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. 2021 Feb 12;100(6):e24602. doi: 10.1097/MD.0000000000024602

The diagnostic performance of gadoxetic acid disodium-enhanced magnetic resonance imaging and contrast-enhanced ultrasound in detecting hepatocellular carcinoma

A meta-analysis

Jiming Wang 1, Xiaofei Ye 1, Jiangfa Li 1,, Songqing He 1,
Editor: Giovanni Tarantino1
PMCID: PMC7886422  PMID: 33578564

Abstract

The purpose of this study was to identify and compare the diagnostic performance of gadolinium-ethoxybenzyl-diethyltriethylenetriacetic acid (Gd-EOB-DTPA) enhanced magnetic resonance imaging (MRI) and contrast-enhanced ultrasound (CEUS) in hepatocellular carcinoma (HCC).

Two researchers searched PubMed, EMBASE, and Cochrane Library databases from the inception of each database to 10 February 2020, to find comparative studies of Gd-EOB-DTPA-MRI and CEUS in detection of HCC.

The study included eight studies (374 patients). MRI is superior to CEUS in diagnostic sensitivity of HCC, P = .03. The diagnostic sensitivity of MRI in lesions with a diameter of less than 30 mm was significantly higher than that of CEUS, P = .04. MRI and CEUS had no significant difference in diagnostic specificity of HCC, P = .95. Summary Receiver Operating Characteristics (SROC) of MRI showed a larger than that of CEUS, but with P > .05.

Gd-EOB-DTPA-MRI showed higher sensitivity than CEUS for hepatocellular carcinoma lesions, especially for lesions of less than 30 mm across.

Keywords: gadoxetic acid disodium, hepatocellular carcinoma, magnetic resonance imaging, meta-analysis, ultrasonography

1. Introduction

Liver cancer is the third leading cause of death in the world and the fifth leading cause of death in China.[1] The liver is the first metastatic site of most malignant tumors.[2] Hepatocellular carcinoma (HCC) is a malignant tumor that can be diagnosed through imaging examination without biopsy.[3] Gd-EOB-DTPA-magnetic resonance imaging (MRI), which is recommended by the American Society for the Study of Liver Diseases as a first-line detection method for diagnosis of hepatocellular carcinoma,[3] offers good performance in detection and qualitative analysis of focal liver lesions.[46]

Contrast-enhanced ultrasound (CEUS) is a useful method for assessing focal liver lesions based on hemodynamic changes. CEUS provides good performance in detection and qualitative analysis of focal liver lesions.[7] Studies have shown that CEUS has a high diagnostic performance to arterial hypervascularity of HCC,[8] and the specificity of CEUS for nodules with hypervascular lesions for HCC is higher than that reported in computed tomography (CT) or MRI studies, especially for small (< 20 mm) HCC.[9] CEUS is inherently more sensitive to microbubbles than CT or MRI is to iodization or gadolinium contrast agent.[10] In 2018, the European Association for the Study of the Liver (EASL) and the Korean Association for Liver Cancer and the Korean National Cancer Center (KLCA-NCC) updated their guidelines to this effect. Hepatobiliary contrast-agent-enhanced MRI is now included as a first-line diagnostic method in these new guidelines, while CEUS is also included as a second-line diagnostic method in KLCA-NCC and EASL guidelines. Therefore, hepatobiliary contrast agents enhanced MRI and CEUS will be increasingly used in the non-invasive diagnosis and staging of liver cancer.[11]

Preoperative identification of the presence and absence of metastatic lesions in the liver of patients with liver cancer and the determination of the number of metastatic lesions are significantly related to the determination of the Barcelona Clinic Liver Cancer (BCLC) staging of patients with liver cancer in the formulation of surgical procedures and the prognosis of patients.[2,12] Many studies have suggested that Gd-EOB-DTPA-MRI can detect small liver lesions which may not be able to be found by CEUS, however, some have reported that CEUS is no worse than Gd-EOB-MRI in the diagnosis of HCC.[810] We hope to explore the performance of Gd-EOB-DTPA-MRI and CEUS in HCC diagnosis through this study.

2. Materials and methods

2.1. Literature search

JW and XY undertook a literature search on three databases to find relevant articles which were published before 10 February 2020. The databases included EMBASE, PubMed, and the Cochrane library. The search strategy and query criteria on PUBMED, one of the databases, are shown in Table 1. Institutional Review Board approval was not needed because it is a meta-analysis.

