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Articles 211 - 240 of 269
Full-Text Articles in Analytical, Diagnostic and Therapeutic Techniques and Equipment
Consensus Statement On Ethical & Safety Practices For Conducting Digital Monitoring Studies With People At Risk Of Suicide And Related Behaviors, Matthew K. Nock, Evan M. Kleiman, Melissa Abraham, Kate H. Bentley, David A. Brent, Ralph J. Buonopane, Franckie Castro-Ramirez, Christine B. Cha, Walter Dempsey, John Draper, Catherine R. Glenn, Jill Harkavy-Friedman, Michael R. Hollander, Jeffrey C. Huffman, Hye In S. Lee, Alexander J. Millner, David Mou, Jukka-Pekka Onnela, Rosalind W. Picard, Heather M. Quay, Osiris Rankin, Shannon Sewards, John Torous, Joan Wheelis, Ursula Whiteside, Galia Siegel, Anna E. Ordóñez, Jane L. Pearson
Consensus Statement On Ethical & Safety Practices For Conducting Digital Monitoring Studies With People At Risk Of Suicide And Related Behaviors, Matthew K. Nock, Evan M. Kleiman, Melissa Abraham, Kate H. Bentley, David A. Brent, Ralph J. Buonopane, Franckie Castro-Ramirez, Christine B. Cha, Walter Dempsey, John Draper, Catherine R. Glenn, Jill Harkavy-Friedman, Michael R. Hollander, Jeffrey C. Huffman, Hye In S. Lee, Alexander J. Millner, David Mou, Jukka-Pekka Onnela, Rosalind W. Picard, Heather M. Quay, Osiris Rankin, Shannon Sewards, John Torous, Joan Wheelis, Ursula Whiteside, Galia Siegel, Anna E. Ordóñez, Jane L. Pearson
Psychology Faculty Publications
OBJECTIVE: Digital monitoring technologies (e.g., smart-phones and wearable devices) provide unprecedented opportunities to study potentially harmful behaviors such as suicide, violence, and alcohol/substance use in real-time. The use of these new technologies has the potential to significantly advance the understanding, prediction, and prevention of these behaviors. However, such technologies also introduce myriad ethical and safety concerns, such as deciding when and how to intervene if a participant's responses indicate elevated risk during the study?
METHODS: We used a modified Delphi process to develop a consensus among a diverse panel of experts on the ethical and safety practices for conducting digital …
In Silico Investigation Of Cardiac Arrhythmia Susceptibility In Long Qt Phenotype, Anthony Owusu-Mensah, Victoria Lam, Bright Tsevi, Michel Audette, Makarand Deo
In Silico Investigation Of Cardiac Arrhythmia Susceptibility In Long Qt Phenotype, Anthony Owusu-Mensah, Victoria Lam, Bright Tsevi, Michel Audette, Makarand Deo
Electrical & Computer Engineering Faculty Publications
Long QT Syndrome (LQTS) is associated with cardiac arrhythmia and sudden cardiac death. The Long QT Type 2 (LQT2) phenotype, which accounts for 35–40 % of all LQTS patients, is caused by mutations in HERG gene. The mechanisms of arrhythmia in presence of LQT2 conditions are not fully understood. We utilized anatomically and electrophysiologically realistic numerical simulations to elucidate the mechanisms of arrhythmia initiation in presence of blockade in rapid component of delayed rectifier potassium current, IKr. We utilized a 3D finite element model of rabbit ventricles integrated with His-purkinje network to simulate whole heart response to LQT2 …
Evaluation Of Spinal Anatomy Segmentation Methods Using Synthetic Computed Tomography Volumes, Austin Tapp, Michel Audette
Evaluation Of Spinal Anatomy Segmentation Methods Using Synthetic Computed Tomography Volumes, Austin Tapp, Michel Audette
Electrical & Computer Engineering Faculty Publications
Severe adolescent idiopathic scoliosis (AIS) is corrected by surgical procedures that necessitate ligament releases. To determine appropriate release allotments, soft tissues must be localized on a patient-specific basis, However, routine computer tomography (CT) imaging precludes traditional, voxel-based soft tissue localization. Fortunately, recent studies have proposed top-down segmentation methods, which elucidate soft tissues using pre-operative CT volumes. While the accuracy of vertebral segmentations obtained from these methods has not been determined, the accuracy of soft tissue segmentations has not. To ensure the soft tissue segmentation methods are clinically applicable, soft tissue validation must occur. This study presents an evaluation measure for …
Tri-Molybdenum Phosphide (Mo3P) And Multi-Walled Carbon Nanotube Junctions For Volatile Organic Compounds (Vocs) Detection, Baleeswaraiah Muchharla, Praveen Malali, Brenna Daniel, Alireza Kondori, Mohammad Asadi, Wei Cao, Hani E. Elsayed-Ali, Mickaël Castro, Mehran Elahi, Adetayo Adedeji, Kishor Kumar Sadasivuni, Muni Raj Mauya, Kapil Kumar, Abdennaceur Karoui, Bijandra Kumar
Tri-Molybdenum Phosphide (Mo3P) And Multi-Walled Carbon Nanotube Junctions For Volatile Organic Compounds (Vocs) Detection, Baleeswaraiah Muchharla, Praveen Malali, Brenna Daniel, Alireza Kondori, Mohammad Asadi, Wei Cao, Hani E. Elsayed-Ali, Mickaël Castro, Mehran Elahi, Adetayo Adedeji, Kishor Kumar Sadasivuni, Muni Raj Mauya, Kapil Kumar, Abdennaceur Karoui, Bijandra Kumar
Electrical & Computer Engineering Faculty Publications
