Noninvasive Tests in the Assessment of NASH and NAFLD Fibrosis: Now and Into the Future

Abstract

Noninvasive serum and imaging methods offer accessible, accurate, and safe assessment of fibrosis severity in nonalcoholic fatty liver disease. In contrast, current serum and imaging methods for the prediction of nonalcoholic steatohepatitis are not sufficiently accurate for routine clinical use. Serum fibrosis markers that incorporate direct measures of fibrogenesis (for example, hyaluronic acid) or fibrinolysis are generally more accurate than biomarkers not incorporating direct measures of fibrogenesis. Elastography methods are more accurate than serum markers for fibrosis assessment and particularly for the determination of cirrhosis, but have a significant failure and/or unreliability rate in obese individuals. To overcome this, combining serum and elastography methods in a sequential manner minimizes indeterminate results and maintains accuracy. The accuracy of current noninvasive methods for monitoring fibrosis response to treatment are limited; however, new tools derived from “omic” methodologies offer promise for the future.

Keywords

nonalcoholic fatty liver disease - nonalcoholic steatohepatitis - elastography - serum biomarkers

Nonalcoholic fatty liver disease (NAFLD) has the potential to progress to cirrhosis with potential complications of liver failure and hepatocellular carcinoma. This risk is greatest among subjects with underlying liver fibrosis, with a graded dose-dependent relationship such that higher levels of fibrosis portend a greater future risk of morbidity. Nonalcoholic steatohepatitis (NASH) is defined histologically by the presence of steatosis, lobular inflammation, and hepatocyte ballooning, with or without fibrosis. It is considered the driver of fibrosis progression in NAFLD and has been a target for diagnosis and treatment. Thus, both the diagnosis of NASH and assessment of liver fibrosis are important goals of patient management as they influence prognosis, need for treatment, and can be used to monitor disease progression or response to treatment. Liver biopsy is the historical standard for assessing liver histology; however, it has inherent limitations which have led to the development of noninvasive serum and imaging diagnostic methods.

Serum Biomarkers of NASH

A recent systematic review and meta-analysis examined 219 different diagnostic blood biomarkers for NASH and concluded no test differentiated steatosis from NASH with greater than 80% sensitivity and specificity.[1] This highlights a significant gap in clinical care for NAFLD patients and may also reflect underlying limitations in using the comparison gold standard of liver biopsy from which biomarkers are referenced against.[2] For example, pathologist agreement for NASH is modest and a diagnosis of NASH may be missed in one-quarter of liver biopsies due to sampling error.[2] [3]

Markers of liver injury in NAFLD have been identified from either large-scale molecular screening or targeted analysis based upon known pathogenic pathways. The utility of a screening approach is exemplified by the NASH ClinLipMet score, which consists of a combination of metabolites and lipids identified by mass spectrometry, in association with serum insulin, aspartate aminotransaminase (AST), and PNPLA3 genotype.[4] The score predicts NASH with a high degree of accuracy (area under the receiver operator characteristic curve [AUROC] of 0.866); however, complexity and lack of validation have prevented widespread clinical application. Glycoproteomic screening has identified serum Mac-2 binding protein (Mac-2-bp) and its isoform, Wisteria floribunda agglutinin-positive Mac-2-bp (WFA ⁺M2BP) as accurate markers of liver injury in Asian and Western cohorts of NAFLD patients, although it remains unclear whether they are optimal for determining NASH or liver fibrosis.[5] [6] Lipidomic screening has identified alterations in glycerophospholipids, sphingolipids, sterols, and oxidized fatty acids; however, large-scale validation has not been performed and again the complexity of these markers limits easy translation to use at the bedside.[7] [8]

Hepatocyte apoptosis is upregulated in NASH and results in the release of cytokeratin-18 (CK-18) fragments which are cleaved intrahepatic intermediate filament proteins. The accuracy of CK-18 levels for predicting NASH has been variable.[9] [10] CK-18 levels improve with weight loss following bariatric surgery and NASH resolution in clinical trials; however, it is not sufficiently accurate to guide individual patient management.[11] [12] [13] Serum levels of pathogenic mediators of liver injury including adipocytokines and inflammatory mediators (e.g., C-reactive protein, tumor necrosis factor, interleukin [IL]-6, C-X-C motif ligand 10, IL-1 receptor antagonist [IL-1RA]) have generally had limited accuracy in isolation for the detection of NASH.[14] [15] Subsequently, novel biomarkers have been combined in an effort to increase diagnostic accuracy. The NASH-test2 combines age, sex, α₂-macroglobulin, apo A1, haptoglobin, total bilirubin, gamma-glutamyl transferase (GGT), AST, cholesterol, and triglycerides, which provides reasonable estimation of NASH (AUROC 0.80), although it performs less favorably in patients with type 2 diabetes.[16] [17] Other investigators have combined CK-18 and fibroblast growth factor-21 levels with additional markers including adipocyte fatty acid binding protein and IL-1RA, with improved predictive value compared with individual analytes.[18] [19] Further independent validation is required before routine clinical use.

