Quantitative evaluation in combination with nonquantitative evaluation in early patellar cartilage osteoarthritis at 3.0 T
Houdong Zuo,1 Weiwu Yao,1 Nan Qu,1 Shixun Yang,1 Jianhua Wang,2 Xiaojiang Cui3
1Department of Radiology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, People’s Republic of China; 2Department of Orthopedics, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China; 3Department of Surgery, Department of Obstetrics and Gynecology, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
Purpose: To evaluate quantitative T1 and T2 relaxation times and magnetization transfer ratios (MTRs) in the early diagnosis of patellar cartilage osteoarthritis (OA) and to quantify and possibly refine the current Kellgren-Lawrence score criteria.
Materials and methods: A total of 92 cases of knee joints with 40 normal volunteers and 30 patients with OA were prospectively evaluated. The knee joints with OA were divided into mild and moderate groups according to the Kellgren-Lawrence score criteria. The discriminative analysis method was used to analyze the accuracy of the original grouped cases correctly classified by age, sex, T1 relaxation times, T2 relaxation times, and MTR values. Linear regression analysis was used between T1 relaxation time, T2 relaxation time, and MTR values.
Results: The mean T1 relaxation times decreased with the severity of OA, and a significant difference was only found between the normal and moderate OA groups (P<0.05). The mean T2 relaxation times increased, and significant differences were found between the normal and mild OA groups and the normal and moderate OA groups (P<0.001). The MTR values were 35.8%±4.2%, 36.1%±3.2%, and 35.4%±3.8%, respectively. There were no significant differences between the normal and OA groups. In addition, T1 relaxation times were positively correlated with MTR values (P<0.01). A discriminative analysis using a synthesis of all the influential factors indicated a high accuracy rate (93.9%) for the correct classification of the original grouped cases.
Conclusion: Quantitative T1 and T2 relaxation times were useful in the diagnosis of early OA; T2 relaxation times were more relatively sensitive. The functional usefulness of MTR values may be limited. T1 relaxation times positively correlated with MTR values. Multiple quantitative parameters, combined with some relative nonquantitative clinical parameters and Kellgren-Lawrence scores, may be useful in the early stage of OA and provide better information for clinical treatment and follow-up.
Keywords: osteoarthritis, patellar cartilage, magnetic resonance imaging, T1 relaxation time, T2 relaxation time, MTR, age, sex
Osteoarthritis (OA) is one of the most common musculoskeletal diseases. It produces a series of clinical symptoms including pain, dysfunction, joint deformity, and even joint stiffness and rigidity, and it affects millions of individuals.1,2 In the development process of OA, articular cartilage changes play a key role, such as the loss of hyaline articular cartilage and the degradation of proteoglycans (PGs).1,3,4 The cartilage consists of water, low-density chondrocytes, and a large amount of extracellular matrix.5 The matrix contains water and a cross-linked matrix with PGs and type 2 collagen fibers, and PGs consist mainly of glycosaminoglycans (GAGs). Articular cartilage is divided into four zones, superficial, intermediate, deep, and calcified, from the surface to the inner bone. Some researchers have reported that the depletion of PGs and the breakdown of collagen fibers with early OA are possibly involved with the composition and structure of the superficial cartilage.6–9 Biochemical alterations to the articular cartilage are more likely to occur before morphologic degradation. Therefore, early diagnosis of OA is important for clinical treatment. As a consequence, the quantitative evaluation of the biochemical compositional changes of cartilage is valuable for the early diagnosis of OA.
