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1. Introduction
Cirrhosis is the end stage of chronic liver disease, which is histologically characterized by fibrosis, scar, and regenerative nodules leading to structural deformation [1]. A major consequence of advanced cirrhosis is portal hypertension, which leads to the development of gastroesophageal varices (GEVs) [2]. Endoscopy should be performed at the time of first diagnosis of liver cirrhosis [3]. GEVs are observed in about 50% of patients with cirrhosis, and 8% of patients without GEVs develop them each year. Patients with no or small varices and without prior history of variceal bleeding should undergo endoscopic surveillance every 1-2 years. Bleeding from GEVs results in a mortality of 5-20% at 6 weeks. Endoscopic treatment, such as endoscopic variceal ligation (EVL) or tissue adhesive injection, is recommended for the management of high-risk varices and acute variceal bleeding [3–5]. However, patients undergoing endoscopic treatment for variceal bleeding have a high variceal recurrence rate of 8-48% [6, 7], a rebleeding rate of 20-43%, and a bleeding related mortality of 19-34% [8]. Therefore, after endoscopic treatment, repeated EVL should be performed every 1-2 weeks until variceal obliteration. The first endoscopic surveillance for variceal recurrence should be performed within 1-3 months after variceal obliteration, and then endoscopic surveillance should be repeated every 6-12 months [5].
Despite endoscopy is the golden approach for diagnosis and surveillance of GEVs according to the current practice guideline and consensus, it is often limited by increased invasiveness, patients’ discomfort and poor adherence, and high cost [9–11]. Recently, noninvasive blood tests have been used to diagnose GEVs [12, 13], such as aspartate aminotransferase (AST) to platelet (PLT) ratio index (APRI), AST to alanine aminotransferase (ALT) ratio (AAR), fibrosis 4 index (FIB-4), Lok score, and King score. Contrast-enhanced computed tomography (CT), a conventional diagnostic imaging tool in patients with liver diseases, has also been explored for the assessment of GEVs [14–17]. Additionally, a combination of blood tests with imaging examination for screening GEVs, such as PLT count to spleen diameter ratio (PSR), has been frequently explored [18].
Notably, the performance of these diagnostic alternatives may be heterogeneous among different study populations. However, until now, no study has evaluated their diagnostic accuracy according to the patient characteristics [11]. For this reason, we conducted a retrospective observational study to evaluate the accuracy of blood tests, PSR, and contrast-enhanced CT for diagnosing esophageal varices (EVs) and gastric varices (GVs) in cirrhotic patients with and without variceal bleeding or previous endoscopic variceal therapy.
2. Methods
2.1. Patients
This was a single-center retrospective observational study on the basis of our prospective database regarding cirrhotic patients undergoing both contrast-enhanced CT and upper gastrointestinal endoscopy. This study was approved by the medical ethical committee of our hospital and the approval number was [k (2018) 08]. The patients’ informed consents were waived. All patients consecutively admitted to our department from December 2014 to October 2018 were potentially eligible.
The inclusion criteria were as follows: (1) patients had a diagnosis of liver cirrhosis according to the medical history, clinical features, imaging, and/or histological results and (2) both contrast-enhanced CT and endoscopic examinations were performed at their admissions, and the time interval between the two examinations was within one month. Repeated admission was not excluded.
The exclusion criteria were as follows: (1) patients had a definite diagnosis of malignant tumors, (2) contrast-enhanced CT was performed after endoscopic treatment at their admissions, and (3) contrast-enhanced CT images were not well preserved.
2.2. Groups
According to the previous history of endoscopic treatment for variceal bleeding, history of gastrointestinal bleeding (GIB), and presence of acute upper gastrointestinal bleeding (AUGIB), the patients were divided into four groups:
(1)
Primary prophylaxis population (no history of endoscopic treatment, no history of GIB, and absence of AUGIB)
(2)
Acute bleeding population (no history of endoscopic treatment, but with presence of AUGIB, regardless of history of GIB)
(3)
Previous bleeding population (no history of endoscopic treatment, absence of AUGIB, but with a history of GIB)
(4)
Secondary prophylaxis population (a history of endoscopic treatment for variceal bleeding, but absence of GIB)
As for the secondary prophylaxis population, the patients would be further excluded, if the time interval between prior endoscopic treatment and present admission was less than one month [19]. This is primarily because the esophagus and stomach lumen mucosa may not be fully recovered during a short postoperative period, which will cause a potential radiological artifact on CT images and influence its diagnostic performance.
2.3. Data Collection
The data were collected as follows: age, sex, etiology of liver diseases, ascites, interval between prior endoscopic treatment and present admission, red blood cell (RBC), hemoglobin (Hb), white blood cell (WBC), PLT, total bilirubin (TBIL), direct bilirubin (DBIL), albumin (ALB), ALT, AST, alkaline phosphatase (AKP), γ-glutamine transferase (GGT), blood urea nitrogen (BUN), serum creatinine (SCr), prothrombin time (PT), activated partial thromboplastin time (APTT), and international normalized ratio (INR). The maximum diameter of the spleen was measured on axial contrast-enhanced CT images. The Child-Pugh [20] model for end-stage of liver disease (MELD) [21], APRI [22], AAR [23], FIB-4 [24], Lok [25], King [26], and PSR [27] scores were calculated as follows:
2.4. Contrast-Enhanced CT Images
Two observers (QL and RW) used the patients’ names or case numbers to search contrast-enhanced CT images in the PowerRIS system. Notably, they were blinded to the laboratory and endoscopic findings when the CT images were retrospectively analyzed. They independently evaluated the presence of GEVs. EVs or GVs were defined as enhancing lesions abutted the luminal surface of the esophageal or gastric wall or protruded into esophageal or gastric luminal space at the portal vein phases of contrast-enhanced CT images [28, 29]. They also independently selected the CT layer with the maximum diameter of varices. In cases of any inconsistency in measuring the maximum diameter of varices between the two observers, a discussion with another investigator (XQ) was made until a consensus was achieved. Additionally, they evaluated the spleen and measured the maximum diameter of the spleen on contrast-enhanced CT images.
2.5. Endoscopy
In the present study, an endoscopist (DS) underwent all endoscopic examinations. The shape of EVs and red color (RC) signs were described, and then the grade of EVs was evaluated. The grade of EVs is classified into no, mild, moderate, and severe according to the 2008 Hangzhou consensus [30]. The detailed definitions are as follows: (1) mild EVs: straight or slight tortuous EVs without RC signs; (2) moderate EVs: straight or slightly tortuous EVs with RC signs or serpentine tortuous uplifted EVs without RC signs; and (3) severe EVs: serpentine tortuous uplifted EVs with RC signs or beaded, nodular, or tumor-like EVs with or without RC signs. EVs needing treatment (EVNTs) were further defined as moderate and severe EVs. The presence of GVs was also evaluated. GVs needing treatment (GVNTs) were further defined as large GVs or RC signs in the GVs at the discretion of our endoscopist.
