Abstract
Developmental dysplasia of the hip is a common risk factor of early osteoarthritis (OA). Current classical non-invasive magnetic resonance imaging (MRI) methods can be used to identify qualitative, macroscopic alterations of cartilage related to gross thickness and integrity. However, these structural changes in the cartilage often manifest late in the OA progression. In the early stage of OA, changes of the biochemical composition occur in the extracellular matrix of the cartilage. This chapter discusses quantitative MRI techniques that are sensitive to these early biochemical changes in the cartilage tissue that can be used to evaluate the hip cartilage. The concepts of the most common methods for biochemical assessment of the hip cartilage (dGEMRIC, T2, T2∗ and T1ρ mapping) are introduced and their application in the context of hip dysplasia is discussed. The necessary infrastructure for setup, conduction, and evaluation of biochemical sensitive hip cartilage MR imaging is outlined. The data post-processing steps are presented, showing the necessary steps involved to generate, analyze, and interpret the quantitative cartilage maps. The quantitative MRI cartilage mapping methods discussed are promising tools for clinical researchers to examine structural and biochemical changes in the cartilage that occur in hip dysplasia.
Access provided by Autonomous University of Puebla. Download chapter PDF
Similar content being viewed by others
Keywords
FormalPara Key Learning Points-
Understanding the basic concepts of biochemical sensitive MRI methods for quantitative hip cartilage mapping.
-
Learning about the currently available and applied quantitative mapping sequences for the hip cartilage.
-
Getting an overview of the application of biochemical sensitive MRI in the context of hip dysplasia evaluation.
-
Understanding the necessary post-processing steps from MRI data acquisition to successful data analysis.
-
Learning about the necessary infrastructure to perform quantitative hip cartilage MRI.
Introduction
Hip dysplasia is one of the major causes of hip osteoarthritis (OA) [1]. Reduced contact areas and increased contact pressures lead to reduced function, pain, and degenerative changes in the cartilage [2]. Acetabular hip dysplasia is associated with a modestly increased risk of incident hip OA [3]. Joint preserving non-surgical treatments such as physiotherapy, osteopathy, chiropractic and sports medicine as well as surgical approaches, such as osteotomy, are applied to reduce symptoms [4]. In this context, it is important to evaluate the status of OA in subjects with hip dysplasia to develop and apply optimal joint-preserving procedures [5].
Currently, various imaging techniques exist to evaluate the dysplastic hip, including radiography (plain x-rays), computed tomography (CT), and magnetic resonance imaging (MRI). While these techniques can evaluate anatomical and structural changes in the dysplastic hip, it is the status of the hyaline cartilage that is a key factor in determining prognosis and optimizing the management plan [6, 7]. Traditional MRI sequences have been effective in identifying qualitative, macroscopic changes in the cartilage related to gross thickness and integrity. However, these gross structural alterations often manifest late in the OA pathway, at a point where treatment options may be limited to invasive, surgical reconstructive procedures. Consequently, advanced MRI techniques have been developed in the hope of detecting biochemical changes in the macromolecular matrix of cartilage before gross, morphologic damage, possibly irreversible changes, occur [8].
In OA the cartilage degeneration begins with changes in hydration and degradation of the macromolecular content in the tissue matrix, which is not detectable with classical anatomical MR sequences. Early cartilage degeneration is characterized by loss of proteoglycans (PG) within the extracellular matrix and an increased hydration [9]. With ongoing OA the collagen within the cartilage is thinning and disrupting, which leads to dehydration and loss of the cartilage in the late stage of the degenerative process [10]. In the last fifteen years, several MRI techniques were developed that are sensitive to the biochemical content of cartilage and can be used as biomarkers for early cartilage degeneration [11, 12]. These quantitative MRI methods have been evaluated in vitro, validated with correlation to histological cartilage analyses, confirming their sensitivity to biochemical changes in the cartilage [13,14,15,16]. Several human, in vivo studies have also been conducted, in various joints, but predominantly the knee followed by the hip [17,18,19].
Infrastructure for Cartilage Mapping
Although research studies have shown the successful application of biochemical sensitive MR methods to evaluate early cartilage changes in OA, these sequences have not fully found their way into clinical practice. The reasons for this are the availability of the advanced sequences on the MRI scanner, the complexities of running the novel MRI sequences, the post-processing procedure related to the availability of post-processing software, and expertise for segmentation and interpretation. Additionally, these sequences can add considerable scan time to the overall protocol.
