Digital Commons Network^™

Gdgse: An Algorithm To Evaluate Pathway Enrichment By Discretizing Gene Expression Values, Xiang Yang, Xiaosheng Wang

Faculty, Staff and Student Publications

We proposed gdGSE, a novel computational framework for gene set enrichment analysis. Unlike conventional methods that rely on continuous gene expression values, gdGSE employs discretized gene expression profiles to assess pathway activity. This approach effectively mitigates discrepancies caused by data distributions. This algorithm consists of two steps: (1) applying statistical thresholds binarizing gene expression matrix, and (2) converting the binarized gene expression matrix into a gene set enrichment matrix. Our results demonstrated that gdGSE could robustly extract biological insights from a diverse array of simulated and real bulk or single-cell gene expression datasets. Notably, gene set enrichment scores by gdGSE …

Language Mapping During Awake Brain Surgery In A Deaf Patient With A Brain Tumor: Illustrative Case, Ene Chibawanye I, Elizabeth Silva, Kyle Noll, Mariana Bradshaw, Katherine Connelly, Ravi Tummala, Frederick F Lang, Vinodh A Kumar

Faculty, Staff and Student Publications

Background: Signed language integrates complex sensorimotor processes involving visual and motor networks. The contribution of language regions such as Broca's and Wernicke's areas during signing is not well established. Here, the authors report the case of a 45-year-old right-handed male with congenital deafness, who communicates using American Sign Language (ASL) and Signed English, presenting with focal seizures. Imaging showed a diffuse infiltrative glioma in the right cerebral hemisphere.

Observations: Remarkably, preoperative functional MRI language activations were bihemispheric and overlapped for both traditional language paradigms and sign paradigms, suggesting that the same cortical regions of the brain are used for language …

Dynamic Vertebral Artery Recanalization As A Cause For Recurrent Posterior Circulation Thromboembolic Stroke: Illustrative Case, Hussein A Zeineddine, Gabriel Galan Castro, Antonio Dono, William W Wroe, Salvatore A D'Amato, Duncan Trimble, Nimer Adeeb, Andrew Barreto, Spiros L Blackburn

Faculty, Staff and Student Publications

Background: Posterior circulation strokes comprise one-fourth of ischemic strokes and can arise from many causes. One rare etiology is transient occlusion of the vertebral artery (VA) with head rotation due to an osteophyte, termed bow hunter's syndrome. The authors present the case of recurrent thromboembolic posterior strokes secondary to transient reopening of an osteophyte-occluded VA.

Observations: A 71-year-old man presented with dizziness and visual changes with a history of prior cervical fusion and myocardial ischemia, controlled with Plavix and aspirin. CT angiography of the neck revealed osteophyte occlusion of the right VA at C4, and MRI revealed a right posterior …

Prognostic Value Of Serum And Bronchoalveolar Lavage Fluid Galactomannan Levels In Invasive Aspergillosis: An 8-Year Experience At A Tertiary Cancer Center, Saliba Wehbe, Anne-Marie Chaftari, Ray Hachem, Hiba Dagher, Andrea Haddad, Ying Jiang, Peter Bakht, Jishna Shrestha, Peter Lamie, Robin Sherchan, Jennifer Makhoul, Patrick Chaftari, Issam I Raad

Faculty, Staff and Student Publications

Background: Invasive aspergillosis (IA) is a life-threatening fungal infection that primarily affects immunocompromised individuals and has high morbidity and mortality rates, necessitating timely diagnosis and treatment. This study aimed to evaluate the prognostic utility of serum and bronchoalveolar lavage (BAL) fluid galactomannan levels, as well as galactomannan kinetics, in patients with IA.

Methods: We retrospectively reviewed the medical records of patients who were diagnosed with proven or probable IA from March 2016 to April 2024 at a tertiary cancer center. The collected data included patient characteristics, baseline and peak galactomannan levels in serum and BAL fluid, galactomannan trends, and …

Efficacy And Safety Of Larotrectinib In Patients With Trk Fusion Gastrointestinal Cancer, Changsong Qi, Lin Shen, Thierry Andre, Hyun Cheol Chung, Timothy L Cannon, Antoine Italiano, Tianshu Liu, Domnita-Ileana Burcoveanu, Natascha Neu, Chiara E Mussi, Rui-Hua Xu, David S Hong, Alexander Drilon, Jordan Berlin

Faculty, Staff and Student Publications

Background: Larotrectinib is the first-in-class, highly selective TRK inhibitor with demonstrated efficacy in various TRK fusion solid tumours. We report the efficacy and safety of larotrectinib in patients with TRK fusion gastrointestinal (GI) cancer.

