This is a renewal application for a Midcareer Investigator Award in Patient-Oriented Research (K24). The applicant, Dr. Garry Gold, is a physician-scientist, Professor of Radiology, Bioengineering, and Orthopedics at Stanford University. Over the past 15 years, Dr. Gold has developed expertise in several advanced musculoskeletal imaging and biomechanics techniques and applied these to the study of osteoarthritis and joint diseases. This has led to his developing an independent patient-oriented research (POR) career. He has received two independent research awards from the NIH that use MR techniques to investigate the pathophysiology of musculoskeletal diseases (both from NIBIB) and recently received an award from NIAMS to use Weight-Bearing CT to study joint loading. Dr. Gold has a 10-year history of mentoring junior clinician scientists, postdoctoral fellows, medical students, graduate students, and undergraduates - all performing POR. In addition, Dr. Gold has active collaborations with many NIH-funded investigators in the area of musculoskeletal research and imaging. The current application requests funding (50% salary) for 5 years. This funding will guarantee that the candidate will have at least 70% protected time to conduct his ongoing research and to continue to mentor clinician scientists performing POR. This award will free time now devoted to administrative and clinical responsibilities to focus more on his research and mentoring activities over the next 5 years. In addition to working on the ongoing NIH-funded projects, Dr. Gold will obtain additional training in advanced MR collection and analysis methods. This will allow the candidate to develop new approaches to apply to the imaging of musculoskeletal diseases. Given the outstanding resources and collaborations at Stanford, these novel projects are expected to be either renewed or to lead to new directions in orthopedic research, and significantly contribute to our scientific understanding of these disabling conditions.

Public Health Relevance

Musculoskeletal diseases such as osteoarthritis have a tremendous impact on the individual and society as a whole. We need better imaging tools to detect these diseases at an early, treatable stage. This renewal of a K24 award will permit the PI to maintain his efforts in mentoring junior investigators in patient-oriented research, and to conduct research to improve detection, understanding, and treatment of patients with musculoskeletal disease.

Agency
National Institute of Health (NIH)
Institute
National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)
Type
Midcareer Investigator Award in Patient-Oriented Research (K24)
Project #
5K24AR062068-07
Application #
9650523
Study Section
Arthritis and Musculoskeletal and Skin Diseases Special Grants Review Committee (AMS)
Program Officer
Zheng, Xincheng
Project Start
2012-04-01
Project End
2023-02-28
Budget Start
2019-03-01
Budget End
2020-02-29
Support Year
7
Fiscal Year
2019
Total Cost
Indirect Cost
Name
Stanford University
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94305
Yoder, James S; Kogan, Feliks; Gold, Garry E (2018) PET-MRI for the Study of Metabolic Bone Disease. Curr Osteoporos Rep 16:665-673
Kogan, F; Fan, A P; Monu, U et al. (2018) Quantitative imaging of bone-cartilage interactions in ACL-injured patients with PET-MRI. Osteoarthritis Cartilage 26:790-796
Halilaj, E; Hastie, T J; Gold, G E et al. (2018) Physical activity is associated with changes in knee cartilage microstructure. Osteoarthritis Cartilage 26:770-774
Kogan, Feliks; Levine, Evan; Chaudhari, Akshay S et al. (2018) Simultaneous bilateral-knee MR imaging. Magn Reson Med 80:529-537
Kogan, Feliks; Broski, Stephen M; Yoon, Daehyun et al. (2018) Applications of PET-MRI in musculoskeletal disease. J Magn Reson Imaging 48:27-47
Chaudhari, Akshay S; Fang, Zhongnan; Kogan, Feliks et al. (2018) Super-resolution musculoskeletal MRI using deep learning. Magn Reson Med 80:2139-2154
Chaudhari, Akshay S; Black, Marianne S; Eijgenraam, Susanne et al. (2018) Five-minute knee MRI for simultaneous morphometry and T2 relaxometry of cartilage and meniscus and for semiquantitative radiological assessment using double-echo in steady-state at 3T. J Magn Reson Imaging 47:1328-1341
Sveinsson, B; Chaudhari, A S; Gold, G E et al. (2017) A simple analytic method for estimating T2 in the knee from DESS. Magn Reson Imaging 38:63-70
Kogan, Feliks; Fan, Audrey P; McWalter, Emily J et al. (2017) PET/MRI of metabolic activity in osteoarthritis: A feasibility study. J Magn Reson Imaging 45:1736-1745
Berger, M; Xia, Y; Aichinger, W et al. (2017) Motion compensation for cone-beam CT using Fourier consistency conditions. Phys Med Biol 62:7181-7215

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