Medicine and Health Sciences Commons^™

Protecting Low-Income Consumers In The Era Of Digital Grocery Shopping: Implications For Wic Online Ordering, Qi Zhang, Priyanka Patel, Caitlin M. Lowery

Community & Environmental Health Faculty Publications

The Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) is now expected to allow participants to redeem their food benefits online, i.e., via online ordering, rather than only in-store. However, it is unclear how this new benefit redemption model may impact participants’ welfare since vendors may have an asymmetric information advantage compared with WIC customers. The WIC online ordering environment may also change the landscape for WIC vendors, which will eventually affect WIC participants. To protect WIC consumers’ rights in the new online ordering model, policymakers need an appropriate legal and regulatory framework. This narrative review provides that …

Virtual Home Visits During Covid-19 Pandemic: Mothers' And Home Visitors' Perspectives, Abdullah Al-Taiar, Michele A. Kekeh, Stephanie Ewers, Amy L. Prusinski, Kimberly J. Alombro, Nancy Welch

Community & Environmental Health Faculty Publications

Background

The experiences of mothers enrolled in Maternal, Infant and Early Childhood Home Visiting (MIECHV) program with virtual home visiting (VHV) during the pandemic remain mostly unknown. This study aimed to describe in detail the experience of home visitors and mothers with VHV during COVID-19 pandemic. This is a prerequisite for guiding future efforts to optimize MIECHV services that are provided through virtual operation.

Methods

Focus groups discussion were conducted with home visitors (n = 13) and mothers (n = 30) who were enrolled in BabyCare program in Virginia from January 2019 to June 2022. This included mothers who received …

Genotype-Phenotype Correlation In Patients With 21-Hydroxylase Deficiency., Peng Tang, Jun Zhang, Song Peng, Yapeng Wang, Haoyang Li, Ze Wang, Yao Zhang, Yiqiang Huang, Jing Xu, Dianzheng Zhang, Qiuli Liu, Luofu Wang, Weihua Lan, Jun Jiang

PCOM Scholarly Works

INTRODUCTION: 21-hydroxylase deficiency (21OHD) is the most common cause of congenital adrenal hyperplasia (CAH). However, patients with 21OHD manifest various phenotypes due to a wide-spectrum residual enzyme activity of different CYP21A2 mutations.

METHODS: A total of 15 individuals from three unrelated families were included in this study. Target Capture-Based Deep Sequencing and Restriction Fragment Length Polymorphism was conducted on peripheral blood DNA of the three probands to identify potential mutations/deletions in CYP21A2; Sanger sequencing was conducted with the DNA from the family members of the probands.

RESULTS: Dramatically different phenotypes were seen in the three probands of CAH with different …

Community Socioeconomic And Urban-Rural Differences In Emergency Medical Services Times For Suspected Stroke In North Carolina, Srihari V Chari, Eric R Cui, Haylie E Fehl, Antonio R Fernandez, Jane H Brice, Mehul D Patel

Faculty, Staff and Student Publications

OBJECTIVE: Our objectives were to describe time intervals of EMS encounters for suspected stroke patients in North Carolina (NC) and evaluate differences in EMS time intervals by community socioeconomic status (SES) and rurality.

METHODS: This cross-sectional study used statewide data on EMS encounters of suspected stroke in NC in 2019. Eligible patients were adults requiring EMS transport to a hospital following a 9-1-1 call for stroke-like symptoms. Incident street addresses were geocoded to census tracts and linked to American Community Survey SES data and to rural-urban commuting area (RUCA) codes. Community SES was defined as high, medium, or low based …

Il-33 Mediates Pseudomonas Induced Airway Fibrogenesis And Is Associated With Clad, Mudassir M Banday, Sangeetha B Rao, Shruthi Shankar, Mudasir A Khanday, Jon Finan, Edward O'Neill, Antonio Coppolino, Andreas Seyfang, 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 …

