Radiation Medicine Commons^™

Feasibility Evaluation Of Tumor Treating Fields For Brainstem Gliomas, Anthony Chen, Ryan Shah, William Shi, Noa Urman, Nadav Shapira, Nicholas Avgeropoulos, Patrick Conlon, Neil Mookerjee, Wenyin Shi

Department of Radiation Oncology Faculty Papers

PURPOSE: Tumor treating fields (TTFields) are FDA-approved for supratentorial glioblastoma, but feasibility in infratentorial tumors remains poorly defined. This simulation study evaluated TTFields dose in brainstem gliomas using patient-specific modeling with scalp-only transducer arrays.

METHODS: MRI and CT imaging from seven patients with brainstem gliomas were used for TTFields planning with MAXPOINT® (Novocure, Switzerland). Clinical target volume (CTV) was defined as enhancing tumor on T1 post-contrast MRI (Gross tumor volume, GTV) plus a 3 mm peritumoral expansion. The platform optimized scalp-only array layouts, and finite element calculations generated maps of local minimum field intensity (LMiFI, V/cm) and local minimum power …

Fractionated Stereotactic Radiotherapy (Fsrt) For Symptomatic Who Grade 1 Cavernous Sinus Meningiomas: Long-Term Local Control, Clinical Response, And Toxicity Outcomes, Ryan Shah, Shray Jain, Nilanjan Haldar, Lauren A. Holt, Robert Walker, Christopher J Farrell, Md, Debanjan Haldar, James J. Evans, Gregory S. Alexander, Wenyin Shi

Department of Radiation Oncology Faculty Papers

PURPOSE: Cavernous sinus meningiomas represent a significant clinical challenge, given the high prevalence of neurological deficits and limited surgical options. Radiation therapy is often the preferred treatment. This study evaluates the effectiveness of fractionated stereotactic radiation therapy (fSRT) in achieving local control and symptomatic relief in patients with cavernous sinus meningiomas.

METHODS: This is a single-institution retrospective analysis of patients with symptomatic presumed WHO grade 1 cavernous sinus meningiomas treated with fSRT (1.8-2 Gy per fraction). Clinical data were collected by chart review. Kaplan-Meier curves were generated to assess local control. Clinical responses were evaluated for symptom improvement, stability, or …

Folr1-Targeted Actinium-225-Based Alpha-Particle Therapy Eliminates Ovarian Cancer, Neetu Singh, Esther Need, Ayden Berndt, Matthew Goff, Lydia J. Wilson, Firas Mourtada, Feng Guo, Tara Mastren, Taslim Al-Hilal, Anil K. Sood, Amit Maity, Scott C. Miller, Satoshi Minoshima, Shreya Goel, Sixiang Shi

Department of Radiation Oncology Faculty Papers

Despite the advancement in therapies, ovarian cancer treatment is challenging because of poor prognosis and high relapse associated with acquired resistance. Emerging targeted alpha particles, particularly actinium-225 (225Ac), for treating refractory cancers have opened avenues for improved therapeutic options. Here, we describe a successful example of folate receptor 1 (FOLR1)–targeted 225Ac alpha-particle therapy for treatment of ovarian cancer. Longitudinal positron emission tomography imaging demonstrated high tumor-specific uptake of αFOLR1 (anti-FOLR1 antibody) in SKOV3 xenografts. FOLR1-targeted 225Ac demonstrated high therapeutic efficacy, achieving marked tumor regression, 80% survival, and 40% complete tumor elimination. The therapy resulted in tumor-specific double-stranded DNA damage, and …

A Multimodal Artificial Intelligence Model To Guide Use Of Whole-Pelvic Radiation Therapy In Patients With Localized Prostate Cancer: Exploratory Analysis Of Rtog 9413, Mutlay Sayan, Huei-Chung Huang, Erin L. Stewart, Timothy N. Showalter, Adam P. Dicker, George Daniel Grass, Elizabeth M. Gore, Andrew Michael Mcdonald, J. Daniel Pennington, Mark A. Hallman, Igor J. Barani, I-Chow Hsu, Michael Rooney, Stephanie L. Pugh, Paul L. Nguyen, Phuoc T. Tran, Mack Roach Iii

Department of Radiation Oncology Faculty Papers

Background/Objectives: This study explored whether a multimodal artificial intelligence (MMAI) model integrating digitized histopathology and clinical features can identify prostate cancer patients who may benefit from neoadjuvant hormonal therapy (NHT) and whole-pelvic radiotherapy (WPRT). Methods: This secondary analysis of NRG/RTOG 9413 included NHT-treated patients with digitized biopsy slides and clinical data who were not part of the MMAI model optimization. A previously validated MMAI model estimated long-term risk, and Fine-Gray models evaluated interactions between MMAI-derived scores and the radiation field (WPRT vs. prostate-only RT [PORT]) for biochemical failure (BF), chosen over progression-free survival because of extended follow-up and distant metastasis …

Celiac Plexus Radiosurgery For Retroperitoneal Pain In Advanced Cancer: A Pre-Specified Secondary Analysis Of Health-Related Quality Of Life In A Phase Ii Single-Arm Trial, Aisling Barry, Ronen Fluss, Laura Dawson, David Hausner, Michael Buckstein, Talia Golin, Laurence Freedman, Marcin Miszczyk, Dayssy Diazpardo, Artur Aguiar, Dror Limon, Raphael Pfeffer, Moaz Ben-Ayun, Liat Hammer, Ziv Symon, Ofir Morag, Gali Jacobson, Adam Dicker, Jerzy Wydmanski, Camilla Zimmermann, Yaacov Lawrence

Department of Radiation Oncology Faculty Papers

BACKGROUND: Retroperitoneal pain syndrome seen in pancreatic cancer is a major clinical challenge. Celiac plexus radiosurgery, a new palliative technique for retroperitoneal pain syndrome, decreased pain levels in a phase II study. Here Health-Related Quality of Life (HRQOL) outcomes are reported.

METHODS: Evaluable patients, who were enrolled between January 2018 and December 2021, in an international single-arm Phase II ethics-approved study (NCT03323489), were included. The pre-specified secondary endpoint-change in HRQOL from baseline to 3- and 6-weeks post-treatment, was measured by the Functional Assessment of Cancer Therapy - Hepatobiliary (FACT-Hep) version 4 questionnaire. Mean change was deemed clinically significant (CS) if …

Predicting Ventilation From Single Breathing Phase Non-Contrast Ct Using Swin Transformers, Yi-Kuan Liu, Hsu-Ting Kuo, Alaa Melek, Richard Castillo, Yevgeniy Vinogradskiy, Lili Zhao, Girish Nair, Edward Castillo

Department of Radiation Oncology Faculty Papers

BACKGROUND: Pulmonary ventilation imaging enables functional avoidance radiotherapy treatment plans by quantifying regional lung function. However, current clinical standards, such as 99𝑚Tc-based single-photon emission computed tomography (SPECT), rely on radioactive tracers, which can introduce imaging deposition artifacts. CT ventilation imaging (CTVI) methods based on both physical models and deep learning approaches currently require multiple CT images as input, such as the inhale/exhale phases of a 4DCT. While the theoretical foundation of physics-based CTVI is built on multi-phase information, the feasibility of single-phase deep learning CTV models has not been determined.

PURPOSE: While deep learning methods have predicted SPECT ventilation from …

Computed Tomography For Four-Dimensional Dose Calculation: Effect Of Detector Array Length, Inhwan Yeo, Qianyi Xu

Department of Radiation Oncology Faculty Papers

PURPOSE: Four-dimensional computed tomography (4DCT) is susceptible to a geometrical error when respiration changes upon patient shift. 4DCT using 16-cm detector arrays, not needing the shift, has been shown to improve geometrical accuracy, compared with a conventional 4DCT (4-cm array), albeit with some Hounsfield unit discrepancies. The 4DCTs were validated for 4D planning.

