Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons^™

Tumor Targeting With Peptide-Drug Conjugates: Showcasing Key Progress And Hurdles, Keykavous Parang, Thuy Do, Clare Dinh, Dorna Davanidavari, Max Foroughi, Troy Khong, Mahsa Moazen, Amir Nasrolahi Shirazi

Pharmacy Faculty Articles and Research

Peptide-drug conjugates (PDCs) are modular, targeted therapeutics composed of a homing peptide linked to a cytotoxic or modulating drug payload via a cleavable/non-cleavable linker. PDCs utilize peptide targeting to enhance the delivery of potent drugs to tumors, providing advantages such as superior tissue penetration, reduced immunogenicity, and simpler manufacture compared to antibody-drug conjugates (ADCs). A comparison of PDCs versus ADCs highlights that PDCs’ small size (~1-3 kDa) enables deeper tumor penetration and faster clearance, whereas ADCs (~150 kDa) benefit from prolonged circulation but suffer from limited tissue diffusion. This review surveys recent advances in PDC design and application. We discuss …

The Mycancergene Study: A Hybrid Type 1 Effectiveness-Implementation Randomized Study Comparing A Patient-Centered Digital Genetic Health Portal To Usual Care After Receipt Of Cancer Genetic Testing, Daniel Chavez-Yenter, Dominique Fetzer, Brian Egleston, Susan Domchek, Linda Fleisher, Lynne Wagner, Kuang-Yi Wen, Kelsey Karpink, Lauren Gutstein, Shelby Posen, Enida Selmani, Briana Mcleod, Arravinth Anantharajah, Sarah Brown, Cara Cacioppo, Jacqueline Cappadocia, Jessica Ebrahimzadeh, Dana Falcone, Sarah Howe, Claire Langer, Beth Mccarthy-Wood, Michelle Weinberg, Angela Bradbury

Department of Medical Oncology Faculty Papers

BACKGROUND: Genetic testing has become more complex with the transition from single gene testing to multi-gene panels and whole-exome sequencing. The adoption of more complex genetic testing and the promise of precision medicine has created a critical and urgent need for longitudinal clinical follow-up with patients who undergo cancer genetic testing given the residual uncertainty. There is an increasing need for multidisciplinary translational research that focuses on how to advance precision medicine discoveries into clinical practice and to capitalize on connectivity (e.g. digital health) interventions in ways that optimize cancer risk reducing behaviors in real-world clinical populations.

METHODS: The overall …

Discriminative Accuracy Of Cha2ds2-Vasc Score, And Development Of Predictive Accuracy Model Using Machine Learning For Ischemic Stroke Risk In Cardiac Amyloidosis And Atrial Fibrillation, Waqas Ullah, Abhinav Nair, Eric Warner, Salman Zahid, Mansoor Rahman, Palwasha Khan, Indranee Rajapreyar, Sridhara S. Yaddanapudi, M. Chadi Alraies, Said Ashraf, Jeffery Van Hook, Yegeny Brailovsky

Department of Medicine Faculty Papers

BACKGROUND: CHA2DS2-VASc score in cardiac amyloidosis (CA) with atrial fibrillation (AF) is believed to underestimate ischemic stroke risk, necessitating a better predictive model.

METHODS: Data were obtained from the National Readmission Database (NRD). Outcomes between CA-AF and no-CA-AF were compared using multivariate regression analysis to calculate adjusted odds ratios (aORs). AutoScore, an interpretable machine learning framework, was used to develop a stroke risk prediction model, and its predictive accuracy was evaluated with an area under the curve (AUC) using the receiver operating characteristic analysis.

RESULTS: A total of 11,860,804 (CA-AF 22,687 (0.19%) and no-CA-AF 11,838,117) patients were identified from 2015 …

Histodx: Revolutionizing Breast Cancer Diagnosis Through Advanced Imaging Techniques, Wishal Arshad, Tehreem Masood, H. M. Shahzad, Hassan A. Ahmed, Syed Hamza Ahmed, Hafiz Muhammad Tayyab Khushi

Business Faculty Publications

Breast cancer is the second leading cause of mortality among women worldwide, highlighting the need for efficient histopathology-based screening methods for early diagnosis. This study introduces HistoDX, a deep learning framework to classify Invasive Ductal Carcinoma (IDC) using 277,524 histopathology image patches (50x50 pixels) from Paul Mooney’s IDC dataset on Kaggle, comprising No Cancer and IDC(+) classes. HistoDX employs a preprocessing pipeline with normalization, data augmentation, and class balancing via oversampling and weighted loss to address the class imbalance. A customized convolutional neural network, built on EfficientNetV2-B3 with additional layers, achieves 97% accuracy and a 0.91 ROC-AUC score on the …

Investigating Pinch-1 In Glioblastoma Multiforme: A Potential Adjuvant Therapy Target To Improve Treatment Outcomes, Saikrishna Gaddam, Dianne Langford

Rowan-Virtua Research Day

Gliomas account for approximately 80% of all brain cancers and 30% of central nervous system tumors. Glioblastoma multiforme (GBM), the most common, is unfortunately, the most aggressive glioma cancer type. Despite treatment efforts such as surgery, radiation, and chemotherapy, nearly all low-grade astrocytoma progress to GBM without complete surgical resection. Achieving full surgical removal is typically impossible, leading to an almost 100% recurrence rate of GBM after 9 months with a median survival of approximately 15 months. This poor prognosis is due to its high invasiveness and resistance to therapy. Therefore, improved therapeutic approaches are needed to reduce recurrence and …

Developing A Small Molecule To Inhibit Hsf1 Expression In Cancer And Evaluating Natural Genetic Variation In Small Molecule Toxicity., Michaela Kendal Foley

Theses and Dissertations

Each year cancer affects nearly 20 million people worldwide and genetic differences across populations can impact cancer onset and progression. Specifically, tumors with high levels of HSF1, the master regulator of the cytoprotective heat shock response (HSR), are correlated with poor patient outcomes in multiple cancers such as prostate, breast, and melanoma. Subsequently, the development of pharmacological inhibitors of HSF1 represents a promising strategy for anticancer therapeutics. Using a luciferase-based transcriptional reporter, two small molecule libraries were screened for inhibitors of HSF1 expression in human embryonic kidney cells, yielding ten compounds that decrease HSF1 expression. To identify if cancer lines …

Editorial: Adverse And Toxic Effects Of Childhood Cancer Treatments, Volume Ii, Antonio Ruggiero, Roderick Skinner, Pinki Prasad

School of Medicine Faculty Publications

No abstract provided.

Validation Of The Distress Thermometer In A Mexican Population With Brain Tumors: A Diagnostic Accuracy Study, Dan Morgenstern-Kaplan, Sergio Moreno-Jiménez, Fernanda Páez-Plascencia, Angel Ruiz-Chow, Fabiola Flores-Vázquez

Archives of Neurosurgery

Objective: Mental health in cancer patients must be addressed. This study's main objective was to evaluate the sensitivity and specificity of the DT in a population of patients with brain tumors and determine the optimal cut-off point for the DT. Methods: We performed a cross-sectional study at the National Institute of Neurology and Neurosurgery in Mexico City, in a cohort of 110 patients. Results: Of the 108 participants with brain tumors that were included in the analysis (2 patients excluded by incomplete DT), 40 had gliomas, 31 had pituitary adenomas, 21 had meningiomas, and 16 had other types of tumors. …

Artificial Intelligence In Cancer-Related Malnutrition And Cachexia: A Transformative Tool In Clinical Nutrition, Salvatore Carbone

EVMS School of Health Professions Faculty Publications

[Introduction] Malnutrition and cachexia are common complications in cancer patients, and they negatively influence prognosis, treatment efficacy, and tolerability as well as quality of life [[1], [2], [3]]. Accurately identifying and effectively managing malnutrition and cachexia in this population remains a clinical challenge. Conventional validated screening tools may lack the sensitivity and specificity required for early detection and personalized intervention in diverse cancer types and treatment settings [4,5]. Over the last decade, the use of artificial intelligence (AI), including machine learning (ML) and deep learning (DL) strategies, has shown promising results in clinical nutrition, with the potential to revolutionize nutritional …

Exploring Familial Lymphoma And Chronic Lymphocytic Leukemia, Rhea Mahajan

Williams Honors College, Honors Research Projects

This project aims to investigate the familial incidence of lymphoma and Chronic Lymphocytic Leukemia (CLL) within the patient population at Gabrail Cancer Center (GCC). Using the Electronic Medical Record from the past ten years, patients with current or historical diagnoses of lymphoma or CLL will be identified and surveyed (along with using patient records, including consult notes, hospital notes, MD notes, etc.) to extract any family history of these cancers. The project will analyze clinical outcomes in these cases, and analyze whether there were multiple family members to have been affected by lymphoma or CLL (or other cancers), and see …

