
Suraj D. Serai
VerifiedUniversity of Pennsylvania · Rehabilitation Medicine
Active 2010–2024
Research topics
- Pathology
- Anatomy
- Medicine
- Radiology
- Nuclear medicine
- Biomedical engineering
Selected publications
The QIBA Profile for MRI-based Compositional Imaging of Knee Cartilage
Radiology · 2021 · 92 citations
- Medicine
- Biomedical engineering
- Radiology
MRI-based cartilage compositional analysis shows biochemical and microstructural changes at early stages of osteoarthritis before changes become visible with structural MRI sequences and arthroscopy. This could help with early diagnosis, risk assessment, and treatment monitoring of osteoarthritis. Spin-lattice relaxation time constant in rotating frame (T1ρ) and T2 mapping are the MRI techniques best established for assessing cartilage composition. Only T2 mapping is currently commercially available, which is sensitive to water, collagen content, and orientation of collagen fibers, whereas T1ρ is more sensitive to proteoglycan content. Clinical application of cartilage compositional imaging is limited by high variability and suboptimal reproducibility of the biomarkers, which was the motivation for creating the Quantitative Imaging Biomarkers Alliance (QIBA) Profile for cartilage compositional imaging by the Musculoskeletal Biomarkers Committee of the QIBA. The profile aims at providing recommendations to improve reproducibility and to standardize cartilage compositional imaging. The QIBA Profile provides two complementary claims (summary statements of the technical performance of the quantitative imaging biomarkers that are being profiled) regarding the reproducibility of biomarkers. First, cartilage T1ρ and T2 values are measurable at 3.0-T MRI with a within-subject coefficient of variation of 4%–5%. Second, a measured increase or decrease in T1ρ and T2 of 14% or more indicates a minimum detectable change with 95% confidence. If only an increase in T1ρ and T2 values is expected (progressive cartilage degeneration), then an increase of 12% represents a minimum detectable change over time. The QIBA Profile provides recommendations for clinical researchers, clinicians, and industry scientists pertaining to image data acquisition, analysis, and interpretation and assessment procedures for T1ρ and T2 cartilage imaging and test-retest conformance. This special report aims to provide the rationale for the proposed claims, explain the content of the QIBA Profile, and highlight the future needs and developments for MRI-based cartilage compositional imaging for risk prediction, early diagnosis, and treatment monitoring of osteoarthritis. © RSNA, 2021 Online supplemental material is available for this article. See also the editorial by Kijowski in this issue.
Frequent coauthors
- 48 shared
Hansel J. Otero
- 40 shared
Andrew T. Trout
University of Cincinnati Medical Center
- 28 shared
Sudha A. Anupindi
Philadelphia University
- 27 shared
Takeshi Yokoo
The University of Texas Southwestern Medical Center
- 23 shared
Jonathan R. Dillman
- 22 shared
Diego Hernando
- 21 shared
Daniel J. Podberesky
Florida College
- 21 shared
Juan S. Calle‐Toro
The University of Texas Health Science Center at San Antonio
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