Researching Covid To Enhance Recovery (Recover) Pregnancy Study: Rationale, Objectives And Design, Torri D Metz, Rebecca G Clifton, Richard Gallagher, Rachel S Gross, Leora I Horwitz, Vanessa L Jacoby, Susanne P Martin-Herz, Myriam Peralta-Carcelen, Harrison T Reeder, Carmen J Beamon, James Chan, A Ann Chang, Maged M Costantine, Megan L Fitzgerald, Andrea S Foulkes, Kelly S Gibson, Nick Güthe, Mounira Habli, David N Hackney, Matthew K Hoffman, M Camille Hoffman, Brenna L Hughes, Stuart D Katz, Victoria Laleau, Gail Mallett, Hector Mendez-Figueroa, Vanessa Monzon, Anna Palatnik, Kristy T S Palomares, Samuel Parry, Christian M Pettker, Beth A Plunkett, Athena Poppas, Uma M Reddy, Dwight J Rouse, George R Saade, Grecio J Sandoval, Shannon M Schlater, Frank C Sciurba, Hyagriv N Simhan, Daniel W Skupski, Amber Sowles, Tanayott Thaweethai, Gelise L Thomas, John M Thorp, Alan T Tita, Steven J Weiner, Samantha Weigand, Lynn M Yee, Valerie J Flaherman

Faculty, Staff and Student Publications

IMPORTANCE: Pregnancy induces unique physiologic changes to the immune response and hormonal changes leading to plausible differences in the risk of developing post-acute sequelae of SARS-CoV-2 (PASC), or Long COVID. Exposure to SARS-CoV-2 during pregnancy may also have long-term ramifications for exposed offspring, and it is critical to evaluate the health outcomes of exposed children. The National Institutes of Health (NIH) Researching COVID to Enhance Recovery (RECOVER) Multi-site Observational Study of PASC aims to evaluate the long-term sequelae of SARS-CoV-2 infection in various populations. RECOVER-Pregnancy was designed specifically to address long-term outcomes in maternal-child dyads.

METHODS: RECOVER-Pregnancy cohort is a …

Public Health Interventions Guided By Houston’S Wastewater Surveillance Program During The Covid-19 Pandemic, Loren Hopkins, Katherine B Ensor, Lauren Stadler, Catherine D Johnson, Rebecca Schneider, Kaavya Domakonda, James J Mccarthy, Edward J Septimus, David Persse, Stephen L Williams

Faculty, Staff and Student Publications

Since the start of the COVID-19 pandemic, wastewater surveillance has emerged as a powerful tool used by public health authorities to track SARS-CoV-2 infections in communities. In May 2020, the Houston Health Department began working with a coalition of municipal and academic partners to develop a wastewater monitoring and reporting system for the city of Houston, Texas. Data collected from the system are integrated with other COVID-19 surveillance data and communicated through different channels to local authorities and the general public. This information is used to shape policies and inform actions to mitigate and prevent the spread of COVID-19 at …

A Scoping Review Of Workplace Health Promotion Interventions For Chronic Diseases In Australia, Leonie Arnold, Katherine Harris, Victoria Weale

Faculty, Staff and Student Publications

OBJECTIVE: The aim of this study is to systematically chart and summarize the literature pertaining to workplace health promotion (WHP) interventions targeting the five main modifiable lifestyle risk factors for chronic disease, including smoking, nutrition, alcohol, physical activity, overweight/obesity (SNAPO) in Australian workers.

METHODS: A scoping review was performed using the framework of Arksey and O'Malley. MEDLINE, EMBASE, CINAHL, and SCOPUS were searched to identify peer-reviewed publications that evaluated primary or secondary WHP interventions which targeted one or more modifiable risk factor (SNAPO).

RESULTS: A total of fifty-six articles were included in the review. The findings revealed a heterogeneous nature …

Feasibility Of Mediastinal Radiation Use In Heartmate 3 Lvad Recipients With Cancer., Nausharwan Butt, Farooq H Sheikh

Division of Cardiology Faculty Papers

The HeartMate 3 left ventricular assist device possesses the unique feature of having its electronics and software located within the housing of the pump, which may predispose it to malfunction from radiation exposure during cancer treatment. We investigated this association in a case series of two patients at our institution.