2.6. Statistical Analysis
All statistical analyses were performed using the SPSS software version 20.0 (IBM Corp, Armonk, NY, USA) and MedCalc software version 11.4.2.0 (MedCalc Software, Mariakerke, Belgium). Data were expressed as
3. Results
3.1. Patients
A total of 430 cirrhotic patients underwent both contrast-enhanced CT and endoscopic examinations. Finally, a total of 279 cirrhotic patients were included (Figure 1). Baseline characteristics are shown in Table 1. Results of kappa statistics were shown in Supplementary Table 1.
[figure omitted; refer to PDF]Table 1
Baseline characteristics of patients.
Variables | Primary prophylaxis population | Acute bleeding population | Previous bleeding population | Secondary prophylaxis population | ||||
---|---|---|---|---|---|---|---|---|
No. pts | No. pts | No. pts | No. pts | |||||
Age (years) | 70 | 38 | 67 | 104 | ||||
Sex (male) | 70 | 51 (72.9%) | 38 | 32 (84.2%) | 67 | 50 (74.6%) | 104 | 77 (74.0%) |
Etiology of liver diseases | ||||||||
HBV infection | 70 | 28 (40.0%) | 38 | 13 (34.2%) | 67 | 23 (34.3%) | 104 | 46 (44.2%) |
HCV infection | 70 | 4 (5.7%) | 38 | 2 (5.3%) | 67 | 9 (13.4%) | 104 | 9 (8.7%) |
Alcohol abuse | 70 | 30 (42.9%) | 38 | 17 (44.7%) | 67 | 29 (43.3%) | 104 | 37 (35.6%) |
Drug related | 70 | 8 (11.4%) | 38 | 3 (7.9%) | 67 | 8 (11.9%) | 104 | 7 (6.7%) |
Autoimmune related | 70 | 3 (4.3%) | 38 | 1 (2.6%) | 67 | 3 (4.5%) | 104 | 7 (6.7%) |
Ascites | 70 | 38 | 67 | 104 | ||||
No | 33 (47.1%) | 14 (36.8%) | 32 (47.8%) | 42 (40.4%) | ||||
Mild | 11 (15.7%) | 14 (36.8%) | 18 (26.9%) | 40 (38.5%) | ||||
Moderate-severe | 26 (37.1%) | 10 (26.3%) | 17 (25.4%) | 22 (21.2%) | ||||
Interval between prior endoscopic treatment and present admission (years) | 100a | |||||||
Interval between CT and endoscopy (days) | 70 | 38 | 67 | 104 | ||||
RBC (1012/L) | 70 | 38 | 67 | 104 | ||||
Hb (g/L) | 70 | 38 | 67 | 104 | ||||
WBC (109/L) | 70 | 38 | 67 | 104 | ||||
PLT (109/L) | 70 | 38 | 67 | 104 | ||||
TBIL (μmol/L) | 70 | 38 | 67 | 104 | ||||
DBIL (μmol/L) | 70 | 38 | 67 | 104 | ||||
ALB (g/L) | 69 | 38 | 67 | 103 | ||||
ALT (U/L) | 70 | 38 | 67 | 104 | ||||
AST (U/L) | 70 | 38 | 67 | 104 | ||||
AKP (U/L) | 70 | 38 | 67 | 104 | ||||
GGT (U/L) | 70 | 38 | 67 | 104 | ||||
BUN (mmol/L) | 70 | 38 | 67 | 103 | ||||
SCr (μmol/L) | 70 | 38 | 67 | 103 | ||||
PT (seconds) | 68 | 38 | 67 | 102 | ||||
APTT (seconds) | 68 | 38 | 67 | 102 | ||||
INR | 68 | 38 | 67 | 102 | ||||
Child-Pugh class | 67b | 38 | 67 | 102b | ||||
A | 20 (29.9%) | 11 (28.9%) | 38 (56.7%) | 54 (52.9%) | ||||
B | 32 (47.8%) | 21 (55.3%) | 23 (34.3%) | 47 (46.1%) | ||||
C | 15 (22.4%) | 6 (15.8%) | 6 (9.0%) | 1 (1.0%) | ||||
Child-Pugh score | 67b | 38 | 67 | 102b | ||||
MELD score | 68c | 38 | 67 | 102c | ||||
Spleen diameter (mm) | 68d | 37d | 60d | 81d | ||||
PSR | 68d | 37d | 60d | 81d | ||||
APRI score | 70 | 38 | 67 | 104 | ||||
AAR score | 70 | 38 | 67 | 104 | ||||
FIB-4 score | 70 | 38 | 67 | 104 | ||||
King score | 68c | 38 | 67 | 102c | ||||
Lok score | 68c | 38 | 67 | 102c | ||||
EVs | 70 | 38 | 67 | 104 | ||||
No | 27 (38.6%) | 3 (7.9%) | 6 (9.0%) | 10 (9.6%) | ||||
Yes | 43 (61.4%) | 35 (92.1%) | 61 (91.0%) | 94 (90.4%) | ||||
Unknown | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | ||||
EVNTs | 70 | 38 | 67 | 104 | ||||
No | 41 (58.6%) | 11 (28.9%) | 17 (25.4%) | 62 (59.6%) | ||||
Yes | 26 (37.1%) | 27 (71.1%) | 49 (73.1%) | 42 (40.4%) | ||||
Unknown | 3 (4.3%)e | 0 (0.0%) | 1 (1.5%)e | 0 (0.0%) | ||||
GVs | 70 | 38 | 67 | 104 | ||||
No | 51 (72.9%) | 19 (50.0%) | 18 (26.9%) | 68 (65.4%) | ||||
Yes | 18 (25.7%) | 19 (50.0%) | 49 (73.1%) | 36 (34.6%) | ||||
Unknown | 1 (1.4%)e | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | ||||
GVNTs | 70 | 38 | 67 | 104 | ||||
No | 60 (85.7%) | 23 (60.5%) | 31 (46.3%) | 88 (84.6%) | ||||
Yes | 8 (11.4%) | 15 (39.5%) | 36 (53.7%) | 16 (15.4%) | ||||
Unknown | 2 (2.9%)e | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) |
aThe specific date of previous endoscopic treatment could not be obtained in 4 patients. bChild-Pugh score could not be evaluated due to the absence of ALB or INR. cMELD, King, and Lok score could not be evaluated due to the absence of INR. dSpleen diameter and PSR were not available in patients with splenectomy. eEVNTs, GVs, and GVNTs could not be evaluated due to the absence of detailed endoscopic reports. SD: standard deviation; HBV: hepatitis B virus; HCV: hepatitis C virus; CT: computed tomography; RBC: red blood cell; Hb: hemoglobin; WBC: white blood cell; PLT: platelet; TBIL: total bilirubin; DBIL: direct bilirubin; ALB: albumin; ALT: alanine aminotransferase; AST: aspartate aminotransferase; AKP: alkaline phosphatase; GGT-γ: glutamyl transpeptidase; BUN: blood urea nitrogen; SCr: serum creatinine; PT: prothrombin time; APTT: activated partial thromboplastin time; INR: international normalized ratio; MELD: model for end-stage liver disease; PSR: PLT count to spleen diameter ratio; APRI: AST to PLT ratio index; AAR: AST to ALT ratio; FIB4: fibrosis 4 index; EVs: esophageal varices; EVNTs: esophageal varices needing treatment; GVs: gastric varices; GVNTs: gastric varices needing treatment.