Several studies have examined the utility of serum markers to predict NASH resolution following lifestyle or pharmacological intervention. Serum CK-18 levels and alanine aminotransaminase (ALT) levels parallel improvement in steatosis, lobular inflammation, and ballooning; however, their accuracy is modest for NASH resolution (AUC < 0.80).[13] Similarly, serum levels of WFA ⁺ M2BP correlate with change in liver inflammation, ballooning, and fibrosis over 48 weeks; however, its low accuracy for NASH resolution (AUC < 0.60) precludes clinical use.[20] A model including weight loss, type 2 diabetes, ALT normalization, age, and a nonalcoholic fatty liver activity score (NAS) ≥ 5 was highly accurate (AUC 0.94–0.96) in predicting NASH resolution in 261 patients over 12 months.[21] However, the need for a baseline liver biopsy for evaluation of NAS score limits applicability and external validation is also required.

Imaging Assessment of NASH

NASHMRI, which is derived from several magnetic resonance imaging (MRI) parameters independently associated with NASH, has been shown to be promising for the diagnosis of NASH with an AUROC of 0.83.[22] However, this requires further validation. At present, no imaging modality has been adequately validated to diagnose NASH with the level of certainty required for clinical use. However, improvement in hepatic steatosis ≥ 30% based on MRI-proton density fat fraction following intervention has been shown to be predictive of NASH resolution and has been used a surrogate marker of NASH resolution in clinical trials.[23] Moreover, several noninvasive methods have been proposed for the diagnosis of hepatic inflammation and fibrosis (e.g., the liver inflammation and fibrosis, LIF, score) or fibrotic NASH (e.g., FibroScan-based FAST score, MACK-3) (see section “Emerging Methods”).

Serum Biomarkers of Fibrosis

“Simple” serum biomarker panels (e.g., FIB-4, AST-Platelet Ratio Index [APRI], NAFLD Fibrosis Score) include variables such as routine liver function tests, platelet count, and clinical parameters including age and body mass index (BMI). These tests are relatively easy to perform and subsequently have been widely validated; however, have indeterminate results in approximately 30% of cases.[24] [25] A meta-analysis of up to 39 studies involving over 9,000 subjects determined summary AUROC values for APRI, FIB-4, and NAFLD Fibrosis Score to be 0.77, 0.84, and 0.84, respectively, for the diagnosis of advanced fibrosis.[26] The negative predictive values (NPVs) of these scores for excluding advanced fibrosis is high (89–93%); however, the positive predictive values (PPVs) are modest (55–67%) potentially leading to false positive results.[23]

More complicated biomarkers, which incorporate direct markers of fibrogenesis and fibrinolysis such as serum tissue metalloproteinases or hyaluronic acid (e.g., Enhanced Liver Fibrosis [ELF] score, Hepascore, FIBROspect II, FibrometerV2), are more costly but are generally more accurate than “simple” biomarkers.[27] [28] [29] [30] [31] [32] Recent algorithms developed and validated in large multiethnic cohorts include HepaMet, composed of age, sex, homeostatic model assessment score, diabetes, AST, albumin, and platelet counts, and ADAPT, composed of Pro-C3, age, diabetes, and platelets.[33] [34] These scores have demonstrated superior accuracy to FIB-4 and NAFLD Fibrosis Score. There is a lack of studies directly comparing propriety algorithms, preventing recommendation of one over the other. Moreover, the use of serum fibrosis scores incorporating direct markers as the first test in sequential testing (see below) is less well studied compared with serum fibrosis scores using indirect markers.

