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Comorbidities, Health-Related Quality Of Life, Health-Care Utilization In Older Persons With Hemophilia-Hematology Utilization Group Study Part Vii (Hugs Vii), Randall Curtis, Marilyn Manco-Johnson, Barbara A Konkle, Roshni Kulkarni, Joanne Wu, Judith R Baker, Megan Ullman, Duc Quang Tran, Michael B Nichol

Faculty, Staff and Student Publications

PURPOSE: We compare the impact of hemophilia on comorbidities, joint problems, health-related quality of life (HRQoL) and health-care utilization between two age groups: 40-49 years and ≥50 years.

PATIENTS AND METHODS: The HUGS VII study recruited persons with hemophilia A or B age ≥40 years. Participants completed surveys to collect data on sociodemographic and clinical characteristics, hemophilia treatment regimen, pain, joint problems, comorbidities, HRQoL, depression and anxiety, at baseline and 6-months later. Clinical chart reviews documented hemophilic severity and treatment.

RESULTS: The sample includes 69 males, 65.2% aged ≥50 years, 75.4% with hemophilia A. Individuals ≥50 years were more likely …

Associations Between Physical Activity And Alcohol Consumption In Rural Cancer Survivors, Scherezade K Mama, Natalia I Heredia, Hannah Johnston, David E Conroy

Faculty, Staff and Student Publications

PURPOSE: Rural adults and cancer survivors are more likely to be physically inactive and exceed recommendations for alcohol use. Physical activity and alcohol use are positively associated in adults and cancer survivors but associations between physical activity and alcohol use in rural cancer survivors is unknown. This cross-sectional study explored associations between physical activity, sitting time, and alcohol use in rural cancer survivors.

METHODS: Cancer survivors residing in central Pennsylvania were recruited to the Partnering to Prevent and Control Cancer (PPCC) study and completed mailed questionnaires assessing physical activity (low, moderate, high), sitting time (≥6 hours/day), and alcohol use (0 …

Trends And Correlates Of Breakthrough Infections With Sars-Cov-2, Jose-Miguel Yamal, Savitri Appana, Mengxi Wang, Luis Leon-Novelo, Eric Bakota, Yuanqing Ye, Shreela Sharma, Alanna C Morrison, Dritana Marko, Stephen H Linder, Alison Rector, Katelyn K Jetelina, Eric Boerwinkle, Marcia De Oliveira Otto

Faculty, Staff and Student Publications

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) delta variant has been hypothesized to decrease the efficacy of COVID-19 vaccines. Factors associated with infections with SARS-CoV-2 after vaccination are unknown. In this observational cohort study, we examined two groups in Harris County, Texas: (1) individuals with positive Nucleic Acid Amplification test between 12/14/2020 and 9/30/2021 and (2) the subset of individuals fully vaccinated in the same time period. Infected individuals were classified as a breakthrough if their infection occurred 14 days after their vaccination had been completed. Among fully vaccinated individuals, demographic and vaccine factors associated with breakthrough infections were …

Blood Metabolites Predicting Mild Cognitive Impairment In The Study Of Latinos-Investigation Of Neurocognitive Aging (Hchs/So), Shan He, Einat Granot-Hershkovitz, Ying Zhang, Jan Bressler, Wassim Tarraf, Bing Yu, Tianyi Huang, Donglin Zeng, Sylvia Wassertheil-Smoller, Melissa Lamar, Martha Daviglus, Maria J Marquine, Jianwen Cai, Thomas Mosley, Robert Kaplan, Eric Boerwinkle, Myriam Fornage, Charles Decarli, Bruce Kristal, Hector M Gonzalez, Tamar Sofer

Faculty, Staff and Student Publications

INTRODUCTION: Blood metabolomics-based biomarkers may be useful to predict measures of neurocognitive aging.

METHODS: We tested the association between 707 blood metabolites measured in 1451 participants from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL), with mild cognitive impairment (MCI) and global cognitive change assessed 7 years later. We further used Lasso penalized regression to construct a metabolomics risk score (MRS) that predicts MCI, potentially identifying a different set of metabolites than those discovered in individual-metabolite analysis.

RESULTS: We identified 20 metabolites predicting prevalent MCI and/or global cognitive change. Six of them were novel and 14 were previously reported as …

Using Implementation Mapping For The Adoption And Implementation Of Target:Bp In Community Health Centers, Melissa A Valerio-Shewmaker, Natalia I Heredia, Catherine Pulicken, Patenne D Mathews, Roshanda Chenier, Tracy L Swoboda, Ella R Garza, Fernanda Velasco-Huerta, Maria E Fernandez

Faculty, Staff and Student Publications

BACKGROUND: Despite the availability of multilevel evidence-based interventions for blood pressure management, poor hypertension control is common among community health center patient populations across the state of Texas and the United States.

METHODS: We used Implementation Mapping (IM) to identify barriers and facilitators influencing the adoption and implementation of the

RESULTS: As part of the needs and capacity assessment, we collected data through interviews with CHC staff, examining gaps in needs and services (e.g., what do clinics need to implement

DISCUSSION: This paper provides an example of using Implementation Mapping to develop strategies to increase the adoption and implementation of …

Incidence Rate Of Psychiatric Disorders In 2020: The Pivotal Role Played By Sars-Cov-2 Infection, Antonio L Teixeira, Regina M Hansen, Joseph S Wozny, Caroline M Schaefer, Rodrigo Machado-Vieira, Lokesh Shahani, Scott D Lane, Jair C Soares, Trudy M Krause

Faculty, Staff and Student Publications

IMPORTANCE: The Coronavirus Disease (COVID-19) pandemic has significantly impacted mental health outcomes. While the frequency of anxiety and depressive symptoms has increased in the whole population, the relationship between COVID-19 and new psychiatric diagnoses remains unclear.

OBJECTIVE: to compare the population incidence rate of emergence of de novo psychiatric disorders in 2020 compared to the previous years, and to compare the incidence rate of new psychiatric disorder diagnoses between people with vs without COVID-19.

DESIGN, SETTING, AND PARTICIPANTS: This study utilized administrative claims data from the Clinformatics® Data Mart database, licensed from Optum®. The study is a cross-sectional analysis that …

Population-Based Correlates Of Covid-19 Infection: An Analysis From The Dfw Covid-19 Prevalence Study, Amit G Singal, Andrew Masica, Kate Esselink, Caitlin C Murphy, Jill A Dever, Annika Reczek, Matthew Bensen, Nicole Mack, Ellen Stutts, Jamie L Ridenhour, Evan Galt, Jordan Brainerd, Noa Kopplin, Sruthi Yekkaluri, Chris Rubio, Shelby Anderson, Kathryn Jan, Natalie Whitworth, Jacqueline Wagner, Stephen Allen, Alagar R Muthukumar, Jasmin Tiro

Faculty, Staff and Student Publications

BACKGROUND: COVID-19 has resulted in over 1 million deaths in the U.S. as of June 2022, with continued surges after vaccine availability. Information on related attitudes and behaviors are needed to inform public health strategies. We aimed to estimate the prevalence of COVID-19, risk factors of infection, and related attitudes and behaviors in a racially, ethnically, and socioeconomically diverse urban population.

METHODS: The DFW COVID-19 Prevalence Study Protocol 1 was conducted from July 2020 to March 2021 on a randomly selected sample of adults aged 18-89 years, living in Dallas or Tarrant Counties, Texas. Participants were asked to complete a …

Recent Advances On Dna Base Flipping: A General Mechanism For Writing, Reading, And Erasing Dna Modifications, Ren Ren, John R Horton, Samuel Hong, Xiaodong Cheng