3.2. Primary Prophylaxis Population
Seventy patients were included in this group. Prevalence of EVs, EVNTs, GVs, and GVNTs was 61.4% (43/70), 37.1% (26/70), 25.7% (18/70), and 11.4% (8/70), respectively. As for EVs, only contrast-enhanced CT, Lok score, and PSR had statistically significant diagnostic performance; as for EVNTs, only contrast-enhanced CT and PSR had statistically significant diagnostic performance; as for GVs, only contrast-enhanced CT, AAR score, Lok score, and PSR had statistically significant diagnostic performance; as for GVNTs, only contrast-enhanced CT had statistically significant diagnostic performance (Table 2).
Table 2
Diagnostic performance of alternative approaches.
Variables | Primary prophylaxis population | Acute bleeding population | Previous bleeding population | Secondary prophylaxis population | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
No. pts | AUC (95% CI) | No. pts | AUC (95% CI) | No. pts | AUC (95% CI) | No. pts | AUC (95% CI) | |||||
EVs | ||||||||||||
APRI score | 70 | 0.550 |
0.5207 | 38 | 0.876 |
<0.0001 | 67 | 0.523 |
0.8813 | 104 | 0.532 |
0.7526 |
AAR score | 70 | 0.550 |
0.5142 | 38 | 0.714 |
0.4083 | 67 | 0.672 |
0.2117 | 104 | 0.513 |
0.8961 |
FIB4 score | 70 | 0.632 |
0.0852 | 38 | 0.771 |
0.0314 | 67 | 0.538 |
0.8163 | 104 | 0.536 |
0.7489 |
King score | 68 | 0.586 |
0.2556 | 38 | 0.838 |
0.0002 | 67 | 0.500 |
1.0000 | 102 | 0.525 |
0.8078 |
Lok score | 68 | 0.654 |
0.0342 | 38 | 0.905 |
<0.0001 | 67 | 0.503 |
0.9863 | 102 | 0.593 |
0.4019 |
PSR |
68 | 0.755 |
0.0001 | 37 | 0.882 |
<0.0001 | 60 | 0.664 |
0.2587 | 81 | 0.633 |
0.2900 |
Contrast-enhanced CT | 70 | 0.680 |
0.0004 | 38 | 0.833 |
0.0455 | 67 | 0.833 |
0.0016 | 104 | 0.739 |
0.0042 |
EVNTs | ||||||||||||
APRI score | 67 | 0.490 |
0.8912 | 38 | 0.513 |
0.8984 | 66 | 0.551 |
0.5592 | 104 | 0.564 |
0.2649 |
AAR score | 67 | 0.475 |
0.7264 | 38 | 0.648 |
0.1905 | 66 | 0.547 |
0.5854 | 104 | 0.616 |
0.0344 |
FIB4 score | 67 | 0.542 |
0.5567 | 38 | 0.549 |
0.6382 | 66 | 0.500 |
1.0000 | 104 | 0.502 |
0.9786 |
King score | 65 | 0.516 |
0.8272 | 38 | 0.505 |
0.9608 | 66 | 0.571 |
0.4147 | 102 | 0.519 |
0.7456 |
Lok score | 65 | 0.557 |
0.4315 | 38 | 0.582 |
0.4786 | 66 | 0.570 |
0.4231 | 102 | 0.546 |
0.4251 |
PSR |
65 | 0.670 |
0.0126 | 37 | 0.738 |
0.0127 | 59 | 0.688 |
0.0185 | 81 | 0.595 |
0.1428 |
Contrast-enhanced CT | 67 | 0.876 |
<0.0001 | 38 | 0.816 |
0.0001 | 66 | 0.873 |
<0.0001 | 103 | 0.673 |
0.0012 |
GVs | ||||||||||||
APRI score | 69 | 0.541 |
0.5846 | 38 | 0.589 |
0.3527 | 67 | 0.588 |
0.2517 | 104 | 0.532 |
0.6022 |
AAR score | 69 | 0.709 |
0.0009 | 38 | 0.611 |
0.2412 | 67 | 0.549 |
0.5593 | 104 | 0.565 |
0.2948 |
FIB4 score | 69 | 0.636 |
0.0679 | 38 | 0.535 |
0.7206 | 67 | 0.621 |
0.1027 | 104 | 0.499 |
0.9867 |
King score | 67 | 0.546 |
0.5393 | 38 | 0.554 |
0.5756 | 67 | 0.618 |
0.1236 | 104 | 0.508 |
0.8952 |
Lok score | 67 | 0.672 |
0.0079 | 38 | 0.551 |
0.6018 | 67 | 0.499 |
0.9944 | 102 | 0.534 |
0.5642 |
PSR |
67 | 0.664 |
0.0236 | 37 | 0.614 |
0.2334 | 60 | 0.603 |
0.2093 | 81 | 0.510 |
0.8834 |
Contrast-enhanced CT | 68 | 0.721 |
0.0005 | 38 | 0.605 |
0.1797 | 67 | 0.671 |
0.0076 | 102 | 0.686 |
0.0001 |
GVNTs | ||||||||||||
APRI score | 68 | 0.583 |
0.4108 | 38 | 0.559 |
0.5561 | 67 | 0.575 |
0.3073 | 104 | 0.612 |
0.1463 |
AAR score | 68 | 0.648 |
0.0691 | 38 | 0.601 |
0.2862 | 67 | 0.637 |
0.0499 | 104 | 0.536 |
0.6585 |
FIB4 score | 68 | 0.598 |
0.3457 | 38 | 0.478 |
0.8230 | 67 | 0.614 |
0.1072 | 104 | 0.646 |
0.0480 |
King score | 66 | 0.558 |
0.5559 | 38 | 0.513 |
0.8954 | 67 | 0.616 |
0.1092 | 102 | 0.627 |
0.1144 |
Lok score | 66 | 0.626 |
0.1504 | 38 | 0.536 |
0.7158 | 67 | 0.497 |
0.9661 | 102 | 0.524 |
0.7894 |
PSR |
67 | 0.631 |
0.2201 | 37 | 0.615 |
0.2333 | 60 | 0.555 |
0.4711 | 81 | 0.579 |
0.4057 |
Contrast-enhanced CT | 64 | 0.731 |
0.0316 | 35 | 0.639 |
0.1502 | 64 | 0.602 |
0.1628 | 100 | 0.661 |
0.0259 |
The presence of EVs and diameter of EVs could be evaluated on CT in all of the 70 patients. The diameter of EVs measured on contrast-enhanced
[figures omitted; refer to PDF]
After a discussion among investigators, the presence of GVs could not be evaluated on CT in one patient and the diameter of GVs could not be measured on CT in 3 patients. The diameter of GVs measured on contrast-enhanced
3.3. Acute Bleeding Population
Thirty-eight patients were included in this group. Prevalence of EVs, EVNTs, GVs, and GVNTs was 92.1% (35/38), 71.1% (27/38), 50.0% (19/38), and 39.5% (15/38), respectively. As for EVs, contrast-enhanced CT, APRI score, FIB-4 score, King score, Lok score, and PSR had statistically significant diagnostic performance; as for EVNTs, only contrast-enhanced CT and PSR had statistically significant diagnostic performance; as for GVs and GVNTs, all alternatives did not have any statistically significant diagnostic performance (Table 2).