Old, Nonagenarians, And Centenarians In Cilento, Italy And The Association Of Lifespan With The Level Of Some Physicochemical Elements In Tap Drinking Water., Silvana Mirella Aliberti, Richard H W Funk, Elena Ciaglia, Joseph S. Gonnella, Aldo Giudice, Carmine Vecchione, Annibale Alessandro Puca, Mario Capunzo

Department of Medicine Faculty Papers

Longevity, as a complex life-history trait, shares an ontogenetic relationship with other quantitative traits, such as epigenetic and environmental factors. Therefore, it is important to identify environmental factors that may modify the epigenome to establish healthy aging. This study explored the association between tap drinking water and longevity in Cilento, Italy, to understand whether trace elements in local drinking water may have an influence on old, nonagenarian, and centenarian people and promote their health and longevity. Data on population and water sources were collected through the National Demographic Statistics, the Cilento Municipal Archives, and the Cilento Integrated Water Service. Ordinary …

Reply To Tannenbaum Et Al.: Constructive Dialogue Advancing Research On Civic Honesty, Weiwei Zhang, Yacheng Sun, Shiyong Liu, Xinyue Zhou, Qian Yang, Qi Zhang

Community & Environmental Health Faculty Publications

No abstract provided.

Effect Of Positive Emotion Intervention During Late Pregnancy On Improving Colostrum Secretion: A Randomised Control Trial Protocol, Kechen Xu, Ying Xie, Xiujun Han, Ying Yu, Suqing Liu, Suliu Wu, Qian Yang, Qi Zhang

Community & Environmental Health Faculty Publications

Introduction Though evidence has revealed the beneficial effects of cognitive improvement interventions on breastfeeding, the effect of psychological interventions has rarely been studied. This study aims to test whether promoting a positive emotion intervention, 'Three Good Things' intervention, during the last trimester of pregnancy can enhance early colostrum secretion and breastfeeding behaviours by modulating the hormones associated with lactation (prolactin and insulin-like growth factor I). We will attempt to promote exclusive breastfeeding by using physiological behavioural measures.

Methods and analysis This study is designed as a randomised controlled trial conducted in the Women's Hospital School of Medicine at Zhejiang University …

Multi-Task Learning For Post-Transplant Cause Of Death Analysis: A Case Study On Liver Transplant, Sirui Ding, Qiaoyu Tan, Chia-Yuan Chang, Na Zou, Kai Zhang, Nathan R Hoot, Xiaoqian Jiang, Xia Hu

Faculty, Staff and Student Publications

Organ transplant is the essential treatment method for some end-stage diseases, such as liver failure. Analyzing the post-transplant cause of death (CoD) after organ transplant provides a powerful tool for clinical decision making, including personalized treatment and organ allocation. However, traditional methods like Model for End-stage Liver Disease (MELD) score and conventional machine learning (ML) methods are limited in CoD analysis due to two major data and model-related challenges. To address this, we propose a novel framework called CoD-MTL leveraging multi-task learning to model the semantic relationships between various CoD prediction tasks jointly. Specifically, we develop a novel tree distillation …

Interprofessional Team Collaboration For Routine And Emergent Mental Health Concerns Among Collegiate Student-Athletes: A Case Series From The Association For Athletic Training Education Research Network, Lindsey E. Eberman, Tara A. Armstrong, Elizabeth R. Neil, Jessica L. Kirby, Korrin M. Vanderhoof, Stacy E. Walker

Rehabilitation Sciences Faculty Publications

Collegiate student-athletes experience an increasing number of mental health concerns. To help address these concerns and provide high-quality health care for student-athletes, institutions of higher education are being encouraged to create interprofessional health care teams that are specifically dedicated to managing mental health. We interviewed 3 interprofessional health care teams who collaborate to manage routine and emergency mental health conditions in collegiate student-athletes. Teams represented all 3 National Collegiate Athletics Association (NCAA) divisions and included athletic trainers, clinical psychologists, psychiatrists, dietitians and nutritionists, social workers, nurses, and physician assistants (associates). The interprofessional teams indicated that the existing NCAA recommendations helped …

Use Gpt-J Prompt Generation With Roberta For Ner Models On Diagnosis Extraction Of Periodontal Diagnosis From Electronic Dental Records, Yao-Shun Chuang, Xiaoqian Jiang, Chun-Teh Lee, Ryan Brandon, Duong Tran, Oluwabunmi Tokede, Muhammad F Walji

Faculty, Staff and Student Publications

This study explored the usability of prompt generation on named entity recognition (NER) tasks and the performance in different settings of the prompt. The prompt generation by GPT-J models was utilized to directly test the gold standard as well as to generate the seed and further fed to the RoBERTa model with the spaCy package. In the direct test, a lower ratio of negative examples with higher numbers of examples in prompt achieved the best results with a F1 score of 0.72. The performance revealed consistency, 0.92-0.97 in the F1 score, in all settings after training with the RoBERTa model. …