Detection and analysis of volatile organic compounds’ (VOCs) biomarkers lead to improvement in healthcare diagnosis and other applications such as chemical threat detection and food quality control. Here, we report on tri-molybdenum phosphide (Mo3P) and multi- walled carbon nanotube (MWCNT) junction-based vapor quantum resistive sensors (vQRSs), which exhibit more than one order of magni- tude higher sensitivity and superior selectivity for biomarkers in comparison to pristine MWCNT junctions based vQRSs. Transmission electron microscope/scanning tunneling electron microscope with energy dispersive x-ray spectroscopy, x-ray diffraction, and x-ray photo- electron spectroscopy studies reveal the crystallinity and the presence of Mo and …
Adaptive Physics-Based Non-Rigid Registration For Immersive Image-Guided Neuronavigation Systems, Fotis Drakopoulos, Christos Tsolakis, Angelos Angelopoulos, Yixun Liu, Chengjun Yao, Kyriaki Rafailia Kavazidi, Nikolaos Foroglou, Andrey Fedorov, Sarah Frisken, Ron Kikinis, Alexandra Golby, Nikos Chrisochoides
Adaptive Physics-Based Non-Rigid Registration For Immersive Image-Guided Neuronavigation Systems, Fotis Drakopoulos, Christos Tsolakis, Angelos Angelopoulos, Yixun Liu, Chengjun Yao, Kyriaki Rafailia Kavazidi, Nikolaos Foroglou, Andrey Fedorov, Sarah Frisken, Ron Kikinis, Alexandra Golby, Nikos Chrisochoides
Computer Science Faculty Publications
Objective: In image-guided neurosurgery, co-registered preoperative anatomical, functional, and diffusion tensor imaging can be used to facilitate a safe resection of brain tumors in eloquent areas of the brain. However, the brain deforms during surgery, particularly in the presence of tumor resection. Non-Rigid Registration (NRR) of the preoperative image data can be used to create a registered image that captures the deformation in the intraoperative image while maintaining the quality of the preoperative image. Using clinical data, this paper reports the results of a comparison of the accuracy and performance among several non-rigid registration methods for handling brain deformation. A …
Novel Method Of Supplementing Current Depression Treatments: Using Autonomous Sensory Meridian Response-Centered Therapy To Improve Constipation-Associated Comorbidity Of Depression, Shivam Patel
Virginias Collegiate Honors Council Conference
One-third of individuals struggling with constipation also suffer chronically from comorbid depression, but the evidently shared etiology has remained relatively ambiguous. This proposed study aims to analyze the role of Autonomous Sensory Meridian Response (ASMR), a newly recorded neural phenomenon that causes relaxing “tingles” from unique “triggers” in a subset of individuals, in altering serotonin (5-HT) levels within the ENS to aid with both depression and constipation. In depressed individuals, reduced 5-HT has been clinically accepted as a key symptom and is frequently treated with ineffective SSRIs. Prospective alternative methods of non-invasive treatment, such as ASMR, would not only aid …
From Their Perspective: A Qualitative Analysis Of Stroke Survivor’S Motivation To Participate In Rehabilitation, Katie Tinsley, Rachel Johnson
From Their Perspective: A Qualitative Analysis Of Stroke Survivor’S Motivation To Participate In Rehabilitation, Katie Tinsley, Rachel Johnson
Undergraduate Research Symposium
Introduction: It is common practice for healthcare professionals to make judgments about a patient's motivation based on their demeanor and compliance with therapy. Motivation is one of the predictors used to determine a stroke survivor's rehabilitation potential. There are several theories and constructs for motivation; however, there is limited research applying these concepts in stroke rehabilitation. Rehabilitation clinicians primarily rely on their clinical judgment and consult the evidence from related fields to identify the motivational needs of a stroke survivor. The objective of this study was to understand specific barriers to participation and identify motivational needs to sustain engagement in …
Robotically Steered Needles: A Survey Of Neurosurgical Applications And Technical Innovations, Michel A. Audette, Stéphane P.A. Bordas, Jason E. Blatt
Robotically Steered Needles: A Survey Of Neurosurgical Applications And Technical Innovations, Michel A. Audette, Stéphane P.A. Bordas, Jason E. Blatt
Computational Modeling & Simulation Engineering Faculty Publications
This paper surveys both the clinical applications and main technical innovations related to steered needles, with an emphasis on neurosurgery. Technical innovations generally center on curvilinear robots that can adopt a complex path that circumvents critical structures and eloquent brain tissue. These advances include several needle-steering approaches, which consist of tip-based, lengthwise, base motion-driven, and tissue-centered steering strategies. This paper also describes foundational mathematical models for steering, where potential fields, nonholonomic bicycle-like models, spring models, and stochastic approaches are cited. In addition, practical path planning systems are also addressed, where we cite uncertainty modeling in path planning, intraoperative soft tissue …
