Program lead: Robb Colbrunn
The Orthopaedic Biomechanics research program is focused on mechanistic relationships between anatomical structures, surgical interventions, and joint movement & loading patterns. We have developed advanced robotic and mechatronic technologies to assist in answering these types of clinical questions. We study all the major joints including knee, spine, hip, shoulder, elbow, foot/ankle, and hand/wrist. The aim of our translational research program is to guide clinical decision making with a mechanistic understanding of the joint biomechanics of surgical interventions.
Collaborators: Paul Saluan, Mike Steinmetz, Bilal Butt, Lutul Farrow, Mark Schickendantz, Nicolas Piuzzi, Ahmet Erdemir, Viktor Krebs
Program lead: Ahmet Erdemir and Snehal Chokhandre
Our research program aims to streamline extraction of image- and simulation-based markers for characterization and prediction of knee function. With Open Knee(s), we launched, sustain and are growing a virtual knee cohort to conduct in silico experiments for discovery and innovation. With our multi-site project KNEEHUB, we documented the art of knee modeling and simulation, curated end-to-end simulation approaches, assessed their reproducibility potential, and now establishing community-driven consensus workflows. With Kneeformatics, we invented novel strategies for individualized determination of knee movement capacity and signature solely from static clinical imaging. We aim to use this translational technology for phenotyping of knee mobility, for diagnosis and prognosis of knee pathology, and for surgical planning.
Program lead: Xiaojuan Li, Carl Winalski
The Program of Advanced Musculoskeletal Imaging (PAMI) is built upon Cleveland Clinic's nationally-ranked clinical care and research programs in orthopaedics, rheumatology and imaging. Our mission is to advance musculoskeletal imaging for improved orthopaedic and rheumatologic healthcare through technical development, clinical translation, and education. Novel imaging and image processing techniques are being developed and validated for improved structural, biochemical, and functional assessment of musculoskeletal tissues (cartilage, bone, tendon, ligament, muscle, fat, etc.). PAMI also strives for rapid clinical translation of state-of-the-art imaging techniques into routine clinical use to improve early diagnosis and prognosis for patients with significant musculoskeletal diseases. In addition to technical development, PAMI has a particular emphasis combining quantitative imaging, advanced data analysis methodologies (including big data analysis) and machine learning techniques. PAMI embraces all imaging modalities including MR (3T and 7T), CT, nuclear medicine and ultrasound.
Collaborators: Faysal Altahawi, Charlie Androjna, Po-Hao Chen, Robb Colbrunn, Srinivasan Dasarathy, Chad Deal, Kathleen Derwin, Frank DiFilippo, Brendan Eck, John Elias, Todd Emch, Ahmet Erdemir, Lutul Farrow, Michael Forney, Ghaith Habboub, Stephen Hatem, Darlene Holden, Elaine Husni, Joseph Iannotti, Hakan Ilaslan, Stephen E. Jones, Bong Jae Jun, Atul Kamath, Vladimir Kepe, Aaron Lear, Xiaojuan Li, Mark Lowe, Charles Martin III, Anthony Miniaci, George Muschler, Kunio Nakamura, Nancy Obuchowski, Erik Pioro, Joshua Polster, Eric Ricchetti, Sambit Sahoo, Jean Schils, Wanyong Shin, Claus Simpfendorfer, Kurt Spindler, Michael Steinmetz, Naveen Subhas, Carl Winalski, Mingrui Yang, Stefan Zbyn
The Amy and David Krohn Family Orthopaedic Outcomes Center (OOC) is an arm of the Cleveland Clinic Musculoskeletal Research Center (MSRC) focusing primarily on the clinical outcomes of orthopaedic surgery and related treatments. Bringing together the expertise of orthopaedic clinicians, researchers, data scientists, and statisticians, the OOC endeavors to: