Published online Dec 7, 2014. doi: 10.3748/wjg.v20.i45.16811
Revised: July 10, 2014
Accepted: October 15, 2014
Published online: December 7, 2014
Processing time: 204 Days and 20.8 Hours
Liver stiffness measurement (LSM) is a good, but still limited tool to noninvasively assess complications and prognosis in patients with advanced liver disease. This review aims to consider the role of LSM for the diagnosis of portal hypertension-related complications and for assessment of prognosis in cirrhotic patients, and to highlight the drawbacks as well as some alternatives for improving the performance. Hence, this field is far from being closed, and deserves more attention. There is still a place for more carefully designed studies to find new, innovative and reliable approaches.
Core tip: This review aims to consider the role of liver stiffness measurement for the diagnosis of portal hypertension-related complications and for assessment of prognosis in cirrhotic patients, and to highlight the drawbacks as well as some alternatives for improving the performance.
- Citation: Stefanescu H, Procopet B. Noninvasive assessment of portal hypertension in cirrhosis: Liver stiffness and beyond. World J Gastroenterol 2014; 20(45): 16811-16819
- URL: https://www.wjgnet.com/1007-9327/full/v20/i45/16811.htm
- DOI: https://dx.doi.org/10.3748/wjg.v20.i45.16811
Development of clinically significant portal hypertension (CSPH) is a major step in the natural history of patients with chronic liver disease (CLD) and is associated with clinical decompensation and development of portal hypertension (PH)-related complications.
PH is diagnosed when the hepatic vein portal gradient (HVPG) has a value > 5 mmHg. HVPG is measured by calculating the difference between wedged and free pressures in the hepatic vein using a pressure catheter inserted via the transjugular route under fluoroscopic guidance. CSPH is established when HVPG is > 10 mmHg; at this value the risk of developing ascites or esophageal varices (EV) being much higher, while if HVPG is > 12 mmHg, the risk of variceal bleeding increases[1].
It is considered that HVPG is a better indicator of liver function than transaminase level, viral kinetics or even liver biopsy[2], mainly because the majority of patients with hepatitis B virus (HBV) or hepatitis C virus (HCV) chronic hepatitis with significant fibrosis (≥ F2 METAVIR) have a HVPG value > 5 mmHg[3], and achieving sustained virological response in HCV cirrhotics is correlated with a significant reduction of HVPG[3].
HVPG > 10 mmHg became a true milestone in the clinical history of cirrhotic patients. It was validated as an important independent predictor not only for EV development[4,5], but also for the first episode of clinical decompensation[6] or the risk of developing hepatocellular carcinoma (HCC)[7]. In patients who have already experienced an episode of decompensation, HVPG > 16 mmHg predicts mortality, independently from the MELD score[8], and an HVPG increase of 1 mmHg also increases by 3% the risk of death while on the waiting list for liver transplant[9].
HVPG > 12 mmHg is another important milestone, being the threshold for decompensation (development of ascites and variceal bleeding)[5]. If HVPG decreases below 12 mmHg (because of therapy or spontaneously) the risk of bleeding is significantly diminished and EV regress in size[10]. If HVPG is measured during an episode of variceal bleeding, a value > 20 mmHg predicts failure to control bleeding, the odds ratio being 5 times higher than for HVPG < 20 mmHg[11].
Based on these findings, HVPG is recommended to all patients with cirrhosis at the time of diagnosis for risk and prognosis assessment[12,13]. Furthermore, HVPG appears to be the ideal instrument to assess the response to therapy in cirrhotic patients with CSPH, the target being an HVPG value < 12 mmHg, or a decrease of at least 20% as compared with baseline[11,13]. Not achieving these targets is the best independent predictor of re(bleeding)[14] with a 2 to 4-fold higher relative risk for nonselective beta-blocker non-responders[15]. But, despite its excellent diagnostic and prognostic value, HVPG is an invasive procedure available only in specialized centres, and therefore it has a low availability and high management costs[16].
On the other hand, screening for EV requires esogastroduodenoscopy (EGD) at the diagnosis of cirrhosis, and every one to three years depending on whether EV were or were not found at the beginning[13]. From the economic point of view, this is not a very good approach, since only 7% of the patients will develop varices each year[17] and only 21% at the 5-years interval[18]. This is why the Baveno V panel, in order to better stratify patients submitted to endoscopy, recommended identification and validation of alternative noninvasive surrogate markers for PH[13].
Liver stiffness (LS) measurement (LSM) is an elastometric technique that uses the principle of vibration-controlled transient elastography to assess tissue elasticity[19]. In CLD patients it was proved to be a very useful tool to assess significant fibrosis and to rule out cirrhosis[20,21]. Moreover, in patients with liver cirrhosis (LC), LS was able to distinguish between compensated and decompensated patients[22], and to predict prognosis in patients with CLD[23].
This review aims to examine the role of LSM for the diagnosis of PH-related complications and for assessment of prognosis in cirrhotic patients, and to highlight the drawbacks as well as to discuss the alternatives available to enhance LS performance in this field.
LS has an excellent accuracy for diagnosis of cirrhosis: AUROC of 0.9-0.99 for cut-off values ranging from 9 to 26.6 kPa, the best appearing to be 13.01 kPa, as a recent meta-analysis reports[21]. In cirrhotic patients, in order to understand what is happening in more advanced stages of the disease, once PH has occurred, it became of great interest to exploit the entire range of stiffness values - up to 75 kPa - that the device (FibroScan®) is able to measure. In this respect, the cut-off values for different complications were previously shown with negative predictive values above 90% as follows: 27.5 kPa for large EV (LEV); 37.5 kPa for Child B or C cirrhosis; 49.1 kPa for development of ascites; 53.7 kPa for development of hepatocellular carcinoma; or 62.7 kPa for variceal bleeding[23].
A strong positive correlation was found between LS and HVPG in patients with HCV-related liver disease and advanced (F3-F4) fibrosis (r2 = 0.61, P < 0.0001)[24]. The same correlation was independently demonstrated in patients with HCV recurrence after liver transplantation (r2 = 0.83, P < 0.001)[25]. As expected, LS values increase gradually alongside the increment in HVPG as the LC progresses[26]. Overall, LS has a 90% sensitivity and 80% specificity for the diagnosis of CSPH[27].
