Medical Sciences Commons^™

Renal-Hepatic-Pancreatic Dysplasia Type 2: Perinatal Lethal Condition Or A Multisystemic Disorder With Variable Expressivity, Kathryn Gunther, Essam M Imseis, Joyce P Samuel, Elizabeth A Hillman, Tiina H Ojala, Timo Jahnukainen, Paul R Hillman

Faculty, Staff and Student Publications

BACKGROUND: Renal-hepatic-pancreatic dysplasia type 2 (RHPD2) is a rare condition that has been described in the literature disproportionately in perinatal losses. The main features of liver and kidney involvement are well described, with cardiac malformations and cardiomyopathy adding additional variation to the phenotype. Many patients reported are within larger cohorts of congenital anomalies of kidney and urinary tract (CAKUT) or liver failure, and with minimal phenotypic and clinical course data.

METHODS: An independent series of phenotypes and prognosis was aggregated from the literature. In this literature review, we describe an additional patient with RHPD2, provide a clinical update on the …

Institutional Strategies To Maintain And Grow Imaging Research During The Covid-19 Pandemic, Mai-Lan Ho, Corey W Arnold, Summer J Decker, John D Hazle, Elizabeth A Krupinski, David A Mankoff

Faculty, Staff and Student Publications

Understanding imaging research experiences, challenges, and strategies for academic radiology departments during and after COVID-19 is critical to prepare for future disruptive events. We summarize key insights and programmatic initiatives at major academic hospitals across the world, based on literature review and meetings of the Radiological Society of North America Vice Chairs of Research (RSNA VCR) group. Through expert discussion and case studies, we provide suggested guidelines to maintain and grow radiology research in the postpandemic era.

Dnmt3a-Coordinated Splicing Governs The Stem State Switch Towards Differentiation In Embryonic And Haematopoietic Stem Cells, Raghav Ramabadran, Jarey H Wang, Jaime M Reyes, Anna G Guzman, Sinjini Gupta, Carina Rosas, Lorenzo Brunetti, Michael C Gundry, Ayala Tovy, Hali Long, Tianpeng Gu, Sean M Cullen, Siddhartha Tyagi, Danielle Rux, Jean J Kim, Steven M Kornblau, Michael Kyba, Fabio Stossi, Rachel E Rau, Koichi Takahashi, Thomas F Westbrook, Margaret A Goodell

Faculty, Staff and Student Publications

Upon stimulation by extrinsic stimuli, stem cells initiate a programme that enables differentiation or self-renewal. Disruption of the stem state exit has catastrophic consequences for embryogenesis and can lead to cancer. While some elements of this stem state switch are known, major regulatory mechanisms remain unclear. Here we show that this switch involves a global increase in splicing efficiency coordinated by DNA methyltransferase 3α (DNMT3A), an enzyme typically involved in DNA methylation. Proper activation of murine and human embryonic and haematopoietic stem cells depends on messenger RNA processing, influenced by DNMT3A in response to stimuli. DNMT3A coordinates splicing through recruitment …

Pocketnet: A Smaller Neural Network For Medical Image Analysis, Adrian Celaya, Jonas A Actor, Rajarajesawari Muthusivarajan, Evan Gates, Caroline Chung, Dawid Schellingerhout, Beatrice Riviere, David Fuentes

Faculty, Staff and Student Publications

Medical imaging deep learning models are often large and complex, requiring specialized hardware to train and evaluate these models. To address such issues, we propose the PocketNet paradigm to reduce the size of deep learning models by throttling the growth of the number of channels in convolutional neural networks. We demonstrate that, for a range of segmentation and classification tasks, PocketNet architectures produce results comparable to that of conventional neural networks while reducing the number of parameters by multiple orders of magnitude, using up to 90% less GPU memory, and speeding up training times by up to 40%, thereby allowing …

Well-Being Content Inclusion In Pharmacy Education Across The United States And Canada, Elizabeth Buckley, Simi Gunaseelan, Benjamin D Aronson, Heidi N Anksorus, Victoria Belousova, Tram B Cat, Kristine M Cline, Stacey D Curtis, Christina E Deremer, David Fuentes, Mckenzie S Grinalds, Seena L Haines, Hannah E Johnson, Karen Kopacek, Jessica M Louie, Nkem P Nonyel, Natasha Petry, Shawn Riser Taylor, Suzanne C Harris, Cheryl A Sadowski, Anandi V Law

Faculty, Staff and Student Publications

Objective. To describe the landscape of well-being content inclusion across schools and colleges of pharmacy in the United States and Canada through identification of content implementation, incorporation, and assessment.