Methods: Patients with TRK fusion GI cancer from NAVIGATE (NCT02576431) were included. Response was independent review committee (IRC)-assessed per RECIST v1.1.

Results: As of July 2023, 44 patients were enrolled. Tumour types included colorectal (CRC; n = 26), pancreatic (n = 7), cholangiocarcinoma (n = 4), gastric (n = 3), and one each of appendiceal, duodenal, oesophageal and hepatic cancers. Of the 26 patients …

Enteral Nutritional Practices In Extremely Preterm Infants: A Survey Of U.S. Nicus, Mar Romero-Lopez, Mamta Naik, Lindsay F Holzapfel, Jon E Tyson, Claudia Pedroza, Kaashif A Ahmad, Matthew A Rysavy, Waldemar A Carlo, Yuxin Zhang, Covi Tibe, Ariel A Salas

Faculty, Staff and Student Publications

No abstract provided.

An Updated Systematic Review And Consensus Definitions For Standardised Endpoints In Perioperative Medicine: Patient Comfort And Pain Relief, Frances Chung, Michael P W Grocott, Mark P Jensen, Henrik Kehlet, Andrea Kurz, Maxime Leger, Ulrica Nilsson, Phillip Peyton, Daniel I Sessler, Martin R Tramèr, Christopher L Wu, Alfred Health Patient Experience And Consumer Engagement Group

Faculty, Staff and Student Publications

Background: Improving comfort during and after surgery is a key concern for anaesthetists and other clinicians. With the inclusion of patient and public involvement, we undertook a Delphi consensus process to update previously recommended endpoints to be used in clinical trials evaluating treatments aiming to improve patient comfort after surgery.

Methods: We undertook a systematic review to identify domains and outcome measures of patient comfort used in perioperative studies. Focus groups, workshops, and a multi-round Delphi consensus process that included clinician-researchers and a patient experience and consumer group updated a recommended list of standardised endpoints focused on patient comfort. Consensus …

Survival In Patients With Rheumatoid Arthritis And Recently Diagnosed Early-Stage Colorectal, Lung, Or Prostate Cancer Receiving Tumour Necrosis Factor Inhibitors: A Retrospective Cohort Study, Suja S Rajan

Faculty, Staff and Student Publications

Background: Tumor necrosis factor (TNF) inhibitors could impair tumoural immunity in patients with rheumatoid arthritis and cancer. We aimed to investigate the association between survival and TNF inhibitor treatment during the first 3 years after a diagnosis of colorectal, lung, or prostate cancer in patients with rheumatoid arthritis.

Methods: In this cohort study, we conducted a secondary data analysis of the Surveillance, Epidemiology, and End Results Medicare-linked dataset. We included patients aged 66 years and older with rheumatoid arthritis diagnosed with colorectal, lung, or prostate cancer between Jan 1, 2008, and Dec 31, 2019, using ICD-O-3 site and histology codes. …

Comparison Of Risk Assessment Tools' Prediction Of Outcomes For Penetrating Trauma, Thomas Shoultz, Jose Navas, Georgia Vasileiou, Kazuhide Matsushima, Matthew Forestiere, Tiffany Lian, Areg Grigorian, Joni Ricks-Oddie, Jeffry Nahmias

Faculty, Staff and Student Publications

Introduction: The Trauma and Injury Severity Score (TRISS) uses anatomic and/or physiologic variables to predict mortality; however, Injury Severity Score is less reliable for penetrating trauma. National Surgical Quality Improvement Program Surgical Risk Calculator (NSQIP-SRC) and American Society of Anesthesiologists Physical Status (ASA-PS) include functional status and comorbidities. This study evaluates the accuracy of these tools in predicting mortality, length of stay (LOS), and complications for operative penetrating trauma.

