ORCID Identifier(s)

ORCID 0000-0002-8072-8477

Graduation Semester and Year

Spring 2026

Language

English

Document Type

Dissertation

Degree Name

Doctor of Philosophy in Biomedical Engineering

Department

Bioengineering

First Advisor

Liping Tang Ph.D.

Second Advisor

Kytai Nguyen Ph.D.

Third Advisor

Yi Hong Ph.D.

Fourth Advisor

Joseph Borrelli Jr. M.D.

Sixth Advisor

Jon Senkowsky M.D.

Abstract

Prediction of tissue healing is of tantamount importance to injured patients’ wellbeing as well as to physicians’ decision-making process regarding treatment. Biological markers of tissue healing allow physicians to explore new healing treatments or tailor treatments around the healing progress of an injury. This, in turn, reduces decision-making time before patients receive optimal treatment, reducing patient distress and medical costs. In the past 5 years, I have focused on identifying or further confirming biomarkers of healing in human tissue—specifically, in human labral tissues and chronic wounds.  My work encompasses both histological studies (chapters 1 and 2) and clinical studies (chapter 3) and has culminated in the publication of the following peer-reviewed articles:

Chapter 1: Hoang LQ, Vaish B, Izuagbe S, et al. Histological Analysis of Regenerative Properties in Human Glenoid Labrum Regions. Am J Sports Med 2023;51(8):2030–2040; doi: 10.1177/03635465231171680.

Chapter 2: Hoang LQ, Rifat S, Gray N, et al. Histological Comparison of Potential Healing Properties in the Human Glenoid and Acetabular Labrum. Orthop J Sports Med 2026. [Manuscript submitted for publication]

Chapter 3: Hoang LQ, Pal S, Liu Z, et al. A time-dependent survival analysis for early prognosis of chronic wounds by monitoring wound alkalinity. Int Wound J 2022;1–17; doi: 10.1111/iwj.14001.

Keywords

glenoid, acetabular, labrum, biomarker, healing, vascularity, chronic wound, regeneration, ulcer, prognosis

Disciplines

Molecular, Cellular, and Tissue Engineering

License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Available for download on Saturday, May 01, 2027

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