The menisci of the knee are important for distributing load at the knee joint, and meniscal damage has been shown to precede cartilage degeneration in the knee. We examined radial and circumferential meniscal variation in T2, T2* and T1rho relaxation times in osteoarthritic menisci. Menisci were divided into 3 circumferential regions (anterior, body, and posterior) and then further into 3 radial regions (inner, middle, and outer). Significant differences were found between circumferential and radial regions for T2, but only between circumferential regions for T2* and T1rho. Changes in meniscal regional variations could be important in tracking osteoarthritis disease progress.
Five menisci (3-medial and 2-lateral) from total knee arthroplasty patients were frozen in phosphate-buffered-saline with protease-inhibitors and thawed before use. Menisci were embedded in a cylindrical agar mold, which was designed so the long axis of the mold ran parallel to the main magnetic field, and the menisci were aligned as if a patient was lying supine in the scanner to avoid magic angle artifact. Menisci were imaged in a 3.0T scanner (GE Healthcare, Milwaukee, WI) using multi-echo 3D RF-spoiled gradient echo (SPGR), multi-echo spin-echo (cartigram), and T1rho-prepared 3D spin echo (cubequant) (Figure 1). Scan parameters were chosen to allow for short TEs, and long scan-times were used to obtain high SNR.
Meniscal signal was segmented in coronal images from the surrounding agar signal using Amira image analysis software (FEI, Hillsboro, OR). The segmentations excluded meniscal pixels closest to the agar to remove any potential partial-volume artifact from the agar-meniscus interface. A pixel-by-pixel mono-exponential fit was used to determine T2, T2* and T1rho from cartigram, multi-echo SPGR, and cubequant, respectively.
Meniscal segmentations were re-sliced in the transverse-plane and a maximum-intensity projection image was created in this plane. This meniscal maximum-intensity projection was then manually segmented into 9 regions, dividing the meniscus by circumferential regions (anterior, body and posterior) as well as radial regions (inner, middle and outer), as has been previously done3 (Figure 2). This 2D segmentation was then applied to every transverse slice of the 3D volume to divide the meniscus into its 9 regions. To evaluate differences among circumferential and radial regions, quantitative data were analyzed using a two-factor general linear model with p<0.05 and Bonferroni's test for pairwise comparisons.
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