Methods: Adult penetrating trauma patients (≥18 y) who underwent surgery within 24 h of admission were included in this subgroup analysis of a prospective observational study at four trauma centers. The …

Robust Privacy Amidst Innovation With Large Language Models Through A Critical Assessment Of The Risks, Xiaoqian Jiang

Faculty, Staff and Student Publications

Objective: This study evaluates the integration of electronic health records (EHRs) and natural language processing (NLP) with large language models (LLMs) to enhance healthcare data management and patient care, focusing on using advanced language models to create secure, Health Insurance Portability and Accountability Act-compliant synthetic patient notes for global biomedical research.

Materials and methods: The study used de-identified and re-identified versions of the MIMIC III dataset with GPT-3.5, GPT-4, and Mistral 7B to generate synthetic clinical notes. Text generation employed templates and keyword extraction for contextually relevant notes, with One-shot generation for comparison. Privacy was assessed by analyzing protected health …

The Association Of Discrimination, Inflammation, And Coping Style On Self-Rated Health Among South Asian Individuals In The Masala Study, Alka M Kanaya, Jennifer E S Beauchamp

Faculty, Staff and Student Publications

Objectives: South Asian individuals (SAs) may have heightened levels of inflammatory markers, such as C reactive protein (CRP), Tumor Necrosis Factor-α (TNF-α), leptin, and resistin, and decreased levels of anti-inflammatory adiponectin, contributing to higher cardiovascular disease (CVD) incidence. Social determinants of health, like discrimination, are also associated with risks for CVD in SAs. This study examined the associations between discrimination and inflammation and whether coping styles moderated the association between discrimination and self-rated health (SRH) among SAs in the United States.

Design: Secondary analysis of data obtained from 1164 SAs (mean age = 57 years, SD = 9.4, 48% women) …

Differences In Blood Leukocyte Subpopulations In Schizophrenia: A Systematic Review And Meta-Analysis, Henrik Dobrowolny, Gabriela Meyer-Lotz, Zhongming Zhao, Roland Jacobs, Kolja Schiltz, Brisa S Fernandes, Johann Steiner

Faculty, Staff and Student Publications

Importance: This study aims to provide robust evidence to support or challenge the immune hypothesis of schizophrenia.

Objective: To conduct a meta-analysis of reports on blood leukocyte subpopulations in schizophrenia vs healthy controls, examining disease- and treatment-related differences as well as potential confounders.

Data sources: Systematic database search for English and non-English peer-reviewed articles in PubMed, Web of Science, Scopus, and Cochrane Library databases, with the last search in January 2024.

Study selection: Cross-sectional, case-control, and longitudinal studies comparing leukocyte numbers in patients with schizophrenia and healthy controls. After duplicates were removed, 3691 studies were identified for screening.

Data extraction …

Ai Model For Predicting Asthma Prognosis In Children, Euijung Ryu, Hongfang Liu, Miguel A Park, Hee Yun Seol, Shauna M Overgaard, Deepak K Sharma, Young J Juhn, Sunghwan Sohn

Faculty, Staff and Student Publications

BACKGROUND: Childhood asthma often continues into adulthood, but some children experience remission. Utilizing electronic health records (EHRs) to predict asthma prognosis can aid health care providers and patients in developing effective prioritized care plans.

OBJECTIVE: We aimed to develop artificial intelligence (AI) models using various clinical variables extracted from EHRs to predict childhood asthma prognosis (remission vs no remission) in different age groups.

METHODS: We developed AI models utilizing patients' EHRs during the first 6, 9, or 12 years of their lives to predict their asthma prognosis status at ages 6 to 9, 9 to 12, or 12 to 15 …

Association Of Delayed Asthma Diagnosis With Asthma Exacerbations In Children, Joshua T Bublitz, Miguel Park, Sergio E Chiarella, Jason D Greenwood, Thanai Pongdee, Lynnea Myers, Björn Nordlund, Sunghwan Sohn, Elham Sagheb, Bhavani Singh Agnikula Kshatriya, Dave Watson, Hongfang Liu, Beverley J Sheares, Carla M Davis, Wade Schulz, Young J Juhn

Faculty, Staff and Student Publications

Background: There is a significant delay between symptom onset and diagnosis of childhood asthma, but the impact of this delay on asthma outcomes has not been well understood.

Objectives: We sought to study the association of delayed diagnosis of asthma with asthma exacerbations (AEs) in children.

