Other Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons^™

Correlation Enhanced Distribution Adaptation For Prediction Of Fall Risk, Ziqi Guo, Teresa Wu, Thurmon Lockhart, Rahul Soangra, Hyunsoo Yoon

Physical Therapy Faculty Articles and Research

With technological advancements in diagnostic imaging, smart sensing, and wearables, a multitude of heterogeneous sources or modalities are available to proactively monitor the health of the elderly. Due to the increasing risks of falls among older adults, an early diagnosis tool is crucial to prevent future falls. However, during the early stage of diagnosis, there is often limited or no labeled data (expert-confirmed diagnostic information) available in the target domain (new cohort) to determine the proper treatment for older adults. Instead, there are multiple related but non-identical domain data with labels from the existing cohort or different institutions. Integrating different …

Classification Of Colorectal Cancer Using Resnet And Efficientnet Models, Abhishek Ranjan, Priyanshu Srivastva, B Prabadevi, R Sivakumar, Rahul Soangra, Shamala K. Subramaniam

Physical Therapy Faculty Articles and Research

Introduction:

Cancer is one of the most prevalent diseases from children to elderly adults. This will be deadly if not detected at an earlier stage of the cancerous cell formation, thereby increasing the mortality rate. One such cancer is colorectal cancer, caused due to abnormal growth in the rectum or colon. Early screening of colorectal cancer helps to identify these abnormal growth and can exterminate them before they turn into cancerous cells.

Aim:

Therefore, this study aims to develop a robust and efficient classification system for colorectal cancer through Convolutional Neural Networks (CNNs) on histological images.

Methods:

Despite challenges in …

Using Digital Assessment Technology To Detect Neuropsychological Problems In Primary Care Settings, David J Libon, Emily Frances Matusz, Stephanie Cosentino, Catherine C Price, Rod Swenson, Meagan Vermeulen, Terrie Beth Ginsberg, Adaora Obiageli Okoli-Umeweni, Leonard Powell, Robert Nagele, Sean Tobyne, Joyce Rios Gomes-Osman, Alvaro Pascual-Leone

Rowan-Virtua School of Osteopathic Medicine Faculty Scholarship

INTRODUCTION: Screening for neurocognitive impairment and psychological distress in ambulatory primary and specialty care medical settings is an increasing necessity. The Core Cognitive Evaluation™ (CCE) is administered/scored using an iPad, requires approximately 8 min, assesses 3- word free recall and clock drawing to command and copy, asks questions about lifestyle and health, and queries for psychological distress. This information is linked with patients' self- reported concerns about memory and their cardiovascular risks.

METHODS: A total of 199 ambulatory patients were screened with the CCE as part of their routine medical care. The CCE provides several summary indices, and scores on …

Using Cartesian Coordinate Systems To Create, Classify, And Retrieve Biomedical Time-Series: Applications To 24-Hour Ambulatory Blood Pressure Monitoring, Antonio Garcia, Gladys E. Maestre, John Blangero, Jesus D. Melgarejo, Julio Facelli

Research Symposium

Background: Ambulatory Blood Pressure Measurement (ABPM) allows physicians to monitor blood pressure variability under everyday living conditions and predicts clinical outcomes better than conventional blood-pressure measurement. ABPM can demonstrate mean arterial pressure (MAP) behavior over 24 hours relevant to clinical practice, such as nocturnal hypertension or increased blood pressure variability. We hypothesized that individuals with the same cardiovascular health status would have the same MAP signal (MAPs) waveform.

Methods: This study reutilizes a data subset from the IDACO Consortium to create 24-hour MAPs. We assigned all the MAPs to data matrix X, performed principal components analysis (PCA) to X, and …

Digital 3d Brain Mri Arterial Territories Atlas, Chin-Fu Liu, Johnny Hsu, Xin Xu, Ganghyun Kim, Shannon M. Sheppard, Erin L. Meier, Michael I. Miller, Argye E. Hillis, Andreia V. Faria

Communication Sciences and Disorders Faculty Articles and Research

The locus and extent of brain damage in the event of vascular insult can be quantitatively established quickly and easily with vascular atlases. Although highly anticipated by clinicians and clinical researchers, no digital MRI arterial atlas is readily available for automated data analyses. We created a digital arterial territory atlas based on lesion distributions in 1,298 patients with acute stroke. The lesions were manually traced in the diffusion-weighted MRIs, binary stroke masks were mapped to a common space, probability maps of lesions were generated and the boundaries for each arterial territory was defined based on the ratio between probabilistic maps. …

Clinical Utility Of Neutrophil To Lymphocyte Ratio In Sickle Cell Disease With Vaso-Occlusive Crisis, Satish Maharaj, Simone Chang

Hematology/Oncology and Stem Cell Therapy

Background and objectives: The neutrophil-to-lymphocyte ratio represents a universally accessible value that correlates with inflammation and prognosis in several disease states; however, the role of this biomarker in sickle cell disease remains poorly explored. Hence, the objective of the present study was to determine its potential clinical utility in patients with sickle cell disease.

