Digital Commons Network^™

Giant Solitary Fibrous Tumor Causing Cephalad Shift Of Left Lung In A Young Patient, Akriti Arora, Dmitri Zbarsky

South Atlantic Division GME Research Days 2026

No abstract provided.

Interpersonal Violent Blunt Head Trauma As A Cause Of Acute Ischemic Stroke: A Case Report, Gabriella A. Rivas, Sirin Khajaviyan, Sahil N. Parikh, Dmitri Zbarsky

South Atlantic Division GME Research Days 2026

No abstract provided.

A Qi Project: Fostering Methods Of Communication To Promote Hospital Discharge Follow-Up Rate And Access To Primary Care, Radhika Mohan, Sanket Patel, Deepa Nuthalapati, Michael Smith, Valerie Sinkler, Dennis Besong, Pooja Paunikar

South Atlantic Division GME Research Days 2026

No abstract provided.

Beyond The Lungs: Acute Hepatitis Associated With Mycoplasma Pneumonia Infection, Rajiv N. Shah, Brett Leer-Greenberg

South Atlantic Division GME Research Days 2026

No abstract provided.

Gastroparesis – An Often-Overlooked Sign Of Multiple Sclerosis, Breveenn Kukan, Kaylee Brown, Minh Chung, Steven Veselsky, Joshua Ferrell

South Atlantic Division GME Research Day 2025

No abstract provided.

Proceeding Of The 31st Annual Orthopaedic Symposium June 19, 2026, David Komatsu

Stony Brook Orthopaedic and Musculoskeletal Journal

Proceeding of the 31st Annual

Orthopaedic Symposium

June 19, 2026

Reply To: Malik Mmud On Early And Sustained Improvements In Sense Of Smell With Tezepelumab Treatment In Patients With Chronic Rhinosinusitis With Nasal Polyps (Waypoint), Joaquim Mullol, Joseph K. Han, Tanya M. Laidlaw, Claire Hopkins, Anju T. Peters, Oliver Pfaar, Martin Desrosiers, Stella E. Lee, Andrew P. Lane, Claudia Chen, Yun Chon

Department of Otolaryngology (ENT) Faculty Publications

[Introduction] To the Editor:

We thank Professor MMUD Malik [1] for his interest in our recent publication describing the improvements in loss of smell symptoms with tezepelumab versus placebo in patients with uncontrolled chronic rhinosinusitis with nasal polyps in the WAYPOINT trial (NCT04851964) [2]. We appreciate Professor Malik's comments on the language used to describe the findings and the specific analyses presented as well as his note regarding the consistent improvements in sense of smell observed with tezepelumab treatment versus placebo, demonstrated by large effect sizes across three instruments.

Stability Of Salivary Microrna Measures Across An Ncaa Division I Football Season: Implications For Microrna As A Biomarker Of Concussion, Thomas R. Campbell, Martina Zamponi, Delaney Leathers, Julie Cavallario, Jessica C. Martinez, Peter A. Mollica

Rehabilitation Sciences Faculty Publications

Background

Clinicians often face challenges in concussion care due to a heavy reliance on subjective patient input. Recently, research has sought objective biomarkers, like salivary microRNAs, to improve concussion management. However, significant limitations hinder the use of microRNAs as a diagnostic tool, including the cumulative effects of a contact sport season. A better understanding of the response to a contact sport season would help researchers and clinicians interpret expression changes at the time of injury in the context of seasonal variation. in Therefore, this study investigated the reliability of previously identified salivary microRNA targets across one contact sport season.

Methods …

Multimodal Machine Learning For Alzheimer's Disease Classification Using Adni Biomarker Fusion, Hesameddin Mostaghimi, Hamid R. Okhravi, Bahar Niknejad, Daniel A. Cohen, Michel A. Audette, Alzheimer's Disease Neuroimaging Initiative

Electrical & Computer Engineering Faculty Publications

Despite ongoing advances, accurate diagnosis of Alzheimer’s disease (AD) remains challenging due to its multifactorial nature, comorbidities, and clinical heterogeneity. Accordingly, approaches that combine multimodal data may improve AD classification by integrating complementary information. To investigate this, we evaluated classification performance using a preprocessed ADNI-3 dataset comprising a shared set of clinical/cognitive features along with four imaging modality-based cohorts: trimodal (MRI + amyloid PET + tau PET), MRI + amyloid PET, MRI + tau PET, and MRI-only. We trained a range of supervised machine learning (ML) and deep learning (DL) classifiers using stratified five-fold cross-validation and evaluated performance using accuracy, …

The Effects Of Measurement Errors On Minimum Ablative Margins After Thermal Ablation Of Liver Tumors: A Simulation Study, Iwan Paolucci, Jessica Albuquerque, Noreen S Siddiqi, A Kyle Jones, Kristy K Brock, Bruno C Odisio

Faculty, Staff and Student Publications

Purpose: To develop a mathematical framework to estimate the in silico A0 threshold based on the technical specifications of a specific ablation confirmation software package for thermal ablation of liver tumors that can then be used to identify the impact of different sources of error.

