Radiation Medicine Commons^™

Desmoplastic Small Round Cell Tumor: An Update Of Current Management Practices, Ahmed Gawash, Alexa Simonetti, Brandon J Goodwin, Alissa Brotman O'Neill

Rowan-Virtua School of Osteopathic Medicine Departmental Research

BACKGROUND: Desmoplastic small round cell tumor (DSRCT) poses a diagnostic challenge, initiating with imaging techniques like ultrasound, CT, MRI, and PET scans, with CT being the primary choice for abdominal tumor visualization. Despite advances, the absence of a standardized staging system complicates the diagnostic process.

METHODS: A comprehensive literature review and search strategy, encompassing databases like PubMed and Cochrane was performed.

RESULTS: Systemic chemotherapy, notably the P6 regimen, is the cornerstone of DSRCT treatment, while other options, including CDK4/6 inhibitors, antibody-drug conjugates, and anlotinib present varying efficacy. A novel chemotherapeutic agent, ONC-201, exhibits promise, inhibiting tumor growth in preclinical models. …

Evaluating Artifact-Free Four-Dimensional Computer Tomography With 16 Cm Detector Array, Inhwan Yeo, Wei Nie, Jiajin Fan, Mindy Joo, Michael Correa, Qianyi Xu

Department of Radiation Oncology Faculty Papers

PURPOSE: To evaluate a 16 cm-array axial four-dimensional computer tomography (4DCT) in comparison with a 4 cm-array 4DCT in the presence of respiration irregularity.

METHOD: Ten traces of lung tumor motion from CyberKnife treatments were imported to move the lung cylinder, containing a spherical target, of a phantom. Images were acquired for the lung that moved to each of the 10-positions/phases (1) step-wisely by nominal helical scan at each movement (ground truth), (2) continuously by 4D scan with the 16 cm array, and (3) the same with the 4 cm array, involving table shift. Irregularities, consisting of baseline shift and/or …

Bridging Gaps In Cancer Care: Utilizing Large Language Models For Accessible Dietary Recommendations, Julia A. Logan, Sriya Sadhu, Cameo Hazlewood, Melissa Denton, Sara Burke, Christina A. Simone-Soule, Caroline Black, Corey Ciaverelli, Jacqueline Stulb, Hamidreza Nourzadeh, Yevgeniy Vinogradskiy, Amy Leader, Adam Dicker, Wookjin Choi, Nicole L Simone

Department of Radiation Oncology Faculty Papers

Background/Objectives: Weight management is directly linked to cancer recurrence and survival, but unfortunately, nutritional oncology counseling is not typically covered by insurance, creating a disparity for patients without nutritional education and food access. Novel ways of imparting personalized nutrition advice are needed to address this issue. Large language models (LLMs) offer a promising path toward tailoring dietary advice to individual patients. This study aimed to assess the capacity of LLMs to offer personalized dietary advice to patients with breast cancer. Methods: Thirty-one prompt templates were designed to evaluate dietary recommendations generated by ChatGPT and Gemini with variations within …

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 …

Patient-Reported Outcomes: Comparing Functional Avoidance And Standard Thoracic Radiation Therapy In Lung Cancer, Spencer Poiset, Joseph Lombardo, Edward Castillo, Richard Castillo, Bernard Jones, Moyed Miften, Brian Kavanagh, Adam Dicker, Cullen Boyle, Nicole Simone, Benjamin Movsas, Inga Grills, Chad Rusthoven, Yevgeniy Vinogradskiy, Lydia Wilson

Department of Radiation Oncology Faculty Papers

PURPOSE: Novel methods generate functional images using image processing techniques combined with four-dimensional computed tomography (4DCT) data (4DCT-ventilation). 4DCT-ventilation was implemented in a phase II, multicenter functional avoidance clinical trial. The work compares functional avoidance patient-reported outcomes (PROs) against historical standards.

