Digital Commons Network^™

Cytidine Triphosphate Specifically Modulates Parb-Mediated Dna Compaction: Insights From Single-Molecule Analysis And Parb C-Terminal Lysine Mutagenesis, Lois Akosua Serwaa

Theses and Dissertations

ParB is a central player in bacterial chromosome segregation, and cytidine triphosphate (CTP) is known to modulate its DNA compaction activity. This study explored whether CTP’s regulatory effect is due to specific molecular interactions beyond its known CTP-binding pocket. Using single-molecule flow-stretching and TIRF microscopy, we showed that CTP significantly reduces DNA compaction by wild-type Bacillus subtilis ParB, while ATP has no effect, supporting the hypothesis that CTP acts through specific recognition rather than general charge. CTP’s modulatory effect persisted across C-terminal domain (CTD) lysine mutants. Compaction was reduced in wild-type and K255A but abolished in K252A and K259A. The …

Sequential Data Modeling Of Influenza A Via Traditional, Dwt-Gpr Hybrid, And Deep Learning Architectures, Edmund Fosu Agyemang

Theses and Dissertations

Influenza A is responsible for 290,000 to 650,000 respiratory deaths a year, though this estimate is an improvement from years past due to improved sanitation, healthcare practices, and vaccination programs. In this study, we perform a comparative analysis of traditional, deep-learning and discrete wavelet (DWT)-Gaussian Process (GP) hybrid models to predict Influenza A outbreaks. Using historical data from January 2009 to December 2023, we compared the performance of traditional ARIMA and ETS models, four variants of DWT-GPR models and six distinct deep learning architectures: Simple RNN, LSTM, GRU, BiLSTM, BiGRU and Transformer. The results reveal a clear superiority of all …

Contributions Of Citizen Science Data To Butterflies Of The Lower Rio Grande Valley, Akane Jazmyn Benitez

Theses and Dissertations

Citizen science-provided insect data inherently exhibits variability in accuracy. In the Lower Rio Grande Valley (LRGV), butterfly occurrence reporting is predominantly reliant on citizen science contributions. My research compared fieldwork conducted monthly over a year to occurrence records submitted by visitors at the National Butterfly Center and in Mission, Hidalgo County, Texas. I hypothesized that butterfly occurrences at the Center would be maximized during the fall and minimized during winter and summer months. My research findings revealed that butterfly taxa richness is contingent upon the following factors: 1) the impact of citizen science submitting reports, and 2) monthly butterfly activity …

The Housing Choice Voucher Program: An Analysis Of Its Demand And Supply (Challenges And Opportunities) And The Way Forward, Sethina Atsupe Dowuona-Owoo

Theses and Dissertations

In the United States, the Housing Choice Voucher Program, formerly known as Section 8, was created in 1974 to provide affordable housing for low-income families. However, recent research suggests that inaccessibility to homes for low-income groups remains high. This research aims to contribute to the existing literature by examining recent trends of the Housing Choice Voucher Program (HCVP) in providing housing affordability for low-income families.

The study used a sample of 30 U.S. states covering fifteen years (2009-2023). It relied on data from the Housing and Urban Development (HUD) department and other secondary sources. Using a mixed-methods approach, the study …

Physical Work Environments: An Integrative Review And Agenda For Future Research, Bukky Akinsanmi Oyedeji, Yea Hee Ko, Sunkee Lee

Research Collection Lee Kong Chian School Of Business

This review examines the effect of physical work environments—the dedicated, tangible spaces where employees carry out their professional tasks—on organizational processes and outcomes. We synthesize decades of research across various disciplines using a conceptual framework that defines physical work environments along three key dimensions: ambience, spatial configuration, and aesthetics. These dimensions are analyzed for their effects on both internal stakeholders, such as employees, and external stakeholders, including clients, suppliers, and investors. Our analysis reveals two major themes in prior research: (1) task accomplishment, which focuses on how physical work environments influence physical and mental health, motivation and attitudes, as well …

Improving Depression Screening For Young Adults In Outpatient Settings, Addie Smith

All Doctor of Nursing Practice (DNP) Scholarly Projects

Problem: Depression among young adults aged 25 to 35 years in the United States has been among the second highest at 19.9%. Depression underdiagnosis stems from many patient-level causes, including a lack of standardized screening, inadequate provider education, and stigma of mental illness. Untreated depression results in low quality of life, comorbidities, suicidality, and socioeconomic issues.

Aim of the Project: The aim of this project was to address the gap in practice by implementing a standardized screening process for young adults to enhance diagnoses and increase screening rates.

Review of the Evidence: A comprehensive review of the evidence …

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 …

Semi-Automated Hippocampal Avoidance Whole-Brain Radiotherapy Planning, Dong Joo Rhee, Subha Perni, Kelly J Perrin, Kevin E Casey, Alexandra O Leone, Laurence E Court, Xin Wang, Eun Young Han

Faculty, Staff and Student Publications

Background: Hippocampal avoidance whole-brain radiotherapy (HA-WBRT) is designed to spare cognitive function by reducing radiation dose to the hippocampus during the treatment of brain metastases. Current manual planning methods can be time-consuming and may vary in quality, necessitating the development of automated approaches to streamline the process and ensure consistency.

