Abstract
Objectives:
The goal of this study was to demonstrate feasibility of measuring extracellular pH (pHe) in cartilage and meniscus using acidoCEST-UTE MRI.
Materials and Methods:
Magnetization transfer ratio asymmetry (MTRasym), RF power mismatch (RPM), and relative saturation transfer (RST) were evaluated in liquid phantoms for iopromide, iopamidol, and iohexol over a pH range of 6.2–7.8, at various agent concentrations, temperatures, and buffer concentrations. Tissue phantoms containing cartilage and meniscus were evaluated with the same considerations for iopamidol and iohexol. Phantoms were imaged with the acidoCEST-UTE MRI sequence at 3T. Correlation coefficients and coefficients of variations were calculated. Paired Wilcoxon Rank-Sum tests were used to evaluate for statistically significant differences.
Results:
RPM and RST analyses of liquid phantoms showed iopamidol and iohexol to be the most promising agents for this study. Both these agents appeared to be concentration independent and feasible for use with or without buffer and at physiologic temperature over a pH range of 6.2–7.8. Ultimately, RPM fitting of iohexol showed the strongest correlation coefficients between cartilage, meniscus, and fluid. In addition, ratiometric values for iohexol are similar among liquid as well as different tissue types.
Conclusion:
Measuring pHe in cartilage and meniscus using acidoCEST-UTE MRI is feasible.
INTRODUCTION
Osteoarthritis is a common disease which has substantial impact on affected individuals, healthcare systems, and society as a whole (1). Imaging is important for the diagnosis and management of osteoarthritis, and magnetic resonance (MR) imaging is widely considered the most comprehensive modality for assessment of the joint (2). Conventional clinical MR imaging is highly sensitive for gross morphological abnormities, such as chondral fissures or meniscal tears. Using more research-oriented, relaxation-based techniques, including T2, T2*, dGEMRIC, and T1ρ, more sensitive quantitative measurements can be made on joint tissues (3). Of note, however, all of these methods either focus on or are strongly influenced by structural changes. Unfortunately, the reality is that once the collagen network is degraded, it has reached an irreversible state (4). Furthermore, structural assessment can be limited due to its poor correlations with patient symptoms (5). Development of imaging techniques that identify earlier changes or provide complementary information that may improve correlations with patient symptoms would be highly beneficial.
It is now widely accepted that osteoarthritis is not just a structural wear-and-tear disease, but an active, biochemically-mediated process (6). An important component of normal physiology and tissue function is acid-base homeostasis and pH regulation. For instance, degradation of the extra-cellular matrix of cartilage is orchestrated by matrix metalloproteinases (MMPs) and a disintegrin and metalloproteinase with thrombospondin type I motifs (ADAMTSs) (7). Expression and function of several of these proteins is influenced by extracellular pH (pHe) (8, 9). In addition, aberrant neurovascular invasion at the osteochondral junction is mediated by osteoclasts, which dissolve mineral by massive acid secretion (10, 11). The nociceptors in these osteochondral channels and in osteoarthritic menisci can be either directly activated or sensitized by protons through acid-sensing ion channels (ASICs) (12, 13).
Recently, pHe-sensitive MR imaging has been performed with chemical exchange saturation transfer (CEST) after administration of FDA and EMA-approved contrast agents typically used with computed tomography (CT), termed acidoCEST MR imaging (14). AcidoCEST measures the CEST signals produced by the exchange of protons between amide side chains and water. The CEST signal is linearly correlated with pH since the exchange is base-catalyzed (15). Evaluation of tissue pH using acidoCEST has primarily focused on oncologic applications (16, 17) and has not yet been used on diarthrodial joint tissues. Furthermore, readouts used with acidoCEST have included gradient sequences (spoiled or steady-state), fast-spin echo (FSE), or echo planar imaging, all with typically longer echo times. These would be less optimal for musculoskeletal tissues with short transverse relaxation times, such as deep layers of cartilage when oriented parallel to B0 (18, 19) and menisci, for which ultrashort echo time (UTE) sequences would be more ideal (20).
The purpose of our study was to show feasibility of measuring pHe in cartilage and menisci using the acidoCEST technique with a 3D UTE readout (acidoCEST-UTE) on a clinical 3T scanner. Towards this goal, numerous experimental variables were investigated, including 1) those related to the solution (contrast agent, concentration, presence of buffer, and temperature), 2) those related to the sequence (saturation power), and 3) those related to signal processing (ratiometric analysis based on saturation transfer or radiofrequency power).