MATERIALS AND METHODS: A lung-mimicking phantom containing a spherical target with ten respiratory traces and three tumor-shaped targets with their traces was respectively imaged when, to each of the ten-positions/phases, the lung was moved (1) step-wisely by helical scan at each movement (ground truth; 4DCT_GT), …

Prescription Tradeoff Decision Support For Pancreas Stereotactic Body Radiation Therapy: From Templates To Artificial Intelligence Models, Yibo Xie, Manisha Palta, Ruilin Li, Wentao Wang, Qiuwen Wu, Yaorong Ge, Q. Jackie Wu, Yang Sheng

Department of Radiation Oncology Faculty Papers

Objective: To develop an artificial intelligence (AI) driven plan tradeoff decision making assistant for radiation oncologists. Methods: A user interface (UI) was developed to integrate the assistant with the treatment planning system to facilitate prescription decision process. The assistant is powered by a machine learning core which was trained to learn the balance between planning target volume (PTV) coverage and organs-at-risk (OAR) sparing. A group of 98 pancreatic stereotactic body radiation therapy (SBRT) cases were retrospectively included for this study. The clinical plan's PTV coverage was compared against the model predicted value. A 10-fold cross validation was performed for all …

A Mitochondrial Plasma Proteomic Signature Identifies Metastatic Chromophobe Renal Cell Carcinoma, Clara Steiner, Tiegang Han, Steven Safi, Wafaa Bzeih, Hadi Mansour, Eddy Saad, Jessica F. Williams, Vinay K. Giri, Liliana Ascione, Yehonatan Elon, Adam P. Dicker, Yan Tang, Toni K. Choueiri, Elizabeth P. Henske, Wenxin Xu

Department of Radiation Oncology Faculty Papers

BACKGROUND: Chromophobe renal cell carcinoma (ChRCC) is characterized by the accumulation of abnormal mitochondria, a high rate of mitochondrial DNA (mtDNA) mutations, and altered oxidative metabolism. There are no existing circulating biomarkers to distinguish metastatic ChRCC from clear cell renal cell carcinoma (ccRCC).

METHODS: High-throughput plasma proteomic profiling using the SomaScan platform was performed in 18 ChRCC (including 16 metastatic ChRCC) and 197 metastatic ccRCC patients. Data were harmonized to generate a unified 7K-protein matrix.

RESULTS: Differential expression analysis was performed using limma (version 3.62.2). Of 7272 quantified human plasma proteins, 209 were differentially expressed between ChRCC and ccRCC. Upregulated …

S6k1 Modulates Stat3 Activation To Promote Resistance To Radiotherapy In Lung Cancer, Ali Calderon-Aparicio, Noelle Francois, Tyler Grenda, Shan Xu, Olugbenga Okusanya, Jun He, Nicole L Simone

Department of Radiation Oncology Faculty Papers

Radiotherapy is a mainstay in the management of locally advanced lung cancer; however, intrinsic and acquired radioresistance contribute to poor prognosis. S6K1, a serine/threonine kinase, regulates cell growth, protein synthesis, and survival, and is increased in tumors, which is linked to enhanced survival under therapeutic stress, including radiation. The mechanisms, however, are not fully understood. This study investigates the role of S6K1 in lung cancer radioresistance and the mechanisms involved. Intrinsic radioresistance in lung cancer cells was associated with increased S6K1 activation. Pharmacologic inhibition or genetic deletion of S6K1 enhanced radiosensitivity both in vitro and in vivo, highlighting the therapeutic …

Evaluation Of The Intempo Path Set For Cyberknife Prostate And Lung Sbrt: A Single-Institution Experience, Yingcui Jia, Lei Fu, Shari Rudoler, Eric Gressen, Yevgeniy Vinogradskiy, Qianyi Xu

Department of Radiation Oncology Faculty Papers

PURPOSE: The InTempo adaptive imaging system is an important component of the Accuray CyberKnife System, designed to enhance the system's ability to track and correct tumor motion during treatment. However, a limitation of this feature is the reduction of available nodes for treatment planning. The impact of a reduced number of nodes on the quality of InTempo-based treatment plans has not previously been evaluated. This retrospective study aims to compare the dosimetry of CyberKnife plans with and without The InTempo path set for both prostate and lung stereotactic body radiotherapy (SBRT).

METHODS: This study included twelve consecutive prostate SBRT patients …

Intralabyrinthine Mri Flair As A Predictive Marker For Hearing Loss In Vestibular Schwannomas In Neurofibromatosis Type 2, Robert L. Walker, Maxwell T. Laws, H. Jeffrey Kim, Christopher Zalewski, Ashok Asthagiri, Sruthi Ranganathan, Christina Hayes, John D. Heiss, John A. Butman, Prashant Chittiboina

Department of Radiation Oncology Faculty Papers

BACKGROUND AND OBJECTIVES: The onset of hearing loss due to vestibular schwannomas (VS) is inevitable but does not correlate with the size of the tumor. In patients with Neurofibromatosis Type 2 (NF2) and VS, we previously found an association between pre-contrast fluid-attenuated inversion recovery magnetic resonance imaging (FLAIR MRI) signal in the labyrinth and hearing loss. Here, we asked whether FLAIR hyper-intensity could serve as a predictive biomarker for hearing loss in NF2 patients with VS.