Deformable Multisurface Segmentation Of The Spine For Orthopedic Surgery Planning And Simulation, Rabia Haq, Jérôme Schmid, Roderick Borgie, Joshua Cates, Michel Audette
Deformable Multisurface Segmentation Of The Spine For Orthopedic Surgery Planning And Simulation, Rabia Haq, Jérôme Schmid, Roderick Borgie, Joshua Cates, Michel Audette
Computational Modeling & Simulation Engineering Faculty Publications
Purpose: We describe a shape-aware multisurface simplex deformable model for the segmentation of healthy as well as pathological lumbar spine in medical image data.
Approach: This model provides an accurate and robust segmentation scheme for the identification of intervertebral disc pathologies to enable the minimally supervised planning and patient-specific simulation of spine surgery, in a manner that combines multisurface and shape statistics-based variants of the deformable simplex model. Statistical shape variation within the dataset has been captured by application of principal component analysis and incorporated during the segmentation process to refine results. In the case where shape statistics hinder detection …
Saliva Microrna Biomarkers Of Cumulative Concussion, Steven D. Hicks, Robert P. Olympia, Cayce Onks, Raymond Y. Kim, Kevin J. Zhen, Gregory Fedorchak, Samantha Devita, Aakanksha Rangnekar, Matthew Heller, Hallie Zwibel, Chuck Monteith, Zofia Gagnon, Callan D. Mcloughlin, Jason Randall, Miguel Madeira, Thomas R. Campbell, Elise Fengler, Michael N. Dretsch, Christopher Neville, Frank A. Middleton
Saliva Microrna Biomarkers Of Cumulative Concussion, Steven D. Hicks, Robert P. Olympia, Cayce Onks, Raymond Y. Kim, Kevin J. Zhen, Gregory Fedorchak, Samantha Devita, Aakanksha Rangnekar, Matthew Heller, Hallie Zwibel, Chuck Monteith, Zofia Gagnon, Callan D. Mcloughlin, Jason Randall, Miguel Madeira, Thomas R. Campbell, Elise Fengler, Michael N. Dretsch, Christopher Neville, Frank A. Middleton
Rehabilitation Sciences Faculty Publications
Recurrent concussions increase risk for persistent post-concussion symptoms, and may lead to chronic neurocognitive deficits. Little is known about the molecular pathways that contribute to persistent concussion symptoms. We hypothesized that salivary measurement of microribonucleic acids (miRNAs), a class of epitranscriptional molecules implicated in concussion pathophysiology, would provide insights about the molecular cascade resulting from recurrent concussions. This hypothesis was tested in a case-control study involving 13 former professional football athletes with a history of recurrent concussion, and 18 age/sex-matched peers. Molecules of interest were further validated in a cross-sectional study of 310 younger individuals with a history of no …
The Impact Of Delayed Treatment Of Uncomplicated P. Falciparum Malaria On Progression To Severe Malaria: A Systematic Review And A Pooled Multicentre Individual-Patient Meta-Analysis, Andria Mousa, Abdullah Al-Taiar, Nicholas M. Anstey, Cyril Badaut, Bridget E. Barber, Quique Bassat, Joseph D. Challenger, Aubrey J. Cunnington, Dibyadyuti Datta, Chris Drakeley, Azra C. Ghani, Victor R. Gordeuk, Matthew J. Grigg, Pierre Hugo, Chandy C. John, Alfredo Mayor, Florence Migot-Nabias, Robert O. Opoka, Geoffrey Pasvoi, Claire Rees, Hugh Reyburn, Eleanor M. Riley, Binal N. Shah, Antonio Sitoe, Colin J. Sutherland, Philip E. Thuma, Stefan A. Unger, Firmine Viwami, Michael Walther, Christopher J.M. Whitty, Timothy William, Lucy C. Okell
The Impact Of Delayed Treatment Of Uncomplicated P. Falciparum Malaria On Progression To Severe Malaria: A Systematic Review And A Pooled Multicentre Individual-Patient Meta-Analysis, Andria Mousa, Abdullah Al-Taiar, Nicholas M. Anstey, Cyril Badaut, Bridget E. Barber, Quique Bassat, Joseph D. Challenger, Aubrey J. Cunnington, Dibyadyuti Datta, Chris Drakeley, Azra C. Ghani, Victor R. Gordeuk, Matthew J. Grigg, Pierre Hugo, Chandy C. John, Alfredo Mayor, Florence Migot-Nabias, Robert O. Opoka, Geoffrey Pasvoi, Claire Rees, Hugh Reyburn, Eleanor M. Riley, Binal N. Shah, Antonio Sitoe, Colin J. Sutherland, Philip E. Thuma, Stefan A. Unger, Firmine Viwami, Michael Walther, Christopher J.M. Whitty, Timothy William, Lucy C. Okell
Community & Environmental Health Faculty Publications
BACKGROUND: Delay in receiving treatment for uncomplicated malaria (UM) is often reported to increase the risk of developing severe malaria (SM), but access to treatment remains low in most high-burden areas. Understanding the contribution of treatment delay on progression to severe disease is critical to determine how quickly patients need to receive treatment and to quantify the impact of widely implemented treatment interventions, such as 'test-and-treat' policies administered by community health workers (CHWs). We conducted a pooled individual-participant meta-analysis to estimate the association between treatment delay and presenting with SM.
