Digital Commons Network^™

Bayesian Feature Selection For Radiomics Using Reliability Metrics, Katherine Shoemaker, Rachel Ger, Laurence E Court, Hugo Aerts, Marina Vannucci

Faculty, Staff and Student Publications

Introduction: Imaging of tumors is a standard step in diagnosing cancer and making subsequent treatment decisions. The field of radiomics aims to develop imaging based biomarkers using methods rooted in artificial intelligence applied to medical imaging. However, a challenging aspect of developing predictive models for clinical use is that many quantitative features derived from image data exhibit instability or lack of reproducibility across different imaging systems or image-processing pipelines. Methods: To address this challenge, we propose a Bayesian sparse modeling approach for image classification based on radiomic features, where the inclusion of more reliable features is favored via a probit …

Head And Neck Cancer Predictive Risk Estimator To Determine Control And Therapeutic Outcomes Of Radiotherapy (Hnc-Predictor): Development, International Multi-Institutional Validation, And Web Implementation Of Clinic-Ready Model-Based Risk Stratification For Head And Neck Cancer, Lisanne V Van Dijk, Abdallah Sr Mohamed, Sara Ahmed, Nafiul Nipu, G Elisabeta Marai, Nanna M Sijtsema, Adam S Garden, Amy Moreno, Andrew J Hope, Johannes A Langendijk, Clifton D Fuller

Faculty, Staff and Student Publications

Background: Personalised radiotherapy can improve treatment outcomes of patients with head and neck cancer (HNC), where currently a 'one-dose-fits-all' approach is the standard. The aim was to establish individualised outcome prediction based on multi-institutional international 'big-data' to facilitate risk-based stratification of patients with HNC.

Methods: The data of 4611 HNC radiotherapy patients from three academic cancer centres were split into four cohorts: a training (n = 2241), independent test (n = 786), and external validation cohorts 1 (n = 1087) and 2 (n = 497). Tumour- and patient-related clinical variables were considered in a machine learning pipeline to predict overall …

Naproxen Chemoprevention Induces Proliferation Of Cytotoxic Lymphocytes In Lynch Syndrome Colorectal Mucosa, Charles M Bowen, Nan Deng, Laura Reyes-Uribe, Edwin Roger Parra, Pedro Rocha, Ignacio I Wistuba, Lana Vornik, Marjorie Perloff, Eva Szabo, Asad Umar, Krishna M Sinha, Powel H Brown, Eduardo Vilar

Faculty, Staff and Student Publications

BACKGROUND: Recent clinical trial data from Lynch Syndrome (LS) carriers demonstrated that naproxen administered for 6-months is a safe primary chemoprevention that promotes activation of different resident immune cell types without increasing lymphoid cellularity. While intriguing, the precise immune cell types enriched by naproxen remained unanswered. Here, we have utilized cutting-edge technology to elucidate the immune cell types activated by naproxen in mucosal tissue of LS patients.

METHODS: Normal colorectal mucosa samples (pre- and post-treatment) from a subset of patients enrolled in the randomized and placebo-controlled 'Naproxen Study' were obtained and subjected to a tissue microarray for image mass cytometry …

A Bibliometric And Visual Analysis Of Cancer-Associated Fibroblasts, Wei-Chen Yuan, Jie-Xiang Zhang, Hai-Bin Chen, Ying Yuan, Yu-Pei Zhuang, Mu-Han Li, Hong-Guang Zhou

Faculty, Staff and Student Publications

Background: Cancer-associated fibroblasts (CAFs) represent the predominant stromal component within the tumour microenvironment (TME), exhibiting considerable heterogeneity and plasticity that significantly impact immune response and metabolic reprogramming within the TME, thereby influencing tumour progression. Consequently, investigating CAFs is of utmost importance. The objective of this study is to employ bibliometric analysis in order to evaluate the current state of research on CAFs and predict future areas of research and emerging trends.