For advanced MR imaging and data analysis in a clinical setting, a multi-disciplinary team is needed, which covers everything from the clinical aspects to the technical components of the study. A successful team consists of an orthopedic surgeon and musculoskeletal radiologist, who evaluate the clinical status, develop the treatment strategy for the patient, and set the necessary time points for cartilage evaluation. If the MR sequences and post-processing techniques are not available, an MRI physicist with access to source code and the scanner research mode (both are necessary to modify and implement new sequences) is needed. Further, an image analyst or MRI physicist with image software programming knowledge for data post-processing is required to analyze the data. For custom programmed sequences own data processing pipelines need to be established to transform the raw data from the MR machine to quantitative maps which can be segmented and evaluated. Last but not least a knowledgeable MRI technician is recommended who is aware of performing advanced MR sequences, can interfere if image artifacts occur and has detailed knowledge of the techniques to solve difficulties related to imaging.
MRI Requirements
Quantitative MR imaging for hip cartilage evaluation can be carried out at 1.5 T [8], 3.0 T [20], and 7.0 T [21]. In clinical practice 1.5 T and 3.0 T are most commonly used, 7.0 T studies are limited to larger research centers with access to human high-field MRI. The standard hardware setup for quantitative hip cartilage imaging is a scanner built-in body coil for radio-frequency (RF) transmission and a flexible surface receive coil array wrapped around the hip (uni- or bilateral) for signal reception (Fig. 7.1). The hip of interest, if the scan is performed uni-lateral, should be positioned as close as possible into the magnet center to ensure the best homogeneity of the main magnetic field (B0) as well as good homogeneity of the sending RF field (B1+). Compared to quantitative knee cartilage imaging or intervertebral disc mapping, hip cartilage imaging has the challenge that the hip joint is located deeper in the body which results in a reduced signal to noise ratio (SNR). The SNR can be compensated by longer scan time and/or by a reduction of the spatial resolution. The spherical shape of the hip joint results in partial volume effects of the cartilage for any slice orientation.
MRI Cartilage Mapping Techniques
The advanced MR imaging techniques for the hip cartilage discussed in this chapter are all sensitive to the biochemical content of the cartilage, but they do not directly measure the PG or the collagen concentration within the cartilage, rather they do indirectly by analyzing the content of water in the environment. Only the later discussed dGEMRIC technique can quantify the glycosaminoglycan (GAG) concentration; however, this is clinically not straightforward [16]. The methods discussed are based on proton (1H) MRI, which is almost exclusively used clinically. 1H MR cartilage imaging techniques are based on the protons of the free water molecules within the tissue. It is the chemical environment around these water molecules (the content of PG and collagen within the cartilage matrix) that affect MR specific properties of the free water molecules, which can be measured using advanced techniques: a change in the biochemical content of the cartilage leads to a change of a 1H MR measurable parameter of water proton signal. All the advanced techniques discussed in more detail below measure an MR-specific quantitative parameter called “relaxation time”.
Compared to clinical MRI sequences the biochemical sensitive techniques for hip cartilage evaluation demand higher spatial resolution from about 0.4 × 0.4 mm2 to 0.5 × 0.5 mm2 in-plane and a slice thickness of 2–3 mm. A higher resolution is necessary to avoid partial volume effects due to the spherical shape of the cartilage at femoral head and acetabulum. While such a resolution may still enable a separated analysis of femoral head and acetabulum cartilage in healthy subjects, such differentiation can be difficult if the subject has considerable OA and thin cartilage or the imaging is performed at a lower magnetic field strength (1.5 T) [22]. While the above-mentioned resolution is the typical accomplishable resolution for T2 and T1ρ mapping dGEMRIC (T1GD) and T2∗ mapping techniques are able to achieve isotropic resolutions of 0.8–1 mm3 in clinically acceptable scan times (< 20 min) (see overview Table 7.1).