The presence of EVs and diameter of EVs could be evaluated on CT in all of the 38 patients. The diameter of EVs measured on contrast-enhanced
After a discussion among investigators, the diameter of GVs could not be measured on CT in 3 patients. The diameter of GVs measured on contrast-enhanced
3.4. Previous Bleeding Population
Sixty-seven patients were included in this group. Prevalence of EVs, EVNTs, GVs, and GVNTs was 91.0% (61/67), 73.1% (49/67), 73.1% (49/67), and 53.7% (36/67), respectively. As for EVs, only contrast-enhanced CT had statistically significant diagnostic performance; as for EVNTs, only contrast-enhanced CT and PSR had statistically significant diagnostic performance; as for GVs, only contrast-enhanced CT had statistically significant diagnostic performance; as for GVNTs, only AAR score had statistically significant diagnostic performance (Table 2).
The presence of EVs and diameter of EVs could be evaluated on CT in all of the 67 patients. The diameter of EVs measured on contrast-enhanced
After a discussion among investigators, the diameter of GVs could not be measured on CT in 3 patients (3/67). The diameter of GVs measured on contrast-enhanced
3.5. Secondary Prophylaxis Population
One hundred and four patients were included in this group. Prevalence of EVs, EVNTs, GVs, and GVNTs was 90.4% (94/104), 40.4% (42/104), 34.6% (36/104), and 15.4% (16/104), respectively.
As for EVs, only contrast-enhanced CT had statistically significant diagnostic performance; as for EVNTs, only contrast-enhanced CT and AAR score had statistically significant diagnostic performance; as for GVs, only contrast-enhanced CT had statistically significant diagnostic performance; as for GVNTs, only contrast-enhanced CT and FIB-4 score had statistically significant diagnostic performance (Table 2).
After a discussion among investigators, the diameter of EVs could not be measured on CT in one patient. The diameter of EVs measured on contrast-enhanced
After a discussion among investigators, the presence of GVs could not be evaluated on CT in 2 patients and the diameter of GVs could not be measured on CT in 2 patients. The diameter of GVs measured on contrast-enhanced
4. Discussion
Currently, noninvasive diagnosis of GEVs is a hot topic. Severity of liver fibrosis is often in parallel with that of portal hypertension in compensated cirrhosis. Thus, the markers reflecting the severity of liver fibrosis are frequently used for noninvasive assessment of portal hypertension in such patients [10, 31]. Considering that liver stiffness measured by transient elastography can stage liver fibrosis and PLT indicates portal hypertension, Baveno VI consensus has recommended that
Our previous meta-analysis demonstrated that APRI, AAR, FIB-4, and Lok scores had low to moderate diagnostic accuracy in predicting the presence of EVs and EVNTs in liver cirrhosis, and their AUCs were 0.6774-0.7885 and 0.7095-0.7448, respectively [12]. Notably, among the studies included in the meta-analysis, most of patients had well-preserved liver function. By comparison, our previous observational study where a majority of patients were decompensated demonstrated that APRI, AAR, FIB-4, and Lok scores had low accuracy for EVs and EVNTs with AUCs of 0.539-0.567 and 0.506-0.544, respectively [13]. Similarly, our present observational study also confirmed that these blood tests were insufficient to replace endoscopy in diagnosing EVs, EVNTs, GVs, and GVNTs in advanced decompensated patients.
PSR had relatively high diagnostic accuracy in predicting the presence of EVs in compensated cirrhotic patients and its AUC was 0.85 [18]. The advantages of PSR as a potential diagnostic alternative for EVs can be explained by the fact that splenomegaly and hypersplenism are common clinical manifestations of portal hypertension, and the PSR model associates decreased PLT with splenomegaly [27, 45]. By contrast, our present study suggested that PSR was unsatisfactory for prediction of GEVs. This might be related to the characteristics of our patients that a majority of patients in primary prophylaxis population group had Child-Pugh class B or C and all patients in 3 other groups (i.e., secondary prophylaxis population, acute bleeding population, and previous bleeding population) were decompensated with recent or previous bleeding. This was in consistency with the results of a previous study which also included patients receiving secondary prophylaxis and achieved only an AUC of 0.715 [46].
Our previous meta-analysis demonstrated that contrast-enhanced CT had high diagnostic accuracy in predicting the presence of EVs, EVNTs, and GVs, and their AUCs were 0.8958, 0.9461, and 0.9127, respectively [14]. Similarly, another meta-analysis also confirmed that the AUCs were 0.86 and 0.95 in predicting the presence of EVs and GVs, respectively [15]. By comparison, our present study confirmed such high diagnostic accuracy of contrast-enhanced CT in predicting EVs and EVNTs and further suggested that no EVNTs would be missed according to the optimal cutoff value. However, the diagnostic performance of contrast-enhanced CT was insufficient in secondary prophylaxis population.