Faculty, Staff and Student Publications

The modification of DNA bases is a classic hallmark of epigenetics. Four forms of modified cytosine-5-methylcytosine, 5-hydroxymethylcytosine, 5-formylcytosine, and 5-carboxylcytosine-have been discovered in eukaryotic DNA. In addition to cytosine carbon-5 modifications, cytosine and adenine methylated in the exocyclic amine-N4-methylcytosine and N6-methyladenine-are other modified DNA bases discovered even earlier. Each modified base can be considered a distinct epigenetic signal with broader biological implications beyond simple chemical changes. Since 1994, several crystal structures of proteins and enzymes involved in writing, reading, and erasing modified bases have become available. Here, we present a structural synopsis of writers, readers, and erasers of the modified …

A Phase I, Open-Label, Dose-Escalation Study Of The Ox40 Agonist Ivuxolimab In Patients With Locally Advanced Or Metastatic Cancers, Adi Diab, Omid Hamid, John A Thompson, Willeke Ros, Ferry A L M Eskens, Toshihiko Doi, Siwen Hu-Lieskovan, Samuel J Klempner, Bishu Ganguly, Catherine Fleener, Xiao Wang, Tenshang Joh, Ken Liao, Shahram Salek-Ardakani, Carrie Turich Taylor, Jeffrey Chou, Anthony B El-Khoueiry

Faculty, Staff and Student Publications

PURPOSE: Stimulation of effector T cells is an appealing immunotherapeutic approach in oncology. OX40 (CD134) is a costimulatory receptor expressed on activated CD4

PATIENTS AND METHODS: Adult patients (

RESULTS: The most common all-causality adverse events were fatigue (46.2%), nausea (28.8%), and decreased appetite (25.0%). Of 31 treatment-related adverse events, 30 (96.8%) were grade ≤2. No dose-limiting toxicities occurred. Ivuxolimab exposure increased in a dose-proportionate manner from 0.3 to 10 mg/kg. Full peripheral blood target engagement occurred at ≥0.3 mg/kg. Three (5.8%) patients achieved a partial response, and disease control was achieved in 56% of patients. Increased CD4

CONCLUSIONS: Ivuxolimab …

Inhibition Of The Cd47-Sirpα Axis For Cancer Therapy: A Systematic Review And Meta-Analysis Of Emerging Clinical Data, Ji Son, Rodney Cheng-En Hsieh, Heather Y Lin, Kate J Krause, Ying Yuan, Amadeo B Biter, James Welsh, Michael A Curran, David S Hong

Faculty, Staff and Student Publications

CD47-SIRPα interaction acts as a "don't eat me" signal and is exploited by cancer to downregulate innate and adaptive immune surveillance. There has been intense interest to develop a mechanism of blockade, and we aimed to analyze the emerging data from early clinical trials. We performed a systematic review and meta-analysis of relevant databases and conference abstracts including clinical trials using CD47 and/or SIRPα inhibitors in cancer treatment. Nonlinear mixed models were applied for comparison of response and toxicity. We retrieved 317 articles, 24 of which were eligible. These included 771 response-evaluable patients with hematologic (47.1%) and solid tumors (52.9%). …

Checkpoint Inhibitors As Immunotherapy For Fungal Infections: Promises, Challenges, And Unanswered Questions, Sebastian Wurster, Stephanie S Watowich, Dimitrios P Kontoyiannis

Faculty, Staff and Student Publications

Opportunistic fungal infections have high mortality in patients with severe immune dysfunction. Growing evidence suggests that the immune environment of invasive fungal infections and cancers share common features of immune cell exhaustion through activation of immune checkpoint pathways. This observation gave rise to several preclinical studies and clinical case reports describing blockade of the Programmed Cell Death Protein 1 and Cytotoxic T-Lymphocyte Antigen 4 immune checkpoint pathways as an adjunct immune enhancement strategy to treat opportunistic fungal infections. The first part of this review summarizes the emerging evidence for contributions of checkpoint pathways to the immunopathology of fungal sepsis, opportunistic …

An Autoencoder-Based Deep Learning Method For Genotype Imputation, Meng Song, Jonathan Greenbaum, Joseph Luttrell, Weihua Zhou, Chong Wu, Zhe Luo, Chuan Qiu, Lan Juan Zhao, Kuan-Jui Su, Qing Tian, Hui Shen, Huixiao Hong, Ping Gong, Xinghua Shi, Hong-Wen Deng, Chaoyang Zhang