Methods: Conduct a comprehensive search for scholarly publications within the Web of Science Core Collection database, encompassing the time period from January 1, 2001, to December 31, 2022. Apply …

Neurocognitive Correlates Of Cerebellar Volumetric Alterations In Youth With Pediatric Bipolar Spectrum Disorders And Bipolar Offspring, Kirti Saxena, Alessio Simonetti, Christopher D Verrico, Delfina Janiri, Marco Di Nicola, Sherin Kurian, Benson Mwangi, Jair C Soares

Faculty, Staff and Student Publications

BACKGROUND: Emerging evidence points towards the involvement of the cerebellum in the processing of emotions and pathophysiology of mood disorders. However, cerebellar and related cognitive alterations in youth with pediatric bipolar disorder (PBD) and those at high risk to develop the disorder, such as bipolar offspring (BD-OFF) are not clearly defined.

OBJECTIVE: To investigate cerebellar gray and white matter volumes, cognition, and their relationship in youth with PBD and BD-OFF.

METHODS: Thirty youth (7 to 17 years, inclusive) with PBD, 30 BD-OFF and 40 healthy controls (HC) were recruited. Study participants underwent a computer-based cognitive battery assessing affective processing, executive …

Neuroanatomical Correlates Of The Late Positive Potential In Youth With Pediatric Bipolar Disorder, Alessio Simonetti, Marijn Lijffijt, Sherin Kurian, Johanna Saxena, Delfina Janiri, Giulio Carriero, Benson Mwangi, Alan C Swann, Jair C Soares

Faculty, Staff and Student Publications

BACKGROUND: The late positive potential (LPP) could be a marker of emotion dysregulation in youth with pediatric bipolar disorder (PBD). However, the neuroanatomical correlates of the LPP are still not clarified.

OBJECTIVE: To provide cortical and deep gray matter correlates of the LPP in youth, specifically, youth with PBD.

METHODS: Twenty-four 7 to 17 years-old children with PBD and 28 healthy controls (HC) underwent cortical thickness and deep gray matter volumes measurements through magnetic resonance imaging and LPP measurement elicited by passively viewing emotional faces through electroencephalography. T-tests compared group differences in LPP, cortical thickness, and deep gray matter volumes. …

Association Of Hearing Loss And Tinnitus Symptoms With Health-Related Quality Of Life Among Long-Term Oropharyngeal Cancer Survivors, Puja Aggarwal, Marc-Elie Nader, Paul W Gidley, Raj Pratihar, Shirin Jivani, Frank E Mott, Christopher Wallace Ogboe, Camille Charles, Clifton D Fuller, Stephen Y Lai, G Brandon Gunn, Erich M Sturgis, Ehab Y Hanna, Katherine A Hutcheson, Sanjay Shete

Faculty, Staff and Student Publications

BACKGROUND: This study investigated the association of hearing loss and tinnitus with overall health-related quality of life (HRQoL) among long-term oropharyngeal cancer (OPC) survivors.

METHODS: This study included OPC survivors treated between 2000 and 2013 and surveyed from September 2015 to July 2016. Hearing loss and tinnitus were measured by asking survivors to rate their "difficulty with hearing loss and/or ringing in the ears" from 0 (not present) to 10 (as bad as you can imagine). Hearing loss and tinnitus scores were categorized as follows: 0 for none, 1-4 for mild, and 5-10 for moderate to severe. The primary outcome …

Reactome Pathway Analysis From Whole-Blood Transcriptome Reveals Unique Characteristics Of Systemic Sclerosis Patients At The Preclinical Stage, Chiara Bellocchi, Xuan Wang, Marka A Lyons, Maurizio Marchini, Maurizio Lorini, Nicola Montano, Lorenzo Beretta

Faculty, Staff and Student Publications

OBJECTIVE: This study aims to characterize differential expressed pathways (DEP) in subjects with preclinical systemic sclerosis (PreSSc) characterized uniquely by Raynaud phenomenon, specific autoantibodies, and/or capillaroscopy positive for scleroderma pattern.

METHODS: Whole-blood samples from 33 PreSSc with clinical prospective data (baseline and after 4 years of follow-up) and 16 matched healthy controls (HC) were analyzed for global gene expression transcriptome analysis via RNA sequencing. Functional Analysis of Individual Microarray Expression method annotated Reactome individualized pathways. ANOVA analysis identified DEP whose predictive capability were tested in logistic regression models after extensive internal validation.

