Digital Commons Network^™

Novel Approaches To Combat Neuro-Degradation: Investigations Of Two Supplemental Strategies Aimed At Improving Warfighter Performance, Blaine Lints

Theses and Dissertations

This dissertation examines the efficacy of two distinct nutritional supplementation strategies for improving physical and/or cognitive performance under stress. The first study investigated the effects of 150 mg caffeine plus 150 mg theacrine ingestion in tactically trained individuals. Results indicated that the combination of caffeine and theacrine was associated with significant improvements in reaction time, accuracy, and measures of ocular control following high-intensity interval (HII) exercise. The HII exercise protocol consisted of ten repetitions of 60s high-intensity intervals (≥90% maximal oxygen uptake [VO_2max]) followed by 120s low-intensity intervals (~40% VO_2max) on a treadmill. These benefits were …

Enhancing Proof-Of-Learning Security Against Spoofing Attacks Using Model Watermarking, Ozgur Ural

Doctoral Dissertations and Master's Theses

With the rapid expansion of machine learning (ML) technologies across diverse domains such as healthcare, finance, and autonomous systems, ensuring secure and trustworthy training methodologies has become more critical than ever. Proof-of-Learning (PoL) has recently emerged as a foundational mechanism for verifying the computational effort invested in training ML models, thereby certifying the authenticity and reproducibility of the training process. Yet PoL, when deployed in isolation, remains vulnerable to sophisticated spoofing attacks that manipulate its subset-verification pathways and tolerance parameters. In parallel, model watermarking has become indispensable for safeguarding intellectual property and detecting unauthorized model usage. Motivated by these complementary …

Investing Hysteresis In Floodplain Dynamics Of Lakes In The Middle St. Johns River Using Sentinel-1 Sar Imagery, Keenan Hubbard

Doctoral Dissertations and Master's Theses

Floodplain dynamics are often complex, with hysteresis potentially affecting the temporal relationship between flood stage and flood extent during subsequent inundation phases. This study leverages Sentinel-1 synthetic aperture radar (SAR) imagery to map flood extent in the Middle St. Johns River Lake floodplains and examine the presence of hysteresis during flood events. SAR scenes corresponding to river gauge readings were analyzed from the rising and falling limbs of a flood hydrograph. By comparing these flood maps, we assess differences in inundated areas at equivalent water levels during each stage of the flood event. The findings aim to enhance flood monitoring …

Experimental Analysis Of Satellite Operator Training Using Game-Based Virtual Reality Simulation, Lana Laskey

Doctoral Dissertations and Master's Theses

Satellite data plays a vital role in modern global infrastructure by enabling communications, navigation, and weather forecasting. As demand for satellite technology grows, so does the need for highly trained satellite ground operators. Traditional training regimens for satellite operators employ simulation using two-dimensional computer console displays paired with the varied ability of trainees to generate abstract mental imagery of the scenario. However, this development of mental imagery imposes a considerable learning curve and cognitive workload on the trainee, which may negatively impact the user experience and knowledge gained during the training scenario.

This experimental study investigated the effects of game-based …

Effect Of Vehicular Electrification On Transportation Emissions In Florida, Shreya Sapkota Dhakal

Doctoral Dissertations and Master's Theses

Vehicular emissions from fuel-based passenger cars emit an array of gases and particles that are detrimental for human health and the environment. In that regard, electric vehicles (EVs) present a viable, sustainable solution. This study investigated the impact of electrification of passenger cars on air quality in Florida, in five major urban counties namely Miami-Dade, Duval, Hillsborough, Orange, and Leon. Between 2018 and 2022, these counties experienced a significant increase of 219.50 ± 52.32% in EV adoption, coupled with a 11.55 ± 6.13% decrease in fuel-based vehicle usage. Herein, we characterize five pollutants primarily generated from fuel-based passenger vehicles- carbon …

The Potential And Perils Of Financializing Climate Risk Governance: Insights For Urban Policymakers, Emma Colven, Madison Condon, Kelly Hereid, Savannah Cox

