MRI set up. For imaging the joint plates were placed in the middle of a pot being filled with high viscosity solution. 

MRI set up. For imaging the joint plates were placed in the middle of a pot being filled with high viscosity solution. 

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No established, non-invasive diagnostic procedure for quantifying focal cartilage defects is currently available. To test the accuracy of quantitative magnetic resonance imaging (qMRI) for reliable determination of cartilage defect size in various compartments of the human knee. 24 tibial and patellar cartilage plates were harvested during knee art...

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... to 33% of American adults have symptoms of osteoarthritic (OA) cartilage lesions (press release from the Centers for Disease Control and Prevention, 24 October 2002). In particular, in young subjects, cartilage defects often do not affect the entire cartilage plate, but are confined to focal lesions. Focal alterations can also be observed in osteochondrosis dissecans and in acute osteochondral fractures. 1 In both these diseases the aim is to refill the defects with hyaline cartilage tissue, and new therapeutic approaches have recently been described (for example, autologous chondrocyte transplantation, mosaicplasty). 2–6 In this context, it would be highly beneficial to have a diagnostic method available for accurately estimating the defect size non-invasively preoperatively, without the need to subject the patient to an operative, arthroscopic procedure. Follow up studies 2 6 7 have indicated good clinical results for the therapeutic approaches mentioned above, but arthroscopic (and histological) control examinations have shown that at least one third of the transplanted defects display persistent defects. 5 8 9 For these reasons, it would also be advantageous to use an accurate, postoperative technique which would allow measurement of the exact defect size non-invasively. Conventional radiography has been the standard method for diagnosing OA 10 and focal cartilage defects. 11 However, this method cannot delineate cartilage directly, and does not allow determination of the size of focal cartilage defects. 12 Osteochondral and other cartilage lesions can now be described using magnetic resonance imaging (MRI), 13 14 and if the spatial resolution is sufficiently high focal cartilage defects can be detected with high reliability. 15 16 We have recently shown that MRI, in conjunction with three dimensional image analysis techniques (qMRI), allows accurate measurement of cartilage loss in OA. 17 18 In this study we extend these techniques to quantify focal cartilage defects, and we analyse the accuracy of qMRI in measuring focal cartilage defects in different compartments of the knee experimentally. Twenty tibial (medial and lateral) and 16 patellar joint surfaces (cartilage and subchondral bone) were harvested from human knees during knee arthroplasty. These were stored at 2 80 ̊ C and thawed to room temperature before each examination. In the 36 (20 + 16) joint surfaces, 74 cylindrical full thickness defects were artificially created with three different punches (Aesculap, Tuttlingen, Germany), with diameters of 3, 5, and 8 mm, respectively. Up to three defects were created in different areas of each tibial and patellar surface, both in areas with macroscopically intact cartilage and in areas with early OA changes. Note that the cartilage plates were retrieved from patients treated for femorotibial OA, but that substantial portions of normal cartilage and cartilage with early OA changes are generally maintained in these subjects. 18 Although it would have been interesting to also examine cartilage from the femoral condyles, these are removed during arthroplasty in several smaller pieces, precluding experimental analysis of the type presented here. Two types of approach were used for creating the defects (table 1). In 15 specimens (51 defects), the cartilage cylinders inside the punch were removed from the joint plate to create defects as observed, for instance, in osteochondrosis dissecans (approach 1) (fig 1). In nine specimen (23 defects), the cartilage cylinder was left in place and the surrounding cartilage tissue was removed mechanically (approach 2) (fig 2). The actual size of the defects was controlled with a micrometer screw (Hommel Group, Cologne, Germany). For approach 1, the actual diameter of the defects created by the 3 mm punch was 3.08 mm (equivalent to a size of 0.08 cm 2 ). For the 5 mm punch the exact diameter was 5.06 mm (size = 0.2 cm 2 ), and for the 8 mm punch the exact diameter was 8.10 mm (size = 0.52 cm 2 ). For approach 2, the diameter (inside the punch) was 3.96 mm for the 5 mm punch (size = 0.12 cm 2 ), and 6.44 mm for the 8 mm punch (size = 0.33 cm 2 ). Owing to the small inner diameter ( , 1.8 mm) of the 3 mm punch, no reproducible defect size was created and these lesions were thus not included in the analysis. To achieve high contrast between cartilage and bone, specimens were positioned in a container filled with contrast medium (Lumirem, Guerbet, Roissy, France) during imaging. Gelatin was added, to stabilise the specimens mechanically in the liquid contrast medium (fig 3). In this way the cartilage plates were positioned in the middle of the container, avoiding imaging artefacts that might have occurred at its edges. A clinical 1.5 T MRI system (Magnetom Sonata, Siemens, Erlangen, Germany) was used, and a T 1 weighted gradient echo sequence with water excitation, which has been previously validated for quantitative cartilage imaging. 