Diagnosis Commons^™

Generalization Of Net Benefit Of Diagnostic Tests Into Multi-Stage Clinical Conditions: A Collapsing Approach, Ferdous Ahmed

College of Graduate Studies: Theses & Dissertations

Evaluating diagnostic tests based on benefit-risk involves both the tests’ accuracy and the clinical implications of the diagnostic errors. Diagnostic tests are commonly classified into two stages: either positive or negative for a clinical condition (diseased or non-diseased). However, some diseases have more than two stages, such as Alzheimer’s. In diseases with more than two stages, the benefits and risks of the clinical consequences could differ from stage to stage. I could not find any investigations to account for the difference in benefits and risks of tests with more than two stages in the literature. The benefit to cost values …

Conservative Care Of A Patient With Initial Anterior Shoulder Dislocation Participating In An Intercollegiate Basketball: A Disablement Model Case Study, Lucas Bianco

Clinical Practice in Athletic Training

A 23-year-old male patient participating in intercollegiate basketball, suffered an acute shoulder dislocation. The patient was diagnosed with an anterior glenohumeral labral tear and was treated with an indirect approach to increase range of motion (ROM) and function while decreasing pain. Patient-related outcome (PRO) measures were used along with clinician related outcome (CRO) measures to discharge the patient. The immediate changes in ROM and pain along with follow-up assessments of the Disabilities of the Arm, Shoulder, Hand (DASH) Scale achieved Minimal Clinically Importance Difference (MCID) levels. As rehabilitation specialists, athletic trainers have the opportunity to provide quality care to patients …

Herpes Zoster As An Incidental Finding During Treatment For Thoracic Back Pain In A Collegiate Baseball Player, L E. Trail, B J. Warner, R L. Peebles, R M. Galbraith, C Cox, S A. Cage

Clinical Practice in Athletic Training

Background: A 21-year-old male collegiate baseball pitcher reported to the athletic training staff complaining of thoracic back pain when throwing during the non-traditional season. The patient did not recall a specific mechanism of injury, and noted that his pain had gradually increased over time. The patient reported no previous history of thoracic or lumbar spine injury. Further evaluation revealed multiple myofascial adhesions that did not resolve with conservative treatments. After the failure of conservative treatment, the patient was referred to the team physician for further evaluation.. Differential Diagnosis: Myofascial adhesions, Rib subluxation, Thoracic Disc Herniation Treatment: Upon referral, the team …

Clinical Diagnosis Support With Convolutional Neural Network By Transfer Learning, Spencer Fogleman, Jeremy Otsap, Sangrae Cho

SMU Data Science Review

Breast cancer is prevalent among women in the United States. Breast cancer screening is standard but requires a radiologist to review screening images to make a diagnosis. Diagnosis through the traditional screening method of mammography currently has an accuracy of about 78% for women of all ages and demographics. A more recent and precise technique called Digital Breast Tomosynthesis (DBT) has shown to be more promising but is less well studied. A machine learning model trained on DBT images has the potential to increase the success of identifying breast cancer and reduce the time it takes to diagnose a patient, …

Machine Learning Approach To Distinguish Ulcerative Colitis And Crohn’S Disease Using Smote (Synthetic Minority Oversampling Technique) Methods, Kris Ghimire, Walter Lai, Yasser Omar, Thad Schwebke, Jamie Vo

SMU Data Science Review

Irritable Bowel Disease (IBD) affects a sizable portion of the US population, causing symptoms such as vomiting, abdominal pain, and diarrhea. Despite the disease’s prevalence, the precise cause is not fully understood. This study consists of endoscopic and histological data from patients diagnosed with IBD and a control population for reference. The machine learning models' focus is to classify patients into IBD types. Several models were analyzed, including decision trees, logistic regression, and k-nearest neighbors. In addition, various methods of SMOTE were applied to determine the most effective transformation and ensuring that the dataset is balanced. The best model with …