Methods: To estimate in silico A0 thresholds, we developed a simulation framework incorporating technical parameters and biological effects. Technical parameters were segmentation error, registration error, and slice thickness, and biological effects were tissue shrinkage and microscopic satellite lesions; these parameters and effects were all modeled using statistical distributions. For each permutation of parameters, a logistic …

Dosimetric Effect Of Abdominal Compression In Online Adaptive Planning For Abdominal Cancers Treated With A 15 Tesla Magnetic Resonance-Guided Linear Accelerator, Moghadaseh Khaleghibizaki, Angela Sobremonte, Luis Perles, Surendra Prajapati, Ergys Subashi, Yao Ding, Kristy Brock, Roya Barati, Eugene Koay, Chad Tang, Jinzhong Yang

Faculty, Staff and Student Publications

Compression belts (CBs) are sometimes used to reduce respiratory motion during stereotactic body radiotherapy of abdominal cancers with magnetic resonance (MR)-guided online adaptive planning. This study evaluated the dosimetric effects of overriding the relative electron density (ED) value of CBs in creating synthetic computed tomography (CT) scans for MR-guided adaptive planning. We evaluated plans for 12 patients with abdominal cancer and identified that ED values between 0.2 and 0.3 achieved the best approximation of CB ED in dose calculation. Our study presented an approach to estimate appropriate ED overrides for CBs in MR-guided online adaptive planning.

Association Between Three-Dimensional Margin Assessment And Local Tumor Control In Percutaneous Lung Cryoablation Of Colorectal Metastases, Frank Mohn, Koustav Pal, Caleb O'Connor, Iwan Paolucci, Austin Castelo, Kamran Ahrar, Steven Yevich, Joshua D Kuban, Bruno C Odisio, Alda Lui Tam, Rahul A Sheth, Kristy K Brock

Faculty, Staff and Student Publications

Purpose

To evaluate the association of two minimum ablation margin (MAM) estimation methods: manual three-dimensional segmentation and biomechanical deformable image registration (DIR) with local tumor progression-free survival (LTPFS) after percutaneous lung cryoablation of colorectal pulmonary metastases.

Materials and Methods

This retrospective single-institution study included patients who underwent percutaneous lung cryoablation between May 2012 and March 2023 (median follow-up, 3.6 years; range, 0.8–9.6 years). Manual three-dimensional MAM was calculated for all tumors, and DIR-based MAM was estimated in a subset with intraprocedural full-thorax imaging. Cox proportional hazards regression assessed associations between MAM and LTPFS. The primary outcome was 2-year LTPFS, with …

Ai-Powered Immune Cell Knowledge Graph (Ickg) With Granular Immune Contexts Enables Immune Program Interpretation, Shan He, Yukun Tan, Qing Ye, Matthew M Gubin, Merve Dede, Hind Rafei, Weiyi Peng, Katayoun Rezvani, Vakul Mohanty, Ken Chen

Faculty, Staff and Student Publications

The widespread application of single-cell and spatial omics to models and patient samples has transformed immune cell profiling across physiological conditions. However, knowledge of immune cell states, functions, and gene regulation remains fragmented across publications, limiting our ability to synthesize insights and derive mechanistic understanding from the literature. To address this gap and facilitate literature integration, we constructed Immune Cell Knowledge Graphs (ICKGs)-four cell type-specific graphs derived from over 24,000 cancer immunotherapy-focused PubMed abstracts using large language models (LLMs) with "human verifiable" validation. Unlike conventional databases, which provide context-agnostic pathways, ICKGs capture directed, literature-supported relationships among genes, pathways and immune …

Outcomes Of Patients With Melanoma Brain Metastases Treated With Ipilimumab And Nivolumab With Or Without Upfront Comprehensive Stereotactic Radiosurgery, Troy J Kleber, Denái R Milton, Subhiksha Srinivasan, Bikash Panthi, Warren Floyd, Eric A Goethe, Michael A Davies, Hussein A Tawbi, Isabella C Glitza Oliva, Diana Kaya, Jing Li, Todd A Swanson, Subha Perni, Martin C Tom, Chenyang Wang, Sujit Prabhu, Jeffrey S Weinberg, Ian E Mccutcheon, Caroline Chung, Sherise D Ferguson, Thomas H Beckham

