Medical Specialties Commons^™

Benchmarking Outcomes For Molecularly Characterized Synchronous Oligometastatic Non-Small-Cell Lung Cancer Reveal, Brian De, Ahsan S Farooqi, Kyle G Mitchell, Ethan B Ludmir, Jeff Lewis, Waree Rinsurongkawong, Vadeerat Rinsurongkawong, J Jack Lee, Stephen G Swisher, Don L Gibbons, Jianjun Zhang, Xiuning Le, Yasir Y Elamin, Daniel R Gomez, Matthew S Ning, Steven H Lin, Zhongxing Liao, Joe Y Chang, Ara A Vaporciyan, John V Heymach, Mara B Antonoff, Saumil J Gandhi

Faculty, Staff and Student Publications

Purpose: Local consolidative therapy (LCT) for patients with synchronous oligometastatic non-small-cell lung cancer is an evolving treatment strategy, but outcomes following LCT stratified by genetic mutations have not been reported. We sought to identify genomic associations with overall survival (OS) and progression-free survival (PFS) for these patients.

Methods: We identified all patients presenting between 2000 and 2017 with stage IV non-small-cell lung cancer and ≤ 3 synchronous metastatic sites. Patients were grouped according to mutational statuses. Primary outcomes included OS and PFS following initial diagnosis.

Results: Of 194 included patients, 121 received comprehensive LCT to all sites of disease with …

Contemporaneous Symptom Networks Of Multidimensional Symptom Experiences In Cancer Survivors: A Network Analysis, Zheng Zhu, Yanling Sun, Yi Kuang, Xiaoyi Yuan, Haiyan Gu, Jing Zhu, Weijie Xing

Faculty, Staff and Student Publications

Background: Symptom networks can provide empirical evidence for the development of personalized and precise symptom management strategies. However, few studies have explored the symptom networks of multidimensional symptom experiences in cancer survivors. The objectives of this study were to generate symptom networks of multidimensional symptom experiences in cancer survivors and explore the centrality indices and density in these symptom networks METHODS: Data from 1065 cancer survivors were obtained from the Shanghai CANcer Survivor (SCANS) Report. The MD Anderson Symptom Inventory was used to assess the prevalence and severity of 13 cancer-related symptoms. We constructed contemporaneous networks with all 13 symptoms …

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 …

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

Timing Of Invasive Mechanical Ventilation And Death In Critically Ill Adults With Covid-19: A Multicenter Cohort Study, Adam Green, Jean-Sebastien Rachoin, Christa Schorr, Phil Dellinger, Jonathan D Casey, Isabel Park, Shruti Gupta, Rebecca M Baron, Shahzad Shaefi, Krystal Hunter, David E Leaf

Faculty, Staff and Student Publications

PURPOSE: To investigate if the timing of initiation of invasive mechanical ventilation (IMV) for critically ill patients with COVID-19 is associated with mortality.

MATERIALS AND METHODS: The data for this study were derived from a multicenter cohort study of critically ill adults with COVID-19 admitted to ICUs at 68 hospitals across the US from March 1 to July 1, 2020. We examined the association between early (ICU days 1-2) versus late (ICU days 3-7) initiation of IMV and time-to-death. Patients were followed until the first of hospital discharge, death, or 90 days. We adjusted for confounding using a multivariable Cox …

Cancer-Associated Pyroptosis: A New License To Kill Tumor, Qing Kong, Zhibin Zhang

Faculty, Staff and Student Publications

Pyroptosis is a programmed necrotic cell death mediated by pore-forming Gasdermin (GSDM) proteins. After being unleashed from the C-terminal auto-inhibitory domains by proteolytic cleavage, the N-terminal domains of GSDMs oligomerize and perforate on the plasma membrane to induce cytolytic pyroptosis, releasing immune mediators and alarming the immune system. Upon infection or danger signal perception, GSDMD that functions downstream of the inflammasome, a supramolecular complex for inflammatory caspase activation, is cleaved and activated by inflammasome-activated caspase-1/4/5/11 in immune cells and epithelial cells to trigger pyroptosis and exert anti-infection protection. Unlike this inflammasome-activated pyroptosis (IAP), recent studies also suggest an emerging role …

Radiotherapy Reimagined: Integrating Nanomedicines Into Radiotherapy Clinical Trials, Allison N Duross, Jack Phan, Alexander J Lazar, Joshua M Walker, Alexander R Guimaraes, Carole Baas, Sunil Krishnan, Charles R Thomas, Conroy Sun, Alexander F Bagley

