Radiology Commons^™

Acute Brachial Artery Occlusion Following Cisplatin-Based Chemotherapy: Case Report, Abenezer Melaku Tafese, Amanuel Yegnanew Adela, Assefa Getachew Kebede, Aklilu Sinte Tegegn, Elsabeth Tizazu Asare, Munir Awol

Student Papers, Posters & Projects

Thromboembolism is a significant cause of mortality and morbidity in cancer patients. While the link between cancer and venous thrombosis is well known, the recognition of arterial thrombosis as a serious complication of cancer and chemotherapeutic agents is a recent development. One of the chemotherapy agents frequently linked to acute vascular events is cisplatin. We discuss a rare case of cisplatin-related brachial arterial thrombosis in a 50-year-old man who was treated for cholangiocarcinoma with cisplatin and gemcitabine. Although rare, cisplatin-related arterial thrombosis demands careful monitoring, a high index of suspicion, and prompt management to prevent serious complications and mortality.

Comprehensive Analysis Of Craniopharyngioma: Epidemiology, Clinical Characteristics, Management Strategies, And Role Of Radiotherapy, Amir Mushtaq, Mohsin Fayaz, Abdul Rashid Bhat, Abbas F Abdul Hussein, Gianluca Ferini, Giuseppe Emmanuele Umana, Gianluca Scalia, Feroze Ahmad Mir, Aizul Khursheed, Bipin Chaurasia

Faculty, Staff and Student Publications

BACKGROUND/AIM: Craniopharyngiomas pose challenges in diagnosis and management due to their rare occurrence and diverse clinical manifestations. This study aimed to provide a comprehensive analysis of cranio-pharyngioma, including its epidemiological trends, clinical presentations, radiological characteristics, surgical interventions, and the role of radiotherapy.

PATIENTS AND METHODS: A retrospective observational study was conducted on 23 patients diagnosed with craniopharyngioma at our hospital from August 2017 to July 2019. Data regarding demographics, clinical presentation, radiological findings, surgical interventions, and adjuvant therapies were collected and analyzed.

RESULTS: Craniopharyngiomas exhibited a bimodal age distribution, with peaks in childhood and late adulthood. Clinical presentations varied between …

A Look-Up-Table Development To Facilitate Ct Simulation Of Mr-Linac Treatment, Neil Hughes, Travis C Salzillo, Sastry Vedam, Tze Yee Lim, Xin Wang, He Wang, Mustefa Mohammedsaid, Clifton D Fuller, Jihong Wang, Jinzhong Yang

Faculty, Staff and Student Publications

While current MR-Linac (MRL) treatment workflows utilize a large table overlay during CT simulation to convert indexing between the two machines, we developed a look-up-table (LUT) as an alternative approach. After populating the LUT, index conversion factors were verified at three separate table locations. The resultant root-mean-square isocenter shifts on the MRL were 0.04/0.08 cm, 0.08/0.07 cm, and 0.09/0.08 cm with/without using the table overlay during simulation in the lateral, longitudinal, and vertical directions, respectively, which is within registration tolerance. Clinical implementation of the LUT has resulted in a more efficient MRL treatment workflow while maintaining accurate patient setup.

Reporting Quality Of Endoscopic Colorectal Cancer Screening Randomized Controlled Trials: Adherence To Recommendations And Interventions, Fouad Jaber, Khalid Ahmed, Osama Hamid, Willie Mohammed Johnson, Saqr Alsakarneh, Abubaker O Abdalla, Yazan Abboud, Mouhand Mohamed, Dushyant Singh Dahiya, Shifa Umar, Mohamed Abdallah, Mohammad Bilal, Aasma Shaukat

Faculty, Staff and Student Publications

BACKGROUND AND AIMS: In 2013, the Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) steering group published recommendations to standardize reporting quality in randomized controlled trials (RCTs). We aim to assess adherence to SPIRIT reporting guidelines in RCTs on endoscopic colorectal cancer (CRC) screening and participants' adherence to trial protocols.