MR Image Post-Processing and Data Analysis
For cartilage data analysis several post-processing steps are required. Some of the quantitative sequences that are available on commercial scanners might have part of the processing steps already implemented, for others establishment or programming of the post-processing steps are necessary. Four main steps are required to process data from the MRI machine and retrieve quantitative results. In the following the processing for T1ρ mapping is outlined (Fig. 7.2), but these steps are also applicable to the other relaxation time mapping techniques such as T2, T2∗, and dGEMRIC. For the first step image re-alignment might be necessary as the datasets acquired at different spin-lock times (TSL) could be misaligned due to subject movement. Image alignment is essential for the second processing step, where the signal decay of each pixel of the dataset is fitted to a mono-exponential decay function to generate the quantitative relaxation time map. In the third step, hip cartilage segmentation is performed. The segmentation can be carried out on the first T1ρ-weighted dataset. If additional high-resolution anatomical data is available, a co-registration can be applied to register the high-resolution data to the first T1ρ-weighted dataset [20]. From the cartilage segmentation a binary mask is generated which is applied on the T1ρ map to retrieve the hip cartilage T1ρ values. The hip cartilage segmentation can be performed manually or semi-automatically [23, 24]. Recently, more fully automatic hip cartilage segmentation methods were proposed, which greatly reduce the post-processing time [25]. The last step typically involves a sub-division of the hip cartilage into different regions of interest, which can be analyzed and compared between study subjects. Methods need to be established which standardize the location of regions toward reproducibility comparisons across centers and longitudinal follow-up of individual subjects. A technical study by Surowiec et al. evaluated hip cartilage T2 maps from 3 mix-type FAI patients and subdivided the cartilage into 12 regions (6 on the acetabular side, 6 on the femoral side) to establish a standardized system to locate and describe quantitative mapping values [26]. A study by Anwander et al. researched and compared different approaches to subdivide the superior part of the hip cartilage into regions, which were was used to evaluate in T1ρ values of cam-FAI subjects and controls [24]. Studies at 1.5 T and 3 T on healthy volunteers have shown that T1ρ is not uniform over the hip [20, 27].
Delayed Gadolinium-Enhanced MRI of Cartilage (dGEMRIC)
Delayed gadolinium-enhanced MRI of cartilage (dGEMRIC) is a technique that indirectly measures PG content within hyaline cartilage. The technique is sensitive to the negative charge of the extracellular GAG of the PG within the cartilage tissue [16]. The technique is based on the intravenous or intra-articular injection of a negatively charged T1 changing contrast agent (based on Gadolinium – Gd), which can diffuse into the cartilage matrix. The degree of Gd accumulation in hyaline cartilage is proportional to the GAG concentration. GAG is negatively charged, and thus loss of GAG results in a relatively positively charged environment attracting the negatively charged Gd. Therefore, regions with degenerative cartilage and reduced GAG content will have a larger amount of Gd absorbed. On the other hand, regions of healthy cartilage will have lower levels of Gd. The local presence of Gd in the cartilage reduces the relaxation time T1, which can be measured and mapped using MRI techniques. Therefore, a shorter T1 relaxation time after administration of Gd will be observed in degrading cartilage, whereas longer T1 values will be measured in healthy cartilage.
For dGEMRIC the suggested contrast agent dose is 0.2 mmol/kg body weight, twice the recommended clinical dose [28]. In a dGEMRIC study the Gd-contrast agent is injected intravenously (or intra-articularly), outside the scanner, typically 45–90 min before the scan [29] [30]. After the injection subjects are required to perform an exercise (walk for 10–20 min) and wait typically 30–90 min before the dGEMRIC (T1GD mapping) scan is performed as the agent is distributed in the cartilage by diffusion [28]. The conversion of the T1 relaxation time to absolute GAG concentration is difficult, therefore the majority of clinical studies report the T1GD relaxation time also called the ‘dGEMRIC index’, which is inversely proportional to the GAG content. The dGEMRIC index map shows the cartilage T1GD values, where a decreased T1GD is equivalent to a decreased dGEMRIC index and a lower content of GAG.
dGEMRIC in Hip Dysplasia
The dGEMRIC cartilage mapping technique is the most widely studied and applied in the context of hip dysplasia. The technique has advanced knowledge of the degree and distribution of cartilage disease. The dGEMRIC index, a metric used to quantify cartilage health, has been shown to correlate with clinical pain scores [6] and can predict outcomes of surgical procedures for hip dysplasia, namely the periacetabular osteotomy [7]. Most importantly, dGEMRIC can detect early biochemical GAG depletion in the cartilage, prior to gross cartilage thinning occurs [6]. Increased OA on radiographs and a lower dGEMRIC index was found in hips where osteotomy failed. Focused analyses on the weight-bearing zone of the joint have demonstrated that the dGEMRIC index correlates with the severity of dysplasia. Additionally, the early microscopic changes in cartilage have been found to occur globally in the joint, showing that OA in the dysplastic hip affects the whole joint [31]. A study by Jessel et al. investigated ninety-six dysplastic hips using the dGEMRIC technique and found that the mean dGEMRIC index (473 ± 104 ms) was significantly lower than that of morphologically normal hips (570 ± 90 ms, p < 0.001). OA was associated with increasing age and the severity of dysplasia, where dGEMRIC was able to detect the severity of OA [32]. An investigation of the radial distribution patterns of cartilage degeneration in dysplastic hips at different stages of secondary OA found regional decreased dGEMRIC index in the anterosuperior to superior sub-regions in the hips with mild OA compared to the group without OA. The subgroup with moderate to severe OA was observed with a significant overall decrease in the dGEMRIC index [33].