17–21 The spatial resolution was 0.31 mm 6 0.31 mm (in plane) and the slice thickness 1.5 mm. The acquisition time was 9 minutes 50 seconds for each tibial compartment, and 10 minutes 30 seconds for the patella. After transfer of the image data to a multiprocessing computer (Octane Duo, Silicon Graphics Inc, Mountain View, CA), the cartilage was segmented semiautomatically using a B-spline snake algorithm. 22 The person who performed the image analysis (DA) was unaware of the number of defects for each surface, their position, or their size (diameter). In the next step, the defects themselves (approach 1) were segmented using the same image analysis techniques mentioned above (fig 4). The depth of the defect was defined by the thickness of the cartilage surrounding this tissue. 23 The diameter of the defect was then calculated from the volume of the defect and its depth (thickness of surrounding tissue) using the following formula: r 2 = V/ p h r = ! r 2 d = 2r where h = mean cartilage thickness, V = defect volume. In approach 2, the remaining cartilage cylinders were segmented directly (fig 5). The same software 23 and procedure was then used to compute the volume and thickness of the cartilage defect and its diameter. This second approach was performed to find out whether the interpolated cartilage/joint and cartilage/bone surface of approach 1 has an influence on the results. The systematic (mean deviation) and random pairwise differences (mean over- or underestimation when eliminat- ing the + and 2 signs) between the actual defect size (as determined with the micrometre screw) and the digital analysis results from the MR images were assessed and evaluated for statistical significance using a paired Student’s t test. Finally, the data were displayed using a box and whiskers plot (fig 6). The number and location of all cartilage defects were accurately detected by MRI analysis. This applied to all cartilage plates, all lesion diameters, and both approach 1 and 2. For approach 1, the accuracy of the MR based measurement technique clearly improved with the size of the defect: Random differences with physical measurements were 1.3 (0.58) mm ( ¡ 42%) for the 3 mm defects, 1.0 (0.57) mm ( ¡ 20.7%) and 0.1 (0.39) mm ( ¡ 3.9%) for the 5 mm and 8 mm defects, respectively. While there was a significant overestimation of defect size with MR imaging in the 3 mm ( ¡ 42%; p , 0.05) and 5 mm lesions ( ¡ 21%; p , 0.05), no systematic error ( ¡ 3.9 %; p = NS) was seen for the 8 mm defects (table 2). With approach 2, the degree of accuracy was somewhat higher than with approach 1 for 5 mm defects, with random differences amounting to 0.51 (0.53) mm ( ¡ 13.4%). However, for 8 mm defects the level of accuracy was similar, with random difference amounting to 0.12 (0.45) mm ( ¡ 5.0%). Although there was a significant overestimation of the defect size in 5 mm defects ( ¡ 13.4 %; p , 0.05), there was no significant over- or underestimation with this approach in the 8 mm defects ( ¡ 5%, p = 0.44) (table 3). No difference was seen between the joint plates (patella, medial tibia, lateral tibia). In all localisations approach 1 showed smaller differences (0.07–0.34 mm; 8.9–10.7%) than approach 2 (0.62–0.71 mm; 13.3–16.1%), but this difference was not significant. In this study we examined the ability of qMRI to determine accurately focal cartilage lesions of various diameters. Only one previous study has examined these relationships, 24 but those authors examined only patellar defects with diameters of 1–5 mm in elderly donors. Here we show that qMRI yields a high degree of accuracy, at least for larger cartilage defects in patellar, medial tibial, and lateral tibial cartilage, both in normal, healthy cartilage and in early OA cartilage. Although MRI significantly overestimated the small 3 mm defects, the difference was much smaller in the 8 mm defects. A limitation of this study is that experimental cartilage defects were evaluated and these experimental defects may be structurally different from cartilage defects occurring under real pathophysiological conditions. The results presented here thus need to be confirmed under clinical conditions, but the current data suggest that the approach is promising and displays potential to obtain accurate results in clinical studies. Strengths of the current study are that defects of different sizes were compared systematically, and that the results were obtained in various cartilage plates of the human knee, both in normal and early OA cartilage. Preoperative quantification of cartilage defects would be very helpful ...