METHODS: We searched databases for RCTs evaluating flexible sigmoidoscopy or colonoscopy for CRC screening published in English language through September 2023. Each eligible study was evaluated using the 8 core SPIRIT statement areas, totaling 51 points. Each item received 1 point if it met the criteria and 0 points if …

Clinical Acceptability Of Automatically Generated Lymph Node Levels And Structures Of Deglutition And Mastication For Head And Neck Radiation Therapy, Sean Maroongroge, Abdallah Sr Mohamed, Callistus Nguyen, Jean Guma De La Vega, Steven J Frank, Adam S Garden, Brandon G Gunn, Anna Lee, Lauren Mayo, Amy Moreno, William H Morrison, Jack Phan, Michael T Spiotto, Laurence E Court, Clifton D Fuller, David I Rosenthal, Tucker J Netherton

Faculty, Staff and Student Publications

BACKGROUND AND PURPOSE: Auto-contouring of complex anatomy in computed tomography (CT) scans is a highly anticipated solution to many problems in radiotherapy. In this study, artificial intelligence (AI)-based auto-contouring models were clinically validated for lymph node levels and structures of swallowing and chewing in the head and neck.

MATERIALS AND METHODS: CT scans of 145 head and neck radiotherapy patients were retrospectively curated. One cohort (n = 47) was used to analyze seven lymph node levels and the other (n = 98) used to analyze 17 swallowing and chewing structures. Separate nnUnet models were trained and validated using the separate …

Radiation Induced Skin Fibrosis (Risf): Opportunity For Angiotensin Ii-Dependent Intervention, Patricia F. Boothe, Vidya P. Kumar, Yali Kong, Kan Wang, Howard Levinson, David Mu, Milton L. Brown

Department of Biomedical and Translational Sciences Faculty Publications

Medical procedures, such as radiation therapy, are a vital element in treating many cancers, significantly contributing to improved survival rates. However, a common long-term complication of such exposure is radiation-induced skin fibrosis (RISF), a complex condition that poses substantial physical and psychological challenges. Notably, about 50% of patients undergoing radiation therapy may achieve long-term remission, resulting in a significant number of survivors managing the aftereffects of their treatment. This article delves into the intricate relationship between RISF, reactive oxygen species (ROS), and angiotensin II (Ang II) signaling. It proposes the underlying mechanisms and examines potential treatments for mitigating skin fibrosis. …

Harnessing Uncertainty In Radiotherapy Auto-Segmentation Quality Assurance, Kareem A Wahid, Jaakko Sahlsten, Joel Jaskari, Michael J Dohopolski, Kimmo Kaski, Renjie He, Enrico Glerean, Benjamin H Kann, Antti Mäkitie, Clifton D Fuller, Mohamed A Naser, David Fuentes

Faculty, Staff and Student Publications

One of the key contributions of this study is the reappropriation of standard DL outputs as a quality indicator to identify cases that clinicians should review further. The authors achieve this by applying an empirically derived threshold to the softmax output of their DL network, computing the mean of the thresholded score map (termed the HiS metric), and correlating it with standard geometric quality indices. When juxtaposed with a mean entropy — a commonly used measure of model output uncertainty — HiS consistently demonstrated a stronger correlation with the geometric indices, suggesting its superior ability to stratify cases needing additional …

Expert-Centered Evaluation Of Deep Learning Algorithms For Brain Tumor Segmentation, Katharina V Hoebel, Christopher P Bridge, Sara Ahmed, Oluwatosin Akintola, Caroline Chung, Raymond Y Huang, Jason M Johnson, Albert Kim, K Ina Ly, Ken Chang, Jay Patel, Marco Pinho, Tracy T Batchelor, Bruce R Rosen, Elizabeth R Gerstner, Jayashree Kalpathy-Cramer