Faculty Scholarship

In this roundtable discussion, Savannah Cox speaks with three experts about the financialization of climate risk governance: Kelly Hereid, a climate scientist at Liberty Mutual, Madison Condon, an associate professor at Boston University School of Law, and Emma Colven, a lecturer in risk, environment, and society at King’s College London. In this conversation that ranges from Miami to Jakarta, Savannah, Kelly, Madison, and Emma discuss the legal, political, and technical challenges relating to financialized climate risk governance: on one hand, the rise of insurance companies and rating agencies as de facto “risk assessors” and, on the other hand, the proliferation …

Functional Time Transformation Model With Applications To Digital Health, Rahul Ghosal Ph.D., Marcos Matabuena, Sujit K. Ghosh

Faculty Publications

The advent of wearable and sensor technologies now leads to functional predictors which are intrinsically infinite dimensional. While the existing approaches for functional data and survival outcomes lean on the well-established Cox model, the proportional hazard (PH) assumption might not always be suitable in real-world applications. Motivated by physiological signals encountered in digital medicine, we develop a more general and flexible functional time-transformation model for estimating the conditional survival function with both functional and scalar covariates. A partially functional regression model is used to directly model the survival time on the covariates through an unknown monotone transformation and …

Double Trouble: A Rare Cause Of Bilateral Upper Extremity Swelling, Lauren Abbas, Sheena Mckenzie

Advocate GME

No abstract provided.

Blue In The Face: Unraveling A Hypoxic Mystery, Lauren Abbas, Sheena Mckenzie

Advocate GME

No abstract provided.

The Bare Truth Behind A Sore Throat, Jennifer W. Glusman Do, Jamel Mansur Md, Martin E. Anderson, Mallory Logsdon Do

Advocate GME

Introduction/Background: A fully vaccinated 16-year-old female from Mexico with PMH of sinusitis requiring surgery, presented with a three-month history of chronic pharyngitis despite multiple courses of antibiotics, difficulty swallowing, voice changes, fevers, chills, and a 30-pound weight loss. ROS revealed acute-onset worsening throat pain, right-sided headache, ear pain, cough, and biliteral lacrimation. On exam, she was non-toxic, visibly uncomfortable. She had a severely muffled voice, lacrimation, bilateral tonsillar hypertrophy, pseudomembranes on right tonsil/pharynx, and difficulty swallowing thick secretions. Her neck was supple with normal ROM and no tenderness. She saturated well on room air but was tachycardic, had mild hepatosplenomegaly, …

Tumour And Microenvironment Crosstalk In Nsclc Progression And Response To Therapy, Zahraa Rahal, Roy El Darzi, Seyed Javad Moghaddam, Tina Cascone, Humam Kadara

Faculty, Staff and Student Publications

The treatment landscape of non-small-cell lung cancer (NSCLC) is evolving rapidly, driven by advances in the development of targeted agents and immunotherapies. Despite this progress, some patients have suboptimal responses to treatment, highlighting the need for new therapeutic strategies. In the past decade, the important role of the tumour microenvironment (TME) in NSCLC progression, metastatic dissemination and response to treatment has become increasingly evident. Understanding the complexity of the TME and its interactions with NSCLC can propel efforts to improve current treatment modalities, overcome resistance and develop new treatments, which will ultimately improve the outcomes of patients. In this Review, …

Diagnostic Guidance For Chronic Complex Regional Pain Syndrome Type I And Type Ii From The American Society Of Interventional Physicians (Asipp), Christopher Gharibo, Miles Day, Steve M Aydin, Alan D Kaye, Salahadin Abdi, Lisa V Doan, Kris Ferguson, Kirolos Georges, Andrew Kaufman, Nebojsa Nick Knezevic, Sean Li, Franzes A Liongson, Devi Nampiaparampil, Annu Navani, Mahendra Sanapati, Michael E Schatman, Amol Soin, Peter S Staats, Giustino Varrassi, Jing Wang, Laxmaiah Manchikanti