METHODS: Patients with locally advanced lung cancer undergoing curative-intent chemoradiation were accrued. 4DCT-ventilation imaging was generated and functional avoidance treatment plans created reduced dose to functional lung. PRO instruments included Functional Assessment of Cancer Therapy Lung questionnaire and accompanying subscales (including the Trial Outcome Index [TOI]), EuroQol-5 Dimension (EQ-5D), and EQ-Visual Analog Scale (EQ-VAS). The average change from baseline …

Deep Learning-Based Auto-Segmentation For Liver Yttrium-90 Selective Internal Radiation Therapy, Jun Li, Wookjin Choi, Rani Anne

Department of Radiation Oncology Faculty Papers

The aim was to evaluate a deep learning-based auto-segmentation method for liver delineation in Y-90 selective internal radiation therapy (SIRT). A deep learning (DL)-based liver segmentation model using the U-Net3D architecture was built. Auto-segmentation of the liver was tested in CT images of SIRT patients. DL auto-segmented liver contours were evaluated against physician manually-delineated contours. Dice similarity coefficient (DSC) and mean distance to agreement (MDA) were calculated. The DL-model-generated contours were compared with the contours generated using an Atlas-based method. Ratio of volume (RV, the ratio of DL-model auto-segmented liver volume to manually-delineated liver volume), and ratio of activity (RA, …

Three-Dimensional Deep Learning Normal Tissue Complication Probability Model To Predict Late Xerostomia In Patients With Head And Neck Cancer, Hung Chu, Suzanne P M De Vette, Hendrike Neh, Nanna M Sijtsema, Roel J H M Steenbakkers, Amy Moreno, Johannes A Langendijk, Peter M A Van Ooijen, Clifton D Fuller, Lisanne V Van Dijk

Faculty, Staff and Student Publications

Purpose: Conventional normal tissue complication probability (NTCP) models for patients with head and neck cancer are typically based on single-value variables, which, for radiation-induced xerostomia, are baseline xerostomia and mean salivary gland doses. This study aimed to improve the prediction of late xerostomia by using 3-dimensional information from radiation dose distributions, computed tomography imaging, organ-at-risk segmentations, and clinical variables with deep learning (DL).

Methods and materials: An international cohort of 1208 patients with head and neck cancer from 2 institutes was used to train and twice validate DL models (deep convolutional neural network, EfficientNet-v2, and ResNet) with 3-dimensional dose distribution, …

Isolation, Discrimination, And Feeling “Constant Guilt”: A Mixed-Methods Analysis Of Female Physicians’ Experience With Fertility, Family Planning, And Oncology Careers, Sarah Marion, Shraddha M Dalwadi, Aleksandra Kuczmarska-Haas, Erin F Gillespie, Michelle S Ludwig, Emma B Holliday, Bridgette Thom, Fumiko Chino, Anna Lee

Faculty, Staff and Students Publications

Introduction: Family planning among female physicians is harmed by high risks of infertility, workload burden, poor family leave policies, and gender discrimination. Many women report feeling unsupported in the workplace, despite national policies to protect against unfair treatment.

Methods: This secondary analysis applied a modified version of the rigorous and accelerated data reduction technique to conduct a thematic analysis of comments to an open-ended prompt. Comments were coded by multiple trained researchers then grouped and merged into illustrative themes via qualitative techniques.

Results: Of 1004 responses to the quantitative survey, 162 physicians completed the open-ended prompt. Initial codes (n = …

Conference Report: Review Of Clinical Implementation Of Advanced Quantitative Imaging Techniques For Personalized Radiotherapy, Yevgeniy Vinogradskiy, Houda Bahig, Nicholas Bucknell, Jeffrey Buchsbaum, Hui-Kuo George Shu

Department of Radiation Oncology Faculty Papers

The topic of quantitative imaging in radiation therapy was presented as a "Masterclass" at the 2023 annual meeting of the American Society of Radiation Oncology (ASTRO). Dual-energy computed tomography (CT) and single-positron computed tomography were reviewed in detail as the first portion of the meeting session, with data showing utility in many aspects of radiation oncology including treatment planning and dose response. Positron emission tomography/CT scans evaluating the functional volume of lung tissue so as to provide optimal avoidance of healthy lungs were presented second. Advanced brain imaging was then discussed in the context of different forms of magnetic resonance …

Durable Local Control With Hypofractionated Radiation Therapy For Unresectable Or Metastatic Melanoma, Sydney A Keatts, Aya F Salem, David M Swanson, Ahsan S Farooqi, Andrew J Bishop, Rodabe N Amaria, Jennifer L Mcquade, Isabella C Glitza Oliva, Adi Diab, Roi Weiser, Sarah B Fisher, Ryan P Goepfert, Merrick I Ross, B Ashleigh Guadagnolo, Devarati Mitra

Faculty, Staff and Student Publications

BACKGROUND AND PURPOSE: As patients with advanced melanoma live longer in the context of systemic therapy advancements, better strategies for durable control of bulky tumors are needed. In this study, we evaluated if dose-escalated hypofractionated radiation therapy (HFRT) can provide durable local control and improve tumor-associated symptoms in patients with unresectable or bulky metastatic melanoma for whom stereotactic ablative radiotherapy (RT) approaches are not feasible due to tumor size or location.