Several pitfalls of contrast-enhanced CT scans for assessment of GEVs should be recognized. First, esophageal wall may form scars and stiffen after repeated endoscopic treatments, in which enhanced vascular shadows do not obviously protrude into esophageal lumen on contrast-enhanced CT images (Figure 3(a)). Second, during the endoscopic examinations, small EVs may be flattened after dilating esophageal lumen, thereby leading to a missed diagnosis (Figure 3(b)). Third, the images obtained at the portal vein phases of contrast-enhanced CT scans are inappropriately selected by radiological technicians, in which esophageal venous vessels cannot be obviously enhanced. Fourth, abdominal CT scans are selected for our present study, in which the lesions at middle and upper esophagus cannot be observed. Fifth, contrast-enhanced CT scans can detect GVs located deeply in gastric mucosa [29], which are hard to be distinguished from gastric mucosal folds by endoscopy. Sixth, when the gastric cavity is not fully expanded, small GVs do not protrude from the surface and cannot be differentiated from the gastric mucosa folds on CT images (Figure 3(c)). Seventh, some GVs appear as irregular vascular shadows on contrast-enhanced CT images, thereby misjudging the maximum diameter of varices (Figure 3(d)).
[figures omitted; refer to PDF]
Several other advantages of contrast-enhanced CT scans should not be ignored, because it can simultaneously evaluate the severity of liver cirrhosis and its related complications, such as grade or quantification of ascites [47], thrombosis within portal vein system [48], portosystemic collaterals [49], and liver cancer [50], except for GEVs. On the other hand, the disadvantages of contrast-enhanced CT scans include the following. First, the risk of radiation will be increased. Second, contrast-enhanced CT is not applicable to patients with renal failure, hyperthyroidism, and hypersensitivity to contrast media. Third, RC sign is valuable for evaluating the severity of GEVs, but it cannot be observed on contrast-enhanced CT images.
Our study had several limitations. First, Western studies evaluated EVNTs by the size of EVs under endoscopy, and our study employed the Chinese guideline to identify EVNTs. Second, our patients were more severe and had a high prevalence of EVNTs. Because the prevalence of EVNTs should be inversely associated with the rate of spared endoscopy, the rate of sparing more endoscopy was relatively lower in our study (Figure 4). Third, the present study was of the retrospective nature and performed at a single center. Fourth, the sample size was small in different study population, especially in acute bleeding population.
[figure omitted; refer to PDF]In conclusion, contrast-enhanced CT seemed to have higher diagnostic accuracy for EVs and EVNTs in cirrhotic patients as compared to APRI, AAR, FIB-4, FI, Lok, and King scores and PSR. Among the secondary prophylaxis population requiring repeated endoscopic surveillance, contrast-enhanced CT seemed to be the only useful diagnostic alternative for GEVs in cirrhotic patients. However, the potential pitfalls of contrast-enhanced CT, such as stiff and scarred esophagus, small or irregular vascular shadows, and technical errors, can decrease its diagnostic accuracy in secondary prophylaxis population.
Disclosure
Qianqian Li and Ran Wang are co-first authors.
Authors’ Contributions
Qianqian Li reviewed and searched the literature, wrote the protocol, collected the data, performed the statistical analysis and quality assessment, interpreted the data, and drafted the manuscript. Ran Wang searched the literature, wrote the protocol, collected the data, and performed the statistical analysis and quality assessment. Xiaozhong Guo checked the data and gave critical comments. Hongyu Li checked the data and gave critical comments. Xiaodong Shao checked the data and gave critical comments. Kexin Zheng collected the data. Xiaolong Qi gave critical comments. Yingying Li collected the data. Xingshun Qi conceived the work, reviewed and searched the literature, wrote the protocol, performed the statistical analysis, interpreted the data, and revised the manuscript. All authors have made an intellectual contribution to the manuscript and approved the submission.
Glossary
Abbreviations
GEVs:Gastroesophageal varices
EVL:Endoscopic variceal ligation
AST:Aspartate aminotransferase
PLT:Platelet
APRI:Aspartate aminotransferase to platelet ratio index
ALT:Alanine aminotransferase
AAR:Aspartate aminotransferase to alanine aminotransferase ratio
FIB-4:Fibrosis 4 index
CT:Computed tomography
PSR:Platelet count to spleen diameter ratio
EVs:Esophageal varices
GVs:Gastric varices
AUGIB:Acute upper gastrointestinal bleeding
RBC:Red blood cell
Hb:Hemoglobin
WBC:White blood cell
TBIL:Total bilirubin
DBIL:Direct bilirubin
ALB:Albumin
AKP:Alkaline phosphatase
GGT-γ:γ-glutamine transferase
BUN:Blood urea nitrogen
SCr:Serum creatinine
PT:Prothrombin time
APTT:Activated partial thromboplastin time
INR:International normalized ratio
MELD:Model for end-stage of liver disease
RC:Red color
EVNTs:Esophageal varices needing treatment
GVNTs:Gastric varices needing treatment
ROC:Receiver operating characteristic
AUC:Area under the curve
NPV:Negative predictive value.
[1] E. A. Tsochatzis, J. Bosch, A. K. Burroughs, "Liver cirrhosis," The Lancet, vol. 383 no. 9930, pp. 1749-1761, DOI: 10.1016/S0140-6736(14)60121-5, 2014.
[2] A. J. Sanyal, J. Bosch, A. Blei, V. Arroyo, "Portal hypertension and its complications," Gastroenterology, vol. 134 no. 6, pp. 1715-1728, DOI: 10.1053/j.gastro.2008.03.007, 2008.
[3] G. Garcia-Tsao, J. G. Abraldes, A. Berzigotti, J. Bosch, "Portal hypertensive bleeding in cirrhosis: risk stratification, diagnosis, and management: 2016 practice guidance by the American Association for the Study of Liver Diseases," Hepatology, vol. 65 no. 1, pp. 310-335, DOI: 10.1002/hep.28906, 2017.
[4] R. de Franchis, V. I. F. Baveno, "Expanding consensus in portal hypertension: report of the Baveno VI consensus workshop: stratifying risk and individualizing care for portal hypertension," Journal of Hepatology, vol. 63 no. 3, pp. 743-752, DOI: 10.1016/j.jhep.2015.05.022, 2015.
