Medicine and Health Sciences Commons^™

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.

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 …

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 …

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.

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 …

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, …