Radiology Commons^™

The History Of Women In Neuroradiology In North America From 1990 To The Present, Vijay M. Rao

Department of Radiology Faculty Papers

From 1990 to 2024, women neuroradiologists in North America have made tremendous progress in the areas of leadership, clinical innovation, research, education, diversity, equity and inclusion, and global outreach. This chapter begins with summaries of their key accomplishments in four broad domains, followed by short biographical sketches of numerous luminaries organized by leadership roles and areas of expertise, and ending with conclusions and future directions.

A Framework For Digital Energy Modulation And Translation In Projectional X-Ray Imaging, Richard R. Wargo

Theses and Dissertations

In projectional X-ray imaging, acquisition energy fundamentally influences subject contrast, image noise, and radiation dose. While dual-energy techniques exploit spectral differences to optimize contrast and enable material separation, acquiring multiple images of the same anatomy often requires additional exposures and increased system complexity.

This dissertation presents a framework for digital energy modulation (DEM), in which computational models are trained to translate projection images between energy domains without requiring additional X-ray acquisitions. DEM is conceived as a generalizable strategy for controlled contrast modulation in projection imaging, with potential applications in image optimization, radiation therapy alignment, and dual-energy applications.

The framework was …

Pathways And Challenges In The Clinical Translational Of Radiopharmaceuticals For Pediatric Investigations, Erik Stauff, Hanieh Karimi, Heidi H. Kecskemethy, Thomas H. Shaffer, Reza Vali, Lauren W. Averill, Xuyi Yue

Department of Radiology Faculty Papers

Radiopharmaceutical development and clinical translation face numerous scientific, ethical, and regulatory challenges, particularly within the pediatric population. Although molecular imaging holds significant promise for improving diagnosis and treatment across a spectrum of diseases, including pediatric-specific conditions like Kawasaki disease, autism spectrum disorders, attention-deficit/hyperactivity disorder, and neuroblastoma, the path from discovery to clinical application remains problematic. The U.S. Food and Drug Administration (FDA) provides three primary pathways-traditional Investigational New Drug (IND) applications, exploratory Investigational New Drug application (eIND), and the Radioactive Drug Research Committee (RDRC) mechanism-to facilitate clinical translation of radiotracers. However, these frameworks are not specifically tailored to pediatric needs. …

Identifying Sex- And Gender-Specific Endocrinological, Lifestyle, Psychosocial, And Socio-Cultural Targets For Alzheimer's Disease Prevention In Africans: The Female Brain Health And Endocrine Research In Africa (Fember-Africa) Project, Chinedu Momoh, Benard Aliwa, Lukoye Atwoli, Karen Blackmon, Edna Bosire, Samuel Gitau, Harrison Kaleli, Ciru Kamanda, Linda Khakali, Rachel Maina, Peter Mativo, Sylvia Mbugua, Zul Merali, Kendi Muchungi, Anne Njogu, Douglas Nyankira, Alice Ondieki, Catherine Onyancha, Stanely Onyango, Jasmit Shah, Sheena Shah, Cynthia Smith, Dilraj Sokhi, Sheila Waa, Thomas Thesen

Brain and Mind Institute

Dementia rates are rising globally, with the burden increasing most rapidly in low- tomiddle-income countries. Despite this, research into Alzheimer’s disease and relateddementias (ADRD) among African populations remains limited, with existing modelsbased on Western cohorts that overlook sex-, gender-, and ancestry-specific factors.The Female Brain Health and Endocrine Research in Africa (FemBER-Africa) project,hosted at the Brain and Mind Institute, Aga Khan University, Kenya, will establish adeeply phenotyped cohort of 250 African individuals across the ADRD spectrum. Itwill assess sex-specific risk factors linked to ethnicity, lifestyle, and endocrinologicalvariables using fluid-based biomarkers (blood and saliva), neuroimaging (magneticresonance imaging and positron emission tomography), and …