Faculty, Staff and Student Publications

Purpose To present results from a literature survey on practices in deep learning segmentation algorithm evaluation and perform a study on expert quality perception of brain tumor segmentation. Materials and Methods A total of 180 articles reporting on brain tumor segmentation algorithms were surveyed for the reported quality evaluation. Additionally, ratings of segmentation quality on a four-point scale were collected from medical professionals for 60 brain tumor segmentation cases. Results Of the surveyed articles, Dice score, sensitivity, and Hausdorff distance were the most popular metrics to report segmentation performance. Notably, only 2.8% of the articles included clinical experts' evaluation of …

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 …

Image-Guided Deployment And Monitoring Of A Novel Tungsten Nanoparticle-Infused Radiopaque Absorbable Inferior Vena Cava Filter In A Swine Model, Erin Marie San Valentin, Jossana A Damasco, Marvin Bernardino, Karem A Court, Biana Godin, Gino Martin Canlas, Adam Melancon, Gouthami Chintalapani, Megan C Jacobsen, William Norton, Rick R Layman, Natalie Fowlkes, Stephen R Chen, Steven Y Huang, Marites P Melancon

Faculty, Staff and Student Publications

PURPOSE: To improve radiopacity of radiolucent absorbable poly-p-dioxanone (PPDO) inferior vena cava filters (IVCFs) and demostrate their effectiveness in clot-trapping ability.

MATERIALS AND METHODS: Tungsten nanoparticles (WNPs) were incorporated along with polyhydroxybutyrate (PHB), polycaprolactone (PCL), and polyvinylpyrrolidone (PVP) polymers to increase the surface adsorption of WNPs. The physicochemical and in vitro and in vivo imaging properties of PPDO IVCFs with WNPs with single-polymer PHB (W-P) were compared with those of WNPs with polymer blends consisting of PHB, PCL, and PVP (W-PB).

RESULTS: In vitro analyses using PPDO sutures showed enhanced radiopacity with either W-P or W-PB coating, without compromising the …

Myasthenia Gravis And Numb Chin Syndrome With Lung Carcinoma, Rajesh Kumar Gupta, Ashutosh Gupta, Daniel S Um, Zarrin Khameh Neda

Faculty, Staff and Students Publications

No abstract provided.

Deployment And Assessment Of A Deep Learning Model For Real-Time Detection Of Anal Precancer With High Frame Rate High-Resolution Microendoscopy, David Brenes, Alex Kortum, Jackson Coole, Jennifer Carns, Richard Schwarz, Imran Vohra, Rebecca Richards-Kortum, Yuxin Liu, Zhenjian Cai, Keith Sigel, Sharmila Anandasabapathy, Michael Gaisa, Elizabeth Chiao

Faculty, Staff and Students Publications

Anal cancer incidence is significantly higher in people living with HIV as HIV increases the oncogenic potential of human papillomavirus. The incidence of anal cancer in the United States has recently increased, with diagnosis and treatment hampered by high loss-to-follow-up rates. Novel methods for the automated, real-time diagnosis of AIN 2+ could enable "see and treat" strategies, reducing loss-to-follow-up rates. A previous retrospective study demonstrated that the accuracy of a high-resolution microendoscope (HRME) coupled with a deep learning model was comparable to expert clinical impression for diagnosis of AIN 2+ (sensitivity 0.92 [P = 0.68] and specificity 0.60 [P = …

Exosome Shedding Is Concordant With Objective Treatment Response Rate And Stratifies Time To Progression In Treatment Naïve, Non-Resectable Hepatocellular Carcinoma, Kelley G. Núñez, Dorota Wyczechowska, Mina Hibino, Tyler Sandow, Juan Gimenez, Ali R. Koksal, Yucel Aydin, Srikanta Dash, Ari J. Cohen, Paul T. Thevenot

School of Medicine Faculty Publications

Translational strategies to characterize and monitor extracellular vesicles such as exosome (EX) shedding and the clinical impact of this data within hepatocellular carcinoma (HCC) remains unclear. In this study, EX shedding was assessed in early-stage HCC and evaluated as a stratification factor for time to progression (TTP) following first-cycle liver-directed therapy (LDT). Plasma EXs were isolated from HCC patients undergoing LDT using ultracentrifugation. Purified EXs were stained using markers CD9 and CD63 and quantified using an ImageStreamX flow cytometer. Circulating EXs expressing CD9 were isolated at 10-fold higher levels compared to CD63. The intensity of CD9+ EX shedding following LDT …