The advantages of serum biomarkers include their accessibility, patient acceptability, reliability, and cost ([Table 1]). Awareness of potential confounding factors is important when interpreting results; significant hepatic and systemic inflammation may increase serum biomarker levels independently of fibrosis,[35] and biomarkers incorporating bilirubin (Hepascore, Fibrotest) may be falsely increased in patients with Gilbert's syndrome or hemolysis. FIB-4 and NAFLD Fibrosis Score become less specific with increasing age, with higher cut-offs proposed to exclude advanced fibrosis in those older than 65 years.[36] The performance of serum biomarkers is also less accurate in patients with diabetes, who represent an “at-risk” population for fibrosis.[32]

Table 1 Comparative characteristics of different noninvasive methods of fibrosis assessment

	Serum biomarkers	Sonographic elastography	Magnetic resonance elastography
Patient acceptability	High	High	Moderate
Reproducibility	Excellent	Good	Excellent
Availability	Wide	Limited	Limited
Cost	+	++	+++
Accuracy	+++	++ + +	++ + +
Failure/Unreliable rate	< 1%	20%	1–2%
Confounders	Systemic inflammation, Gilbert's, hemolysis, acute hepatitis, cholestasis	Acute hepatitis, cholestasis, congestion, focal liver lesions, portal vein thrombosis, BMI	Hepatic iron[a]

Abbreviation: BMI, body mass index.

^a May be overcome with spin-echo echo-planar sequences.

Imaging Assessment of Fibrosis

Vibration-controlled transient elastography (VCTE) using FibroScan (Echosens) has been shown to be excellent for the diagnosis of advanced fibrosis and cirrhosis.[37] It is based on the principle that liver stiffness increases as fibrosis increases, and that vibration travels faster in stiffer tissue. The speed of a vibration generated by the mechanical actuator is measured by an ultrasound device mounted on the same axis on the examination probe and is translated into stiffness measurement. An examination is considered successful if there were ≥ 10 valid measurements, and reliable if the interquartile range to median ratio were ≤ 0.30.[38] The patient should be fasting for ≥ 2 hours prior to the examination as liver stiffness measurement (LSM) increases in the immediate postprandial period.[39] Additional factors which may falsely increase LSM values are outlined in [Table 1]. A LSM of < 5 kPa indicates that significant fibrosis is unlikely, < 10 kPa indicates that advanced fibrosis is unlikely, > 15 kPa indicates that advanced fibrosis is likely, and > 20 to 25 kPa indicates that clinically significant portal hypertension is likely.[40] The strength of FibroScan is the exclusion of advanced fibrosis with high (< 95%) NPVs for values < 8 kPa, though modest PPVs (68%) with values > 9.6 kPa.[26] The XL probe was introduced to reduce failed and unreliable examinations in obese patients and has similar accuracy as the standard M probe.[41] Although the XL probe results in lower LSM compared with the M probe in the same patient, similar cut-off values can be used for interpretation if the probe selection was based on the device recommendation or the BMI of the patient.[40] Overall, successful and valid scans are achievable in > 90% of patients; however, failed or invalid scans may be seen in up to 30% of obese individuals.[41] [42] In short, VCTE provides a simple, noninvasive method for estimating hepatic fibrosis with immediate results for patient counseling in the clinic. FibroTouch (Hisky) is another transient elastography device for LSM. It has the advantage of using a single probe for patients with different body habitus. It is not as extensively studied as FibroScan but has been shown to have similar accuracy.[43]