Patients: Herein, we retrospectively reviewed 143 patients with sickle cell disease who presented to the emergency department with fever and painful vaso-occlusive crisis.

Results: The examined cohort had a prevalence of 11% confirmed bacterial infection, with approximately two-thirds reporting the use of hydroxyurea. The neutrophil-to-lymphocyte ratio …

Using Data And Evidence To Improve Quality Of Life For Patients With Alzheimer’S Disease, Ying Wang

2023

As an irreversible, progressive brain disorder, Alzheimer’s disease (AD) imposes a severe burden upon patients and their caregivers, as well as the healthcare system. Of the ten leading causes of death in the United States, Alzheimer’s disease is the only one without a pharmacological intervention that has been proven to cure or delay the onset of the disease. Aging is the primary risk factor contributing to Alzheimer’s disease in the elderly. With an aging population that continues to grow, the challenges for the healthcare system surrounding AD become more and more serious. My dissertation aims to contribute to a better …

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 …

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.

Succinic Semialdehyde Dehydrogenase Deficiency (Ssadhd): Qualitative Needs Assessment For Patients With A Rare Neurological Disorder, Cassandra Bovee, Kayla Woodring

Annual Research Symposium

No abstract provided.

Applications Of Unsupervised Machine Learning In Autism Spectrum Disorder Research: A Review, Chelsea Parlett-Pelleriti, Elizabeth Stevens, Dennis R. Dixon, Erik J. Linstead

Engineering Faculty Articles and Research

Large amounts of autism spectrum disorder (ASD) data is created through hospitals, therapy centers, and mobile applications; however, much of this rich data does not have pre-existing classes or labels. Large amounts of data—both genetic and behavioral—that are collected as part of scientific studies or a part of treatment can provide a deeper, more nuanced insight into both diagnosis and treatment of ASD. This paper reviews 43 papers using unsupervised machine learning in ASD, including k-means clustering, hierarchical clustering, model-based clustering, and self-organizing maps. The aim of this review is to provide a survey of the current uses of …

Altitude Illness, Kali Hepner

Capstone Showcase

With an increasing number of individuals traveling to high altitudes, it is important to address the risk these individuals face of developing altitude related illnesses. An example of high altitude related illness might be the elevation transition of travelers flying into Denver, Colorado (1,673 m) with the intention to then drive up to Rocky Mountain National Park’s Alpine Visitor Center (3,595 m) in the same day. This poses increased risk of unacclimatized visitors experiencing altitude illness in remote areas of the national park. This poster summarizes the diagnosis, prevention, and treatment of altitude illnesses so that clinicians and travelers may …

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 …

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, …

The Need For A Sepsis Screening Tool In An Outpatient Facility, Michael C. Ciccarone

Graduate Publications and Other Selected Works - Doctor of Nursing Practice (DNP)

Sepsis is an exaggerated inflammatory response generated by the immune system secondary to the presence of septicemia, or pathogens within the bloodstream. An average of 270,000 individuals die from sepsis each year, while a total of 1.7 million cases occur annually. Research has shown that the early identification of sepsis prior to hospital admission is associated with decreased lengths of stay, hospital-associated costs, and overall mortality. To demonstrate this research, 26 healthcare staff members in an outpatient clinic were provided with a pre-survey, qSOFA sepsis screening tool, and a post survey to determine if these materials
increased participant confidence when …

Posterior Reversible Encephalopathy Syndrome (Pres), Brittany Fera, Andrew Caravello

Rowan-Virtua Research Day

Posterior reversible encephalopathy syndrome (PRES) is a clinical and radiographic syndrome that describes certain neuroimaging findings in association with clinical symptoms such as headache, seizure, encephalopathy and vision changes. Classically, PRES is associated with poorly controlled hypertension, and patients present with elevated blood pressure in addition to their symptoms. Most importantly, imaging findings and symptoms are typically reversible, and are a separate entity from ischemic or hemorrhagic cerebrovascular accidents or autoimmune causes of similar symptoms, such as multiple sclerosis.