Methods. A cross-sectional survey was distributed to all accredited schools and colleges of pharmacy in the United States (n=143) and Canada (n=10). Survey questions included curricular and cocurricular timing, frequency, assessment strategies, and support for well-being initiatives, using a framework of eight dimensions (pillars) of wellness to categorize content.

Results. Descriptive data analyses were applied to 99 completed surveys (65%), 89 (62%) in the United States and 10 (100%) in Canada. …

Wwox P47t Partial Loss-Of-Function Mutation Induces Epilepsy, Progressive Neuroinflammation, And Cerebellar Degeneration In Mice Phenocopying Human Scar12, Tabish Hussain, Kevin Sanchez, Jennifer Crayton, Dhurjhoti Saha, Collene Jeter, Yue Lu, Martin Abba, Ryan Seo, Jeffrey L Noebels, Laura Fonken, C Marcelo Aldaz

Faculty, Staff and Student Publications

WWOX gene loss-of-function (LoF) has been associated with neuropathologies resulting in developmental, epileptic, and ataxic phenotypes of varying severity based on the level of WWOX dysfunction. WWOX gene biallelic germline variant p.Pro47Thr (P47T) has been causally associated with a new form of autosomal recessive cerebellar ataxia with epilepsy and intellectual disability (SCAR12, MIM:614322). This mutation affecting the WW1 protein binding domain of WWOX, impairs its interaction with canonical proline-proline-X-tyrosine motifs in partner proteins. We generated a mutant knock-in mouse model of Wwox P47T mutation that phenocopies human SCAR12. Wwox

Model-Constrained Reconstruction Accelerated With Fourier-Based Undersampling For Hyperpolarized [1-13c] Pyruvate Imaging, Zhan Xu, Keith A Michel, Christopher M Walker, Collin J Harlan, Gary V Martinez, Jeremy W Gordon, Hsin-Yu Chen, Daniel B Vigneron, James A Bankson

Faculty, Staff and Student Publications

PURPOSE: Model-constrained reconstruction with Fourier-based undersampling (MoReFUn) is introduced to accelerate the acquisition of dynamic MRI using hyperpolarized [1-

METHODS: The MoReFUn method resolves spatial aliasing using constraints introduced by a pharmacokinetic model that describes the signal evolution of both pyruvate and lactate. Acceleration was evaluated on three single-channel data sets: a numerical digital phantom that is used to validate the accuracy of reconstruction and model parameter restoration under various SNR and undersampling ratios, prospectively and retrospectively sampled data of an in vitro dynamic multispectral phantom, and retrospectively undersampled imaging data from a prostate cancer patient to test the fidelity …

Renal-Hepatic-Pancreatic Dysplasia Type 2: Perinatal Lethal Condition Or A Multisystemic Disorder With Variable Expressivity, Kathryn Gunther, Essam M Imseis, Joyce P Samuel, Elizabeth A Hillman, Tiina H Ojala, Timo Jahnukainen, Paul R Hillman

Faculty, Staff and Student Publications

BACKGROUND: Renal-hepatic-pancreatic dysplasia type 2 (RHPD2) is a rare condition that has been described in the literature disproportionately in perinatal losses. The main features of liver and kidney involvement are well described, with cardiac malformations and cardiomyopathy adding additional variation to the phenotype. Many patients reported are within larger cohorts of congenital anomalies of kidney and urinary tract (CAKUT) or liver failure, and with minimal phenotypic and clinical course data.