Methods: Using the Mayo Clinic birth cohort, we identified children with a diagnosis of asthma from electronic health records. We defined onset date as the date when subjects first met predetermined asthma criteria ascertained by an electronic health records-based natural language processing algorithm. Delay in diagnosis (DD) was defined as first diagnosis >30 days …

Enhancing The Safety And Efficacy Of Cell Therapy With Programmed Sense-And-Respond Function, Andrew J Walters, Xiaoyu Yang, Scott D Olson, Caleb J Bashor

Faculty, Staff and Student Publications

No abstract provided.

Older Adults' Experiences Of Emergency Department Admission Decisions: A Qualitative Study In A Public Safety Net Hospital, Anita N Chary, Annika Bhananker, Beatrice Torres, Victoria Sofia Martell, Manish N Shah, Aanand D Naik

Faculty, Staff and Student Publications

Background: Hospital admission is a significant event in the healthcare trajectory of older adults (age 60 +). Numerous harms such as delirium, falls, and adverse medication events can arise that outweigh the benefits of admission. Little is known about how older adults feel about being hospitalized or what they think admission will achieve for them. These issues are particularly important to understand in socioeconomically disadvantaged patients, who have poor access to outpatient care and higher hospitalization rates.

Methods: We performed semi-structured interviews with emergency department (ED) patients aged 60 and older who were being admitted. The study site was a …

Precision Proteogenomics Reveals Pan-Cancer Impact Of Germline Variants, Fernanda Martins Rodrigues, Nadezhda V Terekhanova, Kathleen J Imbach, Karl R Clauser, Myvizhi Esai Selvan, Isabel Mendizabal, Yifat Geffen, Yo Akiyama, Myranda Maynard, Tomer M Yaron, Yize Li, Song Cao, Erik P Storrs, Olivia S Gonda, Adrian Gaite-Reguero, Akshay Govindan, Emily A Kawaler, Matthew A Wyczalkowski, Robert J Klein, Berk Turhan, Karsten Krug, D R Mani, Felipe Da Veiga Leprevost, Alexey I Nesvizhskii, Steven A Carr, David Fenyö, Michael A Gillette, Antonio Colaprico, Antonio Iavarone, Ana I Robles, Kuan-Lin Huang, Chandan Kumar-Sinha, François Aguet, Alexander J Lazar, Lewis C Cantley, Urko M Marigorta, Zeynep H Gümüş, Matthew H Bailey, Gad Getz, Eduard Porta-Pardo, Li Ding

Faculty, Staff and Student Publications

We investigate the impact of germline variants on cancer patients' proteomes, encompassing 1,064 individuals across 10 cancer types. We introduced an approach, "precision peptidomics," mapping 337,469 coding germline variants onto peptides from patients' mass spectrometry data, revealing their potential impact on post-translational modifications, protein stability, allele-specific expression, and protein structure by leveraging the relevant protein databases. We identified rare pathogenic and common germline variants in cancer genes potentially affecting proteomic features, including variants altering protein abundance and structure and variants in kinases (ERBB2 and MAP2K2) impacting phosphorylation. Precision peptidome analysis predicted destabilizing events in signal-regulatory protein alpha (SIRPA) and glial …

Development Of A Treatment Decision Aid For Patients With Dysplastic Nevi Who Are Candidates For Re-Excision, Jaclyn N Roland-Mcgowan, Steven Caleb Freeman, Wenelia Baghoomian, Bryan T Carroll, Caroline Choi Kim, Emily Y Chu, Kelly Carter Nelson, Kevin P White, Michael E Ming, Rebecca I Hartman, Sancy A Leachman, Stephanie Mengden-Koon, Suephy C Chen, Susan M Swetter, Victor G Prieto, Elizabeth Berry, Wesley Y Yu

Faculty, Staff and Student Publications

No abstract provided.

A Comparison Of Carbon Ions Versus Protons For Integrated Mode Ion Imaging, Mikaël Simard, Ryan Fullarton, Lennart Volz, Christoph Schuy, Daniel G Robertson, Colin Baker, Christian Graeff, Charles-Antoine Collins Fekete

Faculty, Staff and Student Publications

Background: Incorporating image guidance into ion beam therapy is critical for minimizing beam range uncertainties and realizing the modality's potential. One promising avenue for image guidance is to capture transmission ion radiographs (iRads) before and/or during treatment. iRad image quality is typically maximized using a single-event imaging system, which involves tracking individual ions, albeit the approach is generally not suited to clinical beam settings. An alternative faster and clinically compatible method is integrated mode imaging, where individual pencil beam data is acquired, rather than single ion data. To evaluate the usefulness of transmission ion imaging for image guidance, it is …

