Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons^™

Bridging Data Gaps In Retinal Imaging: From Structural Domain Adaptation To Topology-Aware Synthesis, Gözde Merve Demirci

Dissertations, Theses, and Capstone Projects

Comprehensive visualization of the retina is essential for diagnosing and monitoring blinding diseases such as Diabetic Retinopathy and Retinopathy of Prematurity (ROP), where pathological changes often extend beyond a single field of view. Despite significant advances in automated retinal image analysis, clinical deployment remains limited by two fundamental data gaps: a structural learning gap, arising from scarce expert annotations and poor generalization across imaging domains, and a spatial coverage gap, caused by the difficulty of acquiring multi-view retinal images in fragile populations. Although these challenges are often addressed independently, this dissertation argues that they are tightly coupled: accurate, …

First Mammography Screening Participation And Breast Cancer Incidence And Mortality, Forruk Ahmed, Anna Aleksyeyeva, Oman Balan, Ashley Hassang

Publications and Research

This population-based cohort study evaluated the long-term relationship between initial participation in mammography screening and subsequent breast cancer outcomes among approximately 432,000 women in Stockholm, Sweden. Women were invited to their first screening between 1991 and 2020 at ages 40 or 50 and followed for up to 25 years through national health registries. Overall, 32% did not attend their initial screening. Non-attenders were significantly less likely to participate in later screening rounds and were more likely to be diagnosed with advanced disease, showing 1.5-fold higher odds of stage III and more than 3.5-fold higher odds of stage IV breast cancer …

Towards The Performance Characterization Of A Robotic Multimodal Diagnostic Imaging System, George Papaioannou, Christos Mitrogiannis, Mark Schweitzer, Nikolaos Michailidis, Maria Pappa, Pegah Khosravi, Apostolos Karantanas, Sean Starling, Christian Ruberg

Publications and Research

Characterizing imaging performance requires a multidisciplinary approach that evaluates various interconnected parameters, including dosage optimization and dynamic accuracy. Radiation dose and dynamic accuracy are challenged by patient motion that results in poor image quality. These challenges are more prevalent in the brain/cardiac pediatric patient imaging, as they relate to excess radiation dose that may be associated with various complications. Scanning vulnerable pediatric patients ought to eliminate anesthesia due to critical risks associated in some cases with intracranial hemorrhages, brain strokes, and congenital heart disease. Some pediatric imaging, however, requires prolonged scanning under anesthesia. It can often be a laborious, suboptimal …

Autoradai: A Versatile Artificial Intelligence Framework Validated For Detecting Extracapsular Extension In Prostate Cancer, Pegah Khosravi, Shady Saikali, Abolfazl Alipour, Saber Mohammadi, Maxwell Boger, Dalanda M. Diallo, Christopher J. Smith, Marcio C. Moschovas, Iman Hajirasouliha, Andrew J. Hung, Srirama S. Venkataraman, Vipul Patel

Publications and Research

Preoperative identification of extracapsular extension (ECE) in prostate cancer (PCa) is crucial for effective treatment planning, as ECE presence significantly increases the risk of positive surgical margins and early biochemical recurrence following radical prostatectomy. AutoRadAI, an innovative artificial intelligence (AI) framework, was developed to address this clinical challenge while demonstrating broader potential for diverse medical imaging applications. The framework integrates T2-weighted MRI data with histopathology annotations, leveraging a dual convolutional neural network (multi-CNN) architecture. AutoRadAI comprises two key components: ProSliceFinder, which isolates prostate-relevant MRI slices, and ExCapNet, which evaluates ECE likelihood at the patient level. The system was trained and …

Explorations Of Dna-Single-Walled Carbon Nanotube Interactions To Develop Multiplexed Molecularly Specific Biosensors For Inflammation, Amelia K. Ryan

Dissertations and Theses

Inflammatory cytokines such as interleukin-6 (IL-6) and interleukin-12 (IL-12) are central regulators of immune signaling and key biomarkers of disease, yet existing assays for their detection remain slow, invasive, and lack multiplexing ability. This dissertation advances the development of single-walled carbon nanotube (SWCNT) optical nanosensors capable of real-time, multiplexed, and molecularly specific cytokine detection through innovative use of single-stranded DNA (ssDNA) interfaces.

First, an IL-6-specific DNA aptamer was employed as both a dispersing agent and recognition probe for SWCNT fluorescence sensing. Sequence modifications, including anchor domains, truncations, and thermally induced refolding, were systematically tested to optimize sensitivity and selectivity. The …

Essential Caretaking For Artists With Disabilities: Exploring The Overlooked Histories Of Hazel Knapp And Grandma Moses, Bryan P. Martin

Dissertations and Theses

This thesis explores the intersection of disability studies and art history, addressing the underrepresentation of disability in scholarship, especially concerning medical sociology and caretaking. Focusing on two early-twentieth-century self-taught American artists, Hazel Knapp (1908–95), who fell into obscurity, and Anna Mary Robertson Moses (1860–1961), best known as Grandma Moses, this is a comparative analysis of how disability influenced their artistic practices and shaped their divergent career outcomes. Knapp was born with Charcot-Marie-Tooth disease, a neurodegenerative disorder, and fell into obscurity due to a lack of support for her condition, but experienced a promising start to her career that included patronage …

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 …

Nanoparticles For Applications In Specific Diagnostics And Precision Medicine, Naxhije Berisha

Dissertations, Theses, and Capstone Projects

Heterogeneity is common in the expression of cancer and treatment response. Precision medicine enables healthcare providers to tailor medical care to an individual's distinct genetic and environmental makeup. This customization has the potential to result in more efficient treatments while minimizing side effects. We believe that by studying the interface of nanotechnology and cancer medicine we can elucidate innovative solutions that address the challenges of disease heterogeneity. This includes advancements in drug delivery, formulations development, and diagnostic sensing. We highlight three studies that use nanotechnology for applications in precision medicine. In Chapter 2, we highlight design optimization of drug formulations …

A Desirable Advancement But Not Without Concern For Black Blood Sequences: Vessel Wall Imaging May Not Be Blindly Done, Subhendra N. Sarkar

Publications and Research

Time of flight (TOF) gradient echo magnetic resonance angiography (MRA) is a bright lumen method that is supposed to be simpler but is not free of challenges. Post-treatment, tricky geometry, Gd build up and high fields pose challenges and practice variation making some special applications of even the well-developed bright blood method questionable in treated AVMs as discussed in a prior editorial (Sarkar Eur Rad, 2023). In this editorial another, perhaps more important (pseudo-steady state for black blood angiography) is discussed. It has been agreed upon that assessment of vessel wall integrity, particularly plaques and other arterial wall diseases is …

Ai-Enhanced Detection Of Clinically Relevant Structural And Functional Anomalies In Mri: Traversing The Landscape Of Conventional To Explainable Approaches, Pegah Khosravi, Saber Mohammadi, Fatemeh Zahiri, Masoud Khodarahmi, Javad Zahiri

Publications and Research

Anomaly detection in medical imaging, particularly within the realm of magnetic resonance imaging (MRI), stands as a vital area of research with far-reaching implications across various medical fields. This review meticulously examines the integration of artificial intelligence (AI) in anomaly detection for MR images, spotlighting its transformative impact on medical diagnostics. We delve into the forefront of AI applications in MRI, exploring advanced machine learning (ML) and deep learning (DL) methodologies that are pivotal in enhancing the precision of diagnostic processes. The review provides a detailed analysis of preprocessing, feature extraction, classification, and segmentation techniques, alongside a comprehensive evaluation of …

Ai-Enhanced Detection Of Clinically Relevant Structural And Functional Anomalies In Mri: Traversing The Landscape Of Conventional To Explainable Approaches, Pegah Khosravi, Saber Mohammadi, Fatemeh Zahiri, Masoud Khodarahmi, Javad Zahiri

