R01AR080742
Project Grant
Overview
Grant Description
Identifying determinants of rapid structural and/or clinical progression in knee osteoarthritis by quantitative assessment of structural features on radiographs - Abstract
Knee osteoarthritis (KOA) is a major public health problem that affects ~30 million US adults, with increased morbidity and premature mortality. KOA has been identified as one of the biggest unmet medical needs because there are no FDA-approved treatments available to prevent, slow or halt OA progression.
Development and evaluation of potential OA treatments has been hampered in part by KOA typically being a slowly progressive disease, though progression is variable and some knees undergo rapid structural or clinical progression. Feasible high-throughput methods are needed to gain insights as to how to identify rapid progressors.
We have developed a rapid, reproducible, and responsive quantitative software tool, Quantitative Radiographic Software Scores (QROS), to measure minimal joint space width (JSW), fixed JSW (FJSW), variance of 14 FJSW locations; degrees of knee alignment/ malalignment; and orientation and roughness of trabecular bone texture (TBT).
The overarching goal of our research is to identify knees at high risk of rapid progression, and our core concept is that quantitative assessment of a novel combination of baseline structural features on radiographs will identify a group of knees with rapid structural and/or clinical progression in KOA.
Our central hypothesis is that abnormalities of structural features on knee radiographs will be determinants of varying combinations of worsening rates of structural and/or clinical progression in KOA.
Our approach takes advantage of a unique opportunity to innovatively assess radiographic features on ~10,500 individuals by combining three of the largest and most racially diverse longitudinal observational studies of individuals with or at risk of developing KOA: the Johnston County Osteoarthritis Project (JOCOOA), the Multicenter Osteoarthritis Study (MOST), and the Osteoarthritis Initiative (OAI).
All three cohorts have fixed flexion, weightbearing knee radiographs that were acquired with identical protocols over multiple visits, and comparable data on demographics, KOA risk factors, and WOMAC pain and function.
Our specific aims are:
1) To quantitatively assess structural and clinical progression of KOA, separately and combined;
2) To identify the structural determinants of rapid KOA progression; and
3) To determine the knee-specific probability and time to knee replacement (KR) based on structural and clinical determinants.
Knee osteoarthritis (KOA) is a major public health problem that affects ~30 million US adults, with increased morbidity and premature mortality. KOA has been identified as one of the biggest unmet medical needs because there are no FDA-approved treatments available to prevent, slow or halt OA progression.
Development and evaluation of potential OA treatments has been hampered in part by KOA typically being a slowly progressive disease, though progression is variable and some knees undergo rapid structural or clinical progression. Feasible high-throughput methods are needed to gain insights as to how to identify rapid progressors.
We have developed a rapid, reproducible, and responsive quantitative software tool, Quantitative Radiographic Software Scores (QROS), to measure minimal joint space width (JSW), fixed JSW (FJSW), variance of 14 FJSW locations; degrees of knee alignment/ malalignment; and orientation and roughness of trabecular bone texture (TBT).
The overarching goal of our research is to identify knees at high risk of rapid progression, and our core concept is that quantitative assessment of a novel combination of baseline structural features on radiographs will identify a group of knees with rapid structural and/or clinical progression in KOA.
Our central hypothesis is that abnormalities of structural features on knee radiographs will be determinants of varying combinations of worsening rates of structural and/or clinical progression in KOA.
Our approach takes advantage of a unique opportunity to innovatively assess radiographic features on ~10,500 individuals by combining three of the largest and most racially diverse longitudinal observational studies of individuals with or at risk of developing KOA: the Johnston County Osteoarthritis Project (JOCOOA), the Multicenter Osteoarthritis Study (MOST), and the Osteoarthritis Initiative (OAI).
All three cohorts have fixed flexion, weightbearing knee radiographs that were acquired with identical protocols over multiple visits, and comparable data on demographics, KOA risk factors, and WOMAC pain and function.
Our specific aims are:
1) To quantitatively assess structural and clinical progression of KOA, separately and combined;
2) To identify the structural determinants of rapid KOA progression; and
3) To determine the knee-specific probability and time to knee replacement (KR) based on structural and clinical determinants.
Awardee
Funding Goals
NOT APPLICABLE
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Tucson,
Arizona
857240001
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the total obligations have increased 405% from $738,879 to $3,733,403.
University Of Arizona was awarded
Quantitative Assessment for Rapid KOA Progression
Project Grant R01AR080742
worth $3,733,403
from the National Institute of Arthritis and Musculoskeletal and Skin Diseases in August 2022 with work to be completed primarily in Tucson Arizona United States.
The grant
has a duration of 4 years 10 months and
was awarded through assistance program 93.846 Arthritis, Musculoskeletal and Skin Diseases Research.
The Project Grant was awarded through grant opportunity NIH Research Project Grant (Parent R01 Clinical Trial Not Allowed).
Status
(Ongoing)
Last Modified 7/6/26
Period of Performance
8/12/22
Start Date
6/30/27
End Date
Funding Split
$3.7M
Federal Obligation
$0.0
Non-Federal Obligation
$3.7M
Total Obligated
Activity Timeline
Subgrant Awards
Disclosed subgrants for R01AR080742
Transaction History
Modifications to R01AR080742
Additional Detail
Award ID FAIN
R01AR080742
SAI Number
R01AR080742-3073712542
Award ID URI
SAI UNAVAILABLE
Awardee Classifications
Public/State Controlled Institution Of Higher Education
Awarding Office
75NB00 NIH National Institute of Arthritis and Musculoskeletal and Skin Diseases
Funding Office
75NB00 NIH National Institute of Arthritis and Musculoskeletal and Skin Diseases
Awardee UEI
ED44Y3W6P7B9
Awardee CAGE
0LJH3
Performance District
AZ-07
Senators
Kyrsten Sinema
Mark Kelly
Mark Kelly
Budget Funding
| Federal Account | Budget Subfunction | Object Class | Total | Percentage |
|---|---|---|---|---|
| National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Health and Human Services (075-0888) | Health research and training | Grants, subsidies, and contributions (41.0) | $1,851,287 | 100% |
Modified: 7/6/26