Advancing Understanding And Therapeutic Strategies For Nut Sarcomas: Comprehensive Review Of The Literature And Two Cases, Carlos Torrado, Elise Nassif Haddad, Neeta Somaiah, Pavlos Msaouel, Alexander J Lazar

Faculty, Staff and Student Publications

Soft tissue sarcomas (STSs) are a group of rare cancers, among which nuclear protein in testis (NUT) sarcomas represent an ultra-rare subset driven by NUTM1 gene fusions. This article presents two unique cases of NUT sarcomas and conducts a comprehensive review of the literature to include an additional 61 cases. Our review reveals that NUT sarcoma exhibits a slightly higher incidence among women (male-to-female ratio of 1:1.03) and tends to manifest at a relatively young age (median age of 40 years). The most prevalent NUT partner genes were the MAD family in 52% of patients (33 of 63 patients, including …

Further Delineation Of The Scaf4-Associated Neurodevelopmental Disorder, Cosima M Schmid, Anne Gregor, Anna Ruiz, Carmen Manso Bazús, Isabella Herman, Urania Kotzaeridou, Lucie Dupuis, Katharina Steindl, Anaïs Begemann, Anita Rauch, Aude-Annick Suter, Bertrand Isidor, Sandra Mercier, Mathilde Nizon, Benjamin Cogné, Wallid Deb, Thomas Besnard, Tobias B Haack, Ruth J Falb, Amelie J Müller, Tobias Linden, Chad R Haldeman-Englert, Charlotte W Ockeloen, Francesca Mattioli, Alexandre Reymond, Nazia Ibrahim, Shagufta Naz, Elodie Lacaze, Jennifer A Bassetti, Julia Hoefele, Theresa Brunet, Korbinian M Riedhammer, Houda Z Elloumi, Richard Person, Fanggeng Zou, Juliette J Kahle, Kirsten Cremer, Axel Schmidt, Marie-Ange Delrue, Pedro M Almeida, Fabiana Ramos, Siddharth Srivastava, Aisling Quinlan, Stephen Robertson, Eva Manka, Alma Kuechler, Stephanie Spranger, Malgorzata J M Nowaczyk, Reem M Elshafie, Hind Alsharhan, Paul R Hillman, Leslie A Dunnington, Hilde M H Braakman, Shane Mckee, Angelica Moresco, Andrea-Diana Ignat, Ruth Newbury-Ecob, Guillaume Banneau, Olivier Patat, Jeffrey Kuerbitz, Susan Rzucidlo, Susan S Sell, Patricia Gordon, Sarah Schuhmann, André Reis, Yosra Halleb, Radka Stoeva, Boris Keren, Zainab Al Masseri, Zeynep Tümer, Sophia Hammer-Hansen, Sofus Krüger Sølyst, Connolly G Steigerwald, Nicolas J Abreu, Helene Faust, Amica Müller-Nedebock, Frédéric Tran Mau-Them, Heinrich Sticht, Christiane Zweier

Faculty, Staff and Student Publications

While mostly de novo truncating variants in SCAF4 were recently identified in 18 individuals with variable neurodevelopmental phenotypes, knowledge on the molecular and clinical spectrum is still limited. We assembled data on 50 novel individuals with SCAF4 variants ascertained via GeneMatcher and personal communication. With detailed evaluation of clinical data, in silico predictions and structural modeling, we further characterized the molecular and clinical spectrum of the autosomal dominant SCAF4-associated neurodevelopmental disorder. The molecular spectrum comprises 25 truncating, eight splice-site and five missense variants. While all other truncating variants were classified as pathogenic/likely pathogenic, significance of one C-terminal truncating variant, one …

From Epithelium To Therapy: Transitional Cells In Lung Fibrosis, Sarah Y Shin, Jichao Chen, Irit Milman Krentsis, Yair Reisner, Rodeo Abrencillo, Danielle Wu

Faculty, Staff and Student Publications

Patients with idiopathic pulmonary fibrosis and lung fibrosis secondary to infections such as influenza A and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have limited treatment options outside of supportive therapy and lung transplantation. Multiple lung stem cell populations have been implicated in the pathogenesis of lung fibrosis, and more progenitor cell populations continue to be discovered and characterized. In this review, we summarize the functions and differentiation pathways of various cells that constitute the lung epithelium. We then focus on two subpopulations of KRT5