METHODS AND FINDINGS: A search using Ovid MEDLINE and Embase …
Quantifying The Varying Predictive Value Of Physical Activity Measures Obtained From Wearable Accelerometers On All-Cause Mortality Over Short To Medium Time Horizons In Nhanes 2003-2006, Lucia Tabacu, Mark Ledbetter, Andrew Leroux, Ciprian Crainiceanu, Ekaterina Smirnova
Quantifying The Varying Predictive Value Of Physical Activity Measures Obtained From Wearable Accelerometers On All-Cause Mortality Over Short To Medium Time Horizons In Nhanes 2003-2006, Lucia Tabacu, Mark Ledbetter, Andrew Leroux, Ciprian Crainiceanu, Ekaterina Smirnova
Mathematics & Statistics Faculty Publications
Physical activity measures derived from wearable accelerometers have been shown to be highly predictive of all-cause mortality. Prediction models based on traditional risk factors and accelerometry-derived physical activity measures are developed for five time horizons. The data set contains 2978 study participants between 50 and 85 years old with an average of 13.08 years of follow-up in the NHANES 2003–2004 and 2005–2006. Univariate and multivariate logistic regression models were fit separately for five datasets for one- to five-year all-cause mortality as outcome (number of events 46, 94, 155, 218, and 297, respectively). In univariate models the total activity count (TAC) …
Single-Molecule Analysis Of Subtelomeres And Telomeres In Alternative Lengthening Of Telomeres (Alt) Cells, Heba Z. Abid, Jennifer Mccaffrey, Kaitlin Raseley, Eleanor Young, Katy Lassahn, Dharma Varapula, Harold Riethman, Ming Xiao
Single-Molecule Analysis Of Subtelomeres And Telomeres In Alternative Lengthening Of Telomeres (Alt) Cells, Heba Z. Abid, Jennifer Mccaffrey, Kaitlin Raseley, Eleanor Young, Katy Lassahn, Dharma Varapula, Harold Riethman, Ming Xiao
School of Medical Diagnostics & Translational Sciences Publications
BACKGROUND: Telomeric DNA is typically comprised of G-rich tandem repeat motifs and maintained by telomerase (Greider CW, Blackburn EH; Cell 51:887-898; 1987). In eukaryotes lacking telomerase, a variety of DNA repair and DNA recombination based pathways for telomere maintenance have evolved in organisms normally dependent upon telomerase for telomere elongation (Webb CJ, Wu Y, Zakian VA; Cold Spring Harb Perspect Biol 5:a012666; 2013); collectively called Alternative Lengthening of Telomeres (ALT) pathways. By measuring (TTAGGG) n tract lengths from the same large DNA molecules that were optically mapped, we simultaneously analyzed telomere length dynamics and subtelomere-linked structural changes at a large …
Visual Estimates Of Blood Loss By Medical Laypeople: Effects Of Blood Loss Volume, Victim Gender, And Perspective, Rachel Phillips, Marc Friberg, Mattias Lantz Cronqvist, Carl-Oscar Jonson, Erik Prytz
Visual Estimates Of Blood Loss By Medical Laypeople: Effects Of Blood Loss Volume, Victim Gender, And Perspective, Rachel Phillips, Marc Friberg, Mattias Lantz Cronqvist, Carl-Oscar Jonson, Erik Prytz
Psychology Faculty Publications
A severe hemorrhage can result in death within minutes, before professional first responders have time to arrive. Thus, intervention by bystanders, who may lack medical training, may be necessary to save a victim's life in situations with bleeding injuries. Proper intervention requires that bystanders accurately assess the severity of the injury and respond appropriately. As many bystanders lack tools and training, they are limited in terms of the information they can use in their evaluative process. In hemorrhage situations, visible blood loss may serve as a dominant cue to action. Therefore, understanding how medically untrained bystanders (i.e., laypeople) perceive hemorrhage …
Prediction Of Molecular Mutations In Diffuse Low-Grade Gliomas Using Mr Imaging Features, Zeina A. Shboul, James Chen, Khan M. Iftekharrudin
Prediction Of Molecular Mutations In Diffuse Low-Grade Gliomas Using Mr Imaging Features, Zeina A. Shboul, James Chen, Khan M. Iftekharrudin
Electrical & Computer Engineering Faculty Publications