METHODS: An independent series of phenotypes and prognosis was aggregated from the literature. In this literature review, we describe an additional patient with RHPD2, provide a clinical update on the …

Lipid Nanoparticle-Mediated Mrna Delivery In Lung Fibrosis, Matteo Massaro, Suhong Wu, Gherardo Baudo, Haoran Liu, Scott Collum, Hyunho Lee, Cinzia Stigliano, Victor Segura-Ibarra, Harry Karmouty-Quintana, Elvin Blanco

Faculty, Staff and Student Publications

mRNA delivery enables the specific synthesis of proteins with therapeutic potential, representing a powerful strategy in diseases lacking efficacious pharmacotherapies. Idiopathic pulmonary fibrosis (IPF) is a chronic lung disease characterized by excessive extracellular matrix (ECM) deposition and subsequent alveolar remodeling. Alveolar epithelial type 2 cells (AEC2) and fibroblasts represent important targets in IPF given their role in initiating and driving aberrant wound healing responses that lead to excessive ECM deposition. Our objective was to examine a lipid nanoparticle (LNP)-based mRNA construct as a viable strategy to target alveolar epithelial cells and fibroblasts in IPF. mRNA-containing LNPs measuring ∼34 nm had …

Augmentation Of Bmp Signaling In Cranial Neural Crest Cells Leads To Premature Cranial Sutures Fusion Through Endochondral Ossification In Mice, Hiroki Ueharu, Haichun Pan, Xia Liu, Mamoru Ishii, Jessica Pongetti, Anshul K Kulkarni, Folasade E Adegbenro, Jaden Wurn, Robert E Maxson, Hongchen Sun, Yoshihiro Komatsu, Honghao Zhang, Jingwen Yang, Yuji Mishina

Faculty, Staff and Student Publications

Craniosynostosis is a congenital anomaly characterized by the premature fusion of cranial sutures. Sutures are a critical connective tissue that regulates bone growth; their aberrant fusion results in abnormal shapes of the head and face. The molecular and cellular mechanisms have been investigated for a long time, but knowledge gaps remain between genetic mutations and mechanisms of pathogenesis for craniosynostosis. We previously demonstrated that the augmentation of bone morphogenetic protein (BMP) signaling through constitutively active BMP type 1A receptor (caBmpr1a) in neural crest cells (NCCs) caused the development of premature fusion of the anterior frontal suture, leading to craniosynostosis in …

Ablative Margins Of Colorectal Liver Metastases Using Deformable Ct Image Registration And Autosegmentation, Yuan-Mao Lin, Iwan Paolucci, Caleb S O'Connor, Brian M Anderson, Bastien Rigaud, Bryan M Fellman, Kyle A Jones, Kristy K Brock, Bruno C Odisio

Faculty, Staff and Student Publications

Background

Confirming ablation completeness with sufficient ablative margin is critical for local tumor control following colorectal liver metastasis (CLM) ablation. An image-based confirmation method considering patient- and ablation-related biomechanical deformation is an unmet need.

Purpose

To evaluate a biomechanical deformable image registration (DIR) method for three-dimensional (3D) minimal ablative margin (MAM) quantification and the association with local disease progression following CT-guided CLM ablation.

Materials and Methods

This single-institution retrospective study included patients with CLM treated with CT-guided microwave or radiofrequency ablation from October 2015 to March 2020. A biomechanical DIR method with AI-based autosegmentation of liver, tumors, and ablation zones …

Quality Assurance Assessment Of Intra-Acquisition Diffusion-Weighted And T2-Weighted Magnetic Resonance Imaging Registration And Contour Propagation For Head And Neck Cancer Radiotherapy, Mohamed A Naser, Kareem A Wahid, Sara Ahmed, Vivian Salama, Cem Dede, Benjamin W Edwards, Ruitao Lin, Brigid Mcdonald, Travis C Salzillo, Renjie He, Yao Ding, Moamen Abobakr Abdelaal, Daniel Thill, Nicolette O'Connell, Virgil Willcut, John P Christodouleas, Stephen Y Lai, Clifton D Fuller, Abdallah S R Mohamed

Faculty, Staff and Student Publications

BACKGROUND/PURPOSE: Adequate image registration of anatomical and functional magnetic resonance imaging (MRI) scans is necessary for MR-guided head and neck cancer (HNC) adaptive radiotherapy planning. Despite the quantitative capabilities of diffusion-weighted imaging (DWI) MRI for treatment plan adaptation, geometric distortion remains a considerable limitation. Therefore, we systematically investigated various deformable image registration (DIR) methods to co-register DWI and T2-weighted (T2W) images.