As an example imaging results and diagnostic findings of a 27-year-old female with chronic left hip pain and mild dysplasia of the left hip are shown in Fig. 7.3a–e. The oblique sagittal orientated color-coded dGEMRIC index map of the hip cartilage on an anatomical background image is shown in Fig. 7.3f. The patient was injected 45 min before the dGEMRIC scan at 3 T with Gd-DOTA (i.v., 0.4 mL/kg, 0.2 mmol Gd/kg, Dotarem (Guerbet), Metapharm Inc., Brantford, ON, Canada) and was asked to walk 15 min after the administration of the contrast agent. The lower T1GD relaxation times on the map indicate a higher concentration of the Gd-based contrast agent caused by a reduced GAG content. The global dGEMRIC index of the hip was T1GD = 670 ± 122 ms. Decreased T1GD was found in the anterior and posterior areas of the hip cartilage (T1GD = 453 ± 57 ms).
T2 Mapping
T2 mapping is a well-investigated biomarker for cartilage evaluation [34, 35]. T2 mapping does not need the application of an exogenous contrast agent and the imaging sequence is available as a standard sequence on most commercial clinical MRI scanners. The T2 relaxation time is sensitive to early cartilage changes, including water content and collagen fiber orientation. In an early stage of OA, a loss of collagen anisotropy and an increase of water content lead to an increase of the T2 relaxation time within the cartilage [36, 37].
Therefore, the T2 map represents a visual assessment of water and collagen content as well as the fiber orientation [34]. Increased cartilage T2 values indicate increased water content as well as collagen breakdown and/or structural collagen transformations. Topographic variation of hip cartilage T2 values were observed in a study of young, healthy volunteers [35]. T2 mapping is affected by the magic angle effect, which causes a prolongation of T2 in regions where the collagen fibrils are aligned 54.7° to the direction of the main magnetic field, a condtion which needs to be considered when T2 maps are evaluated [38]. Closer to the subchondral plate T2 relaxation times are shorter due to the high order of the collagen in the radial zone.
T2 Mapping in Hip Dysplasia
T2 cartilage mapping has been conducted for hip dysplasia, demonstrating significantly altered profile in the cartilage of dysplastic hips when compared to normal controls [39]. Recently T2 mapping has also been used to detect and monitor changes in the T2 profile of dysplastic hip hyaline cartilage after corrective surgery. Preoperative T2 values show correlations with postoperative functional scores and thus may also have prognostic value [40].
T2∗ Mapping
T2∗ mapping may prove similar information as T2 with regards to collagen status, although it is more sensitive to other compositional changes such as cartilage calcification [41]. T2∗ is related to T2 and therefore it also reflects the water and collagen content as well as the fiber orientation. The difference of T2∗ to T2 is its sensitivity to microscopic susceptibility differences, which leads to decreased T2∗ values with cartilage degeneration. Reduced T2∗ values indicate the degeneration of the cartilage tissue and the T2∗ relaxation time is decreased in OA-affected cartilage [42, 43]. T2∗ mapping is a fast and high-resulting imaging technique and available on most commercial available MRI machines.
T2∗ Mapping in Hip Dysplasia
To date, there is no published data on the applications of T2∗ mapping in hip dysplasia.
T2∗ cartilage mapping has been carried out in the hip, although limited to the normal and femoroacetabular impingement hip status. T2∗ measured in the acetabulofemoral cartilage of 10 healthy adult controls ranged from 23.06 ms to 29.83 ms [44]. A study investigating the hip cartilage T2* of 47 healthy asymptomatic volunteers found higher T2* values in the anterior part of the hip joint compared to posterior regions [45]. T2∗ mapping in symptomatic femoroacetabular impingement patients revealed decreased T2∗ values with increasing morphologically apparent damage (p < 0.001) [43]. The dysplastic hip, however, would also be amenable to cartilage mapping with these techniques. Further studies using the non-contrast-based T2∗ MRI cartilage mapping are required to determine their efficacy in investigation hip dysplasia, and to compare to the more researched dGEMRIC technique. A color-coded hip cartilage T2∗ map of a patient with dysplasia hip is shown in Fig. 7.3g. T2∗ mapping was performed with a 3D multi-gradient echo sequence at 3 T and a spatial in-plane resolution of 0.5 × 0.5 mm2 (3 mm slice thickness). The global T2∗ value (T2∗ for the whole cartilage) was 25.5 ± 8.5 ms, where decreased T2∗ relaxation times were detected in anterior and posterior regions (T2∗ = 18.3 ± 4.1 ms). The decreased T2∗ relaxation indicates changes in collagen/macromolecular content and/or collagen fiber orientation.
