Defense Date
3-24-2021
Graduation Date
Spring 5-7-2021
Availability
Immediate Access
Submission Type
thesis
Degree Name
MS
Department
Biomedical Engineering
School
Rangos School of Health Sciences
Committee Chair
John Viator
Committee Member
Melikhan Tanyeri
Committee Member
John Kern
Keywords
Melanoma, Photoacoustics, Detection, Cancer, Disease-State, Flow Cytometry
Abstract
Approximately 1 in 50 Americans develop melanoma in their lifetime. Early detection of melanoma is pivotal to the survival of the patient, with a 99% survival rate for 5 or more years after an early diagnosis. Metastasis, or the spread of cancer, increases the chances of cancerous growth in other parts of the body. In this study, we propose the use of photoacoustic flow cytometry as a diagnostic of patient disease state, by closely monitoring the amount of circulating melanoma cells (CMCs) in a patient’s blood before and after chemotherapy treatments. Using this patient data, we were able to make conclusions regarding the progression of cancer in each of the patients. In the future, we hope to use this real time diagnostic as insight to the effectiveness of a patient’s treatment and ideally sculpting a more effective patient- by- patient treatment regimen.
Language
English
Recommended Citation
Salvatore, J. (2021). Diagnosis of Melanoma Disease State From Patient Blood Samples Using Photoacoustic Flow Cytometry (Master's thesis, Duquesne University). Retrieved from https://dsc.duq.edu/etd/1994
Included in
Bioimaging and Biomedical Optics Commons, Biomedical Devices and Instrumentation Commons, Molecular, Cellular, and Tissue Engineering Commons