Faculty, Staff and Student Publications

Genotype imputation has a wide range of applications in genome-wide association study (GWAS), including increasing the statistical power of association tests, discovering trait-associated loci in meta-analyses, and prioritizing causal variants with fine-mapping. In recent years, deep learning (DL) based methods, such as sparse convolutional denoising autoencoder (SCDA), have been developed for genotype imputation. However, it remains a challenging task to optimize the learning process in DL-based methods to achieve high imputation accuracy. To address this challenge, we have developed a convolutional autoencoder (AE) model for genotype imputation and implemented a customized training loop by modifying the training process with a …

Highlights From The 7th Oncological Pathology Conference 'Pathological Anatomy In The Context Of The National Cancer Law: An Overview Of The Latin American Experience', 15, 22 And 23 July 2022, Trujillo, Peru, Caddie Laberiano-Fernández, Joan Moreno Luján, Bruno De Carvalho Dornelas, Magali Franco Benites, Patricia Gutiérrez Quispe, Valeria Aguilar Vásquez, Andric Guerrero Espinoza, Elsa Guerra Guerra, Gabriela Gil-Arroyo Álvarez, Juan Astigueta-Pérez, Maria Teresa Garcia De Dávila, Sandro Casavilca Zambrano, Tatiana Vidaurre Rojas, Alejandro Mariños, Emmanuel S González, Rossana Lazcano, Ricardo R Lastra, Isabel Alvarado-Cabrero, Henry Guerra Miller, Ricardo H Bardales, Milagros Abad-Licham

Faculty, Staff and Student Publications

The seventh session of the Oncological Pathology Conference (JoPaO) entitled 'Pathological Anatomy in the context of the National Cancer Law: An overview of the Latin American experience', was held virtually on July 15, 22 and 23. Peru was the headquarters for this event, where 17 national and international professors of high academic standing participated. They interacted in a multidisciplinary context through talks with national panellists and the general public. The recent promulgation of the 'National Cancer Law' fosters the development of discussion forums to analyse the national realities and uphold continuous learning about experiences in other Latin American countries with …

Contemporary Evidence On Colorectal Liver Metastases Ablation: Toward A Paradigm Shift In Locoregional Treatment, Yuan-Mao Lin, Reto Bale, Kristy K Brock, Bruno C Odisio

Faculty, Staff and Student Publications

Image-guided percutaneous ablation techniques represent an attractive local therapy for the treatment of colorectal liver metastases (CLM) given its low risk of severe complications, which allows for early initiation of adjuvant therapies and spare functional liver parenchyma, allowing repeated treatments at the time of recurrence. However, ablation does not consistently achieve similar oncological outcomes to surgery, with the latter being currently considered the first-line local treatment modality in international guidelines. Recent application of computer-assisted ablation planning, guidance, and intra-procedural response assessment has improved percutaneous ablation outcomes. In addition, the evolving understanding of tumor molecular profiling has brought to light several …

Serglycin Is Involved In Tgf-Β Induced Epithelial-Mesenchymal Transition And Is Highly Expressed By Immune Cells In Breast Cancer Tissue, Marta Tellez-Gabriel, Xavier Tekpli, Trine M Reine, Beate Hegge, Stephanie R Nielsen, Meng Chen, Line Moi, Lisa Svartdal Normann, Lill-Tove R Busund, George A Calin, Gunhild M Mælandsmo, Maria Perander, Achilleas D Theocharis, Svein O Kolset, Erik Knutsen

Faculty, Staff and Student Publications

Serglycin is a proteoglycan highly expressed by immune cells, in which its functions are linked to storage, secretion, transport, and protection of chemokines, proteases, histamine, growth factors, and other bioactive molecules. In recent years, it has been demonstrated that serglycin is also expressed by several other cell types, such as endothelial cells, muscle cells, and multiple types of cancer cells. Here, we show that serglycin expression is upregulated in transforming growth factor beta (TGF-β) induced epithelial-mesenchymal transition (EMT). Functional studies provide evidence that serglycin plays an important role in the regulation of the transition between the epithelial and mesenchymal phenotypes, …