Faculty, Staff and Student Publications

Background: Complex Regional Pain Syndrome (CRPS) is a challenging and often disabling condition marked by persistent pain, most commonly in a limb following injury or surgery. It presents with a wide array of symptoms, including intense pain, swelling, alterations in skin color and temperature, motor dysfunction, and trophic changes such as skin and tissue atrophy. While the precise cause of CRPS is not fully understood, it is thought to stem from abnormal nervous system activity, leading to heightened pain sensitivity and inflammatory responses. A thorough understanding of CRPS is essential for accurate diagnosis, effective treatment, and enhancing patients' quality of …

Memantine Inhibits Calcium-Permeable Ampa Receptors, Elisa Carrillo, Alejandra Montaño Romero, Cuauhtemoc U Gonzalez, Andreea L Turcu, Santiago Vázquez, Vasanthi Jayaraman

Faculty, Staff and Student Publications

Memantine is an US Food and Drug Administration (FDA) approved drug that is thought to selectively inhibit NMDA-subtype of ionotropic glutamate receptors (NMDARs). NMDARs enable calcium influx into neurons and are critical for normal brain function. However, increasing evidence shows that calcium influx in neurological diseases is augmented by calcium-permeable AMPA-subtype ionotropic glutamate receptors (AMPARs). Here, we demonstrate that these calcium-permeable AMPARs (CP-AMPARs) are inhibited by memantine. Electrophysiology unveils that memantine inhibition of CP-AMPARs is dependent on their calcium permeability and the presence of their neuronal auxiliary subunit transmembrane AMPAR regulatory proteins (TARPs). Through cryo-electron microscopy we elucidate that memantine …

Feasibility Of Monte Carlo-Based Patient-Specific Quality Assurance In 15 Tesla Magnetic Resonance-Guided Online Adaptive Radiotherapy: A Multi-Institutional Study, Ruiqi Li, Yao Zhao, Jingying Lin, Tsuicheng Chiu, Weiguo Lu, Mu-Han Lin

Faculty, Staff and Student Publications

Introduction: To evaluate the feasibility of Monte Carlo (MC)-based patient-specific quality assurance (PSQA) for MR-guided online adaptive radiotherapy and to explore the potential to eliminate the post-delivery measurement-based PSQA.

Material and methods: A total of 113 cases from two institutions, treated on MR-Linac machines, were included in the study. A customized GPU-accelerated, Monte Carlo-based secondary dose verification software (ART2Dose) was developed and integrated into the QA workflow, accounting for a 1.5 Tesla magnetic field. PSQA included ArcCheck (AC) delivery QA and online MC calculation-based QA. Reference plans underwent offline validation with AC and MC, while adapt-to-shape (ATS) plans were processed …

Developing Reference Plans For Evaluating Global Clinical Trials Credentialing And Psqa Systems, Fre'etta M D Brooks, Mohammad Hussein, Jessica Lye, Christopher L Nelson, Nakamura Mitsuhiro, Patricia Diez, Maddison Shaw, Ileana Silvestre Patallo, Miriam Barry, Catharine H Clark, Joerg Lehmann, Stephen F Kry

Faculty, Staff and Student Publications

Purpose: To develop a practical framework for creating a diverse set of validated reference plans (varying in complexity) and implement a workflow to introduce beam modeling, calibration, and delivery errors into the reference cohort to test and compare various dosimetry audit methodologies.

Methods: Sixteen IMRT and VMAT reference plans were created, using RayStation software, for four phantom geometries based on established credentialing cases from participating Global Harmonization Group (GHG) members. These reference plans were first validated in a multi-ion-chamber phantom. Nine dosimetric errors (perturbations) were introduced into the plans by modifying beam model and/or delivery parameters (MLC-offset, MLC-transmission, leaf-tip-width, PDD, …

Dynamic Contrast-Enhanced Mri Processing Comparison For Distinguishing True Progression From Pseudoprogression In High-Grade Glioma, Ahmad Amer, Shehbaz Ansari, Apollo Krayyem, Suprateek Kundu, Swapnil Khose, Susana Calle, Zixi Yang, Ho-Ling Anthony Liu, Jason M Johnson

Faculty, Staff and Student Publications

Background: Treatment-related changes may occur due to radiation and temozolomide in glioblastoma and can mimic tumor progression on conventional MRI. DCE-MRI enables quantification of the extent of blood-brain barrier (BBB) disruption, providing information about areas of suspicious postcontrast T1 enhancement. We compared DCE-MRI processing methods for distinguishing true disease progression from pseudoprogression in high-grade gliomas (HGGs).