MATERIALS AND METHODS
This phantom and ex vivo study was exempted from institutional review board (IRB) approval.
Chemicals
Commercially purchased stock solutions of iopamidol at 972 mM concentration (370 mgI/mL Isovue, Bracco Imaging S.p.A, Milan, Italy), iopromide at 972 mM concentration (370 mgI/mL Ultravist, Bayer Healthcare Pharmaceuticals LLC, Berlin, Germany), and iohexol at 920 mM concentration (350 mgI/mL Omnipaque, GE Healthcare, Chicago, IL) were used in this study. All other chemicals were purchased from Sigma-Aldrich (St Louis, MO).
Phantom Preparation
An initial set of samples was prepared with all three contrast agents at 50 and 200 mM concentrations using either concentrated phosphate buffered saline (PBS) to achieve a final concentration of 10 mM of PBS or normal saline without buffer. For each condition, pH of samples was varied between 6.2 to 7.8 as measured with a calibrated pH electrode (LE422, FiveEasy F20 bench meter, Mettler Toledo, Columbus, OH). To further assess the effects of buffer, phantoms were created using iopamidol or iohexol and phosphate buffered saline to achieve 200 mM final contrast concentration and 5, 10, 20, and 40 mM final concentrations of phosphate buffered saline for pH 6.6 and 7.2. A second set of phantoms was created using iopamidol and iohexol and concentrated phosphate buffered saline to achieve 30 to 300 mM contrast concentration and 10 mM final concentration of phosphate buffered saline at pH values of 6.6 and 7.2. A third set of ex vivo cartilage and menisci tissue phantoms were created using iopamidol and iohexol between 100 to 400 mM concentration and 10 mM final concentration of phosphate buffered saline at pH values ranging between 6.2 and 7.8. Only grossly normal tissues were used in this study, harvested from 4 male donors (31, 53, 54, and 80-years of age at death). In brief, coins of pure cartilage were created from osteochondral cores, all from various locations within the joint. Menisci slices were also harvested. Tissues were soaked in the solution for at least 96 hours and solutions and tissue surface pH values were tested using an electrode (LE427 solid tissue electrode, FiveEasy F20 bench meter, Mettler Toledo, Columbus, OH) after scanning to ensure pH stability. All phantoms were cylindrical in shape, either in sealed plastic transfer pipette heads or syringes. These were then placed into a cylindrical container filled with Fomblin (Ausimont, Thorofare, NJ) and scanned parallel to B0 at isocenter to minimize susceptibility. All three sets of phantoms were scanned at both 23°C and at physiologic temperature (35°C), which was maintained using an MRI-compatible, regulated air heater that was created in-house with a hair-dryer fan, insulated hoses, fiber optic sensors, and a Styrofoam box. Temperatures inside of the box were tested and could be maintained within ± 0.2°C for over 4 hours.
Magnetic Resonance Imaging
All imaging was performed on a 3T clinical scanner (MR750, GE Healthcare, Milwaukee, WI) using an 8-channel transmit/receive knee coil. The 3D UTE sequence using spiral trajectories with conical view ordering was used for the readout (21, 22). For the liquid phantom scans, the 3D acidoCEST-UTE sequence (Figure 1) parameters used were: TR = 62 ms, TE = 0.032 ms, number of spokes (Nsp) = 5, spoke interval (τ) = 5 ms, flip angle (FA) = 5°, BW = 166 kHz, FOV = 12 × 12 × 11.2 cm3, matrix = 160 × 160 × 28. CEST contrast was created with a Fermi pulse: duration = 32 ms, bandwidth = 40 Hz, B1s = 0.54 (300°) and 1.1 μT (600°) as calculated by power average (23), 55 frequency offsets from −1080 to 1080 Hz in 40 Hz increments, with 1 minute 10 second scan time per frequency. Steady-state before acquisition was achieved using an 8 second dummy scan. For the ex vivo cartilage and meniscus phantom scans, the sequence parameters were identical to the liquid phantoms except for higher resolution (FOV = 12 × 12 × 14.4 cm3, matrix = 160 × 160 × 48) and resultant 2-minute scan time per frequency. 3D fast spin echo (FSE) images were also obtained using higher in-plane resolution at 256 × 256, TR = 1,600 ms, and TE = 40 ms to improve visibility of tissue structures and boundaries. To correct for B0 inhomogeneity, a dual-echo UTE sequence with TEs = 0.032 and 2.2 ms were used to generate the B0 map with other sequence parameters including FA = 8°, TR = 20 ms and half in-plane resolution and same through plane resolution as the CEST sequence.