Faculty, Staff and Student Publications

Radioenhancing nanoparticles (NPs) are being evaluated in ongoing clinical trials for various cancers including head and neck, lung, esophagus, pancreas, prostate, and soft tissue sarcoma. Supported by decades of preclinical investigation and recent randomized trial data establishing clinical activity, these agents are poised to influence future multimodality treatment paradigms involving radiotherapy. Although the physical interactions between NPs and ionizing radiation are well characterized, less is known about how these agents modify the tumor microenvironment, particularly regarding tumor immunogenicity. In this review, we describe the key multidisciplinary considerations related to radiation, surgery, immunology, and pathology for designing radioenhancing NP clinical trials. …

Robot-Assisted Resection Of Left Ventricular Papillary Fibroelastoma Arising From The Mitral Chordal Apparatus, Kyle G Mitchell, Blaz Podgorsek, Diego E Fiorito, Juan A Abreu, Danny Ramzy

Faculty, Staff and Student Publications

The application of robot-assisted thoracoscopy to cardiac surgery affords an opportunity to leverage the exceptional intraoperative exposure, visualization, and dexterity of the robotic platform. Here, we report the case of a 72-year-old woman who presented to our institution for evaluation of a left ventricular mass that was identified following workup for an embolic event. We present an intraoperative video that provides technical details of the robot-assisted resection of the lesion, which was found to be a left ventricular papillary fibroelastoma arising from the mitral chordal apparatus. This case highlights the advantages provided by the robotic platform, which permitted complete, minimally …

Open Treatments For Thoracoabdominal Aortic Aneurysm Repair, Akiko Tanaka, Holly N Smith, Hazim J Safi, Anthony L Estrera

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.

Initial Thoracic Endovascular Aortic Repair Vs Medical Therapy For Acute Uncomplicated Type B Aortic Dissection, E Hope Weissler, Oyomoare L Osazuwa-Peters, Melissa A Greiner, N Chantelle Hardy, Panagiotis Kougias, Sean M O'Brien, Daniel B Mark, W Schuyler Jones, Eric A Secemsky, Andrew M Vekstein, Sherene Shalhub, Firas F Mussa, Manesh R Patel, Sreekanth Vemulapalli

Faculty, Staff and Student Publications

IMPORTANCE: Thoracic endovascular aortic repair (TEVAR) has increasingly been used for uncomplicated type B aortic dissection (uTBAD) despite limited supporting data.

OBJECTIVE: To assess whether initial TEVAR following uTBAD is associated with reduced mortality or morbidity compared with medical therapy alone.

DESIGN, SETTING, AND PARTICIPANTS: This cohort study included Centers for Medicare & Medicaid Services inpatient claims data for adults aged 65 years or older with index admissions for acute uTBAD from January 1, 2011, to December 31, 2018, with follow-up available through December 31, 2019.

EXPOSURES: Initial TEVAR was defined as TEVAR within 30 days of admission for acute …

The Phase 1/2 Trial Of Indomethacin In Chronic Pancreatitis (The Pair Trial): Protocol For A Parallel Multi-Center Randomized Controlled Trial, Samuel Han, Darwin L Conwell, Liang Li, Alejandra Cervantes, Phil A Hart, Zobeida Cruz-Monserrate, Wenrui Hao, Gregory B Lesinski, Thomas Mace, Tonya M Palermo, Jami L Saloman, Dhiraj Yadav, Santhi Swaroop Vege, Mark Topazian, Consortium For The Study Of Chronic Pancreatitis, Diabetes, And Pancreatic Cancer (Cpdpc)

Faculty, Staff and Student Publications

Background/objectives: Current treatments for chronic pancreatitis focus on symptom management and therapeutics targeting disease reversal are lacking. Given the role of the cyclooxygenase-2 (COX-2) enzyme in producing prostaglandin E2 (PGE2), a key component in the inflammatory pathway of chronic pancreatitis, this study evaluates the physiologic effect of oral indomethacin, a COX-2 inhibitor, on PGE2 levels in pancreatic fluid.