METHODS: A prospective longitudinal study (NCT00598351) of NF2 enrolled 168 subjects between 2008 and 2013. This study included 34 patients with small VS (total …

Simulation Training In Radiation Oncology, Michael C. Schell, Andrew W. Beavis, Derek W. Brown, Michael Milano, Michael O'Neill, Yan Yu, Daniel C. Pavord, Peter Dunscombe

Department of Radiation Oncology Faculty Papers

Simulation training can be used in the design of new processes or, more commonly, to train and re-train healthcare personnel in standard processes. Simulation training is one avenue to making radiation oncology a high reliability health care intervention. In this paper, we explore the relevance of simulation training to the provision of high-quality and safe radiation oncology practice against the background of simulation training conducted in high reliability industries. The use of simulation training in healthcare, as well as specific examples in radiation oncology, is reviewed. An outline of the steps for developing a simulation training program is provided. Simulation …

Clinical Test Cases For Commissioning, Qa, And Benchmarking Of Model-Based Dose Calculation Algorithms In 1⁹2ir Hdr Gynecologic Tandem And Ring Brachytherapy, Vasiliki Peppa, Maude Robitaille, Fatemeh Akbari, Shirin Enger, Rowan Thomson, Firas Mourtada, Gabriel Fonseca

Department of Radiation Oncology Faculty Papers

PURPOSE: To develop clinically relevant test cases for commissioning Model-Based Dose Calculation Algorithms (MBDCAs) for ¹⁹²Ir High Dose Rate (HDR) gynecologic brachytherapy following the workflow proposed by the TG-186 report and the WGDCAB report 372.

ACQUISITION AND VALIDATION METHODS: Two cervical cancer intracavitary HDR brachytherapy models were developed based on a real patient, using either uniformly structured regions or realistic segmentation. The patient's computed tomography (CT) images were processed, converted to a series of digital imaging and communications in medicine (DICOM) CT images, and imported into two treatment planning systems (TPSs), the Oncentra Brachy and BrachyVision. The original segmentation …

Urgent Radiotherapy For Superior Vena Cava Syndrome In Metastatic Non-Small Cell Lung Cancer: A Case Report, Arpeet Patel, Nilanjan Haldar, Ida Micaily, Michael Greenberg, Evan Nardone, John A. Lippert, Christopher Fundakowski, Adam C. Mueller

Department of Radiation Oncology Faculty Papers

Superior vena cava (SVC) syndrome is a life-threatening complication of thoracic malignancies, requiring rapid management in the setting of airway compromise or hemodynamic instability. We present a 59-year-old male with metastatic non-small cell lung cancer (NSCLC) who developed superior vena cava syndrome (SVCS) due to compression from a large mediastinal mass identified as metastatic lung adenocarcinoma. His declining respiratory status progressed rapidly, necessitating intensive care. After extensive multidisciplinary collaboration, the patient was determined fit for inpatient radiation therapy and 10 fractions of 300 cGy external beam radiotherapy to the obstructing lesion was planned. However, the patient was unable to lay …

Integrating Spot-Scanning Proton Arc Therapy With Functional Avoidance Strategies To Reduce Pulmonary Toxicity, Yingxuan Chen, Peilin Liu, Xiaoda Cong, Edward Castillo, Richard Castillo, Inga Grills, Craig Stevens, Xiangkun Xu, Xiaoqiang Li, Yevgeniy Vinogradskiy, Xuanfeng Ding

Department of Radiation Oncology Faculty Papers

Background and purpose: Functional avoidance radiotherapy has emerged as a promising technique using functional imaging to minimize pulmonary toxicity by reducing doses to functional lung. This study aims to investigate the potential dose-volume advantages of a novel spot-scanning proton arc (SPArc) therapy for functional avoidance radiotherapy with four-dimensional computed tomography (4DCT)-based ventilation imaging.