Diffuse low-grade gliomas (LGG) have been reclassified based on molecular mutations, which require invasive tumor tissue sampling. Tissue sampling by biopsy may be limited by sampling error, whereas non-invasive imaging can evaluate the entirety of a tumor. This study presents a non-invasive analysis of low-grade gliomas using imaging features based on the updated classification. We introduce molecular (MGMT methylation, IDH mutation, 1p/19q co-deletion, ATRX mutation, and TERT mutations) prediction methods of low-grade gliomas with imaging. Imaging features are extracted from magnetic resonance imaging data and include texture features, fractal and multi-resolution fractal texture features, and volumetric features. Training models include …
Can Nanotechnology Be The Leading Method In Detecting And Treating Cerebral Tumors?, Daniel D. Singh, Zuri Jules-Culver
Can Nanotechnology Be The Leading Method In Detecting And Treating Cerebral Tumors?, Daniel D. Singh, Zuri Jules-Culver
OUR Journal: ODU Undergraduate Research Journal
Nanotechnology refers to the manipulation or design of materials and structures with desired features in the 1nm–1000 nm size range. The blood brain barrier (BBB) is a major obstacle that drugs must overcome in order to reach tumor cells. The role of this barrier is to transport essential nutrients while protecting and regulating the internal environment. Nanoparticles have been shown to transport drugs through this barrier and accumulate in tumor cells. This is significant since nanoparticles are drug carriers allowing chemotherapeutic drugs to accumulate in target areas (Sun et al., 2017). This is possible because they are able to be …
Healthcare Robotics: Key Factors That Impact Robot Adoption In Healthcare, Sujatha Alla, Pilar Pazos
Healthcare Robotics: Key Factors That Impact Robot Adoption In Healthcare, Sujatha Alla, Pilar Pazos
Engineering Management & Systems Engineering Faculty Publications
In the current dynamic business environment, healthcare organizations are focused on improving patient satisfaction, performance, and efficiency. The healthcare industry is considered a complex system that is highly reliant of new technologies to support clinical as well as business processes. Robotics is one of such technologies that is considered to have the potential to increase efficiency in a wide range of clinical services. Although the use of robotics in healthcare is at the early stages of adoption, some studies have shown the capacity of this technology to improve precision, accessibility through less invasive procedures, and reduction of human error during …
Detection Of Human Plasma Glucose Using A Self-Powered Glucose Biosensor, Gymama Slaughter, Tanmay Kulkarni
Detection Of Human Plasma Glucose Using A Self-Powered Glucose Biosensor, Gymama Slaughter, Tanmay Kulkarni
Bioelectrics Publications
This work presents the characterization of a self-powered glucose biosensor using individual sequential assays of human plasma glucose obtained from diabetic patients. The self-powered glucose biosensor is exploited to optimize the assay parameters for sensing plasma glucose levels. In particular, the biofuel cell component of the system at pH 7.4, 37 °C generates a power density directly proportional to plasma glucose and exhibited a maximum power density of 0.462 mW·cm−2 at a cell voltage of 0.213 V in 5 mM plasma glucose. Plasma glucose is further sensed by monitoring the charge/discharge frequency (Hz) of the integrated capacitor functioning as …
Non-Contact Trapping And Stretching Of Biological Cells Using Dual-Beam Optical Stretcher On Microfluidic Platform, Aotuo Dong, Balaadithya Uppalapati, Shariful Islam, Brandon Gibbs, Ganesan Kamatchi, Sacharia Albin, Makarand Deo
Non-Contact Trapping And Stretching Of Biological Cells Using Dual-Beam Optical Stretcher On Microfluidic Platform, Aotuo Dong, Balaadithya Uppalapati, Shariful Islam, Brandon Gibbs, Ganesan Kamatchi, Sacharia Albin, Makarand Deo
Electrical & Computer Engineering Faculty Publications
Optical stretcher is a tool in which two counter-propagating, slightly diverging, and identical laser beams are used to trap and axially stretch microparticles in the path of light. In this work, we utilized the dual-beam optical stretcher setup to trap and stretch human embryonic kidney (HEK) cells and mammalian breast cancer (MBC) cells. Experiments were performed by exposing the HEK cells to counter-propagating laser beams for 30 seconds at powers ranging from 100 mW to 561 mW. It was observed that the percentage of cell deformation increased from 16.7% at 100 mW to 40.5% at 561 mW optical power. The …