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 …

Improving Radiotherapy In Immunosuppressive Microenvironments By Targeting Complement Receptor C5ar1, Callum Beach, David Maclean, Dominika Majorova, Stavros Melemenidis, Dhanya K Nambiar, Ryan K Kim, Gabriel N Valbuena, Silvia Guglietta, Carsten Krieg, Mahnaz Darvish-Damavandi, Tatsuya Suwa, Alistair Easton, Lily Vs Hillson, Ashley K Mcculloch, Ross K Mcmahon, Kathryn Pennel, Joanne Edwards, Sean M O'Cathail, Campbell S Roxburgh, Enric Domingo, Eui Jung Moon, Dadi Jiang, Yanyan Jiang, Qingyang Zhang, Albert C Koong, Trent M Woodruff, Edward E Graves, Tim Maughan, Simon Ja Buczacki, Manuel Stucki, Quynh-Thu Le, Simon J Leedham, Amato J Giaccia, Monica M Olcina

Faculty, Staff and Student Publications

An immunosuppressive microenvironment causes poor tumor T cell infiltration and is associated with reduced patient overall survival in colorectal cancer. How to improve treatment responses in these tumors is still a challenge. Using an integrated screening approach to identify cancer-specific vulnerabilities, we identified complement receptor C5aR1 as a druggable target, which when inhibited improved radiotherapy, even in tumors displaying immunosuppressive features and poor CD8+ T cell infiltration. While C5aR1 is well-known for its role in the immune compartment, we found that C5aR1 is also robustly expressed on malignant epithelial cells, highlighting potential tumor cell-specific functions. C5aR1 targeting resulted in increased …

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 …

Prostate Safety Events During Testosterone Replacement Therapy In Men With Hypogonadism: A Randomized Clinical Trial, Shalender Bhasin, Thomas G Travison, Karol M Pencina, Michael O'Leary, Glenn R Cunningham, A Michael Lincoff, Steven E Nissen, M Scott Lucia, Mark A Preston, Mohit Khera, Nader Khan, Michael C Snabes, Xue Li, Catherine M Tangen, Kevin A Buhr, Ian M Thompson

Faculty, Staff and Students Publications

IMPORTANCE: The effect of testosterone replacement therapy (TRT) on the risk of prostate cancer and other adverse prostate events is unknown.

OBJECTIVE: To compare the effect of TRT vs placebo on the incidences of high-grade prostate cancers (Gleason score ≥4 + 3), any prostate cancer, acute urinary retention, invasive prostate procedures, and pharmacologic treatment for lower urinary tract symptoms in men with hypogonadism.

DESIGN, SETTING, AND PARTICIPANTS: This placebo-controlled, double-blind randomized clinical trial enrolled 5246 men (aged 45-80 years) from 316 US trial sites who had 2 testosterone concentrations less than 300 ng/dL, hypogonadal symptoms, and cardiovascular disease (CVD) or …

Operational Ontology For Oncology (O3): A Professional Society-Based, Multistakeholder, Consensus-Driven Informatics Standard Supporting Clinical And Research Use Of Real-World Data From Patients Treated For Cancer, Charles S Mayo, Mary U Feng, Kristy K Brock, Randi Kudner, Peter Balter, Jeffrey C Buchsbaum, Amanda Caissie, Elizabeth Covington, Emily C Daugherty, Andre L Dekker, Clifton D Fuller, Anneka L Hallstrom, David S Hong, Julian C Hong, Sophia C Kamran, Eva Katsoulakis, John Kildea, Andra V Krauze, Jon J Kruse, Tod Mcnutt, Michelle Mierzwa, Amy Moreno, Jatinder R Palta, Richard Popple, Thomas G Purdie, Susan Richardson, Gregory C Sharp, Shiraishi Satomi, Lawrence R Tarbox, Aradhana M Venkatesan, Alon Witztum, Kelly E Woods, Yuan Yao, Keyvan Farahani, Sanjay Aneja, Peter E Gabriel, Lubomire Hadjiiski, Dan Ruan, Jeffrey H Siewerdsen, Steven Bratt, Michelle Casagni, Su Chen, John C Christodouleas, Anthony Didonato, James Hayman, Rishhab Kapoor, Saul Kravitz, Sharon Sebastian, Martin Von Siebenthal, Walter Bosch, Coen Hurkmans, Sue S Yom, Ying Xiao