RESULTS: At 4 years, 42.4% subjects progressed (evolving …

Small Molecule Inhibitor Of Tau Self-Association In A Mouse Model Of Tauopathy: A Preventive Study In P301l Tau Jnpl3 Mice, Eliot J Davidowitz, Patricia Lopez, Heidy Jimenez, Leslie Adrien, Peter Davies

Faculty, Staff and Student Publications

Advances in tau biology and the difficulties of amyloid-directed immunotherapeutics have heightened interest in tau as a target for small molecule drug discovery for neurodegenerative diseases. Here, we evaluated OLX-07010, a small molecule inhibitor of tau self-association, for the prevention of tau aggregation. The primary endpoint of the study was statistically significant reduction of insoluble tau aggregates in treated JNPL3 mice compared with Vehicle-control mice. Secondary endpoints were dose-dependent reduction of insoluble tau aggregates, reduction of phosphorylated tau, and reduction of soluble tau. This study was performed in JNPL3 mice, which are representative of inherited forms of 4-repeat tauopathies with …

Predictive Modeling Using Shape Statistics For Interpretable And Robust Quality Assurance Of Automated Contours In Radiation Treatment Planning, Zachary T Wooten, Cenji Yu, Laurence E Court, Christine B Peterson

Faculty, Staff and Student Publications

Deep learning methods for image segmentation and contouring are gaining prominence as an automated approach for delineating anatomical structures in medical images during radiation treatment planning. These contours are used to guide radiotherapy treatment planning, so it is important that contouring errors are flagged before they are used for planning. This creates a need for effective quality assurance methods to enable the clinical use of automated contours in radiotherapy. We propose a novel method for contour quality assurance that requires only shape features, making it independent of the platform used to obtain the images. Our method uses a random forest …

Anti-Inflammatory Effects Of Vagus Nerve Stimulation In Pediatric Patients With Epilepsy, Supender Kaur, Nathan R Selden, Alejandro Aballay

Faculty, Staff and Student Publications

INTRODUCTION: The neural control of the immune system by the nervous system is critical to maintaining immune homeostasis, whose disruption may be an underlying cause of several diseases, including cancer, multiple sclerosis, rheumatoid arthritis, and Alzheimer's disease.

METHODS: Here we studied the role of vagus nerve stimulation (VNS) on gene expression in peripheral blood mononuclear cells (PBMCs). Vagus nerve stimulation is widely used as an alternative treatment for drug-resistant epilepsy. Thus, we studied the impact that VNS treatment has on PBMCs isolated from a cohort of existing patients with medically refractory epilepsy. A comparison of genome-wide changes in gene expression …

A Bayesian Piecewise Exponential Phase Ii Design For Monitoring A Time-To-Event Endpoint, Yun Qing, Peter F Thall, Ying Yuan

Faculty, Staff and Student Publications

A robust Bayesian design is presented for a single-arm phase II trial with an early stopping rule to monitor a time to event endpoint. The assumed model is a piecewise exponential distribution with non-informative gamma priors on the hazard parameters in subintervals of a fixed follow up interval. As an additional comparator, we also define and evaluate a version of the design based on an assumed Weibull distribution. Except for the assumed models, the piecewise exponential and Weibull model based designs are identical to an established design that assumes an exponential event time distribution with an inverse gamma prior on …

Distinct Patterns Of Auto-Reactive Antibodies Associated With Organ-Specific Immune-Related Adverse Events, Mehmet Altan, Quan-Zhen Li, Qi Wang, Natalie I Vokes, Ajay Sheshadri, Chengsong Zhu, Saumil Gandhi, Mara B Antonoff, Stephen Swisher, Jing Wang, Lauren A Byers, Noha Abdel-Wahab, Maria C Franco-Vega, Yinghong Wang, J Jack Lee, Jianjun Zhang, John V Heymach