Routine Antenatal Ultrasound By Nurse-Midwives In Rural Kenya: A Pragmatic Trial Assessing Feasibility And Effects Of The Mimba Yangu (My Pregnancy) Project, Claudia Hanson, Lucy Nyaga, Nidhi Leekha, Michaela Mantel, Sarah Kedenge, Caroline Gitonga, Violet Naanyu, Jasmit Shah, Marleen Temmerman

Centre of Excellence in Women and Child Health

Introduction: Task-sharing of obstetric ultrasound between nurse-midwives and doctors has the potential to operationalize the World Health Organization’s recommendation of at least one ultrasound before 24 weeks of gestational age for every pregnant woman. Here, we report on the feasibility, acceptability, and effects of the Mimba Yangu (My Pregnancy) task-sharing approach in rural Kenya.

Methods: We conducted a pragmatic trial including 28 primary care facilities between April 2021 and March 2022, selected based on feasibility criteria. Fourteen facilities received the ultrasound intervention composed of (i) task-sharing with nurse-midwives, (ii) the use of portable ultrasound devices (Lumify™) connected to a tablet, …

Validation Of Established Thyroid Ultrasound Volume Norms In A Chernobyl Cohort, Lydia B. Zablotska, Robert J. Mcconnell, Aleksandr V. Rozhko, Patrick O'Kane, Vasilina Yauseyenka, Mark P. Little, Victor Minenko, Vladimir Drozdovitch, Tamara Moskvicheva, Maureen Hatch, Tamara Yeudachkova, Kiyohiko Mabuchi, Elizabeth K. Cahoon

Department of Radiology Faculty Papers

OBJECTIVE: To establish thyroid ultrasound volume norms appropriate for studies of diffuse goiter in a cohort of children and adolescents from an iodine-deficient population exposed to 131I by the Chernobyl fallout.

METHODS: A cohort of 11,970 Belarusians aged ≤18 years at the time of the 1986 Chernobyl accident with individual thyroid radiation dose estimates was screened 10-18 years later. From these, a low-dose subset of 2,392 with no thyroid diseases was selected to construct age- and sex-specific normative values for thyroid ultrasound volume, compared to Belarusian Ministry of Health (MOH) norms and existing WHO and European standards.

RESULTS: Cohort-specific values …

Storm-Induced Supply Challenges: A Case Of Hurricane-Driven Iv Fluid Use And Venous Air Embolism, Davin Evanson

Tower Health Research Day

No abstract provided.

Robust Automated Method Of Spatial Resolution Measurement In Radiotherapy Ct Simulation Images, Pavel Govyadinov, Rick R Layman, Tucker Netherton, Raymond Mumme, Aaron K Jones, Laurence E Court, Moiz Ahmad

Faculty, Staff and Student Publications

Background: Variation in imaging protocol, patient positioning, and the presence of artifacts can vary image quality in CT images used for radiotherapy planning. Automated methods for spatial resolution (SR) estimation exist but require further investigation and validation for wider adoption.

Purpose: To validated previously existing algorithm for SR estimation and introduce improvements that make it robust to patient positioning, CT protocol, site, and artifacts.

Method: A reference algorithm based on the previous gold standard was recreated and modified to improve robustness. The algorithms were tested on three different datasets: (1) a cylindrical ACR CT QC phantom scanned using a Siemens …

Large-Bore Mechanical Thrombectomy Versus Catheter-Directed Thrombolysis In The Management Of Intermediate-Risk Pulmonary Embolism: Primary Results Of The Peerless Randomized Controlled Trial, Wissam Jaber, Carin Gonsalves, Stefan Stortecky, Samuel Horr, Orestis Pappas, Ripal Gandhi, Keith Pereira, Jay Giri, Sameer Khandhar, Khawaja Afzal Ammar, David Lasorda, Brian Stegman, Lucas Busch, David Dexter, Ezana Azene, Nikhil Daga, Fakhir Elmasri, Chandra Kunavarapu, Mark Rea, Joseph Rossi, Joseph Campbell, Jonathan Lindquist, Adam Raskin, Jason Smith, Thomas Tamlyn, Gabriel Hernandez, Parth Rali, Torrey Schmidt, Jeffrey Bruckel, Juan Camacho, Jun Li, Samy Selim, Catalin Toma, Sukhdeep Singh Basra, Brian Bergmark, Bhavraj Khalsa, David Zlotnick, Jordan Castle, David O'Connor, C. Michael Gibson

Department of Radiology Faculty Papers

BACKGROUND: There are a lack of randomized controlled trial data comparing outcomes of different catheter-based interventions for intermediate-risk pulmonary embolism.