Data Analysis
All data was processed using a home-developed MATLAB code (The Mathworks, Inc., Natick, MA, USA, R2016b). Each frequency-offset data was smoothed using a 3D Gaussian kernel with standard deviation of 0.8. The Z-spectrum was then obtained by interpolating the frequency-offset data points with splines in order to determine the exact locations of the frequency offsets of bulk water and CEST peaks (i.e. 0, 4.2, 4.3 and 5.6 ppm). All data was then corrected by frequency shifting based on the measured B0 maps. The magnetization transfer ratio asymmetry (MTRasym) was calculated by:
[1] |
where Δw is the frequency offset. I(Δw) and I(−Δw) are the signal intensities at the frequency offsets of Δw and −Δw, respecitively. I0 is the signal intensity without the saturation pulse. Moreover, the saturation transfer (ST) was determined by
[2] |
Based on the obtained MTRasym and ST values, the ratio of the RF power mismatch (RPM) (24) and the relative saturation transfer (RST) (25) can be determined by
[3] |
and
[4] |
respectively. The index RF 1 and RF 2 refer to two different RF powers at the same CEST peak. Peak 1 and peak 2 refer to two different CEST peaks at the same power. For the RPM calculations for all the CEST peaks in iopromide (4.2 and 5.6 ppm), iopamidol (4.2 and 5.6 ppm) and iohexol (4.3 ppm), the flip angle of RF 1 is lower than that of RF 2. For the RST calculations of iopromide and iopamidol, the frequency offsets of peak 1 and peak 2 are 5.6 ppm and 4.2 ppm, respectively.
Statistical Analysis
Statistical calculations were performed using SPSS (SPSS version 21; SPSS, Chicago, IL). The paired Wilcoxon Rank-Sum test was used to evaluate for statistically significant differences between MTRasym for each of the contrast agents with or without added buffer and at when scanned at 23°C and 35°C. P values less than 0.05 were considered statistically significant. The coefficient of variation for the iopamidol and iohexol with 0 to 40 mM buffer was calculated as CoV = standard deviation/mean.
RESULTS
Iopamidol and iopromide both carry unique amide groups which produce CEST effects at 4.2 and 5.6 ppm (Figures 2A and E), while iohexol contains one amide group which produces CEST effect at 4.3 ppm (Figure 2I). A comparison between the three agents at 200 mM contrast concentration, pH 6.3 and at 35°C highlights Z-spectra differences, with notable increases in MTRasym as flip angle increases from 0.54 to 1.1 μT (Figures 2B, F, and J). From pH 6.2 to 7.8 at 35°C, MTRasym ranges for iopromide at 0.54 μT were 3.32–9.24 at 4.2 ppm and 0.68–2.0 at 5.6 ppm, and at 1.1 μT were 11.84–15.93 at 4.2 ppm and 2.96–8.83 at 5.6 ppm. For iopamidol at 35°C, MTRasym ranges at 0.54 μT were 3.14–15.49 at 4.2 ppm and 1.52–5.14 at 5.6 ppm, and at 1.1 μT were 12.62–30.62 at 4.2 ppm and 6.59–15.41 at 5.6 ppm. For iohexol at 35°C, MTRasym ranges at 4.3 ppm were 4.05–13.08 at 0.54 μT and 14.66–25.77 at 1.1 μT. For iopromide, RPM for these two flip angles yielded better performance for the 4.2 ppm peak compared with the 5.6 ppm peak (Figure 2C). For iopamidol, the RPM for the 4.2 ppm peak performed better than the 5.6 ppm peak (Figure 2G). For iohexol, the 4.3 ppm peak showed good performance (Figure 2K). Of the three agents, RPM for the 4.2 ppm peak using iopamidol showed the most linear relationship with pH. RST did not perform well for iopromide (Figure 2D) or iopamidol (Figure 2H). Based on this data, iopamidol and iohexol were selected for use in the subsequent phantom studies, so as to include one agent with two CEST peaks and one with one CEST peak. Iopamidol was selected over iopromide due to having a larger maximal CEST effect over the tested pH range (30.62 versus 15.93, respectively, for the 4.2 ppm peak at 1.1 μT irradiation). Subsequent tests with iopamidol focused on RPM at the 4.2 ppm peak, as this showed a more linear relationship to pH than the 5.6 ppm peak or with RST analysis.