Publications and Research

Anomaly detection in medical imaging, particularly within the realm of magnetic resonance imaging (MRI), stands as a vital area of research with far-reaching implications across various medical fields. This review meticulously examines the integration of artificial intelligence (AI) in anomaly detection for MR images, spotlighting its transformative impact on medical diagnostics. We delve into the forefront of AI applications in MRI, exploring advanced machine learning (ML) and deep learning (DL) methodologies that are pivotal in enhancing the precision of diagnostic processes. The review provides a detailed analysis of preprocessing, feature extraction, classification, and segmentation techniques, alongside a comprehensive evaluation of …

Compton Scattering Of Mammographic Soft X-Ray Beams By Alkali And Transition Metal Salt Filters Produce X-Ray Interference Zones That May Have Treatment Potential For Localized Cancer Lesions, Subhendra N. Sarkar, Eric Lobel, Sabina Rakhmatova, Derbie Desir, Somdat Kissoon, Daler Djuraev, Katie Tam

Publications and Research

In breast x-ray imaging scattered radiation adds 50% of harmful radiation dose from anisotropic Compton scattering mechanism. We have been working with double layered inorganic salt materials that can induce Compton scattering to the incident mammographic x ray beams (in 20-30 kVp range) with adequate isotropy (angular control). Typically metal nitrates and alkali halide salt layers are shown here to cause low energy radiation interference zones with high and low photon intensities and local flux heterogeneity in terms of flux covariance. Spatial variation of low energy photon flux creates concentrated and sparse radiation zones that may be used to induce …

Secondary Electrons And Compton X-Ray Generation In Solid And Heated Biological Sample In The Presence Of Radiologic Contrast Media, Vanessa Robinson, Daler Djuraev, Fatima Ahmed

Publications and Research

Our goal is identification of secondary electrons and Compton photons when externally infused radiological contrast from iodine and gadolinium interferes with calcium and iron in tissues. This could help develop next generation of x-ray methods as well as mechanistic understanding of toxic effects of radiology contrast materials on living tissue and agriculture. Changes in tissue minerals over time, aging and heat stress are manipulated in our experiments by infusing imaging contrast agents that consist of large atoms like Gadolinium and Iodine. These have chelation properties to alter electron distribution of proteins and carbohydrates of biological matrix. Our experiments try to …

Editorial For "Automated Breast Density Assessment In Mri Using Deep Learning And Radiomics: Strategies For Reducing Inter-Observer Variability"., Pegah Khosravi

Publications and Research

No abstract provided.

Demarcating Psychopathologies: Nosology, Validity, And The Taxonomic Problem In Psychiatric Medicine, Julia Zentz Kolak

Dissertations, Theses, and Capstone Projects

In this dissertation, I argue that the discussion surrounding the role of values in the conceptualization of mental disorders is reproduced in critical debates surrounding the issue of reliability and validity in a psychiatric nosology. In so doing, I oppose the conventional separation of the demarcation problem and the crisis of validity in psychiatric classification, arguing instead that they are inextricably linked. After drawing out the intersection between these literatures in the conceptual history of the DSM and its much-maligned transition to an etiologically neutral taxonomy of mental disorders, I consider Carl Hempel’s proposed conciliation between descriptive and theoretical systematization …

Multi-Target Ligand-Guided Selection (Ligs) Against B-Cell Specific Antigens Expressed In A Single Lymphoma Cell Population, Nicole B. Williams

Dissertations, Theses, and Capstone Projects

Nucleic acid ligands called aptamers are single-stranded DNA or RNA molecules which fold into functional three-dimensional structures to facilitate their target binding with high affinity and specificity. The method used to generate aptamers is an in vitro process called Systematic Evolution of Ligands by Exponential enrichment (SELEX). A variant of SELEX, cell-SELEX has been used to select aptamers against cell-surface proteins in their native state. We recently introduced a novel method called Ligand-Guided Selection (LIGS) to identify aptamers against cell-surface markers. Herein, we expanded LIGS method into a multiplexing platform to partition multiple aptamers against B-cell-specific antigens, CD19 and CD20, …

Artificial Intelligence In Neuroradiology: A Scoping Review Of Some Ethical Challenges, Pegah Khosravi, Mark Schweitzer

