were related to T2DM in component 2. Four clusters were observed based on the correlation of the expressive signatures of the 39 N-glycans across T2DM and controls. …

The Diagnosis Of Severe Combined Immunodeficiency: Implementation Of The Pidtc 2022 Definitions, Christopher C. Dvorak, Elie Haddad, Jennifer Heimall, Elizabeth Dunn, Morton J. Cowan, Sung-Yun Pai, Neena Kapoor, Lisa Forbes Satter, Rebecca H. Buckley, Richard J. O'Reilly, Sharat Chandra, Jeffrey J. Bednarski, Olatundun Williams, Ahmad Rayes, Theodore B. Moore, Christen L. Ebens, Blachy J. Davila Saldana, Aleksandra Petrovic, Deepak Chellapandian, Geoffrey D. E. Cuvelier, Mark T. Vander Lugt, Emi H. Caywood, Shanmuganathan Chandrakasan, Hesham Eissa, Frederick D. Goldman, Evan Shereck, Victor M. Aquino, Kenneth B. Desantes, Lolie Yu, Et Al

School of Medicine Faculty Publications

Background: Shearer et al in 2014 articulated well-defined criteria for the diagnosis and classification of severe combined immunodeficiency (SCID) as part of the Primary Immune Deficiency Treatment Consortium's (PIDTC's) prospective and retrospective studies of SCID. Objective: Because of the advent of newborn screening for SCID and expanded availability of genetic sequencing, revision of the PIDTC 2014 Criteria was needed. Methods: We developed and tested updated PIDTC 2022 SCID Definitions by analyzing 379 patients proposed for prospective enrollment into Protocol 6901, focusing on the ability to distinguish patients with various SCID subtypes. Results: According to PIDTC 2022 Definitions, 18 of 353 …

Artificial Intelligence And The Situational Rationality Of Diagnosis: Human Problem-Solving And The Artifacts Of Health And Medicine, Michael W. Raphael

Publications and Research

What is the problem-solving capacity of artificial intelligence (AI) for health and medicine? This paper draws out the cognitive sociological context of diagnostic problem-solving for medical sociology regarding the limits of automation for decision-based medical tasks. Specifically, it presents a practical way of evaluating the artificiality of symptoms and signs in medical encounters, with an emphasis on the visualization of the problem-solving process in doctor-patient relationships. In doing so, the paper details the logical differences underlying diagnostic task performance between man and machine problem-solving: its principle of rationality, the priorities of its means of adaptation to abstraction, and the effects …

Bell’S Palsy: My Journey With A Mysterious Nerve Disorder, Sneha Shah Bds

The Journal of the Michigan Dental Association

This article chronicles the personal journey of a dentist facing Bell's Palsy while pursuing licensure in the United States. Bell's Palsy, an idiopathic unilateral facial paralysis, is explored in detail, including its clinical presentation and differential diagnosis. The author shares their experiences, challenges, and treatments, shedding light on the impact of this mysterious nerve disorder on their daily life, work, and mental well-being. The article highlights the importance of early diagnosis, comprehensive evaluation, and treatment strategies for Bell's Palsy. The author's story serves as a poignant reminder for healthcare professionals to approach patients with empathy and compassion and recognize the …

Classification Of Breast Cancer Histopathological Images Using Semi-Supervised Gans, Balaji Avvaru, Nibhrat Lohia, Sowmya Mani, Vijayasrikanth Kaniti

SMU Data Science Review

Breast cancer is diagnosed more frequently than skin cancer in women in the United States. Most breast cancer cases are diagnosed in women, while children and men are less likely to develop the disease. Various tissues in the breast grow uncontrollably, resulting in breast cancer. Different treatments analyze microscopic histopathology images for diagnosis that help accurately detect cancer cells. Deep learning is one of the evolving techniques to classify images where accuracy depends on the volume and quality of labeled images. This study used various pre-trained models to train the histopathological images and analyze these models to create a new …

The Impossible Situation? Impasse As Psychotherapeutic Paralysis, Possibility, And Progress, Leo Cancelmo

Dissertations, Theses, and Capstone Projects

Psychotherapeutic impasse has long been understood in the clinical literature as treatment stagnation and even failure, both from one-person and two-person psychodynamic perspectives. However, there is a dearth of empirical research that delves deeper to understand this complex and rich phenomenon. Using semi-structured interviews with nine psychodynamic therapists speaking about individual adult patients, this study examined experiences of impasse to better understand treatments that become embroiled in a kind of paralysis. Qualitative analyses revealed dyads where patients were conceptualized as struggling chronically with negative feelings about themselves and others, and who experienced traumatic personal histories. Impasse in and of itself …

Testicular Adrenal Rest Tumors In A Patient With Congenital Adrenal Hyperplasia, Su-Yuan Yu Bs, Kelly Freed Md

Department of Radiology & Diagnostic Medical Imaging

No abstract provided.

Investigating The Correlation Between Lpr & Obesity, Andrew S. Franklin Bs, Chad A. Nieri Bs, M. Boyd Gillespie Md

Longitudinal Scholar's Project

Objectives: To determine whether Drug-Induced Sleep Endoscopy (DISE) findings of Laryngopharyngeal Reflux (LPR) correlate with obesity, gender, Epworth Sleepiness scale, and OSA severity.

Study design: Single center retrospective cohort study.

Methods: Patients greater than 18 years of age who underwent DISE by one surgeon at a tertiary care center from July 2016 to July 2022 were included. DISE findings, patient characteristics, demographics, polysomnogram(s), and Epworth Sleepiness Scale(s) were extracted. Fisher’s exact test was used to compare categorical variables, and independent sample t-test was used to compare continuous variables. All statistical analyses were performed using IBM SPSS Statistics 28.

Results: …

Computer Aided Diagnosis System For Breast Cancer Using Deep Learning., Asma Baccouche

Electronic Theses and Dissertations

The recent rise of big data technology surrounding the electronic systems and developed toolkits gave birth to new promises for Artificial Intelligence (AI). With the continuous use of data-centric systems and machines in our lives, such as social media, surveys, emails, reports, etc., there is no doubt that data has gained the center of attention by scientists and motivated them to provide more decision-making and operational support systems across multiple domains. With the recent breakthroughs in artificial intelligence, the use of machine learning and deep learning models have achieved remarkable advances in computer vision, ecommerce, cybersecurity, and healthcare. Particularly, numerous …

How Valuable Are Clinical Neuropsychological Assessments? A Meta-Analysis Of Neuropsychological Tests With Comparison To Common Medical Tests And Treatments, Murphy N. Harrell

Graduate Theses and Dissertations (2019 - present)

There has been a general decrease in neuropsychological assessments at a time when medical diagnostic technology and treatments have expanded, leading to a faulty assumption that medical tests and healthcare treatments provide more reliable or valid data than psychological assessments. A landmark report from the American Psychological Association’s (APA) Psychological Assessment Work Group (PAWG) found that validity coefficients for many psychological tests were indistinguishable from those of medical tests (Meyer et al., 2001). An updated systematic review of the advancement in neuropsychological testing is essential to the continued advancement of the value of neuropsychological assessment in healthcare. This meta-analysis sought …