Developing Deep-Learning Methods For Diagnosis And Prognosis Of Pediatric Progressive Diseases Using Modern Imaging Techniques, Mahdieh Shabanian

Theses and Dissertations (ETD)

Purpose and Rationale. Central nervous system manifestations form a significant burden of disease in young children. There have been efforts to correlate the neurological disease state in tuberous sclerosis complex (TSC) neurological disease state with imaging findings is a standard part of patient care. However, such analysis of neuroimaging is time- and labor-intensive. Automated approaches to these tasks are needed to improve speed, accuracy, and availability. Automated medical image analysis tools based on 3D/2D deep learning algorithms can help improve the quality and consistency of image diagnosis and interpretation for cognitive disorders in infants. We propose to automate neuroimaging analysis …

The Association Of Rs187238, Rs19465518 And Rs1946519 Il-8 Polymorphisms With Acute Kidney Injury In Preterm Infants, Fiva Aprilia Kadi

BioMedicine

ABSTRACT

Background: Interleukin 18 (IL-18) promoter polymorphisms (-656G>T, -607C>A, and -137G>C) affect serum IL-18 (sIL-18) levels and are associated with renal injury.

Purpose: This study aimed to determine the diagnostic utility of sIL-18 and urine IL-18 (uIL-18) as biomarkers for acute kidney injury (AKI) and analyse the association of IL-18 polymorphisms to AKI in preterm infants.

Methods: Blood and urine samples were collected from 56 preterm infants with AKI and 56 without AKI to measure serum creatinine (SCr), sIL-18, and uIL-18. Genotyping of polymorphisms was performed and analysed, with AUC-ROCs analysis used to evaluate …

Automated Classification Model With Otsu And Cnn Method For Premature Ventricular Contraction Detection, Liang-Hung Wang, Lin-Juan Ding, Chao-Xin Xie, Su-Ya Jiang, I-Chun Kuo, Xin-Kang Wang, Jie Gao, Pao-Cheng Huang, Patricia Angela R. Abu

Department of Information Systems & Computer Science Faculty Publications

Premature ventricular contraction (PVC) is one of the most common arrhythmias which can cause palpitation, cardiac arrest, and other symptoms affecting the work and rest activities of a patient. However, patients hardly decipher their own feelings to determine the severity of the disease thus, requiring a professional medical diagnosis. This study proposes a novel method based on image processing and convolutional neural network (CNN) to extract electrocardiography (ECG) curves from scanned ECG images derived from clinical ECG reports, and segment and classify heartbeats in the absence of a digital ECG data. The ECG curve is extracted using a comprehensive algorithm …

Geriatric Emergency Medicine Fellowship Journal Club: Frailty, Sarah Keene, Rebecca Fisher, Lauren Cameron-Comasco

Journal of Geriatric Emergency Medicine

No abstract provided.

A Novel Method For Ecg Signal Classification Via One-Dimensional Convolutional Neural Network, Xuan Hua, Jungang Han, Chen Zhao, Haipeng Tang, Zhuo He, Qinghui Chen, Shaojie Tang, Jinshan Tang, Weihua Zhou

Faculty Publications

This paper develops an end-to-end ECG signal classification algorithm based on a novel segmentation strategy and 1D Convolutional Neural Networks (CNN) to aid the classification of ECG signals and alleviate the workload of physicians. The ECG segmentation strategy named R-R-R strategy (i.e., retaining ECG data between the R peaks just before and after the current R peak) is used for segmenting the original ECG data into segments to train and test the 1D CNN models. The novel strategy mimics physicians in scanning ECG to a greater extent, and maximizes the inherent information of ECG segments for diagnosis. The performance of …

Trends In The Incidence Of Early-Onset Colorectal Adenocarcinoma Among Black And White Us Residents Aged 40 To 49 Years, 2000-2017., Eric M Montminy, Meijiao Zhou, Lauren Maniscalco, Harrison Penrose, Timothy Yen, Swati G Patel, Xiao-Cheng Wu, Jordan J Karlitz