Magnetic resonance imaging (MRI) is a noninvasive and useful protocol that is sensitive and can detect the composition changes of cartilage degeneration.8–10 Several MRI techniques are available, including delayed gadolinium-enhanced MRI of the cartilage (dGEMRIC), T2 mapping, magnetization transfer (MT) imaging, T1ρ imaging, and sodium MRI.11–14 dGEMRIC is widely applied to detect the changes of GAGs with abundant negative-charge side chains that provide a negative fixed-charged density to the cartilage in the early stage of OA. Gd-DTPA2- is a type of agent contrast with negative charge distributing in an opposite manner, with the GAGs in the cartilage. In normal cartilage, Gd-DTPA2- is repelled by the GAGs; in contrast, under the conditions of GAGs loss, more Gd-DTPA2- will be distributed within the cartilage matrix.8,11,15,16 T2 mapping is also widely used and has been proven to be more sensitive to collagen changes in the cartilage.8,13,17 The MT imaging technique is now accepted and used in articular cartilage. MT is tissue-specific and also can provide quantitative data.18–21 Nevertheless, MT imaging is still not widely used in articular cartilage studies. T1ρ can reflect the changes of GAGs and collagen, but several factors may affect the T1ρ, leading to variations of T1ρ.12,13,22 T1ρ has the drawback of relatively high specific absorption rate problems and potential tissue-heating effects. Sodium MRI provides an additional technique for quantifying the biochemical compositions of cartilage on the basis of similar principles to dGEMRIC; however, it is difficult to produce an magnetic resonance (MR) signal with sodium because 23Na ions exist at much lower concentrations than 1H ions within the body, which limits their application in cartilage.23
The use of a panel of biomarkers for quantification is certainly the next step in quantitative MRI. Thus, in this study, the quantitative parameters of T1 and T2 relaxation times were evaluated. Moreover, the quantitative parameters and nonquantitative factors were also investigated. Using this method, the current nonquantitative Kellgren-Lawrence (K-L) score criteria were expected to be quantified and refined. To our knowledge, this was the first study examining these particular evaluations.
Materials and methods
A total of 36 men and 34 women with a total of 92 knee joint cases were enrolled in this study. Written informed consent was obtained from all the participants before the study, according to the requirements of the review board of Shanghai Jiao Tong University, Affiliated Sixth People’s Hospital. The participants consisted of 40 volunteers with a mean age of 27.6±11.5 years (range, 14–61 years), 16 patients with mild OA with a mean age of 47.8±11.2 years (range, 26–71 years), and 14 patients with moderate OA with a mean age of 61.0±7.3 years (range, 50–80 years). Total knee joints were evaluated with a 3.0 T MR imaging spectrometer between December 2012 and July 2013 and were categorized by radiographs and clinical history.
Inclusion criteria for the normal volunteer group were no history of severe trauma and surgery, Western Ontario and McMaster Universities OA index24 score lower than 10 points, and a body mass index ranging from 18 to 25 kg/m2. Exclusion criteria were knee joint pain or discomfort, contraindications, and severe cardiovascular or mental diseases with MRI examinations.
As in earlier surveys OA was divided into five grades, as follows: none (0), doubtful (1), minimal (2), moderate (3), and severe (4).25 In a previous study by our team, Yao et al26 investigated the application of T1 relaxation time, T2 relaxation time, and magnetization transfer ratios (MTR) in the early diagnosis of patellar cartilage OA. A small number of cases was involved, so further research with a larger number of participants was necessary for reproducibility. In this study, the inclusion criteria for mild OA patients were K-L grades 1 and 2, and for moderate OA, K-L grade 3. The severe OA group (K-L grade 4) was not enrolled into our study because of severe depletion of PG and collagen, dehydration, extensive fibrillation, and denudation of the subchondral bone, which would greatly influence the results.5,6,27
MR imaging protocols
All patients were examined in a Philips Achieva 3.0 T superconducting MR scanner (Koninklijke Philips NV, Amsterdam, the Netherlands) with an eight-channel high-resolution knee joint coil in the study. The T2W sampling array used an eight-echo spin-echo (SE) sequence. The relative parameters were as follows: repetition time (TR), 2,100 ms; echo time (TE), 15~130 ms; slice thickness, 3 mm; field of view (FOV), 16 mm; matrix size, 332×273; startup echoes, 1; and scanning time, 5 minutes. Sagittal and axial short-time inversion recovery (TR/TE =3,000~4,000 ms/41.3~48 ms; inversion time (TI), 150 ms), T1-weighted fast SE sequences (TR/TE =500/20 ms), and T2-weighted fast SE sequences (TR/TE =3,890/100 ms) were used. The morphology and patellar cartilage signal characteristics were evaluated.
All images were sampled simultaneously and processed at a workstation (ADW 4.0; GE Healthcare Bio-Sciences Corp., Piscataway, NJ, USA) with equipped software (Philips). The cartilage contour in the central plane axial view was outlined manually three times, and the mean T2 relaxation time was also measured three times.
Magnetization transfer images and MTR values were obtained using a three-dimensional dynamic gradient echo sequence. The main parameters included a deviation frequency of 1,100 Hz, a radiofrequency angle of 520°, a TR of 66 ms, a TE of 3.8 ms, a slice thickness of 1 mm, a FOV of 16 cm, a matrix size of 160×132, and a scanning time of 1 minute 37 seconds. The cartilage contour in the central plane axial view was outlined, and the MTR values were measured three times.