Towards Fair Patient-Trial Matching Via Patient-Criterion Level Fairness Constraint, Chia-Yuan Chang, Jiayi Yuan, Sirui Ding, Qiaoyu Tan, Kai Zhang, Xiaoqian Jiang, Xia Hu, Na Zou

Faculty, Staff and Student Publications

Clinical trials are indispensable in developing new treatments, but they face obstacles in patient recruitment and retention, hindering the enrollment of necessary participants. To tackle these challenges, deep learning frameworks have been created to match patients to trials. These frameworks calculate the similarity between patients and clinical trial eligibility criteria, considering the discrepancy between inclusion and exclusion criteria. Recent studies have shown that these frameworks outperform earlier approaches. However, deep learning models may raise fairness issues in patient-trial matching when certain sensitive groups of individuals are underrepresented in clinical trials, leading to incomplete or inaccurate data and potential harm. To …

The Kynurenine Pathway In Alzheimer’S Disease: A Meta-Analysis Of Central And Peripheral Levels, Brisa S Fernandes, Mehmet Enes Inam, Nitesh Enduru, Joao Quevedo, Zhongming Zhao

Faculty, Staff and Student Publications

OBJECTIVE: Changes in the kynurenine pathway are recognized in psychiatric disorders, but their role in Alzheimer's disease (AD) is less clear. We aimed to conduct a systematic review and meta-analysis to determine whether tryptophan and kynurenine pathway metabolites are altered in AD.

METHODS: We performed a systematic review and random-effects meta-analyses. Inclusion criteria were studies that compared AD and cognitively normal (CN) groups and assessed tryptophan or kynurenine pathway metabolites in cerebrospinal fluid or peripheral blood.

RESULTS: Twenty-two studies with a total of 1,356 participants (664 with AD and 692 CN individuals) were included. Tryptophan was decreased only in peripheral …

The Short- And Long-Term Readmission Of Four Major Categories Of Digestive System Cancers: Does Obesity Or Metabolic Disorder Matter?, Yan Li, Xiaoqin Wu, Yongfeng Song, Peipei Wang, Bofei Zhang, Bingzhou Guo, Ziwei Liu, Yafei Wu, Shanshan Shao, Yiping Cheng, Honglin Guo, Xiude Fan, Jiajun Zhao

Faculty, Staff and Student Publications

Purpose: Patients with digestive system cancers (DSCs) are at a high risk for hospitalizations; however, the risk factors for readmission remain unknown. Here, we established a retrospective cohort study to assess the association between metabolic obesity phenotypes and readmission risks of DSC.

Experimental design: A total of 142,753 and 74,566 patients at index hospitalization were ultimately selected from the Nationwide Readmissions Database (NRD) 2018 to establish the 30-day and 180-day readmission cohorts, respectively. The study population was classified into four groups: metabolically healthy non-obese (MHNO), metabolically healthy obese (MHO), metabolically unhealthy non-obese (MUNO), and metabolically unhealthy obese (MUO). Multivariate Cox …

Integrated Clinical Genotype-Phenotype Characteristics Of Early T-Cell Precursor Acute Lymphoblastic Leukemia, Matthew T Ye, Yi Wang, Zhuang Zuo, Steliana Calin, Hua He, Zhenya Tang, Elias J Jabbour, Gautam Borthakur, Yizhuo Zhang, Yaling Yang, M James You

Faculty, Staff and Student Publications

Background: Early T-cell precursor acute lymphoblastic leukemia (ETP-ALL) is a distinct subtype of T-ALL with a unique immunophenotype and high treatment failure rate. The molecular genetic abnormalities and their prognostic impact in ETP-ALL patients are poorly understood.

Methods: The authors performed systematic analyses of the clinicopathologic features with an emphasis on molecular genetic aspects of 32 patients with ETP-ALL.