School of Public Health Faculty Publications

Key Points: Question: What are the trends in early-onset colorectal cancer incidence rates when people aged 40 to 49 years are assessed specifically and stratification by race, sex, and adenocarcinoma histology (the target of screening and prevention) is performed? Findings: In this cross-sectional study of 45 429 individuals aged 40 to 49 years with colorectal adenocarcinoma from 2000 to 2017, beginning in 2014, overall colorectal adenocarcinoma incidence rates were the same in Black and White populations, and rectal adenocarcinoma rates were 39.3% lower in Black individuals compared with White individuals with a widening disparity in rectal cancer between Black women …

A Rare Diagnosis Of Strongyloides Stercoralis In The Pleural Cavity, Fatemeh Rhana Mousavi, Emon Alavi, Nick A. Hirad

HCA Healthcare Journal of Medicine

Strongyloides stercoralis is a soil-transmitted helminth that causes strongyloidiasis, a chronic parasitic infection in humans. S. stercoralis is one of several worm species that cause soil-transmitted helminthiasis, a neglected tropical disease. Herein, we discuss a 78-year-old female residing in a nursing home presenting with abdominal pain and shortness of breath. During a thoracentesis, physicians found multiple rhabditoid larvae consistent with S. stercoralis. However, before the procedure, a serial assessment of stool sample was performed and failed to demonstrate a parasitic infestation. Many of those infected with S. stercoralis are asymptomatic. Lack of symptoms and low sensitivity in traditional parasitological …

Criterion Validation And Interpretability Of The Single Assessment Numerical Evaluation (Sane) Of Self-Reported Recovery In Patients With Neck Pain, Elizabeth Oakley, Chad E. Cook, Bryan O'Halloran

Faculty Publications

Background

The SANE is a PROM of recovery, which may assist clinicians in clinical decision-making and discharge planning. The psychometric measurement properties of the SANE have yet to be determined for neck pain.

Objectives

Threefold objectives included: 1)determine the numerical threshold for the SANE at which patients with neck pain determine their symptoms are acceptable; 2)determine the association between scores for the NDI and VAS, with the SANE; 3)determine the average number of visits, costs and value associated with the management of neck pain.

Design

Longitudinal repeated measures cohort design.

Methods

Threshold measures for self-reported recovery with the …

Multiple Sclerosis And Its Symptom Management Through Supplementation And Dietary Planning, Lindsey J. Davis

Selected Honors Theses

Multiple Sclerosis (MS) is an autoimmune, neuroinflammatory disorder that is characterized by the breakdown of myelinated axons in the Central and Peripheral Nervous Systems. It is a potentially debilitating autoimmune disease that affects almost 1 million people in the United States, and nearly 2.5 million people worldwide. The precise etiology of MS is still being researched, but much progress has been made towards understanding the molecular mechanisms and impactful ways to treat this disease. While there is still no cure, new treatment plans are constantly being orchestrated in effort to alleviate the burden that MS carries. Combination treatment plans have …

Classical Findings Of Infantile Hepatic Hemangiomas, Senayit Demie, Michael Bossak

HCA Healthcare Journal of Medicine

Introduction

Hemangiomas are benign vascular tumors that are common during infancy. They are most commonly noted as superficial bright red lesions on the skin but can also be found deeper as subcutaneous lesions. Patients with multifocal cutaneous hemangiomas are at risk of visceral involvement with the liver being most commonly affected. Most hemangiomas can be monitored clinically as they are self-limiting. Despite this, hepatic hemangiomas can have serious complications including large arteriovenous shunts leading to cardiac compromise as well as severe hepatomegaly which can cause abdominal compartment syndrome, impaired ventilation and renal vein compression.