For dGEMRIC assessment, the subjects were injected intravenously with 0.2 mmol/kg Gd-DTPA2- contrast agent (Magnevist®; Bayer Schering Pharma AG, Berlin-Wedding, Germany) and asked to walk or perform some exercises for 10 minutes to aid the in diffusion of the contrast agent into the cartilage. After 1.5 hours of Gd-DTPA2- administration, the three-dimensional look locker pulse sequence technique was applied to each knee joint. Each reverse recovery curve collected 30 TI, and central phase encoding was applied for each slice. The first TI was 60 ms, and the other TI times were 60 ms + TR n #slice, n=1–29.26 Other parameters include the following: TR, 20 ms; TE, 3.9 ms; FOV, 16 cm; matrix size, 152×115; α, 10°; bandwidth, 189.1 KHz; and scanning time, 6 minutes and 30 seconds plus. These data were sent to the workstation (ADW 4.0), and colorful T1 images were produced, using Philips T1 imaging software. The central plane contour of the patellar cartilage was outlined, and the mean T1 relaxation time was measured.
Continuous variables are presented as mean ± standard deviation. Quantitative evaluation was processed with one-way analysis of variance.
Categorical variables were analyzed with a chi-squared test. Multivariate analysis with a linear regression model (correlation among T1 relaxation time, T2 relaxation time, and MTR values) was performed. The canonical discriminant function, which was expressed as Ukm(X)=u1X1km+u2X2km+...uiXikm+a=u′X, was used, where u=(u1,u2,...,ui )′ are the discriminative coefficients that produce the desired characteristics of the function, Ukm is the value (score) of the canonical discriminant function for case m in group k, Xikm is the value for the discriminating variable Xi for case m in group k, and a is a constant. The formula is based on the principle that a batch of samples is classified into the appropriate group according to the calculated scores. The discriminant score is a weighted linear combination (sum) of the discriminating variables. All tests for statistical significance were two-tailed, with an α level of 0.05. All analyses were conducted with SPSS 19.0 software for Windows (IBM Corporation, Armonk, NY, USA).
On dGEMRIC, the normal cartilage located between the red and orange color steps was integrated, and the signal was homogeneous (Figure 1A). The morphology with mild OA was similar to the normal cartilage; where the signal was slightly heterogeneous, a bronze color appeared (Figure 1B). The moderate OA cartilage was localized and thin, with a crimson or bronze abnormal signal in the cartilage. The joint space was mildly narrow (Figure 1C).
On the T2 mapping and Magnetization Transfer Contrast (MTC) images, the normal cartilage contour was integrated and continuous, without marked thinness. The signal was homogeneous, and the joint space was normal (Figure 2A and Figure 3A). With mild OA cartilage, the cartilage was still integrated and continuous, without marked thinness. However, some patchy or mottled low-signal areas appeared (Figure 2B, C and Figure 3B). The joint space was normal or doubtfully narrow, whereas localized thin and irregular morphology could be found in the cartilage with moderate OA. The signal was heterogeneous and patchy, and striped lower-signal areas appeared in the center or the lateral sides of the cartilage (Figure 2D–F and Figure 3C). The joint space was mildly or moderately narrow.
Evaluation of T1 relaxation times
The mean T1 relaxation times of the normal, mild OA, and moderate OA groups were 481.7±66.9, 478.3±64.5, and 407.0±42.3 ms, respectively. With the worsening degeneration of articular cartilage, the T1 relaxation times became lower. The values dropped drastically between the mild OA group and the moderate OA group. Significant differences were found only between the normal and moderate groups (P<0.05). No significant differences were found in the other two combinations (P>0.05; Table 1). These results suggest that T1 relaxation times were sensitive to the changes of GAGs in the moderate stage of OA.
Evaluation of T2 relaxation times
The mean T2 relaxation times of the normal, mild OA, and moderate OA groups were 47.3±4.5, 51.1±6.9, and 53.9±9.2 ms, respectively, measured on T2 mapping. T2 relaxation time increased with the degree of OA, and the mild OA and moderate OA groups displayed significant differences with the normal group (P<0.001), but no significant difference was found between the mild and moderate OA groups (P>0.05; Table 1). This demonstrates that the T2 relaxation times could sensitively reflect the early changes of collagen and are thus useful in clinical treatment.
