Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons^™

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 …

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.

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.

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 …

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 …

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 …

Treatment Of Gravitational Pulling Sensation In Patients With Mal De Debarquement Syndrome (Mdds): A Model-Based Approach, Sergei B. Yakushin, Theodore Raphan, Catherine Cho

Publications and Research

Perception of the spatial vertical is important for maintaining and stabilizing vertical posture during body motion. The velocity storage pathway of vestibulo-ocular reflex (VOR), which integrates vestibular, optokinetic, and proprioception in the vestibular nuclei vestibular-only (VO) neurons, has spatio-temporal properties that are defined by eigenvalues and eigenvectors of its system matrix. The yaw, pitch and roll eigenvectors are normally aligned with the spatial vertical and corresponding head axes. Misalignment of the roll eigenvector with the head axes was hypothesized to be an important contributor to the oscillating vertigo during MdDS. Based on this, a treatment protocol was developed using simultaneous …

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 …

Effectiveness And Safety Of Oral Anticoagulants Among Nonvalvular Atrial Fibrillation Patients With Active Cancer, Steve Deitelzweig, Allison V. Keshishian, Yan Zhang, Amiee Kang, Amol D. Dhamane, Xuemei Luo, Christian Klem, Mauricio Ferri, Jenny Jiang, Huseyin Yuce, Gregory Y.H. Lip

Publications and Research

BACKGROUND Patients with cancer are more likely to develop nonvalvular atrial fibrillation (NVAF). Currently there are no definitive clinical trials or treatment guidelines for NVAF patients with concurrent cancer.

OBJECTIVES This subgroup analysis of the ARISTOPHANES study compared the risk of stroke/systemic embolism (stroke/SE) and major bleeding (MB) among NVAF patients with active cancer who were prescribed non–vitamin K antagonist oral anticoagulants (NOACs) or warfarin.

METHODS A retrospective observational study was conducted in NVAF patients with active cancer who newly initiated apixaban, dabigatran, rivaroxaban, or warfarin from January 1, 2013, through September 30, 2015, with the use of Medicare and …

Detection Methods And Clinical Applications Of Circulating Tumor Cells In Breast Cancer, Hongyi Zhang, Xiaoyan Lin, Yuan Huang, Minghong Wang, Chunmei Cen, Shasha Tang, Marcia R. Dique, Lu Cai, Manuel A. Luis, Jillian Smollar, Yuan Wan, Fengfeng Cai

Publications and Research

Circulating Tumor Cells (CTCs) are cancer cells that split away from the primary tumor and appear in the circulatory system as singular units or clusters, which was first reported by Dr. Thomas Ashworth in 1869. CTCs migrate and implantation occurs at a new site, in a process commonly known as tumor metastasis. In the case of breast cancer, the tumor cells often migrate into locations such as the lungs, brain, and bones, even during the early stages, and this is a notable characteristic of breast cancer. Survival rates have increased significantly over the past few decades because of progress made …

Deep Learning Predicts Chromosomal Instability From Histopathology Images, Zhuoran Xu, Akanksha Verma, Uska Naveed, Samuel F. Bakhoum, Pegah Khosravi, Olivier Elemento

Publications and Research

Chromosomal instability (CIN) is a hallmark of human cancer yet not readily testable for patients with cancer in routine clinical setting. In this study, we sought to explore whether CIN status can be predicted using ubiquitously available hematoxylin and eosin histology through a deep learning-based model. When applied to a cohort of 1,010 patients with breast cancer (Training set: n = 858, Test set: n = 152) from The Cancer Genome Atlas where 485 patients have high CIN status, our model accurately classified CIN status, achieving an area under the curve of 0.822 with 81.2% sensitivity and 68.7% specificity in …

Protocol For Safe, Affordable, And Reproducible 1 Isolation And Quantitation 2 Of Sars-Cov-2 Rna From Wastewater, Monica Trujillo, Kristen Cheung, Anna Gao, Irene Hoxie, Sherin Kannoly, Nanami Kubota, Kaung Myat San, Davida S. Smyth, John J. Dennehy

Publications and Research

The following protocol describes our workflow for processing wastewater with the goal of detecting the genetic signal of SARS-CoV-2. The steps include pasteurization, virus concentration, RNA extraction, and quantification by RT-qPCR. We include auxiliary steps that provide new users with tools and strategies that will help troubleshoot key steps in the process. This protocol is one of the safest, cheapest, and most reproducible approaches for the detection of SARS-CoV-2 RNA in wastewater. Furthermore, the RNA obtained using this protocol, minus the pasteurization step, can be sequenced both using a targeted approach sequencing specific regions or the whole genome. The protocol …

Feasibility Of Continuous Fever Monitoring Using Wearable Devices, Benjamin L. Smarr, Kirstin Aschbacher, Sarah M. Fisher, Anoushka Chowdhary, Stephan Dilchert, Karena Puldon, Adam Rao, Frederick M. Hecht, Ashley E. Mason

Publications and Research

Elevated core temperature constitutes an important biomarker for COVID-19 infection; however, no standards currently exist to monitor fever using wearable peripheral temperature sensors. Evidence that sensors could be used to develop fever monitoring capabilities would enable large-scale health-monitoring research and provide high-temporal resolution data on fever responses across heterogeneous populations. We launched the TemPredict study in March of 2020 to capture continuous physiological data, including peripheral temperature, from a commercially available wearable device during the novel coronavirus pandemic. We coupled these data with symptom reports and COVID-19 diagnosis data. Here we report findings from the first 50 subjects who reported …