Pathogenic Tau Accelerates Aging-Associated Activation Of Transposable Elements In The Mouse Central Nervous System, Paulino Ramirez, Gabrielle Zuniga, Wenyan Sun, Adrian Beckmann, Elizabeth Ochoa, Sarah L Devos, Bradley Hyman, Gabriel Chiu, Ethan R Roy, Wei Cao, Miranda Orr, Virginie Buggia-Prevot, William J Ray, Bess Frost

Faculty, Staff and Student Publications

Transposable elements comprise almost half of the mammalian genome. A growing body of evidence suggests that transposable element dysregulation accompanies brain aging and neurodegenerative disorders, and that transposable element activation is neurotoxic. Recent studies have identified links between pathogenic forms of tau, a protein that accumulates in Alzheimer's disease and related "tauopathies," and transposable element-induced neurotoxicity. Starting with transcriptomic analyses, we find that age- and tau-induced transposable element activation occurs in the mouse brain. Among transposable elements that are activated at the RNA level in the context of brain aging and tauopathy, we find that the endogenous retrovirus (ERV) class …

Research Career Intentions Among Non-Native English-Speaking Graduate And Postdoctoral Trainees In Stem-Results From Cross-Sectional And Longitudinal Studies, Hwa Young Lee, Shine Chang, Cheryl B Anderson, Erin K Dahlstrom, Carrie Cameron

Faculty, Staff and Student Publications

International graduate trainees, many of whom are non-native English-speaking (L2) trainees, comprise more than half of graduate-level trainees in STEM, but little is known regarding factors that influence their career intentions, especially those that foster their growth as scientists to achieve their full potential in research. Thus, the purpose of our studies was to examine the relationship between L2 status and contextual factors that help shape the learning experiences and plans for research-focused careers. Study 1 collected cross-sectional survey data from doctoral and postdoctoral trainees (N=510) from research institutes in the Texas Medical Center in Houston. We examined which factors …

Transcriptomic-Assisted Immune And Neoantigen Profiling In Premalignancy, Kyle Chang, Florencia Mcallister, Eduardo Vilar

Faculty, Staff and Student Publications

Immune-based cancer therapies such as checkpoint inhibitors (CPI) and vaccines have been increasingly studied across different cancer types. Response to such therapies depends on a number of factors such as mutational burden, neoantigen load, presence of tumor infiltrating lymphocytes, among others. Next-generation sequencing (NGS) technologies are particularly attractive to interrogate the immune response compared to traditional assays such as qRT-PCR and immunohistochemistry (IHC) because they enable the discovery of neoantigens and simultaneous profiling of immune infiltration using gene expression on a large scale. Current approaches in immune profiling utilizes whole-exome sequencing (WES) for human leukocyte allele (HLA) typing and neoantigen …

Cancer Prevention Behaviors In Workers Of A Referral Cancer Center In Mexico City: A Pilot Study On Early Detection Awareness For Cancer, Nancy Reynoso-Noverón, Shine Chang, Luis Alonso Herrera-Montalvo, Abelardo Meneses-García

Faculty, Staff and Student Publications

Background: Prevention strategies for cancer are necessary. Health workers who often serve as role models bear responsibility for prevention counseling and programs. However, whether their habits and behaviors reflect prevention goals are unknown. We describe the prevalence of cancer risk factors and prevention behaviors in health workers of a referral cancer center in Mexico City.