Varying contrast agent concentration from 50 to 300 mM in liquid phantoms had no notable effect on RPM at 4.2 ppm for pH 6.6 or 7.2 using iopamidol (Figure 3A) or iohexol (Figure 3C). RST of iopamidol at pH 6.6 and 7.2 were likewise not notably affected over the same range of concentrations (Figure 3B). Similar results were obtained using phantoms containing cartilage and meniscus samples in a pH 6.6 solution at a range of concentration from 100 to 300 mM (Figures 3D–F).
With regards to the effect of buffer at 23°C, a paired Wilcoxon Rank-Sum test showed that there was no significant difference in MTRasym for 200 mM of iopamidol with or without added 10 mM buffer for pH 6.2 to 7.8 at the 4.2 ppm peak using B1 values of 0.54 μT (p = 0.345) and 1.1 μT (p = 0.255), or at the 5.6 ppm peak at 0.54 μT (p = 0.225) and 1.1 μT (p = 0.893). Similarly, a Wilcoxon Rank-Sum test showed that there was no significant difference in MTRasym for 200 mM of iohexol with or without added buffer for pH 6.2 to 7.8 at 0.54 μT (p = 0.138) and 1.1 μT (p = 0.080) at 23°C. Assessment of 200 mM of iopamidol with 0 to 40 mM phosphate buffered saline at 35°C demonstrated a 3.9–13.2% CoV for RPM at 5.6 ppm (Supplemental Figure 1A) and 6.8–12.8% at 4.2 ppm (Supplemental Figure 1B). Assessment of 200 mM of iohexol with 0 to 40 mM phosphate buffered saline at 35°C demonstrated a 5.9–7.5% CoV for RPM at 4.3 ppm (Supplemental Figure 1C).
For iopamidol, a paired Wilcoxon Rank-Sum test showed that overall CEST effects increased from room temperature to physiologic temperature (35°C) for the 4.2 ppm peak at 1.1 μT (p = 0.005), although no significant difference was detected at 0.54 μT (p = 0.386). For the 5.6 ppm peak of iopamidol, a paired Wilcoxon Rank-Sum test showed that CEST effects decreased at both 0.54 μT (p = 0.017) and 1.1 μT (0.047). A paired Wilcoxon Rank-Sum test showed that overall CEST effects For iohexol decreased at 1.1 μT (p = 0.005), although no significant difference was detected at 0.54 μT (p = 0.241).
Phosphate-buffered phantoms containing 200 mM of contrast and samples of cartilage and meniscus were evaluated over a pH range of 6.2 to 7.8, and fit of each curve from tissue was compared to the fit of the fluid portion of the respective phantom. RPM of iopamidol was evaluated at 4.2 ppm (Figure 4A), as well as RST at 1.1 μT (Figure 4B). RPM of iohexol was evaluated at 4.3 ppm (Figure 4C) and shows superior correlations between fluid, cartilage, and meniscus. Notably, the slope and intercepts between fluid and tissues are the most similar for iohexol. Figure 5A shows the composition of the tissue phantoms and Figure 5B shows a representative FSE image which was used to delineate the boundaries of cartilage and meniscus in order to facilitate ROI selection for analysis. Pixel maps of pH were generated for the iohexol phantoms using the fluid fit as a calibration curve, with the equation y = 1.56× −8.39 (Figure 5C). The pH of fluid within each phantom was confirmed with a pH meter before and after scanning. Based on the MTRasym values in the cartilage and menisci after 96 hours of soaking in 200 mM solution, contrast concentrations reached ~100 mM in the tissue.
DISCUSSION
In this study, we investigated the capability of the acidoCEST-UTE technique to measure pHe in liquid phantoms and ex vivo cartilage and menisci phantoms using a 3T clinical scanner. Assessment of joint tissue pHe may have considerable significance, but has only been previously performed using highly invasive electrodes during open joint surgery (9). The results from our study suggest that bathing the joint tissues with FDA and EMA-approved iodinated contrast agents (specifically iohexol or iopamidol), allowing sufficient time for contrast diffusion into the tissues, and subsequent scanning with the acidoCEST-UTE technique may be an alternative method to electrode testing for measurement of pHe. Of note, intra-articular injection of contrast is minimally invasive and routinely performed in clinical practice (e.g. conventional radiographic, CT or MR arthrography). For routine clinical CT arthrography of the knee, typically 35 to 50 mL of total volume is injected (26) and 50 to 100% of the total volume can consist of iodinated contrast (27). Compared with other exogenous CEST applications, where contrast is injected intravenously and must permeate the tissue of interest, the diarthrodial joint may be unique in that direct administration of contrast is relatively easy and commonly performed. Much higher local contrast concentrations and therefore higher CEST effects would be expected compared with intravenous administration of contrast.