Faculty, Staff and Student Publications

PURPOSE: The ongoing lack of data standardization severely undermines the potential for automated learning from the vast amount of information routinely archived in electronic health records (EHRs), radiation oncology information systems, treatment planning systems, and other cancer care and outcomes databases. We sought to create a standardized ontology for clinical data, social determinants of health, and other radiation oncology concepts and interrelationships.

METHODS AND MATERIALS: The American Association of Physicists in Medicine's Big Data Science Committee was initiated in July 2019 to explore common ground from the stakeholders' collective experience of issues that typically compromise the formation of large inter- …

Systematic Review Of Genetic Polymorphisms Associated With Acute Pain Induced By Radiotherapy For Head And Neck Cancers, Vivian Salama, Yimin Geng, Jillian Rigert, Clifton D Fuller, Sanjay Shete, Amy C Moreno

Faculty, Staff and Student Publications

BACKGROUND/OBJECTIVE: Pain is the most common acute symptom following radiation therapy (RT) for head and neck cancer (HNC). The multifactorial origin of RT-induced pain makes it highly challenging to manage. Multiple studies were conducted to identify genetic variants associated with cancer pain, however few of them focused on RT-induced acute pain. In this review, we summarize the potential mechanisms of acute pain after RT in HNC and identify genetic variants associated with RT-induced acute pain and relevant acute toxicities.

METHODS: A comprehensive search of Ovid Medline, EMBASE and Web of Science databases using terms including "Variants", "Polymorphisms", "Radiotherapy", "Acute pain", …

Primary Tumor Site For Localized Merkel Cell Carcinoma Drives Different Management Strategies Without Impacting Oncologic Outcomes, Samuel Cass, Brandon Cope, Andrew J Bishop, Yi-Ju Chiang, B Ashleigh Guadagnolo, Ahsan Farooqi, William Morrison, Russell G Witt, Riyad N H Seervai, Adam S Garden, Clifton D Fuller, Ryan P Goepfert, Merrick Ross, Jeffrey E Gershenwald, Michael Wong, Phyu P Aung, Emily Z Keung, Devarati Mitra

Faculty, Staff and Student Publications

BACKGROUND AND PURPOSE: Clinically localized Merkel cell carcinoma (MCC) has been associated with high rates of disease relapse. This study examines how primary tumor anatomic site drives patterns of care and outcomes in a large cohort treated in the contemporary era.

MATERIALS AND METHODS: Patterns of care and associated outcomes were evaluated for clinically Stage I-II MCC patients treated at our institution with adjuvant radiation therapy (RT) to the primary site and/or regional nodal basin as a component of their curative intent therapy between 2014-2021.

RESULTS: Of 80 patients who met inclusion criteria, the primary tumor anatomic site was head …

Radio-Pathomic Approaches In Pediatric Neurooncology: Opportunities And Challenges, Ariana M. Familiar, Aria Mahtabfar, Anahita Fathi Kazerooni, Mahsa Kiani, Arastoo Vossough, Angela Viaene, Philip B. Storm, Adam C. Resnick, Ali Nabavizadeh