As far as the presence of EV is concerned, LS showed lower AUROC values, between 0.76 and 0.84[25,28,29]. For cut-off values of 13.9, 17.6 and 21.1 kPa respectively, LS showed a good sensitivity (0.95, 0.9 and 0.79), but a lower specificity (0.43, 0.43 and 0.7)[25,29,30]. Other studies showed a correlation between LS values and size of the varices[29,30], while some researchers failed to demonstrate any[25]. For cut-off values of 19 and 30.5 kPa, respectively, LS showed a high sensitivity, but a low specificity and positive predictive value for prediction of LEV[29,30]. In fact, for detection of varices or especially of LEV, LS did not perform better than platelet count[31] or FibroTest[32]. However, a possible role of LS for the prediction of variceal bleeding cannot be excluded[31,33]. As a recent meta-analysis[28] and a critical review[34] show, the studies investigating the issue of LS in advanced liver disease are contradictory, mainly because of population heterogeneity, different prevalence of CSPH and/or (L)EV and cross-sectional design, which lead to lower diagnostic accuracy and a wider range of cut-off values. It can be stated that LSM is not good enough to replace EGD for (large) EV detection in cirrhotic patients, because reported specificity and positive predictive values are too low for routine clinical practice.
LS is, undoubtedly, more than a tool for measuring liver fibrosis. It has become an important instrument to assess the clinical course of CLD patients. Not only can LS assess the actual complications, but it permits long term risk classification and stratification[35]. The first data in this respect came from a retrospective study which demonstrated a 5 times higher risk to develop hepatocellular carcinoma in HCV patients with a baseline LSM > 25 kPa as compared with those with values below 10.5 kPa[36]. Seven out of eight other studies investigating this association found an increased hazard ratio (varying from 1.03 to 1.36) to develop HCC in patients with increased LS at diagnosis, irrespective of liver disease etiology[37].
LS was also associated with clinical decompensation in several prospective studies. LS value < 21.1 kPa was found to be as accurate as HVPG < 10 mmHg for selecting patients who would not develop liver- or PH-related events in a follow-up period of 24 mo (negative predictive value of 86.3% and 100% for LSM, as compared with 85.7% and 100% for HVPG)[38]. In another retrospective study, LS predicted overall 5-year survival (96% vs 47% in patients with baseline LS < 9.5 kPa or > 40 kPa)[24]. In prospective settings these findings are maintained, showing that a 3 year increment in LS value with more than 1 kPa is associated with poorer clinical outcome and increased mortality in the additional 2-year follow up period[39]. Subgroup analysis of the above mentioned study shows that any increase in LS value in those patients with baseline LSM > 14 kPa has a worse prognosis in terms of both development of complications or survival. These findings are fully supported by a recent meta-analysis[38] that confirms the prognostic value of LS measurement for development of clinical decompensation, HCC and mortality, with a risk ratio of 1.07, 1.11 and 1.22, respectively. Overall, baseline LSM has a 1.32 risk ratio to predict liver-related events.
In-depth analysis of the correlation between LS and HVPG shows the loss of linearity for HVPG values > 12 mmHg. In the study of Vizzutti et al[24], although the overall correlation coefficient is good (r = 0.61) when it is analysed for HVPG values > 12, it drops up to 0.17 (P = 0.02), while for HVPG < 12 it is 0.67 (P < 0.0001). These findings are even more evident in the study of Reiberger et al[26] that finds for patients with HVPG < 12 mmHg a correlation coefficient of 0.951, while in patients with values > 12 mmHg it decreases up to 0.538 (P = 0.0004) and the almost perfect linear correlation is completely lost. Both groups explain this situation by the fact that in advanced stages of cirrhosis, the degree of PH becomes largely independent from the increased hepatic resistance (which is assessed by LS), while extrahepatic components (e.g., hyperdynamic circulation, peripheral vasodilatation, etc.) become more important. In favour of this hypothesis is the evidence brought by Reiberger et al[26], which shows that in patients with CSPH undergoing non-selective beta-blocker (NSBB) therapy for primary prophylaxis of variceal bleeding, the LS and HVPG are better correlated (r = 0.746, P = 0.0001). However, the latter study failed to demonstrate the possibility to assess the response to NSBB therapy, so that LS cannot entirely replace the pivotal role of HVPG in management of cirrhotic patients. There is, however, new evidence that demonstrates the ability of LS to respond to changes in portal pressure, such as elevation after meal ingestion[40].
Also, there are confusing data coming from special populations regarding monitoring disease progression using LSM. In primary biliary cirrhosis, it was proved that baseline and serial LS measurements are better prognosis predictors than other evaluation methods[41], while in the Asian population baseline LSM appears to be more reliable than serial measurements in assessing progression of PH[42].
Serum fibrosis markers or composite scores have also been used to predict complications of liver cirrhosis or PH. From very simple tests such as platelet count or prothrombin index[43] to more specific ones such as hyaluronic acid[44] or type IV collagen[45], all have correlated with the presence of EV to various degrees, but their accuracy (AUROC) did not exceed 0.7. In order to increase the diagnostic accuracy of EVs, combinations of markers were envisaged, tested and some of them validated, such as aspartate transaminase (AST)-alanine transaminase ratio[46], AST to platelet ratio index (APRI)[47], or platelet count to spleen diameter ratio[46,48]. Complex scores (of which some were patented) were also tried as noninvasive predictors of EV in LC patients. Of them, the combination of Lok score and Forns index was more cost-effective than endoscopy for detecting patients with varices and had a diagnostic accuracy that varied between 73.3% and 79.8%, depending on the etiology of liver disease[49]. For the diagnosis of cirrhosis, the Sequential Algorithms for Fibrosis Evaluation (“SAFE”) biopsy was proposed by Sebastiani et al[50], an algorithm that combined the APRI and FibroTest, which correctly classified almost 75% of the patients as cirrhotics/noncirrhotics. After its extensive validation in predicting fibrosis stages, FibroTest® was tried as a surrogate marker for both HVPG and EV in patients with LC. Although the team that developed the score found a very high NPV (100%) for a cut-off of 0.75[32], FibroTest could not be internally validated, showing a diagnostic value for EV similar to that of platelet count or of the Child-Pugh score[51].
However, it should not be forgotten that all these instruments (both FibroScan and serum fibrosis markers) were designed for detection of significant (or severe) fibrosis in patients with CLD and that their diagnostic value was mainly proved in HCV patients. In the settings of liver fibrosis, it was proved that the combined approach (elastometry and serum tests) performs better[52]. But, as previously shown, both Fibroscan and serum tests showed a certain ability to predict the presence of CSPH or EV. This observation simply leads to the idea of combining the two methods, in order to meet the principle announced by Pinzani et al[53]: for an accurate diagnosis it is required for two distinct noninvasive tests to tie. This approach was previously used to combine ultrasound and common biological findings and demonstrated that patients with a serum prothrombin activity > 70%, a portal vein diameter > 13 mm, and a platelet count < 100000 are at risk to have EV[54].
As for the combinations between LS and serum biomarkers, two different approaches were used; these will be briefly discussed below.
