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

Identification Of Structural Brain Alterations In Adolescents With Depressive Symptomatology, J. Bashford‑Largo, R. James R. Blair, Karina S. Blair, Matthew Dobbertin, Ahria Dominguez, Melissa Hatch, Sahil Bajaj

Center for Brain, Biology, and Behavior: Faculty Publications

Introduction: Depressive symptoms can emerge as early as childhood and may lead to adverse situations in adulthood. Studies have examined structural brain alternations in individuals with depressive symptoms, but findings remain inconclusive. Furthermore, previous studies have focused on adults or used a categorical approach to assess depression. The current study looks to identify grey matter volumes (GMV) that predict depressive symptomatology across a clinically concerning sample of adolescents.

Methods: Structural MRI data were collected from 338 clinically concerning adolescents (mean age = 15.30 SD=2.07; mean IQ = 101.01 SD=12.43; 132 F). Depression symptoms were indexed via the Mood …

Epileptic Seizure Classification Using Image-Based Data Representation, Amber Surles

Graduate Theses and Dissertations (2019 - present)

Epilepsy is a recurrence of seizures caused by a disorder of the brain in over 3.4 million people nationwide. Some people are able to predict their seizures based off prodrome, which is an early sign or symptom that usually resembles mood changes or a euphoric feeling even days to an hour before occurrence. Consequently, the natural instincts of the body to react to an upcoming attack lends credence to the existence of a pre-ictal state that precedes seizure episodes. Physicians and researchers have thus sought for an automated approach for predicting or detecting seizures.

In this research, we evaluate the …

Development And Testing Of A Mapcheck3-Based Patient-Specific Qa Method For Prime Intensity Modulators Used With Bolus Electron Conformal Therapy, James T. Crist

LSU Master's Theses

Purpose: Irregular surfaces in bolus electron conformal therapy (BECT) create target volume dose inhomogeneity, which off-axis intensity modulation (IM) can reduce. This research developed and tested a patient-specific clinical quality assurance (QA) procedure for fabricated Passive Radiotherapy Intensity Modulation for Electrons (PRIME) devices used for IM-BECT delivery.

Methods: To evaluate MapCheck3 (MC3) diode array accuracy, electron dose measurements beneath PRIME devices were compared with scanned measurements in a water phantom. Lateral dose profile comparisons were made for 35 combinations of five beam energies (7-20MeV) and seven PRIME devices - converging and diverging island blocks (pins) having 100-68.8% intensities. To evaluate …

Specialized Late Cingulo-Opercular Network Activation Elucidates The Mechanisms Underlying Decisions About Ambiguity, Jordan E. Pierce, Nathan M. Petro, Elizabeth Clancy, Caterina Gratton, Steven E. Petersen, Maital Neta

Center for Brain, Biology, and Behavior: Faculty Publications

Cortical task control networks, including the cingulo-opercular (CO) network play a key role in decision-making across a variety of functional domains. In particular, the CO network functions in a performance reporting capacity that supports successful task performance, especially in response to errors and ambiguity. In two studies testing the contribution of the CO network to ambiguity processing, we presented a valence bias task in which masked clearly and ambiguously valenced emotional expressions were slowly revealed over several seconds. This slow reveal task design provides a window into the decision-making mechanisms as they unfold over the course of a trial. In …

Development Of Rp-Hplc Method For Simultaneous Determination Of Nebivolol Hydrochloride, Valsartan And Hydrochlorothiazide In Co-Administrated Antihypertensive Agents And Human Plasma, Shereen Mowaka, M. Rizk, Maha M. Abou El‐Alamin, Mariam Mohamed

Pharmacy

Reversed phase high performance liquid chromatography combined with photodiode array (HPLC-PDA) detector method was developed for simultaneous determination of two binary antihypertensive combinations; either Nebivolol (NEB) with Hydrochlorothiazide (HCZ) or with Valsartan (VAL) in pharmaceutical formulation and spiked human plasma. The method was successfully applied to separate the three drugs on one chromatogram under the same chromatographic conditions that used for two binary combinations. The separation was established on Xterra C18 column using gradient mobile phase which composed of acidified water of pH = 3.0 (adjusted with 0.1% orthophosphoric acid) and acetonitrile with flow rate of 1.0 mL/min. The drugs …

Examining Benefits Of Early Intervention In Cases Of Pediatric Chronic Hypoxia, Kendra Stefan

University Honors Theses

There is a strong foundation of evidence and consensus in the literature that hypoxia has adverse impacts on brain function. Recent research has broadened the field in two directions. One is the treatment for acute hypoxic injuries, and the second is regarding the accumulative impact of intermittent or chronic hypoxia. Historically, in cases of acute hypoxia, action is taken to remedy the source of hypoxia. Physical and cognitive rehabilitation has typically been provided as needed depending on the severity of the injury. While cases of intermittent or chronic hypoxia may not demonstrate an acute urgency for treatment and rehabilitation, current …

Algorithmic Bias: Causes And Effects On Marginalized Communities, Katrina M. Baha