Methods: Cross-sectional study in which workers of the National Cancer Institute were invited to participate in a prevention program, risk factor survey, and nutrition, psychological, and genetic counseling were included. The likelihood of cancer was calculated based on the presence of risk factors. Factors associated …

Genetic Studies On Mammalian Dna Methyltransferases, Jiameng Dan, Taiping Chen

Faculty, Staff and Student Publications

Cytosine methylation at the C5-position-generating 5-methylcytosine (5mC)-is a DNA modification found in many eukaryotic organisms, including fungi, plants, invertebrates, and vertebrates, albeit its levels vary greatly in different organisms. In mammals, cytosine methylation occurs predominantly in the context of CpG dinucleotides, with the majority (60-80%) of CpG sites in their genomes being methylated. DNA methylation plays crucial roles in the regulation of chromatin structure and gene expression and is essential for mammalian development. Aberrant changes in DNA methylation and genetic alterations in enzymes and regulators involved in DNA methylation are associated with various human diseases, including cancer and developmental disorders. …

Electroacupuncture Ameliorates Inflammatory Response Induced By Retinal Ischemia-Reperfusion Injury And Protects The Retina Through The Dor-Bdnf/Trkb Pathway, Runjie Guo, Yongjie Zhang, Yue Geng, Ping Chen, Tiantian Fu, Yong Xia, Ren Zhang, Yuan Zhu, Jingling Jin, Nange Jin, Hong Xu, Xuesong Tian

Faculty, Staff and Student Publications

Objectives: Retinal ischemia-reperfusion injury (RIRI) is the common pathological basis of many ophthalmic diseases in the later stages, and inflammation is the primary damage mechanism of RIRI. Our study aimed to assess whether electroacupuncture (EA) has a protective effect against RIRI and to elucidate its related mechanisms.

Methods: A high-intraocular pressure (HIOP) model was used to simulate RIRI in Wistar rats. EA was applied to the EA1 group [Jingming (BL1) + Shuigou (GV26)] and the EA2 group [Jingming (BL1) + Hegu (LI4)] respectively for 30 min starting immediately after the onset of reperfusion and repeated (30 min/time) at 12 h …

A Multicenter Study Of Icu Resource Utilization In Pediatric, Adolescent And Young Adult Patients Post Car-T Therapy, Dristhi Ragoonanan, Saleh Bhar, Gopi Mohan, Fernando Beltramo, Sajad J Khazal, Caitlin Hurley, Clark Andersen, Steven Margossian, Sattva S Neelapu, Elizabeth Shpall, Cristina Gutierrez, Priti Tewari, Basirat Shoberu, Aimee Talleur, David Mccall, Cesar Nunez, Branko Cuglievan, Francesco Paolo Tambaro, Demetrios Petropoulos, Hisham Abdel-Azim, Kris M Mahadeo

Faculty, Staff and Student Publications

Tisagenlecleucel is associated with remarkable outcomes in treating patients up to the age of 25 years with refractory B-cell acute lymphoblastic leukemia (ALL). Yet, due to unique and potentially life-threatening complications, access remains limited to higher-resource and certified centers. Reports of inequity and related disparities in care are emerging. In this multicenter study of ALL patients admitted for anti-leukemia therapy, who required pediatric intensive care (ICU) support (n = 205), patients receiving tisagenlecleucel (n = 39) were compared to those receiving conventional chemotherapy (n = 166). The median time to ICU transfer was 6 (0-43) versus 1 (0-116) days, respectively …

Association Of Adenotonsillar Disease And Adenotonsillectomy With The Development Of Vitiligo: A Nationwide Population-Based Cohort Study, Jong Seung Kim, Min Gyu Lee, Sang-Kyung Lee, Sang-Woo Yeom, Min-Gu Kang, Jong Hwan Lee, Il-Jae Lee, Jin Park, Seok-Kweon Yun, Kyung-Hwa Nam

Faculty, Staff and Student Publications

BACKGROUND: Vitiligo is a common acquired skin depigmentation disorder and is associated with various other autoimmune diseases which include thyroid disease and rheumatoid arthritis. Similarly, adenotonsillar disease (ATD) may induce inflammatory or autoimmune diseases in other organs which include the skin. However, the influence of ATD on the development of vitiligo has not been studied.

OBJECTIVES: To determine the association between ATD and adenotonsillectomy, and the development of vitiligo.