MATERIALS AND METHODS: We retrospectively reviewed 49 patients with unresectable or bulky metastatic melanoma who were treated to a total of 53 tumor targets with 12-17 fractions HFRT at …

Atr Inhibition Radiosensitizes Cells Through Augmented Dna Damage And G2 Cell Cycle Arrest Abrogation, Scott J Bright, Mandira Manandhar, David B Flint, Rishab Kolachina, Mariam Ben Kacem, David Kj Martinus, Broderick X Turner, Ilsa Qureshi, Conor H Mcfadden, Poliana C Marinello, Simona F Shaitelman, Gabriel O Sawakuchi

Faculty, Staff and Student Publications

Ataxia telangiectasia and Rad3-related protein (ATR) is a key DNA damage response protein that facilitates DNA damage repair and regulates cell cycle progression. As such, ATR is an important component of the cellular response to radiation, particularly in cancer cells, which show altered DNA damage response and aberrant cell cycle checkpoints. Therefore, ATR's pharmacological inhibition could be an effective radiosensitization strategy to improve radiotherapy. We assessed the ability of an ATR inhibitor, AZD6738, to sensitize cancer cell lines of various histologic types to photon and proton radiotherapy. We found that radiosensitization took place through persistent DNA damage and abrogated G2 …

S6k1 Controls Dna Damage Signaling Modulated By The Mrn Complex To Induce Radioresistance In Lung Cancer, Ali Calderon-Aparicio, Jun He, Nicole L. Simone

Department of Radiation Oncology Faculty Papers

Radiation is a mainstay of lung cancer treatment; however, resistance frequently develops. Identifying novel therapeutic targets to increase radiation sensitivity is crucial. S6K1 is a serine/threonine kinase known to regulate protein translation which is associated with radioresistance, but the mechanisms involved are unknown. We proposed to determine whether S6K1 promotes radioresistance by regulating DNA repair in lung cancer. Colony formation, protein expression and proliferation were assessed. S6K1 was modulated pharmacologically by either PF-4708671 or genetically by Crispr-Cas9. Higher radioresistance levels in lung cancer cells were associated with lower phosphoactivation of MRN complex members, a key activator of radiation-induced DNA repair …

Comparison Of Open Thoracoabdominal Repair For Chronic Aortic Dissections And Aneurysms, Ian O Cook, Susan Y Green, Kimberly R Rebello, Qianzi Zhang, Veronica A Glover, Rodrigo Zea-Vera, Marc R Moon, Scott A Lemaire, Joseph S Coselli

Faculty, Staff and Students Publications

Objective: Aortic dissection is common in patients undergoing open surgical repair of thoracoabdominal aortic aneurysms (TAAAs). Most often, dissection is chronic and is associated with progressive aortic dilatation. Because contemporary outcomes in chronic dissection are not clearly understood, we compared patient characteristics and outcomes after open TAAA repair between patients with chronic dissection and those with non-dissection aneurysm.

Methods: We retrospectively analyzed data from 3470 open TAAA repairs performed in a single practice. Operations were for non-dissection aneurysm in 2351 (67.8%) and chronic dissection in 1119 (32.2%). Outcomes included operative mortality and adverse events, a composite variable comprising operative death …

Ai-Assisted Segmentation Tool For Brain Tumor Mr Image Analysis, Myungeun Lee, Jong Hyo Kim, Wookjin Choi, Ki Hong Lee

Department of Radiation Oncology Faculty Papers

TumorPrism3D software was developed to segment brain tumors with a straightforward and user-friendly graphical interface applied to two- and three-dimensional brain magnetic resonance (MR) images. The MR images of 185 patients (103 males, 82 females) with glioblastoma multiforme were downloaded from The Cancer Imaging Archive (TCIA) to test the tumor segmentation performance of this software. Regions of interest (ROIs) corresponding to contrast-enhancing lesions, necrotic portions, and non-enhancing T2 high signal intensity components were segmented for each tumor. TumorPrism3D demonstrated high accuracy in segmenting all three tumor components in cases of glioblastoma multiforme. They achieved a better Dice similarity coefficient (DSC) …