METHODS: PEERLESS is a prospective, multicenter, randomized controlled trial that enrolled 550 patients with intermediate-risk pulmonary embolism with right ventricular dilatation and additional clinical risk factors randomized 1:1 to treatment with large-bore mechanical thrombectomy (LBMT) or catheter-directed thrombolysis (CDT). The primary end point was a hierarchal win ratio composite of the following (assessed at the sooner of hospital discharge or 7 days after the procedure): (1) all-cause mortality, (2) intracranial hemorrhage, (3) major bleeding, (4) clinical deterioration and/or escalation to …

Early Outcomes Of Mr-Guided Sbrt For Patients With Recurrent Pancreatic Adenocarcinoma, Spencer Poiset, Sophia Shah, Louis Cappelli, Rani Anné, Karen Mooney, Maria Werner-Wasik, Talya Laufer, James Posey, Daniel Lin, Atrayee Mallick, Harish Lavu, Babar Bashir, Charles Yeo, Adam Mueller

Kimmel Cancer Center Faculty Papers

BACKGROUND: Local treatment options for locally recurrent pancreatic adenocarcinoma (LR-PAC) are limited, with median survival time (MST) of 9-13 months (mos) following recurrence. MRI-guided stereotactic body radiation therapy (MRgSBRT) provides the ability to dose escalate while sparing normal tissue. Here we report on the early outcomes of MRgSBRT for LR-PAC.

METHODS: Patients with prior resection of pancreatic adenocarcinoma with local recurrence treated with MRgSBRT at a single tertiary referral center from 5-2021 to 2-2023 were identified from our prospective database. MRgSBRT was delivered to 40-50 Gy in 4-5 fractions with target and OAR delineation per institutional standards. Endpoints included local …

Improved Pediatric Icu Mortality Prediction For Respiratory Diseases: Machine Learning And Data Subdivision Insights, Johayra Prithula, Muhammad E H Chowdhury, Muhammad Salman Khan, Khalid Al-Ansari, Susu M Zughaier, Khandaker Reajul Islam, Abdulrahman Alqahtani

Faculty, Staff and Student Publications

The growing concern of pediatric mortality demands heightened preparedness in clinical settings, especially within intensive care units (ICUs). As respiratory-related admissions account for a substantial portion of pediatric illnesses, there is a pressing need to predict ICU mortality in these cases. This study based on data from 1188 patients, addresses this imperative using machine learning techniques and investigating different class balancing methods for pediatric ICU mortality prediction. This study employs the publicly accessible "Paediatric Intensive Care database" to train, validate, and test a machine learning model for predicting pediatric patient mortality. Features were ranked using three machine learning feature selection …

Sars-Cov-2 Viral Load In The Nasopharynx At Time Of First Infection Among Unvaccinated Individuals, Leigh H Fisher, Jia Jin Kee, Albert Liu, Claudia M Espinosa, April K Randhawa, James Ludwig, Craig A Magaret, Samuel T Robinson, Peter B Gilbert, Ollivier Hyrien, James G Kublin, Nadine Rouphael, Ann R Falsey, Magdalena E Sobieszczyk, Hana M El Sahly, Beatriz Grinsztejn, Glenda E Gray, Karen L Kotloff, Cynthia L Gay, Brett Leav, Ian Hirsch, Frank Struyf, Lisa M Dunkle, Kathleen M Neuzil, Lawrence Corey, Yunda Huang, Paul A Goepfert, Stephen R Walsh, Lindsey R Baden, Holly Janes, Covid-19 Prevention Network (Covpn)

Faculty, Staff and Student Publications

Importance: SARS-CoV-2 viral load (VL) in the nasopharynx is difficult to quantify and standardize across settings, but it may inform transmission potential and disease severity.