Clinically compatible pHe sensitive imaging techniques have received increasing interest in recent years and a number of techniques have been explored, including optical imaging techniques (28), positron emission tomography (29), and multinuclear MR spectroscopy (30). However, each of these has practical limitations for in vivo translation, including depth limitations, requirements for radioactive compounds produced by cyclotrons, and limited spatial resolution, respectively. Other pHe sensitive MR imaging techniques also exist, including gagCEST (31) and R1ρ dispersion (32), however these may be less suitable for pH measurement of joint tissues since they are both sensitive to changes in tissue composition, such as glycosaminoglycans (GAG) (33, 34). The acidoCEST technique overcomes most of these limitations. Specifically, the whole joint can be imaged with sufficient spatial resolution to identify individual joint structures, iohexol and iopamidol are available off-the-shelf, and both are already approved for intra-articular administration. Furthermore, pHe imaging with acidoCEST is not confounded by variations in local GAG concentration (31).
A number of iodinated contrast agents have been used with the acidoCEST technique. However, to our knowledge, only iopamidol has been investigated on a 3T clinical scanner (17, 35). Using the acidoCEST-UTE technique at 3T, we compared iopromide, iohexol, and iopamidol and found that all three agents were sensitive to pH using one of the ratiometric approaches. Overall our results are consistent with previous studies that have also found significant correlations between CEST ratios and pH with iopromide (14, 31, 36), iopamidol (25, 36–38), and iohexol (39). However, iopromide demonstrated the lowest CEST effects of the three. Similar to our results, Moon et al. performed a comparison between iopromide and iopamidol and found lower CEST effect for both the 4.2 and 5.6 ppm peaks with iopromide compared with iopamidol (36).
Saturation powers ranging from 0.54 (300°) to 1.1 μT (600°) were used in our study, which is in range with previous 3T acidoCEST studies which used saturation powers from 0.2 μT to 1.5 μT (17, 35). While the saturation efficiency with the powers used in our study was sufficient to detect CEST effects in phantoms and in vivo, the larger CEST effect was seen with 1.1 μT irradiation over 0.54 μT, as expected. When using a knee coil for RF transmission, even higher powers than 1.1 μT can be used while still operating with specific absorption rate (SAR) limitations (34). When using higher powers, though, other considerations such as increasing contributions from magnetization transfer (40) or broadening resulting in inadvertent saturation of other frequencies should be kept in mind.
We also examined several other variables that affect pH quantification, including contrast concentration, buffer type, and temperature. For the range of contrast concentrations used in this experiment (30 to 300 mM), both iohexol and iopamidol with ratiometric analyses were concentration independent. Our results are similar to a number of previous studies, including Müller-Lutz et al. who found that iopamidol was concentration-independent when imaged at 3T over a range of 20–160 mM (35). Buffers should be considered for CEST experiments since they can potentially alter exchange rates in a complex manner (41). The mechanism is not fully understood, but the effect can differ between exchange sites present on the same molecule (42). Our results suggest that the presence and concentration of phosphate buffer does not significantly alter CEST effects or ratiometric analyses at the amide group peaks on iohexol or iopamidol. With regards to temperature, higher temperatures increase water exchange rates, resulting in broader CEST peaks (43). The effect on CEST effect depends in part on the exchange rate at a particular field strength and can also differ between exchange sites present on the same molecule (43, 44). Overall, our results indicate that CEST effects increased from room temperature to 35°C for iohexol and iopamidol at the 4.2 ppm peak, but mildly decreased for the 5.6 ppm peak on iopamidol. Our iopamidol results are similar to those reported by Moon et al. (36). Ratiometric analyses differed between the two temperatures, however, confirming that calibration with pH should be made at the appropriate temperature.
In addition to the conventional saturation transfer ratiometric approach, we utilized the RF power-based ratiometric approach as described by Longo et al (24). For iopamidol, we found comparable performance of the saturation transfer ratio compared with the RF power-based ratio at 4.2 ppm. However, iohexol contains only a single set of amide protons, and therefore can only be analyzed using the RF power-based ratiometric approach. Overall, our results suggest that iohexol is the preferred agent since the strongest correlation coefficients between ratiometric analyses and pH were seen. Furthermore, an important consideration that supports the use of iohexol is the very similar ratiometric (RPM) values between liquid, cartilage, and meniscus. Use of a single pH calibration scale that is composition independent would facilitate interpretation. Longo et al. found that RST after iopamidol administration yielded similar values between liquid and tumor homogenate (37). The differences in our results may be related to differences in scanner performance (pre-clinical versus clinical) or in tissue composition (homogenized tumor versus solid musculoskeletal tissue).
