Fast dual-echo estimation of apparent long T2 fraction using ultrashort echo time magnetic resonance imaging in tibialis tendons and its osteoporosis-related differences in women
Introduction
Tendon and bone are complementary tissues that comprise a critical interrelating unit for body movement and autonomy (1). In such a mechanical unit, bone performs as a lever for skeletal muscle force transferred by the tendon. The generated force by muscle contractions is applied to bone (1,2) and tendon (3) and influences their strength and microarchitecture. For example, Chen et al., have shown that bone mineral density significantly correlates with the tendon’s mechanical strength in rabbit model (4). Besides the mechanical connections, biochemical and metabolic interactions between bone and tendon significantly impact their quality and function (5). Systemic anabolic and catabolic hormone levels and molecules as well as the inflammatory cytokine activity can affect cell activity in both tendon and bone (6-9).
Bone loss in osteoporosis (OPo) which define as Dual-Energy X-ray Absorptiometry (DXA) T-scores below −2.5 and in its earlier stage disease, osteopenia (OPe) which define as DXA T-scores between −2.5 and −1 in the clinical approaches, may be linked with the tendon quality decline (7,10-12). Evaluation of the quality of tendons during the disease progression using quantitative noninvasive methods is of critical interest to the research community. Such evaluations of tendons can help to enhance our understanding of OPo and may eventually improve the management and treatment of the disease.
The gold standard for confirming tendinopathy in the anterior tibialis tendon (ATT) would be ultrasonography, because of its accessibility and affordability (13,14). However, for the posterior tibialis tendon (PTT), ultrasonography may encounter challenges due to the tissue depth and bone proximity.
Magnetic resonance imaging (MRI) is regularly used for the diagnosis of frank tendon tearing (10,11,15), but clinical MRI techniques encounter challenges in the detection of more subtle abnormalities (16-18). Intact tendons possess very short spin-spin (T2) relaxation times due to highly organized collagenous matrix (16). When imaged using conventional MRI sequences, the resultant low signal-to-noise ratio precludes the accurate differentiation between healthy tendons and grossly intact but abnormal tissue (19).
Contrary to conventional MRI sequences, ultrashort echo time (UTE) MRI techniques can detect a considerable signal from both the short T2 (e.g., bound water to tendon fibers) and long T2 (e.g., free water and potential endotenon fat) components in tendons (16). Consequently, UTE-MR imaging is capable of providing robust image-based biomarkers for quantitative of tendon assessment (16,20-22). The quantitative ultrashort echo time MRI (UTE-MRI)-based evaluation of tendons in clinical studies has been challenging partly caused by the high cost and time demands of MRI in general. Therefore, developing more rapid quantitative UTE-MRI techniques is expected to facilitate the inclusion of UTE sequences in clinical studies for tendon evaluation.
The fraction of the long T2 component (Frac-LongT2) in tendons can be calculated by the signal ratio in dual-echo UTE imaging (23) which is a remarkable example of rapid UTE-based techniques which can be performed in less than 5 minutes. As mentioned, the UTE sequence [TE~ several to tens of microseconds in Cones three-dimensional (3D) UTE] can detect signals from the short T2 and long T2 components in tendons. However, similar acquisition at 2.2 ms mostly detects the long T2 components of the tendons. Specifically, the short component T2* from previous bicomponent fitting analyses ranges between 0.6 to 1.8 ms. Considering an average short component T2* of 1.2 ms (mean of 0.6 and 1.8) (21,24-28). However, similar acquisition at 2.2 ms mostly detects the long T2 components of the tendons. Specifically, the short component T2* from previous bicomponent fitting analyses ranges between 0.6 to 1.8 ms. Considering an average short component T2* of 1.2 ms (mean of 0.6 and 1.8). These phenomena are anticipated to occur with aging and with potential tendon degeneration which may be associated with the progression of bone disease (4).
The objective of this study is to investigate the differences in apparent long T2 signal fraction (aFrac-LongT2) of the ATTs and PTTs, between female OPe patients, OPo patients, and subjects with normal bone (Normal). We present this article in accordance with the STROBE reporting checklist (available at https://qims.amegroups.com/article/view/10.21037/qims-23-1341/rc).
