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Three dimensional adiabatic T1ρ prepared ultrashort echo time Cones (3D UTE-Cones-AdiabT1ρ) imaging of knee joint degeneration
Mei Wu1,2, Yajun Ma1, Guanyuan Ning2, Saeed Jerban1, Yanping Xue1, Zhao Wei1, Eric Y Chang1,3, and Jiang Du1
1Department of Radiology, University of California San Diego, San Diego, CA, United States, 2Department of Radiology, Guangzhou First People’s Hospital, School of Medicine, South China University of Technology, Guangzhou, China, 3Radiology Service, VA San Diego Healthcare System, San Diego, CA, United States

Synopsis

The three-dimensional adiabatic T1ρ prepared ultrashort echo time Cones (3D-UTE-Cones-AdiabT1ρ) sequence is a novel imaging technique that can provide magic angle-insensitive assessment of proteoglycan depletion in both short and long T2 tissues in the knee joint. We applied this sequence to healthy volunteers and patients with different degrees of OA for a systematic evaluation of its clinical performance. Results showed that the sequence could be used for quantitative evaluation of the knee cartilage degeneration, and that the 3D-UTE-Cones-AdiabT1ρ showed a significant positive relationship with WORMS and KL score,and significant difference in different extent and depth lesions of cartilage.

Introduction

Osteoarthritis (OA) ranks second only to cardiovascular disease as a cause of work-related disability. OA is a whole-organ disease (1,2): the failure of any involved tissues may affect others and thereby contribute to failure of the joint as a whole. Unfortunately, clinical sequences can only assess tissues which have relatively long T2s, such as the superficial layers of articular cartilage. Many joint tissues, including the deep layers of articular cartilage, menisci, ligaments, tendons, and bone have short T2s and show little or no signal with clinical sequences (3-5). Over the past two decades, extensive research in OA has focused on two particular biomarkers: T2 and T1ρ (6-10). The principal confounding factor in T2 and T1ρ measurements is the magic angle effect (11-17). The three-dimensional adiabatic T1ρ prepared ultrashort echo time Cones (3D UTE-Cones-AdiabT1ρ) sequence is a novel imaging technique that can provide effective non-invasive assessment of proteoglycan (PG) depletion in both short and long T2 tissues in the knee joint. And most importantly, AdiabT1ρ is less sensitive to the magic angle effect compared with both T1ρ and T2 relaxations as demonstrated in bovine cartilage studies (18-20). While the 3D UTE-Cones-AdiabT1ρ sequence can potentially be used to evaluate biochemical changes in all major knee joint tissues, in this study we aim to further evaluate its efficacy in assessing cartilage degeneration in healthy volunteers and OA patients.

Method

A total of 66 human subjects (aged 23-88 years, mean age 54±16 years; 34 males, 32 females) were recruited for this study. Written informed consent was obtained from all subjects in accordance with the guidelines of the Institutional Review Board. The whole knee joint (27 left knees, 39 right knees) was scanned using various 3D UTE-Cones sequences on a 3T MR750 scanner (GE Healthcare Technologies, Milwaukee, WI). An 8-channel knee coil was used for signal excitation and reception. The imaging protocol included B1 mapping with 3D UTE-Cones actual flip angle imaging (AFI), T1 mapping using a UTE-AFI variable flip angle (UTE-AFI-VFA) approach, and AdiabT1r imaging using the 3D UTE-Cones-AdiabT1ρ sequence with T1 correction. Imaging parameters for the fat-saturated 3D UTE-Cones-AdiabT1ρ sequence were: repetition time (TR)=500 ms; flip angle (FA)=10°; acquisition matrix=256×256×36, the number of spiral spokes (Nsp) per adiabatic IR preparation=25; and pairs of adiabatic IR pulse (NIR)=0, 2, 4, 6, 8, 12, and 16. Radiography and clinical T2- and PD-weighted images were also obtained for Kellgren–Lawrence (KL) scores (21) and Modified Whole-Organ Magnetic Resonance Imaging Scores (MWORMS) (22). All subjects were classified into three groups according to the KL score: 20 normal controls (KL= 0), 28 patients with mild osteoarthritis (OA) (KL≤2), and 18 patients with more advanced OA (KL≥3). Subjects were further divided into two respective subgroups according to the extent and the depth of cartilage lesions. The extent groupings included WORMS 0=controls, WORMS 1, 2, 2.5= regional lesions, and WORMS 3, 4, 5=diffuse lesions, while the depth groups included WORMS 0=controls, WORMS 1, 2, 3, 4=partial thickness lesions, and WORMS 2.5, 5=full-thickness lesions. Articular cartilage was divided into 13 subregions. The respective correlations between 3D UTE-Cones-AdiabT1ρ values and both KL scores and WORMS were analyzed.