[5] G. Garcia-Tsao, A. J. Sanyal, N. D. Grace, W. D. Carey, the Practice Guidelines Committee of the American Association for the Study of Liver Diseases and the Practice Parameters Committee of the American College of Gastroenterology, "Prevention and management of gastroesophageal varices and variceal hemorrhage in cirrhosis," The American Journal of Gastroenterology, vol. 102 no. 9, pp. 2086-2102, DOI: 10.1111/j.1572-0241.2007.01481.x, 2007.
[6] M. Lahbabi, I. Mellouki, N. Aqodad, M. Elabkari, M. Elyousfi, S. A. Ibrahimi, D. A. Benajah, "Esophageal variceal ligation in the secondary prevention of variceal bleeding: result of long term follow-up," The Pan African Medical Journal, vol. 15,DOI: 10.11604/pamj.2013.15.3.2098, 2013.
[7] L. Masalaite, J. Valantinas, J. Stanaitis, "Endoscopic ultrasound findings predict the recurrence of esophageal varices after endoscopic band ligation: a prospective cohort study," Scandinavian Journal of Gastroenterology, vol. 50 no. 11, pp. 1322-1330, DOI: 10.3109/00365521.2015.1043640, 2015.
[8] J. Bosch, J. C. García-Pagán, "Prevention of variceal rebleeding," The Lancet, vol. 361 no. 9361, pp. 952-954, DOI: 10.1016/S0140-6736(03)12778-X, 2003.
[9] R. de Franchis, A. Dell’Era, "Invasive and noninvasive methods to diagnose portal hypertension and esophageal varices," Clinics in Liver Disease, vol. 18 no. 2, pp. 293-302, DOI: 10.1016/j.cld.2013.12.002, 2014.
[10] D. Thabut, R. Moreau, D. Lebrec, "Noninvasive assessment of portal hypertension in patients with cirrhosis," Hepatology, vol. 53 no. 2, pp. 683-694, DOI: 10.1002/hep.24129, 2011.
[11] E. Pateu, F. Oberti, P. Cales, "The noninvasive diagnosis of esophageal varices and its application in clinical practice," Clinics and Research in Hepatology and Gastroenterology, vol. 42 no. 1,DOI: 10.1016/j.clinre.2017.07.006, 2018.
[12] H. Deng, X. Qi, X. Guo, "Diagnostic accuracy of APRI, AAR, FIB-4, FI, King, Lok, Forns, and FibroIndex scores in predicting the presence of esophageal varices in liver cirrhosis: a systematic review and meta-analysis," Medicine, vol. 94 no. 42,DOI: 10.1097/MD.0000000000001795, 2015.
[13] H. Deng, X. Qi, Y. Peng, J. Li, H. Li, Y. Zhang, X. Liu, X. Sun, X. Guo, "Diagnostic accuracy of APRI, AAR, FIB-4, FI, and King scores for diagnosis of esophageal varices in liver cirrhosis: a retrospective study," Medical Science Monitor, vol. 21, pp. 3961-3977, DOI: 10.12659/MSM.895005, 2015.
[14] H. Deng, X. Qi, X. Guo, "Computed tomography for the diagnosis of varices in liver cirrhosis: a systematic review and meta-analysis of observational studies," Postgraduate Medicine, vol. 129 no. 3, pp. 318-328, DOI: 10.1080/00325481.2017.1241664, 2017.
[15] Y. J. Tseng, X. Q. Zeng, J. Chen, N. Li, P. J. Xu, S. Y. Chen, "Computed tomography in evaluating gastroesophageal varices in patients with portal hypertension: a meta-analysis," Digestive and Liver Disease, vol. 48 no. 7, pp. 695-702, DOI: 10.1016/j.dld.2016.02.007, 2016.
[16] M. J. Lipp, A. Broder, D. Hudesman, P. Suwandhi, S. A. Okon, M. Horowitz, D. J. Clain, P. Friedmann, A. D. Min, "Detection of esophageal varices using CT and MRI," Digestive Diseases and Sciences, vol. 56 no. 9, pp. 2696-2700, DOI: 10.1007/s10620-011-1660-8, 2011.
[17] H. Deng, X. Qi, Y. Zhang, Y. Peng, J. Li, X. Guo, "Diagnostic accuracy of contrast-enhanced computed tomography for esophageal varices in liver cirrhosis: a retrospective observational study," Journal of Evidence-Based Medicine, vol. 10 no. 1, pp. 46-52, DOI: 10.1111/jebm.12226, 2017.
[18] S. S. Sami, D. Harman, K. Ragunath, D. Bohning, J. Parkes, I. N. Guha, "Non-invasive tests for the detection of oesophageal varices in compensated cirrhosis: systematic review and meta-analysis," United European Gastroenterology Journal, vol. 6 no. 6, pp. 806-818, DOI: 10.1177/2050640618767604, 2018.
[19] R. E. Perri, M. V. Chiorean, J. L. Fidler, J. G. Fletcher, J. A. Talwalkar, L. Stadheim, N. D. Shah, P. S. Kamath, "A prospective evaluation of computerized tomographic (CT) scanning as a screening modality for esophageal varices," Hepatology, vol. 47 no. 5, pp. 1587-1594, DOI: 10.1002/hep.22219, 2008.
[20] R. N. H. Pugh, I. M. Murray-Lyon, J. L. Dawson, M. C. Pietroni, R. Williams, "Transection of the oesophagus for bleeding oesophageal varices," The British Journal of Surgery, vol. 60 no. 8, pp. 646-649, DOI: 10.1002/bjs.1800600817, 1973.
[21] P. S. Kamath, W. R. Kim, "The model for end-stage liver disease (MELD)," Hepatology, vol. 45 no. 3, pp. 797-805, DOI: 10.1002/hep.21563, 2007.
[22] C. T. Wai, J. K. Greenson, R. J. Fontana, J. D. Kalbfleisch, J. A. Marrero, H. S. Conjeevaram, A. S. Lok, "A simple noninvasive index can predict both significant fibrosis and cirrhosis in patients with chronic hepatitis C," Hepatology, vol. 38 no. 2, pp. 518-526, DOI: 10.1053/jhep.2003.50346, 2003.
[23] E. Giannini, D. Risso, F. Botta, B. Chiarbonello, A. Fasoli, F. Malfatti, P. Romagnoli, E. Testa, P. Ceppa, R. Testa, "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," Archives of Internal Medicine, vol. 163 no. 2, pp. 218-224, DOI: 10.1001/archinte.163.2.218, 2003.
[24] R. K. Sterling, E. Lissen, N. Clumeck, R. Sola, M. C. Correa, J. Montaner, M. S. Sulkowski, F. J. Torriani, D. T. Dieterich, D. L. Thomas, D. Messinger, M. Nelson, APRICOT Clinical Investigators, "Development of a simple noninvasive index to predict significant fibrosis in patients with HIV/HCV coinfection," Hepatology, vol. 43 no. 6, pp. 1317-1325, DOI: 10.1002/hep.21178, 2006.