Methods: We identified 110 patients with HGG treated with surgery and chemoradiation who underwent DCE-MRI to further interrogate areas of new/increasing enhancement. All patients had confirmatory surgery/biopsy with pathology-confirmed progression or pseudoprogression. Scans were performed at 3T and analyzed using nordicICE. The MCA, SSS, …

Technical Development And In Silico Implementation Of Syntheticmr In Head And Neck Adaptive Radiation Therapy: A Prospective R-Ideal Stage 0/1 Technology Development Report, Lucas Mccullum, Samuel L Mulder, Natalie A West, Robert Aghoghovbia, Alaa Mohamed Shawky Ali, Travis C Salzillo, Alex Dresner, Ergys Subashi, Dan Ma, R Jason Stafford, Ken-Pin Hwang, Clifton D Fuller

Faculty, Staff and Student Publications

Background: SyntheticMR has the capability of generating quantitative relaxometry maps and synthetic contrast-weighted MRI images in rapid acquisition times. Recently, it has gained attention in the diagnostic community, however, no studies have investigated its feasibility on the MR-Simulation or MR-Linac systems, especially as part of the head and neck adaptive radiation oncology workflow.

Purpose: Demonstrating its feasibility will facilitate rapid quantitative biomarker extraction, which can be leveraged to guide adaptive radiation therapy decision making.

Methods: Two phantoms, two healthy volunteers, and one patient were scanned using SyntheticMR on the MR-Simulation and MR-Linac devices with scan times between 4 to 6 …

Image-Based Mandibular And Maxillary Parcellation And Annotation Using Computed Tomography (Impact): A Deep Learning-Based Clinical Tool For Orodental Dose Estimation And Osteoradionecrosis Assessment, Laia Humbert-Vidan, Austin H Castelo, Renjie He, Lisanne V Van Dijk, Dong Joo Rhee, He C Wang, Sonali Joshi, Parshan Gerafian, Natalie West, Zaphanlene Kaffey, Sarah Mirbahaeddin, Jaqueline Curiel, Samrina Acharya, Amal Shekha, Praise Oderinde, Alaa M S Ali, Andrew Hope, Erin Watson, Ruth Wesson-Aponte, Steven J Frank, Carly E A Barbon, Kristy K Brock, Mark S Chambers, Muhammad Walji, Katherine A Hutcheson, Stephen Y Lai, Clifton D Fuller, Mohamed A Naser, Amy C Moreno, Opc-Survivor Program, Md Anderson Head And Neck Cancer Symptom Working Group

Faculty, Staff and Student Publications

Background and purpose: Accurate delineation of orodental structures on radiotherapy computed tomography (CT) images is essential for dosimetric assessment and dental decisions. We propose a deep-learning (DL) auto-segmentation framework for individual teeth and mandible/maxilla sub-volumes aligned with the ClinRad osteoradionecrosis staging system.

Materials and methods: Mandible and maxilla sub-volumes were manually defined on simulation CT images from 60 clinical cases, differentiating alveolar from basal regions; teeth were labelled individually. For each task, a DL segmentation model was independently trained. A Swin UNETR-based model was used for mandible sub-volumes. For smaller structures (e.g., teeth and maxilla sub-volumes) a two-stage model first …

First-In-Human Phase 1 Study Of Khk2455 Monotherapy And In Combination With Mogamulizumab In Patients With Advanced Solid Tumors, Timothy A Yap, Olivier Rixe, Capucine Baldini, Ursa Brown-Glaberman, Sergey Efuni, Christophe Massard, Andreea Varga, Emrullah Yilmaz, Yuta Ikawa, Lisa H Shiue, Yi Liu, Matthew W Hruska, Henry Zhao, Akihiro Tokunaga, Solmaz Sahebjam