Faculty, Staff and Student Publications

UNLABELLED: The roles of preexisting auto-reactive antibodies in immune-related adverse events (irAEs) associated with immune checkpoint inhibitor therapy are not well defined. Here, we analyzed plasma samples longitudinally collected at predefined time points and at the time of irAEs from 58 patients with immunotherapy naïve metastatic non-small cell lung cancer treated on clinical protocol with ipilimumab and nivolumab. We used a proteomic microarray system capable of assaying antibody reactivity for IgG and IgM fractions against 120 antigens for systemically evaluating the correlations between auto-reactive antibodies and certain organ-specific irAEs. We found that distinct patterns of auto-reactive antibodies at baseline were …

Il-33 Mediates Pseudomonas Induced Airway Fibrogenesis And Is Associated With Clad, Jon Finan, Archit Kumar, Daniel E Rinewalt, Hilary J Goldberg, Ann Woolley, Hari Reddy Mallidi, Gary Visner, Amit Gaggar, Kapil N Patel, Nirmal S Sharma

Faculty, Staff and Student Publications

BACKGROUND: Long term outcomes of lung transplantation are impacted by the occurrence of chronic lung allograft dysfunction (CLAD). Recent evidence suggests a role for the lung microbiome in the occurrence of CLAD, but the exact mechanisms are not well defined. We hypothesize that the lung microbiome inhibits epithelial autophagic clearance of pro-fibrotic proteins in an IL-33 dependent manner, thereby augmenting fibrogenesis and risk for CLAD.

METHODS: Autopsy derived CLAD and non-CLAD lungs were collected. IL-33, P62 and LC3 immunofluorescence was performed and assessed using confocal microscopy. Pseudomonas aeruginosa (PsA), Streptococcus Pneumoniae (SP), Prevotella Melaninogenica (PM), recombinant IL-33 or PsA-lipopolysaccharide was …

Interpersonal Violence Against Women With Spinal Cord Injury: Adding Insult To Injury, Heather B Taylor

Faculty, Staff and Student Publications

BACKGROUND: Mounting empirical evidence suggests that, compared to women without disabilities, women with disabilities are more likely to experience interpersonal violence (IPV). However, there is extremely limited research attention on IPV against women with spinal cord injury (SCI), a particularly understudied and underserved population.

OBJECTIVES: To conduct the first known examination of lifetime IPV experience in women with SCI, to explore demographic and disability-related correlates of IPV, and to examine the health impacts of IPV.

METHODS: The sample included 175 women with traumatic SCI from across the United States who enrolled in a randomized controlled trial of an online psychological …

Association Between Brain Similarity To Severe Mental Illnesses And Comorbid Cerebral, Physical, And Cognitive Impairments, Xiaoming Du, Kathryn S Hatch, Si Gao, Ann Summerfelt, Neda Jahanshad, Paul M Thompson, Thomas E Nichols, L Elliot Hong, Peter Kochunov

Faculty, Staff and Student Publications

Severe mental illnesses (SMIs) are often associated with compromised brain health, physical comorbidities, and cognitive deficits, but it is incompletely understood whether these comorbidities are intrinsic to SMI pathophysiology or secondary to having SMIs. We tested the hypothesis that cerebral, cardiometabolic, and cognitive impairments commonly observed in SMIs can be observed in non-psychiatric individuals with SMI-like brain patterns of deviation as seen on magnetic resonance imaging. 22,883 participants free of common neuropsychiatric conditions from the UK Biobank (age = 63.4 ± 7.5 years, range = 45–82 years, 50.9% female) were split into discovery and replication samples. The regional vulnerability index …

A Phase 3b Study For Management Of Ocular Side Effects In Patients With Epidermal Growth Factor Receptor-Amplified Glioblastoma Receiving Depatuxizumab Mafodotin, Ryan Merrell, Emma Kennedy, Madhavi Pai, Earle Bain, Andrew B Lassman, Golnaz Moazami

Faculty, Staff and Student Publications

INTRODUCTION: The Understanding New Interventions with GBM ThErapy (UNITE) study was designed to assess the effect of prophylaxis for ocular side effects (OSEs) in patients with glioblastoma receiving the antibody-drug conjugate (ADC) depatuxizumab mafodotin. UNITE (NCT03419403) was a phase 3b, open-label, randomized, exploratory study performed at 18 research sites in 5 countries.