MATERIALS/METHODS: We compared three commercial (ADMIRE, Velocity, Raystation) and three open-source (Elastix with default settings [Elastix Default], Elastix with parameter set 23 [Elastix 23], Demons) post-acquisition DIR methods applied to T2W and DWI MRI images acquired during the same …

Effect Of The Physical Fibrillated Sweet Potato (Ipomoea Batatas) Stem On The Plant-Based Patty Analogues, Suyoon Lee, You Young Lee, Yang Kim, Seung Hwan Ham, Min Gyu Lee, Jungwoo Hahn, Young Jin Choi

Faculty, Staff and Student Publications

In this study, a dietary fiber extracted from sweet potato stems (Ipomoea batatas, PS) was evaluated for its ability to improve the quality of vegetable patty analogues. A patty analogues containing 0–50 wt% dietary fiber were prepared to analyze the utilized dietary fiber's performance. To evaluate the manufactured patty analogues, texture profile analysis, color analysis, emulsion stability, and microstructural analysis were conducted. As the PS increased, the hardness decreased, while the total expressible fluids tended to increase. The color analysis revealed that the a* value, which represents red, declined as the PS content increased, and heterogeneous colors showed …

Covid-19 And Employee Job Performance Trajectories: The Moderating Effect Of Different Sources Of Status, Xin Liu, Xiaoming Zheng, Byron Y Lee, Yu Yu, Mengyi Zhang

Faculty, Staff and Student Publications

This study investigates the impact of the COVID-19 pandemic on employee job performance trajectories, and further examines the moderating effects of different sources of status. Drawing from event system theory (EST), we propose that employee job performance decreases upon COVID-19 onset, but gradually increases during the postonset period. Furthermore, we argue that status from society, occupation, and workplace functions to moderate such performance trajectories. We test our hypotheses with a unique dataset of 708 employees that combines survey responses and job performance archival data over 21 consecutive months (10,808 observations) spanning the preonset, onset, and postonset periods of the initial …

Proteomic Predictors Of Incident Diabetes: Results From The Atherosclerosis Risk In Communities (Aric) Study, Mary R Rooney, Jingsha Chen, Justin B Echouffo-Tcheugui, Keenan A Walker, Pascal Schlosser, Aditya Surapaneni, Olive Tang, Jinyu Chen, Christie M Ballantyne, Eric Boerwinkle, Chiadi E Ndumele, Ryan T Demmer, James S Pankow, Pamela L Lutsey, Lynne E Wagenknecht, Yujian Liang, Xueling Sim, Rob Van Dam, E Shyong Tai, Morgan E Grams, Elizabeth Selvin, Josef Coresh

Faculty, Staff and Students Publications

Objective: The plasma proteome preceding diabetes can improve our understanding of diabetes pathogenesis.

Research design and methods: In 8,923 Atherosclerosis Risk in Communities (ARIC) Study participants (aged 47-70 years, 57% women, 19% Black), we conducted discovery and internal validation for associations of 4,955 plasma proteins with incident diabetes. We externally validated results in the Singapore Multi-Ethnic Cohort (MEC) nested case-control (624 case subjects, 1,214 control subjects). We used Cox regression to discover and validate protein associations and risk-prediction models (elastic net regression with cardiometabolic risk factors and proteins) for incident diabetes. We conducted a pathway analysis and examined causality using …

Inconsistent Partitioning And Unproductive Feature Associations Yield Idealized Radiomic Models, Mishka Gidwani, Ken Chang, Jay Biren Patel, Katharina Viktoria Hoebel, Syed Rakin Ahmed, Praveer Singh, Clifton David Fuller, Jayashree Kalpathy-Cramer

Faculty, Staff and Student Publications

Background Radiomics is the extraction of predefined mathematic features from medical images for the prediction of variables of clinical interest. While some studies report superlative accuracy of radiomic machine learning (ML) models, the published methodology is often incomplete, and the results are rarely validated in external testing data sets. Purpose To characterize the type, prevalence, and statistical impact of methodologic errors present in radiomic ML studies. Materials and Methods Radiomic ML publications were reviewed for the presence of performance-inflating methodologic flaws. Common flaws were subsequently reproduced with randomly generated features interpolated from publicly available radiomic data sets to demonstrate the …