Results: The median age was 43 years (range, 16-71). The blasts were positive for cytoplasmic CD3 and CD7 and negative for CD1a and CD8. Other markers expressed included CD34 (88%), CD33 (72%), CD117 (68%), CD13 (58%), CD5 (partial, 56%), CD2 (38%), …

Ribonuclease 1 Enhances Antitumor Immunity Against Breast Cancer By Boosting T Cell Activation, Ying-Nai Wang, Heng-Huan Lee, Zhou Jiang, Li-Chuan Chan, Gabriel N Hortobagyi, Dihua Yu, Mien-Chie Hung

Faculty, Staff and Student Publications

The secretory enzyme human ribonuclease 1 (RNase1) is involved in innate immunity and anti-inflammation, achieving host defense and anti-cancer effects; however, whether RNase1 contributes to adaptive immune response in the tumor microenvironment (TME) remains unclear. Here, we established a syngeneic immunocompetent mouse model in breast cancer and demonstrated that ectopic RNase1 expression significantly inhibited tumor progression. Overall changes in immunological profiles in the mouse tumors were analyzed by mass cytometry and showed that the RNase1-expressing tumor cells significantly induced CD4+ Th1 and Th17 cells and natural killer cells and reduced granulocytic myeloid-derived suppressor cells, supporting that RNase1 favors an antitumor …

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, Luisa M Solis, Ignacio I Wistuba, Valerie O Sepeda, 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 …

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, Jianjun Gao, Chengsong Zhu, Hai T Tran, 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 …

Sensitive Data Detection With High-Throughput Machine Learning Models In Electrical Health Records, Kai Zhang, Xiaoqian Jiang

Faculty, Staff and Student Publications

In the era of big data, there is an increasing need for healthcare providers, communities, and researchers to share data and collaborate to improve health outcomes, generate valuable insights, and advance research. The Health Insurance Portability and Accountability Act of 1996 (HIPAA) is a federal law designed to protect sensitive health information by defining regulations for protected health information (PHI). However, it does not provide efficient tools for detecting or removing PHI before data sharing. One of the challenges in this area of research is the heterogeneous nature of PHI fields in data across different parties. This variability makes rule-based …

Large Language Models For Healthcare Data Augmentation: An Example On Patient-Trial Matching, Jiayi Yuan, Ruixiang Tang, Xiaoqian Jiang, Xia Hu

Faculty, Staff and Student Publications

The process of matching patients with suitable clinical trials is essential for advancing medical research and providing optimal care. However, current approaches face challenges such as data standardization, ethical considerations, and a lack of interoperability between Electronic Health Records (EHRs) and clinical trial criteria. In this paper, we explore the potential of large language models (LLMs) to address these challenges by leveraging their advanced natural language generation capabilities to improve compatibility between EHRs and clinical trial descriptions. We propose an innovative privacy-aware data augmentation approach for LLM-based patient-trial matching (LLM-PTM), which balances the benefits of LLMs while ensuring the security …

Split Learning For Distributed Collaborative Training Of Deep Learning Models In Health Informatics, Zhuohang Li, Chao Yan, Xinmeng Zhang, Gharib Gharibi, Zhijun Yin, Xiaoqian Jiang, Bradley A Malin

Faculty, Staff and Student Publications

Deep learning continues to rapidly evolve and is now demonstrating remarkable potential for numerous medical prediction tasks. However, realizing deep learning models that generalize across healthcare organizations is challenging. This is due, in part, to the inherent siloed nature of these organizations and patient privacy requirements. To address this problem, we illustrate how split learning can enable collaborative training of deep learning models across disparate and privately maintained health datasets, while keeping the original records and model parameters private. We introduce a new privacy-preserving distributed learning framework that offers a higher level of privacy compared to conventional federated learning. We …

Local Contrastive Learning For Medical Image Recognition, Syed A Rizvi, Ruixiang Tang, Xiaoqian Jiang, Xiaotian Ma, Xia Hu

Faculty, Staff and Student Publications

The proliferation of Deep Learning (DL)-based methods for radiographic image analysis has created a great demand for expert-labeled radiology data. Recent self-supervised frameworks have alleviated the need for expert labeling by obtaining supervision from associated radiology reports. These frameworks, however, struggle to distinguish the subtle differences between different pathologies in medical images. Additionally, many of them do not provide interpretation between image regions and text, making it difficult for radiologists to assess model predictions. In this work, we propose Local Region Contrastive Learning (LRCLR), a flexible fine-tuning framework that adds layers for significant image region selection as well as cross-modality …

Immune Checkpoint Inhibitors In Advanced Cutaneous Squamous Cell Carcinoma: A Systemic Review And Meta-Analysis, Haoran Zhang, Ai Zhong, Junjie Chen

Faculty, Staff and Student Publications

BACKGROUND: To evaluate the immune checkpoint inhibitors (CPI) for the treatment of patients with advanced cutaneous squamous cell carcinoma (CSCC).

