Abstract
OBJECTIVE
The purpose of the article is to review the diagnostic performance of ultrasound and MR elastography techniques for detection and staging of liver fibrosis, the main current clinical applications of elastography in the abdomen.
CONCLUSION
Technical and instrument-related factors and biologic and patient-related factors may constitute potential confounders of stiffness measurements for assessment of liver fibrosis. Future developments may expand the scope of elastography for monitoring liver fibrosis and predict complications of chronic liver disease.
Keywords: elasticity, elastography, liver fibrosis, MR elastography (MRE), MRI, ultrasound, viscosity
In abdominal imaging, liver stiffness estimated by elastography techniques may be used as a quantitative imaging biomarker for detection, staging, and monitoring of liver fibrosis [1–3]. Liver stiffness is used to evaluate the severity of the underlying chronic liver disease, guide treatment decision, assess disease outcome, and evaluate response to therapy [4].
In this second article of a two-part series [5], we will discuss the clinical applications in the liver. We will focus on diagnostic performance of ultrasound elastography and MR elastography techniques for detection, staging, and monitoring of liver fibrosis, the main current clinical applications of elastography in the abdomen. We will discuss potential confounders of stiffness measurements for assessment of liver fibrosis, which include technical and instrument-related factors (location and depth of measurements, wave frequencies, and device dependencies) and biologic and patient-related factors (concomitant hepatic steatosis, inflammation, cholestasis; breathing; right heart failure and hepatic venous congestion; and fasting vs postprandial state). Finally, we will briefly discuss future directions and technical innovations in this field of research.
As will be shown in this article, elastography techniques integrated to clinical ultrasound and MR systems now provide the capability to examine by imaging what once could be examined only by direct palpation, which is likely to open new opportunities to noninvasively diagnose disease, guide management, and improve outcomes.
Key Learning Points
First, the main current clinical indications for abdominal elastography techniques are detection and staging of liver fibrosis. In general, elastography techniques provide good-to-excellent diagnostic accuracy for the detection of advanced fibrosis but have more modest performance for detection of early or mild fibrosis. Most studies to date have been in adults; performance characteristics in children are less well known. Research is needed to better understand the performance of elastography for monitoring longitudinal changes in fibrosis. Emerging indications of elastography include detection of hepatic inflammation, assessment of portal hypertension, characterization of focal liver lesions, and evaluation of other abdominal organs.
Second, potential confounders when using stiffness for assessment of liver fibrosis include technical and instrument-related factors and biologic and patient-related factors. The former include location and depth of measurements, wave frequencies, and device dependencies. The latter include concomitant hepatic steatosis, inflammation, and cholestasis; breathing; right heart failure and hepatic venous congestion; and fasting versus postprandial state.
Third, measured stiffness is frequency dependent: in general, measured stiffness increases as the frequency of the shear waves increases. Different techniques use different frequencies; hence, observed stiffness values are technique dependent.
Fourth, various elastography techniques have advantages and limitations, and no single technique currently can be recommended as optimal for all indications and circumstances. Depending on the indication (screening, diagnosis, or monitoring of liver fibrosis), different modalities may be preferred. Ultrasound elastography techniques are relatively inexpensive, portable, increasingly available, and generally provide good diagnostic accuracy for advanced fibrosis. Nevertheless, they sample relatively small portions of the liver and they may be unreliable in obese patients and those with narrow intercostal spaces. MR elastography samples larger portions of the liver and offers excellent diagnostic accuracy that probably slightly exceeds that of ultrasound-based techniques, but quality may be degraded in patients with marked iron deposition. Availability of the required hardware or software remains comparatively limited.
Finally, elastography techniques integrated to clinical ultrasound and MRI systems can assess mechanical properties in vivo. Radiologists should be familiar with these exciting new technical capabilities to examine by imaging what once could be examined only by direct palpation.
Clinical Applications in the Liver
Clinical applications of elastography in the liver include noninvasive assessment of fibrosis and characterization of focal lesions [6–9]. This article will focus on assessment of liver fibrosis. Most studies to date have been in adults. The performance characteristics of elastography techniques in children are less well known and require further study [10–15].