Faculty, Staff and Student Publications

Background: Indoleamine 2,3-dioxygenase 1 (IDO1) is a heme-containing enzyme that degrades tryptophan (Trp) to kynurenine (Kyn), which suppresses effector T cells and reduces antitumor activity. KHK2455 is a long-acting selective IDO1 inhibitor that blocks the heme component of the IDO holoenzyme. Mogamulizumab is a humanized immunoglobulin G1 monoclonal antibody targeting CCR4. KHK2455 + mogamulizumab demonstrated enhanced antitumor activity in preclinical studies, which led to a first-in-human, two-part, multicenter, open-label, phase 1, dose-escalation, cohort-expansion trial (ClinicalTrials.gov identifier NCT02867007) evaluating the safety/tolerability, pharmacokinetics, and IDO1 activity of KHK2455 alone and in combination with mogamulizumab in patients with treatment-refractory advanced solid tumors. …

Coordinated Regulation By Lncrnas Results In Tight Lncrna-Target Couplings, Hua-Sheng Chiu, Sonal Somvanshi, Chung-Te Chang, Eric James De Bony De Lavergne, Zhaowen Wei, Wim Trypsteen, Ektaben Patel, Tien T Tang, David B Flint, Mohammad Javad Najaf Panah, Hyunjae Ryan Kim, Purva Rathi, Yan-Hwa Wu Lee, Sarah E Woodfield, Sanjeev A Vasudevan, Andras Attila Heczey, M Waleed Gaber, Gabriel O Sawakuchi, Ting-Wen Chen, Pieter Mestdagh, Xuerui Yang, Pavel Sumazin

Faculty, Staff and Student Publications

The determination of long non-coding RNA (lncRNA) function is a major challenge in RNA biology with applications to basic, translational, and medical research. We developed BigHorn to computationally infer lncRNA-DNA interactions that mediate transcription and chromatin-remodeling factor activity. Its accurate inference enabled the identification of lncRNAs that coordinately regulate both the transcriptional and post-transcriptional processing of their targets. These lncRNAs may act as molecular chaperones, regulating the stability and translation of mRNAs they helped transcribe, leading to tightly coupled expression profiles. Our analysis suggests that lncRNAs regulate cancer genes across tumor contexts, thus propagating the effects of non-coding alterations to …

1d Thermoembolization Model Using Ct Imaging Data For Porcine Liver, Rohan Amare, Danielle Stolley, Steve Parrish, Megan Jacobsen, Rick R Layman, Beatrice Riviere, David Fuentes, Erik Cressman

Faculty, Staff and Student Publications

Innovative therapies such as thermoembolization are expected to play an important role in improving care for patients with diseases such as hepatocellular carcinoma. Thermoembolization is a minimally invasive strategy that combines thermal ablation and embolization in a single procedure. This approach exploits an exothermic chemical reaction that occurs when an acid chloride is delivered via an endovascular route. However, comprehension of the complexities of the biophysics of thermoembolization is challenging. Mathematical models can aid in understanding such complex processes and assisting clinicians in making informed decisions. In this study, we used a Hagen-Poiseuille 1D blood flow model to predict the …

Involved But Not Essential: Cognitive Activity In Periventricular Nodules And Neuropsychological Outcomes Following Their Ablation, Yosefa A Modiano, Oscar Woolnough, Ryan M Mccormack, Kathryn Snyder, Ellery Wheeler, Nuria Lacuey, Katherine Harris, Jay Gavvala, Jessica A Johnson, Nitin Tandon

Faculty, Staff and Student Publications

Objective: Periventricular nodular heterotopia (PVNH) is a malformation of cortical development with high rates of epilepsy. The extent to which nodules participate in normal cerebral functions in addition to pathological processes is unclear. The authors assessed the functional utility (i.e., cognitive impacts) of surgically ablated epileptogenic PVNH tissue via comprehensive neuropsychological testing.

