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Repeatability of T1-quantification in dGEMRIC for three different acquisition techniques: two-dimensional inversion
Carl Siversson1, Carl-Johan Tiderius, Paul Neuman
1Department of Radiation Physics, Lund University, Malmö, Sweden. carl.siversson@med.lu.se
Journal of Magnetic Resonance Imaging : JMRI
|May 1, 2010
Summary
Delayed gadolinium enhanced MRI of cartilage (dGEMRIC) shows good repeatability for two T1 quantification techniques (2D-IR and 3D-LL) in osteoarthritis-prone knees. Three-dimensional variable flip angle (3D-VFA) demonstrated lower reliability, highlighting the importance of image positioning for accurate results.
Area of Science:
- Orthopedics
- Radiology
- Biomedical Engineering
Background:
- Osteoarthritis (OA) is a degenerative joint disease.
- Accurate cartilage assessment is crucial for OA management.
- Delayed gadolinium enhanced MRI of cartilage (dGEMRIC) is a quantitative MRI technique for assessing cartilage matrix composition.
Purpose of the Study:
- To evaluate the repeatability of dGEMRIC in osteoarthritis-prone knee joints.
- To compare three T1 quantification techniques: 2D inversion recovery (2D-IR), 3D Look-Locker (3D-LL), and 3D variable flip angle (3D-VFA).
Main Methods:
- Nine subjects with osteoarthritis-prone knees underwent two dGEMRIC scans with a 2-week interval.
- T1 quantification was performed using 2D-IR, 3D-LL, and 3D-VFA techniques.
- Repeatability was assessed using root-mean-square coefficient of variation (CV(RMS)) and intraclass correlation coefficient (ICC) in defined cartilage regions.
Main Results:
- 2D-IR and 3D-LL showed comparable repeatability (CV(RMS) 5.4-8.4%) with moderate reliability (ICC).
- 3D-VFA exhibited higher CV(RMS) (9.3-15.2%) and low reliability (ICC).
- Inter-slice variation for 3D techniques was similar in magnitude to overall repeatability.
Conclusions:
- 2D-IR and 3D-LL are reliable techniques for repeatable dGEMRIC measurements in osteoarthritis-prone knees.
- 3D-VFA is less reliable for dGEMRIC quantification in this context.
- Precise image positioning is critical for achieving reliable dGEMRIC repeatability results.