The clinical adoption of elastography techniques for assessment of liver fibrosis is based on the observation that liver stiffness increases with higher fibrosis stages [16–18]. The central concept is that collagen deposition and other microstructural changes associated with fibrosis impart parenchymal rigidity. Although fibrosis stages are categorized by pathologists using ordinal scores, typically from stage 0 to stage 4, the imaging literature has focused on the classification of patients into dichotomized fibrosis stages, mostly for the diagnosis of significant (stage ≥ 2) or advanced (stage ≥ 3) fibrosis. As opposed to dichotomized classification (e.g., stage 0–1 vs stages 2–4), prediction of exact fibrosis stage has not been explored in depth.
Histologically determined fibrosis stage is a semiquantitative assessment of cumulative liver injury based on the location and amount of excess collagen as well as associated remodeling of liver architecture [19, 20]. Because the location of collagen and the presence of remodeling contribute to the fibrosis stage, the fibrosis stage is not dictated solely by the total amount of collagen, and the relationship of fibrosis stage to total collagen content is not linear [21, 22]. Instead, as the fibrosis stage increases from stage 0 (no abnormal fibrosis) to higher stages, the total collagen content remains fairly stable until an advanced fibrosis stage is reached and then the total collagen content increases exponentially. It is likely that elastography is a more direct marker of total collagen content than fibrosis stage. Hence, we should not expect a linear relationship between stiffness and fibrosis stage, and clinical studies consistently have shown a curvilinear (exponential) relationship between fibrosis stage and stiffness. A corollary is that stiffness estimates tend to overlap in the lower fibrosis stages but to be separated in the higher fibrosis stages.
Diagnostic Performance
Several meta-analyses have been published on the diagnostic performance of 1D transient elastography [1, 23–25], point shear-wave elastography [3, 25], and MR elastography [2, 26] for noninvasive staging of liver fibrosis. These studies relied on histopathology as the reference standard. Although some studies have reported the diagnostic performance of shear-wave elastography [27, 28], other studies did not have liver biopsy as an independent reference standard for all patients [29, 30]. The pooled diagnostic performance and thresholds for staging of dichotomized liver fibrosis in the meta-analyses are summarized in Table 1 for ultrasound elastography and MR elastography techniques.
TABLE 1.
Summary of Meta-Analyses: Pooled Diagnostic Performance of Elastography Techniques for Staging of Liver Fibrosis
| Technique, Study | No. of Studies (No. of Patients) Included |
Implementation | Fibrosis Stage ≥ 1 | Fibrosis Stage ≥ 2 | Fibrosis Stage ≥ 3 | Fibrosis Stage 4 | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Cutoff | AUC | Sensitivity | Specificity | Cutoff | AUC | Sensitivity | Specificity | Cutoff | AUC | Sensitivity | Specificity | Cutoff | AUC | Sensitivity | Specificity | |||
| Ultrasound elastography | ||||||||||||||||||
| Talwalkar et al. [23] | 9 (2083) | 1D transient elastography | — | — | — | — | — | 0.8701 | 0.70 | 0.84 | — | — | — | — | — | 0.9567 | 0.87 | 0.91 |
| Friedrich-Rust et al. [1] | 50 (8433) | 1D transient elastography | — | — | — | — | 7.65 kPa | 0.84 | — | — | — | 0.89 | — | — | 13.01 kPa | 0.94 | — | — |
| Tsochatzis et al. [24] | 40 (7723) | 1D transient elastography | — | — | — | — | 7.0 kPa | — | 0.70 | 0.81 | 9.5 kPa | — | 0.80 | 0.85 | 12.0 kPa | — | 0.86 | 0.88 |
| Friedrich-Rust et al [3]. | 8 (518) | Point shear-wave elastography | — | — | — | — | 1.34 m/s | 0.87 | 0.79 | 0.85 | 1.55 m/s | 0.91 | 0.86 | 0.86 | 1.80 m/s | 0.93 | 0.92 | 0.86 |
| Bota et al. [25] | 13 (1163) | 1D transient elastography | — | — | — | — | — | 0.87 | 0.78 | 0.84 | — | — | — | — | — | 0.93 | 0.89 | 0.87 |
| Point shear-wave elastography | — | — | — | — | 1.30 m/s | 0.85 | 0.74 | 0.83 | — | — | — | — | 1.80 m/s | 0.93 | 0.87 | 0.87 | ||
| MR elastography | ||||||||||||||||||
| Wang et al. [2] | 5 (398) | Magnitude of complex shear modulus | — | 0.95 | — | — | — | 0.98 | 0.94 | 0.95 | — | 0.98 | 0.92 | 0.96 | — | 0.99 | — | — |
| Singh et al. [26] | 12 (697) | Complex (G′,G″) | 3.45 kPa | 0.84 | 73 | 79 | 3.66 kPa | 0.88 | 0.79 | 0.81 | 4.11 kPa | 0.93 | 0.85 | 0.85 | 4.71 kPa | 0.92 | 0.91 | 0.81 |
Note—Fibrosis was staged on a 5-point scale 0 (none) to 4 (cirrhosis) in the meta-analysis. Dash indicated not available. G′ = storage modulus, G″ = loss modulus.