Purpose: To automate hippocampal avoidance whole-brain radiotherapy (HA-WBRT) planning.

Methods: Our algorithm automatically contours organs-at-risk (OARs) and the hippocampal-avoidance brain target. The algorithm generates planning structures from given contours, utilizing preset beam parameters and dose constraints for optimization. If the dose constraints are unmet, "hotspot" contours will be created to …

Ovarian Cancer Risk And Survival According To Tumor Sex Hormone Receptor Expression: An Ovarian Cancer Association Consortium And Ovarian Tumor Tissue Analysis Consortium Pooled Analysis, Zhuxuan Fu, Lauren Borho, Sarah E Taylor, Linda E Kelemen, Anna Defazio, Martin Köbel, Renhua Na, Antonis C Antoniou, Alison H Brand, Catherine J Kennedy, Nikilyn Nevins, Paul D P Pharoah, Yurii B Shvetsov, Stacey J Winham, Jennifer Alsop, Matthias W Beckmann, Adelyn Bolithon, Jessica Boros, David D L Bowtell, James D Brenton, Michael E Carney, Anita Chudecka-Głaz, Linda S Cook, Cezary Cybulski, Peter A Fasching, Sian Fereday, Renée T Fortner, María J García, Ellen L Goode, Marc T Goodman, Jacek Gronwald, Arndt Hartmann, Brenda Y Hernandez, Estrid Høgdall, David G Huntsman, Allan Jensen, Mercedes Jimenez-Linan, Janine M Joseph, Beth Y Karlan, Ewa Kaznowska, Susanne K Kjaer, Tomasz Kluz, Jennifer M Koziak, Jenny Lester, Teri A Longacre, Maria Lycke, Valerie Mcguire, Kirsten B Moysich, Rachel A Murphy, Sandra Orsulic, Susan J Ramus, Cristina Rodríguez-Antona, Joseph H Rothstein, Spinder Samra, Weiva Sieh, Helen Steed, Karin Sundfeldt, Aline Talhouk, Jan Uciński, Chen Wang, Nicolas Wentzensen, Alice S Whittemore, Lynne R Wilkens, Thomas Songer, Maria Mori Brooks, Lu Tang, Francesmary Modugno

Faculty, Staff and Student Publications

Objective: Many epithelial ovarian cancer (EOC) risk factors relate to sex hormones. The association between these factors and the expression of androgen receptor (AR), estrogen receptor-α (ER), and progesterone receptor (PR) in tumors is unknown.

Method: We linked epidemiologic, AR/ER/PR tumor expression, and survival data from 19 studies in the Ovarian Cancer Association Consortium (OCAC; 4762 cases, 20,888 controls) and the Ovarian Tumor Tissue Analysis (OTTA) consortium (5737 cases). We estimated odds ratios (ORs) and 95 % confidence intervals (CIs) between hormonally-linked factors and tumor AR/ER/PR expression using polytomous logistic regression. We assessed survival by AR/ER/PR tumor expression overall and …

Hyalinization-Based Pathologic Response And Immune Infiltration Following Neoadjuvant Radiotherapy With Or Without Immune-Checkpoint Blockade In Localized Undifferentiated Pleomorphic Sarcoma, R S Traweek, M Zoghbi, R Lazcano, B M Cope, A J Bishop, D Mitra, B A Guadagnolo, D R Ingram, K Wani, D Shamsutdinova, A J Lazar, W-L Wang, C P Scally, E Z Keung, K E Torres, K K Hunt, R Ratan, J A Livingston, M S Nakazawa, D M Araujo, S Patel, V Ravi, A P Conley, M A Zarzour, N Somaiah, C L Roland, E F Nassif Haddad

Faculty, Staff and Student Publications

BACKGROUND: Standard-of-care treatment of localized undifferentiated pleomorphic sarcoma (UPS) involves preoperative radiotherapy (RT) and surgery. Combination of RT with immune-checkpoint blockade (ICB) represents a promising new strategy.

METHODS: Our primary objective was to assess survival outcomes and pathologically documented response in patients receiving RT with or without ICB or chemotherapy.

RESULTS: In a retrospective cohort of 68 patients with primary or locally recurrent UPS who received neoadjuvant RT with or without ICB, the ICB group had greater tumor hyalinization than the non-ICB group (89% compared with 30%, P = 0.018). In the non-ICB group, 19/37 patients (51%) achieved hyalinization-based pathologic …

Dynamic Few-Shot Prompting For Clinical Note Section Classification Using Lightweight, Open-Source Large Language Models, William Hersh, Kirk Roberts, Hongfang Liu

Faculty, Staff and Student Publications

Objective: Unlocking clinical information embedded in clinical notes has been hindered to a significant degree by domain-specific and context-sensitive language. Identification of note sections and structural document elements has been shown to improve information extraction and dependent downstream clinical natural language processing (NLP) tasks and applications. This study investigates the viability of a dynamic example selection prompting method to section classification using lightweight, open-source large language models (LLMs) as a practical solution for real-world healthcare clinical NLP systems.

Materials and methods: We develop a dynamic few-shot prompting approach to classifying sections where section samples are first embedded using a transformer-based …