Methods: This pilot two-center randomized controlled trial seeks to examine 32 subjects with chronic pancreatitis who have no contraindications to indomethacin. Subjects will be randomized to either oral indomethacin 50 mg twice a day or placebo twice a day for a total …

Population-Based Linked Longitudinal Surveillance Of Pregnant People And Their Infants: A Critical Resource For Emerging, Re-Emerging, And Persistent Threats, Van T Tong, Kate R Woodworth, Erin Blau, Neha Shinde, Amanda Akosa, Suzanne M Gilboa, Dana Meaney-Delman

Faculty, Staff and Student Publications

Public health emergencies, from Zika to COVID-19, have underscored the importance of addressing the needs of pregnant people and their infants. Recent events have underlined the critical role of mother-infant-linked longitudinal surveillance to characterize and assess the impacts of emerging, re-emerging, and persistent threats, including infectious diseases, on these populations. In partnership with state, local, and territorial health departments, CDC's National Center on Birth Defects and Developmental Disabilities activated the Surveillance for Emerging Threats to Mothers and Babies Network (SET-NET) to capture information about pregnant people with laboratory-confirmed infection with SARS-CoV-2 (the virus that causes COVID-19) and their infants. SET-NET …

Postoperative Management Of Recurrence After Radiosurgery And Surgical Resection For Brain Metastases And Predicting Benefit From Adjuvant Radiation, Samantha M Buszek, Benjamin Tran, James P Long, Dershan Luo, Dima Suki, Jing Li, Sherise Ferguson, Caroline Chung

Faculty, Staff and Student Publications

Stereotactic radiosurgery (SRS) is often used as upfront treatment for brain metastases. Progression or radionecrosis after SRS is common and can prompt resection. However, postoperative management strategies after resection for SRS failure vary widely, and no standard practice has been established. In this approved study, we retrospectively reviewed patients who received SRS for a brain metastasis followed by resection of the same lesion. We extracted patient-, disease-, and treatment-related variables and information on disease-related outcomes. Univariate and multivariate analyses of clinicopathologic variables were used to create a model to predict factors associated with local failure (LF). A total of 225 …

Evaluation Of The Effect Of New Multimodal Analgesia Regimen For Cardiac Surgery: A Prospective, Randomized Controlled, Single-Center Clinical Study, Lin Jin, Yafen Liang, Ying Yu, Peng Miao, Yihao Huang, Liying Xu, Huilin Wang, Chunsheng Wang, Jiapeng Huang, Kefang Guo

Faculty, Staff and Student Publications

OBJECTIVE: To investigate the feasibility of multimodal regimen by paracetamol, gabapentin, ketamine, lidocaine, dexmedetomidine and sufentanil among cardiac surgery patients, and compare the analgesia efficacy with conventional sufentanil-based regimen.

DESIGN: A single-center, prospective, randomized, controlled clinical trial.

SETTING: One participating center, the cardiovascular center of the major integrated teaching hospital.

PARTICIPANTS: A total of 115 patients were assessed for eligibility: 108 patients were randomized, 7 cases were excluded.

INTERVENTIONS: The control group (group T) received conventional anesthesia management. Interventions in the multimodal group (group M) were as follows in addition to the standard of care: gabapentin and acetaminophen 1 hour …

Disrupted Ca2+ Homeostasis And Immunodeficiency In Patients With Functional Ip3 Receptor Subtype 3 Defects, Julika Neumann, Erika Van Nieuwenhove, Lara E Terry, Frederik Staels, Taylor R Knebel, Kirsten Welkenhuyzen, Kourosh Ahmadzadeh, Mariah R Baker, 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 …

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, Michal Guindy, Eugene J Koay, Michael Rosenthal, 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 …

The Genetic Landscape And Clinical Implication Of Pediatric Moyamoya Angiopathy In An International Cohort, Yan-Hao Wei, Ren-Tang Bi, Yan-Mei Qiu, Chun-Lin Zhang, Jian-Zhuang Li, Ya-Nan Li, Bo Hu

Faculty, Staff and Student Publications

Ischemic stroke is a highly complex systemic disease characterized by intricate interactions between the brain and gastrointestinal tract. While our current understanding of these interactions primarily stems from experimental models, their relevance to human stroke outcomes is of considerable interest. After stroke, bidirectional communication between the brain and gastrointestinal tract initiates changes in the gastrointestinal microenvironment. These changes involve the activation of gastrointestinal immunity, disruption of the gastrointestinal barrier, and alterations in gastrointestinal microbiota. Importantly, experimental evidence suggests that these alterations facilitate the migration of gastrointestinal immune cells and cytokines across the damaged blood-brain barrier, ultimately infiltrating the ischemic brain. …

Targeted Exome-Based Predictors Of Patterns Of Progression Of Colorectal Liver Metastasis After Percutaneous Thermal Ablation, Iwan Paolucci, Yuan-Mao Lin, Yoshikuni Kawaguchi, Harufumi Maki, A Kyle Jones, Marco Calandri, Scott Kopetz, Timothy E Newhook, Kristy K Brock, Jean-Nicolas Vauthey, Bruno C Odisio

Faculty, Staff and Student Publications

BACKGROUND: Percutaneous thermal ablation is a curative-intent locoregional therapy (LRT) for selected patients with unresectable colorectal liver metastasis (CLM). Several factors have been identified that contribute to local tumour control after ablation. However, factors contributing to disease progression outside the ablation zone after ablation are poorly understood.