The estimates of diagnostic performance (AUC, sensitivity, and specificity) for ultra-sound elastography techniques were similar in the three meta-analyses of 1D transient elastography and the meta-analysis of point shear-wave elastography. The two meta-analyses on the diagnostic performance of MR elastography reported higher AUCs, although the sensitivity and specificity were similar to those of ultrasound elastography techniques.
Comparison of Elastography Techniques
A few studies have directly compared different elastography techniques cross-sectionally with histopathology as the independent reference standard. Most studies that have compared ultrasound elastographic methods (point shear-wave elastography vs 1D transient elastography) have reported similar diagnostic performance for fibrosis staging in patients with chronic liver disease [31–34], chronic viral hepatitis [35], and nonalcoholic fatty liver disease [36, 37]. However, some of these studies have reported higher rates of technical failure or invalid measurements with 1D transient elastography than with point shear-wave elastography [31, 37, 38].
Two studies have reported higher diagnostic accuracy of ultrasound-based methods that generate shear waves using acoustic radiation-force impulses (point shear-wave elastography or shear-wave elastography) than with external vibration (1D transient elastography). A study by Rizzo et al. [38] in patients with chronic hepatitis C found higher accuracy with point shear-wave elastography than 1D transient elastography for the diagnosis of significant (stage ≥ 2) and severe (stage ≥ 3) fibrosis (p = 0.024 and p = 0.002, respectively). Similarly, a study by Ferraioli et al. [39] in patients with chronic hepatitis C found higher accuracy with shear-wave elastography than 1D transient elastography for staging significant fibrosis (stage ≥ 2) (p = 0.002); the diagnostic accuracy, as estimated by AUCs, was similar for staging of severe fibrosis (stage ≥ 3) and cirrhosis (stage 4) [39].
Studies that have compared MR elastography with ultrasound elastography methods have found different results depending on the techniques compared. A cross-sectional study by Huwart et al. [18] reported a higher technical success rate with an investigational form of MR elastography (94%) than with 1D transient elastography (84%). The AUC was significantly superior for MR elastography (0.994 for stage ≥ 2, 0.985 for stage ≥ 3, and 0.998 for stage 4) than for 1D transient elastography (0.837 for stage ≥ 2, 0.906 for stage ≥ 3, and 0.930 for stage 4).
Recently, Yoon et al. [40] compared the fibrosis staging accuracy of shear-wave elastography with MR elastography in patients undergoing liver biopsy for suspicion of chronic liver disease before liver transplantation and before hepatectomy or liver donation. The technical failure rates were similar for shear-wave elastography (2.33%) and MR elastography (4.65%). Among patients who had reliable results on both techniques, the AUCs were similar for detection of significant fibrosis (stage ≥ 2) (0.852 for shear-wave elastography and 0.853 for MR elastography).
Confounders of Stiffness Measurements
The accuracy of elastography techniques for assessment of fibrosis may be influenced by technical and instrument-related factors and biologic and patient-related factors. Some confounding factors may be technique or instrument specific, but it is reasonable to assume that the physiologic underpinning of several biologic and patient-related confounding factors should be equally applicable to ultrasound elastography and MR elastography.
Technical Confounders
Left Versus Right Lobe Measurements
In several studies, higher liver stiffness measurements were observed in the left than in the right liver lobe with ultrasound elastography techniques [31, 41–44]. Moreover, better accuracy and a lower rate of invalid measurements were observed by the inter-costal approach in the right lobe [37, 45]. It has been hypothesized that liver compression by the transducer, heart, or stomach may contribute to higher stiffness measurements in the left lobe. Hence, right lobe measurements by the intercostal approach, unaffected by the effect of probe compression against the liver parenchyma, are preferred.