[25] A. S. F. Lok, M. G. Ghany, Z. D. Goodman, E. C. Wright, G. T. Everson, R. K. Sterling, J. E. Everhart, K. L. Lindsay, H. L. Bonkovsky, A. M. di Bisceglie, W. M. Lee, T. R. Morgan, J. L. Dienstag, C. Morishima, HALT-C Trial Group, "Predicting cirrhosis in patients with hepatitis C based on standard laboratory tests: results of the HALT-C cohort," Hepatology, vol. 42 no. 2, pp. 282-292, DOI: 10.1002/hep.20772, 2005.
[26] T. J. S. Cross, P. Rizzi, P. A. Berry, M. Bruce, B. Portmann, P. M. Harrison, "King’s score: an accurate marker of cirrhosis in chronic hepatitis C," European Journal of Gastroenterology & Hepatology, vol. 21 no. 7, pp. 730-738, DOI: 10.1097/MEG.0b013e32830dfcb3, 2009.
[27] E. Giannini, F. Botta, P. Borro, D. Risso, P. Romagnoli, A. Fasoli, M. R. Mele, E. Testa, C. Mansi, V. Savarino, R. Testa, "Platelet count/spleen diameter ratio: proposal and validation of a non-invasive parameter to predict the presence of oesophageal varices in patients with liver cirrhosis," Gut, vol. 52 no. 8, pp. 1200-1205, DOI: 10.1136/gut.52.8.1200, 2003.
[28] Y. J. Kim, S. S. Raman, N. C. Yu, K. J. To'o, R. Jutabha, D. S. K. Lu, "Esophageal varices in cirrhotic patients: evaluation with liver CT," AJR. American Journal of Roentgenology, vol. 188 no. 1, pp. 139-144, DOI: 10.2214/AJR.05.1737, 2007.
[29] J. K. Willmann, D. Weishaupt, T. Böhm, T. Pfammatter, B. Seifert, B. Marincek, P. Bauerfeind, "Detection of submucosal gastric fundal varices with multi-detector row CT angiography," Gut, vol. 52 no. 6, pp. 886-892, DOI: 10.1136/gut.52.6.886, 2003.
[30] Chinese Society of Gastroenterology CSoH, Chinese Society of Endoscopy CMA, "Consensus on prevention and treatment for gastroesophageal varices and variceal hemorrhage in liver cirrhosis," Chinese Journal of Digestive Diseases, vol. 28, pp. 551-558, 2008.
[31] X. Qi, H. Li, J. Chen, C. Xia, Y. Peng, J. Dai, Y. Hou, H. Deng, J. Li, X. Guo, "Serum liver fibrosis markers for predicting the presence of gastroesophageal varices in liver cirrhosis: a retrospective cross-sectional study," Gastroenterology Research and Practice, vol. 2015,DOI: 10.1155/2015/274534, 2015.
[32] A. Marot, E. Trepo, C. Doerig, A. Schoepfer, C. Moreno, P. Deltenre, "Liver stiffness and platelet count for identifying patients with compensated liver disease at low risk of variceal bleeding," Liver International, vol. 37 no. 5, pp. 707-716, DOI: 10.1111/liv.13318, 2017.
[33] P. Jangouk, L. Turco, A. De Oliveira, F. Schepis, E. Villa, G. Garcia-Tsao, "Validating, deconstructing and refining Baveno criteria for ruling out high-risk varices in patients with compensated cirrhosis," Liver International, vol. 37 no. 8, pp. 1177-1183, DOI: 10.1111/liv.13379, 2017.
[34] J. B. Maurice, E. Brodkin, F. Arnold, A. Navaratnam, H. Paine, S. Khawar, A. Dhar, D. Patch, J. O’Beirne, R. Mookerjee, M. Pinzani, E. Tsochatzis, R. H. Westbrook, "Validation of the Baveno VI criteria to identify low risk cirrhotic patients not requiring endoscopic surveillance for varices," Journal of Hepatology, vol. 65 no. 5, pp. 899-905, DOI: 10.1016/j.jhep.2016.06.021, 2016.
[35] S. Augustin, M. Pons, J. B. Maurice, C. Bureau, H. Stefanescu, M. Ney, H. Blasco, B. Procopet, E. Tsochatzis, R. H. Westbrook, J. Bosch, A. Berzigotti, J. G. Abraldes, J. Genescà, "Expanding the Baveno VI criteria for the screening of varices in patients with compensated advanced chronic liver disease," Hepatology, vol. 66 no. 6, pp. 1980-1988, DOI: 10.1002/hep.29363, 2017.
[36] M. J. Silva, C. Bernardes, J. Pinto, R. Loureiro, P. Duarte, M. Mendes, F. Calinas, "Baveno VI recommendation on avoidance of screening endoscopy in cirrhotic patients: are we there yet?," GE Portuguese Journal of Gastroenterology, vol. 24 no. 2, pp. 79-83, DOI: 10.1159/000452693, 2017.
[37] J. Bae, D. H. Sinn, W. Kang, G. Y. Gwak, M. S. Choi, Y. H. Paik, J. H. Lee, K. C. Koh, S. W. Paik, "Validation of the Baveno VI and the expanded Baveno VI criteria to identify patients who could avoid screening endoscopy," Liver International, vol. 38 no. 8, pp. 1442-1448, DOI: 10.1111/liv.13732, 2018.
[38] M. Bellan, P. P. Sainaghi, M. T. Minh, R. Minisini, L. Molinari, M. Baldrighi, L. Salmi, M. N. Barbaglia, L. M. Castello, P. Ravanini, G. C. Avanzi, M. Pirisi, "Gas6 as a predictor of esophageal varices in patients affected by hepatitis C virus related-chronic liver disease," Biomarkers in Medicine, vol. 12 no. 1, pp. 27-34, DOI: 10.2217/bmm-2017-0171, 2018.
[39] P. Calès, S. Sacher-Huvelin, D. Valla, C. Bureau, A. Olivier, F. Oberti, J. Boursier, J. P. Galmiche, multicenter group VO-VCO, "Large oesophageal varice screening by a sequential algorithm using a cirrhosis blood test and optionally capsule endoscopy," Liver International, vol. 38 no. 1, pp. 84-93, DOI: 10.1111/liv.13497, 2018.