METHODS: In this retrospective study, using next-generation sequencing, we identified genetic biomarkers associated with different patterns of progression following thermal ablation of CLM.

RESULTS: A total of 191 ablation naïve patients between January 2011 and March 2020 were included in the analysis, and 101 had genomic profiling available. Alterations in the TGFβ pathway …

Clinical, Dosimetric, And Reporting Considerations For Y-90 Glass Microspheres In Hepatocellular Carcinoma: Updated 2022 Recommendations From An International Multidisciplinary Working Group, Riad Salem, Siddharth A Padia, Marnix Lam, Carlo Chiesa, Paul Haste, Bruno Sangro, Beau Toskich, Kirk Fowers, Joseph M Herman, S Cheenu Kappadath, Thomas Leung, Daniel Y Sze, Edward Kim, Etienne Garin

Faculty, Staff and Student Publications

PURPOSE: In light of recently published clinical reports and trials, the TheraSphere Global Dosimetry Steering Committee (DSC) reconvened to review new data and to update previously published clinical and dosimetric recommendations for the treatment of hepatocellular carcinoma (HCC).

METHODS: The TheraSphere Global DSC is comprised of health care providers across multiple disciplines involved in the treatment of HCC with yttrium-90 (Y-90) glass microsphere-based transarterial radioembolization (TARE). Literature published between January 2019 and September 2021 was reviewed, discussed, and adjudicated by the Delphi method. Recommendations included in this updated document incorporate both the results of the literature review and the expert …

The Interplay Between Neoantigens And Immune Cells In Sarcomas Treated With Checkpoint Inhibition, Irantzu Anzar, Brandon Malone, Pubudu Samarakoon, Ioannis Vardaxis, Boris Simovski, Hugues Fontenelle, Leonardo A Meza-Zepeda, Richard Stratford, 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. …

Prevalence Of Depressive Symptoms And Correlates Among Individuals Who Self-Reported Sars-Cov-2 Infection After Optimizing The Covid-19 Response In China, Liangjia Wei, Jiao Qin, Zhifeng Lin, Xinju Huang, Jinfeng He, Dee Yu, Fei Zhang, Sisi Li, Ping Cen, Mu Li, Tong Luo, Rongjing Zhang, Shanmei Zhong, Cai Qin, Zeyu Li, Yuan Yang, Huiqi Pan, Mengdi Zhao, Xiaoqiong Wu, Junjun Jiang, Hao Liang, Li Ye, Bingyu Liang

Faculty, Staff and Student Publications

BACKGROUND: The burden of depression symptoms has increased among individuals infected with SARS-CoV-2 during COVID-19 pandemic. However, the prevalence and associated factors of depressive symptoms among individuals infected with SARS-CoV-2 remain uncertain after optimizing the COVID-19 response in China.

METHODS: An online cross-sectional survey was conducted among the public from January 6 to 30, 2023, using a convenience sampling method. Sociodemographic and COVID-19 pandemic-related factors were collected. The depression symptoms were assessed using the Patient Health Questionnaire-9 (PHQ-9). Logistic regression analysis was performed to explore the associated factors with depressive symptoms.

RESULTS: A total of 2,726 participants completed the survey. …

Lysosomal Tmem9-Lamtor4-Controlled Mtor Signaling Integrity Is Required For Mammary Tumorigenesis, Shengzhe Zhang, Sung Ho Lee, Litong Nie, Yuanjian Huang, Gengyi Zou, Youn-Sang Jung, Sohee Jun, Jie Zhang, Esther M Lien, Junjie Chen, Jae-Il Park

Faculty, Staff and Student Publications

No abstract provided.

More On The Magic Of Metformin, Efstratios Koutroumpakis, Claire Huang-Lucas, Heinrich Taegtmeyer

Faculty, Staff and Student Publications

No abstract provided.