Table 1.

Literature search strategy in PUBMED.

Step no. Query
#1 “Ultrasonography”[Mesh]
#2 “contrast-enhanced ultrasonography” OR “contrast-enhanced ultrasound” OR “enhanced ultrasound” OR “ultrasound contrast” OR “ultrasonic contrast” OR CEUS
#3 “Magnetic Resonance Imaging”[Mesh]
#4 “Magnetic Resonance” OR MR
#5 “Carcinoma, Hepatocellular”[Mesh]
#6 ”hepatocellular carcinoma“ OR HCC
#7 “Gadolinium DTPA”[Mesh]
#8 Gd-EOB-DTPA OR “gadoxetate disodium” OR “gadoxetic acid”
#9 #1 OR #2
#10 #3 OR #4
#11 #5 OR #6
#12 #7 OR #8
#13 #9 AND #10 AND #11 AND #12

This table provides details on how the literature was searched in various databases.

Medical subject headings.

2.2. Study selection

The two researchers independently reviewed the titles and abstracts of all the articles and the full text of some of them to determine whether, or not, they met the inclusion criteria. Where there are differences, they shall be reconciled by consensus. If agreement cannot be reached, the opinion of a third reviewer would have been sought. The inclusion criteria were as follows:

  • (1)

    Gd-EOB-DTPA-MRI, and CEUS were used to diagnose HCC;

  • (2)

    The number of patients in the study was not less than 10;

  • (3)

    The diagnostic criteria for HCC include the following points: a. Pathology obtained by hepatectomy, liver transplantation, and/or liver biopsy; b. Imaging follow-up;

  • (4)

    The true positive (TP) value and false positive (FP) value can be obtained from the article.

The exclusion criteria were as follows:

  • (1)

    These types of articles include conference abstracts, comments, letters, systemic evaluations, reviews of the literature, and animal models; and

  • (2)

    Absence of one of the MRI and CEUS.

2.3. Data extraction

The first author of the paper, the country in which the study was undertaken, the year of publication, the number of patients, the average number of patients, the number and size of lesions, TP, and FP were extracted from each study. FN and TN were also extracted from some studies.

2.4. Imaging follow-up

For lesions with no typical manifestations, they can only be diagnosed as benign lesions if the lesions remain unchanged after at least 6 months of follow-up. During follow-up, previously undiagnosed or new lesions can be diagnosed as HCC lesions if they meet non-invasive diagnostic criteria.

2.5. Quality assessment

Each included study was evaluated using the diagnostic accuracy study-2 (QUADAS-2) tool. The quality of each study was assessed by assessing the risk of bias in four areas.[13]

2.6. Statistical analysis

The forest plots were established using the random-effects model of New Methodology in Review Manager, and heterogeneity testing was also conducted. The comparison of sensitivity and specificity between the two methods was expressed using the odds ratio (95% confidence intervals, CIs). If the odds ratio was greater than 1, MRI was deemed superior, otherwise CEUS was deemed superior. The summary receiver operating characteristic (SROC) curve was drawn using Diagnostic Test Accuracy Review in Review Manager. The statistical software used was Review Manager (RevMan) (Version 5.3. Copenhagen: The Nordic Cochrane Centre, the Cochrane Collaboration, 2014).

We conducted sub-group analysis of sensitivity as follows: after excluding one heterogeneous article from eight articles, the seven remaining articles were classified as Sub-group 1. Studies with a lesion diameter of less than 30 mm were included in Sub-group 2. Four studies involving lesions with non-HCC were included in Sub-group 3, and another four studies that focused exclusively on HCC were included in Sub-group 4. Specificity analysis was provided in four studies in Sub-group 5.

3. Results

A total of 141 articles were retrieved: 26 of the articles were repeated and then 98 articles were eliminated by reading the titles and abstracts. A total of 9 of 17 articles were removed by reading the full text. The current meta-analysis finally included the aforementioned eight studies.[1421] There were four studies that provided data on tumors less than 30 mm in diameter. Four of them provided specificity analysis. The research selection process is illustrated in Figures 1 and 2 shows the overall risk of bias for the eight studies.

Figure 1.

Figure 1

The process of study selection.