Objective: To characterize VL at COVID-19 diagnosis among previously uninfected and unvaccinated individuals by evaluating the association of demographic and clinical characteristics, viral variant, and trial with VL, as well as the ability of VL to predict severe disease.

Design, setting, and participants: This secondary cross-protocol analysis used individual-level data from placebo recipients from 4 harmonized, phase 3 COVID-19 vaccine efficacy trials sponsored by Moderna, AstraZeneca, Janssen, and Novavax. Participants were SARS-CoV-2 negative at baseline …

Large-Scale Phenotyping Of Patients With Long Covid Post-Hospitalization Reveals Mechanistic Subtypes Of Disease, Felicity Liew, Claudia Efstathiou, Sara Fontanella, Matthew Richardson, Ruth Saunders, Dawid Swieboda, Jasmin K Sidhu, Stephanie Ascough, Shona C Moore, Noura Mohamed, Jose Nunag, Clara King, Olivia C Leavy, Omer Elneima, Hamish J C Mcauley, Aarti Shikotra, Amisha Singapuri, Marco Sereno, Victoria C Harris, Linzy Houchen-Wolloff, Neil J Greening, Nazir I Lone, Matthew Thorpe, A A Roger Thompson, Sarah L Rowland-Jones, Annemarie B Docherty, James D Chalmers, Ling-Pei Ho, Alexander Horsley, Betty Raman, Krisnah Poinasamy, Michael Marks, Onn Min Kon, Luke S Howard, Daniel G Wootton, Jennifer K Quint, Thushan I De Silva, Antonia Ho, Christopher Chiu, Ewen M Harrison, William Greenhalf, J Kenneth Baillie, Malcolm G Semple, Lance Turtle, Rachael A Evans, Louise V Wain, Christopher Brightling, Ryan S Thwaites, Peter J M Openshaw, Phosp-Covid Collaborative Group, Isaric Investigators

Faculty, Staff and Student Publications

One in ten severe acute respiratory syndrome coronavirus 2 infections result in prolonged symptoms termed long coronavirus disease (COVID), yet disease phenotypes and mechanisms are poorly understood1. Here we profiled 368 plasma proteins in 657 participants ≥3 months following hospitalization. Of these, 426 had at least one long COVID symptom and 233 had fully recovered. Elevated markers of myeloid inflammation and complement activation were associated with long COVID. IL-1R2, MATN2 and COLEC12 were associated with cardiorespiratory symptoms, fatigue and anxiety/depression; MATN2, CSF3 and C1QA were elevated in gastrointestinal symptoms and C1QA was elevated in cognitive impairment. Additional markers …

Zika Virus Prevention Behaviors And Knowledge Among Male Partners Of Pregnant People And Lack Of Condom Use As A Prevention Behavior From The Zika En Embarazadas Y Niños (Zen) Prospective Cohort Study, Colombia, Christina L Sancken, Ayzsa Tannis, Sandra A Amouzou, Veronica Burkel, Jeffrey M Carlson, Suzanne Newton, Suzanne M Gilboa, Maritza Gonzalez, Diana Valencia, Van T Tong, Martha Ospina

Faculty, Staff and Student Publications

Objective: Zika virus (ZIKV) infection in pregnancy can cause brain and eye abnormalities and neurodevelopmental sequelae. In the absence of medical countermeasures, behavioral interventions were recommended to prevent mosquito bites and sexual transmission of ZIKV. This report uses data from the Zika en Embarazadas y Niños (ZEN) prospective cohort study in Colombia to describe the knowledge, attitudes, and behaviors (KAB) related to ZIKV prevention in male partners compared to those of their pregnant partners at study enrollment during February 2017-2018.