The Bordeaux group proposed a stepwise algorithm to detect cirrhosis, and this relies on the concordance between FibroTest and FibroScan. Using this approach, LC could be diagnosed with an accuracy of 93% and liver biopsy could be avoided in almost 80% of cases[55]. This approach has not yet been used to assess PH-related complications, maybe because FibroTest is a costly test. Based on our own data and those of others[29], we proposed a stepwise approach that relies on the concordance between LS and Lok score (< 19 kPa and < 0.6, or > 38 kPa and > 0.8). This algorithm correctly classified 53% of patients with LEV and 64% of patients without EV[56].
Other authors combined clinical data, serum markers and LS in an empirical way, or using regression equations.
LSM-spleen diameter to platelet ratio score (LSPS) is calculated as the product of liver stiffness and the ratio between spleen diameter and platelet count (LSPS = LSM × spleen diameter/platelet count)[57]. As LSPS values are increasing, the risk of having/developing high-risk varices in HBV-related cirrhosis also increases. Using two threshold values (< 3.5 and > 5.5, respectively), 90.3% of patients could have been correctly classified with regard to having high-risk varices. In these patients, during a median follow up of 29 mo, LSPS was found to be an independent predictor of EV bleeding, for a cut-off value > 6.5[58].
Esophageal varices risk score (EVRS) combines the same variables (LSM, spleen size and platelet count) into a regression equation according to the following formula: -4.364 - 0.538 × spleen diameter - 0.049 × platelet count - 0.044 × LS + (0.001 × LS × platelet count)[59]. In a population of 172 cirrhotics (in whom the prevalence of EV was 31.6% and of LEV 11.9%), EVRS at a value ≥ 0.20 predicted the presence of EV with good accuracy, both in the training set (AUROC: 0.9, Se: 70.3%, Sp: 76.5%) and the validation one (75% correctly classified).
Similarly, the same group calculated a PH risk score, by combining the same variables, according to the following formula: -5.953 + 0.188 × LS + 1.58 3 × sex (1: male; 0: female) + 26.705 × spleen diameter/platelet count ratio. For a cut-off of 0.63, this approach correctly classified more than 85% of patients, with an AUROC of 0.93 in both training and validation cohorts[59].
Spleen involvement in PH and LC is still a matter of debate, although splenomegaly is one of most important clinical signs used for diagnosis. Splanchnic congestion and/or hyperplasia and fibrosis are discussed as generating factors for splenomegaly[60]. Whichever the case, it is logical to presume that besides enlargement, the spleen also reacts by changing its density, a physical characteristic that became assessable using elastography. First data about spleen stiffness (SS) measurement came from MRI studies, which showed in 35 patients with varying degrees of chronic liver disease and 12 healthy volunteers, using an elastography protocol, a highly significant correlation between liver and spleen stiffness in patients with portal hypertension[61].
Our group was the first to use SS measurement (SSM) by transient elastography, showing that values become higher as the liver disease is more advanced[62]. In our cohort of 191 patients (of which, 137 cirrhotics, 59% with EV and 44% with LEV) SS correlated well with LS, the association being higher (r = 0.587) in patients with varices. We also managed to assess the factors related to SSM failure, which were elements associated with spleen size. Another report found that spleen transversal diameter > 4 cm is associated with successful measurement of SS[63].
Our initial report found a higher SS value in patients with EV, as compared with those without. The best cut-off to discriminate between them was 46.4 kPa, which showed a good accuracy (AUROC = 0.781) and a high PPV (93.4%). However, we found significant interpolation and could not distinguish between EV grades (similarly with LS). Nevertheless, if LS and SS are used together (LSM > 19 kPa for high sensitivity and SSM > 55 kPa for high specificity) the diagnostic accuracy of EV increased up to 88.5%[62]. Confirmation of these findings came from another study that found that LS and SS are independently associated with presence of varices (LS: OR = 1.149, P = 0.035; SS: OR = 1.068, P = 0.03)[64].
Evidence about SSM in cirrhotic patients was taken further by Colecchia et al[63], who found in a cohort of 100 patients a significant correlation between SS and HVPG (r2 = 0.78). In fact, the correlation was stronger than LS and HVPG (r2 = 0.7). SS has a better sensitivity (for the same specificity) than LS to rule-in the presence of EV and PH stages (both HVPG > 10 and HVPG > 12).
A meta-analysis of published data about SS (measured either by transient elastography or by other techniques - such as acoustic radiation force imaging or real time shear-wave - found a pooled sensitivity of 0.78 for detection of any EV and of 0.81 for detection of LEV, while the pooled specificity was 0.76 and 0.65, respectively[65]. Based on these data, SS is not yet accurate enough to replace EGD for EV assessment.
Since the beginning of its use, an intrinsic characteristic of the machine (FibroScan) seemed to interfere with the results. Apparently spleen is stiffer than liver, and in every patient group, regardless of their variceal status or the grade of their varices, we reached the highest value measurable by the device (75 kPa) causing serious interpolation. These findings lead to the hypothesis that if FibroScan could measure values beyond 75 kPa, we would possibly obtain better data[62]. Indeed, the manufacturer kindly developed a modified calculation algorithm for SS (not commercially available) that permits estimation of stiffness values up to 150 kPa after analysing the raw data of each elastogram.
Using this method, we found in a cohort of 80 patients with HCV-related cirrhosis that modified SS (mSS) discriminates better between classes and has a good accuracy to predict the presence of very high risk (grade 3) varices: (AUROC: 0.903, cut-off: 75 kPa, Se: 100%, Sp: 69.01%, PPV: 29%, NPV: 100%)[66]. These findings were further confirmed by another group which found in a cohort of 112 Child-Pugh A cirrhotics due to HCV an improved accuracy to predict LEV (AUROC: 0.82, cut-off: 54.0 kPa, Se: 80%, Sp: 70%)[67]. In this report, mSS - unlike LS or SS - was independently associated with LEV in multivariate analysis and correctly classified 70% of patients.
Very recently, Colecchia et al[68] found in a cohort of 92 VHC compensated cirrhotic patients that MELD score and SS value at baseline are independently correlated with clinical decompensation and may predict liver-related events during two years of follow up. Indeed, the 54 kPa cut-off value could discriminate between patients with low/high risk of events (NPV = 0.975). This finding may add a new valuable use for the method, besides the ones already demonstrated; SS may play a role as a triage test allowing the selection of patients with low risk of decompensation.
Ultrasonography (US) is the “almost perfect” noninvasive imaging tool, since it is easily available (even at bedside), non-irradiating, cheap and reproducible. It is, however, highly dependent on the technology and operator and using contrast agents increases the costs. It is widely known that US has high specificity for the diagnosis of cirrhosis, but the sensitivity is rather low. Splenomegaly and left lobe nodularity[69] are the most reliable signs for a positive diagnosis.