Methods: The sample included 32 patients with PVNH who underwent presurgical neuropsychological evaluation and a subsample of 16 patients who underwent MR-guided laser interstitial thermal therapy (MRgLITT) of nodules, with postsurgical neuropsychological testing. In 11 patients in whom intracranial recordings were performed, reading and naming tasks were tested …

Local Control After Adjuvant Radiosurgery For Spinal Metastasis Treated With Decompression And Posterior Segmental Stabilization: A Comparison Between Carbon Fiber/Polyetheretherketone-Based And Metallic Implants, Romulo A Andrade-Almeida, Francisco Call-Orellana, Juan P Zuluaga-Garcia, Esteban Ramirez-Ferrer, Gil Kimchi, Alexandre B Guimaraes, Jing Li, Amol J Ghia, Laurence Rhines, Martin C Tom, Chenyang Wang, Thomas H Beckham, Behrang Amini, Robert Y North, Claudio E Tatsui

Faculty, Staff and Student Publications

Purpose: Carbon fiber-reinforced polyetheretherketone (CFRP) spinal implants are gaining popularity in the surgical management of spinal metastasis because of their physical and radiographic properties, which facilitate adjuvant radiation planning and tumor surveillance. Their impact on clinical outcomes is still under investigation. We evaluated the role of hardware material (CFRP vs titanium) in local control and hardware durability in metastatic cases receiving decompressive surgery and adjuvant spinal stereotactic radiosurgery (SSRS).

Methods and materials: This single-institution, retrospective cohort study was approved by the local institutional review board. Patients who underwent decompressive surgery with posterior segmental instrumentation followed by treatment with SSRS for …

Outcomes And Toxicity Following 3 Or More Definitive Courses Of Thoracic Radiation Therapy For Non-Small Cell Lung Cancer, Abigael Odwuor, Percy Lee, Joe Y Chang, Saumil Gandhi, Zhongxing Liao, Aileen Chen, Michael S O'Reilly, Stephen G Chun, Julianna Bronk, David Qian, Matthew S Ning

Faculty, Staff and Student Publications

Purpose: Salvage re-irradiation is increasingly utilized to manage non-small cell lung cancer (NSCLC) locoregional recurrence or new lung primaries in previously treated areas. There is sparse information on efficacy and toxicity profile. We report a large experience of patients treated with multiple courses of definitive radiation for new and recurrent NSCLC.

Methods and materials: Medical records of patients who underwent ≥ 3 definitive thoracic radiation therapy (RT) courses for new or recurrent NSCLC at our cancer center from 2012 through 2021 were retrospectively reviewed following institutional review board approval. Toxicity was graded per Common Terminology Criteria for Adverse Events (CTCAE) …

A Follow-Up Study On The Novel Use Of Contrast-Enhanced Susceptibility-Weighted Imaging For Extremity Desmoid Fibromatosis Response Assessment, Raul F Valenzuela, Elvis Duran-Sierra, Mathew Antony, Behrang Amini, Sam Lo, Ken-Pin Hwang, R Jasson Stafford, Ravin Ratan, John E Madewell, Dejka Araujo, William A Murphy, Colleen M Costelloe

Faculty, Staff and Student Publications

Desmoid tumors are rare mesenchymal neoplasms characterized by a clonal proliferation of fibroblasts and myofibroblasts. Using the novel contrast-enhanced susceptibility-weighted imaging (CE-SWI) for characterizing desmoid tumors can enhance the separation between fibrous T2-hypointense and cellular T1-enhancing components. We aim to evaluate the effectiveness of the CE-SWI signal, volumetric, and radiomics-derived features in assessing desmoid treatment response. This IRB-approved study included 17 single-lesion extremity desmoid fibromatosis patients who underwent standard-of-care MRI, including CE-SWI, from March 2021 to February 2024. Measurements of maximum diameter, volume, and the modified Choi (m-Choi: tumor/muscle T2 ratio) were computed based on CE-SWI and T2-STIR volumetric tumor …

Realism, Instrumentalism, And The Language Of Science Teaching: A Quantitative Study, James M. Almand