Longitudinal Changes In The Carotid Arteries Of Head And Neck Cancer Patients Following Radiation Therapy: Results From A Prospective Serial Imaging Biomarker Characterization Study, Efstratios Koutroumpakis, Abdallah Sherif Radwan Mohamed, Peter Chaftari, David I Rosenthal, Dorothy Gujral, Christopher Nutting, Serageldin Kamel, Mohamed A Naser, Peter Kim, Roland Bassett, Clifton D Fuller, Elie Mouhayar, Md Anderson Head Neck Radiation Oncology Cardiovascular Working Group

Faculty, Staff and Student Publications

INTRODUCTION: We prospectively evaluated morphologic and functional changes in the carotid arteries of patients treated with unilateral neck radiation therapy (RT) for head and neck cancer.

METHODS: Bilateral carotid artery duplex studies were performed at 0, 3, 6, 12, 18 months and 2, 3, 4, and 5 years following RT. Intima media thickness (IMT); global and regional circumferential, as well as radial strain, arterial elasticity, stiffness, and distensibility were calculated.

RESULTS: Thirty-eight patients were included. A significant difference in the IMT from baseline between irradiated and unirradiated carotid arteries was detected at 18 months (median, 0.073 mm vs -0.003 mm; …

Adding 6 Months Of Androgen Deprivation Therapy To Postoperative Radiotherapy For Prostate Cancer: A Comparison Of Short-Course Versus No Androgen Deprivation Therapy In The Radicals-Hd Randomised Controlled Trial, Chris C Parker, Noel W Clarke, Adrian D Cook, Howard Kynaston, Charles N Catton, William R Cross, Peter M Petersen, Rajendra A Persad, Fred Saad, Lorna C Bower, John Logue, Heather Payne, Silvia Forcat, Cindy Goldstein, Claire Murphy, Juliette Anderson, Maroie Barkati, David M Bottomley, Jennifer Branagan, Ananya Choudhury, Peter W M Chung, Lyn Cogley, Chee L Goh, Peter Hoskin, Vincent Khoo, Shawn C Malone, Lindsey Masters, Stephen L Morris, Abdenour Nabid, Aldrich D Ong, Rakesh Raman, Kathryn L Tarver, Alison C Tree, Jane Worlding, James P Wylie, Anjali M Zarkar, Wendy R Parulekar, Mahesh K B Parmar, Matthew R Sydes, Radicals Investigators

Faculty, Staff and Student Publications

BACKGROUND: Previous evidence indicates that adjuvant, short-course androgen deprivation therapy (ADT) improves metastasis-free survival when given with primary radiotherapy for intermediate-risk and high-risk localised prostate cancer. However, the value of ADT with postoperative radiotherapy after radical prostatectomy is unclear.

METHODS: RADICALS-HD was an international randomised controlled trial to test the efficacy of ADT used in combination with postoperative radiotherapy for prostate cancer. Key eligibility criteria were indication for radiotherapy after radical prostatectomy for prostate cancer, prostate-specific antigen less than 5 ng/mL, absence of metastatic disease, and written consent. Participants were randomly assigned (1:1) to radiotherapy alone (no ADT) or radiotherapy …

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 …

Novel 3d Printed Universal Conical Holder For Eye Plaque Quality Assurance, Wentao Wang, Jacqueline Emrich, Firas Mourtada

Department of Radiation Oncology Faculty Papers

PURPOSE: For the custom-built construction of eye plaques, the iodine (I-125) seeds of different source strengths are recycled in our eye plaque program. To return I-125 seeds to the correct lot, we developed a novel 3D-printed conical plaque QA holder for relative assay for eye plaques.