There was a great amount of expectation and hope from Doppler US, because of its dynamic character and ability to assess vascular flow. Initial reports found mean velocity of the portal vein, hepatic artery resistance index or splenic artery resistance index as suitable targets, and further combined them into composite scores that showed better diagnostic performance. Between them, congestion index of the portal vein: portal vein cross sectional area/mean portal vein flow velocity[70] and portal hypertension index: [(hepatic artery RI × 0.69) × (splenic artery RI × 0.87)]/portal vein mean velocity[71] appear to be the most reliable, the latter having for a value < 1 m/s-1, 100% sensitivity and 88.6% specificity to detect PH patients from healthy controls.
In later years, contrast enhanced ultrasound (CEUS) was widely used, mainly for characterization of focal liver lesions. CEUS was also used, however, for assessing diffuse liver diseases, showing a reduction of hepatic vein arrival time and hepatic transit time in patients with cirrhosis, and demonstrating the hyperdynamic circulation and intrahepatic arterial-venous shunts[72]. Only recently, CEUS was used to specifically assess PH in compensated cirrhotic patients by estimating regional hepatic perfusion (RHP) as the product between microbubbles velocity and microbubble concentration in a post-processing analysis of contrast replenishment in the selected area after microbubble destruction[73]. RHP correlated with MELD score and ICG clearance, and most importantly, showed a tendency to correlate with portal pressure decrease after iv propranolol administration (the correlation was, however, not significant at P = 0.08, most probably because of the small sample size, 10 patients).
In the quest for the best noninvasive approach to patients with advanced liver disease, a combination of tests seems to be the way to go.
Using ARFI as the elastographic technique and regression analysis, Bota et al[74] composed a LEV prediction score: - 0.572 + 0.041 × LS (m/s) + 0.122 × SS (m/s) + 0.325 × ascites (1, absent, 2, present). For a cut-off value > 0.395, the performance to detect LEV was good (AUROC 0.721, for correctly classifying 69.6% of patients).
Our group also combined LS, SS and serum markers to enhance the accuracy of the previously proposed algorithm. Our approach proposes as a first step the use of LS and calculation of Lok score. If LS is < 19 kPa and Lok score < 0.6, the risk of LEV is very low, while if LS is > 38 kPa and the Lok score > 0.8 the likelihood of LEV is high. For the non-concordant cases, we added SS as a discriminant second step, using 55 kPa as cut-off value to rule in LEV. The algorithm correlated well with LEV (r = 0.456, P < 0.0001) and correctly classified 68% of patients, with a Se of 95% and a NPV of 92%[75].
Undoubtedly, stiffness measurement (of liver and/or the spleen) represents a major step forward in the management of patients with advanced liver disease. From a surrogate of liver fibrosis, LS became an independent variable associated with the presence of PH-related complications, risk of decompensation or survival. Similarly, SS appears to be slightly better in assessment of PH complications and (L) EV in cirrhotic patients, and there is growing evidence that it also plays an important role in prognosis. Dynamic CEUS evaluation may be a valuable additional tool to assess PH changes in these patients. A combination of noninvasive approaches increases the diagnostic performance, but for the moment EGD and HVPG cannot be excluded from the work-up of patients with chronic liver diseases. Unfortunately, there is no noninvasive method that can acceptably monitor the response to therapy in these patients. There is also a lack of data about the monitoring of disease progression using LS or other noninvasive methods.
Hence, this field is far from being closed, and deserves more attention. There is still a place for more carefully designed studies to find new, innovative and reliable approaches.
P- Reviewer: Sinakos E S- Editor: Gou SX L- Editor: Logan S E- Editor: Wang CH
1. | Bosch J, Garcia-Pagán JC, Berzigotti A, Abraldes JG. Measurement of portal pressure and its role in the management of chronic liver disease. Semin Liver Dis. 2006;26:348-362. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 146] [Cited by in F6Publishing: 153] [Article Influence: 8.5] [Reference Citation Analysis (0)] |
2. | Burroughs AK, Groszmann R, Bosch J, Grace N, Garcia-Tsao G, Patch D, Garcia-Pagan JC, Dagher L. Assessment of therapeutic benefit of antiviral therapy in chronic hepatitis C: is hepatic venous pressure gradient a better end point? Gut. 2002;50:425-427. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 94] [Cited by in F6Publishing: 92] [Article Influence: 4.2] [Reference Citation Analysis (0)] |
3. | Rincon D, Ripoll C, Lo Iacono O, Salcedo M, Catalina MV, Alvarez E, Nuñez O, Matilla AM, Clemente G, Bañares R. Antiviral therapy decreases hepatic venous pressure gradient in patients with chronic hepatitis C and advanced fibrosis. Am J Gastroenterol. 2006;101:2269-2274. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 128] [Cited by in F6Publishing: 113] [Article Influence: 6.3] [Reference Citation Analysis (0)] |
4. | Garcia-Tsao G, Groszmann RJ, Fisher RL, Conn HO, Atterbury CE, Glickman M. Portal pressure, presence of gastroesophageal varices and variceal bleeding. Hepatology. 1985;5:419-424. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 678] [Cited by in F6Publishing: 540] [Article Influence: 13.8] [Reference Citation Analysis (0)] |
5. | Groszmann RJ, Garcia-Tsao G, Bosch J, Grace ND, Burroughs AK, Planas R, Escorsell A, Garcia-Pagan JC, Patch D, Matloff DS. Beta-blockers to prevent gastroesophageal varices in patients with cirrhosis. N Engl J Med. 2005;353:2254-2261. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 714] [Cited by in F6Publishing: 621] [Article Influence: 32.7] [Reference Citation Analysis (0)] |
6. | Ripoll C, Groszmann R, Garcia-Tsao G, Grace N, Burroughs A, Planas R, Escorsell A, Garcia-Pagan JC, Makuch R, Patch D. Hepatic venous pressure gradient predicts clinical decompensation in patients with compensated cirrhosis. Gastroenterology. 2007;133:481-488. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 747] [Cited by in F6Publishing: 740] [Article Influence: 43.5] [Reference Citation Analysis (0)] |