Material and methods: Twenty-five patients from a prospective functional avoidance clinical trial treated with intensity-modulated photon radiotherapy were included. Robustly optimized intensity modulated proton therapy (IMPT) and SPArc plans were generated in RayStation. Functional lung contour was derived from the 4DCT-based ventilation imaging and utilized as an …

A Feasibility Study Of Sexual Organ-Dose Sparing Volumetric Modulated Arc Therapy In Female Low Rectal Cancer Patients Treated With Three-Dimensional Conformal Radiation Therapy, Margaret Downes, Victoria Olsen, Andre Williams, Rendi Sheu, Maria Thor, Lucy Greenwald, Vishruta Dumane, Kristin Hsieh, Ayesha Ali, Orly Morgan, Michael Buckstein, Deborah Marshall

Department of Radiation Oncology Faculty Papers

BACKGROUND: Sexual dysfunction is a significant toxicity of pelvic radiation therapy (RT) for female rectal cancer patients and may be more common with intensity-modulated techniques compared to three-dimensional conformal radiation therapy (3D-CRT). However, limited research has evaluated dose sparing of female sexual organs at risk (OARs), particularly erectile tissues that are critical for sexual function.

PURPOSE: This feasibility study aimed to demonstrate the practicality of contouring and sparing female sexual OARs in rectal cancer RT by generating sexual organ-sparing volumetric modulated arc therapy (SO-VMAT) plans from a small 3D-CRT cohort and comparing dose distributions to guide future planning.

METHODS: Nine …

Detection Of Phase-Binning And Interpolation Artifacts In 4-Dimensional Computed Tomography Imaging Using Deep Learning And Rule-Based Approaches, Jorge Cisneros, Nathan H. Feldt, Yevgeniy Vinogradskiy, Richard Castillo, Edward Castillo

Department of Radiation Oncology Faculty Papers

BACKGROUND: Four-dimensional computed tomography (4DCT) imaging is a crucial component to lung cancer radiotherapy planning and enables CT-ventilation-based functional avoidance planning to mitigate radiation toxicity. However, 4DCT scans are frequently impaired by acquisition artifacts that corrupt downstream analyses that depend on lung segmentation and deformable image registration, such as CT-ventilation and dose accumulation.

PURPOSE: This study develops 3D deep learning models to identify phase-binning artifacts at the voxel level and a heuristic, rule-based method to identify interpolation slices within 4DCT images.

METHODS: We introduce a generator that systematically inserts synthetic phase-binning and interpolation artifacts into any artifact-free breathing phase obtained …

Enhancing Cyberattack Resiliency Through The Radiotherapy Backup And Recovery Dashboard Tool, Justin Pijanowski, Eric Nguyen, Yasin Abdulkadir, Justin Hink, Yevgeniy Vinogradskiy, James Lamb

Department of Radiation Oncology Faculty Papers

PURPOSE: Radiation Oncology departments impacted by recent cyberattacks were unable to access data backups or their Record and Verify (R&V) system and therefore faced challenges to resume patient treatments in a timely manner. We present a novel software tool that backs-up critical radiotherapy treatment information and displays essential information for on-treatment patients in an intuitive and accessible dashboard allowing clinics to continue radiotherapy treatments. The purpose of this report is to describe implementation details, challenges, and share open-source code to facilitate radiation oncology clinics' efforts to develop tools to improve cyberattack resiliency.

METHODS: The Radiotherapy Backup and Recovery Dashboard Tool …

Evaluation Of Image Quality In Mobile Cone-Beam Ct With Dose Modulation Using Automatic Exposure Control: A Phantom Study, Keita Okazaki, Wenchao Cao, Reza Taleei, Firas Mourtada, Jun Li, Karen Mooney, Pramila Rani Anne, Yingxuan Chen

Department of Radiation Oncology Faculty Papers

BACKGROUND: The integration of mobile cone-beam computed tomography (CBCT) into brachytherapy workflows offers clinical advantages such as immediate verification of applicator placement and adaptive treatment planning. These benefits require sufficient image quality to delineate applicators, target volumes, and organs at risk. A systematic evaluation of automatic exposure control (AEC) settings, radiation dose, and image quality is essential to ensure clinically acceptable imaging while minimizing patient exposure.

PURPOSE: This study evaluates the characteristics of AEC and its impact on image quality and radiation dose in a mobile CBCT system used for brachytherapy.