MATERIALS AND METHODS: A universal 3D-printed conical plaque holder was designed to accommodate six plaque sizes and fit reproducibly in a well-type dose calibrator. A reproducibility test was used to compare the plaque placement consistency in the holder versus without the holder. Plaque assays were performed for assembled plaques both before implant and after …

Mammographic Density Mediates The Protective Effect Of Early-Life Body Size On Breast Cancer Risk, Marina Vabistsevits, George Davey Smith, Tom G Richardson, Rebecca C Richmond, Weiva Sieh, Joseph H Rothstein, Laurel A Habel, Stacey E Alexeeff, Bethan Lloyd-Lewis, Eleanor Sanderson

Faculty, Staff and Student Publications

The unexplained protective effect of childhood adiposity on breast cancer risk may be mediated via mammographic density (MD). Here, we investigate a complex relationship between adiposity in childhood and adulthood, puberty onset, MD phenotypes (dense area (DA), non-dense area (NDA), percent density (PD)), and their effects on breast cancer. We use Mendelian randomization (MR) and multivariable MR to estimate the total and direct effects of adiposity and age at menarche on MD phenotypes. Childhood adiposity has a decreasing effect on DA, while adulthood adiposity increases NDA. Later menarche increases DA/PD, but when accounting for childhood adiposity, this effect is attenuated. …

Multi-Institution Single Geometry Plan Complexity Characteristics Based On Iroc Phantoms, Vimal Desai, Zacariah Labby, Wesley Culberson, Larry Dewerd, Stephen Kry

Department of Radiation Oncology Faculty Papers

BACKGROUND: Clinical intensity modulated radiation therapy plans have been described using various complexity metrics to help identify problematic radiotherapy plans. Most previous studies related to the quantification of plan complexity and their utility have relied on institution-specific plans which can be highly variable depending on the machines, planning techniques, delivery modalities, and measurement devices used. In this work, 1723 plans treating one of only four standardized geometries were simultaneously analyzed to investigate how radiation plan complexity metrics vary across four different sets of common objectives.

PURPOSE: To assess the treatment plan complexity characteristics of plans developed for Imaging and Radiation …

New Horizons In Hyperpolarized13c Mri, Myriam M Chaumeil, James A Bankson, Kevin M Brindle, Shdema Epstein, Ferdia A Gallagher, Martin Grashei, Caroline Guglielmetti, Joshua D Kaggie, Kayvan R Keshari, Stephan Knecht, Christoffer Laustsen, Andreas B Schmidt, Daniel Vigneron, Yi-Fen Yen, Franz Schilling

Faculty, Staff and Student Publications

Hyperpolarization techniques significantly enhance the sensitivity of magnetic resonance (MR) and thus present fascinating new directions for research and applications with in vivo MR imaging and spectroscopy (MRI/S). Hyperpolarized 13C MRI/S, in particular, enables real-time non-invasive assessment of metabolic processes and holds great promise for a diverse range of clinical applications spanning fields like oncology, neurology, and cardiology, with a potential for improving early diagnosis of disease, patient stratification, and therapy response assessment. Despite its potential, technical challenges remain for achieving clinical translation. This paper provides an overview of the discussions that took place at the international workshop "New Horizons …

Real World Clinical Experience Using Daily Intelligence-Assisted Online Adaptive Radiotherapy For Head And Neck Cancer, Philip Blumenfeld, Eduard Arbit, Robert Den, Ayman Salhab, Tal Falick Michaeli, Marc Wygoda, Yair Hillman, Raphael Pfeffer, Marcel Fang, Yael Misrati, Noam Weizman, Jon Feldman, Aron Popovtzer

Department of Radiation Oncology Faculty Papers

Background

Adaptive radiation therapy (ART) offers a dynamic approach to address structural and spatial changes that occur during radiotherapy (RT) for locally advanced head and neck cancers. The integration of daily ART with Cone-Beam CT (CBCT) imaging presents a solution to enhance the therapeutic ratio by addressing inter-fractional changes.

Methods

We evaluated the initial clinical experience of daily ART for patients with head and neck cancer using an online adaptive platform with intelligence-assisted workflows on daily CBCT. Treatment included auto-contour and structure deformation of Organs at Risk (OARs) and target structures, with adjustments by the treating physician. Two plans were …

Clinical And Dosimetric Results Of Proton Or Photon Radiation Therapy For Large (>5 Cm) Hepatocellular Carcinoma: A Retrospective Analysis, Rodney Cheng-En Hsieh, Ching-Hsin Lee, Hsiao-Chieh Huang, Shu-Wei Wu, Chen-Yu Chou, Sheng-Ping Hung, Chao-Wei Lee, Sunil Krishnan, Bhanu Prasad Venkatesulu, Jin-Chiao Lee, Yung-Chih Chou, Kun-Ming Chan, Po-Ting Lin, Wei-Chen Lee, Chen-Chun Lin, Shen-Yen Lin, Ji-Hong Hong

Faculty, Staff and Student Publications

Purpose: Our purpose was to report the clinical and dosimetric attributes of patients with large unresectable hepatocellular carcinoma (HCC) undergoing proton or photon radiation therapy.