Target Recognition By Rnase E Rna-Binding Domain Ar2 Drives Srna Decay In The Absence Of Pnpase, Pranathi Gullapalli, Nicoletta Fossati, Dusica Stamenkovic, Muhammad Haque, Davide Cattano

Faculty, Staff and Student Publications

The human brain contributes 2% of the body weight yet receives 15% of cardiac output and demands a constant supply of oxygen (O 2) and nutrients to meet its metabolic needs. Cerebral autoregulation is responsible for maintaining a constant cerebral blood flow that provides the supply of oxygen and maintains the energy storage capacity. We selected oxygen administration-related studies published between 1975-2021 that included meta-analysis, original research, commentaries, editorial, and review articles. In the present narrative review, several important aspects of the oxygen effects on brain tissues and cerebral autoregulation are discussed, as well the role of exogenous O 2 …

Associative Learning Contributes To The Persistence Of Fatigue-Like Behavior In Male Mice In A Model Of Cancer Survivorship, Elisabeth G Vichaya, Josephine K Darpolor, Phillip S Gross, Jessica M Molkentine, Daniel W Vermeer, Paola D Vermeer, John H Lee, Cullen M Taniguchi, Robert Dantzer

Faculty, Staff and Student Publications

Persistent fatigue is a debilitating side effect that impacts a significant proportion of cancer survivors for which there is not yet an FDA-approved treatment. While certainly a multi-factorial problem, persistent fatigue could be due, in part, to associations learned during treatment. Therefore, we sought to investigate the role of associative learning in the persistence of fatigue using a preclinical model of cancer survivorship. For this purpose, we used a murine model of human papilloma virus-related head and neck cancer paired with a curative regimen of cisplatin-based chemoradiation in male C57BL/6J mice. Fatigue-like behavior was assessed by measuring variations in voluntary …

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, James G Moe

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 …

A Unified Mediation Analysis Framework For Integrative Cancer Proteogenomics With Clinical Outcomes, Licai Huang, James P Long, Ehsan Irajizad, James D Doecke, Kim-Anh Do, Min Jin Ha

Faculty, Staff and Student Publications

MOTIVATION: Multilevel molecular profiling of tumors and the integrative analysis with clinical outcomes have enabled a deeper characterization of cancer treatment. Mediation analysis has emerged as a promising statistical tool to identify and quantify the intermediate mechanisms by which a gene affects an outcome. However, existing methods lack a unified approach to handle various types of outcome variables, making them unsuitable for high-throughput molecular profiling data with highly interconnected variables.

RESULTS: We develop a general mediation analysis framework for proteogenomic data that include multiple exposures, multivariate mediators on various scales of effects as appropriate for continuous, binary and survival outcomes. …

Late Effects Of Craniospinal Irradiation Using Electron Spinal Fields For Pediatric Patients With Cancer, Brian De, Marcus A Florez, Ethan B Ludmir, Moshe H Maor, Susan L Mcgovern, Mary Frances Mcaleer, David R Grosshans, Eric L Chang, Anita Mahajan, Arnold C Paulino

Faculty, Staff and Student Publications

Purpose: For children, craniospinal irradiation (CSI) with photons is associated with significant toxic effects. The use of electrons for spinal fields is hypothesized to spare anterior structures but the long-term effects remain uncertain. We studied late effects of CSI using electrons for spinal radiation therapy (RT).

Methods and materials: Records of 84 consecutive patients treated with CSI using electrons for the spine at a single institution between 1983 and 2014 were reviewed. Median age at RT was 5 (range, 1-14) years. The most common histologies were medulloblastoma/primitive neuroectodermal tumor (59%) and ependymoma (8%). The median prescribed dose to the entire …

Chronic Kidney Disease Prediction Using Boosting Techniques Based On Clinical Parameters, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Saurav Mallik, Zhongming Zhao

Faculty, Staff and Student Publications

Chronic kidney disease (CKD) has become a major global health crisis, causing millions of yearly deaths. Predicting the possibility of a person being affected by the disease will allow timely diagnosis and precautionary measures leading to preventive strategies for health. Machine learning techniques have been popularly applied in various disease diagnoses and predictions. Ensemble learning approaches have become useful for predicting many complex diseases. In this paper, we utilise the boosting method, one of the popular ensemble learnings, to achieve a higher prediction accuracy for CKD. Five boosting algorithms are employed: XGBoost, CatBoost, LightGBM, AdaBoost, and gradient boosting. We experimented …

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 …