METHODS: The Elekta ImagingRing CBCT system was used to …

Development And Validation Of An Ai-Based Lung Lobe Auto-Contouring Tool Using Radiation Therapy Planning Free-Breathing Images, Peter Ciaccio, Joseph Lombardo, Andrew Fuquay, Soroush Pahlavian, Rachel Grimm, Jun Kang, Wookjin Choi, Paul Sullivan, Yevgeniy Vinogradskiy

Department of Radiation Oncology Faculty Papers

BACKGROUND: Pulmonary toxicity can occur during radiation therapy of the lungs. Dose metrics evaluated at the lobar level can improve the ability to predict toxicity. Contouring lung lobes is challenging and time consuming. Currently there are limited dosimetry studies evaluating the dose to lung lobes. The purpose of this work was to develop and validate an artificial intelligence (AI) lung lobe auto-contouring algorithm using radiation therapy planning images.

MATERIALS AND METHODS: Fifty lung cancer patients from two institutions were analyzed, and a clinician contoured all five lung lobes [left upper lobe (LUL), left lower lobe (LLL), right upper lobe (RUL), …

Radiation Induced Vaporization Of Exoskeletal Droplets As Potential X-Ray Acoustic Contrast Agents, Mohamed E. Eldib, William N. Frantz, Mark A. Borden, Ryan Lanning, Moyed Miften, David H. Thomas

Department of Radiation Oncology Faculty Papers

BACKGROUND: In vivo dosimetry is a crucial component of ensuring accurate and safe radiation therapy (RT) delivery, but many existing techniques face challenges such as low signal-to-noise ratio (SNR), which can limit their clinical applicability.

PURPOSE: In this study, we investigate a novel contrast agent sensitive to megavoltage (MV) radiation in vitro, ultimately aiming for in vivo dosimetry.

METHODS: Vaporizable exoskeletal droplets were engineered to phase-change into ultrasound-responsive microbubbles upon exposure to MV photon radiation. These droplets comprised a hydrocarbon (HC) exoskeleton doped with gold nanoparticles (GNPs) surrounding a liquid fluorocarbon (FC) core. Radiation absorbed by the GNPs induced localized …

Investigating The Necessity Of Adaptive Radiotherapy In Tomotherapy Of Head And Neck Cancer Patients, Ali Chaparian, Mahsa Kianinia, Mahnaz Roayaei, Nadia Najafizade, Abolfazl Kanani, Leili Mahani, Hamidreza Nourzadeh

Department of Radiation Oncology Faculty Papers

BACKGROUND: Anatomical variations that occur during radiation therapy in head and neck cancer (HNC) patients can lead to significant dosimetric changes. The purpose of this study is to evaluate dosimetric and volume changes in key anatomical structures for different treatment sites in HNC patients, and to determine the percentage of patients who need adaptive radiotherapy (ART) per treatment site.

METHODS: A total of 1,740 megavoltage computed tomography (MVCT) images from 58 HNC patients treated with helical tomotherapy (HT) were exported to the PreciseART™ (Accuray) software. Volume changes in the planning target volume (PTV) and the organs at risk (OARs) in …

Cone Beam Ct Dose Optimisation: A Review And Expert Consensus By The 2022 Estro Physics Workshop Igrt Working Group, Lydia J. Wilson, Andria Hadjipanteli, Daniella E. Østergaard, Evelien Bogaert, Kirstie F. Brown, Rianne Dejong, James Earley, Magali Edouard, Marina Khan, Josh Lindsay, Jessica Van Der Himst, George X. Ding, Tim Wood, Marianne C. Aznar, Nuria Jornet, Georgios Ntentas

Department of Radiation Oncology Faculty Papers

Image guided radiotherapy (IGRT) using kilovoltage cone-beam CT (CBCT) has become an indispensable tool to ensure the geometric accuracy of radiotherapy treatment delivery. Although significant technical advances have been made in reducing imaging dose, the repeated imaging procedures can still accumulate significant dose to healthy tissues. Despite the widespread use, we still lack clear guidance for optimisation and widely accepted frameworks for evaluating the quality and suitability of CBCT imaging protocols. To address this gap, the 2022 European Society for Radiotherapy and Oncology (ESTRO) Physics Workshop focused on image-quality and imaging-dose optimisation for IGRT using CBCT. This publication represents a …