Methods
Participants’ recruitment
Female patients were exclusively enrolled in this study as it is well known that there are sex-based differences in tendon and bone biology (29-31). Fourteen female patients with OPe (72±6 years), thirty-one female patients with OPo (73±6 years), and thirty female subjects with normal bone (Normal, 35±18 years), were recruited. The participants were recruited using flyers distributed in flyers in Radiology, Orthopedics, and Endocrinology clinics at the University of California, San Diego. All individuals must be willing and able to complete 1 hour MRI in the supine position. Individuals with trauma and significant leg and hip injuries within the past 12 months were excluded. The inclusion criteria for each group were as follows: (I) Normal group: pre-menopausal female subjects under 40 years of age or post-menopausal female subjects with a recent T-score above −1; (II) OPe group: post-menopausal female patients with T-scores between −2.5 and −1; and (III) OPo group: post-menopausal female patients with T-scores below −2.5. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The study was approved by the institutional review board (IRB) of the University of California, San Diego (No. 151622), and written informed consent was taken from all individual participants.
UTE-MRI scanning
The lower leg of each participant was scanned on a 3T MRI (MR750, GE Healthcare Technologies, WI, USA) machine using a standard 8-channel (transmit/receive) knee coil. All healthy volunteers ambulatory leg laterality was self-selected. For post-menopausal patients, the leg selection had to match the available side in the hip DXA scan reports, however for patients with both sides DXA reports, the most affected side was selected. The subjects were examined in a feet-first supine position with fully extended knee joint. A cushion was placed outside the coil under the calcaneus after the most comfortable flexion and rotation angle of the ankle joint were decided by the subjects. The imaging slab was centered in the midshaft of the tibia. A non-fat sat dual-echo 3D UTE Cones sequence employs a short rectangular excitation pulse (duration =150 µs) followed by 3D spiral trajectories (conical shape) for k-space acquisition (repetition time =100 ms, TE =0.032 and 2.2 ms, flip angle =45°, bandwidth =125 kHz) was performed for aFrac-LongT2 measurement, which is equal to the 2nd TE signal divided by the UTE signal. The field-of-view (FOV), number of slices, in-plane matrix dimension and slice thickness were 14 cm, 24, 160×160, and 5 mm, respectively. The scan time was approximately 5 minutes.
Mean aFrac-LongT2 was calculated within regions of interest (ROIs) covering the ATTs and PTTs selected by three experienced MRI data analysts using the Image Processing Toolbox in MATLAB software (version 2021, Mathworks, Natick, MA, USA). The selected ROIs were used to calculate the cross-sectional area of the tendons by counting the covered pixels. For quality control purposes, the ATT and PTT boundaries selected for the first five datasets by the readers were confirmed by a board-certified musculoskeletal (MSK) radiologist. Intraclass correlation coefficients (ICCs) were calculated for aFrac-LongT2 and CSA across all data analyzed by the three independent readers. The readers had one to three years of experience in MRI image reading.
Statistical analysis
The one-sample Kolmogorov-Smirnov test results suggested that the aFrac-LongT2 was not normally distributed, therefore the one-way Kruskal-Wallis test by ranks was used to examine the differences in ATTs and PTTs between the three participating groups (Normal, OPe, and OPo). P values below 0.05 were considered as significant. The significance level was corrected using the Holm-Bonferroni method for multiple comparisons between groups. Statistical analysis was performed using MATLAB software.
Results
UTE (TE =0.032 ms) and second echo (TE =2.2 ms) axial images of the lower leg of a healthy subject are presented in Figure 1. While the UTE image detects a high signal in tendons, it lacks adequate contrast to be used for the selection of the tendon ROIs. The second echo image (Figure 1B) was used by the data analysts to select ROIs covering the ATTs and PTTs.
Figure 2 shows aFrac-LongT2 maps generated over ATTs and PTTs of three representative Normal, OPe, and OPo subjects. For these examples, aFrac-LongT2 was clearly higher for OPe and OPo patients compared with the Normal participant.
Table 1 summarizes the estimated mean and standard deviation (SD) values of aFrac-LongT2 and CSA in the ATTs and PTTs of participants from the Normal, OPe, and OPo groups. ICC was higher than 0.95 indicating a high level of consistency between the readers. Mean and SD values of body mass index (BMI) and age for subjects in each group are presented in Table 1.