Elastography techniques have been incorporated into ultrasound devices. A detailed description of these techniques can be found elsewhere.[44] Briefly, acoustic radiation force impulse (ARFI) uses a short duration, high-intensity acoustic pulse to displace tissue perpendicular to the surface and the displacement is measured at a specified region of interest and displayed as a grayscale map of relative stiffness. An example is Virtual Touch Imaging (Siemens, Malvern, PA). In point shear wave elastography, ARFI is similarly used to displace tissue; however, the speed of secondary waves perpendicular to the plane of excitation is measured rather than tissue displacement. Examples are Virtual Touch Quantification (Siemens) and Elast-PQ (Philips). In two-dimensional (2D) shear wave elastography, instead of a single point, multiple points are examined in rapid succession, allowing real-time visualization of a color quantitative elastogram superimposed on a B-mode image. Examples are Virtual Touch Image Quantification (Siemens), Supersonic Shear Imaging (SuperSonic Image), and Shear Wave Elastography (Philips). In a meta-analysis including 8 studies and 518 patients with chronic liver disease of various etiologies, Virtual Touch Quantification had an AUROC of 0.87, 0.91, and 0.93 for the diagnosis of fibrosis stages ≥ F2, ≥ F3, and F4, respectively. In a subset of 312 patients in 4 studies that had concomitant FibroScan examinations, FibroScan was more accurate than Virtual Touch Quantification for the diagnosis of fibrosis stages ≥ F2 and F4.[45] In a study on 291 NAFLD patients who underwent liver biopsy, Supersonic Shear Imaging has been shown to be as accurate as FibroScan for the diagnosis of fibrosis stages ≥ F2, ≥ F3, and F4 with similar rate of failed and unreliable examinations. Virtual Touch Quantification was found to be as accurate as Supersonic Shear Imaging and FibroScan for the diagnosis of fibrosis stages ≥ F3 and F4, but less accurate than Supersonic Shear Imaging for the diagnosis of fibrosis stage ≥ F2. While Virtual Touch Quantification had significantly lower failed examination, it resulted in significantly greater unreliable results.[42] Another study on 112 NAFLD patients yielded similar findings.[46] Separately, a study on 100 NAFLD patients who underwent liver biopsy found FibroScan to be more accurate than Elast-PQ for the diagnosis of fibrosis stages ≥ F2 and ≥ F3.[47] Compared with transient elastography, ultrasound elastography techniques has the advantage of anatomical visualization, however, the operator must undergo additional training to have the technical and anatomical expertise to perform the examination.

Magnetic resonance elastography (MRE) uses a special pulse sequence to image the micron-level cyclic displacements caused by propagating waves generated by a hardware. The acquired data are processed by a dedicated software that produces a color elastogram of the examined liver and a stiffness measurement of the selected region of interest.[48] In a pooled analysis of individual patient data of 232 NAFLD patients from 9 studies, MRE at 60 to 62.5 Hz had an AUROC of 0.86, 0.87, 0.90, and 0.91 for the diagnosis of fibrosis stages ≥ F1, ≥ F2, ≥ F3, and F4, respectively. The more advanced three-dimensional (3D) MRE at 40 Hz (AUROC of 0.98) has been shown to be more accurate than the conventional 3D MRE at 60 Hz and 2D MRE at 60 Hz (AUROC of 0.93 and 0.92, respectively) for the diagnosis of fibrosis stage ≥ F3.[49] A study on 127 NAFLD patients who underwent liver biopsy found that MRE was more accurate than FibroScan for the diagnosis of fibrosis stages ≥ F2 (AUROC 0.91 vs. 0.82) and F4 (AUROC 0.97 vs. 0.92), but not fibrosis stages ≥ F1 (AUROC 0.83 vs. 0.78) and ≥ F3 (AUROC 0.89 vs. 0.88).[50]

Combination Testing

A current limitation of the noninvasive tests is the presence of an indeterminate range and relatively poor PPVs for the determination of advanced fibrosis or cirrhosis typically between 40 and 60% for cirrhosis.[26] Combining serum-based tests with elastography is attractive given they use different and complimentary patient characteristics to predict fibrosis. Tests may be combined in a synchronous fashion (outlined in [Fig. 1]), where concordant positive or negative tests provide a high PPV or NPV for advanced fibrosis, but at the expense of indeterminant or conflicting results in approximately half of patients.[51] Sequential testing typically utilizes a serum test initially, with elastography used in indeterminate or positive serum biomarker results ([Fig. 1]). A study of 759 biopsy-proven NAFLD patients found that the use of noninvasive fibrosis scores (i.e., NAFLD Fibrosis Score or FIB-4 score) followed by FibroScan only for patients with indeterminate or high scores was most accurate for the diagnosis of advanced fibrosis when the prevalence of advanced fibrosis is low, such as in the general population.[52] On the other hand, the use of LSM ≥ 10 kPa had the highest diagnostic accuracy in population with higher prevalence of advanced fibrosis. In a separate study on 968 patients with biopsy-proven NAFLD, sequential testing using NAFLD Fibrosis Score or FIB-4 score followed by FibroScan for patients with indeterminate score was similarly found to be better than of the tests individually, regardless of obesity and ALT levels, although the accuracy of sequential testing was lower in obese patients.[53] Notably, the accuracy of FibroScan was lower among obese patients irrespective of whether a M or XL probe was used. In another study on patients with chronic liver disease of various etiologies including NAFLD, a stepwise algorithm, starting with the easy liver fibrosis test or eLIFT (which is a composite score of readily available parameters, i.e., age, gender, AST, GGT, platelet, and prothrombin time), followed by FibroMeter^VCTE (which combines in a single formula the blood markers for FibroMeter and FibroScan result) for patients with increased eLIFT score, had a diagnostic accuracy for advanced fibrosis of 83.3% with sensitivity and specificity of 76.1 and 92.2%, respectively.[54]