Seroprevalence Of Sars-Cov-2 Antibody In Echocardiography And Stress Laboratory, Renuka Jain, Stacie Kroboth, Denise Ignatowski, Bijoy K. Khandheria

Journal of Patient-Centered Research and Reviews

Purpose: Transesophageal echocardiography is an aerosol-generating procedure, and exercise stress testing is a potentially aerosol-generating activity. Concern has been raised about heightened risk of transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) among health care personnel participating in these procedures. We aimed to investigate the prevalence of past coronavirus disease 2019 (COVID-19) infection in echocardiography and stress laboratory staff.

Methods: All staff who worked in the echocardiography and stress laboratories of one high-traffic urban hospital from March 15, 2020, to June 15, 2020, were asked to voluntarily participate. Those willing to participate were consented, and past COVID-19 infection was …

C25: The “Spot Sign”: A Predictor Of Hematoma Expansion, Mckenzie Merritt

Annual Research Symposium

No abstract provided.

The Potential Of Raman Spectroscopy In The Diagnosis Of Dysplastic And Malignant Oral Lesions, Ola Ibrahim, M. Toner, Steven Flint, Hugh Byrne, Fiona Lyng

Articles

Early diagnosis, treatment and/or surveillance of oral premalignant lesions are important in preventing progression to oral squamous cell carcinoma (OSCC). The current gold standard is through histopathological diagnosis, which is limited by inter and intra observer and sampling errors. The objective of this work was to use Raman spectroscopy to discriminate between benign, mild, moderate and severe dysplasia and OSCC in formalin fixed paraffin preserved (FFPP) tissues. The study included 72 different pathologies from which 17 were benign lesions, 20 mildly dysplastic, 20 moderately dysplastic, 10 severely dysplastic and 5 invasive OSCC. The glass substrate and paraffin wax background were …

Biomedical Applications Of Vibrational Spectroscopy: Oral Cancer Diagnostics, Hugh Byrne, Isha Behl, Genecy Calado, Ola Ibrahim, M. Toner, Sheila Galvin, Claire M. Healy, Steven Flint, Fiona Lyng

Articles

Vibrational spectroscopy, based on either infrared absorption or Raman scattering, has attracted increasing attention for biomedical applications. Proof of concept explorations for diagnosis of oral potentially malignant disorders and cancer are reviewed, and recent advances critically appraised. Specific examples of applications of Raman microspectroscopy for analysis of histological, cytological and saliva samples are presented for illustrative purposes, and the future prospects, ultimately for routine, chairside in vivo screening are discussed.

Live Cell Biomass Tracking For Basic, Translational, And Clinical Research, Graeme Murray

Theses and Dissertations

Single cell mass is tightly regulated throughout generations and the cell cycle, making it an important marker of cell health. Abnormal changes in cell size can be the first indication of dysfunction in response to environmental stimuli such as cytotoxic drugs. Described here is the further development of high-speed live cell interferometry (HSLCI) to concurrently measure the changes in single cell mass of thousands of cells over time. Critically, the high-throughput nature of HSLCI provides realistic pictures of tumor heterogeneity. This throughput enabled HSLCI to correctly predict in vivo carboplatin sensitivity of three triple negative breast cancer patient derived xenografts, …

Ecg Monitoring In Athletes, Jalal Jwayyed, Kelly Purgason, Joseph Linder, Annamarie Alfery, Silvia Furman

Williams Honors College, Honors Research Projects

Athletes and medical personnel need reliable methods to monitor vital signs and detect potentially life-threatening issues before they occur. Electrocardiograph (ECG) monitors are currently the best method of detecting heart-related health issues. Current ECG monitors worn by athletes are difficult to use and lack the ability to track ECGs in real time. Through research and interviews with various clinicians, further problems have been identified that include poor electrode adhesion, and a lack of compatibility with the equipment worn by athletes. Our team proposes to develop solutions that will improve performance and comfort associated with ECG monitors for athletic applications. This …

Burnout With Caregiving Of Autism And The Covid19 Pandemic, Erin Babcock, Leah Recker

Williams Honors College, Honors Research Projects

I am working with Leah Recker and we are doing research on parent/caregiver burnout of those with children that have autism, especially during COVID. We are creating a survey on Qualtrics, using stem questions followed by Likert scale items, which we will then send to the Director of Programs, Lisa Thompson, at Autism Society of Greater Akron. She will then pass it along to the parents and caregivers within their community, via Facebook or their weekly newsletter. Parents/caregivers will have the opportunity to complete the survey and we will receive the results when done so. We will then analyze the …