Rna Sculpting By The Primordial Helix-Clasp-Helix-Strand-Loop (Hch-Sl) Motif Enforces Chemical Recognition Enabling Diverse Kh Domain Functions, John A Tainer, Susan E Tsutakawa

Faculty, Staff and Student Publications

In all domains of life, the ancient K homology (KH) domain superfamily is central to RNA processes including splicing, transcription, posttranscriptional gene regulation, signaling, and translation. Proteins with 1 to 15 KH domains bind single-strand (ss) RNA or DNA with base sequence specificity. Here, we examine over 40 KH domain experimental structures in complex with nucleic acid (NA) and define a novel Helix-clasp-Helix-Strand-Loop (HcH-SL) NA recognition motif binding 4 to 5 nucleotides using 10 to 18 residues. HcH-SL includes and extends the Gly-X-X-Gly (GXXG) signature sequence "clasp" that brings together two helices as an ∼90° helical corner. The first helix …

Temporal Trends Of Subsequent Central Nervous System Malignancies Among Survivors Of Childhood Cancer, Robert T Galvin, Yan Chen, Yan Yuan, Tabitha Cooney, Rebecca Howell, Michael A Arnold, Wendy Leisenring, Gregory T Armstrong, Joseph P Neglia, Lucie M Turcotte

Faculty, Staff and Student Publications

Background: It is not known whether temporal changes in childhood cancer therapy have reduced risk of subsequent malignant neoplasms of the central nervous system (CNS), a frequently fatal late effect of cancer therapy.

Methods: Five-year survivors of primary childhood cancers diagnosed between 1970 and 1999 in the Childhood Cancer Survivor Study with CNS subsequent malignant neoplasms were identified. Cumulative incidence rates and standardized incidence ratios were compared among survivors diagnosed between 1970-1979 (n = 6223), 1980-1989 (n = 9680), and 1990-1999 (n = 8999). Multivariable models assessed risk factors for CNS subsequent malignant neoplasms.

Results: A total of 157 CNS …

Quantifying Photon Counting Detector (Pcd) Performance Using Pcd-Ct Images, Linying Zhan, Guang-Hong Chen, Ke Li

Faculty, Staff and Student Publications

Background: Photon counting detector CTs (PCD-CTs) have recently been introduced to clinical imaging. This development creates a new need for end-users to quantify and monitor the physical performance of PCDs. Traditionally, the characterization of PCD performance relied on detector counts, which are typically accessible to the manufacturer but are not usually available to clinical end-users.

Purpose: The goal of this work was to develop a new method for quantifying PCD performance using reconstructed PCD-CT images, without requiring access to the PCD counts.

Methods: The proposed method is based on a set of closed-form relationships that connect PCD-CT image noise, the …

Dose Prediction Via Deep Learning To Enhance Treatment Planning Of Lung Radiotherapy Including Simultaneous Integrated Boost Techniques, Wenhua Cao, Mary Gronberg, Stephen Bilton, Hana Baroudi, Skylar Gay, Zhongxing Liao, Karen Hoffman, Laurence E Court

Faculty, Staff and Student Publications

Background: Recent studies have shown deep learning techniques are able to predict three-dimensional (3D) dose distributions of radiotherapy treatment plans. However, their use in dose prediction for treatments with varied prescription doses including simultaneous integrated boost (SIB), that is, using multiple prescription doses within the same plan, and benefit in improving plan quality should be validated.

Purpose: To investigate the feasibility and potential benefit of using deep learning to predict dose distribution of volumetric modulated arc therapy (VMAT) including SIB techniques and improve treatment planning for patients with lung cancer.

Methods: The dose prediction model was trained with 93 retrospective …

Justification, Margin Values, And Analysis Populations For Oncologic Noninferiority And Equivalence Trials: A Meta-Epidemiological Study, Troy J Kleber, Alexander D Sherry, Andrew J Arifin, Gabrielle S Kupferman, Ramez Kouzy, Timothy A Lin, Avital M Miller, Adina H Passy, Zachary R Mccaw, Pavlos Msaouel, Ethan B Ludmir

Faculty, Staff and Student Publications

Background: Noninferiority and equivalence trials evaluate whether an experimental therapy's effect on the primary endpoint is contained within an acceptable margin compared with standard of care. The reliability and impact of this conclusion, however, is largely dependent on the justification for this design, the choice of margin, and the analysis population used.