Total Daily Energy Expenditure Has Declined Over The Past Three Decades Due To Declining Basal Expenditure, Not Reduced Activity Expenditure, John R Speakman, Jasper M A De Jong, Srishti Sinha, Klaas R Westerterp, Yosuke Yamada, Hiroyuki Sagayama, Philip N Ainslie, Liam J Anderson, Lenore Arab, Kweku Bedu-Addo, Stephane Blanc, Alberto G Bonomi, Pascal Bovet, Soren Brage, Maciej S Buchowski, Nancy F Butte, Stefan G J A Camps, Jamie A Cooper, Richard Cooper, Sai Krupa Das, Peter S W Davies, Lara R Dugas, Ulf Ekelund, Sonja Entringer, Terrence Forrester, Barry W Fudge, Melanie Gillingham, Santu Ghosh, Annelies H Goris, Michael Gurven, Lewis G Halsey, Catherine Hambly, Hinke H Haisma, Daniel Hoffman, Sumei Hu, Annemiek M Joosen, Jennifer L Kaplan, Peter Katzmarzyk, William E Kraus, Robert F Kushner, William R Leonard, Marie Löf, Corby K Martin, Eric Matsiko, Anine C Medin, Erwin P Meijer, Marian L Neuhouser, Theresa A Nicklas, Robert M Ojiambo, Kirsi H Pietiläinen, Jacob Plange-Rhule, Guy Plasqui, Ross L Prentice, Susan B Racette, David A Raichlen, Eric Ravussin, Leanne M Redman, Susan B Roberts, Michael C Rudolph, Luis B Sardinha, Albertine J Schuit, Analiza M Silva, Eric Stice, Samuel S Urlacher, Giulio Valenti, Ludo M Van Etten, Edgar A Van Mil, Brian M Wood, Jack A Yanovski, Tsukasa Yoshida, Xueying Zhang, Alexia J Murphy-Alford, Cornelia U Loechl, Anura Kurpad, Amy H Luke, Herman Pontzer, Matthew S Rodeheffer, Jennifer Rood, Dale A Schoeller, William W Wong

Faculty, Staff and Student Publications

Obesity is caused by prolonged positive energy balance1,2. Whether reduced energy expenditure stemming from reduced activity levels contributes, is debated3,4. Here we used the IAEA DLW database on energy expenditure of adults in the USA and Europe (n = 4799) to explore patterns in total (TEE: n=4799), basal (BEE: n = 1432) and physical activity energy expenditure (AEE: n = 1432) over time. In both sexes total energy expenditure (TEE) adjusted for body composition and age declined with time, while adjusted AEE increased over time. In males adjusted BEE decreased significantly, but …

A Non-Antibiotic-Disrupted Gut Microbiome Is Associated With Clinical Responses To Cd19-Car-T Cell Cancer Immunotherapy, Christoph K Stein-Thoeringer, Neeraj Y Saini, Eli Zamir, Viktoria Blumenberg, Maria-Luisa Schubert, Uria Mor, Matthias A Fante, Sabine Schmidt, Eiko Hayase, Tomo Hayase, Roman Rohrbach, Chia-Chi Chang, Lauren Mcdaniel, Ivonne Flores, Rogier Gaiser, Matthias Edinger, Daniel Wolff, Martin Heidenreich, Paolo Strati, Ranjit Nair, Dai Chihara, Luis E Fayad, Sairah Ahmed, Swaminathan P Iyer, Raphael E Steiner, Preetesh Jain, Loretta J Nastoupil, Jason Westin, Reetakshi Arora, Michael L Wang, Joel Turner, Meghan Menges, Melanie Hidalgo-Vargas, Kayla Reid, Peter Dreger, Anita Schmitt, Carsten Müller-Tidow, Frederick L Locke, Marco L Davila, Richard E Champlin, Christopher R Flowers, Elizabeth J Shpall, Hendrik Poeck, Sattva S Neelapu, Michael Schmitt, Marion Subklewe, Michael D Jain, Robert R Jenq, Eran Elinav

Faculty, Staff and Student Publications

Increasing evidence suggests that the gut microbiome may modulate the efficacy of cancer immunotherapy. In a B cell lymphoma patient cohort from five centers in Germany and the United States (Germany, n = 66; United States, n = 106; total, n = 172), we demonstrate that wide-spectrum antibiotics treatment ('high-risk antibiotics') prior to CD19-targeted chimeric antigen receptor (CAR)-T cell therapy is associated with adverse outcomes, but this effect is likely to be confounded by an increased pretreatment tumor burden and systemic inflammation in patients pretreated with high-risk antibiotics. To resolve this confounding effect and gain insights into antibiotics-masked microbiome signals …