Undergraduate Honors Theses

Individuals from marginalized backgrounds face different healthcare outcomes due to algorithmic bias in the technological healthcare industry. Algorithmic biases, which are the biases that arise from the set of steps used to solve or analyze a problem, are evident when people from marginalized communities use healthcare technology. For example, many pulse oximeters, which are the medical devices used to measure oxygen saturation in the blood, are not able to accurately read people who have darker skin tones. Thus, people with darker skin tones are not able to receive proper health care due to their pulse oximetry data being inaccurate. This …

Development Of A Nurse Anesthesia Program Point-Of-Care Ultrasound Airway Examination Curriculum, Sarah Elyse Sandheinrich Butler, Colton Phillip Butler

Doctor of Nursing Practice Projects

Airway management is a critical and fundamental skill for anesthesia providers. Point-of-care ultrasound (POCUS) is an up-and-coming assessment technique that can provide critical information about a patient’s airway anatomy and may increase patient safety during anesthesia care. As a result, understanding the appropriate POCUS equipment, techniques, findings, and clinical implications for airway examination can become essential for safe and effective anesthesia practice. This project aimed to develop a clinical airway POCUS examination curriculum with detailed instructions on all aspects of appropriate examination equipment, set-up, technique, and implications for findings. The team designed the curriculum to incorporate it into the host …

Degree Of Uncertainty In Reporting Imaging Findings For Necrotizing Enterocolitis: A Secondary Analysis From A Pilot Randomized Diagnostic Trial, Disa Rathore, Kira Bourrett, Sherwin S. Chan, Erin Opfer, Alain Cuna

Research Days

Background: Uncertainty in reporting of imaging findings for necrotizing enterocolitis (NEC) can be challenging for clinicians and result in ambiguity, miscommunication, and potential diagnostic errors. The degree to which uncertainty complicates diagnostic imaging for NEC has not been characterized.

Objective: To determine the degree of uncertainty in diagnostic imaging for NEC.

Methods: We conducted a retrospective study using data from a previously completed pilot diagnostic randomized clinical trial (RCT). The study population comprised of preterm infants with suspected NEC who were randomized to either standard imaging with abdominal radiographs (AXR) alone or experimental imaging with AXR + add-on bowel ultrasound …

Implementation Of A Nurse-Led Clinical Algorithm For Pressure Injury Prevention Associated With Non-Invasive Ventilation Medical Device Use, Capri Steinkuhler, Kaitlin Rogge

Doctor of Nursing Practice Projects: College of Nursing

Purpose and Aims

Medical device related pressure injuries (PI) account for as much as 61-81% of all hospital reported wound incidents (Gefen et al., 2020) and are frequently caused by respiratory devices such as non-invasive ventilation (NIV). Use of NIV in critically ill patients dramatically increased during the pandemic. PI are one of the leading causes of injury to hospitalized patients and lengthens hospital stays (National Pressure Injury Advisory Panel [NPIAP], 2019). The NPIAP recommends routine skin assessment under devices, proper mask fit, protective barrier, moisture reduction, and interdisciplinary collaboration to prevent PIs from NIV masks. This feasibility study’s purpose …

Center Based Cardiac Rehabilitation Outcomes Associated With Covid-19 Pandemic: A Retrospective Comparative Cohort Study, Haley Williams, Kayla Woodworth

Doctor of Nursing Practice Projects: College of Nursing

Background: Traditional cardiac rehabilitation (CR) is a multidisciplinary, multifaceted program for cardiac patients. Throughout the Covid-19 pandemic, health care, including center-based CR (CBCR) programs, were closed to in-person sessions. Even with the return to CBCR participation, patient outcomes may have been affected by this disruption in care. The goal of this study was to determine if CR participation outcomes differed before and after CBCR program closure due to Covid-19.

Methods: A retrospective comparative cohort design was used to examine CR participant outcome data before and after the Covid-19 pandemic. Convenience sampling of CR participants at a large, urban …

Cardiovascular Disease Prediction Modelling: A Machine Learning Approach, Usmaan Al-Shehab, Maduka Gunasinghe, Yousuf Elkhoga, Nimay Patel, Juliana Yang

Rowan-Virtua Research Day

The objective of this project is to utilize the UCI Heart Disease dataset to identify physiological biomarkers that are highly correlated with heart disease incidence. A predictive model can then be developed using these biomarkers to estimate the likelihood of someone having or developing a heart-related condition. This study compares the efficacy of predicting cardiovascular disease as an outcome using three machine learning algorithms: Support Vector Machine, Gaussian Naive Bayes, and logistic regression. Support Vector Machine works by creating hyperplanes between data points to conduct classification. Gaussian Naive Bayes works by using the conditional probabilities of events to classify the …

Management And Considerations In The Usage Of Txa In Hemorrhagic Trauma Patients, Matthew Petterson, James Espinosa, Alan Lucerna

Rowan-Virtua Research Day

Tranexamic acid is a synthetic reversible competitive inhibitor that exerts its action on plasminogen, preventing plasmin formation and deterring fibrinolysis.1 Current FDA-approved indications of TXA include heavy menstrual bleeding and short-term blood loss prevention in patients with hemophilia following tooth extraction.1 TXA has more recently been utilized in the management of massive hemorrhagic trauma patients despite this being an off-label use. While TXA has shown promise as a hemostatic agent for this patient population, considerations in the pre-hospital and hospital settings must be examined for its integration into massive hemorrhage protocols.