PhD in Education

The purpose of this quantitative, non-experimental, correlational study was to investigate how science educators' epistemological orientations, specifically, their leanings toward realism or instrumentalism, influence the degree of certainty in their instructional language. The study addressed a significant gap in science education literature by empirically analyzing whether educators' philosophical beliefs about the nature of scientific knowledge predict the language they use when teaching science. Data were collected through a researcher-developed survey, the Science Educators' Epistemological Beliefs and Classroom Language Practices Survey, which measured participants' epistemological positions and linguistic tendencies across a sample of current and former science educators in the United …

The Lived Experiences Of Education Instructors At Abc Vocational School For The Incarcerated, Artemas R. Holloway

Doctor of Education (Ed.D)

This qualitative phenomenological study explored how specialized community college trade instructors' lived experiences influence classroom strategies, management, and teaching methods when educating incarcerated students at ABC Vocational School (ABCV), a college campus within a correctional setting. Grounded in social constructionism, the study examined how instructors develop professional knowledge through interactions with students, colleagues, and the institutional environment. Ten instructors with at least one year of experience teaching incarcerated students participated in semi-structured interviews conducted through Zoom. Interview transcripts were examined using descriptive coding and thematic analysis supported by manual procedures and Delve qualitative data analysis software. Five themes emerged: (a) …

Non-Invasive Tools For Analysis Of Plasma Membrane Protein Topology In Living Cells, Daria Savenkova, Leysan Bulatova, Vera Skripova, Ramziya Kiyamova, Mikhail Bogdanov

Faculty, Staff and Student Publications

Membrane protein topology studies offer guidance to membrane protein structure, folding, and function, serving as a credible scaffold for designing site-directed mutagenesis and biochemical experiments, helping to identify functionally significant extracellular and intracellular regions, modeling three-dimensional structures, and building reliable mechanistic models. Membrane protein structure as a function of given lipid composition and physiological state of the cell is best probed in whole intact cells. A described simple and advanced immunofluorescence protocol applied to the transmembrane orientation of extramembrane domains permits a topology analysis of plasma membrane proteins in their native state in living unperturbed eucaryotic cells. The accessibility of …

The Evolution Of Multidisciplinary Head And Neck Cancer Treatment, Kevin J Contrera, Pooja D Reddy, Vanessa Helou, Jeffrey N Myers, Heath D Skinner, Eugene N Myers

Faculty, Staff and Student Publications

Objective: The management of head and neck squamous cell carcinoma (HNSCC) has substantially changed over the past two centuries. This review explores the historical progression of HNSCC management focusing on the multidisciplinary treatment paradigm.

Data sources: This review synthesizes data from historical and current clinical trials, books, scientific reports, public documents, and other written material relevant to HNSCC management.

Review methods: Historical review.

Results: Although surgery was initially the only treatment available, radiation, chemotherapy, and immunotherapy have expanded the treatment landscape for HNSCC. Despite continuous evolution, modern treatment of HNSCC remains rooted in a multidisciplinary, personalized approach. This review highlights …

A Method For Sensitivity Analysis Of Automatic Contouring Algorithms Across Different Contrast Weightings Using Synthetic Magnetic Resonance Imaging, Lucas Mccullum, Zayne Belal, Warren Floyd, Alaa Mohamed Shawky Ali, Natalie West, Yao Ding, Dan Thill, Nicolette O'Connell, Joseph Stancanello, Kareem A Wahid, David T Fuentes, Ken-Pin Hwang, Clifton D Fuller

Faculty, Staff and Student Publications

Background and purpose: A majority of institution-specific automatic magnetic resonance imaging (MRI)-based contouring algorithms utilize one contrast-weighting (i.e., T2-weighted), however their performance within this contrast-weighting (i.e., across different repetition time, TR, and echo time, TE) is under-investigated and poorly understood. The purpose of this study was to develop a method to evaluate the robustness of automatic contouring algorithms to varying MRI contrast-weightings.

Materials and methods: One healthy volunteer and one patient were scanned using the multi-delay multi-echo (MDME) scan on a 3T MRI. The parotid and submandibular glands in these subjects were contoured using an automatic contouring algorithm trained on …