Investigative Techniques Commons^™

A Novel In Vitro Method For Pelvic Floor Dysfunction In Pcos Women, Ruben Vila

University Honors Theses

Background:

Poly Cystic Ovary Syndrome and Pelvic Floor Dysfunction are reproductive diseases with comorbidities whose novel relationship deserves further investigation.

Methods:

Levator Ani Muscle/Paravaginal Attachment was dissected from female Rhesus Macaque and subjected to tissue dissociation. Cells were treated with serum level hormones E2, T, and DHT. PCR, ICC, and IHC were used, followed by statistical analysis.

Results:

RNA analysis show differences in relative expression for endpoints ER, PR, AR, Ki-67, Col1A, and Vimentin. IHC along with ICC showed expression and localization in vivo.

Conclusions:

A novel in vitro model was created from macaque Levator Ani Muscle/Paravaginal Attachment for Pelvic …

Expression And Function Of Transcription Factors Foxa1, Hoxb13 And Cdx2 In Prostate Cancer, Hamsat B. Anwar

University Honors Theses

Prostate cancer (PC) is the second leading cause of death in men, affecting around 190 thousand patients in 2020 alone (National Institute of Cancer, 2020). Much of the current research focuses on treatments for advanced PC, which is problematic due to the rapid evolution of tumors and development of treatment resistance. Cancer early detection presents a better approach to control and treat patients before they acquire an incurable disease. Earlier diagnosis of patients leads to better prognosis and a more comfortable treatment process (Etzioni et al., 2003). However, we currently lack molecular markers to stratify PC during its early stages. …

Improving Access To Rare Disease Clinical Trials Through Telemedicine, Dylan Haynes, Christina Topham, Teri Greiling

OHSU-PSU School of Public Health Annual Conference

Introduction: Rare diseases affect nearly 400 million individuals worldwide. The geographic density of any single disease, however, can prohibit access to care and research efforts. Telemedicine has improved access barriers in the clinical setting, though its application in rare disease trials has not been evaluated.

Objective: To assess the impact on access to care of videoconferencing in a rare disease clinical trial.

Materials and Methods: Preliminary analysis was performed on the first five participants to complete our ongoing trial (NCT03485976) evaluating the efficacy of ixekizumab for the treatment of pityriasis rubra pilaris. Participants were required to travel to Oregon Health …

Intensity Inhomogeneity Correction Of Sd-Oct Data Using Macular Flatspace, Andrew Lang, Aaron Carass, Bruno M. Jedynak, Sharon D. Solomon, Peter A. Calabresi, Jerry L. Prince

Mathematics and Statistics Faculty Publications and Presentations

Images of the retina acquired using optical coherence tomography (OCT) often suffer from intensity inhomogeneity problems that degrade both the quality of the images and the performance of automated algorithms utilized to measure structural changes. This intensity variation has many causes, including off-axis acquisition, signal attenuation, multi-frame averaging, and vignetting, making it difficult to correct the data in a fundamental way. This paper presents a method for inhomogeneity correction by acting to reduce the variability of intensities within each layer. In particular, the N3 algorithm, which is popular in neuroimage analysis, is adapted to work for OCT data. N3 works …

Prostate Segmentation On Pelvic Ct Images Using A Genetic Algorithm, Payel Ghosh, Melanie Mitchell

Computer Science Faculty Publications and Presentations

A genetic algorithm (GA) for automating the segmentation of the prostate on pelvic computed tomography (CT) images is presented here. The images consist of slices from three-dimensional CT scans. Segmentation is typically performed manually on these images for treatment planning by an expert physician, who uses the “learned” knowledge of organ shapes, textures and locations to draw a contour around the prostate. Using a GA brings the flexibility to incorporate new “learned” information into the segmentation process without modifying the fitness function that is used to train the GA. Currently the GA uses prior knowledge in the form of texture …