Department of Neurosurgery Faculty Papers

With medical software platforms moving to cloud environments with scalable storage and computing, the translation of predictive artificial intelligence (AI) models to aid in clinical decision-making and facilitate personalized medicine for cancer patients is becoming a reality. Medical imaging, namely radiologic and histologic images, has immense analytical potential in neuro-oncology, and models utilizing integrated radiomic and pathomic data may yield a synergistic effect and provide a new modality for precision medicine. At the same time, the ability to harness multi-modal data is met with challenges in aggregating data across medical departments and institutions, as well as significant complexity in modeling …

Quantitative Longitudinal Mapping Of Radiation-Treated Prostate Cancer Using Mr Fingerprinting With Radial Acquisition And Subspace Reconstruction, Victoria Y Yu, Ricardo Otazo, Can Wu, Ergys Subashi, Manuel Baumann, Peter Koken, Mariya Doneva, Peter Mazurkewitz, Daniel Shasha, Michael Zelefsky, Laura Cervino, Ouri Cohen

Faculty, Staff and Student Publications

MR fingerprinting (MRF) enables fast multiparametric quantitative imaging with a single acquisition and has been shown to improve diagnosis of prostate cancer. However, most prostate MRF studies were performed with spiral acquisitions that are sensitive to B0 inhomogeneities and consequent blurring. In this work, a radial MRF acquisition with a novel subspace reconstruction technique was developed to enable fast T1/T2 mapping in the prostate in under 4 min. The subspace reconstruction exploits the extensive temporal correlations in the MRF dictionary to pre-compute a low dimensional space for the solution and thus reduce the number of radial spokes to accelerate the …

Immunotherapy Targeting Different Immune Compartments In Combination With Radiation Therapy Induces Regression Of Resistant Tumors, Nils-Petter Rudqvist, Maud Charpentier, Claire Lhuillier, Erik Wennerberg, Sheila Spada, Caroline Sheridan, Xi Kathy Zhou, Tuo Zhang, Silvia C Formenti, Jennifer S Sims, Alicia Alonso, Sandra Demaria

Faculty, Staff and Student Publications

Radiation therapy (RT) increases tumor response to CTLA-4 inhibition (CTLA4i) in mice and in some patients, yet deep responses are rare. To identify rational combinations of immunotherapy to improve responses we use models of triple negative breast cancer highly resistant to immunotherapy in female mice. We find that CTLA4i promotes the expansion of CD4+ T helper cells, whereas RT enhances T cell clonality and enriches for CD8+ T cells with an exhausted phenotype. Combination therapy decreases regulatory CD4+ T cells and increases effector memory, early activation and precursor exhausted CD8+ T cells. A combined gene signature comprising these three CD8+ …

Advances In The Radiological Evaluation Of And Theranostics For Glioblastoma, Grayson W Hooper, Shehbaz Ansari, Jason M Johnson, Daniel T Ginat

Faculty, Staff and Student Publications

Imaging is essential for evaluating patients with glioblastoma. Traditionally a multimodality undertaking, CT, including CT cerebral blood profusion, PET/CT with traditional fluorine-18 fluorodeoxyglucose (18F-FDG), and MRI have been the mainstays for diagnosis and post-therapeutic assessment. However, recent advances in these modalities, in league with the emerging fields of radiomics and theranostics, may prove helpful in improving diagnostic accuracy and treating the disease.

A Multidimensional Connectomics- And Radiomics-Based Advanced Machine-Learning Framework To Distinguish Radiation Necrosis From True Progression In Brain Metastases, Yilin Cao, Vishwa S Parekh, Emerson Lee, Xuguang Chen, Kristin J Redmond, Jay J Pillai, Luke Peng, Michael A Jacobs, Lawrence R Kleinberg

Faculty, Staff and Student Publications

We introduce tumor connectomics, a novel MRI-based complex graph theory framework that describes the intricate network of relationships within the tumor and surrounding tissue, and combine this with multiparametric radiomics (mpRad) in a machine-learning approach to distinguish radiation necrosis (RN) from true progression (TP). Pathologically confirmed cases of RN vs. TP in brain metastases treated with SRS were included from a single institution. The region of interest was manually segmented as the single largest diameter of the T1 post-contrast (T1C) lesion plus the corresponding area of T2 FLAIR hyperintensity. There were 40 mpRad features and 6 connectomics features extracted, as …