Our study has several limitations. First, our ex vivo tissues were soaked for 96 hours to ensure homogeneous contrast diffusion and pH equilibration based on prior literature (45). Notable differences in vivo exist, including considerably shorter times for contrast penetration. Specifically, contrast flux is greatly accelerated with mechanical convection, and adequate contrast penetration could be expected in as short as one hour in a patient who is mobile (46), particularly with non-ionic contrast agents such as those used in our study (47). Furthermore, local pH would be expected to be maintained in the in vivo condition. Chen et al. previously demonstrated that the pH of the injection solution did not influence the tumor tissue pH measurement when performed in vivo (14). In the joint, pH of tissue extracellular matrix is maintained by resident cells such as chondrocytes, and is typically lower than that of synovial fluid (6). Second, the scan time for the acidoCEST-UTE technique is long, in part due to the use of multiple RF irradiation powers. However, for future in vivo studies, it would be recommended that the total number of datasets be lowered, focused near the frequencies of the CEST effect (±4.3 ppm in the case of iohexol). In addition, other opportunities for acceleration exist, including smaller coverage in the patient’s location of pain, increasing the number of Cones spokes per preparation (22), and utilization of parallel imaging or compressed sensing reconstruction. Third, an alternative method of data analysis involves fitting of the CEST spectra using Bloch equations modified for chemical exchange. Although this has been reported to be superior to ratiometric analyses (17), unfortunately many more datasets are required over ratiometric approaches. Therefore, this is less suited for in vivo imaging of the knee using 3D sequences. Fourth, CEST techniques are expected to perform better at higher field strengths, and future experiments should consider use of 7T scanners which are now available for human use (48, 49). Finally, our technique was used on ex vivo tissue only and we have not yet translated the acidoCEST-UTE technique in humans. However, due to the large number of considerations examined in this study, identification of the best contrast agent and technique variables prior to human use is mandatory. In an upcoming experiment we plan to perform the technique in subjects who will undergo subsequent total knee replacement, thus providing the opportunity to correlate MR and electrode pH measurements as well as potentially demonstrate the significance of the pH measurement.
In conclusion, measuring pHe in cartilage and meniscus using acidoCEST-UTE MRI is feasible.
Supplementary Material
Grant Support:
The authors gratefully acknowledge grant support from the VA Rehabilitation Research and Development Service (Merit Award I01RX002604), VA Clinical Science Research and Development Service (Merit Award I01CX001388), and NIH (2R01AR062581, 1R01AR068987, and 1R21AR073496)
REFERENCES
- 1.Hunter DJ, Schofield D, Callander E. The individual and socioeconomic impact of osteoarthritis. Nat Rev Rheumatol. 2014;10(7):437–41. [DOI] [PubMed] [Google Scholar]
- 2.Hayashi D, Roemer FW, Jarraya M, Guermazi A. Imaging in Osteoarthritis. Radiol Clin North Am. 2017;55(5):1085–102. [DOI] [PubMed] [Google Scholar]
- 3.Chang EY, Ma Y, Du J. MR Parametric Mapping as a Biomarker of Early Joint Degeneration. Sports Health. 2016;8(5):405–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Loeser RF, Goldring SR, Scanzello CR, Goldring MB. Osteoarthritis: a disease of the joint as an organ. Arthritis Rheum. 2012;64(6):1697–707. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Yusuf E, Kortekaas MC, Watt I, et al. Do knee abnormalities visualised on MRI explain knee pain in knee osteoarthritis? A systematic review. Ann Rheum Dis. 2011;70(1):60–7. [DOI] [PubMed] [Google Scholar]
- 6.Smith DW. Cartilage Tissue Homeostasis In: Smith DW, Gardiner BS, Zhang L, Grodzinsky AJ, eds. Articular cartilage dynamics. New York, NY: Springer Berlin Heidelberg; 2018:65–243. [Google Scholar]