METHODS: The study enrolled adult patients with epidermal growth factor receptor-amplified, histologically confirmed, newly diagnosed supratentorial glioblastoma or grade IV gliosarcoma, and a Karnofsky Performance Status ≥70, receiving depatuxizumab mafodotin. All patients were administered depatuxizumab mafodotin during concurrent radiotherapy and temozolomide and with adjuvant temozolomide. Ninety patients were …

Return To Sport Following Acl Reconstruction With Slope-Correcting High Tibial Osteotomy In The Elite Athlete, Jacquelyn Kleihege

Faculty, Staff and Student Publications

Background: Increased posterior tibial slope is a strong predictor of anterior cruciate ligament (ACL) graft re-injury. A concomitant slope-reducing high tibial osteotomy (HTO) has been suggested to decrease re-tear risk in these cases although little is known regarding outcomes following ACL reconstruction with HTO, especially in elite athletic patients.

Indications: A 19-year-old National Collegiate Athletics Association (NCAA) Division 1 running back presented with an ACL tear, lateral meniscus tear, and posterior tibial slope of 19° (case 1). A 19-year-old NCAA Division 1 soccer forward presented with an ACL graft re-tear and posterior tibial slope of 21° (case 2).

Technique: Anterior …

Novel Psychiatric Disorder 6 Months After Traumatic Brain Injury In Children And Adolescents, Linda Ewing-Cobbs, Elisabeth A Wilde, Ann E Saunders, Tony T Yang, Olga Tymofiyeva, Harvey S Levin

Faculty, Staff and Student Publications

OBJECTIVE: To investigate the factors predictive of novel psychiatric disorders in the interval 0-6 months following traumatic brain injury (TBI).

METHODS: Children ages 5-14 years consecutively hospitalized for mild to severe TBI at five hospitals were recruited. Participants were evaluated at baseline (soon after injury) for pre-injury characteristics including psychiatric disorders, socioeconomic status (SES), psychosocial adversity, family function, family psychiatric history, and adaptive function. In addition to the psychosocial variables, injury severity and lesion location detected with acquisition of a research MRI were measured to develop a biopsychosocial predictive model for development of novel psychiatric disorders. Psychiatric outcome, including occurrence …

Delayed Presentation Of Berardinelli-Siep Lipodystrophy In An Adolescent Female

Faculty, Staff and Student Publications

Berardinelli-Siep syndrome (BSS) is a form of congenital generalized lipodystrophy that disrupts the pathways of lipid metabolism. It presents with physical exam findings, including muscular hypertrophy and lipoatrophy as well as serious metabolic consequences such as diabetes mellitus, hypertriglyceridemia, acute pancreatitis, hepatomegaly, and hepatic steatosis. Diagnosis generally occurs soon after birth or in childhood. The case presented is significant for a delayed diagnosis of suspected BSS Type 1 which is rather uncommon in a developed country. Due to the detrimental complications of BSS, such as hypertrophic cardiomyopathy, pancreatitis, and liver disease, early diagnosis and intervention are crucial. Pediatric providers must …

Not Just A Pain: A Medical Simulation Case About Biased Communication And Osteomyelitis In Pediatric Sickle Cell Anemia

Faculty, Staff and Student Publications

Introduction

Biases in communication can be harmful to patient perceptions of care and the medical team's decision-making. Optimal communication must be taught and practiced similarly to the optimal management of the complex medical conditions associated with sickle cell disease (SCD). This simulation is designed to teach about biases, optimizing communication to and about a patient with SCD, and appropriately diagnosing and managing pediatric osteomyelitis as a complication of SCD.