DESIGN AND METHODS: Using data from the National Health Insurance Service database, patients diagnosed with ATD between 2008 and 2010 were included in the study. We performed two rounds of 1:1 …

High-Resolution Metabolomics Of Exposure To Tobacco Smoke During Pregnancy And Adverse Birth Outcomes In The Atlanta African American Maternal-Child Cohort, Youran Tan, Dana Boyd Barr, P Barry Ryan, Veronika Fedirko, Jeremy A Sarnat, Audrey J Gaskins, Che-Jung Chang, Ziyin Tang, Carmen J Marsit, Elizabeth J Corwin, Dean P Jones, Anne L Dunlop, Donghai Liang

Faculty, Staff and Student Publications

Exposure to tobacco smoke during pregnancy has been associated with a series of adverse reproductive outcomes; however, the underlying molecular mechanisms are not well-established. We conducted an untargeted metabolome-wide association study to identify the metabolic perturbations and molecular mechanisms underlying the association between cotinine, a widely used biomarker of tobacco exposure, and adverse birth outcomes. We collected early and late pregnancy urine samples for cotinine measurement and serum samples for high-resolution metabolomics (HRM) profiling from 105 pregnant women from the Atlanta African American Maternal-Child cohort (2014-2016). Maternal metabolome perturbations mediating prenatal tobacco smoke exposure and adverse birth outcomes were assessed …

Progression Free Survival Prediction For Head And Neck Cancer Using Deep Learning Based On Clinical And Pet/Ct Imaging Data, Mohamed A Naser, Kareem A Wahid, Abdallah S R Mohamed, Moamen Abobakr Abdelaal, Renjie He, Cem Dede, Lisanne V Van Dijk, Clifton D Fuller

Faculty, Staff and Student Publications

Determining progression-free survival (PFS) for head and neck squamous cell carcinoma (HNSCC) patients is a challenging but pertinent task that could help stratify patients for improved overall outcomes. PET/CT images provide a rich source of anatomical and metabolic data for potential clinical biomarkers that would inform treatment decisions and could help improve PFS. In this study, we participate in the 2021 HECKTOR Challenge to predict PFS in a large dataset of HNSCC PET/CT images using deep learning approaches. We develop a series of deep learning models based on the DenseNet architecture using a negative log-likelihood loss function that utilizes PET/CT …

Combining Tumor Segmentation Masks With Pet/Ct Images And Clinical Data In A Deep Learning Framework For Improved Prognostic Prediction In Head And Neck Squamous Cell Carcinoma, Kareem A Wahid, Renjie He, Cem Dede, Abdallah S R Mohamed, Moamen Abobakr Abdelaal, Lisanne V Van Dijk, Clifton D Fuller, Mohamed A Naser

Faculty, Staff and Student Publications

PET/CT images provide a rich data source for clinical prediction models in head and neck squamous cell carcinoma (HNSCC). Deep learning models often use images in an end-to-end fashion with clinical data or no additional input for predictions. However, in the context of HNSCC, the tumor region of interest may be an informative prior in the generation of improved prediction performance. In this study, we utilize a deep learning framework based on a DenseNet architecture to combine PET images, CT images, primary tumor segmentation masks, and clinical data as separate channels to predict progression-free survival (PFS) in days for HNSCC …

Establishment And Validation Of Pre-Therapy Cervical Vertebrae Muscle Quantification As A Prognostic Marker Of Sarcopenia In Patients With Head And Neck Cancer, Brennan Olson, Jared Edwards, Catherine Degnin, Nicole Santucci, Michelle Buncke, Jeffrey Hu, Yiyi Chen, Clifton D Fuller, Mathew Geltzeiler, Aaron J Grossberg, Daniel Clayburgh

Faculty, Staff and Student Publications

Background: Sarcopenia is prognostic for survival in patients with head and neck cancer (HNC). However, identification of this high-risk feature remains challenging without computed tomography (CT) imaging of the abdomen or thorax. Herein, we establish sarcopenia thresholds at the C3 level and determine if C3 sarcopenia is associated with survival in patients with HNC.