MATERIALS AND METHODS: A meta-analysis was conducted, and the efficacy and safety of CPI were assessed.

RESULTS: A total of 13 studies with 980 patients were included. The pooled objective response rate (ORR) and disease control rate were 47.2% and 64.4%, separately. In addition, patients with primary tumor located in head and neck (odds ratio [OR]: 0.374, 95% confidence interval [CI]: 0.219-0.640, p < 0.001) and positive expression of programmed death ligand 1 (OR: 0.364, 95% CI: 0.158-0.842, P = 0.018) had superior ORR during CPI treatment. The incidence of progression free survival at 6 and 12 months was 59.3% and 52.8%, and 80.6% and 76.4% for overall survival. As for safety, the overall incidence of adverse events with all grades and 3-4 grade was 76.9% and 20.2%.

CONCLUSIONS: Our systematic review confirmed the satisfying efficacy and acceptable toxicity of CPI for advanced CSCC.

Text Classification Of Cancer Clinical Trial Eligibility Criteria, Yumeng Yang, Soumya Jayaraj, Ethan Ludmir, Kirk Roberts

Faculty, Staff and Student Publications

Automatic identification of clinical trials for which a patient is eligible is complicated by the fact that trial eligibility are stated in natural language. A potential solution to this problem is to employ text classification methods for common types of eligibility criteria. In this study, we focus on seven common exclusion criteria in cancer trials: prior malignancy, human immunodeficiency virus, hepatitis B, hepatitis C, psychiatric illness, drug/substance abuse, and autoimmune illness. Our dataset consists of 764 phase III cancer trials with these exclusions annotated at the trial level. We experiment with common transformer models as well as a new pre-trained …

Optimization Of Mesh Generation For Geometric Accuracy, Robustness, And Efficiency Of Biomechanical-Model-Based Deformable Image Registration, Yulun He, Brian M Anderson, Guillaume Cazoulat, Bastien Rigaud, Lusmeralis Almodovar-Abreu, Julianne Pollard-Larkin, Peter Balter, Zhongxing Liao, Radhe Mohan, Bruno Odisio, Stina Svensson, Kristy K Brock

Faculty, Staff and Student Publications

BACKGROUND: Successful generation of biomechanical-model-based deformable image registration (BM-DIR) relies on user-defined parameters that dictate surface mesh quality. The trial-and-error process to determine the optimal parameters can be labor-intensive and hinder DIR efficiency and clinical workflow.

PURPOSE: To identify optimal parameters in surface mesh generation as boundary conditions for a BM-DIR in longitudinal liver and lung CT images to facilitate streamlined image registration processes.

METHODS: Contrast-enhanced CT images of 29 colorectal liver cancer patients and end-exhale four-dimensional CT images of 26 locally advanced non-small cell lung cancer patients were collected. Different combinations of parameters that determine the triangle mesh quality …

Transiently Impaired Endothelial Function During Thyroid Hormone Withdrawal In Differentiated Thyroid Cancer Patients, Li-Ying Hou, Xiao Li, Guo-Qiang Zhang, Chuang Xi, Chen-Tian Shen, Hong-Jun Song, Wen-Kun Bai, Zhong-Ling Qiu, Quan-Yong Luo

Faculty, Staff and Student Publications

PURPOSE: Endothelial dysfunction, which was associated with chronic hypothyroidism, was an early event in atherosclerosis. Whether short-term hypothyroidism following thyroxine withdrawal during radioiodine (RAI) therapy was associated with endothelial dysfunction in patients with differentiated thyroid cancer (DTC) was unclear. Aim of the study was to assess whether short-term hypothyroidism could impair endothelial function and the accompanied metabolic changes in the whole process of RAI therapy.

METHODS: We recruited fifty-one patients who underwent total thyroidectomy surgery and would accept RAI therapy for DTC. We analyzed thyroid function, endothelial function and serum lipids levels of the patients at three time points: the …