T1ρ Mapping
T1ρ (T1-Rho) mapping is another non-contrast-based technique providing information on PG content of hyaline cartilage. It, too, does not require the administration of intravenous gadolinium contrast. The T1ρ relaxation time provides an intrinsic contrast mechanism which is sensitive to low-frequency motional processes and chemical exchange in biological tissues. It has been shown that T1ρ is more sensitive to changes in PG loss at the early stages of cartilage degeneration [10].
T1ρ mapping of the hip cartilage was successfully performed using different MR imaging techniques [8, 20, 23]. Most applications for T1ρ mapping of the hip cartilage use a B1 spin lock field strength of 400 Hz to 500 Hz [8, 23]. Increasing B1 is associated with increased energy deposition into the tissue and elevated specific absorption rates (SAR – measure of energy/heat accumulation within tissues), which can cause patient/tissue heating [46].
The cartilage T1ρ map visualizes the distribution of water and PG content, where increased T1ρ values are related to a reduced PG content and indicate degenerated cartilage tissue. Lower T1ρ values on the other side are related to healthier cartilage tissue.
T1ρ Mapping in Hip Dysplasia
An example of a color-coded cartilage T1ρ map can be seen in Fig. 7.3h. T1ρ imaging was performed at 3 T using a 3D turbo-spin echo sequence with T1ρ preparation pulse at B1 = 500 Hz (CUBE QUANT, spatial resolution = 0.5 × 0.5 mm2, slice thickness = 3 mm), similar to the protocol by Nemeth et al. [23]. The increased T1ρ relaxation times are related to a loss of PG content, indicating the cartilage degeneration. The global T1ρ value of the cartilage was T1ρ = 48.8 ± 5.9 ms, with higher local T1ρ relaxation times in the anterior and posterior regions (T1ρ = 57.1 ± 6.3 ms). Control T1ρ values from healthy subjects using this MR sequence at 3 T are reported with T1ρ = 50.1–53.0 ms [23], although lower T1ρ relaxation times were measured in healthy controls using gradient echo-based acquisition techniques [20, 47, 48]. Li et al., who investigated and compared T1ρ mapping at different sites and MR machines, observed significant differences in T1ρ values between different models of MR systems and coils [49].
T1ρ mapping has mainly been carried out on the normal/healthy and the femoroacetabular impingement hip [8, 20, 50,51,52]. T1ρ hip cartilage mapping protocols at 1.5 T and 3 T showed intermediate to good reproducibility [23, 24]. A study at 3 T comparing the cartilage in the hip joint of 30 volunteers found statistically significant higher T1ρ values in women than in men but no significant influence of age, body mass index (BMI), or sports activity [23].
Conclusion and Outlook
Quantitative MRI cartilage mapping methods are promising tools for clinical researchers to examine structural and biochemical changes in the cartilage that occur in hip dysplasia. However, further studies with larger sample sizes of using biochemical sensitive MR methods to characterize the cartilage status in hip dysplasia are required. Correlations of the mapping parameters with clinical joint functions and post-surgical outcomes are needed, similar to what has been done in knee OA studies or with the FAI hip. Quantitative MRI cartilage mapping may be able to fulfill the rapidly growing medical demand for a reliable, objective, non-invasive, and quantitative investigation of cartilage status in hip dysplasia. The advanced biochemical imaging techniques can detect changes much earlier and might be used as a marker for cartilage changes and health after physiotherapy or surgical corrections. Quantitative MRI protocols may serve as a future tool in monitoring the progression of cartilage changes and the responses to therapy, in both the clinical and research environments.
References
Harris WH. Etiology of osteoarthritis of the hip. Clin Orthop Rel Res. 1986;213:20–33.
Hipp JA, Sugano N, Millis MB, Murphy SB. Planning acetabular redirection osteotomies based on joint contact pressures. Clin Orthop Rel Res. 1999;364:134–43.