The Revolution Will Be Open-Source: How 3d Bioprinting Can Change 3d Cell Culture, Robert D. Bruno, John Reid, Patrick C. Sachs
The Revolution Will Be Open-Source: How 3d Bioprinting Can Change 3d Cell Culture, Robert D. Bruno, John Reid, Patrick C. Sachs
School of Medical Diagnostics & Translational Sciences Publications
(First paragraph) The development of three-dimensional culture scaffolds represents a revolutionary step forward for in vitro culture systems. Various synthetic and naturally occurring substrates have been developed that support 3D growth of cells. In most fields, including mammary gland biology and tumorigenesis, the two most common substrates used are the basement membrane rich extracellur matrix (ECM) isolated from EngelbrethHolm-Swarm (EHS) mouse sarcomas (e.g. Matrigel) and collagen extracted from rat-tails. The processes of 3D culture in these two substrates has remained unchanged for nearly half a century: cells are either mixed with unpolymerized matrix to disperse them randomly throughout the substrate …
Feature-Guided Deep Radiomics For Glioblastoma Patient Survival Prediction, Zeina A. Shboul, Mahbubul Alam, Lasitha Vidyaratne, Linmin Pei, Mohamed I. Elbakary, Khan M. Iftekharuddin
Feature-Guided Deep Radiomics For Glioblastoma Patient Survival Prediction, Zeina A. Shboul, Mahbubul Alam, Lasitha Vidyaratne, Linmin Pei, Mohamed I. Elbakary, Khan M. Iftekharuddin
Electrical & Computer Engineering Faculty Publications
Glioblastoma is recognized as World Health Organization (WHO) grade IV glioma with an aggressive growth pattern. The current clinical practice in diagnosis and prognosis of Glioblastoma using MRI involves multiple steps including manual tumor sizing. Accurate identification and segmentation of multiple abnormal tissues within tumor volume in MRI is essential for precise survival prediction. Manual tumor and abnormal tissue detection and sizing are tedious, and subject to inter-observer variability. Consequently, this work proposes a fully automated MRI-based glioblastoma and abnormal tissue segmentation, and survival prediction framework. The framework includes radiomics feature-guided deep neural network methods for tumor tissue segmentation; followed …
Serological Proteomic Screening And Evaluation Of A Recombinant Egg Antigen For The Diagnosis Of Low-Intensity Schistosoma Mansoni Infections In Endemic Area In Brazil, Vanessa Silva-Moraes, Lisa Marie Shollenberger, William Castro-Borges, Ana Lucia Teles Rabello, Donald A. Harn, Lia Carolina Soares Medeiros, Wander De Jesus Jeremias, Liliane Maria Vidal Siqueira, Caroline Stephane Salviano Pereira, Maria Luysa Camargos Pedrosa, Nathalie Bonatti Franco Almeida, Aureo Almeida, Jose Roberto Lambertucci, Nidia Francisca De Figueiredo Carneiro, Paulo Marcos Zech Coelho, Refaella Fortini Queiroz Grenfell
Serological Proteomic Screening And Evaluation Of A Recombinant Egg Antigen For The Diagnosis Of Low-Intensity Schistosoma Mansoni Infections In Endemic Area In Brazil, Vanessa Silva-Moraes, Lisa Marie Shollenberger, William Castro-Borges, Ana Lucia Teles Rabello, Donald A. Harn, Lia Carolina Soares Medeiros, Wander De Jesus Jeremias, Liliane Maria Vidal Siqueira, Caroline Stephane Salviano Pereira, Maria Luysa Camargos Pedrosa, Nathalie Bonatti Franco Almeida, Aureo Almeida, Jose Roberto Lambertucci, Nidia Francisca De Figueiredo Carneiro, Paulo Marcos Zech Coelho, Refaella Fortini Queiroz Grenfell
Biological Sciences Faculty Publications
Background
Despite decades of use of control programs, schistosomiasis remains a global public health problem. To further reduce prevalence and intensity of infection, or to achieve the goal of elimination in low-endemic areas, there needs to be better diagnostic tools to detect low-intensity infections in low-endemic areas in Brazil. The rationale for development of new diagnostic tools is that the current standard test Kato-Katz (KK) is not sensitive enough to detect low-intensity infections in low-endemic areas. In order to develop new diagnostic tools, we employed a proteomics approach to identify biomarkers associated with schistosome-specific immune responses in hopes of developing …