Aerosolized Immunotherapeutic Nanoparticle Inhalation Potentiates Pd-L1 Blockade For Locally Advanced Lung Cancer, Yang Liu, William N Crowe, Lulu Wang, W Jeffrey Petty, Amyn A Habib, Dawen Zhao

Faculty, Staff and Student Publications

Despite therapeutic advancements, the prognosis of locally advanced non-small cell lung cancer (LANSCLC), which has invaded multiple lobes or the other lung and intrapulmonary lymph nodes, remains poor. The emergence of immunotherapy with immune checkpoint blockade (ICB) is transforming cancer treatment. However, only a fraction of lung cancer patients benefit from ICB. Significant clinical evidence suggests that the proinflammatory tumor microenvironment (TME) and programmed death-ligand 1 (PD-L1) expression correlate positively with response to the PD-1/PD-L1 blockade. We report here a liposomal nanoparticle loaded with cyclic dinucleotide and aerosolized (AeroNP-CDN) for inhalation delivery to deep-seated lung tumors and target CDN to …

Comparative Analysis Of Dimension Reduction Methods For Cytometry By Time-Of-Flight Data, Kaiwen Wang, Yuqiu Yang, Fangjiang Wu, Bing Song, Xinlei Wang, Tao Wang

Faculty, Staff and Student Publications

While experimental and informatic techniques around single cell sequencing (scRNA-seq) are advanced, research around mass cytometry (CyTOF) data analysis has severely lagged behind. CyTOF data are notably different from scRNA-seq data in many aspects. This calls for the evaluation and development of computational methods specific for CyTOF data. Dimension reduction (DR) is one of the critical steps of single cell data analysis. Here, we benchmark the performances of 21 DR methods on 110 real and 425 synthetic CyTOF samples. We find that less well-known methods like SAUCIE, SQuaD-MDS, and scvis are the overall best performers. In particular, SAUCIE and scvis …

Patient Radiation Doses In Interventional Radiology Procedures: Comparison Of Fluoroscopy Dose Indices Between The American College Of Radiology Dose Index Registry-Fluoroscopy Pilot And The Radiation Doses In Interventional Radiology Study, A Kyle Jones, Kevin A Wunderle, Tom Fruscello, Michael Simanowith, Brendan Cline, Shalmali Dharmadhikari, Xinhui Duan, Jeremy C Durack, David Hirschl, Don-Soo Kim, Usman Mahmood, Steve D Mann, Charles Martin, Zeyad Metwalli, Jeffrey M Moirano, Rebecca A Neill, Janice Newsome, Horacio Padua, Alan H Schoenfeld, Donald L Miller

Faculty, Staff and Student Publications

Purpose: To compare radiation dose index distributions for fluoroscopically guided interventions in interventional radiology from the American College of Radiology (ACR) Fluoroscopy Dose Index Registry (DIR-Fluoro) pilot to those from the Radiation Doses in Interventional Radiology (RAD-IR) study.

Materials and methods: Individual and grouped ACR Common identification numbers (procedure types) from the DIR-Fluoro pilot were matched to procedure types in the RAD-IR study. Fifteen comparisons were made. Distribution parameters, including the 10th, 25th, 50th, 75th, and 95th percentiles, were compared for fluoroscopy time (FT), cumulative air kerma (Ka,r), and kerma area product (PKA). Two derived indices were computed using median …

Patient Radiation Doses In Ir Procedures: The American College Of Radiology Dose Index Registry-Fluoroscopy Pilot, A Kyle Jones, Kevin A Wunderle, Tom Fruscello, Michael Simanowith, Brendan Cline, Shalmali Dharmadhikari, Xinhui Duan, Jeremy C Durack, David Hirschl, Don-Soo Kim, Usman Mahmood, Steve D Mann, Charles Martin, Zeyad Metwalli, Jeffrey M Moirano, Rebecca A Neill, Janice Newsome, Horacio Padua, Alan H Schoenfeld, Donald L Miller

Faculty, Staff and Student Publications

Purpose: To update normative data on fluoroscopy dose indices in the United States for the first time since the Radiation Doses in Interventional Radiology study in the late 1990s.