Methods

We designed and implemented a simulation case targeting emergency medicine residents and fellows to raise awareness about biases associated with SCD care and the complication of osteomyelitis in children with …

Disrupted Ca2+ Homeostasis And Immunodeficiency In Patients With Functional Ip3 Receptor Subtype 3 Defects, Taylor R Knebel, Margaux Gerbaux, Mathijs Willemsen, John S Barber, Irina I Serysheva, Liesbeth De Waele, François Vermeulen, Susan Schlenner, Isabelle Meyts, David I Yule, Geert Bultynck, Rik Schrijvers, Stephanie Humblet-Baron, Adrian Liston

Faculty, Staff and Student Publications

Calcium signaling is essential for lymphocyte activation, with genetic disruptions of store-operated calcium (Ca2+) entry resulting in severe immunodeficiency. The inositol 1,4,5-trisphosphate receptor (IP3R), a homo- or heterotetramer of the IP3R1-3 isoforms, amplifies lymphocyte signaling by releasing Ca2+ from endoplasmic reticulum stores following antigen stimulation. Although knockout of all IP3R isoforms in mice causes immunodeficiency, the seeming redundancy of the isoforms is thought to explain the absence of variants in human immunodeficiency. In this study, we identified compound heterozygous variants of ITPR3 (a gene encoding IP3R subtype 3) in two unrelated Caucasian patients presenting with immunodeficiency. To determine whether ITPR3 …

Henry Gas Solubility Optimization Double Machine Learning Classifier For Neurosurgical Patients, Shaker El-Sappagh

Faculty, Staff and Student Publications

This study aims to predict head trauma outcome for Neurosurgical patients in children, adults, and elderly people. As Machine Learning (ML) algorithms are helpful in healthcare field, a comparative study of various ML techniques is developed. Several algorithms are utilized such as k-nearest neighbor, Random Forest (RF), C4.5, Artificial Neural Network, and Support Vector Machine (SVM). Their performance is assessed using anonymous patients' data. Then, a proposed double classifier based on Henry Gas Solubility Optimization (HGSO) is developed with Aquila optimizer (AQO). It is implemented for feature selection to classify patients' outcome status into four states. Those are mortality, morbidity, …

Open Treatments For Thoracoabdominal Aortic Aneurysm Repair

Faculty, Staff and Student Publications

Thoracoabdominal aortic aneurysms (TAAA) represent a unique pathology that is associated with considerable mortality if untreated. While the advent of endovascular technologies has introduced new modalities for consideration, the mainstay of TAAA treatment remains open surgical repair. However, the optimal conduct of open TAAA repair requires careful consideration of patient risk factors and a collaborative team effort to mitigate the risk of perioperative complications. In this chapter, we briefly outline the history of treating TAAA, preoperative preparation and postoperative care, and our operative techniques for treatment.

The Role Of Non-Coding Rnas In Chromosomal Instability In Cancer, Swati Mohapatra, Melanie Winkle, Anh N Ton, Dien Nguyen, George A Calin

Faculty, Staff and Student Publications

Chromosomal instability (CIN) is characterized by an increased frequency of changes in chromosome structure or number and is regarded as a hallmark of cancer. CIN plays a prevalent role in tumorigenesis and cancer progression by assisting the cancer cells' phenotypic adaptation to stress, which have been tightly linked to therapy resistance and metastasis. Both CIN-inducing and CIN-repressing agents are being clinically tested for the treatment of cancer to increase CIN levels to unsustainable levels leading to cell death or to decrease CIN levels to limit the development of drug resistance, respectively. Non-coding RNAs (ncRNAs) including microRNAs and long ncRNAs (lncRNAs) …

The Assembled Genome Of The Stroke-Prone Spontaneously Hypertensive Rat, Theodore S Kalbfleisch, Nahla A Hussien Abouel Ela, Kai Li, Wesley A Brashear, Kelli J Kochan, Yaming Zhu, Eric J Kline, Elizabeth A Hudson, Terence D Murphy, Françoise Thibaud-Nissen, Melissa L Smith, Peter A Doris

Faculty, Staff and Student Publications

BACKGROUND: We report the creation and evaluation of a de novo assembly of the genome of the spontaneously hypertensive rat, the most widely used model of human cardiovascular disease.