Evaluation of MTR values
The mean MTR values of the normal, mild OA, and moderate groups were 35.8%±4.2%, 36.1%±3.2%, and 35.4%±3.8%, respectively. No significant differences were found among these three groups regarding the mean MTR of patellar cartilage at the central plane (P>0.05), with one-factor analysis of variance. In addition, no great variation appeared with an increased degree of OA. The mild OA group had a slightly higher value than that of the normal group, whereas the moderate OA group value was slightly lower than the normal and mild OA group values (Table 1). These results may indicate that MTR has some limits in the evaluation of early OA.
Correlation among the quantitative parameters
We also compared the correlation among these three quantitative parameters with a linear regression model and found that T1 relaxation times had a significant positive linear correlation with MTR values (P<0.05), which indicates that the lower T1 relaxation time was related to the decreased MTR values, although there was no tendency toward a decrease in MTR values (Tables 2 and 3).
Table 2 Multivariate analyses for factors influencing magnetization transfer ratio with linear regression analysis
Table 3 The correlations among all the influencing factors with Pearson correlation analysis
Accuracy rate of the original grouped cases correctly classified, with discriminative analysis
In this study, we used the quantitative parameters of T1 relaxation times, T2 relaxation times, and MTR values plus the factors of age and sex to analyze the accuracy of the correct classification (%) of the original grouped cases based on nonquantitative K-L grade criteria. The highest accuracy reached 93.9% when all the factors of T1 relaxation time, T2 relaxation time, MTR values, age, and sex were taken into consideration. The result indicated that the application of these quantitative parameters in OA could quantify the K-L criteria. What is more important is that some quantitative indexes could be applied in clinic. We also could see that the factors of T1 relaxation time and sex were dominant. In clinical settings, we can use these parameters and factors in combination with K-L score criteria to evaluate early OA (Table 4). In addition, the current nonquantitative K-L score criteria can be refined, and new and quantitative criteria could be proposed (Table 5). The highlight of these new criteria is to enable the quantitative evaluation of normal and OA cartilage in the clinic. In this way, more useful information is offered for clinical treatment and follow-up visits with OA patients.
Table 4 Accuracy rate of the original grouped cases correctly classified (%) with discriminative analysis
Table 5 Hypothetical quantitative and refined grades of osteoarthritis based on the present study
In this study, three types of MR techniques were applied in combination. T1 and T2 mapping are currently widely used and have proven to be important in the evaluation of cartilage, but the MT technique has been relatively less studied. Therefore, the trial with three different techniques in this study was relatively novel and encouraging. We found that T1 and T2 relaxation times were useful in the diagnosis of early OA, and T2 relaxation times were relatively more sensitive. The usefulness of MTR may be limited. We also used the quantitative parameters and some relevant patient information to quantify and refine the current K-L score criteria. In addition, we also found the T1 relaxation times and MTR values correlated positively well, which is a new discovery.
T2 relaxation times are related to the loss speed of phase coherence and reflect the specificity of the tissue by describing the attenuation of transverse magnetization and the MR signal of the tissue.28 At this time, T2 relaxation mapping is a commonly used tool and has become a noninvasive biomarker to detect early cartilage degeneration, mainly including collagen matrix disarrangement and water increase in cartilage.29,30 In the early stages of OA, the matrix begins to break down and the water increasingly permeates the cartilage, leading to the enhancement of T2 relaxation times.31 In recent studies, some researchers have reported that T2 relaxation times might also be sensitive to PG content,32–34 but the sensitivity of T2 to collagen is well-recognized.
Mosher et al30,35 report that the changes in age-related T2 relaxation may be related to senescent denaturation of the collagen fiber matrix. Cartilage changes in early OA may occur primarily and mainly in the superficial layer, where the collagen matrix first degenerates.36 Kim et al37 report T2 mapping was correlated with histological degeneration, so T2 mapping may be a good biomarker for OA in human articular cartilage and may be more appropriate for the initial diagnosis of articular cartilage degeneration in the knee joint. Established animal models and in vivo studies have demonstrated that T2 values increase with severe cartilage damage or degeneration.13,17,38
Dunn et al39 report significant differences between normal groups and mild or severe OA groups; however, there was no significant difference between the mild and severe OA groups. Prasad et al40 found that T2 values become higher with the progression of knee OA, but no significant differences in T2 values were found when assessing the progression cohort subgroups with incident lesions and mild and severe progression of preexistent cartilage defects. Regatte et al22 report that the range of T2 values varied from 32±2 to 45±4 ms and increased with different grades of OA; however, no great differences between OA groups were demonstrated. We had similar results, but the T2 values or T2 value ranges were not identical (Table 1).13,22 The explanation might be that the underlying cartilage changes mainly occurred early in the development of the disease and did not progress as much as mechanical degradation of the cartilage. Furthermore, the K-L score criteria had some limitations.41 Compared with our previous results, T2 values differed slightly.26 We conclude that T2 relaxation time was sensitive in the detection of the early stage of OA, which involves the primary degeneration of collagen.