Materials and methods: The Dose Index Registry-Fluoroscopy pilot study collected data from March 2018 through December 2019, with 50 fluoroscopes from 10 sites submitting data. Primary radiation dose indices including fluoroscopy time (FT), cumulative air kerma (Ka,r), and kerma area product (PKA) were collected for interventional radiology fluoroscopically guided interventional (FGI) procedures. Clinical facility procedure names were mapped to the American College of Radiology (ACR) common procedure lexicon. Distribution parameters including …

Artificial Intelligence-Based Ct Assessment Of Bronchiectasis: The Copdgene Study, Alejandro A Díaz, Pietro Nardelli, Wei Wang, Rubén San José Estépar, Andrew Yen, Seth Kligerman, Diego J Maselli, Wojciech R Dolliver, Andrew Tsao, José L Orejas, Stefano Aliberti, Timothy R Aksamit, Kendra A Young, Gregory L Kinney, George R Washko, Edwin K Silverman, Raúl San José Estépar

Faculty, Staff and Student Publications

Background

CT is the standard method used to assess bronchiectasis. A higher airway-to-artery diameter ratio (AAR) is typically used to identify enlarged bronchi and bronchiectasis; however, current imaging methods are limited in assessing the extent of this metric in CT scans.

Purpose

To determine the extent of AARs using an artificial intelligence–based chest CT and assess the association of AARs with exacerbations over time.

Materials and Methods

In a secondary analysis of ever-smokers from the prospective, observational, multicenter COPDGene study, AARs were quantified using an artificial intelligence tool. The percentage of airways with AAR greater than 1 (a measure of …

Quantification Of The Role Of Lead Foil In Flattening Filter Free Beam Reference Dosimetry, Song Gao, Christopher Nelson, Congjun Wang, Vindu Kathriarachchi, Michael Choi, Rishik Saxena, Robin Kendall, Peter Balter

Faculty, Staff and Student Publications

PURPOSE: To quantify the potential error in outputs for flattening filter free (FFF) beams associated with use of a lead foil in beam quality determination per the addendum protocol for TG-51, we examined differences in measurements of the beam quality conversion factor k

METHODS: Two FFF beams, a 6 MV FFF and a 10 MV FFF, were calibrated on eight Varian TrueBeams and two Elekta Versa HD linear accelerators (linacs) according to the TG-51 addendum protocol by using Farmer ionization chambers [TN 30013 (PTW) and SNC600c (Sun Nuclear)] with traceable absorbed dose-to-water calibrations. In determining k

RESULTS: Differences in %dd(10)x …

Long-Term Outcomes Of Allogeneic Hematopoietic Cell Transplantation In Patients With Newly Diagnosed Multiple Myeloma, Aimaz Afrough, Leonard C Alsfeld, Denái R Milton, Ruby Delgado, Uday R Popat, Yago Nieto, Partow Kebriaei, Betul Oran, Neeraj Saini, Samer Srour, Chitra Hosing, Faisal H Cheema, Sairah Ahmed, Elisabet E Manasanch, Hans C Lee, Gregory P Kaufman, Krina K Patel, Donna M Weber, Robert Z Orlowski, Chelsea C Pinnix, Bouthaina S Dabaja, Sheeba K Thomas, Richard E Champlin, Elizabeth J Shpall, Muzaffar H Qazilbash, Qaiser Bashir

Faculty, Staff and Student Publications

Despite remarkable progress in survival with the availability of novel agents, an overwhelming majority of patients with multiple myeloma (MM) have disease that relapses. Allogeneic (allo-) hematopoietic cell transplantation (HCT) is a potentially curative option for a subgroup of patients with high-risk MM. This study assessed the long-term outcome of MM patients who underwent allo-HCT while in first remission as consolidation treatment. Thirty-three patients with newly diagnosed MM who underwent allo-HCT as part of consolidation therapy between 1994 and 2016 were reviewed retrospectively. Of these patients, 70% underwent autologous HCT before allo-HCT. All patients were chemosensitive and achieved at least …

Data Partitioning And Statistical Considerations For Association Of Radiomic Features To Biological Underpinnings: What Is Needed, Michael A Jacobs

Faculty, Staff and Student Publications

No abstract provided.