Fig. 1 Predictive and indeterminate values of concurrent and sequential testing strategies using noninvasive fibrosis tests in nonalcoholic fatty liver disease. Figures are based upon use of FIB-4 or NAFLD Fibrosis Score as serum tests and FibroScan as elastography technique.[51]

Monitoring Fibrosis over Time

Experience in evaluating noninvasive tests over time in response to treatment or for evaluating disease progression is sparse. Improvement of liver inflammation with treatment of NASH may in turn lead to reduction in liver elasticity and blood biomarkers and an underestimation of fibrosis stage. Serum biomarkers including ELF, WFA ⁺ M2BP, NFS, FIB4, and APRI have poor to modest accuracy (AUC < 0.75) in predicting fibrosis response to pharmacotherapy[20] [55] [56] or lifestyle intervention[57] and cannot be recommended to monitor for short-term (≤ 12 months) treatment response. Both MRE and VCTE had a low degree of accuracy (AUC < 0.65) for predicting fibrosis improvement over 24 weeks in a negative therapeutic trial.[56] The AUC of MRE increased to 0.79 when combined with baseline values, suggesting that it may be useful for monitoring fibrosis response. An algorithm combining platelet count, ALT normalization, and change in hemoglobin A1c had high accuracy (AUC 0.96) for predicting fibrosis improvement following 1 year of lifestyle intervention in NASH patients; however, this requires further validation.[57] In the absence of intervention, FIB-4, APRI, and NAFLD Fibrosis Score are reasonably accurate (AUC 0.80–0.82) in predicting progression to advanced fibrosis, although they do not improve with fibrosis regression.[58] Consequently, they can be used to confirm absence of progression (NPVs 89–90%) rather than detecting progression to advanced fibrosis (PPVs 44–49%).

Prediction of Outcomes

Serum biomarkers, FibroScan and multiparametric MRI, have been demonstrated to be predictive of outcomes in patients with chronic liver disease. The NAFLD Fibrosis Score, FibroMeter, Hepascore, and FibroScan have been shown to be able to stratify NAFLD patients according to liver-related complications and overall mortality.[59] [60] These tests are able to discriminate patients with more severe fibrosis from those with less severe fibrosis, which is the most important determinant for liver-related outcomes and overall survival in NAFLD patients. A separate study found high-risk cases (i.e., those with advanced fibrosis) based on paired FibroScan values, to be predictive of not only liver-related complications, but also cardiovascular events.[61] Recently, the stepwise algorithm using eLIFT and FibroMeter^VCTE (see above) has also been shown to be able to stratify patients with chronic liver disease of various etiologies according to liver-related complications and overall mortality.[54] Similarly, a study of 112 patients with chronic liver disease of various etiologies, found a multiparametric MRI (see below) defined LIF score of ≥ 3, to be significantly associated with the development of liver-related complications or mortality.[62]

Emerging Methods

Fibrotic NASH, defined as NASH with NAFLD activity score ≥ 4 and fibrosis stage ≥ 2, is increasingly used as target for enrolment in clinical trial. In line with this, recent noninvasive methods have focused on this diagnostic goal. The FibroScan-based FAST score uses controlled attenuation parameter, LSM, and serum AST level for the diagnosis of fibrotic NASH.[63] The score was developed from a prospective, multicenter study of patients undergoing liver biopsy for suspicion of NAFLD in the U.K. and was validated in seven international cohorts. The AUROC for the diagnosis of fibrotic NASH in the derivation cohort and pooled validation cohort was 0.80 and 0.85, respectively. In the pooled validation cohort, the PPV and NPV were 0.69 and 0.94, respectively, with 30% of patients in the gray zone. The FAST score can help identify patients who are unlikely to have fibrotic NASH and reduce the screen failure rate for clinical trial.