Multi-Level Factors Associated With Low Dose Computed Tomography Lung Cancer Screening In The United States, Tung Sung Tseng, Chien Ching Li, Hui Yi Lin, Kelsey N. Witmeier, Chaoyi Zeng, Yu Wen Chiu, Michael D. Celestin, Edward J. Trapido

School of Public Health Faculty Publications

Low-dose computed tomography (LDCT) screening is recommended for high-risk smokers to decrease lung cancer-related mortality and increase prognosis. In the U.S., the uptake of LDCT screening among eligible smokers is suboptimal. The impacts of social-environmental and individual factors on LDCT screening uptake using nationally representative dataset recommendations are understudied. The current study investigated multi-level factors associated with LDCT screening using national data. Methods: The 2017-2021 Behavioral Risk Factor Surveillance System (BRFSS) data, social determinants of health (SDOH) and other state-level variables (Medicaid expansion status and the number of screening facilities using American Lung Association (ALA) 's State of Lung Cancer) …

Pediatric Cancer Incidence, Temporal Trends, And Mortality In The United States By Health Disparities Indicators, Seer (1973-2014), Prachi P. Chavan, Laurens Holmes Jr.

Epidemiology, Biostatistics, & Environmental Health Faculty Publications

Background: Pediatric cancer incidence has been increasing in the United States, despite improvement in pediatric cancer survival. This steady increase in incidence trends is not completely understood but maybe associated with social and environmental factors. In this study we aimed to assess the cumulative incidence, temporal trends, and mortality rates in pediatric cancer. Additionally, we examined sub-group variability in both incidence and mortality rates. Methods: Data from Surveillance, Epidemiology, and End Results (SEER) −18 from 1973–2014 were used for the purpose of analysis in this study. Age-adjusted incidence rates were used to assess temporal trends in cancer among children aged < 1–19 years. Univariable and multivariable binomial regression models were used to examine the association between race and cancer mortality while adjusting for potential confounders. Results: There were 92,594 cancer diagnoses during this period. White children comprised 74,758, (80.7%), black children 10,030, (10.8%), and other races 6648, (7.2%). Overall the age-adjusted cumulative incidence was slightly higher among white children (16.4%) than black children (12.4%) and other (13.0%). Children aged 15–19 years and those in metropolitan regions were more likely to be diagnosed with pediatric cancer. Relative to females, males were 16% more likely to die from the disease [adjusted Risk Ratio (aRR): 1.16, 95% Confidence Interval (CI): 1.09–1.22]. Additionally, compared to white children, black children had higher mortality rates [(aRR): 1.37, 99% CI: 1.23–1.52]. Conclusions: There is an increasing trend in pediatric cancer incidence; while white children have the highest incidence, black children and males indicated a survival disadvantage, indicative of racial and sex variability in overall pediatric cancer in the United States.

Targeting Rna Polymerase I In Ewing Sarcoma Treatment, Alexis Bruce, Gavin Anchondo, Rebekah Carter, Sergio Guerrero Pacheco, Hema Sri Kambala, Elizabeth Cortez, Kyra Parker, Le Su

Research, Publications & Creative Work

Ewing sarcoma (ES) is a high-grade bone and soft tissue tumor in adolescents and young adults. Cytotoxic chemotherapy does not improve prognosis, especially for advanced ES patients who have a 5-year survival of 30% or less [1, 2]. Molecular targeted therapy emerges as a promising strategy to battle ES, given its unique driver mutations resulting from the fusion of the EWS and one of the ETS genes, but the feasibility of directly blocking EWS-ETS function has not yet been established [3]. To search for new therapeutic targets, we began with an analysis of the Cancer Dependency Map (DepMap) datasets that …

Multi-Modal Mri Based Segmentation Of Brain Metastases Using Adaptive Self-Attention, Evan Savaria

Computer Science Faculty Publications

Brain metastases (BMs) are the most common adult central nervous system malignancy, affecting 20–40% of cancer patients. Accurate segmentation of metastatic lesions in multi-modal MRI is essential for treatment planning and prognosis however, manual delineation is time consuming and prone to variability. Traditional deep learning models such as U-Net, have improved segmentation accuracy but capture limited long-range dependencies and struggle with variations in metastasis size, shape, and distribution. This study introduces the Adaptive Integrated Multi-modal Segmentation (AIMS) model, an adaptive self-attention framework within a hybrid U-Net and Transformer architecture to enhance BM segmentation by leveraging multi-modal MRI integration. The proposed …