Clinical Findings

A six-month-old female, born …

Artificial Intelligence Toward Personalized Medicine, Muhammad Wildan Gifari, Pugud Samodro, Dhadhang Wahyu Kurniawan

Pharmaceutical Sciences and Research

In current medical practice when a patient feels symptoms he/she would consult the doctor. The doctor then gives medication in a one-fits-all fashion. However, recent genetics studies had shown that different genetic makeup can results in different effects on medication, so the medication should be customed for every individual. The main idea of “personalized medicine” is to provide the right intervention including medication to the right patient at the right time and dose. With this approach, the medication paradigm would shift from curative to preventive. The rise of personalized medicine had been possible because the information from ever-increasing biomolecular (proteomics, …

Gene Expression Profiling Of Mapk Pathway Inhibitor Resistance In Cutaneous Melanoma: Can Bioinformatics Be Used To Select Better Melanoma Cell Lines?, Stephen Luebker

Theses & Dissertations

Melanoma is the deadliest form of skin cancer, and incidence has continued to increase. Half of all melanomas have a BRAF V600E mutation and respond to MAPK pathway inhibitors, including BRAF inhibitor therapy or BRAF/MEK inhibitor combination therapy, but nearly all patients develop treatment resistance. Melanoma cell lines produce variable results as models of MAPK pathway inhibitor resistance. To better understand how the genomic similarity of a melanoma cell line to patient-derived tumors affects resistance mechanisms, differences in DNA mutations and copy-number alterations were compared between melanoma cell lines profiled by the Cancer Cell Line Encyclopedia and cutaneous melanoma tumors …

Proof Of Concept: The Use Of Renal Biomarkers In Critically Ill Pediatric Patients For Therapeutic Drug Monitoring, Christopher Lee Shaffer

Theses & Dissertations

Acute kidney injury (AKI) is a serious and common complication in critically ill pediatric patients. The incidence of pediatric AKI continues to increase, especially in patients who undergo surgical correction of congenital heart defects. Serum creatinine and urine output are the most commonly used tools to assess renal function, with international guidelines standardizing AKI-definitions based upon these parameters. However, changes in serum creatinine can occur 24 hours or later after a renal insult event, delaying the diagnosis and potential interventions to reverse injury. It is critical to identify endogenous renal biomarkers within the pediatric population that are both timely and …

Developing Methods To Detect And Diagnose Chronic Traumatic Encephalopathy During Life: Rationale, Design, And Methodology For The Diagnose Cte Research Project, Jeffrey Cummings, Numerous Authors, See Full List Below

School of Medicine Faculty Research

Background: Chronic traumatic encephalopathy (CTE) is a neurodegenerative disease that has been neuropathologically diagnosed in brain donors exposed to repetitive head impacts, including boxers and American football, soccer, ice hockey, and rugby players. CTE cannot yet be diagnosed during life. In December 2015, the National Institute of Neurological Disorders and Stroke awarded a seven-year grant (U01NS093334) to fund the “Diagnostics, Imaging, and Genetics Network for the Objective Study and Evaluation of Chronic Traumatic Encephalopathy (DIAGNOSE CTE) Research Project.” The objectives of this multicenter project are to: develop in vivo fluid and neuroimaging biomarkers for CTE; characterize its clinical presentation; refine …

Development Of Quantitative Molecular Photoacoustic Imaging For Noninvasive Cancer Diagnostics, Cayla Zandbergen

Dissertations and Theses (Open Access)

Traditional diagnostic imaging provides clinicians with anatomical information that guides both diagnosis and treatment planning; however, once a tumor has progressed enough to be visible, it has often reached an advanced stage. Molecular imaging techniques allow for real-time visualization of chemical and biological processes via imaging of specific biomarkers, which can facilitate detection of malignancies before they become visible. One biomarker of interest is blood oxygen saturation (SO₂) due to its correlation with hypoxia, which is associated with increased tumor malignancy; some studies have also established SO₂ as an independent biomarker of disease progression. Additionally, because cancerous …