7. | Ripoll C, Groszmann RJ, Garcia-Tsao G, Bosch J, Grace N, Burroughs A, Planas R, Escorsell A, Garcia-Pagan JC, Makuch R. Hepatic venous pressure gradient predicts development of hepatocellular carcinoma independently of severity of cirrhosis. J Hepatol. 2009;50:923-928. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 284] [Cited by in F6Publishing: 275] [Article Influence: 18.3] [Reference Citation Analysis (0)] |
8. | Vorobioff J, Groszmann RJ, Picabea E, Gamen M, Villavicencio R, Bordato J, Morel I, Audano M, Tanno H, Lerner E. Prognostic value of hepatic venous pressure gradient measurements in alcoholic cirrhosis: a 10-year prospective study. Gastroenterology. 1996;111:701-709. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 237] [Cited by in F6Publishing: 196] [Article Influence: 7.0] [Reference Citation Analysis (0)] |
9. | Ripoll C, Bañares R, Rincón D, Catalina MV, Lo Iacono O, Salcedo M, Clemente G, Núñez O, Matilla A, Molinero LM. Influence of hepatic venous pressure gradient on the prediction of survival of patients with cirrhosis in the MELD Era. Hepatology. 2005;42:793-801. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 177] [Cited by in F6Publishing: 168] [Article Influence: 8.8] [Reference Citation Analysis (0)] |
10. | Feu F, García-Pagán JC, Bosch J, Luca A, Terés J, Escorsell A, Rodés J. Relation between portal pressure response to pharmacotherapy and risk of recurrent variceal haemorrhage in patients with cirrhosis. Lancet. 1995;346:1056-1059. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 457] [Cited by in F6Publishing: 433] [Article Influence: 14.9] [Reference Citation Analysis (0)] |
11. | Moitinho E, Escorsell A, Bandi JC, Salmerón JM, García-Pagán JC, Rodés J, Bosch J. Prognostic value of early measurements of portal pressure in acute variceal bleeding. Gastroenterology. 1999;117:626-631. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 342] [Cited by in F6Publishing: 294] [Article Influence: 11.8] [Reference Citation Analysis (0)] |
12. | Garcia-Tsao G, Sanyal AJ, Grace ND, Carey W. Prevention and management of gastroesophageal varices and variceal hemorrhage in cirrhosis. Hepatology. 2007;46:922-938. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 1229] [Cited by in F6Publishing: 1168] [Article Influence: 68.7] [Reference Citation Analysis (0)] |
13. | de Franchis R. Revising consensus in portal hypertension: report of the Baveno V consensus workshop on methodology of diagnosis and therapy in portal hypertension. J Hepatol. 2010;53:762-768. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 1066] [Cited by in F6Publishing: 1003] [Article Influence: 71.6] [Reference Citation Analysis (0)] |
14. | Bosch J, Abraldes JG, Berzigotti A, García-Pagan JC. The clinical use of HVPG measurements in chronic liver disease. Nat Rev Gastroenterol Hepatol. 2009;6:573-582. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 451] [Cited by in F6Publishing: 482] [Article Influence: 32.1] [Reference Citation Analysis (0)] |
15. | Turnes J, Garcia-Pagan JC, Abraldes JG, Hernandez-Guerra M, Dell’Era A, Bosch J. Pharmacological reduction of portal pressure and long-term risk of first variceal bleeding in patients with cirrhosis. Am J Gastroenterol. 2006;101:506-512. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 165] [Cited by in F6Publishing: 152] [Article Influence: 8.4] [Reference Citation Analysis (0)] |
16. | Targownik LE, Spiegel BM, Dulai GS, Karsan HA, Gralnek IM. The cost-effectiveness of hepatic venous pressure gradient monitoring in the prevention of recurrent variceal hemorrhage. Am J Gastroenterol. 2004;99:1306-1315. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 25] [Cited by in F6Publishing: 24] [Article Influence: 1.2] [Reference Citation Analysis (0)] |
17. | D’Amico G, Garcia-Tsao G, Pagliaro L. Natural history and prognostic indicators of survival in cirrhosis: a systematic review of 118 studies. J Hepatol. 2006;44:217-231. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 1892] [Cited by in F6Publishing: 1991] [Article Influence: 110.6] [Reference Citation Analysis (1)] |
18. | D’Amico G, Pasta L, Morabito A, D’Amico M, Caltagirone M, Malizia G, Tinè F, Giannuoli G, Traina M, Vizzini G. Competing risks and prognostic stages of cirrhosis: a 25-year inception cohort study of 494 patients. Aliment Pharmacol Ther. 2014;39:1180-1193. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 304] [Cited by in F6Publishing: 327] [Article Influence: 32.7] [Reference Citation Analysis (0)] |
19. | Sandrin L, Fourquet B, Hasquenoph JM, Yon S, Fournier C, Mal F, Christidis C, Ziol M, Poulet B, Kazemi F. Transient elastography: a new noninvasive method for assessment of hepatic fibrosis. Ultrasound Med Biol. 2003;29:1705-1713. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 1967] [Cited by in F6Publishing: 1857] [Article Influence: 88.4] [Reference Citation Analysis (0)] |
20. | Friedrich-Rust M, Ong MF, Martens S, Sarrazin C, Bojunga J, Zeuzem S, Herrmann E. Performance of transient elastography for the staging of liver fibrosis: a meta-analysis. Gastroenterology. 2008;134:960-974. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 1046] [Cited by in F6Publishing: 1031] [Article Influence: 64.4] [Reference Citation Analysis (1)] |
21. | Lupsor Platon M, Stefanescu H, Feier D, Maniu A, Badea R. Performance of unidimensional transient elastography in staging chronic hepatitis C. Results from a cohort of 1,202 biopsied patients from one single center. J Gastrointestin Liver Dis. 2013;22:157-166. [PubMed] [Cited in This Article: ] |
22. | Foucher J, Chanteloup E, Vergniol J, Castéra L, Le Bail B, Adhoute X, Bertet J, Couzigou P, de Lédinghen V. Diagnosis of cirrhosis by transient elastography (FibroScan): a prospective study. Gut. 2006;55:403-408. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 897] [Cited by in F6Publishing: 918] [Article Influence: 51.0] [Reference Citation Analysis (0)] |
23. | Vergniol J, Foucher J, Terrebonne E, Bernard PH, le Bail B, Merrouche W, Couzigou P, de Ledinghen V. Noninvasive tests for fibrosis and liver stiffness predict 5-year outcomes of patients with chronic hepatitis C. Gastroenterology. 2011;140:1970-1979, 1979.e1-3. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 291] [Cited by in F6Publishing: 291] [Article Influence: 22.4] [Reference Citation Analysis (0)] |