Harnessing Acoustic Streaming For Bioanalysis In Microfluidics, Xiaojun Li

Graduate Theses, Dissertations, and Problem Reports

In the past few decades, microfluidic technology has been developed rapidly in both fabrication methods and multifunctionality integrations, making it a powerful tool for a wider variety of biological applications. The device fabrication method has expanded from conventional polymer-based micro devices to 3D-printed micro devices, and allows multiple functions such as electric, optic, magnetic and acoustic to be integrated on a single platform. This dissertation focuses on method development of acoustic streaming-based microfluidics in bioanalysis such as immunoassay, enzyme kinetics and DNA fragmentation analysis. In this dissertation, a micromixer was developed based on acoustic streaming generated from sharp-edge structure vibration …

Diagnostic Accuracy Of Mcmurry’S Test In The Diagnosis Of Meniscal Tears, Jessica Smyth, Hartwell Rainey

Physician Assistant Capstones, 2020-current

No abstract provided.

Extra Axial Chordoma Of The Distal Femoral Metaphysis: A Case Report, Long Nguyen, Irene Vasko Do, Gord G. Zhu Do, Veniamin Barshay Md, Ms, Phd

Cooper Rowan Medical Journal

Background

Chordomas are malignant bone tumors that are derived from remnant embryonic tissue of the notochord and are typically found in the axial midline. When they are found outside of the axial skeleton, the diagnosis can be challenging and elusive. Often, they are overlooked on initial presentation in lieu of other more common lesions, including cartilage tumors (eg, enchondroma, chondrosarcoma, osteochondromatosis) due to their overlapping features.

Case Report

A 30-year-old female with a four-year history of intermittent left knee pain presented for initial evaluation. Physical exam of the knee was unremarkable except for moderate tenderness on palpation. Radiographs showed a …

Development Of A Ct Metal Artifact Management Algorithm For Proton Therapy Planning (Ampp) For Head And Neck Cancer Patients, Daniela Branco

Dissertations & Theses (Open Access)

Purpose: Dental amalgams (high Z materials) are common sources of artifacts in Head and Neck (HN) images. Commercial artifact reduction techniques have been offered, but many are impractical, produce inaccurate CT images or are not clinically available, thus not widely implemented. The goal of this work is to use CT gantry tilts to develop and evaluate a stereoscopic HN metal artifact management algorithm and investigate its improvement in proton treatment planning.

Methods: The in-house CT metal artifact management method for proton planning (AMPP) uses two angled CT scans to generate a single image set with no metal artifacts posterior …

Clinical Validation And Diagnostic Rate/Outcomes Of A Dual Molecular Diagnostic Assay For Myotonic Dystrophy 1., Maxime Cadieux-Dion, Isabelle Thiffault, Midhat S. Farooqi, Joseph Alaimo

Research Days

No abstract provided.

Mechanical Thrombectomy For Acute Ischemic Stroke In The Cardiac Catheterization Laboratory., Steven A Guidera, Sudhir Aggarwal, J Doyle Walton, David Boland, Roy Jackel, Jeffrey D Gould, Brooke Kearins, Joseph Mcgarvey, Yan Qi, Brian Furlong

Department of Radiology & Diagnostic Medical Imaging

OBJECTIVES: The aim of this study was to determine the feasibility of establishing a mechanical thrombectomy (MT) program for acute ischemic stroke in a community hospital using interventional cardiologists working closely with neurologists.

BACKGROUND: American Heart Association/American Stroke Association 2018 guidelines give a Class I (Level of Evidence: A) recommendation for MT in eligible patients with large vessel occlusion stroke. Improvement in neurological outcomes with MT is highly time sensitive. Most hospitals do not have trained neurointerventionalists to perform MT, leading to treatment delays that reduce the benefit of reperfusion therapy.

METHODS: An MT program based in the cardiac catheterization …

Development Of Gaussian Learning Algorithms For Early Detection Of Alzheimer's Disease, Chen Fang

FIU Electronic Theses and Dissertations

Alzheimer’s disease (AD) is the most common form of dementia affecting 10% of the population over the age of 65 and the growing costs in managing AD are estimated to be $259 billion, according to data reported in the 2017 by the Alzheimer's Association. Moreover, with cognitive decline, daily life of the affected persons and their families are severely impacted. Taking advantage of the diagnosis of AD and its prodromal stage of mild cognitive impairment (MCI), an early treatment may help patients preserve the quality of life and slow the progression of the disease, even though the underlying disease cannot …