The dGEMRIC technique was also applied in our study, which uses the principle of fixed-charge density and proved to be relatively sensitive to the change of GAGs in cartilage.9,11 Within the cartilage, the contrast agent and GAGs interacted and the contrast agent was distributed in an inverse relationship with GAGs. The negatively charged Gd-DTPA2- accumulates with high concentration in areas where there is low GAG content. This leads to reduced T1 relaxation time; therefore, T1 relaxation time was used as a quantitative reflection of GAG content in this study. The GAG concentration in the articular cartilage was not consistent, displaying zonal organization with a decrease in GAG content from the deep to the superficial layers of the cartilage.9,16 Bashir et al9 report that T1 relaxation changes distinctly if the GAG content is reduced by 50%.
In our study, the T1 relaxation times of the three groups (normal, mild OA, and moderate OA) were 481.7±66.9, 478.3±64.5, and 407.0±42 ms, respectively, and we found that T1 relaxation times decreased with the worsening of OA (Table 1). These results indicate that the loss of GAGs increased with the aggravation of cartilage degeneration. Similar results were found in some previous studies.16,26 A significant difference was only found between the normal and moderate OA groups. Our data for abnormal cartilage relaxation times were different from those of previous reports.16,42 There are several possible reasons, such as that more accurate T1 relaxation times were obtained with a higher field intensity; that there are differences in contrast administration and imaging protocol, such as the dose of contrast agent and the interval between contrast administration and image acquisition; that there are differences in the mathematical formulae or the parameters of the applied sequence; and that the GAG concentration in cartilage was not uniform, and thus, measurement differences or errors were inevitable.
The GAG content in cartilage was related not only to the cartilage quantity but also to the cartilage quality.43 In the mild OA group, the changes of cartilage quantity and cartilage quality may not be great, so the accompanying loss of GAGs was also minimal. A balance between the presence of PG and the rigid collagen network plays a key role in normal cartilage, and insufficient viscoelasticity resulting from low GAG content in the cartilage matrix may cause collagen loss.44 In the mild OA group, the balance was neither destroyed nor in the compensated stage, so the T1 relaxation times were slightly lower than those of the normal cartilage. However, the balance was broken in the late stage of the moderate OA. The reasons mentioned previously may explain why there was no significant difference between the mild OA and normal groups. The relatively small amount of study data is another possible factor. Thus, further investigation is encouraged.
The MT imaging technique is currently a valuable tool for providing the structure and biochemical compositions of cartilage in vivo.18–21 The principle of MT’s effects is based on the interaction of the free (unbound) water pool and the bound proton pool. The majority of studies report that the collagen component is the most important contributor to the MT effect,18–21,45 but Gray et al45 also have reported that MT value changes may be a result of physiological or pathophysiological changes in GAG concentration and tissue structure.
Regatte et al46 report that MTR in bovine patellar cartilage was depth-dependent and was higher in the radial zone. They also explain that the high MTR not only depended on collagen content but may also reflect a number of other parameters.46 In our study, the MTR values were 35.8%±4.2%, 36.1%±3.2%, and 35.4%±3.8%, respectively, which are similar to the MTR values in normal cartilage reported by Palmieri et al19 and Welsch et al21 but far different than the reported values of 85%–86%, ±1%, by Stanisz et al47 and Yao et al26 (Tables 1 and 2). In our present study, no significant differences were found among these three groups regarding MTR (Table 2), which is similar to in Welsch et al21 who considered that T2 decreases with T1 increases may counterbalance their effects on the MT contrast achieved with Steady-State Free Precession at 7 T. The changes in MTR likely reflect the changes in collagen structure, rather than collagen concentration.48 In addition, MTR is susceptible to many factors, such as deviation frequencies, radio-frequency angles, and field intensities. All the influential factors may result in small discrepancies of MTR and may limit its application in cartilage degeneration evaluation. Further studies on the MT technique are needed.