24. | Vizzutti F, Arena U, Romanelli RG, Rega L, Foschi M, Colagrande S, Petrarca A, Moscarella S, Belli G, Zignego AL. Liver stiffness measurement predicts severe portal hypertension in patients with HCV-related cirrhosis. Hepatology. 2007;45:1290-1297. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 527] [Cited by in F6Publishing: 493] [Article Influence: 29.0] [Reference Citation Analysis (0)] |
25. | Carrión JA, Navasa M, Bosch J, Bruguera M, Gilabert R, Forns X. Transient elastography for diagnosis of advanced fibrosis and portal hypertension in patients with hepatitis C recurrence after liver transplantation. Liver Transpl. 2006;12:1791-1798. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 314] [Cited by in F6Publishing: 302] [Article Influence: 16.8] [Reference Citation Analysis (0)] |
26. | Reiberger T, Ferlitsch A, Payer BA, Pinter M, Homoncik M, Peck-Radosavljevic M. Non-selective β-blockers improve the correlation of liver stiffness and portal pressure in advanced cirrhosis. J Gastroenterol. 2012;47:561-568. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 87] [Cited by in F6Publishing: 85] [Article Influence: 7.1] [Reference Citation Analysis (0)] |
27. | Shi KQ, Fan YC, Pan ZZ, Lin XF, Liu WY, Chen YP, Zheng MH. Transient elastography: a meta-analysis of diagnostic accuracy in evaluation of portal hypertension in chronic liver disease. Liver Int. 2013;33:62-71. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 150] [Cited by in F6Publishing: 137] [Article Influence: 12.5] [Reference Citation Analysis (0)] |
28. | Badaracco G, Tubiello G, Benfante R, Cotelli F, Maiorano D, Landsberger N. Highly repetitive DNA sequence in parthenogenetic Artemia. J Mol Evol. 1991;32:31-36. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 272] [Cited by in F6Publishing: 256] [Article Influence: 17.1] [Reference Citation Analysis (0)] |
29. | Kazemi F, Kettaneh A, N’kontchou G, Pinto E, Ganne-Carrie N, Trinchet JC, Beaugrand M. Liver stiffness measurement selects patients with cirrhosis at risk of bearing large oesophageal varices. J Hepatol. 2006;45:230-235. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 278] [Cited by in F6Publishing: 268] [Article Influence: 14.9] [Reference Citation Analysis (0)] |
30. | Bureau C, Metivier S, Peron JM, Selves J, Robic MA, Gourraud PA, Rouquet O, Dupuis E, Alric L, Vinel JP. Transient elastography accurately predicts presence of significant portal hypertension in patients with chronic liver disease. Aliment Pharmacol Ther. 2008;27:1261-1268. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 278] [Cited by in F6Publishing: 263] [Article Influence: 16.4] [Reference Citation Analysis (0)] |
31. | Sanyal AJ, Fontana RJ, Di Bisceglie AM, Everhart JE, Doherty MC, Everson GT, Donovan JA, Malet PF, Mehta S, Sheikh MY. The prevalence and risk factors associated with esophageal varices in subjects with hepatitis C and advanced fibrosis. Gastrointest Endosc. 2006;64:855-864. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 76] [Cited by in F6Publishing: 79] [Article Influence: 4.4] [Reference Citation Analysis (0)] |
32. | Thabut D, Trabut JB, Massard J, Rudler M, Muntenau M, Messous D, Poynard T. Non-invasive diagnosis of large oesophageal varices with FibroTest in patients with cirrhosis: a preliminary retrospective study. Liver Int. 2006;26:271-278. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 86] [Cited by in F6Publishing: 87] [Article Influence: 4.8] [Reference Citation Analysis (0)] |
33. | de Franchis R. Noninvasive diagnosis of esophageal varices: is it feasible? Am J Gastroenterol. 2006;101:2520-2522. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 38] [Cited by in F6Publishing: 36] [Article Influence: 2.0] [Reference Citation Analysis (0)] |
34. | Bosch J. Predictions from a hard liver. J Hepatol. 2006;45:174-177. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 22] [Cited by in F6Publishing: 23] [Article Influence: 1.3] [Reference Citation Analysis (0)] |
35. | Pinzani M. Non-invasive evaluation of hepatic fibrosis: don’t count your chickens before they’re hatched. Gut. 2006;55:310-312. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 34] [Cited by in F6Publishing: 37] [Article Influence: 2.1] [Reference Citation Analysis (0)] |
36. | Masuzaki R, Tateishi R, Yoshida H, Goto E, Sato T, Ohki T, Imamura J, Goto T, Kanai F, Kato N. Prospective risk assessment for hepatocellular carcinoma development in patients with chronic hepatitis C by transient elastography. Hepatology. 2009;49:1954-1961. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 294] [Cited by in F6Publishing: 296] [Article Influence: 19.7] [Reference Citation Analysis (0)] |
37. | Singh S, Fujii LL, Murad MH, Wang Z, Asrani SK, Ehman RL, Kamath PS, Talwalkar JA. Liver stiffness is associated with risk of decompensation, liver cancer, and death in patients with chronic liver diseases: a systematic review and meta-analysis. Clin Gastroenterol Hepatol. 2013;11:1573-1584.e1-2; quiz e88-89. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 125] [Cited by in F6Publishing: 127] [Article Influence: 11.5] [Reference Citation Analysis (0)] |
38. | Robic MA, Procopet B, Métivier S, Péron JM, Selves J, Vinel JP, Bureau C. Liver stiffness accurately predicts portal hypertension related complications in patients with chronic liver disease: a prospective study. J Hepatol. 2011;55:1017-1024. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 229] [Cited by in F6Publishing: 236] [Article Influence: 18.2] [Reference Citation Analysis (0)] |
39. | Vergniol J, Boursier J, Coutzac C, Bertrais S, Foucher J, Angel C, Chermak F, Hubert IF, Merrouche W, Oberti F. Evolution of noninvasive tests of liver fibrosis is associated with prognosis in patients with chronic hepatitis C. Hepatology. 2014;60:65-76. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 107] [Cited by in F6Publishing: 97] [Article Influence: 9.7] [Reference Citation Analysis (0)] |
40. | Berzigotti A, De Gottardi A, Vukotic R, Siramolpiwat S, Abraldes JG, García-Pagan JC, Bosch J. Effect of meal ingestion on liver stiffness in patients with cirrhosis and portal hypertension. PLoS One. 2013;8:e58742. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 93] [Cited by in F6Publishing: 88] [Article Influence: 8.0] [Reference Citation Analysis (0)] |
41. | Corpechot C, Gaouar F, El Naggar A, Kemgang A, Wendum D, Poupon R, Carrat F, Chazouillères O. Baseline values and changes in liver stiffness measured by transient elastography are associated with severity of fibrosis and outcomes of patients with primary sclerosing cholangitis. Gastroenterology. 2014;146:970-979; quiz e15-16. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 175] [Cited by in F6Publishing: 179] [Article Influence: 17.9] [Reference Citation Analysis (0)] |
