archives@tulane.edu / This dissertation is rooted in clinical pathology research, and the main character is addressing limitations in current pathology evaluation workflows. Diagnostic procedures for cancer are typically conducted via core needle biopsy procedures; however, tissue sampling limitations often result in a low yield of samples containing cancer – there are no reliable intraoperative methods to determine if the “lesion is in the needle”. If biopsy procedures result in a diagnosis of cancer, surgical removal of the tumor is often the frontline curative therapy for many cancers. Importantly, histologic evaluation following the whole resected organ is necessary to determine the presence of residual cancer, yet current methods do not allow efficient determination of tumor removal completeness intraoperatively. To address limitations of current histopathology methods, what is critically needed is a point-of-procedure fresh tissue evaluation system that facilitates 1) rapid on-site imaging and evaluation, 2) less destruction, and 3) more complete assessment of tumor content in fresh specimens.
A novel microscopy system using video-rate structured illumination (VR-SIM), has been developed with the intent of rapid, point-of-procedure histological screening of intact biopsy and whole surgical specimens. VR-SIM leverages widefield imaging, rapid acting fluorescent stains, and optical sectioning to provide high contrast digital images of tissue with histological relevance. The method is to replicate the standard approach as closely as possible, but replace the physical section with an optically sectioned digital image.
The overall goal of this work is to perform technological and methodological refinements necessary to translate VR-SIM as a clinical tool for histologic evaluation of fresh tissue in diagnostic procedures, biobanking, and tumor margin assessment. This project will lay the groundwork for quantitative evaluation of VR-SIM as a clinical tool – with the goal of leading toward industrial design of a VR-SIM as a medical device for hospital use. Developing a new framework for integration of high throughput microscopy into the clinical and research workflow, as well as developing new methods for quantification and evaluation of clinical effectiveness these tools will be presented and discussed in the context of patient outcomes and economic impact. / 1 / David Tulman
| Identifer | oai:union.ndltd.org:TULANE/oai:http://digitallibrary.tulane.edu/:tulane_87837 |
| Date | January 2018 |
| Contributors | Tulman, David (author), Brown, Jonathon Q. (Thesis advisor), School of Science & Engineering Biomedical Engineering (Degree granting institution) |
| Publisher | Tulane University |
| Source Sets | Tulane University |
| Language | English |
| Detected Language | English |
| Type | Text |
| Format | electronic, pages: 190 |
| Rights | No embargo, Copyright is in accordance with U.S. Copyright law. |
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