A Proof Of Concept For Detection Of Palato-Lingual Contact Without Intraoral Electrodes In A Human Participant, Amitava Biswas

Master's Theses

The author of this thesis conceived and investigated an unexpected electrical signal that may not be noticed during regular electroglottography (EGG) when electrodes are conventionally placed on the anterior surface of the throat. It appears that there is a measurable electrical signal from the EGG equipment when electrodes are placed over the frontal cheek (belly of zygomatic muscle), and the tongue is elevated to contact the hard palate, or the tongue is lowered to break the contact. Therefore, this phenomenon is designated as unconventional electroglottography (UEGG, Dr. Steven Cloud, private communication, July 17, 2022).

Two distinctive patterns of waveforms were …

The Relationships Among Proprioception, Balance, And Cognitive Perception Of Body Awareness In College Students, Courtney Helmick

Honors College Theses

Introduction: Proprioception is an important physiological function that is essential for activities of daily living as well as exercise and sport performance. Integration of proprioceptive signals plays a key role in both static and dynamic balance. Previously, researchers have assessed the relationship between balance and proprioception, however, the effect of cognitive perception of body awareness has not previously been included in this research. The aim of this pilot study was to explore the relationships among lower extremity proprioception, dynamic balance, and cognitive perception of body awareness in college students.

Methods: Nineteen apparently healthy college students (age 21.26 ± 1.10 years, …

The Human Role In Artificial Intelligence, Christopher J. Smiley Dds

The Journal of the Michigan Dental Association

The success of AI requires human involvement to ensure that it is used safely and effectively. Transparency, collaboration, and standardization are necessary.

Comparison Of Covid-19 Diagnostic Testing Methodologies In The U.S., Joseph Blommel

All Dissertations

The onset of the COVID-19 pandemic brought about a world in which diagnostic testing for the virus that is responsible for COVID-19, SARS-CoV-2, became commonplace. Diagnostic testing was required for myriad reasons beyond simple diagnosis. We set out to compare SARS-CoV-2 testing methods, see if differences sensitivity correlated to increased positivity, and to evaluate self-collection methods.

In examining the Limit of Detection (LoD) of tests receiving FDA Emergency Use Authorization (EUA), our findings indicated that there were considerable differences in LoD. However, these differences in observed sensitivity were not correlated with the methodologic differences as reported in EUA documentation.

We …

Anti-Factor Xa Level Monitoring For Enoxaparin Prophylaxis And Treatment In High-Risk Patient Groups, Lucie Sikes, Kipson Charles, Abigail Antigua, Rima Patel, Selina Imboywa, Pheba Cherian

HCA Healthcare Journal of Medicine

Monitoring anti-factor Xa levels is a controversial topic in the inpatient setting due to resource utilization and unclear conditional guideline recommendations regarding this practice. Enoxaparin dosing in certain high-risk patient populations such as those with low body weight, obesity, renal insufficiency, and pregnancy has not been determined. The objective of this review was to assess the safety and efficacy of enoxaparin monitoring via anti-factor Xa levels in high-risk patient populations.

The PubMed database was searched for articles related to low-molecular-weight heparin monitoring. Randomized controlled trials and meta-analyses that evaluated the safety and efficacy of enoxaparin prophylaxis and treatment in patients …

Head And Neck Tumor Histopathological Image Representation With Pre- Trained Convolutional Neural Network And Vision Transformer, Ranny Rahaningrum Herdiantoputri, Daisuke Komura, Tohru Ikeda, Shumpei Ishikawa

Journal of Dentistry Indonesia

Image representation via machine learning is an approach to quantitatively represent histopathological images of head and neck tumors for future applications of artificial intelligence-assisted pathological diagnosis systems. Objective: This study compares image representations produced by a pre-trained convolutional neural network (VGG16) to those produced by a vision transformer (ViT-L/14) in terms of the classification performance of head and neck tumors. Methods: W hole-slide images of five oral t umor categories (n = 319 cases) were analyzed. Image patches were created from manually annotated regions at 4096, 2048, and 1024 pixels and rescaled to 256 pixels. Image representations were …

Patient And Provider Experience With Artificial Intelligence Screening Technology For Diabetic Retinopathy In A Rural Primary Care Setting, Brian M. Nolan, Emma R. Daybranch, Kerri Barton, Neil Korsen

Journal of Maine Medical Center

Introduction: The development of autonomous artificial intelligence for interpreting diabetic retinopathy (DR) images has allowed for point-of-care testing in the primary care setting. This study describes patient and provider experiences and perceptions of the artificial intelligence DR screening technology called EyeArt by EyeNuk during implementation of the tool at Western Maine Primary Care in Norway, Maine.

Methods: This non-randomized, single-center, prospective observational study surveyed 102 patients and 13 primary care providers on their experience of the new screening intervention.

Results: All surveyed providers agreed that the new screening tool would improve access and annual screening rates. Some providers also identified …