Faculty, Staff and Student Publications

Background: The efficacy of ipilimumab and nivolumab (ipi/nivo) for melanoma brain metastases (MBMs) has been previously reported, leading to uncertainty regarding the optimal role of comprehensive stereotactic radiosurgery (cSRS). We therefore conducted a single-institution retrospective study to compare outcomes of upfront versus deferred cSRS for MBM treated with ipi/nivo.

Methods: We identified patients who started ipi/nivo for newly diagnosed MBMs between 2018 and 2023, with or without upfront cSRS. Patients with >15 MBMs, leptomeningeal disease, or whole-brain radiotherapy at baseline were excluded. Outcomes were compared using multivariable regression and reported as adjusted hazard ratios (aHRs) with 95% CIs.

Results: Of …

Reply To: Late Nonrelapse Mortality: A Hidden Risk In Triplet Therapy For Idh-Mutated Aml?, Jennifer Marvin-Peek, Courtney D Dinardo

Faculty, Staff and Student Publications

No abstract provided.

Perspective: Radiotherapy And Body Composition: Unmet Needs In Low- And Middle-Income Countries, Alexia J Murphy-Alford, Aaron J Grossberg, Vickie E Baracos, Maha Barbar, Judy Bauer, Jonathan P Bennett, Elena Fidarova, Clifton D Fuller, Anastassia Löser, Amy C Moreno, Anurima Patra, Deepa Puttaswamy, David I Rosenthal, Judy Schoeman, Yavuz Anacak

Faculty, Staff and Student Publications

Radiotherapy plays a vital role in cancer treatment, yet its effects on patients' nutritional status can precipitate muscle loss, with significant implications for treatment tolerance and outcomes. Evidence from high-income countries increasingly links radiation-induced muscle loss to adverse clinical outcomes. In contrast, low- and middle-income countries face a stark evidence gap, despite the heightened vulnerability of cancer patients in these settings due to delayed diagnosis, limited access to care, and high rates of co-morbidities. This paper highlights the critical gaps in nutritional care for radiotherapy patients in low- and middle-income countries.

Metastasis-Directed Radiotherapy For Oligometastatic Urothelial Carcinoma Of The Bladder And Upper Tract, Patrick Carriere, Omar Alhalabi, Jianjun Gao, Amishi Shah, Sangeeta Goswami, Matthew Campbell, Ruitao Lin, Lauren Mayo, Osama Mohamad, Karen Hoffman, Henry Mok, Charmaigne Lozano, Ashish Kamat, Neema Navai, Kelly Bree, Byron Lee, Charles Guo, Michael Rooney, Chad Tang, Seungtaek Choi, Comron Hassanzadeh

Faculty, Staff and Student Publications

Background: Metastasis-directed therapy (MDT) for oligometastatic cancer is utilized for genitourinary malignancies including prostate and kidney cancers. Clinical research on MDT for urothelial carcinoma (UC) remains sparse, especially as systemic therapy advances have improved outcomes.

Objective: We investigated the role of MDT, specifically radiotherapy, for patients with oligometastatic bladder or upper-tract UC.

Methods: Data were collated on patients with metastatic UC with 5 or fewer metastatic sites undergoing MDT with ablative radiotherapy with or without preceding systemic therapy during January 2016 to July 2024. Endpoints were progression-free survival (PFS), and overall survival (OS). Cox proportional hazards analysis was conducted to …

Functional, Pharmacogenomic, And Immune Landscapes Of Long Non-Coding Rnas In Cancer, Runhao Wang, Mei Luo, Yuan Liu, Jingwen Yang, Yamei Chen, Chengxuan Chen, Lifei Ma, Stephanie Ding, James Wengler, Yong Zang, Bora Lim, Wenbo Li, Liuqing Yang, Chunru Lin, Lixia Diao, Leng Han

