The identification of cancer metastases to the bony vertebral column obligates the treating clinician to make a surgical decision. The consequences of that decision for the patient are significant whether the recommendation is for surgical or non-surgical treatment. If the spine is deemed unstable and at risk for fracture, then the patient will undergo a major spinal operation, and will often spend much of their remaining life recuperating from it. Conversely, the patient whose spine is deemed stable and receives non-surgical treatment risks fracture and possible paralysis if the stability analysis was incorrect. In addition, the metastatic disease usually progresses, and the stability analysis must be repeated at intervals throughout the disease course. The spinal stability decision is empirical and can be inaccurate, even when done by experienced spinal clinicians. This proposal addresses both the stability decision and, for those patients deemed at risk for fracture, the nature of the treatment.
Aim 1 describes the development of an automated program that analyzes spinal computerized tomography scans, and calculates the residual load carrying capacity of the affected vertebra.
Aim 2 optimizes novel injectable materials to restore the load carrying capacity of the vertebra in a minimally invasive manner, thus decreasing time in recovery and rehabilitation from major spine surgery. Successful achievement of this aim would offer an alternative to open surgery for many of these patients, thus decreasing their rehabilitation time and increasing their family time.
Aim 3 addresses validation of both the automated spinal stability analysis and the minimally invasive spinal reconstruction. These in vitro and in vivo Aim 3 preclinical validation studies are requisite steps to position both the Aim 1 automated diagnostic methodology and the Aim 2 minimally invasive surgical treatment methodology closer to the goal of translation to clinical practice. Public Health Relevance Statement (provided by applicant): The computerized spinal stability assessment, for patients who have cancer that has spread to their spine, will offer more accurate diagnosis of the need for spine surgery to the patients, and with a much greater likelihood that the patients and their families can get the evaluation done near their home, saving them time, expense, and inconvenience. The recommendation for non-surgical treatment will be made with increased assurance that the risk of a spine fracture is low. Those patients, who do need surgery, will often chose minimally invasive surgical techniques that will shorten their hospital stay and allow them to return home to their families.
|Liu, Xifeng; Yaszemski, Michael J; Lu, Lichun (2016) Expansile crosslinked polymersomes for pH sensitive delivery of doxorubicin. Biomater Sci 4:245-9|
|Liu, Xifeng; Miller 2nd, A Lee; Waletzki, Brian E et al. (2015) Novel biodegradable poly(propylene fumarate)-co-poly(l-lactic acid) porous scaffolds fabricated by phase separation for tissue engineering applications. RSC Adv 5:21301-21309|
|Liu, Xifeng; Miller 2nd, A Lee; Waletzki, Brian E et al. (2015) Hydrolysable core crosslinked particle for receptor-mediated pH-sensitive anticancer drug delivery. New J Chem 39:8840-8847|
|Lu, Lichun; Arbit, Harvey M; Herrick, James L et al. (2015) Tissue engineered constructs: perspectives on clinical translation. Ann Biomed Eng 43:796-804|
|Nazarian, Ara; Entezari, Vahid; Zurakowski, David et al. (2015) Treatment Planning and Fracture Prediction in Patients with Skeletal Metastasis with CT-Based Rigidity Analysis. Clin Cancer Res 21:2514-9|
|Matsuura, Y; Giambini, H; Ogawa, Y et al. (2014) Specimen-specific nonlinear finite element modeling to predict vertebrae fracture loads after vertebroplasty. Spine (Phila Pa 1976) 39:E1291-6|
|Fang, Zhong; Giambini, Hugo; Zeng, Heng et al. (2014) Biomechanical evaluation of an injectable and biodegradable copolymer P(PF-co-CL) in a cadaveric vertebral body defect model. Tissue Eng Part A 20:1096-102|
|Runge, M Brett; Wang, Huan; Spinner, Robert J et al. (2012) Reformulating polycaprolactone fumarate to eliminate toxic diethylene glycol: effects of polymeric branching and autoclave sterilization on material properties. Acta Biomater 8:133-43|
|Yan, Jun; Li, Jianmin; Runge, M Brett et al. (2011) Cross-linking characteristics and mechanical properties of an injectable biomaterial composed of polypropylene fumarate and polycaprolactone co-polymer. J Biomater Sci Polym Ed 22:489-504|
|Moroder, Philipp; Runge, M Brett; Wang, Huan et al. (2011) Material properties and electrical stimulation regimens of polycaprolactone fumarate-polypyrrole scaffolds as potential conductive nerve conduits. Acta Biomater 7:944-53|
Showing the most recent 10 out of 12 publications