The Association Of Hyperhomocysteinemia (Hhcy) With Cancer Risk: An Updated Systematic Review And Meta-Analysis Of Case-Control Studies (2013-2024), Hajar Heidari

Electronic Theses & Dissertations (2024 - present)

Abstract:

Cancer continues to be one of the leading causes of morbidity and mortality globally, influenced by a complex interplay of genetic, environmental, and nutritional factors. Among these, the metabolism of homocysteine (HCY), a sulfur-containing amino acid derived from dietary methionine, has attracted growing attention due to its involvement in one-carbon metabolism and its potential link to cancer. Elevated HCY levels, a condition known as hyperhomocysteinemia (HHCY), have been shown to disrupt crucial cellular processes such as DNA methylation and promote oxidative stress (OS)—both of which contribute to genomic instability and cancer progression. Disruptions in the folate and methionine cycles, …

Resection And Reconstruction Of Ewing Sarcoma Of The Cuboid Utilizing Vascularized Fibular Autograft: A Case Report, Brandon Cunha, Alexandre Arkader

Rowan-Virtua Research Day

Ewing Sarcoma (EWS) rarely presents in the bones of the foot, and particularly in the cuboid, making it an exceedingly rare occurrence. We present the case of a 7-year-old female diagnosed with EWS of the right cuboid, detailing the management and outcomes of this rare presentation. The patient, now almost 5 years post-initial local control, exhibits restored foot function, a normalized gait, and no evidence of disease recurrence. This case underscores the potential for preserving lower extremity function and improving postoperative quality of life in rare presentations of EWS through innovative reconstruction strategies.

Physical Medicine & Rehabilitation Referrals In Cancer Patients, Bhumik Patel, Venkateswar Venkataraman, Deanna Janora, Jack Goldberg

Rowan-Virtua Research Day

Physical Medicine and Rehabilitation (PM&R) can address functional limitations in various conditions, including cancer. Cancer rehabilitation aims to address functional impairments resulting from both the disease itself and its treatments, striving to optimize physical, social, psychological, and vocational functioning. Existing literature indicates that PM&R services significantly benefit cancer patients by improving their overall quality of life. Studies have found that optimal utilization of PM&R services can increase the Functional Independence Measure (FIM) in cancer patients. Current National Comprehensive Cancer Network and American Cancer Society guidelines emphasize the importance of incorporating PM&R services into oncology care to enhance the function and …

Neoadjuvant Versus Adjuvant Therapy For Stage Iiib-Iiid Melanoma, Bhumik Patel, Sangnya Upadhyaya

Rowan-Virtua Research Day

The treatment landscape for advanced stage melanoma is rapidly evolving due to advancements in our understanding of melanoma biology and the emergence of novel therapies. This necessitates a comprehensive review to guide clinicians in adopting evidence based and patient centric approaches to treat stage IIIB-IIID melanoma. A literature review was conducted to synthesize current information on the most optimal treatment available. Data available from different clinical trials found that neoadjuvant therapy was a more effective treatment compared to adjuvant therapies alone. Furthermore, neoadjuvant therapy with combination therapy was more efficacious in producing a complete pathological response compared to monotherapy. A …

Li-Fraumeni Syndrome And The Benefits Of Annual Comprehensive Screening: A Pancreatic Adenocarcinoma Case, Alice He Bs, Wern Lynn Ng Md, Faith Seltun Do, Lay She Ng Md, Si Yuan Khor Md, Elham Nasrollahi Md, Chandi Garg Md, Rong Rong Ge Md

Tower Health Research Day

No abstract provided.

Devimistat Plus Chemotherapy Vs Chemotherapy Alone For Older Relapsed Or Refractory Patients With Aml: Results Of The Armada Trial, Timothy Pardee, Bayard Powell, Richard Larson, Joseph Maly, Michael Keng, Matthew Foster, Eun-Ji Choi, Heinz Sill, Thomas Cluzeau, Deepa Jeyakumar, Olga Frankfurt, Prapti Patel, Michael Schuster, Elisabeth Koller, Regis Costello, Uwe Platzbecker, Pau Montesinos, Susana Vives, Aziz Nazha, Rachel Cook, Carlos Vigil-Gonzales, Sylvain Chantepie, Sanjeev Luther, Jorge Cortes