Methods: This retrospective cohort study was conducted in consecutive patients with a squamous cell carcinoma of the head and neck with cross-sectional abdominal or neck imaging within 60 days prior to treatment. Measurement of cross-sectional muscle area at L3 and C3 levels was performed from CT …

Deep-Learning-Based Generation Of Synthetic 6-Minute Mri From 2-Minute Mri For Use In Head And Neck Cancer Radiotherapy, Kareem A Wahid, Jiaofeng Xu, Dina El-Habashy, Yomna Khamis, Moamen Abobakr, Brigid Mcdonald, Nicolette O' Connell, Daniel Thill, Sara Ahmed, Christina Setareh Sharafi, Kathryn Preston, Travis C Salzillo, Abdallah S R Mohamed, Renjie He, Nathan Cho, John Christodouleas, Clifton D Fuller, Mohamed A Naser

Faculty, Staff and Student Publications

Background: Quick magnetic resonance imaging (MRI) scans with low contrast-to-noise ratio are typically acquired for daily MRI-guided radiotherapy setup. However, for patients with head and neck (HN) cancer, these images are often insufficient for discriminating target volumes and organs at risk (OARs). In this study, we investigated a deep learning (DL) approach to generate high-quality synthetic images from low-quality images.

Methods: We used 108 unique HN image sets of paired 2-minute T2-weighted scans (2mMRI) and 6-minute T2-weighted scans (6mMRI). 90 image sets (~20,000 slices) were used to train a 2-dimensional generative adversarial DL model that utilized 2mMRI as input and …

Head And Neck Cancer Primary Tumor Auto Segmentation Using Model Ensembling Of Deep Learning In Pet/Ct Images, Mohamed A Naser, Kareem A Wahid, Lisanne V Van Dijk, Renjie He, Moamen Abobakr Abdelaal, Cem Dede, Abdallah S R Mohamed, Clifton D Fuller

Faculty, Staff and Student Publications

Auto-segmentation of primary tumors in oropharyngeal cancer using PET/CT images is an unmet need that has the potential to improve radiation oncology workflows. In this study, we develop a series of deep learning models based on a 3D Residual Unet (ResUnet) architecture that can segment oropharyngeal tumors with high performance as demonstrated through internal and external validation of large-scale datasets (training size = 224 patients, testing size = 101 patients) as part of the 2021 HECKTOR Challenge. Specifically, we leverage ResUNet models with either 256 or 512 bottleneck layer channels that demonstrate internal validation (10-fold cross-validation) mean Dice similarity coefficient …

Use Of Specific Duodenal Dose Constraints During Treatment Planning Reduces Toxicity After Definitive Paraaortic Radiation Therapy For Cervical Cancer, David S Lakomy, Juliana Wu, Bhavana V Chapman, Zhiqian Henry Yu, Belinda Lee, Ann H Klopp, Anuja Jhingran, Patricia J Eifel, Lilie L Lin

Faculty, Staff and Student Publications

Purpose: This study aimed to validate the safety of paraaortic nodal (PAN) radiation therapy (RT) for patients with cervical cancer when the duodenal dose is limited to V55 < 15 cm3 and V60 < 2 cm3.

Methods and materials: A total of 97 patients who were treated with RT for cervical cancer between 2010 and 2018 received at least 56 Gy to grossly involved PANs. Patients were treated with concurrent chemoradiation (n = 88; 91%), with 93% of patients (n = 90) receiving intensity modulated RT to the initial PAN field and 98% (n = 95) receiving intensity modulated RT to a sequential PAN boost. The V55 < 15 cm3 and V60 < 2 cm3 criteria were implemented in 2014. Normal tissues were contoured on computed tomography (CT) simulation data sets, and the duodenum was contoured from the gastric outlet to the duodenojejunal flexure. Sixty-six patients (68%) had a resimulation scan after approximately 20 fractions. Composite duodenal doses were calculated using the initial CT scan for 50 patients (52%) and the resimulation CT scan for 47 patients (48%) depending on the anatomic changes throughout treatment.

Results: …