Diagnosis Of Schistosoma Mansoni Infections: What Are The Choices In Brazilian Low-Endemic Areas?, Vanessa Silva-Moraes, Lisa M. Shollenberger, Liliane Maria Vidal Siqueira, William Castro-Borges, Donald A. Harn, Rafaella Fortini Queiroz E. Grenfell, Ana Lucia Teles Rabello, Paulo Marcos Zech Coelho
Diagnosis Of Schistosoma Mansoni Infections: What Are The Choices In Brazilian Low-Endemic Areas?, Vanessa Silva-Moraes, Lisa M. Shollenberger, Liliane Maria Vidal Siqueira, William Castro-Borges, Donald A. Harn, Rafaella Fortini Queiroz E. Grenfell, Ana Lucia Teles Rabello, Paulo Marcos Zech Coelho
Biological Sciences Faculty Publications
The population of Brazil is currently characterised by many individuals harbouring low-intensity Schistosoma mansoni infections. The Kato-Katz technique is the diagnostic method recommended by the World Health Organization (WHO) to assess these infections, but this method is not sensitive enough in the context of low egg excretion. In this regard, potential alternatives are being employed to overcome the limits of the Kato-Katz technique. In the present review, we evaluated the performance of parasitological and immunological approaches adopted in Brazilian areas. Currently, the diagnostic choices involve a combination of strategies, including the utilisation of antibody methods to screen individuals and then …
Inactivation Of Myeloma Cancer Cells By Helium And Argon Plasma Jets: The Effect Comparison And The Key Reactive Species, Zeyu Chen, Qingjie Cui, Chen Chen, Dehui Xu, Dingxin Liu, H. L. Chen, Michael G. Kong
Inactivation Of Myeloma Cancer Cells By Helium And Argon Plasma Jets: The Effect Comparison And The Key Reactive Species, Zeyu Chen, Qingjie Cui, Chen Chen, Dehui Xu, Dingxin Liu, H. L. Chen, Michael G. Kong
Bioelectrics Publications
In plasma cancer therapy, the inactivation of cancer cells under plasma treatment is closely related to the reactive oxygen and nitrogen species (RONS) induced by plasmas. Quantitative study on the plasma-induced RONS that related to cancer cells apoptosis is critical for advancing the research of plasma cancer therapy. In this paper, the effects of several reactive species on the inactivation of LP-1 myeloma cancer cells are comparatively studied with variable working gas composition, surrounding gas composition, and discharge power. The results show that helium plasma jet has a higher cell inactivation efficiency than argon plasma jet under the same discharge …
Use Of An Optical Scanning Device To Monitor The Progress Of Noninvasive Treatments For Chest Wall Deformity: A Pilot Study, Robert E. Kelly Jr., Robert J. Obermeyer, Ann Kuhn, Frazier W. Frantz, Mohammad F. Obeid, Nahom Kidane, Frederic D. Mckenzie
Use Of An Optical Scanning Device To Monitor The Progress Of Noninvasive Treatments For Chest Wall Deformity: A Pilot Study, Robert E. Kelly Jr., Robert J. Obermeyer, Ann Kuhn, Frazier W. Frantz, Mohammad F. Obeid, Nahom Kidane, Frederic D. Mckenzie
Computational Modeling & Simulation Engineering Faculty Publications
Background: The nonsurgical treatment of chest wall deformity by a vacuum bell or external brace is gradual, with correction taking place over months. Monitoring the progress of nonsurgical treatment of chest wall deformity has relied on the ancient methods of measuring the depth of the excavatum and the protrusion of the carinatum. Patients, who are often adolescent, may become discouraged and abandon treatment. Methods: Optical scanning was utilized before and after the intervention to assess the effectiveness of treatment. The device measured the change in chest shape at each visit. In this pilot study, patients were included if they were …
Electrotransfer Of Plasmid Dna Radiosensitizes B16f10 Tumors Through Activation Of Immune Response, Richard Heller
Electrotransfer Of Plasmid Dna Radiosensitizes B16f10 Tumors Through Activation Of Immune Response, Richard Heller
School of Medical Diagnostics & Translational Sciences Publications
Background
Tumor irradiation combined with adjuvant treatments, either vascular targeted or immunomodulatory, is under intense investigation. Gene electrotransfer of therapeutic genes is one of these approaches. The aim of this study was to determine, whether gene electrotransfer of plasmid encoding shRNA for silencing endoglin, with vascular targeted effectiveness, can radiosensitize melanoma B16F10 tumors.