Department of Medical Oncology Faculty Papers

Acute myeloid leukemia (AML) is an aggressive cancer of the myeloid lineage. Outcomes in older patients are poor, with high rates of resistant and relapsed disease. Devimistat is a lipoic acid analog that inhibits mitochondrial metabolism. Devimistat combined with high-dose cytarabine and mitoxantrone resulted in promising phase 1 and 2 response rates especially in older patients. Therefore, the phase 3 ARMADA 2000 trial was conducted in patients aged ≥50 years with relapsed or refractory AML. The study randomized patients between devimistat combined with high-dose cytarabine and mitoxantrone (CHAM) or 1 of 3 control treatment regimens without devimistat: high-dose cytarabine and …

Nebulization Based Inhalation Nanomedicine For Lung Cancer Treatments, Rahul Tiwari, Meghana Kolli, Neeraj Chauhan, Eswara Naga Hanuma, Vivek Kashyap, Subhash Chauhan, Murali Yallapu

Research Symposium

Background: Lung cancer is reported to have a high incidence rate and first leading cause of cancer-related morbidity and mortality across the world including in the United States. Noninvasive nebulized inhalation is a promising delivery strategy for lung, which can enhance the targeting efficiency and detention time interval of nanoparticles in the lung tissue, thus elevating the therapeutic index of therapeutic agent(s) at lower dosages. The aim of this study is to develop inhalable nanoparticles (INPs) for effective delivery of therapeutic agents in lung cancer cell lines and ex vivo models.

Methods: The inhalation nanoparticles (INPs) were prepared by solvent …

Sprtn Metalloprotease As A Target To Sensitize Cancer Cells To Crosslinking Chemotherapy, Cole J. Turner

Honors Theses

Bifunctional alkylating agents have demonstrated high clinical utility as a chemotherapeutic strategy against cancer. These compounds have been well-characterized for their capacity to exert cytotoxicity via interstrand DNA crosslinking. However, the same electrophilic chemistry can also form DNA-protein crosslinks (DPCs) whose contributions to these drugs’ antitumor effects have been less well-defined. Recently, the metalloprotease SPRTN has been implicated as a predominant mediator of DPC repair in mammalian cells. Previous work has demonstrated that SPRTN deficiency increases the sensitivity of cancer cells to DPC-inducing agents such as formaldehyde and cisplatin, but these findings have yet to be translated more broadly across …

Machine Learning As A Tool For Early Detection: A Focus On Late-Stage Colorectal Cancer Across Socioeconomic Spectrums, Hadiza Galadima, Rexford Anson-Dwamena, Ashley Johnson, Ghalib Bello, Georges Adunlin, James Blando

Community & Environmental Health Faculty Publications

Purpose: To assess the efficacy of various machine learning (ML) algorithms in predicting late-stage colorectal cancer (CRC) diagnoses against the backdrop of socio-economic and regional healthcare disparities. Methods: An innovative theoretical framework was developed to integrate individual- and census tract-level social determinants of health (SDOH) with sociodemographic factors. A comparative analysis of the ML models was conducted using key performance metrics such as AUC-ROC to evaluate their predictive accuracy. Spatio-temporal analysis was used to identify disparities in late-stage CRC diagnosis probabilities. Results: Gradient boosting emerged as the superior model, with the top predictors for late-stage CRC diagnosis being anatomic site, …

Detection Of Micrornas In Blood Samples Using Biosensors For The Detection Of Early-Stage Lung Cancer, Nicholas Bruno

Honors Undergraduate Theses

Lung cancer kills more people in the U.S. a year than any other cancer. This is largely because patients often remain asymptomatic until stage 3, by which time the tumor is usually highly malignant. High radiation-producing screenings are the current method of lung tumor detection. These typically involve machinery for tumor visualization, such as computed tomography (CT) scans, positron emission tomography (PET scan), magnetic resonance imaging (MRI), and X-rays. Not only does radiation exposure from this equipment pose a risk to the patient, but any tumors detected by these scanning techniques are likely to be locally advanced. This suggests that …

A Scoping Review Of Population Diversity In The Common Genomic Aberrations Of Clear Cell Renal Cell Carcinoma, Sean S. Kumar, Ninad Khandekar, Komal Dani, Saina R. Bhatt, Vinay Duddalwar, Anishka D'Souza