Depth of Measurements
Higher stiffness measurements were observed close to the liver surface compared with deeper measurements performed with ultrasound elastography techniques [42, 46]. Correlation between liver stiffness and fibrosis stage is higher for measurements made at 1–3 cm below the liver capsule than for superficial measurements performed between 0 and 1 cm below the liver capsule [47]. On the basis of these observations, stiffness measurements acquired at least 1 cm below the liver capsule are advocated.
Wave Frequencies
The liver has been shown to display dispersive (i.e., frequency-dependent) behavior [48]. Hence, the choice of excitation frequency is critical in liver elastography to obtain the frequency-dependent viscoelastic properties of liver tissue. However, it is currently unclear which shear-wave frequency will provide the optimal discrimination ability for fibrosis staging.
Prior studies relied on different excitation frequencies depending on imaging technique and study subjects. For example, 1D transient elastography uses a lower excitation frequency of 50 Hz [17], whereas point shear-wave elastography and shear-wave elastography typically use higher frequencies [49, 50]. The choice of frequency used in those studies was partly dictated by technical constraints, such as transducer configuration and depth of tissue studied, because a higher frequency would result in wave amplitude dissipation and signal-to-noise ratio decrease. Commercial MR elastography typically uses a frequency of 60 Hz, although frequencies between 40 and 200 Hz have been investigated for clinical liver imaging [51–55].
Device Dependencies
Shear-wave speed measurement is not yet standardized across modalities, scanners, and transducers. These inconsistencies do not invalidate published results; rather, they make comparison of diagnostic cutoffs difficult, limit generalizability of results, and complicate the implementation of published cutoffs into individual practice. With time, we expect the terminology and the parameters to be standardized, which will facilitate meta-analysis, pooling of results, direct comparison of diagnostic cutoffs, and implementation of these techniques into clinical practice and clinical trials.
Because of the lack of standardization in terminology, shear-wave frequency, reported parameters, and other technical factors comparing different elastographic techniques can be challenging. The reported diagnostic thresholds for a specific condition, such as liver fibrosis, are technique dependent. This translates into a wide range of published elastographic thresholds for the staging of liver fibrosis [1–3, 56]. In particular, because shear-wave speed is related to the square root of the stiffness-related moduli (Young modulus, complex shear modulus), techniques that report shear-wave speed will appear to provide more closely spaced results than techniques that report a modulus. This should not be misinterpreted as signifying that techniques that report shear-wave speed are more limited as tissue classifiers.
Biologic Confounders
Hepatic Steatosis
The effect of steatosis on liver stiffness remains controversial. A clinical study evaluating point shear-wave elastography in patients with nonalcoholic fatty liver disease found lower stiffness in patients with simple steatosis but not fibrosis compared with healthy volunteers [36]. However, some MR elastography studies that assessed fat fraction on MRI did not find an effect of liver fat on liver stiffness [57–59]. Further studies are needed to determine definitively whether liver steatosis affects liver stiffness and if so whether the effect is frequency dependent.
Inflammation
Elastographic imaging techniques, which measure the elasticity (springlike behavior) and viscosity (dashpot-like behavior) of soft tissues, suggest that both elasticity and viscosity increase markedly with fibrosis, moderately with inflammation, and mildly with steatosis [36, 50, 60, 61]. Inflammation causes edema, which increases both elasticity and viscosity [62].
Cholestasis
Liver stiffness is also influenced by extrahepatic cholestasis. A clinical study evaluating liver stiffness in patients with extrahepatic bile duct obstruction showed elevated liver stiffness irrespective of fibrosis before ERCP and decreased liver stiffness 3–12 days after successful biliary drainage [63]. The relationship between liver stiffness and extrahepatic cholestasis was reproduced in a pig model of bile duct ligation [64]. Therefore, liver stiffness should be interpreted with caution in patients with biliary obstruction.
Breathing
Elastography measurements are acquired during breath-holding to minimize liver motion. Deep inspiration has been shown to increase stiffness measurements compared with resting expiratory position [65]. Hence, breath-hold at expiration is preferable to obtain consistent liver position between acquisitions and to avoid overestimation of liver stiffness.
Right Heart Failure
Liver stiffness is affected by central venous pressure as shown in an experimental animal study [64]. A clinical study has also confirmed higher liver stiffness in patients with decompensated heart failure at admission than after correction at discharge [66]. The presence of heart failure as a potential confounding factor should therefore be taken into consideration when measuring liver stiffness as a biomarker of liver fibrosis.