Methods: A meta-epidemiological study was performed of phase 3 randomized noninferiority and equivalence oncologic trials registered at ClinicalTrials.gov. Data were extracted from each trial's registration page and primary manuscript.

Results: We identified 65 noninferiority and 10 equivalence trials that collectively enrolled 61 632 patients. Of these, 61 (81%) …

Lefitolimod In Combination With Ipilimumab In Patients With Advanced Solid Tumors: A Phase I Trial, Mirella Nardo, Mohamed A Gouda, Matthew J Reilley, Amadeo B Biter, Joann Lim, Ly M Nguyen, Casey R Ager, Coline A Couillault, Sarina A Piha-Paul, Siqing Fu, Apostolia M Tsimberidou, Timothy A Yap, Aung Naing, Jordi Rodon, Vivek Subbiah, Daniel D Karp, Michael A Curran, David S Hong

Faculty, Staff and Student Publications

Introduction: TLR9 agonists are immunomodulators that have been of interest for combined use with cancer immunotherapy. TLR9 agonists, such as lefitolimod (MGN1703), significantly increased Th1 response in preclinical models and have demonstrated efficacy in early clinical trials. This trial assessed the safety and preliminary efficacy of the combination of lefitolimod and ipilimumab in patients with advanced solid tumors.

Methods: This was a single-center, open-label, investigator-initiated phase I trial conducted at The University of Texas MD Anderson Cancer Center. Patients received leftolimod either subcutaneously (at escalating doses of 15-120 mg) or intratumorally (at the maximum feasible dose) in combination with ipilimumab …

T2-Weighted Imaging Of Rectal Cancer Using A 3d Fast Spin Echo Sequence With And Without Deep Learning Reconstruction: A Reader Study, Dan Nguyen, Sarah Palmquist, Ken-Pin Hwang, Jingfei Ma, Usama Salem, Xinzeng Wang, Randy Ernst, Peng Wei, Harmeet Kaur, Nir Stanietzky

Faculty, Staff and Student Publications

Purpose: To compare image quality and clinical utility of a T2-weighted (T2W) 3-dimensional (3D) fast spin echo (FSE) sequence using deep learning reconstruction (DLR) versus conventional reconstruction for rectal magnetic resonance imaging (MRI).

Methods: The study included 50 patients with rectal cancer who underwent rectal MRI consecutively between July 7, 2020 and January 20, 2021 using a T2W 3D FSE sequence with DLR and conventional reconstruction. Three radiologists reviewed the two sets of images, scoring overall SNR, motion artifacts, and overall image quality on a 3-point scale and indicating clinical preference for DLR or conventional reconstruction based on those three …

Multiparametric Mri Scoring System Of The Pancreas For The Diagnosis Of Chronic Pancreatitis, Temel Tirkes, Dhiraj Yadav, Darwin L Conwell, Xuandong Zhao, Anil K Dasyam, Aashish Patel, Jordan Swensson, Naoki Takahashi, Sudhakar Venkatesh, Ashley Wachsman, Liang Li, Kristofer Jennings, Yunlong Yang, Phil A Hart, Stephen J Pandol, Walter G Park, Santhi Swaroop Vege, Mark Topazian, Paul R Territo, Scott A Persohn, Dana K Andersen, Evan L Fogel, Consortium For The Study Of Chronic Pancreatitis, Diabetes, And Pancreatic Cancer (Cpdpc)

Faculty, Staff and Student Publications

Background: Ductal features alone may not offer high diagnostic sensitivity or most accurate disease severity of chronic pancreatitis (CP).

Purpose: Diagnose CP based on multiparametric MRI and MRCP features.

Study type: Prospective.

Population: Between February 2019 and May 2021, 46 control (23 males, 49.3 ± 14.1 years), 45 suspected (20 males, 48.7 ± 12.5 years), and 46 definite (20 males, 53.7 ± 14.6 years) CP patients were enrolled at seven hospitals enrolled in the MINIMAP study. CP classification was based on imaging findings and clinical presentation.

Field strength and sequences: 1.5 T. T1-weighted (T1W) spoiled gradient echo, T1 map with …