Faculty, Staff and Student Publications

Long non-coding RNAs (lncRNAs) are emerging as key regulators in cancer, with significant potential as diagnostic, prognostic, and therapeutic targets. Here, this work systematically analyzes lncRNA associations with targeted therapies and immunotherapies across 33 cancer types using The Cancer Genome Atlas (TCGA) and real-world datasets. This work identifies 53,173 lncRNA-pathway associations, millions of lncRNA-drug response associations (via CancerRxTissue and VAEN), and extensive correlations with immune checkpoints and infiltration. This work further identifies 69 lncRNAs associated with immunotherapy response and 2,611 differentially expressed lncRNAs between low and high objective response rate (ORR) groups. Additionally, two lncRNAs are correlated with immune-related adverse …

Bop2-Comb: Bayesian Optimal Phase Ii Design For Optimizing Doses And Assessing Contribution Of Components In Drug Combinations, Xiaohan Chi, Ying Yuan, Ruitao Lin

Faculty, Staff and Student Publications

Background: Personalized cancer treatment using combination therapies offers substantial therapeutic benefits over single-agent treatments in most cancers. However, unmet clinical needs and increasing market competition pressure drug developers to quickly optimize combination doses and clearly demonstrate the contribution of each component when developing and evaluating new combination treatments.

Methods: We propose a Bayesian optimal phase II drug-combination (BOP2-Comb) design that optimizes the combination dose and evaluates the proof-of-concept as well as the contribution of each component in two seamless stages. Our optimal calibration scheme minimizes the total trial sample size while controlling incorrect decision rates at nominal levels. This calibration …

Peripheral Cd200r Signaling: A Critical Regulator Of Post-Stroke Inflammation In Aged Mice, Conelius Ngwa, Afzal Misrani, Yan Xu, Jingjing Wang, Rodney Ritzel, Fudong Liu

Faculty, Staff and Student Publications

The immune responses to ischemic stroke are subjected to endogenous inhibitory pathways that delimitate the post-stroke inflammation. Among them, the interaction between CD200 and its receptor (CD200R) is increasingly recognized for its role in regulating neuroinflammation across various central nervous system (CNS) disorders. In the present study, we have examined the role of central (brain) vs. peripheral CD200R signaling in acute ischemic stroke using aged bone marrow chimeric (BMC) mice (16-19 months old). These chimeras were generated by transplanting bone marrow from CD200R knockout (KO), green fluorescent protein (GFP), or wild-type (WT) donor mice into irradiated recipient mice, and then …

The Legacy Of A Gentleman Scientist: Pierre Hainaut, Christophe Arnoult, Laura D Attardi, Kerem Batsheva, Giovanni Blandino, Kathleen H Burns, Giannino Del Sal, David G Kirsch, David P Lane, Arnold J Levine, Guillermina Lozano, David Malkin, Gerry Melino, Moshe Oren, Carol Prives, Daniel Schramek

Faculty, Staff and Student Publications

No abstract provided.

Contemporary Opportunities And Potential Of Auger Electron-Emitting Theranostics, Seok-Yong Lee, H Charles Manning

Faculty, Staff and Student Publications

Recent breakthroughs in radiopharmaceutical (RP) therapy have emerged interest in employing Auger electron (AE)-emitting radionuclides as potential agents for precise theranostics. AE provides energy with exceptional localization due to their short tissue penetration range (TPR, < 10 nm), rendering them particularly effective for targeting nuclear DNA in tumor cells. In this context, AE-emitting radionuclide therapy (AE-emitting RLT) enables the targeted destruction of tumor cells while reducing harm to adjacent healthy tissue, a significant challenge in this field. Preclinical and early clinical investigations reveal the efficacy of AE-emitting RLTs in the theranostics of diverse malignancies, such as glioblastoma, prostate cancer, and neuroendocrine tumors. Notwithstanding these developments, challenges and limitations persist regarding dosimetry, delivery efficiency, and the treatment of radiotoxicity. A new paradigm is being developed to tackle the obstacles encountered by integrating molecular target markers (e.g., PARP) that function near the nucleus to improve the intranuclear delivery efficiency of AE-emitting radionuclides. Novel radiochemical methods such as these have facilitated the more stable and efficient labeling of biomolecules with AE-emitting radionuclides. Also, recent advances in DNA-molecular targeting, nanoparticles, nucleic acid/protein engineering, click- or bioorthogonal conjugation chemistry, and artificial intelligence (AI)-based structure modeling present concrete opportunities to overcome these limitations. Moreover, the integration of diagnostic imaging companion platforms employing theranostic radioisotope pairings facilitates real-time assessment of therapeutic efficacy and biodistribution, resulting in the formulation of enhanced treatment regimens. This review summarizes the prior development, recent advancements, barriers in clinical implementation, and future perspective of AE-emitting RLTs.