- 7.Murphy G, Lee MH. What are the roles of metalloproteinases in cartilage and bone damage? Ann Rheum Dis. 2005;64 Suppl 4:iv44–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Razaq S, Wilkins RJ, Urban JP. The effect of extracellular pH on matrix turnover by cells of the bovine nucleus pulposus. Eur Spine J. 2003;12(4):341–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Konttinen YT, Mandelin J, Li TF, et al. Acidic cysteine endoproteinase cathepsin K in the degeneration of the superficial articular hyaline cartilage in osteoarthritis. Arthritis Rheum. 2002;46(4):953–60. [DOI] [PubMed] [Google Scholar]
- 10.Blair HC. How the osteoclast degrades bone. Bioessays. 1998;20(10):837–46. [DOI] [PubMed] [Google Scholar]
- 11.Walsh DA, McWilliams DF, Turley MJ, et al. Angiogenesis and nerve growth factor at the osteochondral junction in rheumatoid arthritis and osteoarthritis. Rheumatology (Oxford). 2010;49(10):1852–61. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Abdelhamid RE, Sluka KA. ASICs Mediate Pain and Inflammation in Musculoskeletal Diseases. Physiology (Bethesda). 2015;30(6):449–59. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Deval E, Lingueglia E. Acid-Sensing Ion Channels and nociception in the peripheral and central nervous systems. Neuropharmacology. 2015;94:49–57. [DOI] [PubMed] [Google Scholar]
- 14.Chen LQ, Howison CM, Jeffery JJ, et al. Evaluations of extracellular pH within in vivo tumors using acidoCEST MRI. Magn Reson Med. 2014;72(5):1408–17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Ward KM, Balaban RS. Determination of pH using water protons and chemical exchange dependent saturation transfer (CEST). Magn Reson Med. 2000;44(5):799–802. [DOI] [PubMed] [Google Scholar]
- 16.Lindeman LR, Randtke EA, High RA, et al. A comparison of exogenous and endogenous CEST MRI methods for evaluating in vivo pH. Magn Reson Med. 2018;79(5):2766–72. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Jones KM, Randtke EA, Yoshimaru ES, et al. Clinical Translation of Tumor Acidosis Measurements with AcidoCEST MRI. Mol Imaging Biol. 2017;19(4):617–25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Goodwin DW. MR imaging of the articular cartilage of the knee. Semin Musculoskelet Radiol. 2009;13(4):326–39. [DOI] [PubMed] [Google Scholar]
- 19.Goodwin DW, Wadghiri YZ, Zhu H, et al. Macroscopic structure of articular cartilage of the tibial plateau: influence of a characteristic matrix architecture on MRI appearance. AJR Am J Roentgenol. 2004;182(2):311–8. [DOI] [PubMed] [Google Scholar]
- 20.Chang EY, Du J, Chung CB. UTE imaging in the musculoskeletal system. J Magn Reson Imaging. 2015;41(4):870–83. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Gurney PT, Hargreaves BA, Nishimura DG. Design and analysis of a practical 3D cones trajectory. Magn Reson Med. 2006;55(3):575–82. [DOI] [PubMed] [Google Scholar]
- 22.Ma YJ, Chang EY, Carl M, Du J. Quantitative magnetization transfer ultrashort echo time imaging using a time-efficient 3D multispoke Cones sequence. Magn Reson Med. 2018;79(2):692–700. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Zu Z, Li K, Janve VA, et al. Optimizing pulsed-chemical exchange saturation transfer imaging sequences. Magn Reson Med. 2011;66(4):1100–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Longo DL, Sun PZ, Consolino L, et al. A general MRI-CEST ratiometric approach for pH imaging: demonstration of in vivo pH mapping with iobitridol. J Am Chem Soc. 2014;136(41):14333–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Longo DL, Dastru W, Digilio G, et al. Iopamidol as a responsive MRI-chemical exchange saturation transfer contrast agent for pH mapping of kidneys: In vivo studies in mice at 7 T. Magn Reson Med. 2011;65(1):202–11. [DOI] [PubMed] [Google Scholar]
- 26.Chung CB, Isaza IL, Angulo M, et al. MR arthrography of the knee: how, why, when. Radiol Clin North Am. 2005;43(4):733–46, viii–ix. [DOI] [PubMed] [Google Scholar]
- 27.Kalke RJ, Di Primio GA, Schweitzer ME. MR and CT arthrography of the knee. Semin Musculoskelet Radiol. 2012;16(1):57–68. [DOI] [PubMed] [Google Scholar]
