The thickness of articular cartilage on the dome of talus has been demonstrated to be only 0.4 to 2.1 mm (
12). In the absence of sufficient joint fluid, the cartilage closely approximates the distal tibial articular cartilage (
13), making it very difficult to make a precise evaluation using MRI (
11,
14). Subchondral trabecular compression on the talar dome is difficult to detect when the compression amplitude is slight. Marrow edema and subchondral cysts show an equal or high signal intensity beneath lesions on proton density (PD)-weighted images. This makes MRI evaluation more challenging, especially in distinguishing between MR grade I and grade IIA (
Figure 3). Small FOV imaging helps optimize resolution of the talar dome articular cartilage, providing a better signal-to-noise ratio even at 1.5T MRI than standard MRI at 3T (
15,
16).
This study may be the first to date to apply the BLADE sequence with a small FOV coil in ankles with talar dome osteochondral lesions. The results of this study indicate that the small FOV surface coil BLADE sequence showed the cartilage better than a routine FOV boot coil sequence (
Figure 4). There are several reasons for the differences between the two techniques, and the first is due to the effects of different coils. A small FOV coil was closely fixed to the location of cartilage injury with tape. This allows for more effective imaging due to reduced distance and signal loss. The design of the boot coil was in accordance with the anatomical structure of the ankle. However, considering individual differences, there must be a certain distance between the joint surface and the coil, resulting in reduced signal strength. The second reason is the difference in FOV. The difference in spatial resolution is easily visible. The actual spatial resolution was higher (0.3 mm
2) in small FOV sequences than in routine FOV sequences (0.6 mm
2). In addition to the approximately two-fold improvement in spatial resolution, Antonio et al. (
16) reported that use of a small FOV coil significantly enhanced the MR signal to approximately double within the focus region compared to that for extremity coil imaging. The third factor is the application of the BLADE technique. The conventional k-space trajectory is a Cartesian pattern; the collected data is filled into the k-space line-by-line. BLADE is the product name of the Siemens Medical System (Erlangen, Germany) turbo-spin echo (TSE) sequence that uses the periodically‐rotated overlapping parallel lines with enhanced reconstruction (PROPELLER) k-space trajectory. The BLADE method acquires many blades that are rotated around the center of the k-space. Each blade is composed of many of the lowest-phase encoding lines of a conventional rectangular k-space trajectory that are acquired after a single radio frequency excitation (
17). The central region of k-space is repeatedly filled with the rotating rectangular data matrix. In theory, the main role of the central region of k-space is to determine the image contrast, so we have reason to believe that image contrast is clearly improved because of the multiple data fillings in the central region of k-space. Based on our results, it was found that BLADE sequences improved image contrast in all cases, although the general role of the BLADE sequence was to eliminate motion artifacts. Compared with the conventional sequence, the visualization of joint fluid with the BLADE sequence showed higher signal intensity. Therefore, we had better contrast between joint fluid and cartilage, so implementation of the BLADE sequence improved diagnostic accuracy in our study (
Figure 5).
Comparing the results with similar studies, our test results indicated that there were obvious improvements in all the accuracies, sensitivities and most of the specificities by using the small FOV BLADE sequence. In a study conducted by Lee et al., they could increase the joint space width with traction in small FOV coil. Although this method can improve the cartilage surface visibility of talar dome, the risk is still potential (
15). The results of some published studies show that MRI has the ability to display osteochondral lesions of the talus with accuracies ranging from 65.9% to 83.0% (
18-
20). In this study, we came to the following conclusions: the total rate of correct classification was relatively high (90.1%) in the small FOV BLADE sequence group and relatively low (75.25%) in the routine FOV sequence group. Study results show that the small FOV has good performance on the sensitivity and specificity. The small FOV for an overall sensitivity and specificity were higher than the findings (sensitivity 84.21%, specificity 97.73%) by Gatlin et al. The difference could be due to the fact that the lesions were only grades III and IV in their report (
21). Bauer and colleagues also investigated the use of MRI in the detection of cartilage lesions of the ankle. Their results show that sensitivity (71%) and specificity (> 95%) were different from our study. The major reasons for the differences may be because the lesions were artificially manufactured in a cadaver model (
22).
The main limitation of the current study is that first, the difference in accuracy is caused by spatial resolution, different coils and BLADE sequence together. However, we did not analyze the influence degree of each single factor to the final outcome, we just discovered the differences between two methods of imaging. Second, the corresponding relationship between MR classification (the Berndt and Harty) and the arthroscopic results are not absolutely matched, only a relatively reasonable choice that has been used in a professional paper (
18). Third, patients with mild cartilage injuries rarely undergo arthroscopy. For MR grade I osteochondral lesions, the small FOV BLADE sequence was great for improving the accuracy rate, but only a small number of patients were included in our study, and no significant differences could be detected between the two methods.
In conclusion, small FOV BLADE sequence grading of osteochondral lesions in the talus was useful and had a promising accuracy rate with respect to arthroscopic classification.