Diagnosis Commons^™

Positron Emission Tomography In Oncology And Environmental Science, Samantha Delaney

Dissertations, Theses, and Capstone Projects

The last half century has played witness to the onset of molecular imaging for the clinical assessment of physiological targets. While several medical imaging modalities allow for the visualization of the functional and anatomical properties of humans and living systems, few offer accurate quantitation and the ability to detect biochemical processes with low-administered drug mass doses. This limits how physicians and scientists may diagnose and treat medical issues, such as cancer, disease, and foreign agents.

A promising alternative to extant invasive procedures and suboptimal imaging modalities to assess the nature of a biological environment is the use of positron emission …

Standard Deviations Of Mr Signal Intensities Show A Consistent Trend During Imaging Follow-Ups For Glioblastoma Patients When Corrected For Non-Biological Heterogeneity Due To Hardware And Software Variation, Subhendra N. Sarkar, Rafael Rojas, Evans Lespinasse, Xiangfu Zhang, Ruth Zeron

Publications and Research

Introduction

Glioblastoma multiforme (GBM) has a poor prognosis in spite of advanced MRI guided treatments today. Routine MRI using conventional T₁ or advanced permeability based MRI of GBM often does not adequately represent changing tumor phases or overall survival. In this work, region of interest (ROI) based tissue MR standard deviation (SD) is demonstrated as an important MRI variable that could be a potential biomarker of GBM heterogeneity and radioresistance.

Materials and methods

MRI characterization is often qualitative and lacks reproducibility. Using standardized MRI phantoms we have normalized retrospective records of 12 radioresistant GBM patients that underwent radiation therapy …

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 …

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 …

Toward A Multimodal Computer-Aided Diagnostic Tool For Alzheimer’S Disease Conversion, Danilo Pena, Jessika Suescun, Mya Schiess, Timothy M. Ellmore, Luca Giancardo, Alzheimer’S Disease Neuroimaging Initiative

Publications and Research

Alzheimer’s disease (AD) is a progressive neurodegenerative disorder. It is one of the leading sources of morbidity and mortality in the aging population AD cardinal symptoms include memory and executive function impairment that profoundly alters a patient’s ability to perform activities of daily living. People with mild cognitive impairment (MCI) exhibit many of the early clinical symptoms of patients with AD and have a high chance of converting to AD in their lifetime. Diagnostic criteria rely on clinical assessment and brain magnetic resonance imaging (MRI). Many groups are working to help automate this process to improve the clinical workflow. Current …

Identification Of Adhd And Comorbid Disorders In Children: The Potential Role Of Minority Group Membership, Rachel H. Tayler

Dissertations and Theses

Identification of ADHD and Comorbid Disorders in Children: The potential role of minority group membership

by

Rachel Tayler, MSc, MA

Advisor: Sarah O’Neill, PhD

Attention-Deficit/Hyperactivity Disorder (ADHD) affects six million US children. Females, Latinx, and possibly Black children have lower rates of diagnosis than their Male and White non-Latinx peers. ADHD is behaviorally defined, and as such, clinicians' perceptions of symptoms and determination of diagnoses may be influenced by demographic factors such as race, ethnicity and sex.

This vignette study examined whether clinicians' implicit ethnic, racial, and sex biases affect diagnosis of ADHD and comorbid conditions. Psychiatry trainees and pediatricians …

Machine Learning Classification Of Traumatic Brain Injury Patients Versus Healthy Controls Using Arterial Spin Labeled Perfusion Mri, Vanessa I. Grass

Dissertations, Theses, and Capstone Projects

Traumatic brain injury (TBI) is one of the most common causes of death and disability worldwide, yet accurate in vivo detection of TBI neuropathology remains challenging due to complexities in the structural and functional changes observed post-injury as well as limitations in conventional neuroimaging modalities. Although advanced neuroimaging techniques such as arterial spin labeling (ASL) can noninvasively assess cerebral blood flow (CBF) changes observed post-injury, this technique is underutilized in TBI research partly due to the low signal-to-noise-ratio (SNR) inherent in ASL imaging. The aim of the current study is to examine the use of machine learning, specifically a Support …

Female Autistic Perspectives: Limits In Diagnosis And Understanding, Alexandra Helmers

Dissertations, Theses, and Capstone Projects

The diagnosis of autism spectrum disorder has increased dramatically within the last two decades, with males being diagnosed, on average, four to five times more than females. Although researchers in the medical community have searched for a biological explanation for this discrepancy, no definitive cause has been found. I argue that our understanding of autism is primarily a social and cultural construction, in addition to a diagnosable medical disorder. The gender disparity in diagnosis reflects cultural narratives surrounding social interaction and the widespread belief in two distinct gender roles. Furthermore, narratives surrounding the topic of autism tend to unintentionally highlight …

Development Of 90th Percentile Norms For Ipsilateral Acoustic Reflex Thresholds: A Feasibility Study, Iris Wertheimer

Dissertations, Theses, and Capstone Projects

The acoustic reflex threshold has been well established in the literature as an involuntary bilateral contraction of the stapedius muscle in response to loud transient sounds. Additionally, the clinical utility of the acoustic reflex threshold has been established as it allows for the differential diagnosis of many different conductive, cochlear and retrocochlear pathologies. Gelfand, Schwander and Silman (1990) have established and validated 90^th percentile normative data for use with the contralateral acoustic reflex threshold. Much of the literature on the acoustic reflex threshold has focused on the contralateral acoustic reflex threshold; however, surveys have found that many clinicians are …

A Systematic Review Of Dual-Sensory Impairment In Older Adults, Abby F. Malawer

Dissertations, Theses, and Capstone Projects

The elderly population (ages 65 years and older) in the United States is estimated to double between 2000 and 2030 to approximately 72 million people. Among this population, sensory impairment is a chronic disability. The combination of both hearing and vision impairment, referred to as dual-sensory impairment (DSI) is a chronic condition on the rise. The prevalence of DSI ranges from a low of 1.6% to as high as 22.5% depending on the population (Appollonio et al., 1995). Higher prevalence rates tend to emerge in populations receiving rehabilitative and hospital care. DSI impacts independent physical function and verbal communication, along …