Resistance Exercise Intensity Does Not Influence Neurotrophic Factors Response In Equated Volume Schemes, Leandro Lodo, Alexandre Moreira, Reury Frank P Bacurau, Carol D. Capitani, Wesley P. Barbosa, Marcelo Massa, Brad J. Schoenfeld, Marcelo S. Aoki

Publications and Research

The aim of the present study was to evaluate the effects of 2 different intensities of resistance training (RT) bouts, performed with the equated total load lifted (TLL), on the acute responses of neurotrophic factors (NFs) (brain-derived neurotrophic factor [BDNF]; and nerve growth factor [NGF]), as well as on metabolic (lactate concentration) and hormonal (salivary cortisol concentration) responses. Thirty participants (males, 22.8 ± 2.3 years old, 177 ± 6.8 cm, 75.5 ± 7.9 kg, n = 15; and females, 22.2 ± 1.7 years, 163.7 ± 6.5 cm, 57 ± 7.6 kg, n = 15) performed 2 separate acute RT bouts …

Mapping Gadolinium Contrast In A Complex Ionic And Photosynthesis Environment Of Pineapple By Near-Infrared And X-Ray Imaging, Subhendra Sarkar, Zoya Vinokur, Chen Xu, Tetiana Soloviova, Amina Shahbaz, Aldona Gjoni

Publications and Research

This work explores the diffusivity of a lanthanide complex, Eovist (Gadolinium-Ethoxy Benzyl Diethylenetriamine pentaacetate) that is stable in neutral media but is not in acidic environment. In the current work an acidic fruit model like pineapple that is rich in transition metals was used and a possible transmetallation reaction among Eovist and transition metal complexes was tested using X-ray imaging. Another goal of this work was to perturb the usual and the unusual photosynthesis systems that pineapple has maintained for millions of years during the evolution of circadian genes for efficient water conservation by dark photosynthesis. To detect such photosynthesis …

Pre-Stretching Of The Hamstrings Before Squatting Acutely Increases Biceps Femoris Thickness Without Impairing Exercise Performance, Thiago Barbosa Trindade, Leônidas Oliveira Neto, José Claudino Neto Pita, Vagner Deuel De Oliveira Tavares, Paulo Moreira Silva Dantas, Brad J. Schoenfeld, Jonato Prestes

Publications and Research

Background: Bilateral squat exercise is widely used in resistance training (RT) programs to increase lower limb strength and muscle mass, but this exercise does not result in significant hypertrophy of the hamstrings. It has been speculated that stretching between sets with a certain degree of tension results in muscle hypertrophy, while acute stretching could decrease performance during maximal contractions.

Objective: This study investigated the acute effects of hamstring stretching before bilateral squatting on muscle thickness (MT), electromyography (EMG), and total training volume (TTV) on exercise performance.

Methods: Fourteen resistance-trained young men, with ∼7.5 years of RT experience, performed the 10 …

Artificial Intelligence: A New Paradigm In Obstetrics And Gynecology Research And Clinical Practice, Pulwasha Iftikhar, Marcela V. Kuijpers, Azadeh Khayyat, Aqsa Iftikhar, Maribel Degouvia De Sa

Publications and Research

Artificial intelligence (AI) is growing exponentially in various fields, including medicine. This paper reviews the pertinent aspects of AI in obstetrics and gynecology (OB/GYN) and how these can be applied to improve patient outcomes and reduce the healthcare costs and workload for clinicians.

Herein, we will address current AI uses in OB/GYN, and the use of AI as a tool to interpret fetal heart rate (FHR) and cardiotocography (CTG) to aid in the detection of preterm labor, pregnancy complications, and review discrepancies in its interpretation between clinicians to reduce maternal and infant morbidity and mortality. AI systems can be used …

Mean Propulsive Velocity Is A Viable Method For Adjusting The Resistance-Training Load At Moderate Altitude, Lara Rodríguez-Zamora, Paulino Padial, Brad Jon Schoenfeld, Belén Feriche

Publications and Research

We examined the viability of using mean propulsive velocity (MPV) to adjust the load in the countermovement jump (CMJ) at moderate altitude. Twenty-four volunteers were assigned to a 4-week power-oriented resistance training (R_T) program in either normoxia (N, 690m) or intermittent hypobaric hypoxia (IH, 2,320m). The load was adjusted to maintain execution velocity of CMJ at 1m·s⁻¹ of MPV. Relative peak power output (P_rel), and percentage of velocity loss throughout the sets (VL) were determined for each session. The internal load was measured by the rating of perceived exertion (RPE). The absolute load lifted was …

Readability Of Online-Patient Based Information On Bariatric Surgery, Zoë Meleo-Erwin, Corey Basch, Joseph Fera, Danna Ethan, Philip Garcia

Publications and Research

Background: Web-based patient education literature has been shown to be written at reading levels far above what is recommended. Little is known about the overall readability of current internet-based bariatric surgery information. The purpose of this study was to assess the readability of current bariatric material on the internet.

Methods: The term “weight loss surgery” was searched using the Chrome browser on the first 15 pages of URLs that appeared with content written in English. Using five readability measures, scores were generated using Readable.io for written content on a sample of 96 websites. Scores were sorted into the readability categories …

Case Presentation On Congestive Heart Failure And Pulmonary Edema, Tetiana Soloviova, Denise Aris

Publications and Research

No abstract provided.