Materials and methods
The murine melanoma B16F10 tumors, growing on the back of C57Bl/6 mice, were treated by triple gene electrotransfer and irradiation. The antitumor effect was evaluated by determination of tumor growth delay and proportion of tumor free mice. Furthermore, histological analysis of tumors (necrosis, apoptosis, …
The Role Of Neighborhood Characteristics In Late Stage Melanoma Diagnosis Among Hispanic Men In California, Texas, And Florida, 1996-2012, Valerie M. Harvey, Clinton W. Enos, Jarvis T. Chen, Hadiza Galadima, Karl Eschbach
The Role Of Neighborhood Characteristics In Late Stage Melanoma Diagnosis Among Hispanic Men In California, Texas, And Florida, 1996-2012, Valerie M. Harvey, Clinton W. Enos, Jarvis T. Chen, Hadiza Galadima, Karl Eschbach
Community & Environmental Health Faculty Publications
Background. Hispanics diagnosed with cutaneous melanoma are more likely to present at advanced stages but the reasons for this are unknown. We identify census tracts at high risk for late stage melanoma diagnosis (LSMD) and examine the contextual predictors of LSMD in California, Texas, and Florida. Methods. We conducted a cross-sectional study using geocoded state cancer registry data. Using hierarchical multilevel logistic regression models we estimated ORs and 95% confidence intervals for the impact of socioeconomic, Hispanic ethnic concentration, index of dissimilarity, and health resource availability measures on LSMD. Results. We identified 12,493 cases. In California, late …
Race, Ethnicity, Psychosocial Factors, And Telomere Length In A Multicenter Setting, Shannon M. Lynch, M. K. Peek, Nandita Mitra, Krithika Ravichandran, Charles Branas, Elaine Spangler, Wenting Zhou, Electra D. Paskett, Sarah Gehlert, Cecilia Degraffinreid, Timothy R. Rebbeck, Harold Riethman
Race, Ethnicity, Psychosocial Factors, And Telomere Length In A Multicenter Setting, Shannon M. Lynch, M. K. Peek, Nandita Mitra, Krithika Ravichandran, Charles Branas, Elaine Spangler, Wenting Zhou, Electra D. Paskett, Sarah Gehlert, Cecilia Degraffinreid, Timothy R. Rebbeck, Harold Riethman
School of Medical Diagnostics & Translational Sciences Publications
Background
Leukocyte telomere length(LTL) has been associated with age, self-reported race/ethnicity, gender, education, and psychosocial factors, including perceived stress, and depression. However, inconsistencies in associations of LTL with disease and other phenotypes exist across studies. Population characteristics, including race/ethnicity, laboratory methods, and statistical approaches in LTL have not been comprehensively studied and could explain inconsistent LTL associations.
Methods
LTL was measured using Southern Blot in 1510 participants from a multi-ethnic, multi-center study combining data from 3 centers with different population characteristics and laboratory processing methods. Main associations between LTL and psychosocial factors and LTL and race/ethnicity were evaluated and then …
The Influence Of A Crosshair Visual Aid On Observer Detection Of Simulated Fetal Heart Rate Signals, Rebecca A. Kennedy, Mark W. Scerbo, Brittany L. Anderson-Montoya, Lee A. Belfore Ii, Alfred Z. Abuhamad, Stephen S. Davis
The Influence Of A Crosshair Visual Aid On Observer Detection Of Simulated Fetal Heart Rate Signals, Rebecca A. Kennedy, Mark W. Scerbo, Brittany L. Anderson-Montoya, Lee A. Belfore Ii, Alfred Z. Abuhamad, Stephen S. Davis
Psychology Faculty Publications
Objective To determine whether a visual aid overlaid on fetal heart rate (FHR) tracings increases detection of critical signals relative to images with no visual aid.
Study Design In an experimental study, 21 undergraduate students viewed 240 images of simulated FHR tracings twice, once with the visual aids and once without aids. Performance was examined for images containing three different types of FHR signals (early deceleration, late deceleration, and acceleration) and four different FHR signal-to-noise ratios corresponding to FHR variability types (absent, minimal, moderate, and marked) identified by the National Institute of Child Health and Human Development (2008). Performance was …
An Efficient Method For Optimizing Segmentation Parameters, Jacob D' Avy, Wei-Wen Hsu, Chung-Hao Chen, Andreas F. Koschan, Mongi Abidi
An Efficient Method For Optimizing Segmentation Parameters, Jacob D' Avy, Wei-Wen Hsu, Chung-Hao Chen, Andreas F. Koschan, Mongi Abidi
Electrical & Computer Engineering Faculty Publications
Segmenting an image into meaningful regions is an important step in many computer vision applications such as facial recognition, target tracking and medical image analysis. Because image segmentation is an ill-posed problem, parameters are needed to constrain the solution to one that is suitable for a given application. For a user, setting parameter values is often unintuitive. We present a method for automating segmentation parameter selection using an efficient search method to optimize a segmentation objective function. Efficiency is improved by utilizing prior knowledge about the relationship between a segmentation parameter and the objective function terms. An adaptive sampling of …