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... Such systems are not uncommon and find use within the tissue engineering and repair community. The organ culture of cartilage has facilitated the understanding of cartilage repair [1] and with respect to mineralised tissues the development of a tooth slice ex vivo culture system [2][3][4] has greatly enhanced the understanding of dental tissue repair processes. ...
... As discussed earlier, ex vivo culture models have been developed to study a wide variety of developmental, physiological and pathological conditions and the development and use of such models significantly reduces the number of animals required for in vivo experimentation. The organ culture of cartilage has facilitated the understanding of cartilage repair and determination of defects [1] and has potential for use in toxicological research and drug activity [32], eliminating the need for expensive and unnecessarily numerous in vivo studies which have previously been used to study the biological effects of such tissues. ...
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... Therefore, there is a need for more information or data to establish the correlation between available (or new) biomarkers and biomechanical (or structural) properties (86). Recent advances in imaging, molecular imaging, image fusion of magnetic resonance imaging, high-resolution multipinhole singlephoton-emission computed tomography, and the validation of biomarkers provide promising methods to assess subchondral bone and cartilage changes, not only in structural details but in metabolic details as well (87)(88)(89). Ongoing initiatives to enhance measurement methods and the availability of richer data resources could facilitate our understanding of OA pathogenesis and allow us to differentiate between the disease subgroups and better define the patients within a heterogeneous OA population (90 -92). ...
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... In human knee cartilage, the mean difference between measured and actual artificial cartilage defect diameters was reported to be < 0.1 mm, whereas the lesion depth was underestimated in MRI by > 0.4 mm [35] . Graichen et al [36] reported an overestimation of the true size of artificial cartilage defects in the human knee, which decreased from 42% in 3 mm defects to 4% in 8 mm defects. It is expected as MRI field and gradient strength increase and RF coil techniques and sequences improve, the performance of lesion detection with MRI will further increase. ...
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... Thus measuring cartilage volume or mean thickness in regions of the knee (eg, medial tibia) and regional mean thickness may provide a very different measure of important pathological change when compared with focal measures of change centred around focal defects in diseased joints. 23 Further, these measures cannot assess the composition of cartilage that can be measured using MRI techniques to ascertain alteration in proteoglycan and collagen content that may accompany swelling of cartilage. 24 Distinguishing the MRI measures that are the most sensitive to change and are correlated with clinical symptoms is essential if we are to utilise them appropriately. ...
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... In early OA, cartilage may not be thin but rather thicker and swollen with water that was imbibed by the cartilage when the collagen network is disrupted and the role of proteoglycans is altered. 11,12,61,62 Thus, measuring cartilage volume in regions of the knee (e.g., medial tibia) and the regional mean thickness, as distinct from focal measures of change (region of interest analysis centered around focal defects 63 ), and measures of denuded cartilage, may provide very different measurements about the important pathologic changes occurring in early disease. Increasing thickness may also reflect simply a healthy trophic response to focal loading for normal cartilage, as distinct from early disease. ...
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... In human knee cartilage, the mean diameters was reported to be < 0.1 mm, whereas the lesion depth was underestimated in MRI by > 0.4 mm 21 . Graichen et al. 22 observed human knee, which decreased from 42% in 3 mm defects to 4% in 8 mm defects. Biswal et al. 14 retrospectively examined 43 patients aged 17 to 65 years) with an average observation period of 1.8 (range 1 to 5) years. ...
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... The interpretation of the MRI data of OA subjects will require the development of accurate and highly reproducible analysis techniques. Although a great effort has been put forward in the validation of MRI as an effective tool for the measurement of cartilage morphology 15,17,19,20,21,22,24,26,27,28,29,30,31,35 , the sensitivity of average indexes for cartilage morphology to monitor OA progression is still not clear. We hypothesize that OA changes are highly focal; therefore global metrics are not sensitive enough to monitor changes. ...
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Abnormal MR findings including cartilage defects, cartilage denuded areas, osteophytes, and bone marrow edema (BME) are used in staging and evaluating the degree of osteoarthritis (OA) in the knee. The locations of the abnormal findings have been correlated to the degree of pain and stiffness of the joint in the same location. The definition of the anatomic region in MR images is not always an objective task, due to the lack of clear anatomical features. This uncertainty causes variance in the location of the abnormality between readers and time points. Therefore, it is important to have a reproducible system to define the anatomic regions. This works present a computerized approach to define the different anatomic knee regions. The approach is based on an algorithm that uses unique features of the femur and its spatial relation in the extended knee. The femur features are found from three dimensional segmentation maps of the knee. From the segmentation maps, the algorithm automatically divides the femur cartilage into five anatomic regions: trochlea, medial weight bearing area, lateral weight bearing area, posterior medial femoral condyle, and posterior lateral femoral condyle. Furthermore, the algorithm automatically labels the medial and lateral tibia cartilage. The unsupervised definition of the knee regions allows a reproducible way to evaluate regional OA changes. This works will present the application of this automated algorithm for the regional analysis of the cartilage tissue.