Results: Most male partners reported wearing protective clothing such as long pants (97.6%) and long sleeves (72.8%), as well as …

Diagnostic Utility Of Chest Radiographs In Children With Clinically Diagnosed Pneumonia As Per The Kenya Basic Paediatric Protocol, Ivy Waruguru Wakahora

Master of Medicine in Imaging and Diagnostic Radiology

Introduction; Pneumonia causes significant morbidity and mortality in children globally, emphasizing the need for accurate diagnosis. While chest radiographs have traditionally been the gold standard for diagnosis, recent international guidelines discourage their routine use in paediatric community acquired pneumonia (pCAP). Despite this, chest radiographs are still regularly acquired for pneumonia diagnosis, resulting in practice variations and imaging overutilization. This study aims to evaluate the diagnostic utility of chest radiographs in children with clinically diagnosed pneumonia as per the Kenya Basic Paediatric Protocol (KBPP).

Materials and methods: Data was retrospectively reviewed of 159 paediatric patients at Aga Khan University Hospital, Nairobi …

Breast Multiparametric Mri For Prediction Of Neoadjuvant Chemotherapy Response In Breast Cancer: The Bmmr2 Challenge, Wen Li, Savannah C Partridge, David C Newitt, Jon Steingrimsson, Helga S Marques, Patrick J Bolan, Michael Hirano, Benjamin Aaron Bearce, Jayashree Kalpathy-Cramer, Michael A Boss, Xinzhi Teng, Jiang Zhang, Jing Cai, Despina Kontos, Eric A Cohen, Walter C Mankowski, Michael Liu, Richard Ha, Oscar J Pellicer-Valero, Klaus Maier-Hein, Simona Rabinovici-Cohen, Tal Tlusty, Michal Ozery-Flato, Vishwa S Parekh, Michael A Jacobs, Ran Yan, Kyunghyun Sung, Anum S Kazerouni, Julie C Dicarlo, Thomas E Yankeelov, Thomas L Chenevert, Nola M Hylton

Faculty, Staff and Student Publications

Purpose To describe the design, conduct, and results of the Breast Multiparametric MRI for prediction of neoadjuvant chemotherapy Response (BMMR2) challenge. Materials and Methods The BMMR2 computational challenge opened on May 28, 2021, and closed on December 21, 2021. The goal of the challenge was to identify image-based markers derived from multiparametric breast MRI, including diffusion-weighted imaging (DWI) and dynamic contrast-enhanced (DCE) MRI, along with clinical data for predicting pathologic complete response (pCR) following neoadjuvant treatment. Data included 573 breast MRI studies from 191 women (mean age [±SD], 48.9 years ± 10.56) in the I-SPY 2/American College of Radiology Imaging …

Subnanometer-Resolution Structures Of The Grass Carp Reovirus Core And Virion, Melissa S Oh, Nikhil T Vettikattu, Harry Michael Baddour, Jennifer H Gross, Brian J Boyce, Mihir R Patel, Nicole C Schmitt, Clementino Arturo Solares, Jackson R Vuncannon, Azeem S Kaka

Faculty, Staff and Student Publications

OBJECTIVE: To describe our modifications to the submental island flap (SMIF) in a case series that demonstrates improved reproducibility, shortened length of stay (LOS), and reduced utilization of hospital resources.

STUDY DESIGN: This retrospective case series with chart review included adult patients who underwent resection of malignant or benign tumors resulting in lateral facial, parotid, or temporal bone defects, which were reconstructed with SMIF.

SETTING: A tertiary-care academic referral center.

METHODS: Retrospective case series included all adult patients who underwent SMIF reconstruction between March 2020 and August 2021. Patient demographic and clinical data were collected. Primary outcomes were measures of …

Impact Of The Covid-19 Pandemic And Vaccine Availability On Utilization Of Breast Imaging In A Multistate Radiology Practice, Andrew K Hillman, Phil Ramis, Patrick Nielsen, Eric M Rohren

Faculty, Staff and Students Publications

METHOD: Data were obtained from medical health records across 77 Radiology Partners practices in the US. The data provided us with the total monthly mammography, breast ultrasound, and breast MRI procedures from January 2019 to September 2022. An interrupted time-series (ITS) analysis was conducted to evaluate the effect of the COVID-19 pandemic and the COVID-19 vaccination. We chose March 2020 and December 2020 as critical time points in the pandemic and analyzed trends before and after these dates.