[40] A. Colecchia, F. Ravaioli, G. Marasco, A. Colli, E. Dajti, A. R. di Biase, M. L. Bacchi Reggiani, A. Berzigotti, M. Pinzani, D. Festi, "A combined model based on spleen stiffness measurement and Baveno VI criteria to rule out high-risk varices in advanced chronic liver disease," Journal of Hepatology, vol. 69 no. 2, pp. 308-317, DOI: 10.1016/j.jhep.2018.04.023, 2018.
[41] N. Matsui, K. Imajo, M. Yoneda, T. Kessoku, Y. Honda, Y. Ogawa, W. Tomeno, N. Fujisawa, T. Misumi, K. Kazumi, S. Saito, A. Nakajima, "Magnetic resonance elastography increases usefulness and safety of non-invasive screening for esophageal varices," Journal of Gastroenterology and Hepatology, vol. 33 no. 12, pp. 2022-2028, DOI: 10.1111/jgh.14298, 2018.
[42] C. Moctezuma-Velazquez, F. Saffioti, S. Tasayco-Huaman, S. Casu, A. Mason, D. Roccarina, V. Vargas, J. E. Nilsson, E. Tsochatzis, S. Augustin, A. J. Montano-Loza, A. Berzigotti, D. Thorburn, J. Genesca, J. G. Abraldes, "Non-invasive prediction of high-risk varices in patients with primary biliary cholangitis and primary sclerosing cholangitis," The American Journal of Gastroenterology, vol. 114 no. 3, pp. 446-452, DOI: 10.1038/s41395-018-0265-7, 2019.
[43] S. Petta, G. Sebastiani, E. Bugianesi, M. Viganò, V. W. S. Wong, A. Berzigotti, A. L. Fracanzani, Q. M. Anstee, F. Marra, M. Barbara, V. Calvaruso, C. Cammà, V. di Marco, A. Craxì, V. de Ledinghen, "Non-invasive prediction of esophageal varices by stiffness and platelet in non-alcoholic fatty liver disease cirrhosis," Journal of Hepatology, vol. 69 no. 4, pp. 878-885, DOI: 10.1016/j.jhep.2018.05.019, 2018.
[44] Vienna Hepatic Hemodynamic Lab, T. Reiberger, A. Ferlitsch, B. A. Payer, M. Pinter, M. Homoncik, M. Peck-Radosavljevic, "Non-selective β -blockers improve the correlation of liver stiffness and portal pressure in advanced cirrhosis," Journal of Gastroenterology, vol. 47 no. 5, pp. 561-568, DOI: 10.1007/s00535-011-0517-4, 2012.
[45] A. Berzigotti, P. Zappoli, D. Magalotti, C. Tiani, V. Rossi, M. Zoli, "Spleen enlargement on follow-up evaluation: a noninvasive predictor of complications of portal hypertension in cirrhosis," Clinical Gastroenterology and Hepatology, vol. 6 no. 10, pp. 1129-1134, DOI: 10.1016/j.cgh.2008.05.004, 2008.
[46] H. Stefanescu, C. Radu, B. Procopet, M. Lupsor-Platon, A. Habic, M. Tantau, M. Grigorescu, "Non-invasive ménage à trois for the prediction of high-risk varices: stepwise algorithm using lok score, liver and spleen stiffness," Liver International, vol. 35 no. 2, pp. 317-325, DOI: 10.1111/liv.12687, 2015.
[47] R. Wang, X. Qi, X. Guo, "Quantification of ascites based on abdomino-pelvic computed tomography scans for predicting the in-hospital mortality of liver cirrhosis," Experimental and Therapeutic Medicine, vol. 14 no. 6, pp. 5733-5742, DOI: 10.3892/etm.2017.5321, 2017.
[48] X. Qi, G. Han, C. He, Z. Yin, W. Guo, J. Niu, D. Fan, "CT features of non-malignant portal vein thrombosis: a pictorial review," Clinics and Research in Hepatology and Gastroenterology, vol. 36 no. 6, pp. 561-568, DOI: 10.1016/j.clinre.2012.05.021, 2012.
[49] X. Qi, X. Qi, Y. Zhang, X. Shao, C. Wu, Y. Wang, R. Wang, X. Zhang, H. Deng, F. Hou, J. Li, X. Guo, "Prevalence and clinical characteristics of spontaneous splenorenal shunt in liver cirrhosis: a retrospective observational study based on contrast-enhanced computed tomography (CT) and magnetic resonance imaging (MRI) scans," Medical Science Monitor, vol. 23, pp. 2527-2534, DOI: 10.12659/MSM.901656, 2017.
[50] K. M. Elsayes, J. C. Hooker, M. M. Agrons, A. Z. Kielar, A. Tang, K. J. Fowler, V. Chernyak, M. R. Bashir, Y. Kono, R. K. Do, D. G. Mitchell, A. Kamaya, E. M. Hecht, C. B. Sirlin, "2017 version of LI-RADS for CT and MR imaging: an update," Radiographics, vol. 37 no. 7, pp. 1994-2017, DOI: 10.1148/rg.2017170098, 2017.
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Abstract
Background and Aims. Liver fibrosis blood tests, platelet count/spleen diameter ratio (PSR), and contrast-enhanced CT are diagnostic alternatives for gastroesophageal varices, but they have heterogeneous diagnostic performance among different study populations. Our study is aimed at evaluating their diagnostic accuracy for esophageal varices (EVs) and gastric varices (GVs) in cirrhotic patients with and without previous endoscopic variceal therapy. Methods. Patients with liver cirrhosis who underwent blood tests and contrast-enhanced CT scans as well as endoscopic surveillance should be potentially eligible. EVs needing treatment (EVNTs) and GVs needing treatment (GVNTs) were recorded according to the endoscopic results. Area under the curves (AUCs) were calculated. Results. Overall, 279 patients were included. In 175 patients without previous endoscopic variceal therapy, including primary prophylaxis population (
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1 Department of Gastroenterology, General Hospital of Northern Theater Command, Shenyang 110840, China; Postgraduate College, Dalian Medical University, Dalian 116044, China
2 Department of Gastroenterology, General Hospital of Northern Theater Command, Shenyang 110840, China
3 Department of Gastroenterology, General Hospital of Northern Theater Command, Shenyang 110840, China; Postgraduate College, Jinzhou Medical University, Jinzhou 121001, China
4 CHESS Group, Hepatic Hemodynamic Lab, Institute of Hepatology, Nanfang Hospital, Southern Medical University, Guangzhou, China
5 Department of Gastroenterology, General Hospital of Northern Theater Command, Shenyang 110840, China; CHESS Group, Hepatic Hemodynamic Lab, Institute of Hepatology, Nanfang Hospital, Southern Medical University, Guangzhou, China