Integrative Clinical And Genomic Characterization Of Mtap-Deficient Metastatic Urothelial Cancer, Omar Alhalabi, Yueting Zhu, Ameer Hamza, Wei Qiao, Yiyun Lin, Raymond M Wang, Amishi Y Shah, Matthew T Campbell, Vijaykumar Holla, Ashish Kamat, Wei-Lien Wang, Jennifer Wang, Jianfeng Chen, Jieru Meng, Miao Zhang, Jolanta Bondaruk, Mark Titus, Giannicola Genovese, Bogdan A Czerniak, Kenna R Shaw, Funda Meric-Bernstam, Charles C Guo, Christopher J Logothetis, Arlene Siefker-Radtke, Pavlos Msaouel, Linghua Wang, Jiyan Liu, Jianjun Gao

Faculty, Staff and Student Publications

Deficiency of MTAP (MTAPdef) mainly occurs because of homozygous loss of chromosome 9p21, which is the most common copy-number loss in metastatic urothelial cancer (mUC). We characterized the clinical and genomic features of MTAPdef mUC in 193 patients treated at MD Anderson Cancer Center (MDACC) and 298 patients from the phase 2 IMvigor210 trial, which investigated atezolizumab in cisplatin-ineligible and platinum-refractory disease. In the MDACC cohort, visceral metastases were significantly more common for MTAPdef (n = 48) than for MTAP-proficient (MTAPprof; n = 145) patients (75% vs 55.2%; p = 0.02). MTAPdef was associated with poor prognosis (median overall …

Integrated Pathologic Score Effectively Stratifies Patients With Pancreatic Ductal Adenocarcinoma Who Received Neoadjuvant Therapy And Pancreaticoduodenectomy, Aaron J Sohn, Mehran Taherian, Matthew H G Katz, Laura R Prakash, Deyali Chatterjee, Hua Wang, Michael Kim, Ching-Wei D Tzeng, Jeffrey E Lee, Naruhiko Ikoma, Asif Rashid, Robert A Wolff, Dan Zhao, Eugene J Koay, Ryan Sun, Anirban Maitra, Huamin Wang

Faculty, Staff and Student Publications

Neoadjuvant therapy is increasingly used to treat patients with pancreatic ductal adenocarcinoma (PDAC). Pathologic parameters of treated PDAC, including tumor (ypT) and lymph node (ypN) stage, and tumor response grading (TRG) are important prognostic factors in this group of patients. To our knowledge, a multifactorial prognostic score combining pathologic features including ypT, ypN, and TRG in treated PDAC patients has not been reported. Our cohort consisted of 398 PDAC patients who received neoadjuvant therapy and underwent pancreaticoduodenectomy at our institution. All pancreaticoduodenectomy specimens were grossly and microscopically evaluated using a standard protocol. The integrated pathologic score (IPS) was calculated as …

In Vitro Activity Of Eravacycline And Comparator Agents Against Bacterial Pathogens Isolated From Patients With Cancer, Kenneth Rolston, Bahgat Gerges, Lior Nesher, Samuel A Shelburne, Randall Prince, Issam Raad

Faculty, Staff and Student Publications

BACKGROUND: Bacterial infections are common in patients with cancer, and many bacteria have developed resistance to currently used antibiotics.

OBJECTIVES: We evaluated the

METHODS: Antimicrobial susceptibility testing was performed using CLSI-approved methodology and interpretive criteria for 255 Gram-positive and 310 Gram-negative bacteria. MIC and susceptibility percentage were calculated according to CLSI and FDA breakpoints when available.

RESULTS: Eravacycline had potent activity against most Gram-positive bacteria, including MRSA. Of 80 Gram-positive isolates with available breakpoints, 74 (92.5%) were susceptible to eravacycline. Eravacycline had potent activity against most Enterobacterales, including ESBL-producing organisms. Of 230 Gram-negative isolates with available breakpoints, 201 (87.4%) were …

Association Between Employer-Based Health Promotion Programs And Adherence To Breast Cancer Screening In Texas, Monalisa Chandra, Robert Yu, Sanjay Shete

Faculty, Staff and Student Publications

Breast cancer is the most common cancer diagnosed among women in Texas. Although adherence to recommended screening mammogram guidelines enables early detection and reduces breast cancer risks, screening mammogram adherence is low in Texas. With the rising percentage of women in the workforce, employer-based health promotion programs could be an effective measure in increasing mammogram adherence, thereby reducing breast cancer risk in Texas. Although employer-based health programs are common in the state, little is known about their effectiveness in increasing screening mammogram adherence among age-eligible employed females. The study survey was administered using Qualtrics and the study participants were representative …