42. | Wang JH, Chuah SK, Lu SN, Hung CH, Kuo CM, Tai WC, Chiou SS. Baseline and serial liver stiffness measurement in prediction of portal hypertension progression for patients with compensated cirrhosis. Liver Int. 2014;34:1340-1348. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 26] [Cited by in F6Publishing: 31] [Article Influence: 3.1] [Reference Citation Analysis (0)] |
43. | Castera L. Transient elastography and other noninvasive tests to assess hepatic fibrosis in patients with viral hepatitis. J Viral Hepat. 2009;16:300-314. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 119] [Cited by in F6Publishing: 108] [Article Influence: 7.2] [Reference Citation Analysis (0)] |
44. | Vanbiervliet G, Barjoan-Mariné E, Anty R, Piche T, Hastier P, Rakotoarisoa C, Benzaken S, Rampal P, Tran A. Serum fibrosis markers can detect large oesophageal varices with a high accuracy. Eur J Gastroenterol Hepatol. 2005;17:333-338. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 13] [Cited by in F6Publishing: 12] [Article Influence: 0.6] [Reference Citation Analysis (0)] |
45. | Mamori S, Searashi Y, Matsushima M, Hashimoto K, Uetake S, Matsudaira H, Ito S, Nakajima H, Tajiri H. Serum type IV collagen level is predictive for esophageal varices in patients with severe alcoholic disease. World J Gastroenterol. 2008;14:2044-2048. [PubMed] [DOI] [Cited in This Article: ] [Cited by in CrossRef: 6] [Cited by in F6Publishing: 5] [Article Influence: 0.3] [Reference Citation Analysis (0)] |
46. | Giannini E, Risso D, Botta F, Chiarbonello B, Fasoli A, Malfatti F, Romagnoli P, Testa E, Ceppa P, Testa R. Validity and clinical utility of the aspartate aminotransferase-alanine aminotransferase ratio in assessing disease severity and prognosis in patients with hepatitis C virus-related chronic liver disease. Arch Intern Med. 2003;163:218-224. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 236] [Cited by in F6Publishing: 227] [Article Influence: 10.8] [Reference Citation Analysis (0)] |
47. | Wai CT, Greenson JK, Fontana RJ, Kalbfleisch JD, Marrero JA, Conjeevaram HS, Lok AS. A simple noninvasive index can predict both significant fibrosis and cirrhosis in patients with chronic hepatitis C. Hepatology. 2003;38:518-526. [PubMed] [Cited in This Article: ] |
48. | Giannini EG, Zaman A, Kreil A, Floreani A, Dulbecco P, Testa E, Sohaey R, Verhey P, Peck-Radosavljevic M, Mansi C. Platelet count/spleen diameter ratio for the noninvasive diagnosis of esophageal varices: results of a multicenter, prospective, validation study. Am J Gastroenterol. 2006;101:2511-2519. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 164] [Cited by in F6Publishing: 157] [Article Influence: 8.7] [Reference Citation Analysis (0)] |
49. | Sebastiani G, Tempesta D, Fattovich G, Castera L, Halfon P, Bourliere M, Noventa F, Angeli P, Saggioro A, Alberti A. Prediction of oesophageal varices in hepatic cirrhosis by simple serum non-invasive markers: Results of a multicenter, large-scale study. J Hepatol. 2010;53:630-638. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 94] [Cited by in F6Publishing: 88] [Article Influence: 6.3] [Reference Citation Analysis (0)] |
50. | Sebastiani G, Halfon P, Castera L, Pol S, Thomas DL, Mangia A, Di Marco V, Pirisi M, Voiculescu M, Guido M. SAFE biopsy: a validated method for large-scale staging of liver fibrosis in chronic hepatitis C. Hepatology. 2009;49:1821-1827. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 129] [Cited by in F6Publishing: 118] [Article Influence: 7.9] [Reference Citation Analysis (0)] |
51. | Thabut D, Imbert-Bismut F, Cazals-Hatem D, Messous D, Muntenau M, Valla DC, Moreau R, Poynard T, Lebrec D. Relationship between the Fibrotest and portal hypertension in patients with liver disease. Aliment Pharmacol Ther. 2007;26:359-368. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 66] [Cited by in F6Publishing: 57] [Article Influence: 3.4] [Reference Citation Analysis (0)] |
52. | Castera L, Pinzani M. Biopsy and non-invasive methods for the diagnosis of liver fibrosis: does it take two to tango? Gut. 2010;59:861-866. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 153] [Cited by in F6Publishing: 146] [Article Influence: 10.4] [Reference Citation Analysis (0)] |
53. | Pinzani M, Vizzutti F, Arena U, Marra F. Technology Insight: noninvasive assessment of liver fibrosis by biochemical scores and elastography. Nat Clin Pract Gastroenterol Hepatol. 2008;5:95-106. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 125] [Cited by in F6Publishing: 141] [Article Influence: 8.8] [Reference Citation Analysis (0)] |
54. | Schepis F, Cammà C, Niceforo D, Magnano A, Pallio S, Cinquegrani M, D’amico G, Pasta L, Craxì A, Saitta A. Which patients with cirrhosis should undergo endoscopic screening for esophageal varices detection? Hepatology. 2001;33:333-338. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 184] [Cited by in F6Publishing: 203] [Article Influence: 8.8] [Reference Citation Analysis (0)] |
55. | Castéra L, Vergniol J, Foucher J, Le Bail B, Chanteloup E, Haaser M, Darriet M, Couzigou P, De Lédinghen V. Prospective comparison of transient elastography, Fibrotest, APRI, and liver biopsy for the assessment of fibrosis in chronic hepatitis C. Gastroenterology. 2005;128:343-350. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 1796] [Cited by in F6Publishing: 1778] [Article Influence: 93.6] [Reference Citation Analysis (0)] |
56. | Stefanescu H, Grigorescu M, Lupsor M, Maniu A, Crisan D, Procopet B, Feier D, Badea R. A new and simple algorithm for the noninvasive assessment of esophageal varices in cirrhotic patients using serum fibrosis markers and transient elastography. J Gastrointestin Liver Dis. 2011;20:57-64. [PubMed] [Cited in This Article: ] |
57. | Kim BK, Han KH, Park JY, Ahn SH, Kim JK, Paik YH, Lee KS, Chon CY, Kim do Y. A liver stiffness measurement-based, noninvasive prediction model for high-risk esophageal varices in B-viral liver cirrhosis. Am J Gastroenterol. 2010;105:1382-1390. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 168] [Cited by in F6Publishing: 154] [Article Influence: 11.0] [Reference Citation Analysis (0)] |