Hepatic Venous Congestion
Similarly, hepatic venous congestion also contributes to liver stiffness elevation. Serial measurements before and after treatment of venous stenosis either in the setting of an experimental murine model through partial ligation of the inferior vena cava [67] or in the setting of human liver transplantation have shown the potential confounding effect of hepatic venous congestion on liver stiffness [68].
Fasting Versus Postprandial State
Elastography measurements should be acquired in the fasting state because the post-prandial state may increase liver stiffness in patients with chronic liver disease, as assessed by ultrasound elastography [69, 70] and MR elastography [71]. However, in one MR elastography study, postprandial status did not significantly alter liver stiffness in healthy subjects [72].
Future Directions
Liver elastography is an active area of research. Indications beyond cross-sectional assessment of liver fibrosis are emerging. Liver elastography has been proposed for liver stiffness monitoring, prognostication of hepatic complications, assessment of cirrhosis, and detection of inflammation and portal hypertension.
Monitoring
Several studies have proposed elastography techniques for monitoring liver stiffness. However, many of these studies have not included paired biopsies for validation of elastographic changes. A study that evaluated paired liver biopsy and 1D transient elastography in the follow-up of patients for recurrent hepatitis C after transplantation showed that liver stiffness changes in parallel with recurrent hepatitis C [73]. However, when stiffness changes are observed, it is currently unclear whether stiffness changes are related to fibrosis changes, inflammatory changes, venous congestion, or other factors. The biologic meaning of longitudinal stiffness changes requires further study.
Prognostication
Elastography has prognostic value for overall survival and survival without liver-related death over a 5-year period in patients with chronic hepatitis C virus infection [74]. Elastography may also be used to predict the risk of hepatic complications, including features of decompensation (variceal hemorrhage, as-cites, hepatic encephalopathy, jaundice, hepatorenal syndrome, and spontaneous bacterial peritonitis), liver transplantation, and mortality in patients with chronic liver disease [75, 76]. A study suggested that liver stiffness predicts future decompensation better than fibrosis stage [74]. Some studies [76–78] but not all [79] suggested that stiffness predicts future development of hepatocellular carcinoma.
Assessment of Cirrhosis
The clinical and pathophysiologic spectrum of patients with cirrhosis (which ranges from asymptomatic with normal or near-normal liver function to debilitated terminally ill end-stage liver dysfunction) is greater than the clinical and pathophysiologic spectra of patients with all precirrhotic stages of fibrosis combined because these patients are usually asymptomatic and have normal liver function. Yet current histologic staging systems do not subclassify patients once they advance to cirrhosis, in part because biopsy is not performed in patients with known cirrhosis because of the greater risk associated with this procedure in patients with cirrhosis and in part because until now cirrhosis has been considered irreversible and no treatments were available. Elastography offers promise for monitoring patients with cirrhosis. This will be important as treatments for cirrhosis emerge.
Detection of Inflammation
Currently, both fibrosis and inflammation may contribute to stiffness [61]. An area of active investigation is to separate the contributions of fibrosis and inflammation [60]. If this investigation is successful, elastography could permit identification of patients with inflammation who have not yet progressed to fibrosis and could additionally be used for monitoring the effects of intervention on each component separately.
Portal Hypertension
Some studies have suggested that spleen stiffness may be a marker of portal hypertension [80, 81]. Additionally, spleen stiffness may help predict the presence of esophageal varices and the risk of bleeding [82]. More research in this area is needed before these indications can be considered because of the limited accuracy of spleen stiffness estimation for diagnosis of esophageal varices in patients with cirrhosis when compared with esophagogastroduodenoscopy as the reference standard [83].
Interpretation of Stiffness and Other Mechanical Properties
As experience and knowledge with elastographic imaging accrue, we anticipate that stiffness and other mechanical properties will develop an intrinsic meaning without requiring translation to histologic markers, such as fibrosis stage. For example, at some point, a stiffness value of 4.5 kPa on 2D MR elastography will connote advanced liver disease at risk for decompensation without requiring the intermediate translation to the corresponding expected fibrosis stage. Similarly, it is conceivable that patients may be classified on the basis of elastographic measurements rather than histology.