Methods and materials: We retrospectively analyzed the outcomes and dosimetric indices of 159 patients with >5 cm nonmetastatic HCC who underwent definitive radiation therapy using either protons (N = 105) or photons (N = 54) between 2014 and 2018. Additional photon plans were performed in the 105 proton-treated patients using the same dose prescription criteria for intragroup dosimetric comparison.

Results: After a median follow-up of 47 months, patients with biologically effective dose (BED10) ≥ 75 …

Biological Insights From Plasma Proteomics Of Non-Small Cell Lung Cancer Patients Treated With Immunotherapy, Jair Bar, Raya Leibowitz, Niels Reinmuth, Astrid Ammendola, Eyal Jacob, Mor Moskovitz, Adva Levy-Barda, Michal Lotem, Rivka Katsenelson, Abed Agbarya, Mahmoud Abu-Amna, Maya Gottfried, Tatiana Harkovsky, Ido Wolf, Ella Tepper, Gil Loewenthal, Ben Yellin, Yehuda Brody, Nili Dahan, Maya Yanko, Coren Lahav, Michal Harel, Shani Raveh Shoval, Yehonatan Elon, Itamar Sela, Adam Dicker, Yuval Shaked

Department of Radiation Oncology Faculty Papers

INTRODUCTION: Immune checkpoint inhibitors have made a paradigm shift in the treatment of non-small cell lung cancer (NSCLC). However, clinical response varies widely and robust predictive biomarkers for patient stratification are lacking. Here, we characterize early on-treatment proteomic changes in blood plasma to gain a better understanding of treatment response and resistance.

METHODS: Pre-treatment (T0) and on-treatment (T1) plasma samples were collected from 225 NSCLC patients receiving PD-1/PD-L1 inhibitor-based regimens. Plasma was profiled using aptamer-based technology to quantify approximately 7000 plasma proteins per sample. Proteins displaying significant fold changes (T1:T0) were analyzed further to identify associations with clinical outcomes using …

Fully Automated Deep Learning Based Auto-Contouring Of Liver Segments And Spleen On Contrast-Enhanced Ct Images, Aashish C Gupta, Guillaume Cazoulat, Mais Al Taie, Sireesha Yedururi, Bastien Rigaud, Austin Castelo, John Wood, Cenji Yu, Caleb O'Connor, Usama Salem, Jessica Albuquerque Marques Silva, Aaron Kyle Jones, Molly Mcculloch, Bruno C Odisio, Eugene J Koay, Kristy K Brock

Faculty, Staff and Student Publications

Manual delineation of liver segments on computed tomography (CT) images for primary/secondary liver cancer (LC) patients is time-intensive and prone to inter/intra-observer variability. Therefore, we developed a deep-learning-based model to auto-contour liver segments and spleen on contrast-enhanced CT (CECT) images. We trained two models using 3d patch-based attention U-Net ([Formula: see text] and 3d full resolution of nnU-Net ([Formula: see text] to determine the best architecture ([Formula: see text]. BA was used with vessels ([Formula: see text] and spleen ([Formula: see text] to assess the impact on segment contouring. Models were trained, validated, and tested on 160 ([Formula: see text]), …

Tumor Treating Fields Increases Blood-Brain Barrier Permeability And Relative Cerebral Blood Volume In Patients With Glioblastoma, Michael Iv, Lewis Naya, Sajal Sanan, Samuel L Van Buskirk, Seema Nagpal, Reena P Thomas, Lawrence D Recht, Chirag B Patel

Faculty, Staff and Student Publications

BACKGROUND AND OBJECTIVE: 200 kHz tumor treating fields (TTFields) is clinically approved for newly-diagnosed glioblastoma (nGBM). Because its effects on conventional surveillance MRI brain scans are equivocal, we investigated its effects on perfusion MRI (pMRI) brain scans.