RESULTS: The starting level (at baseline in January 2019) of the total breast imaging procedure volume was estimated at 114,901.5, and this …

Para-Infectious Brain Injury In Covid-19 Persists At Follow-Up Despite Attenuated Cytokine And Autoantibody Responses, Benedict D Michael, Cordelia Dunai, Edward J Needham, Kukatharmini Tharmaratnam, Robyn Williams, Yun Huang, Sarah A Boardman, Jordan J Clark, Parul Sharma, Krishanthi Subramaniam, Greta K Wood, Ceryce Collie, Richard Digby, Alexander Ren, Emma Norton, Maya Leibowitz, Soraya Ebrahimi, Andrew Fower, Hannah Fox, Esteban Tato, Mark A Ellul, Geraint Sunderland, Marie Held, Claire Hetherington, Franklyn N Egbe, Alish Palmos, Kathy Stirrups, Alexander Grundmann, Anne-Cecile Chiollaz, Jean-Charles Sanchez, James P Stewart, Michael Griffiths, Tom Solomon, Gerome Breen, Alasdair J Coles, Nathalie Kingston, John R Bradley, Patrick F Chinnery, Jonathan Cavanagh, Sarosh R Irani, Angela Vincent, J Kenneth Baillie, Peter J Openshaw, Malcolm G Semple, Covid-Cns Consortium, Isaric4c Investigators, Leonie S Taams, David K Menon

Faculty, Staff and Student Publications

To understand neurological complications of COVID-19 better both acutely and for recovery, we measured markers of brain injury, inflammatory mediators, and autoantibodies in 203 hospitalised participants; 111 with acute sera (1-11 days post-admission) and 92 convalescent sera (56 with COVID-19-associated neurological diagnoses). Here we show that compared to 60 uninfected controls, tTau, GFAP, NfL, and UCH-L1 are increased with COVID-19 infection at acute timepoints and NfL and GFAP are significantly higher in participants with neurological complications. Inflammatory mediators (IL-6, IL-12p40, HGF, M-CSF, CCL2, and IL-1RA) are associated with both altered consciousness and markers of brain injury. Autoantibodies are more common …

Feasibility, Enablers And Challenges Of Using Timeliness Metrics For Household Contact Tracing And Tb Preventive Therapy In Pakistan, Bushra Jamil, Divya Nair, Pruthu Thekkur, Neelofar Laeeq, Anum Adil, Mohammed Khogali, Rony Zachariah, Selma Dar Berger, Srinath Satyanarayana, Ajay M V Kumar

Department of Medicine

Introduction: Screening household contacts of TB patients and providing TB preventive therapy (TPT) is a key intervention to end the TB epidemic. Global and timely implementation of TPT in household contacts, however, is dismal. We adapted the 7-1-7 timeliness metric designed to evaluate and respond to infectious disease outbreaks or pandemics, and assessed the feasibility, enablers and challenges of implementing this metric for screening and management of household contacts of index patients with bacteriologically-confirmed pulmonary TB in Karachi city, Pakistan.
Methods: We conducted an explanatory mixed methods study with a quantitative component (cohort design) followed by a qualitative component (descriptive …

Morphological And Metabolic Criteria Of Covid-19 Vaccine Associated Axillary Nodes On 18-Fluorodeouxyglucose Pet/Ct Imaging In Breast Cancer Patients, Nosheen Fatima, Unaiza Zaman, Areeba Zaman, Sidra Zaman, Rabia Tehseen, Maseeh Uz Zaman