Other Emerging Applications
Other emerging indications for abdominal elastography include characterization of focal liver lesions [6, 7, 9] and evaluation of other solid organs [84–86].
Technical Innovations
Several innovations may further refine liver tissue characterization by elastographic techniques. This includes 3D measurement of tissue displacement, multifrequency elastography, standardization of terminology, and calibration of measurements obtained by different elastography techniques.
Three-Dimensional Implementations
Commercially available ultrasound elastography and MR elastography implementations sample wave propagation in only one or two dimensions. Future 3D implementations may permit assessment of a larger liver volume and measurement of tissue displacement fields using ultrasound [87, 88] or MRI [89]. This will enable analysis of more and thinner slices. In theory, this should help improve colocalization across time points, monitoring for longitudinal change, and more complete representation of wave propagation.
Multifrequency Elastography
To account for frequency-dependent mechanical properties of both healthy and pathologic liver, multifrequency shear waves may be used to characterize liver across a frequency range. An extension to the shear-wave elastography technique has been used to acquire shear-wave spectroscopy at a wide frequency range from 75 to 500 Hz to account for the dispersive behavior of liver parenchyma at higher frequencies [90]. Multifrequency MR elastography excitation has also been reported in a frequency range from 25 to 62.5 Hz [91]. In addition to liver stiffness (elasticity), a multifrequency acquisition scheme also permits calculation of viscosity [51], which conceivably may help in the separation of fibrosis from inflammation. However, preliminary results indicate that multifrequency MR elastography does not provide higher accuracy than optimum single-frequency MR elastography for staging hepatic fibrosis [92].
Terminology and Technique Standardization
The medical community has not standardized the relevant terminology, which has been adapted inconsistently from engineering and physics. Different clinical investigators have used terms inconsistently, including using the same term to refer to different parameters and different terms to refer to the same parameters.
The European Federation of Societies for Ultrasound in Medicine and Biology [93] has proposed terminology to reduce the number of commercial names for ultrasound-based techniques. In addition to generic terms to describe shear-wave techniques, there is a need to harmonize the terminology used to describe the mechanical properties and parameters in the field of elastography.
In 2008, the Radiological Society of North America created the Quantitative Imaging Biomarkers Alliance (QIBA) to advance quantitative imaging and the use of imaging-based biomarkers in clinical practice and clinical trials. The Ultrasound Modality Committee formed in 2012 performed an interlaboratory study of shear-wave speed estimation on phantoms [94]. The study revealed little difference between operators but significant differences in shear-wave speed estimates related to depth of measurements and between systems. An MR elastography QIBA working group was launched in January 2015. Ultimately the hope is that a kilopascal measured on one device will equal that measured on another device, assuming the same mechanical parameter (e.g., Young modulus) is being reported at the same frequency.
Conclusion
The main clinical application for elastography techniques in the abdomen is noninvasive detection and staging of liver fibrosis. Both ultrasound elastography and MR elastography techniques report very good to excellent diagnostic performance for diagnosis of advanced fibrosis. Radiologists who interpret elastography examinations should be aware of several technical and biologic confounding factors that may affect the feasibility or fibrosis classification accuracy of these techniques. We envision future standardization of elastography techniques so that quantitative parameters obtained by clinical systems from different vendors may provide similar results. This will ultimately improve reproducibility of elastography measurements, facilitate comparison of diagnostic thresholds, and improve patient care.
Acknowledgments
A. Tang receives funding for research activities on ultrasound elastography and MR elastography from the Canadian Institutes of Health Research - Institute of Nutrition, Metabolism, and Diabetes (CIHR-IMND #273738 and #301520); a New Researcher Startup Grant from the Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM); and a Junior 1 Career Award from the Fonds de recherche du Québec en Santé and Association des Radiologistes du Québec (FRQS-ARQ #26993).
G. Cloutier receives funding for research activities on shear wave ultrasound elastography from the Canadian Institutes of Health Research (MOP-84358 and CPG-95288), the Natural Sciences and Engineering Research Council of Canada (CHRP-365656–09), and the Fonds Québécois de la Recherche sur la Nature et les Technologies (FQRNT PR-174387).
C. B. Sirlin received funding from the National Institute of Diabetes and Digestive and Kidney Diseases (R56DK090350, R01DK088925).
Footnotes
Technologies developed by the team of G. Cloutier were licensed to Rheolution, Inc., and Acist Medical Systems.
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