A Semiclassical Model Of The Immediate Temperature Distribution Surrounding The Track Of Heavy Ions With Therapeutic Energies, Martin Rädler, Niayesh Afshordi, Reza Taleei, Katia Parodi, Ramin Abolfath, Julie Lascaud

Department of Radiation Oncology Faculty Papers

Objective. Spikes of high temperature and pressure are created in the vicinity of heavy ions, especially at the Bragg peak. The expected subsequent thermoacoustic effects are however not well understood. In particular, the distribution of the densely packed primary interactions has not been considered in molecular dynamics (MDs) simulations or shock wave solutions. In this work, we derive a dedicated model to describe the primary interactions and their radial distribution, applicable to the modeling of acoustic and thermodynamic effects at the nanoscale. Approach. Starting from first principles, we assemble a semiclassical model of the energy loss of the primary heavy …

Decoding Resistance To Immune Checkpoint Inhibitors In Non-Small Cell Lung Cancer: A Comprehensive Analysis Of Plasma Proteomics And Therapeutic Implications, Michal Harel, Nili Dahan, Coren Lahav, Eyal Jacob, Yehonatan Elon, Igor Puzanov, Ronan J. Kelly, Yuval Shaked, Raya Leibowitz, David P. Carbone, David R. Gandara, Adam P. Dicker

Department of Radiation Oncology Faculty Papers

BACKGROUND: Immune checkpoint inhibitors (ICIs) have shown substantial benefit for patients with advanced non-small cell lung cancer (NSCLC). However, resistance to ICIs remains a major clinical challenge. Here, we perform a comprehensive bioinformatic analysis of plasma proteomic profiles to explore the underlying biology of treatment resistance in NSCLC.

METHODS: The analysis was performed on 388 "resistance-associated proteins" (RAPs) that were previously described as pretreatment plasma proteomic predictors within the PROphet computational model designed to predict ICI clinical benefit in NSCLC. Putative tissue origins of the RAPs were explored using publicly available datasets. Enrichment analyses were performed to investigate RAP-related biological …

Primary Central Nervous System Lymphoma: Predictors Of Response To Induction Therapy And Patterns Of Progression, Louis Cappelli, Allison Kayne, Jennifer Newman, Ahmed Elguindy, Narendranath Epperla, Joshua D. Palmer, Ubaldo E. Martinez-Outshoorn, Pierluigi Porcu, Wenyin Shi, Iyad Alnahhas

Department of Radiation Oncology Faculty Papers

BACKGROUND: Primary central nervous system lymphoma (PCNSL) is a rare and aggressive variant of non-Hodgkin lymphoma. While PCNSL is often sensitive to induction high-dose methotrexate (HDMTX) based chemotherapy, recurrence rates remain high, approaching 50% within 5 years. The most common molecular alterations in PCNSL include mutations in MYD88 and CD79 and CDKN2A homozygous deletion. There are no predictive or prognostic molecular markers in PCNSL.

METHODS: We conducted a retrospective review of 40 patients with PCNSL treated at Thomas Jefferson University and Ohio State University between 2011 and 2023. We created a clinically annotated database of patient characteristics and outcomes. For …

3d-Printed Organ-Realistic Phantoms To Verify Quantitative Spect/Ct Accuracy For 177lu-Psma-617 Treatment Planning, Lydia J. Wilson, Sara Belko, Eric L. Gingold, Shuying Wan, Rachel Monane, Robert S. Pugliese, Firas Mourtada

Department of Radiation Oncology Faculty Papers

Background/Objectives: Accurate patient-specific dosimetry is essential for optimizing radiopharmaceutical therapy (RPT), but current tools lack validation in clinically realistic conditions. This work aimed to develop a workflow for designing and fabricating patient-derived, organ-realistic RPT phantoms and evaluate their feasibility for commissioning patient-specific RPT radioactivity quantification. Methods: We used computed tomographic (CT) and magnetic resonance (MR) imaging of representative patients, computer-aided design, and in-house 3D printing technology to design and fabricate anthropomorphic kidney and parotid phantoms with realistic organ spacing, anatomically correct orientation, and surrounding tissue heterogeneities. We evaluated the fabrication process via geometric verification (i.e., volume comparisons) and leak testing …

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 …