The long-term objective of this research is to enable more affordable and shorter duration clinical trials, thereby facilitating the introduction of effective disease modifying therapies for knee osteoarthritis (OA). OA affects over 27 million Americans, afflicting them with pain, substantial mobility limitations, and large health care expenditures. There are gaps in our ability to predict and detect progression, limiting the potential to forestall this prevalent disease. The critical barriers to determining prognosis and longitudinally monitoring knee OA are the poor sensitivity and responsiveness of radiographs, the most common means of evaluating knee OA. At times, these limitations have made advancement of novel treatments prohibitively expensive, through necessitating large sample sizes and long durations of follow-up for clinical studies. Our preliminary studies established the feasibility of detecting key knee OA features accurately and reliably with standing CT (SCT) imaging. In the proposed project, we will establish the performance of more useful biomarkers for OA than are available with radiographs. We propose to address the remaining steps necessary to begin qualification of these SCT-based OA biomarkers.
Aim 1 is to determine the responsiveness of SCT biomarkers for detecting knee OA progression, and to establish concurrent validity through comparison with worsening of cartilage on MRI.
Aim 2 is to quantify the added prognostic value of more sensitive detection of meniscal extrusion for prediction of rapid worsening of cartilage lesions and knee pain. Achieving these aims will be transformative; introducing more sensitive and responsive biomarkers for assessing OA, without significantly increasing the cost, time or radiation exposure. The ability to detect structural changes in bone and menisci earlier in the disease process could accelerate scientific progress and clinical care. The enhanced performance could identify stages when patients are most likely to respond to interventions. The expected product will be immediate delivery of substantially improved biomarkers for detection and longitudinal evaluation of OA, that could be deployed in clinical trials, using a compact scanner with the same Relative Radiation Level as radiographs. The enhanced ability to predict and measure OA progression will address critical barriers to progress in OA research and patient care by enabling more efficient assessment of therapeutic efficacy. Designation of OA as a serious disease is opening expedited pathways to approval of OA therapies, making this research timely. The long-term impact of this project will be a potential shift in clinical trials and care? replacement of radiographs for monitoring of knee OA. This research will catalyze the ability to predict and monitor knee OA worsening, enabling more rapid development of therapies by reducing the required sample sizes, duration and costs of clinical trials, thereby powerfully influencing prevention and treatment.

Public Health Relevance

The proposed research will establish the diagnostic performance of novel imaging biomarkers for osteoarthritis using 3-dimensional standing CT (SCT), a more advantageous way of imaging lower limb joints than x-rays (the current standard), while retaining the low cost, low radiation levels and convenience. Evidence that these new biomarkers have greater responsiveness to change would enable more rapid assessment of therapeutic effects, reducing the duration and cost of clinical trials and accelerating medical progress. A closer relationship between SCT biomarkers and outcomes of importance to patients?worsening disease and pain? would provide more clinically relevant means of measuring efficacy of therapies for prevention and treatment, thereby substantially improving health for millions of adults affected by osteoarthritis. !

Agency
National Institute of Health (NIH)
Institute
National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)
Type
Research Project (R01)
Project #
5R01AR071648-02
Application #
9761981
Study Section
Arthritis and Musculoskeletal and Skin Diseases Clinical Trials Review Committee (AMSC)
Program Officer
Zheng, Xincheng
Project Start
2018-08-15
Project End
2021-06-30
Budget Start
2019-07-01
Budget End
2020-06-30
Support Year
2
Fiscal Year
2019
Total Cost
Indirect Cost
Name
University of Kansas
Department
Physical Medicine & Rehab
Type
Schools of Medicine
DUNS #
016060860
City
Kansas City
State
KS
Country
United States
Zip Code
66160