An interesting finding in our study was the positive correlation between T1 relaxation times and MTR values (Tables 2 and 3), although MTR values differ slightly from each other. In our study, to minimize the effect on MT, we chose the proton-density gradient echo sequence for MTC examination, which has been previously recommended.49 The results of the present study suggest that the decrease of GAGs on dGEMRIC could also theoretically be reflected on MT imaging, although MTR values changed very slightly. In the cartilage, interchain interactions between the two main compositions of collagen and PGs are possible, and the contributions from PG or other noncollagenous macromolecule content may affect the MT ratios in cartilage structures.50 Ahn et al51 report that three-dimensional MTC had higher specificity in the detection of grade 3 lesions. Koskinen et al52 report that there was a positive correlation between histologically graded cartilage degeneration and T1 relaxation times through a study of 23 cadaveric patellae, and that no correlation was found between cartilage damage and T2 relaxation times. However, the MTR values were influenced by many factors, which contributed to small variations. Therefore, correlation between the T1 relaxation times and MTR values is possible, and we may postulate that MTR can reflect not only the collagen concentration and structure changes but also the PG content changes in cartilage. Thus, the correlation could possibly be accounted for. The degeneration of cartilage is a complicated and chronic process, and some of the details and exact mechanisms are still unknown and require further exploration.
At this time, the K-L score criteria provide a nonquantitative OA division25 based on radiological features such as the formation of osteophytes on the joint margins, periarticular ossicles, narrowing of joint cartilage associated with sclerosis of subchondral bone, and so on. Lack of the quantitative evaluation between normal and OA cartilage is a limitation. Therefore, the pursuit of the combination of quantitative evaluation with K-L scores in the application of early OA is novel and helpful. Thus, in the present study, the application of quantitative parameters with the factors of age and sex to calculate the accuracy of original grouped cases correctly classified with discriminative analysis was investigated. The results were satisfactory, and accuracy rate was high, reaching 93.9%. As seen in Table 4, accuracy was influenced by many factors, including age, sex, T1 relaxation time, T2 relaxation time, and MTR. An interesting finding is that the factors T1 relaxation and sex played the main role (Table 4). Here, the factor of sex should be emphasized. In the process of OA, sex played an important role, and the female predisposition toward knee OA may, at least in part, be a result of sex differences in cartilage. Even before the onset of clinical knee disease, women display more severe knee degeneration than men.53–55 Our results are consistent with previous reports and reconfirm the importance of sex in the development of OA.
The highlight of this study is the combination of the quantitative and nonquantitative evaluation of cartilage. We could possibly conclude that quantitative evaluation with reference to the current K-L score criteria and some relevant patient information may be useful in clinical evaluation in early OA. On the basis of our data, the aim to quantify and refine the current K-L score criteria was expected to be achieved. Thus, we proposed a quantitative and refined grade (Table 5), in which the current K-L score criteria with some quantitative parameters and relative information were newly enrolled. Thus, the superiority of the new hypothetical quantitative and refined grades over the current K-L score criteria is the realization of the quantitative evaluation of the cartilage. The new grade application is expected to provide effective aids in diagnosis, monitoring the changes of the illness and treatment options.
Another significant point is that the present study results can supplement the current three semiquantitative scoring systems used for whole-organ assessment of knee OA: the Whole-Organ Magnetic Resonance Imaging Score,56 the Knee Osteoarthritis Scoring System,57 and the Boston Leeds Osteoarthritis Knee Score.58 The main items of the three methods include cartilaginous defects, osteophytes, marrow abnormality, and other such factors, but the methods lack quantitative evaluation and clinical information enrollment, such as that of age and sex.
However, in this study, lack of a severe OA group and lack of age-matched controls were primary limitations. The results may be improved with higher magnetic field intensity. We will continue with further research to perfect our study.
In summary, T1 relaxation time and T2 relaxation time are useful biomarkers of early OA. In addition, T2 relaxation time is relatively more sensitive. The usefulness of MTR is relatively limited in the present study, but that situation may change with further studies. Multiple quantitative parameters combined with some relative nonquantitative clinical parameters of patients and K-L score criteria may be useful in the evaluation of early stage of OA in the clinic and may lay the foundation for clinical treatment and follow-up. In addition, the positive linear correlation between T1 relaxation time and MTR may be a useful finding.
The authors thank Dr Li Chao for her statistical support in the understanding of this paper.
This study was supported by a grant from the National Natural Science Foundation of China (no. 81171312).
The authors report no conflicts of interest in this work.
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