... For example, Koh et al. 19 visualized surgically excised focal cartilage lesions in cadaveric knees of mini-pigs using MRI. However, only a few studies have applied computer-aided image analyses for the quantitative assessment of focal cartilage lesions 13,16,20 . Graichen et al. 13 used dermal punches to create focal defects on tibial and patellar joint surfaces obtained from knee arthroplasty, and used an MRI-based method to detect the location and diameter of the cartilage defects. ...
... However, only a few studies have applied computer-aided image analyses for the quantitative assessment of focal cartilage lesions 13,16,20 . Graichen et al. 13 used dermal punches to create focal defects on tibial and patellar joint surfaces obtained from knee arthroplasty, and used an MRI-based method to detect the location and diameter of the cartilage defects. These authors concluded that MRI can provide accurate information in focal cartilage damage, and the size of the defect can affect the accuracy. ...
... Osteoarthritis and Cartilage Vol.13,No. 8 ...
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The purpose of the study was to validate a Gradient Peak Method (GPM) by evaluating its accuracy and consistency at different magnetic field strengths. The GPM using magnetic resonance imaging (MRI) was previously proposed to quantitatively assess the morphology of focal cartilage lesions, and its feasibility was demonstrated. GPM quantifies the morphologic properties of cartilage lesions based on their three-dimensional geometry. Twenty-two conical and cylindrical lesions were surgically created on fresh porcine knees, and the results obtained by GPM were compared with manually measured lesion dimensions. Another 15 focal lesions of various shapes were created and scanned, and the quantification results were compared at 1.5 Tesla and 3 Tesla. Additionally, cartilage lesions in three patients were scanned, quantified by GPM, and compared with arthroscopic visualization and measurements. The average absolute errors of GPM (depth: < or =0.4mm; diameter: < or =1.4mm) were within twice the in-plane resolution in depth estimates and within the slice thickness in diameter estimates. Analysis also suggested that the quantifications of GPM using 1.5 Tesla and 3 Tesla data were not statistically different. Moreover, the GPM results were shown to be consistent with the lesion measurements obtained arthroscopically. The GPM using MRI provides estimates of lesion thickness, depth, diameter, and area. With this validation, the method can be potentially used as an auxiliary tool to help radiologists and physicians assess cartilage lesions quantitatively and monitor disease progression.
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Purpose to create a custom-shaped graft through 3D tissue shape reconstruction and rapid-prototype molding methods using MRI data, and to test the accuracy of the custom-shaped graft against the original anatomical defect. Methods An iatrogenic defect on the distal femur was identified with a 1.5 Tesla MRI and its shape was reconstructed into a three-dimensional (3D) computer model by processing the 3D MRI data. First, the accuracy of the MRI-derived 3D model was tested against a laser-scan based 3D model of the defect. A custom-shaped polyurethane graft was fabricated from the laser-scan based 3D model by creating custom molds through computer aided design and rapid-prototyping methods. The polyurethane tissue was laser-scanned again to calculate the accuracy of this process compared to the original defect. Results The volumes of the defect models from MRI and laser-scan were 537 mm ³ and 405 mm ³ , respectively, implying that the MRI model was 33% larger than the laser-scan model. The average (±SD) distance deviation of the exterior surface of the MRI model from the laser-scan model was 0.4±0.4 mm. The custom-shaped tissue created from the molds was qualitatively very similar to the original shape of the defect. The volume of the custom-shaped cartilage tissue was 463 mm ³ which was 15% larger than the laser-scan model. The average (±SD) distance deviation between the two models was 0.04±0.19 mm. Conclusions This investigation proves the concept that custom-shaped engineered grafts can be fabricated from standard sequence 3-D MRI data with the use of CAD and rapid-prototyping technology. The accuracy of this technology may help solve the interfacial problem between native cartilage and graft, if the grafts are custom made for the specific defect. The major source of error in fabricating a 3D custom-shaped cartilage graft appears to be the accuracy of a MRI data itself; however, the precision of the model is expected to increase by the utilization of advanced MR sequences with higher magnet strengths.