58. | Kim BK, Kim do Y, Han KH, Park JY, Kim JK, Paik YH, Lee KS, Chon CY, Ahn SH. Risk assessment of esophageal variceal bleeding in B-viral liver cirrhosis by a liver stiffness measurement-based model. Am J Gastroenterol. 2011;106:1654-1662, 1730. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 44] [Cited by in F6Publishing: 49] [Article Influence: 3.8] [Reference Citation Analysis (0)] |
59. | Berzigotti A, Seijo S, Arena U, Abraldes JG, Vizzutti F, García-Pagán JC, Pinzani M, Bosch J. Elastography, spleen size, and platelet count identify portal hypertension in patients with compensated cirrhosis. Gastroenterology. 2013;144:102-111.e1. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 349] [Cited by in F6Publishing: 353] [Article Influence: 32.1] [Reference Citation Analysis (0)] |
60. | Bolognesi M, Merkel C, Sacerdoti D, Nava V, Gatta A. Role of spleen enlargement in cirrhosis with portal hypertension. Dig Liver Dis. 2002;34:144-150. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 168] [Cited by in F6Publishing: 161] [Article Influence: 7.3] [Reference Citation Analysis (0)] |
61. | Talwalkar JA, Yin M, Venkatesh S, Rossman PJ, Grimm RC, Manduca A, Romano A, Kamath PS, Ehman RL. Feasibility of in vivo MR elastographic splenic stiffness measurements in the assessment of portal hypertension. AJR Am J Roentgenol. 2009;193:122-127. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 149] [Cited by in F6Publishing: 144] [Article Influence: 9.6] [Reference Citation Analysis (0)] |
62. | Stefanescu H, Grigorescu M, Lupsor M, Procopet B, Maniu A, Badea R. Spleen stiffness measurement using Fibroscan for the noninvasive assessment of esophageal varices in liver cirrhosis patients. J Gastroenterol Hepatol. 2011;26:164-170. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 155] [Cited by in F6Publishing: 143] [Article Influence: 11.0] [Reference Citation Analysis (0)] |
63. | Colecchia A, Montrone L, Scaioli E, Bacchi-Reggiani ML, Colli A, Casazza G, Schiumerini R, Turco L, Di Biase AR, Mazzella G. Measurement of spleen stiffness to evaluate portal hypertension and the presence of esophageal varices in patients with HCV-related cirrhosis. Gastroenterology. 2012;143:646-654. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 359] [Cited by in F6Publishing: 351] [Article Influence: 29.3] [Reference Citation Analysis (0)] |
64. | Di Marco V, Bronte F, Calvaruso V, Camma C, Cabibi D, Licata G, Simone F, Craxì A. Fibrospleen: measuring spleen stiffness by transient elastography increases accuracy of staging of liver fibrosis and of portal hypertension in chronic viral hepatitis (abstr). J Hepatol. 2009;50:S148. [Cited in This Article: ] |
65. | Singh S, Eaton JE, Murad MH, Tanaka H, Iijima H, Talwalkar JA. Accuracy of spleen stiffness measurement in detection of esophageal varices in patients with chronic liver disease: systematic review and meta-analysis. Clin Gastroenterol Hepatol. 2014;12:935-945.e4. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 87] [Cited by in F6Publishing: 75] [Article Influence: 7.5] [Reference Citation Analysis (0)] |
66. | Stefanescu H, Bastard C, Lupsor M, Feier D, Miette V, Sandrin L, Badea R. Spleen stiffness measurement using Fibroscan and a modified calculation algorithm increases the diagnosis performance of large esophageal varices in cirrhotic patients. J Hepatol. 2011;54:S545. [DOI] [Cited in This Article: ] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 0.2] [Reference Citation Analysis (0)] |
67. | Calvaruso V, Bronte F, Conte E, Simone F, Craxì A, Di Marco V. Modified spleen stiffness measurement by transient elastography is associated with presence of large oesophageal varices in patients with compensated hepatitis C virus cirrhosis. J Viral Hepat. 2013;20:867-874. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 72] [Cited by in F6Publishing: 65] [Article Influence: 5.9] [Reference Citation Analysis (0)] |
68. | Colecchia A, Colli A, Casazza G, Mandolesi D, Schiumerini R, Reggiani LB, Marasco G, Taddia M, Lisotti A, Mazzella G. Spleen stiffness measurement can predict clinical complications in compensated HCV-related cirrhosis: a prospective study. J Hepatol. 2014;60:1158-1164. [PubMed] [DOI] [Cited in This Article: ] |
69. | Berzigotti A, Abraldes JG, Tandon P, Erice E, Gilabert R, García-Pagan JC, Bosch J. Ultrasonographic evaluation of liver surface and transient elastography in clinically doubtful cirrhosis. J Hepatol. 2010;52:846-853. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 75] [Cited by in F6Publishing: 66] [Article Influence: 4.7] [Reference Citation Analysis (0)] |
70. | Moriyasu F, Nishida O, Ban N, Nakamura T, Sakai M, Miyake T, Uchino H. “Congestion index” of the portal vein. AJR Am J Roentgenol. 1986;146:735-739. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 173] [Cited by in F6Publishing: 150] [Article Influence: 3.9] [Reference Citation Analysis (0)] |
71. | Piscaglia F, Donati G, Serra C, Muratori R, Solmi L, Gaiani S, Gramantieri L, Bolondi L. Value of splanchnic Doppler ultrasound in the diagnosis of portal hypertension. Ultrasound Med Biol. 2001;27:893-899. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 48] [Cited by in F6Publishing: 38] [Article Influence: 1.7] [Reference Citation Analysis (0)] |
72. | Abbattista T, Ridolfi F, Ciabattoni E, Marini F, Bendia E, Brunelli E, Busilacchi P. Diagnosis of liver cirrhosis by transit-time analysis at contrast-enhanced ultrasonography. Radiol Med. 2008;113:860-874. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 18] [Cited by in F6Publishing: 17] [Article Influence: 1.1] [Reference Citation Analysis (0)] |
73. | Berzigotti A, Nicolau C, Bellot P, Abraldes JG, Gilabert R, García-Pagan JC, Bosch J. Evaluation of regional hepatic perfusion (RHP) by contrast-enhanced ultrasound in patients with cirrhosis. J Hepatol. 2011;55:307-314. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 34] [Cited by in F6Publishing: 37] [Article Influence: 2.8] [Reference Citation Analysis (0)] |
74. | Bota S, Sporea I, Sirli R, Focsa M, Popescu A, Danila M, Strain M. Can ARFI elastography predict the presence of significant esophageal varices in newly diagnosed cirrhotic patients? Ann Hepatol. 2012;11:519-525. [PubMed] [Cited in This Article: ] |
75. | Stefanescu H, Procopet B, Platon Lupsor M, Maniu A, Radu C. Proposal for a new, stepwise algorithm combining liver and spleen stiffness and lok score for diagnosis of large esophageal varices in patients with liver cirrhosis. J Hepatol. 2014;60:S243-S244. [DOI] [Cited in This Article: ] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.1] [Reference Citation Analysis (0)] |