Leser-Trélat Sign As A Marker For Underlying Pancreatic Cancer, Kalpit Modi, Richard Chen, Layla Abubshait

Einstein Health Papers

Case Presentation: Early diagnosis and rapid treatment of cancer is essential for good clinical outcomes for patients. In this case, an 85-year-old man presented with failure to thrive and was noted to have rapid-onset, multiple seborrheic keratoses (Leser-Trélat sign) on his chest and back. He was ultimately diagnosed with pancreatic cancer using computed tomography.

Discussion: Leser-Trélat sign is a rare cutaneous marker for underlying malignancy. Identification of this sign can help guide diagnostic imaging and lab work to identify an occult internal malignancy, resulting in more rapid diagnosis, earlier treatment, and potentially better clinical outcomes.

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.

Auto-Segmentation In Pancreatic And Liver Radiation Therapy, Cenji Yu

Dissertations and Theses (Open Access)

Background

Gastrointestinal cancers exhibit a high mortality rate compared to other cancer types. Among these, pancreatic cancer ranks as the fourth leading cause of cancer-related deaths worldwide. The five-year survival rate remains alarmingly low at a mere 9%. Hepatocellular carcinoma (HCC), another aggressive form of cancer, is rapidly becoming the primary cause of cancer-related deaths in the United States. The treatment of both liver cancer and pancreatic cancer heavily relies on a multidisciplinary approach. Innovative treatment strategies involving dose-escalated regimens, such as stereotactic body radiation therapy (SBRT), are emerging as an important pillar of the management of liver and pancreatic …

Predicting Severity Of Radiation Induced Lymphopenia In Individual Proton Therapy Patients For Varying Dose Rate And Fractionation Using Dynamic 4-Dimensional Blood Flow Simulations, Lucas Mccullum, Jungwook Shin, Stella Xing, Chris Beekman, Jan Schuemann, Theodore Hong, Dan Duda, Radhe Mohan, Steven H Lin, Camilo M Correa-Alfonso, Sean Domal, Julia Withrow, Wesley Bolch, Harald Paganetti, Clemens Grassberger

Faculty, Staff and Student Publications

PURPOSE: Radiation-induced lymphopenia has gained attention recently as the result of its correlation with survival in a range of indications, particularly when combining radiation therapy (RT) with immunotherapy. The purpose of this study is to use a dynamic blood circulation model combined with observed lymphocyte depletion in patients to derive the in vivo radiosensitivity of circulating lymphocytes and study the effect of RT delivery parameters.

METHODS AND MATERIALS: We assembled a cohort of 17 patients with hepatocellular carcinoma treated with proton RT alone in 15 fractions (fx) using conventional dose rates (beam-on time [BOT], 120 seconds) for whom weekly absolute …

Clinical Outcomes And Tumor Microenvironment Response To Radiofrequency Ablation Therapy: A Systematic Review And Meta-Analysis, Lauren E. Mueller, Peter P. Issa, Mohammad Hosny Hussein, Rami M. Elshazli, Muhib Haidari, Youssef Errami, Mohamed Shama, Manal S. Fawzy, Emad Kandil, Eman Toraih

School of Medicine Faculty Publications

Background: Radiofrequency ablation (RFA) utilizes minimally invasive high-energy current to precisely ablate tumor cells. It has been utilized in many cancer types including thyroid, lung, and liver cancer. It has been shown to provide adequate ablative margins with minimal complications; however, incomplete RFA may lead to recurrence of tumor. The underlying cellular mechanism and behavior of ablated cancer tissue is poorly understood. Methods: A systematic review was performed, searching EMBASE, Web of Science, PubMed, and Scopus for studies published up to July 2022 and reported following PRISMA guidelines. Collection was performed by two groups of investigators to avoid risk of …