Results

The Spearman correlation coefficient showed a positive relationship between the UTE-Cones-AdiabT1ρ values and the corresponding KL scores and WORMS (P<0.001). The UTE-Cones-AdiabT1ρ value of cartilage was 37.3±5.45 ms in normal controls, 39.1±6.46 ms in mild OA, and 39.0±6.42 ms in severe OA. Table 1 shows the values of UTE-Cones-AdiabT1ρ in different WORMS, while Figure 1 shows the boxplot of UTE-Cones-AdiabT1ρ values in different WORMS groups. Figure 2 shows representative UTE-Cones-AdiabT1ρ fitting of the femoral condyle, where the normal femoral condyle showed a UTE-Cones-AdiabT1ρ value of 32.3±3.7 ms and the abnormal femoral condyle showed a UTE-Cones-AdiabT1ρ value of 40.8±5.6 ms. Differences in the UTE-Cones-AdiabT1ρ values among KL groups (i.e., controls vs. mild OA, controls vs. severe OA) were statistically significant (P<0.001), but the difference between mild OA and severe OA was not significant. The UTE-Cones-AdiabT1ρ values were significantly different among WORMS groups (P<0.001). UTE-Cones-AdiabT1ρ differences among different extent groups of cartilage lesions (i.e., controls vs. regional lesions, controls vs. diffuse lesions, regional lesions vs. diffuse lesions) were statistically significant (P<0.05). For different depth groups, the difference between controls vs. partial thickness lesions, controls vs. full-thickness lesions, and partial thickness lesions vs. full-thickness lesions were all statistically significant (P<0.001). Figures 3 and 4 show the boxplot of UTE-Cones-AdiabT1ρ values in different WORMS extent groups and depth groups.

Conclusion

The 3D UTE-Cones-AdiabT1ρ sequence allows quantitative imaging of articular cartilage in the knee joint. The 3D UTE-Cones-AdiabT1ρ values are positively correlated with WORMS and KL scores, significantly different between partial thickness lesions and full-thickness lesions of cartilage, and significantly different between regional lesions and diffuse lesions in articular cartilage of the knee joint.

Acknowledgements

The authors are thankful for support from NIH (R01AR075825, R01AR062581, and R01AR068987), Veterans Affairs (I01RX002604 and I01CX001388), and GE Healthcare.

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Figures

Table 1. Mean UTE-Cones-AdiabT1ρ (ms) in different WORMS groups

Figure 1. Boxplot of UTE-Cones-AdiabT1ρ values in different WORMS groups

Figure 2. Excellent T1ρ modeling is achieved for both normal cartilage (A, C) (T1ρ=32.3ms) and abnormal cartilage (B, D) (WORMS=2, T1ρ=40.8ms).

Figure 3. Boxplot of UTE-Cones-AdiabT1ρ values in different WORMS extent groups

Figure 4. Boxplot of UTE-Cones-AdiabT1ρ values in different WORMS depth groups

Proc. Intl. Soc. Mag. Reson. Med. 29 (2021)
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