Department of Medicine Faculty Publications

Introduction: Previous literature has shown that clear cell renal cell carcinoma (ccRCC) is becoming a more prevalent diagnosis and that the incidence and mortality differ both regionally and racially. While the molecular profiles for ccRCC are studied regionally through biopsy and sequencing techniques, the genomic landscape and ccRCC diversity data are not well-studied. We conducted a review of the known genomic data on 6 of the most clinically relevant DNA biomarkers in ccRCC: Von Hippel-Landau (vHL), Polybromo-1 (PBRM1), Breast Cancer Gene 1-Associated Protein 1 (BAP1), Histone-Lysine N-Methyltransferase Domain-Containing 2 (SETD2), Mammalian Target of Rapamycin (mTOR), and Lysine-Specific Demethylase 5C (KDM5C). …

Near-Infrared Paired-Agent Imaging For In Vivo Quantification Of Receptor Occupancy In Tumor, Yichen Feng

Dartmouth College Ph.D Dissertations

Accurate assessment of drug receptor occupancy (RO) holds significant importance in both drug development and personalized medicine, as it facilitates quantitative characterization of dose-response relationship for a given drug. This information not only aids appropriate dose selection for clinical trials but also guides personalized dose optimization in precision medicine.

Molecular imaging, utilizing receptor-specific imaging agents for tissue visualization, has emerged as the major option for in vivo measurement of tissue RO. Nonetheless, the abnormal yet complex structure and hemodynamics of tumors often lead to substantial non-specific uptake and retention of imaging agents, thus introducing significant bias to RO measurements. To …

Raman Spectral Cytopathology For Cancer Diagnostic Applications, Fiona Lyng, Damian Traynor, Isha Behl, Declan O'Dea, Hugh Byrne

Books/Book Chapters

Histopathology is currently regarded as the “gold standard” patient sampling technique for cancer diagnostics. It involves extraction of a tissue sample, or biopsy, which is then sectioned and stained for evaluation by a pathologist [1]. Cytopathology, on the other hand, is the field of disease diagnosis at the cellular level [2], necessitating only the microscopic evaluation of samples of cells which can be harvested by less invasive methods such as exfoliative brushing, needle probes or from biofluids. Based on the identification of abnormalities in cellular appearance, cytopathology is currently widely used to aid in the screening of cancer, as well …

Msdrp: A Deep Learning Model Based On Multisource Data For Predicting Drug Response, Haochen Zhao, Xiaoyu Zhang, Qichang Zhao, Yaohang Li, Jianxin Wang

Computer Science Faculty Publications

Motivation: Cancer heterogeneity drastically affects cancer therapeutic outcomes. Predicting drug response in vitro is expected to help formulate personalized therapy regimens. In recent years, several computational models based on machine learning and deep learning have been proposed to predict drug response in vitro. However, most of these methods capture drug features based on a single drug description (e.g. drug structure), without considering the relationships between drugs and biological entities (e.g. target, diseases, and side effects). Moreover, most of these methods collect features separately for drugs and cell lines but fail to consider the pairwise interactions between drugs and cell …

Indwelling Pleural Catheterization Maximizes Functionality And Quality Of Life In Management Of Recurrent Malignant Pleural Effusions, Avinash Ramkissoon

Clinical Research in Practice: The Journal of Team Hippocrates

A clinical decision report using:

Davies HE, Mishra EK, Kahan BC, et al. Effect of an indwelling pleural catheter vs chest tube and talc pleurodesis for relieving dyspnea in patients with malignant pleural effusion: The TIME2 randomized controlled trial. J Am Med Assoc. 2012;307(22):2383-2389. https://doi.org/10.1001/jama.2012.5535

for the management of recurrent malignant pleural effusions in a patient with metastatic renal cell carcinoma.

Foundations Of Plasmas For Medical Applications, T. Von Woedtke, Mounir Laroussi, M. Gherardi

Electrical & Computer Engineering Faculty Publications

Plasma medicine refers to the application of nonequilibrium plasmas at approximately body temperature, for therapeutic purposes. Nonequilibrium plasmas are weakly ionized gases which contain charged and neutral species and electric fields, and emit radiation, particularly in the visible and ultraviolet range. Medically-relevant cold atmospheric pressure plasma (CAP) sources and devices are usually dielectric barrier discharges and nonequilibrium atmospheric pressure plasma jets. Plasma diagnostic methods and modelling approaches are used to characterize the densities and fluxes of active plasma species and their interaction with surrounding matter. In addition to the direct application of plasma onto living tissue, the treatment of liquids …