Department of Radiology

Background: In the current era vaccine-associated lymphadenopathy (VAL) is not an uncommon presentation on 18F-FDG PET/CT examinations in patients inoculated with Coronavirus disease 2019 (COVID-19) vaccination. In this study, we are presenting data of VAL on 18F-FDG PET/CT regarding its prevalence, temporal response to vaccination and imaging characteristics of VAL.
Methods: Seventy-eight (78) consecutive vaccinated breast cancer (BC) patients who had 18FDG PET/CT were retrospectively analyzed. All patients had COVID-19 vaccine shots in contralateral arms and none in breast cancer site axilla (BSA). In 35 patients 18FDG avid nodes were found in vaccine site axilla (VSA). In 25 patients 18FDG …

Identifying The Optimal Deep Learning Architecture And Parameters For Automatic Beam Aperture Definition In 3d Radiotherapy, Skylar S Gay, Kelly D Kisling, Brian M Anderson, Lifei Zhang, Dong Joo Rhee, Callistus Nguyen, Tucker Netherton, Jinzhong Yang, Kristy Brock, Anuja Jhingran, Hannah Simonds, Ann Klopp, Beth M Beadle, Laurence E Court, Carlos E Cardenas

Faculty, Staff and Student Publications

PURPOSE: Two-dimensional radiotherapy is often used to treat cervical cancer in low- and middle-income countries, but treatment planning can be challenging and time-consuming. Neural networks offer the potential to greatly decrease planning time through automation, but the impact of the wide range of hyperparameters to be set during training on model accuracy has not been exhaustively investigated. In the current study, we evaluated the effect of several convolutional neural network architectures and hyperparameters on 2D radiotherapy treatment field delineation.

METHODS: Six commonly used deep learning architectures were trained to delineate four-field box apertures on digitally reconstructed radiographs for cervical cancer …

Surface Charge Effects For The Hydrogen Evolution Reaction On Pt(111) Using A Modified Grand-Canonical Potential Kinetics Method, Mihir Patel, Matthias Franzen, Camille D Hawkins, Matthew Brown, Samir Patel

Faculty, Staff and Student Publications

Supraventricular tachycardia (SVT) is the most common tachyarrhythmia of pregnancy. Catecholamine surges, the use of vasoactive agents during delivery, and increased cardiac output during pregnancy are the most common contributing factors to developing SVT. SVT is usually benign in presentation but can lead to more serious arrhythmias in patients with a history of mitral stenosis secondary to rheumatic heart disease. When an SVT is detected, organic heart causes should be ruled out first. Symptoms of SVT include shortness of breath, palpitations, syncope, sweating, chest pain, and dizziness. In patients who are refractory to pharmacologic management and hemodynamically unstable, electrical cardioversion …

Comprehensive Evaluation And New Recommendations In The Use Of Gafchromic Ebt3 Film, Kevin Liu, Patrik Gonçalves Jorge, Ramesh Tailor, Raphaël Moeckli, Emil Schüler

Faculty, Staff and Student Publications

BACKGROUND: Gafchromic film's unique properties of tissue-equivalence, dose-rate independence, and high spatial resolution make it an attractive choice for many dosimetric applications. However, complicated calibration processes and film handling limits its routine use.

PURPOSE: We evaluated the performance of Gafchromic EBT3 film after irradiation under a variety of measurement conditions to identify aspects of film handling and analysis for simplified but robust film dosimetry.

METHODS: The short- (from 5 min to 100 h) and long-term (months) film response was evaluated for clinically relevant doses of up to 50 Gy for accuracy in dose determination and relative dose distributions. The dependence …

Medical Imaging Applications Of Federated Learning, Sukhveer Singh Sandhu, Hamed Taheri Gorji, Pantea Tavakolian, Kouhyar Tavakolian, Alireza Akhbardeh

Faculty, Staff and Student Publications

Since its introduction in 2016, researchers have applied the idea of Federated Learning (FL) to several domains ranging from edge computing to banking. The technique's inherent security benefits, privacy-preserving capabilities, ease of scalability, and ability to transcend data biases have motivated researchers to use this tool on healthcare datasets. While several reviews exist detailing FL and its applications, this review focuses solely on the different applications of FL to medical imaging datasets, grouping applications by diseases, modality, and/or part of the body. This Systematic Literature review was conducted by querying and consolidating results from ArXiv, IEEE Xplorer, and PubMed. Furthermore, …