METHODS: Each patient underwent institutional standard pMRI: dynamic contrast-enhanced (DCE) and dynamic susceptibility contrast (DSC) pMRI at three time points: baseline, 2-, and 6-months on-adjuvant therapy. At each timepoint, the difference between T1 pre- versus post-contrast tumor volume (ΔT1) and these pMRI metrics were evaluated: normalized and standardized relative cerebral blood volume (nRCBV, sRCBV); fractional plasma volume (V

RESULTS: Among 13 pMRI datasets …

Predicting Radiotherapy Patient Outcomes With Real-Time Clinical Data Using Mathematical Modelling, Alexander P Browning, Thomas D Lewin, Ruth E Baker, Philip K Maini, Eduardo G Moros, Jimmy Caudell, Helen M Byrne, Heiko Enderling

Faculty, Staff and Student Publications

Longitudinal tumour volume data from head-and-neck cancer patients show that tumours of comparable pre-treatment size and stage may respond very differently to the same radiotherapy fractionation protocol. Mathematical models are often proposed to predict treatment outcome in this context, and have the potential to guide clinical decision-making and inform personalised fractionation protocols. Hindering effective use of models in this context is the sparsity of clinical measurements juxtaposed with the model complexity required to produce the full range of possible patient responses. In this work, we present a compartment model of tumour volume and tumour composition, which, despite relative simplicity, is …

Evidence Of Direct Interaction Between Cisplatin And The Caspase-Cleaved Prostate Apoptosis Response-4 Tumor Suppressor, Krishna K. Raut, Samjhana Pandey, Gyanendra Kharel, Steven M. Pascal

Chemistry & Biochemistry Faculty Publications

Prostate apoptosis response-4 (Par-4) tumor suppressor protein has gained attention as a potential therapeutic target owing to its unique ability to selectively induce apoptosis in cancer cells, sensitize them to chemotherapy and radiotherapy, and mitigate drug resistance. It has recently been reported that Par-4 interacts synergistically with cisplatin, a widely used anticancer drug. However, the mechanistic details underlying this relationship remain elusive. In this investigation, we employed an array of biophysical techniques, including circular dichroism spectroscopy, dynamic light scattering, and UV–vis absorption spectroscopy, to characterize the interaction between the active caspase-cleaved Par-4 (cl-Par-4) fragment and cisplatin. Additionally, elemental analysis was …

Racial Disparities In Thoracic Aortic Surgery: Myth Or Reality?, Ourania Preventza, Elizabeth Akpan-Smart, Khan Lubna, Katherine Simpson, Lorraine Cornwell, Sydney Schmitt, Hiruni S Amarasekara, Scott A Lemaire, Joseph S Coselli

Faculty, Staff and Students Publications

Objective: We examined the relationship between Black or White race and adverse outcomes in patients who underwent surgery of the ascending aorta, aortic root, or aortic arch at our center.

Methods: We analyzed 2335 consecutive patients who identified as Black (n = 217, 9.3%) or White (n = 2118, 90.7%) and underwent proximal aortic surgery. Patient zip codes were used to determine community socioeconomic (CSE) characteristics. The composite adverse outcome comprised mortality, persistent neurologic injury, and renal failure necessitating dialysis at discharge. We performed multivariable analysis, Kaplan-Meier analysis, and propensity score matching adjusted for CSE factors.

Results: Median follow-up time …

Identification Of Ct-Based Non-Invasive Radiomic Biomarkers For Overall Survival Prediction In Oral Cavity Squamous Cell Carcinoma, Xiao Ling, Gregory S. Alexander, Jason Molitoris, Jinhyuk Choi, Lisa Schumaker, Ranee Mehra, Daria A. Gaykalova, Lei Ren

Department of Radiation Oncology Faculty Papers

This study addresses the limited non-invasive tools for Oral Cavity Squamous Cell Carcinoma (OSCC) survival prediction by identifying Computed Tomography (CT)-based biomarkers to improve prognosis prediction. A retrospective analysis was conducted on data from 149 OSCC patients, including CT radiomics and clinical information. An ensemble approach involving correlation analysis, score screening, and the Sparse-L1 algorithm was used to select functional features, which were then used to build Cox Proportional Hazards models (CPH). Our CPH achieved a 0.70 concordance index in testing. The model identified two CT-based radiomics features, Gradient-Neighboring-Gray-Tone-Difference-Matrix-Strength (GNS) and normalized-Wavelet-LLL-Gray-Level-Dependence-Matrix-Large-Dependence-High-Gray-Level-Emphasis (HLE), as well as stage and alcohol usage, …