MACK-3 is a score that uses the homeostatic model assessment of insulin resistance, AST, and CK-18 for the diagnosis of fibrotic NASH. The accuracy and performance characteristics are similar to the FAST score with the AUROC for the diagnosis of fibrotic NASH to be 0.85 in both derivation and validation cohorts. In a validation cohort, the PPV and NPV were 0.82 and 0.97, respectively, with 36% of patients in the gray zone.[64] In an external cohort, the MACK-3 had an AUROC of 0.80 for the diagnosis of fibrotic NASH with sensitivity, specificity, PPV, and NPV of 1.00, 0.44, 0.43, and 1.00, respectively. However, 47% patients were in the gray zone.[65] The MACK-3 has the advantage of being a blood-based test with high applicability, but requires fasting serum insulin, which is not routinely tested in clinical practice, and CK-18 which is not widely available.

In a proof-of-concept study on 77 patients with chronic liver disease of various etiology and 7 healthy controls, multiparametric MRI was reported to have an AUROC of 0.94 to distinguish patients with any fibrosis from healthy controls and patients without fibrosis.[66] Multiparametric MRI uses multigradient-echo acquisition to calculate the T2* map, which accurately detects elevated iron concentration. On the other hand, T1 relaxation time map detects elevated extracellular water, which may be increased in the presence of inflammation and fibrosis. However, T1 relaxation time map is also increased with elevated iron concentration, which can be corrected using data from the T2* map. Compared with MRE, this MRI technique has the advantage of not requiring an additional hardware to generate propagating waves and is not affected by adiposity and the presence of ascites. However, it cannot be used in the presence of severely elevated iron concentration. Using optimal cut-offs for corrected T1 or cT1 for the differentiation of the different fibrosis stages, the LIF score, which is a standardized continuous score of 0 to 4, was derived. In a study on 71 patients with suspected NAFLD who underwent liver biopsy, the LIF score had an AUROC of 0.80 to differentiate NASH from simple steatosis and to distinguish significant (defined as activity ≥ 2 and fibrosis ≥ 2) from mild NAFLD. The optimal cut-off for diagnosis of NASH or significant NAFLD was same at 1.4. Of note, there was significant overlap in the LIF score between F0 and F1, and between F2 and F3 (based on steatosis, activity, and fibrosis score). The AUROC for diagnosis of cirrhosis was 0.85 and the optimal cut-off was 3.0.[62] In a separate study on adults who underwent liver biopsy, cT1 had an AUROC of 0.72 for the diagnosis of fibrosis stage (based on modified Ishak score) ≥ F1, ≥ F3, or ≥ F5, which was inferior to transient elastography, which had an AUROC of 0.93, 0.84, and 0.86, respectively.[67] Further independent validation in large cohorts of NAFLD patients with a full spectrum of histological disease are required before the accuracy and utility of multiparametric MRI can be determined.

Conclusion

NAFLD is highly prevalent and has an attendant risk of liver-related morbidity and mortality, which is predicted by the degree of underlying liver fibrosis. The combination of serum and sonographic elastography techniques are able to accurately detect the presence or absence of advanced fibrosis with few patients requiring liver biopsy for indeterminate results. However, noninvasive tests are currently insufficiently accurate to monitor treatment response, although MRE holds promise that it may fill the gap. Strategies to date have concentrated on detecting patients with advanced fibrosis; however, earlier disease that is expected to progress (e.g., fibrotic NASH) may become the diagnostic target in the future as safe, effective, and affordable treatments become available.

Main Concepts and Learning Points

• Serum and imaging methods are not currently recommended for diagnosing NASH due to limited accuracy; however, combination methods offer promise for distinguishing fibrotic NASH.

• Serum biomarker panels and elastography reliably exclude advanced fibrosis, however, have modest predictive value. MRE is currently considered the most accurate elastography technique, however, is limited by expense and availability.

• Concordant concurrent serum marker and transient elastography results provide a high degree of certainty for the presence or absence of advanced fibrosis; however, conflicting and thus indeterminate results occur in up to 50% of patients.

• Serial normal serum biomarker results over time confirm absence of progression to advanced fibrosis; however, longitudinal monitoring is not useful to predict fibrosis progression or response to treatment. MRE offers promise as a tool for monitoring fibrosis change over time, however, requires further validation.

Conflict of Interest

Dr. Adams reports personal fees from Pfizer, outside the submitted work. In addition, Dr. Adams has a patent Hepascore issued to Quest diagnostics. Dr. Chan reports grants from Resonance Health and personal fees from Boehringer Ingelheim, outside the submitted work.

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Publikationsverlauf

Artikel online veröffentlicht:
11. Juni 2020