Nsd2 Inhibitors Rewire Chromatin To Treat Lung And Pancreatic Cancers, Jinho Jeong, Simone Hausmann, Hanyang Dong, Kacper Szczepski, Natasha M Flores, Andy Garcia Gonzalez, Liyang Shi, Xiaoyin Lu, Joanna Lempiäinen, Moritz Jakab, Liyong Zeng, Tourkian Chasan, Eric Bareke, Rui Dong, Emma Carlson, Reinnier Padilla, Dylan Husmann, Julia Thompson, Gerry A Shipman, Emily Zahn, Courtney A Barnes, Laiba F Khan, Liz Marie Albertorio-Sáez, Eva Brill, Vishnu Udayakumar Sunita Kumary, Matthew R Marunde, Danielle N Maryanski, Cheryl C Szany, Bryan J Venters, Carolina Lin Windham, Michal Eligiusz Nowakowski, Iwona Czaban, Mariusz Jaremko, Michael-Christopher Keogh, Kang Le, Michael J Soth, Benjamin A Garcia, Łukasz Jaremko, Jacek Majewski, Pawel K Mazur, Or Gozani

Faculty, Staff and Student Publications

NSD2 catalyses the epigenetic modification H3K36me2 (refs. 1,2) and is a candidate convergent downstream effector of oncogenic signalling in diverse malignancies3–5. However, it remains unclear whether the enzymatic activity of NSD2 is therapeutically targetable. Here we characterize a series of clinical-grade small-molecule catalytic NSD2 inhibitors (NSD2i) and show that the pharmacological targeting of NSD2 constitutes an epigenetic dependency with broad therapeutic efficacy in KRAS-driven preclinical cancer models. NSD2i inhibits NSD2 with single-digit nanomolar half-maximal inhibitory concentration potency and high selectivity over related methyltransferases. Structural analyses reveal that the specificity of NSD2i for NSD2 …

Respiratory Motion Effects And Plan Robustness For Lattice Radiation Therapy, Rachael M Martin-Paulpeter, Peter A Balter, Luis A Perles, Ethan B Ludmir, Joshua S Niedzielski

Faculty, Staff and Student Publications

Introduction: Lattice radiation therapy (LRT), a form of spatially fractionated radiation therapy (SFRT), has shown promise in treating bulky tumors. It consists of hot and cold spots within the tumor, and the ratio between these doses is thought to be important in clinical outcomes. Respiratory motion is expected to degrade these peak-to-valley dose ratios (PVDRs) but has largely been ignored in LRT literature and clinical practice. This work aims to quantify the response of LRT dose distributions to motion to better inform motion management decisions and improve clinical outcomes.

Methods: Respiratory motion of peak-to-peak amplitudes from 0.3 to 2 cm …

Freeze-Dried, Not Frozen: Lyophilized Mesenchymal Stromal Cell-Derived Extracellular Vesicles And Therapeutic Function In Neuroinflammatory Models, Janet R Ashley, Aidan M Collier, Scott D Olson, Charles S Cox

Faculty, Staff and Student Publications

Background: Mesenchymal stromal cell (MSC)-derived extracellular vesicles (EVs) offer a promising acellular therapy for immune modulation, but clinical translation is hindered by variability and storage constraints. Lyophilization (freeze-drying) could enable shelf-stable EV therapeutics, although its effects on biological activity remain incompletely defined.

Study design: We compared the immunomodulatory effects of frozen and lyophilized EVs from bone marrow (BM), adipose tissue (AD), and umbilical cord (UC) MSCs using lipopolysaccharide-stimulated rodent splenocytes and microglial models and human peripheral blood mononuclear cells (PBMCs). Variables included batch scale (small vs large), cytokine priming, and MSC source. Tumor necrosis factor alpha (TNF-α) secretion was measured …

Single-Cell Lineage Trajectory Defines Cyclin-Dependent Kinase Inhibitor-Sensitive Cells-Of-Origin In Esophageal Squamous Cell Carcinoma, Kyung-Pil Ko, Jie Zhang, Sohee Jun, Jae-Il Park

Faculty, Staff and Student Publications

Background and aims: Understanding the cells of origin is essential for overcoming therapy resistance and improving early intervention strategies in esophageal squamous cell carcinoma (ESCC). Despite recent advances in genomic profiling, the precise cellular hierarchies and molecular programs driving ESCC initiation remain poorly defined.