Lane NE, Lin P, Christiansen L, Gore LR, Williams EN, Hochberg MC, et al. Association of mild acetabular dysplasia with an increased risk of incident hip osteoarthritis in elderly white women: the study of osteoporotic fractures. Arthritis Rheum. 2000;43(2):400–4.
Anwar MM, Sugano N, Matsui M, Takaoka K, Ono K. Dome osteotomy of the pelvis for osteoarthritis secondary to hip dysplasia. An over five-year follow-up study. J Bone Joint Surg Br. 1993;75(2):222–7.
Nishii T, Shiomi T, Tanaka H, Yamazaki Y, Murase K, Sugano N. Loaded cartilage T2 mapping in patients with hip dysplasia. Radiology. 2010;256(3):955–65.
Kim Y-J, Jaramillo D, Millis MB, Gray ML, Burstein D. Assessment of early osteoarthritis in hip dysplasia with delayed gadolinium-enhanced magnetic resonance imaging of cartilage. J Bone Joint Surg Am. 2003;85-A(10):1987–92.
Cunningham T, Jessel R, Zurakowski D, Millis MB, Kim Y-J. Delayed gadolinium-enhanced magnetic resonance imaging of cartilage to predict early failure of Bernese periacetabular osteotomy for hip dysplasia. J Bone Joint Surg Am. 2006;88(7):1540–8.
Rakhra KS, Lattanzio P-J, Cárdenas-Blanco A, Cameron IG, Beaulé PE. Can T1-rho MRI detect acetabular cartilage degeneration in femoroacetabular impingement?: a pilot study. J Bone Joint Surg Br. 2012;94(9):1187–92.
Dijkgraaf LC, de Bont LG, Boering G, Liem RS. The structure, biochemistry, and metabolism of osteoarthritic cartilage: a review of the literature. J Oral Maxillofac Surg. 1995;53(10):1182–92.
Li X, Majumdar S. Quantitative MRI of articular cartilage and its clinical applications. J Magn Reson Imaging. 2013;38(5):991–1008.
Matzat SJ, van Tiel J, Gold GE, Oei EHG. Quantitative MRI techniques of cartilage composition. Quant Imaging Med Surg. 2013;3(3):162–74.
Riley GM, McWalter EJ, Stevens KJ, Safran MR, Lattanzi R, Gold GE. Magnetic resonance imaging of the hip for the evaluation of femoroacetabular impingement; past, present, and future. J Magn Reson Imaging. 2015;41(3):558–72.
Akella SVS, Reddy Regatte R, Gougoutas AJ, Borthakur A, Shapiro EM, Kneeland JB, et al. Proteoglycan-induced changes in T1ρ-relaxation of articular cartilage at 4 T. Magn Reson Med. 2001;46(3):419–23.
Li X, Cheng J, Lin K, Saadat E, Bolbos RI, Jobke B, et al. Quantitative MRI using T1ρ and T2 in human osteoarthritic cartilage specimens: correlation with biochemical measurements and histology. Magn Reson Imaging. 2011;29(3):324–34.
Taylor C, Carballido-Gamio J, Majumdar S, Li X. Comparison of quantitative imaging of cartilage for osteoarthritis: T2, T1ρ, dGEMRIC, and contrast-enhanced CT. Magn Reson Imaging. 2009;27(6):779–84.
Gray ML, Burstein D, Kim Y-J, Maroudas A. 2007 Elizabeth Winston Lanier Award Winner. Magnetic resonance imaging of cartilage glycosaminoglycan: basic principles, imaging technique, and clinical applications. J Orthop Res. 2008;26(3):281–91.
Binks DA, Hodgson RJ, Ries ME, Foster RJ, Smye SW, McGonagle D, et al. Quantitative parametric MRI of articular cartilage: a review of progress and open challenges. Br J Radiol. 2013;86(1023). https://doi.org/10.1259/bjr.20120163.
Choi JA, Gold G. MR imaging of articular cartilage physiology. Magn Reson Imaging Clin N Am. 2011;19(2):249–82.
Gold GE, Cicuttini F, Crema MD, Eckstein F, Guermazi A, Kijowski R, et al. OARSI clinical trials recommendations: hip imaging in clinical trials in osteoarthritis. Osteoarthritis Cartilage. 2015;23(5):716–31.
Subburaj K, Valentinitsch A, Dillon AB, Joseph GB, Li X, Link TM, et al. Regional variations in MR relaxation of hip joint cartilage in subjects with and without femoralacetabular impingement. Magn Reson Imaging. 2013;31(7):1129–36.