Table 1
Variables | Normal | OPe | OPo | ICC |
---|---|---|---|---|
Age (years) | 35.1±18.1 | 72.3±6.9 | 73.0±6.4 | – |
BMI (kg/m2) | 23.2±4.3 | 25.8±6.2 | 22.0±3.8 | – |
ATT | ||||
aFrac-LongT2 (%) | 40.4±10.3 | 47.5±12.2 | 49.4±12.3 | 0.96±0.03 |
CSA (mm2) | 27.2±8.0 | 30.3±9.8 | 35.1±9.4 | 0.91±0.05 |
PTT | ||||
aFrac-LongT2 (%) | 31.4±6.9 | 37.1±10.2 | 42.3±12.2 | 0.97±0.03 |
CSA (mm2) | 28.7±8.8 | 29.9±8.2 | 33.9±11.2 | 0.92±0.06 |
The value is presented as means ± SD. aFrac-LongT2, apparent long T2 signal fraction; CSA, cross-sectional area; ATT, anterior tibialis tendon; PTT, posterior tibialis tendon; OPe, osteopenia; OPo, osteoporosis; ICC, intraclass correlation coefficients; BMI, body mass index.
The percentage differences and statistical significances of aFrac-LongT2 and CSA between the Normal, OPe, and OPo groups are presented in Table 2. aFrac-LongT2 in the ATTs and the PTTs were significantly higher for the OPo group than in the Normal group. The Normal/OPo difference was larger in the PTTs than in the ATTs (22.2% and 34.8% in the ATT and PTT, respectively). CSA in the ATTs was significantly higher for the OPo group than in the Normal group (Normal/OPo difference was 28.7, P<0.01). Such a difference for PTTs did not reach the significance level. aFrac-LongT2 and CSA showed a higher trend in the OPe group compared with the Normal group for both ATTs and PTTs, although the differences did not reach statistical significance after the Holm-Bonferroni correction. aFrac-LongT2 and CSA showed a higher trend in the OPo group compared with the OPe group, however, the differences were not significant.
Table 2
ROI | Variables | Normal/OPe | Normal/OPo | OPe/OPo | |||||
---|---|---|---|---|---|---|---|---|---|
Difference (%) | P | Difference (%) | P | Difference (%) | P | ||||
ATT | aFrac-LongT2 | 17.7 | 0.13 | 22.2 | <0.01 | 3.9 | 0.92 | ||
CSA | 11.3 | 0.53 | 28.7 | <0.01 | 15.6 | 0.27 | |||
PTT | aFrac-LongT2 | 18.1 | 0.25 | 34.8 | <0.01 | 14.1 | 0.35 | ||
CSA | 4.2 | 0.94 | 17.9 | 0.18 | 13.2 | 0.54 |
. aFrac-LongT2, apparent long T2 signal fraction; CSA, cross-sectional area; OPe, osteopenia; OPo, osteoporosis; ROI, region of interest; ATT, anterior tibialis tendon; PTT, posterior tibialis tendon.
Figure 3 demonstrates the mean, median, SD, and the first and third quartiles of aFrac-LongT2 and CSA for each studied group using box and whisker plots. The dashed lines between groups, indicated with an asterisk, refers to statistically significant differences.
Discussion
This study investigated the differences in aFrac-LongT2 of ATTs and PTTs between OPo, OPe, and Normal subjects. aFrac-LongT2 is an estimation of the proton pools with long T2 in tendons divided by the total proton pool. aFrac-LongT2 was calculated using a rapid dual-echo UTE MRI sequence which generally takes under five minutes to acquire. Such a rapid UTE-MRI-based technique for quantitative tendon evaluation can be considered translatable into the clinical workflow due to its simplicity and time efficiency.
Notably, the required time for dual-echo UTE MRI sequence depends on the acquisition techniques. For example, two-dimensional (2D) UTE acquisition (32,33) is faster than a three-dimensional (3D) acquisition (using radial, spiral, or cones trajectories) (22,34), while among the 3D acquisitions, the spiral or Cones is faster than a radial technique. Moreover, the UTE scan time can be improved by several acceleration techniques such as the stretching spokes in Cones (35), compressed sensing (36-38), and parallel imaging (39,40). Since the proposed method here for aFrac-LongT2 at most requires two acquisitions (for some resolutions it can be performed as one acquisition), they are likely faster than techniques with multiple acquisitions. Several UTE MRI techniques have been reported in the literature for both ex vivo and in vivo tendon assessments that utilize multiple acquisitions per exam, including UTE-T2* (17,20,21,27,41-47), UTE-T1 (43,48-51), UTE-T1ρ (52), MT (42,49,50,53-56), and inversion recovery (IR) UTE-T2* (57). The Achilles (18,20,21,41-44,49,51,52,55,56,58,59), rotator cuff (46,53,54), tibialis (49,50), and patellar tendons (44,58,60) are the main targeted tendons for UTE-MRI-based assessments.