Methods: We utilized machine learning-based single-cell trajectory analysis on 4-nitroquinoline 1-oxide-induced murine models and genetically engineered organoids to identify cellular lineages during tumorigenesis. Combined with gene regulatory network analysis, we identified transcriptional drivers of tumor initiation and employed transcriptome-based drug repurposing to predict compounds targeting these initiating populations.

Results: Our analyses revealed multiple distinct epithelial clusters …

Key Regulatory Roles Of Prdm1 In Human Nk-Cell Differentiation And Activation, Xuxiang Liu, Yunfei Shi, Jibin Zhang, Kunal Shetty, Krystie Chew, Can Küçük, Qiang Gong, Esra Esmeray, Haiqing Li, Ru Chen, Sheng Pan, Katarzyna Dąbrowska, Roger E Moore, Krystine Garcia-Mansfield, Patrick Pirrotte, Jinhui Wang, Yuping Li, Gehong Dong, Logan Lee, Timothy W Mckeithan, Javeed Iqbal, Wing C Chan

Faculty, Staff and Student Publications

PRDM1, encoding a transcription factor (TF), regulates plasma cell and CD8+ T-cell terminal differentiation and Th2 lineage specification, while its role in human NK-cell differentiation and homeostasis is largely unknown. Here, we employed a multi-omics approach to dissect the transcriptional control of PRDM1 on human NK-cells. PRDM1 is important in NK-cell terminal differentiation based on gene expression profiling and its targeting of key regulators in the process. PRDM1-deleted NK-cells displayed a less mature phenotype simulating the CD56bright NK-cell population accompanied by upregulation of stem-like gene signatures. PRDM1-bound genes were enriched in T/NK-cell receptor signaling, activation, and NK-cell effector …

A Preliminary Investigation Of Research Collaboration Through Scientific Paper Co-Authorship In The Gulf Of Mexico, Juliet Vallejo, Evelyn Roozee, Dongkyu Kim, Andrew M Song, Christopher A Gabler, Jasper De Vries, Antonia Sohns, Gordon M Hickey, Owen Temby

Faculty, Staff and Student Publications

It is well known that publications with collaborators from external institutions increase citations. This effect scales with spatial distance. There are also many barriers to long-distance collaborations, including linguistic differences, funding constraints, and the incremental costs of remote collaboration. This paper uses the Gulf of Mexico as a case study to examine long-distance research collaboration because it consists of three countries with diverse development levels and two prominent diplomatic languages, within a singular regional ecosystem of tremendous natural and economic value. This paper uses bibliometric network analysis to examine scientific research article co-authorship in the Gulf of Mexico from 2000 …

Digital Communication Strategies For Culinary Medicine In Cancer Prevention And Survivorship: Information-Seeking Habits And Content Preferences Of Online Cooking Media Among Adults Participating In Four Cancer Prevention And Control Cohort Studies, Margaret Raber, Sara Fares, Maria Vazquez, Larkin Strong, Carrie Daniel-Macdougall, Lorna Mcneill, Karen Basen-Engquist

Faculty, Staff and Student Publications

Introduction

Poor diet and excess weight have been linked to increased risk for at least 13 types of cancer. Culinary medicine utilizes experiential cooking skill development to improve individuals’ capacity for healthy eating. Digital communication strategies offer pathways for scalable culinary medicine interventions, but little research has explored how online cooking tools could be leveraged for cancer prevention messaging. We conducted a cross-sectional survey study exploring online cooking information-seeking habits and content preferences among participants in four cancer prevention and control cohorts to inform future digital culinary medicine interventions.

Methods

A cross-sectional survey study was conducted with a convenience sample …

Interventional Oncology: A Primer For Clinicians On The Role Of Ablation And Embolization For Solid Tumors, Mohamed E Abdelsalam, Kamran Ahrar, Rahul A Sheth, Ketan Y Shah, Steven Yevich, Varshana Gurusamy, Bruno C Odisio, Alda L Tam, Armeen Mahvash, Peiman Habibollahi

Faculty, Staff and Student Publications

Interventional radiology (IR) is a rapidly evolving medical field that combines advanced imaging with minimally invasive techniques for both diagnosis and treatment. Interventional oncology (IO), a subspecialty of IR, focuses on the minimally invasive, image-guided intervention for cancer and cancer-related conditions. IR plays an important and increasingly recognized role within the multidisciplinary care of patients with cancer, contributing meaningfully to diagnosis, therapy, and palliation. IO therapies, particularly tumor ablation and transarterial embolization, aim to target tumors directly while preserving surrounding healthy tissue. These therapies are increasingly supported by clinical guidelines and have shown favorable outcomes in cancers such as hepatocellular …