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Richard MJ, Lo GH, Driban JB, Canavatchel AR, LaValley M, Zhang M, Price LL, Miller E, Eaton CB, McAlindon TE. Knee cartilage change on magnetic resonance imaging: Should we lump or split topographical regions? A 2-year study of data from the osteoarthritis initiative. Clin Anat 2024; 37:210-217. [PMID: 38058252 PMCID: PMC10922267 DOI: 10.1002/ca.24127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 08/14/2023] [Accepted: 11/09/2023] [Indexed: 12/08/2023]
Abstract
OBJECTIVE We challenge the paradigm that a simplistic approach evaluating anatomic regions (e.g., medial femur or tibia) is ideal for assessing articular cartilage loss on magnetic resonance (MR) imaging. We used a data-driven approach to explore whether specific topographical locations of knee cartilage loss may identify novel patterns of cartilage loss over time that current assessment strategies miss. DESIGN We assessed 60 location-specific measures of articular cartilage on a sample of 99 knees with baseline and 24-month MR images from the Osteoarthritis Initiative, selected as a group with a high likelihood to change. We performed factor analyses of the change in these measures in two ways: (1) summing the measures to create one measure for each of the six anatomically regional-based summary (anatomic regions; e.g., medial tibia) and (2) treating each location separately for a total of 60 measures (location-specific measures). RESULTS The first analysis produced three factors accounting for 66% of the variation in the articular cartilage changes that occur over 24 months of follow-up: (1) medial tibiofemoral, (2) medial and lateral patellar, and (3) lateral tibiofemoral. The second produced 20 factors accounting for 75% of the variance in cartilage changes. Twelve factors only involved one anatomic region. Five factors included locations from adjoining regions (defined by the first analysis; e.g., medial tibiofemoral). Three factors included articular cartilage loss from disparate locations. CONCLUSIONS Novel patterns of cartilage loss occur within each anatomic region and across these regions, including in disparate regions. The traditional anatomic regional approach is simpler to implement and interpret but may obscure meaningful patterns of change.
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Affiliation(s)
- Michael J. Richard
- Tufts Medical Center, Department of Medicine, Division of Rheumatology, Allergy, and Immunology, Boston, MA, USA
| | - Grace H. Lo
- Medical Care Line and Research Care Line; Houston VA HSR&D Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VAMC, Houston, TX, USA
- Section of Immunology, Allergy, and Rheumatology, Baylor College of Medicine, Houston, TX, USA
| | - Jeffrey B. Driban
- Tufts Medical Center, Department of Medicine, Division of Rheumatology, Allergy, and Immunology, Boston, MA, USA
| | - Amanda R. Canavatchel
- Tufts Medical Center, Department of Medicine, Division of Rheumatology, Allergy, and Immunology, Boston, MA, USA
| | | | - Ming Zhang
- Boston University, School of Computer Science, Boston, MA, USA
| | - Lori Lyn Price
- Tufts Clinical and Translational Science Institute and The Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA
| | - Eric Miller
- Department of Electrical and Computer Engineering, Tufts University, Medford, MA, USA
| | - Charles B. Eaton
- Warren Alpert Medical School of Brown University, Department of Family Medicine, Providence, RI and School of Public Health of Brown University, Providence, RI, USA
| | - Timothy E. McAlindon
- Tufts Medical Center, Department of Medicine, Division of Rheumatology, Allergy, and Immunology, Boston, MA, USA
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Roemer FW, Jarraya M, Collins JE, Kwoh CK, Hayashi D, Hunter DJ, Guermazi A. Structural phenotypes of knee osteoarthritis: potential clinical and research relevance. Skeletal Radiol 2023; 52:2021-2030. [PMID: 36161341 PMCID: PMC10509066 DOI: 10.1007/s00256-022-04191-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 09/19/2022] [Accepted: 09/19/2022] [Indexed: 02/02/2023]
Abstract
A joint contains many different tissues that can exhibit pathological changes, providing many potential targets for treatment. Researchers are increasingly suggesting that osteoarthritis (OA) comprises several phenotypes or subpopulations. Consequently, a treatment for OA that targets only one pathophysiologic abnormality is unlikely to be similarly efficacious in preventing or delaying the progression of all the different phenotypes of structural OA. Five structural phenotypes have been proposed, namely the inflammatory, meniscus-cartilage, subchondral bone, and atrophic and hypertrophic phenotypes. The inflammatory phenotype is characterized by marked synovitis and/or joint effusion, while the meniscus-cartilage phenotype exhibits severe meniscal and cartilage damage. Large bone marrow lesions characterize the subchondral bone phenotype. The hypertrophic and atrophic OA phenotype are defined based on the presence large osteophytes or absence of any osteophytes, respectively, in the presence of concomitant cartilage damage. Limitations of the concept of structural phenotyping are that they are not mutually exclusive and that more than one phenotype may be present. It must be acknowledged that a wide range of views exist on how best to operationalize the concept of structural OA phenotypes and that the concept of structural phenotypic characterization is still in its infancy. Structural phenotypic stratification, however, may result in more targeted trial populations with successful outcomes and practitioners need to be aware of the heterogeneity of the disease to personalize their treatment recommendations for an individual patient. Radiologists should be able to define a joint at risk for progression based on the predominant phenotype present at different disease stages.
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Affiliation(s)
- Frank W Roemer
- Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, 820 Harrison Avenue, FGH Building, 4th floor, Boston, MA, 02118, USA.
- Department of Radiology, Universitätsklinikum Erlangen and Friedrich-Alexander University Erlangen-Nürnberg (FAU), Maximiliansplatz 3, 91054, Erlangen, Germany.
| | - Mohamed Jarraya
- Department of Radiology, Massachusetts General Hospital, Harvard University, 55 Fruit St, Boston, MA, 02114, USA
| | - Jamie E Collins
- Orthopaedics and Arthritis Center of Outcomes Research, Brigham and Women's Hospital, Harvard Medical, School, 75 Francis Street, BTM Suite 5016, Boston, MA, 02115, USA
| | - C Kent Kwoh
- University of Arizona Arthritis Center, The University of Arizona College of Medicine, 1501 N. Campbell Avenue, Suite, Tucson, AZ, 8303, USA
| | - Daichi Hayashi
- Department of Radiology, Stony Brook University Renaissance School of Medicine, State University of New York, 101 Nicolls Rd, HSc Level 4, Room 120, Stony Brook, NY, 11794-8460, USA
| | - David J Hunter
- Department of Rheumatology, Royal North Shore Hospital and Institute of Bone and Joint Research, Kolling Institute, University of Sydney, Reserve Rd, St. Leonards, 2065, NSW, Australia
| | - Ali Guermazi
- Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, 820 Harrison Avenue, FGH Building, 4th floor, Boston, MA, 02118, USA
- Department of Radiology, VA Boston Healthcare System, 1400 VFW Parkway, Suite 1B105, West Roxbury, MA, 02132, USA
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