Publications and Research

Artificial intelligence (AI) has great potential to increase accuracy and efficiency in many aspects of neuroradiology. It provides substantial opportunities for insights into brain pathophysiology, developing models to determine treatment decisions, and improving current prognostication as well as diagnostic algorithms. Concurrently, the autonomous use of AI models introduces ethical challenges regarding the scope of informed consent, risks associated with data privacy and protection, potential database biases, as well as responsibility and liability that might potentially arise. In this manuscript, we will first provide a brief overview of AI methods used in neuroradiology and segue into key methodological and ethical challenges. …

Classification Of Normal Versus Pneumonia From Chest X-Ray Using And Ai Model, Tassadit Lounes

Publications and Research

Hypothesis: Deep learning (DL) algorithms, in particular convolutional neural networks (CNNs), have recently been used to address a number of medical-imaging problems, such as pneumonia detection using chest X-ray, and determining the aggressiveness prostate cancer using magnetic resonance images (MRI). They have become the technique of choice in computer vision and they are the most successful type of model for image analysis.

Leveraging Bio-Inspired Molecules For Cancer Theranostics, Douglas S. Macpherson

Dissertations, Theses, and Capstone Projects

A variety of molecules can be radiolabeled and delivered to a cancer site for the purposes of diagnostics and therapy. Among the most promising of tumor targeting molecules are peptides and antibodies. These bio-inspired molecules can be designed and synthesized to target and respond to cancer cells based on the properties of those cells. Matrix metalloproteinase (MMP) enzymes are over-expressed by some metastatic cancers, in which they are responsible for the degradation and remodeling of the extracellular matrix. In recent years, MMPs have emerged as promising targets for enzyme-responsive diagnostic probes because oligopeptides can be designed to be selectively hydrolyzed …

Second Generation Phenyloxadiazolyl Methyl Sulfones For Thiol-Specific Bioconjugations, Guillaume Dewaele-Le Roi

Dissertations, Theses, and Capstone Projects

The role of antibody-based molecular agents for diagnosis and therapy of cancer has expanded significantly over the past decades. However, most of these constructs are synthesized using traditional bioconjugation methods based on the random ligations between the molecular cargo and lysine residues within the protein. These non-specific approaches can create poorly defined conjugates with suboptimal immunoreactivity and in vivo performance while Site-specific approaches to antibody bioconjugation based on ligations between maleimides and free cysteine residues have long stood as attractive alternatives. Yet the inherent instability of the thiol-maleimide linkage has fueled the search for new, more stable thiol-reactive prosthetic groups. …

Synthesis And Biomedical Applications Of Hollow Iron Oxide Nanoparticles, Aloka S. Paragoda Arachchilage

Dissertations, Theses, and Capstone Projects

Nano-scale materials have gained much attention during the past few decades due to the stark differences in their properties compared to bulk material. Thus, they are being studied for a myriad of applications ranging from harnessing solar energy to diagnostics. This thesis focuses on the synthesis of hollow iron oxide nanoparticles using Galvanic replacement reactions and their application in drug delivery. Moreover, the use of a peptide precursor for the enhancement of exosomes is also discussed.

Chapter 1 discusses a simple and economical Galvanic approach used for the synthesis of hollow one-dimensional iron oxide nanotubes. In the initial reaction, the …

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 …

Soft X-Ray And Susceptibility Based Magnetic Resonance Imaging To Map Iron Distribution In Apples: Initial Results To Model Iron Storage In Water-Deficient Or Dehydrated Biological Tissue, Subhendra N. Sarkar, Eric Lobel, Evans Lespinasse, Zoya Vinokur, Analia Basilicata, Sonia Orellana, Maria Orellana, Aaliyah Salmon, Joanna Syska, Aravis Mcbroom, Jian Wang, Anam Riaz, Jodi-Ann Douglas

Publications and Research

Radiology departments have contributed significantly to greenhouse gases including release of toxic imaging contrast media to environment. We feel Radiology also has several spectroscopy and imaging tools that may apply to monitor and support cleaner environmental goals. The current manuscript is one of the firsts to prompt Radiology to move in that direction by non invasive imaging of bio metals that are less abundant in biological tissues but play key roles as co-factors in tissue structure and function. Conventional analytical tools are mostly invasive and cannot characterize the native oxidation states of bio metals. We chose carbohydrate matrix of metal-rich …

Use Of Bioheat Modeling To Characterize And Optimize Implantable Medical Devices And Neuromodulation Technologies, Adantchede Louis Zannou

Dissertations and Theses

Medical device development includes prototyping, benchtop characterization, preclinical studies, and clinical trials. Understanding the limitations and potential adverse effects of medical devices prior to their administration in humans is a crucial first step. Optimizing medical devices is essential to employing technology and improving patients care. Computational modeling is widely adopted as a powerful tool to predict stimulation/recording parameter optimization, rapid electrode/device prototyping, investigating novel mechanism of action, and testing working principles of any medical devices. Many implantable neuromodulation technologies including Spinal Cord Stimulation (SCS), which provide substantial therapeutic benefit for patient population with lower back pain, produces heat via the …

Designing Of X-Ray Beams To Assess Mineral Loss In Dehydrated Fruits – Radiology Readiness During Climate Change, Angela Moore, Katie Tam

Publications and Research

Key minerals such as iron, manganese and copper are necessary for optimal health and vitality of human beings. These minerals are within the biomolecules of food, particularly in fruits and are not detectable without destroying their natural biochemical roles. A compilation was done on average mineral compositions for multiple apple varieties from USDA and academic horticulture research labs to design the x-ray beams in the low energy ranges in our mammography system that provide “soft” x-rays for imaging light-weight atoms. In this project homemade external filters like Aluminum sheets, Iodine and Gadolinium contrast media were developed to modify low energy …

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 …

The Detection Of Clozapine In Oral Fluid Via A Kinetic Interaction Of Microparticles In Solution (Kims) Assay, Elizabeth Gunning

Student Theses

In recent years, the use of antipsychotic medications has rapidly increased. Most of these medications have a high risk potential. Due to this risk potential, patients who are prescribed these medications have to be monitored. Therapeutic drug monitoring (TDM) has become extremely important in the clinical environment. Physicians rely on TDM to make sure patients are adhering to their prescription and to make decisions about whether the medication is working. Clozapine is a very popular antipsychotic used in the treatment of schizophrenia. The current method for TDM for clozapine is a blood test. This causes challenges for physicians, who need …

Development Of Optical Nanomaterial For Enhanced Cerenkov Imaging, Qize Zhang

Dissertations, Theses, and Capstone Projects

Cancer is a significant public health problem worldwide and is the second leading cause of death in the United States. Imaging has increasingly been used over the last two decades to improve the diagnosis and guidance of tumor tissue removal surgery. Among the most widely used techniques for in vivo imaging are planar and tomographic fluorescence imaging and bioluminescence imaging. Despite their utility, these techniques are primarily restricted to preclinical use. Factors that have prevented translation from the bench to the bedside include depth-penetration considerations, regulatory issues, and toxicity. A recent development in nuclear imaging has been the ability to …

Imaging Of Transmetallation And Chelation Phenomena Involving Radiological Contrast Agents In Mineral-Rich Fruits, Subhendra Sarkar, Zoya Vinokur, Bleidis Buitrago, Lin Mousa, Hayley Sanchez, Analia Basilicata, Jodi-Ann Douglas, Seanetta Reddock

Publications and Research

Exogenous heavy metals or non-metallic waste products, for example lanthanide or iodinated contrast media for radiological procedures, may interfere with the biochemical pools in patients and in common food sources, creating an excess buildup of exogenous compounds which may reach toxic levels. Although the mechanisms are unknown, our experiments were designed to test if this toxicity can be attributed to “transmetallation” or “chelation” reactions freeing up lanthanides or chelated transition metals in acidic fruits used as phantoms representing the biologically active and mineral-rich carbohydrate matrix. The rapid breakdown of stable contrast agents have been reported at a lower pH. The …