- 28.Schreml S, Meier RJ, Wolfbeis OS, et al. 2D luminescence imaging of pH in vivo. Proc Natl Acad Sci U S A. 2011;108(6):2432–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Vavere AL, Biddlecombe GB, Spees WM, et al. A novel technology for the imaging of acidic prostate tumors by positron emission tomography. Cancer Res. 2009;69(10):4510–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Miloushev VZ, Keshari KR, Holodny AI. Hyperpolarization MRI: Preclinical Models and Potential Applications in Neuroradiology. Top Magn Reson Imaging. 2016;25(1):31–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Melkus G, Grabau M, Karampinos DC, Majumdar S. Ex vivo porcine model to measure pH dependence of chemical exchange saturation transfer effect of glycosaminoglycan in the intervertebral disc. Magn Reson Med. 2014;71(5):1743–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Zu Z, Li H, Jiang X, Gore JC. Spin-lock imaging of exogenous exchange-based contrast agents to assess tissue pH. Magn Reson Med. 2018;79(1):298–305. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Wang P, Block J, Gore JC. Chemical exchange in knee cartilage assessed by R1rho (1/T1rho) dispersion at 3T. Magn Reson Imaging. 2015;33(1):38–42. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Singh A, Haris M, Cai K, et al. Chemical exchange saturation transfer magnetic resonance imaging of human knee cartilage at 3 T and 7 T. Magn Reson Med. 2012;68(2):588–94. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Muller-Lutz A, Khalil N, Schmitt B, et al. Pilot study of Iopamidol-based quantitative pH imaging on a clinical 3T MR scanner. MAGMA. 2014;27(6):477–85. [DOI] [PubMed] [Google Scholar]
- 36.Moon BF, Jones KM, Chen LQ, et al. A comparison of iopromide and iopamidol, two acidoCEST MRI contrast media that measure tumor extracellular pH. Contrast Media Mol Imaging. 2015;10(6):446–55. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Longo DL, Bartoli A, Consolino L, et al. In Vivo Imaging of Tumor Metabolism and Acidosis by Combining PET and MRI-CEST pH Imaging. Cancer Res. 2016;76(22):6463–70. [DOI] [PubMed] [Google Scholar]
- 38.Wu Y, Zhou IY, Igarashi T, et al. A generalized ratiometric chemical exchange saturation transfer (CEST) MRI approach for mapping renal pH using iopamidol. Magn Reson Med. 2018;79(3):1553–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Longo DL, Michelotti F, Consolino L, et al. In Vitro and In Vivo Assessment of Nonionic Iodinated Radiographic Molecules as Chemical Exchange Saturation Transfer Magnetic Resonance Imaging Tumor Perfusion Agents. Invest Radiol. 2016;51(3):155–62. [DOI] [PubMed] [Google Scholar]
- 40.Desmond KL, Stanisz GJ. Understanding quantitative pulsed CEST in the presence of MT. Magn Reson Med. 2012;67(4):979–90. [DOI] [PubMed] [Google Scholar]
- 41.Liepinsh E, Otting G. Proton exchange rates from amino acid side chains--implications for image contrast. Magn Reson Med. 1996;35(1):30–42. [DOI] [PubMed] [Google Scholar]
- 42.Ward KM, Aletras AH, Balaban RS. A new class of contrast agents for MRI based on proton chemical exchange dependent saturation transfer (CEST). J Magn Reson. 2000;143(1):79–87. [DOI] [PubMed] [Google Scholar]
- 43.van Zijl PC, Yadav NN. Chemical exchange saturation transfer (CEST): what is in a name and what isn’t? Magn Reson Med. 2011;65(4):927–48. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Sheth VR, Liu G, Li Y, Pagel MD. Improved pH measurements with a single PARACEST MRI contrast agent. Contrast Media Mol Imaging. 2012;7(1):26–34. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Silvast TS, Kokkonen HT, Jurvelin JS, et al. Diffusion and near-equilibrium distribution of MRI and CT contrast agents in articular cartilage. Phys Med Biol. 2009;54(22):6823–36. [DOI] [PubMed] [Google Scholar]
- 46.Entezari V, Bansal PN, Stewart RC, et al. Effect of mechanical convection on the partitioning of an anionic iodinated contrast agent in intact patellar cartilage. J Orthop Res. 2014;32(10):1333–40. [DOI] [PubMed] [Google Scholar]
- 47.Yoo HJ, Hong SH, Choi JY, et al. Contrast-enhanced CT of articular cartilage: experimental study for quantification of glycosaminoglycan content in articular cartilage. Radiology. 2011;261(3):805–12. [DOI] [PubMed] [Google Scholar]
- 48.Friebe B, Richter M, Penzlin S, et al. Assessment of Low-Grade Meniscal and Cartilage Damage of the Knee at 7 T: A Comparison to 3 T Imaging With Arthroscopic Correlation. Invest Radiol. 2018;53(7):390–6. [DOI] [PubMed] [Google Scholar]
- 49.Springer E, Bohndorf K, Juras V, et al. Comparison of Routine Knee Magnetic Resonance Imaging at 3 T and 7 T. Invest Radiol. 2017;52(1):42–54. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.