A Review Of Magnetic Resonance (Mr) Safety: The Essentials To Patient Safety, Aren Shah, Shima Aran

Faculty, Staff and Student Publications

Nearly 40 million magnetic resonance imaging (MRI) scans are performed each year in the United States. MRI has become a relatively safe non-invasive diagnostic tool. To maintain a safe magnetic resonance (MR) environment, specific policies and safety procedures are required. The four zones of an MR site allow MR personnel to closely monitor and restrict the area. Screening patients with a questionnaire asking about implants, allergies to contrast agents, and other relevant medical information is important to safely perform an MRI scan. Providers may need to consider anesthesia for patients with claustrophobia who are unable to remain motionless. Radiologists and …

Automated Lung Ultrasound Pulmonary Disease Quantification Using An Unsupervised Machine Learning Technique For Covid-19, Hersh Sagreiya, Michael A Jacobs, Alireza Akhbardeh

Faculty, Staff and Student Publications

COVID-19 is an ongoing global health pandemic. Although COVID-19 can be diagnosed with various tests such as PCR, these tests do not establish pulmonary disease burden. Whereas point-of-care lung ultrasound (POCUS) can directly assess the severity of characteristic pulmonary findings of COVID-19, the advantage of using US is that it is inexpensive, portable, and widely available for use in many clinical settings. For automated assessment of pulmonary findings, we have developed an unsupervised learning technique termed the calculated lung ultrasound (CLU) index. The CLU can quantify various types of lung findings, such as A or B lines, consolidations, and pleural …

Multi-Parametric Mri For Radiotherapy Simulation, Tian Li, Jihong Wang, Yingli Yang, Carri K Glide-Hurst, Ning Wen, Jing Cai

Faculty, Staff and Student Publications

Magnetic resonance imaging (MRI) has become an important imaging modality in the field of radiotherapy (RT) in the past decade, especially with the development of various novel MRI and image-guidance techniques. In this review article, we will describe recent developments and discuss the applications of multi-parametric MRI (mpMRI) in RT simulation. In this review, mpMRI refers to a general and loose definition which includes various multi-contrast MRI techniques. Specifically, we will focus on the implementation, challenges, and future directions of mpMRI techniques for RT simulation.

Analysis Of Performance And Failure Modes Of The Iroc Proton Liver Phantom, Hunter Mehrens, Paige Taylor, Paola Alvarez, Stephen Kry

Faculty, Staff and Student Publications

Purpose: To analyze trends in institutional performance and failure modes for the Imaging and Radiation Oncology Core’s (IROC’s) proton liver phantom.

Materials and Methods: Results of 66 phantom irradiations from 28 institutions between 2015 and 2020 were retrospectively analyzed. Univariate analysis and random forest models were used to associate irradiation conditions with phantom results. Phantom results included pass/fail classification, average thermoluminescent dosimeter (TLD) ratio of both targets, and percentage of pixels passing gamma of both targets. The following categories were evaluated in terms of how they predicted these outcomes: irradiation year, treatment planning system (TPS), TPS algorithm, treatment machine, number …

Radiologic-Pathologic Correlation Of Covid-19-Associated Acute Disseminated Encephalomyelitis, Amy Bezold, Huda Hussain, Julum Nwanze, James T Roberts, Kuang-Chun J Hsieh

Faculty, Staff and Students Publications

A 42-year-old woman presented with drooling, slurred speech, inability to walk and talk, and a recent positive COVID-19 test. She had two prior hospital admissions within the past week for similar symptoms with inconclusive evaluation. MRI of the brain demonstrated multifocal white matter hyperintense lesions on fluid-attenuated inversion recovery (FLAIR)/diffusion with variable enhancement. These imaging findings have been described in recent literature and are associated with inflammatory demyelinating disease, such as acute disseminated encephalomyelitis. The patient subsequently underwent a brain biopsy with a final diagnosis of inflammatory demyelinating lesion. To our knowledge, this is the first radiologic-pathologic correlation of COVID-19-associated …