Lazik A, Theysohn JM, Geis C, Johst S, Ladd ME, Quick HH, et al. 7 Tesla quantitative hip MRI: T1, T2 and T2∗ mapping of hip cartilage in healthy volunteers. Eur Radiol. 2016;26(5):1245–53.
Bittersohl B, Hosalkar HS, Hesper T, Tiderius CJ, Zilkens C, Krauspe R. Advanced Imaging in Femoroacetabular Impingement: Current State and Future Prospects. Front Surg. 2015;2:34.
Nemeth A, Marco L, Boutitie F, Sdika M, Grenier D, Rabilloud M, et al. Reproducibility of in vivo magnetic resonance imaging T1rho and T2 relaxation time measurements of hip cartilage at 3.0 T in healthy volunteers. J Magn Reson Imaging. 2018;47(4):1022–33.
Anwander H, Rakhra KS, Melkus G, Beaulé PE. T1ρ hip cartilage mapping in assessing patients with cam morphology: how can we optimize the regions of interest? Clin Orthop Relat Res. 2017;475(4):1066–75.
Pedoia V, Gallo MC, Souza RB, Majumdar S. Longitudinal study using voxel-based relaxometry: association between cartilage T1ρ and T2 and patient reported outcome changes in hip osteoarthritis. J Magn Reson Imaging. 2017;45(5):1523–33.
Surowiec RK, Lucas EP, Wilson KJ, Saroki AJ, Ho CP. Clinically relevant subregions of articular cartilage of the hip for analysis and reporting quantitative magnetic resonance imaging. Cartilage. 2014;5(1):11–5.
Rakhra KS, Cárdenas-Blanco A, Melkus G, Schweitzer ME, Cameron IG, Beaulé PE. Is the T1ρ MRI profile of hyaline cartilage in the normal hip uniform? Clin Orthop Relat Res. 2015;473(4):1325–32.
Burstein D, Velyvis J, Scott KT, Stock KW, Kim YJ, Jaramillo D, et al. Protocol issues for delayed Gd(DTPA)(2-)-enhanced MRI (dGEMRIC) for clinical evaluation of articular cartilage. Magn Reson Med. 2001;45(1):36–41.
Bittersohl B, Hosalkar HS, Kim Y-J, Werlen S, Trattnig S, Siebenrock KA, et al. T1 assessment of hip joint cartilage following intra-articular gadolinium injection: a pilot study. Magn Reson Med. 2010;64(4):1200–7.
Zilkens C, Tiderius CJ, Krauspe R, Bittersohl B. Current knowledge and importance of dGEMRIC techniques in diagnosis of hip joint diseases. Skeletal Radiol. 2015;44(8):1073–83.
Hingsammer A, Chan J, Kalish LA, Mamisch TC, Kim Y-J. Is the damage of cartilage a global or localized phenomenon in hip dysplasia, measured by dGEMRIC? Clin Orthop Relat Res. 2013;471(1):301–7.
Jessel RH, Zurakowski D, Zilkens C, Burstein D, Gray ML, Kim Y-J. Radiographic and patient factors associated with pre-radiographic osteoarthritis in hip dysplasia. J Bone Joint Surg Am. 2009;91(5):1120–9.
Xu L, Su Y, Kienle K-P, Hayashi D, Guermazi A, Zhang J, et al. Evaluation of radial distribution of cartilage degeneration and necessity of pre-contrast measurements using radial dGEMRIC in adults with acetabular dysplasia. BMC Musculoskelet Disord. 2012;13:212.
Gold SL, Burge AJ, Potter HG. MRI of hip cartilage: joint morphology, structure, and composition. Clin Orthop Relat Res. 2012;470(12):3321–31.
Watanabe A, Boesch C, Siebenrock K, Obata T, Anderson SE. T2 mapping of hip articular cartilage in healthy volunteers at 3T: a study of topographic variation. J Magn Reson Imaging. 2007;26(1):165–71.
Lüsse S, Claassen H, Gehrke T, Hassenpflug J, Schünke M, Heller M, et al. Evaluation of water content by spatially resolved transverse relaxation times of human articular cartilage. Magn Reson Imaging. 2000;18(4):423–30.
Nieminen MT, Töyräs J, Rieppo J, Hakumäki JM, Silvennoinen J, Helminen HJ, et al. Quantitative MR microscopy of enzymatically degraded articular cartilage. Magn Reson Med. 2000;43(5):676–81.