METHODS: The genome is assembled from long read sequencing (PacBio HiFi and continuous long read data [CLR]) and scaffolded with long-range structural information obtained from Bionano optical maps and proximity ligation sequencing proximity analysis of the genome. The genome assembly was polished with Illumina short reads. Completeness of the assembly was investigated using Benchmarking Universal Single Copy Orthologs analysis. The genome assembly was also evaluated with the rat reference gene set, …

The Interplay Between Neoantigens And Immune Cells In Sarcomas Treated With Checkpoint Inhibition, Irantzu Anzar, Brandon Malone, Pubudu Samarakoon, Ioannis Vardaxis, Boris Simovski, Leonardo A Meza-Zepeda, Emily Z Keung, Melissa Burgess, Hussein A Tawbi, Ola Myklebost, Trevor Clancy

Faculty, Staff and Student Publications

INTRODUCTION: Sarcomas are comprised of diverse bone and connective tissue tumors with few effective therapeutic options for locally advanced unresectable and/or metastatic disease. Recent advances in immunotherapy, in particular immune checkpoint inhibition (ICI), have shown promising outcomes in several cancer indications. Unfortunately, ICI therapy has provided only modest clinical responses and seems moderately effective in a subset of the diverse subtypes.

METHODS: To explore the immune parameters governing ICI therapy resistance or immune escape, we performed whole exome sequencing (WES) on tumors and their matched normal blood, in addition to RNA-seq from tumors of 31 sarcoma patients treated with pembrolizumab. …

Accelerating Artificial Intelligence: How Federated Learning Can Protect Privacy, Facilitate Collaboration, And Improve Outcomes, Malhar Patel, Ittai Dayan, Elliot K Fishman, Mona Flores, Fiona J Gilbert, Eugene J Koay, Holger R Roth, Marius G Linguraru

Faculty, Staff and Student Publications

Cross-institution collaborations are constrained by data-sharing challenges. These challenges hamper innovation, particularly in artificial intelligence, where models require diverse data to ensure strong performance. Federated learning (FL) solves data-sharing challenges. In typical collaborations, data is sent to a central repository where models are trained. With FL, models are sent to participating sites, trained locally, and model weights aggregated to create a master model with improved performance. At the 2021 Radiology Society of North America's (RSNA) conference, a panel was conducted titled "Accelerating AI: How Federated Learning Can Protect Privacy, Facilitate Collaboration and Improve Outcomes." Two groups shared insights: researchers from …

Epilepsy Center Characteristics And Geographic Region Influence Presurgical Testing In The United States, Kevin E Chapman, Nathan B Fountain, Jay R Gavvala, M Scott Perry, Kyle C Rossi, Lily C Wong-Kisiel, Susan T Herman, Adam P Ostendorf, Naec Center Director Study Group

Faculty, Staff and Student Publications

bjective

Persons with drug‐resistant epilepsy may benefit from epilepsy surgery and should undergo presurgical testing to determine potential candidacy and appropriate intervention. Institutional expertise can influence use and availability of evaluations and epilepsy surgery candidacy. This census survey study aims to examine the influence of geographic region and other center characteristics on presurgical testing for medically intractable epilepsy.

Methods

We analyzed annual report and supplemental survey data reported in 2020 from 206 adult epilepsy center directors and 136 pediatric epilepsy center directors in the United States. Test utilization data were compiled with annual center volumes, available resources, and US Census …

Population-Based Mini-Mental State Examination Norms In Adults Of Mexican Heritage In The Cameron County Hispanic Cohort, Christine M Farrell, Omar Hasan, Susan Cooper, Lois Sciba, Amanda Falk Vargas, David H Hunter, Guadalupe J Ortiz, Karen Chung, Licong Cui, Guo-Qiang Zhang, Susan P Fisher-Hoch, Joseph B Mccormick, Paul E Schulz

Faculty, Staff and Student Publications

Background:

Accurately identifying cognitive changes in Mexican American (MA) adults using the Mini-Mental State Examination (MMSE) requires knowledge of population-based norms for the MMSE, a scale which has widespread use in research settings.

Objective:

To describe the distribution of MMSE scores in a large cohort of MA adults, assess the impact of MMSE requirements on their clinical trial eligibility, and explore which factors are most strongly associated with their MMSE scores.

Methods:

Visits between 2004–2021 in the Cameron County Hispanic Cohort were analyzed. Eligible participants were ≥18 years old and of Mexican descent. MMSE distributions before and after stratification by …