aFrac-LongT2 in the ATTs and PTTs were significantly higher for OPo compared with the Normal group (22.2% and 34.8 in ATT and PTT, respectively). Similar ranges of differences were reported in one of our previous studies for MMF reduction (−32.1 ATT and −24.2 for PTT) for the same group of patients (49). However, the UTE technique used in the prior study required 33 minutes of scan time (including the prerequisite T1 measurement and UTE-MT sequence).
aFrac-LongT2 showed a higher trend in the OPe group compared with the Normal group for both ATTs and PTTs, although the differences were not statistically significant. This agreed with the non-significant tendons’ MMF reduction revealed previously in OPe patients compared with the Normal group (49). The aFrac-LongT2 differences between the OPe and OPo groups were not significant. Therefore, the proposed MRI techniques may lack the required sensitivity to detect all age- or bone-health-related differences in tendons, particularly with the current imaging setup. Group OPe notably had a higher BMI than other groups, which might result in insignificant differences of aFrac-LongT2 with other groups.
The performance, quality, and composition of tendons are influenced by aging (61-63). Concurrent with age-related changes, OPo-related bone weakening may affect the tendons’ quality. In more details, lower levels of insulin-like growth factor-I (IGF-I), growth hormone (GH), and sex steroids can lead to the bone, tendon, and muscle deterioration (6-9,64,65), as they reduce the protein turnover and cell activity in these tissues (1,3,8,66). For example, the rotator cuff tendon’s mechanical strength has shown significant correlation to bone mineral density in the humeral head of a rabbit model (4).
The limitations of this study can be summarized in four aspects. First, the subject pool for this study was limited to only female participants to avoid sex-related differences (29-31). Repeating this study on a male patient population and comparisons with the current results will be necessary in the future. Second, a limited number of patients were recruited for the current study, and also there was a control age-matched limitation in this study. Aging can affect the tendons’ quality, so a portion of OPe/Normal and OPo/Normal differences might be only age-related. Including a control age-matched group should be considered in future investigations. aFrac-LongT2 should be examined on a larger group of OPe and OPo patients to confirm its clinical applications for tendons assessment in OPo disease monitoring and there is also a need to compare the results with ultrasonography results as the gold standard and check for the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). Third, the current imaging setup, particularly the resolution with a 0.87×0.87×5 mm3 voxel size and the small tendon cross-sectional area may result in partial volume artifacts. The potential chemical shift artifacts might also affect the results. Future phantom studies should be performed to optimize the image resolutions and slice thickness for specific tendons of interest. Fourth, the magic angle sensitivity (67-69) of aFrac-LongT2 has not been investigated yet. Although there is limited room for variations in the orientation of the lower leg tendons’, utilizing this technique for tendons around joints, that are subject to large orientation changes, may need thorough magic angle sensitivity assessment.
Conclusions
This study investigated the differences in apparent aFrac-LongT2 of the lower leg tendons between OPo, OPe, and Normal subjects. Apparent Frac-LongT2 was calculated using a rapid dual-echo UTE MRI technique and showed potential for the detection and evaluation of changes in the tibialis tendons of the patients with OPo. Apparent Frac-LongT2 showed significantly higher values in the tibialis tendons of the OPo group compared with the Normal group. The results of this study highlight the need for a larger-scale study to further validate the preliminary findings. Tendon insufficiency causes marked discomfort and impairs the balance; therefore tendons are recommended to be evaluated in patients with bone loss to avoid potential debilitating sequela.
Acknowledgments
Funding: This study was supported by grants from
Footnote
Reporting Checklist: The authors have completed the STROBE reporting checklist. Available at https://qims.amegroups.com/article/view/10.21037/qims-23-1341/rc
Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://qims.amegroups.com/article/view/10.21037/qims-23-1341/coif). Jiang Du serves as an unpaid editorial board member of Quantitative Imaging in Medicine and Surgery. All authors report that this study was supported by GE Healthcare. GE Healthcare was not involved in the study design, collection, analysis, interpretation of data, the writing of this article or the decision to submit it for publication. The authors have no other conflicts of interest to declare.
Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The study was approved by the institutional review board (IRB) of the University of California, San Diego (No. 151622), and written informed consent was taken from all individual participants.
Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.
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