Mosher TJ, Smith H, Dardzinski BJ, Schmithorst VJ, Smith MB. MR imaging and T2 mapping of femoral cartilage: in vivo determination of the magic angle effect. AJR Am J Roentgenol. 2001;177(3):665–9.
Nishii T, Tanaka H, Sugano N, Sakai T, Hananouchi T, Yoshikawa H. Evaluation of cartilage matrix disorders by T2 relaxation time in patients with hip dysplasia. Osteoarthritis Cartilage. 2008;16(2):227–33.
Shoji T, Yamasaki T, Izumi S, Sawa M, Akiyama Y, Yasunaga Y, et al. Evaluation of articular cartilage following rotational acetabular osteotomy for hip dysplasia using T2 mapping MRI. Skeletal Radiol. 2018;47(11):1467–74.
Chavhan GB, Babyn PS, Thomas B, Shroff MM, Haacke EM. Principles, techniques, and applications of T2∗-based MR imaging and its special applications. Radiographics. 2009;29(5):1433–49.
Bittersohl B, Hosalkar HS, Hughes T, Kim Y-J, Werlen S, Siebenrock KA, et al. Feasibility of T2∗ mapping for the evaluation of hip joint cartilage at 1.5 T using a three-dimensional (3D), gradient-echo (GRE) sequence: a prospective study. Magn Reson Med. 2009;62(4):896–901.
Bittersohl B, Miese FR, Hosalkar HS, Mamisch TC, Antoch G, Krauspe R, et al. T2∗ mapping of acetabular and femoral hip joint cartilage at 3T: a prospective controlled study. Investig Radiol. 2012;47(7):392–7.
Miese FR, Zilkens C, Holstein A, Bittersohl B, Kröpil P, Mamisch TC, et al. Assessment of early cartilage degeneration after slipped capital femoral epiphysis using T2 and T2∗ mapping. Acta Radiol. 2011;52(1):106–10.
Hesper T, Schleich C, Buchwald A, Hosalkar HS, Antoch G, Krauspe R, et al. T2* Mapping of the Hip in Asymptomatic Volunteers with Normal Cartilage Morphology: An Analysis of Regional and Age- Dependent Distribution. Cartilage. 2018;9(1):30–7.
Wáng Y-XJ, Zhang Q, Li X, Chen W, Ahuja A, Yuan J. T1ρ magnetic resonance: basic physics principles and applications in knee and intervertebral disc imaging. Quant Imaging Med Surg. 2015;5(6):858–85.
Carballido-Gamio J, Link TM, Li X, Han ET, Krug R, Ries MD, et al. Feasibility and reproducibility of relaxometry, morphometric, and geometrical measurements of the hip joint with magnetic resonance imaging at 3T. J Magn Reson Imaging. 2008;28(1):227–35.
Wyatt C, Kumar D, Subburaj K, Lee S, Nardo L, Narayanan D, et al. Cartilage T1ρ and T2 relaxation times in patients with mild-to-moderate radiographic hip osteoarthritis. Arthritis Rheumatol. 2015;67(6):1548–56.
Li X, Pedoia V, Kumar D, Rivoire J, Wyatt C, Lansdown D, et al. Cartilage T1ρ and T2 relaxation times: longitudinal reproducibility and variations using different coils, MR systems and sites. Osteoarthritis Cartilage. 2015;23(12):2214–23.
McGuffin WS, Melkus G, Rakhra KS, Beaulé PE. Is the contralateral hip at risk in patients with unilateral symptomatic cam femoroacetabular impingement? A quantitative T1ρ MRI study. Osteoarthritis Cartilage. 2015;23(8):1337–42.
Beaulé PE, Speirs AD, Anwander H, Melkus G, Rakhra K, Frei H, et al. Surgical correction of cam deformity in association with femoroacetabular impingement and its impact on the degenerative process within the hip joint. J Bone Joint Surg Am. 2017;99(16):1373–81.
Samaan MA, Zhang AL, Gallo MC, Schwaiger BJ, Link TM, Souza RB, et al. Quantitative magnetic resonance arthrography in patients with femoroacetabular impingement. J Magn Reson Imaging. 2016;44(6):1539–45.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Melkus, G., Rakhra, K.S. (2020). Advancing Imaging of the Hip: Cartilage. In: Beaulé, P. (eds) Hip Dysplasia. Springer, Cham. https://doi.org/10.1007/978-3-030-33358-4_7
Download citation
DOI: https://doi.org/10.1007/978-3-030-33358-4_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-33357-7
Online ISBN: 978-3-030-33358-4
eBook Packages: MedicineMedicine (R0)