Figure 2.

Figure 2

Methodological quality of the studies included (QUADAS-2 results).

3.1. Study characteristics

The demographic and baseline characteristics are shown in Tables 2 and 3. A total of 376 patients with 446 HCC lesions were included.

Table 2.

Characteristics of the included studies.

Equipment/
Author Year Patients Lesions HCC lesions Lesion size (cm) Male/ Female Patient age Gold standard MRI CEUS
Alaboudy 2011 32 50 50 2.6 (0.5–11) 23/9 68.3+8.1 (48–79) P 1.5T/3.0T Sonazoid
Blondin 2011 33 47 41 NA 25/8 63.2 ± 11.2 P 1.5T SonoVue
Kawada 2010 13 15 15 NA 10/3 67 (51–77) P 3.0T Sonazoid
Leoni 2009 60 75 55 1.8 (1.0–3.0) 52/8 65.2 ± 10 P/I 1.5T Sonovue
Mita 2010 29 34 34 1.7 (0.8-2) 13/16 70.5 ± 7.96 (55–84) P 1.0T Sonazoid
Seitz 2010 84 82 29 NA 53/31 59.6 (28 – 82) P 1.5T SonoVue
Sugimoto 2015 27 27 27 <2 13/14 71.5 (59 – 81) P 1.0T Sonazoid
Zhou 2019 98 116 89 <2 67/31 58.13 P/I 3.0T SonoVue

CT = computed tomography, HCC = hepatocellular carcinoma, MRI = magnetic resonance imaging, NA = not available.

P: pathological follow up.

I: imaging follow up.

Table 3.

Various indicators of included literatures.

Author Year Prospective/ Retrospective Child-pugh class (A/B/C) The time interval of MRI and CEUS Nation Enrollment Patients
Alaboudy 2011 Retrospective NA NA Japanese July 2008 and March 2010
Blondin 2011 Retrospective 22/9/2 <4 weeks Germany January 2007 to March 2009
Kawada 2010 Retrospective 13 NA Japan June 2008 and June 2009
Leoni 2009 Retrospective 40/18/2 NA Italy consecutive September 2003 and November 2005
Mita 2010 Prospective NA NA Japan April 2008 to December 2009
Seitz 2010 Retrospective NA NA Germany May 2004 to December 2006
Sugimoto 2015 Retrospective NA NA Japan April 2008 to December 2009
Zhou 2019 Retrospective NA NA China February and December 2016

CEUS = contrast-enhanced ultrasound, MRI = magnetic resonance imaging, NA = not available.

3.2. Heterogeneity test

The homogeneity test of the sensitivity demonstrated moderate heterogeneity in the whole group and greater heterogeneity in Sub-groups 2 and 4 (I2 = 43%, I2 = 66%, I2 = 68%, respectively), and it did not demonstrate heterogeneity in Sub-groups 1 and 3. The homogeneity test of specificity demonstrated no significant heterogeneity.

Due to the whole group having moderate heterogeneity, we removed the article by Sugimoto (2015) with its high heterogeneity from the eight articles to form Sub-group 1: there was no heterogeneity in sensitivity in Sub-group 1, I2 = 0%.

3.3. Odds ratio

The total odds ratios of the whole group, and Sub-groups 1 to 5 were 1.78 (95%CI: 1.05-3.04), 1.47 (95%CI: 0.89-2.20), 2.37 (95%CI: 1.03–5.46), 1.41 (95%CI: 0.86–2.30), 2.54 (95%CI: 0.84–7.72), and 0.96 (95%CI: 0.46–2.06), respectively. The overall effects of the whole group and Sub-group 2 were 2.13 and 2.02, respectively, p < 0.05. The results are shown in Figure 3.

Figure 3.

Figure 3

Forest plots showing Odds Ratio with corresponding 95% Confidence Intervals (CIs) for the diagnostic performance of HCC by MRI and CEUS in each study. Overall group: including eight articles; Sub-group 1: including seven articles without heterogeneity; Sub-group 2: literature describing tumours of no more than 30 mm in diameter; Sub-group 3: literature focused exclusively on HCC. Sub-group 4: literature involving non-HCC lesions. Sub-group 5: the specific analyses of four studies.

The area under the curve (AUC) of SROC for CEUS was smaller than that of MRI in four articles, 0.88 (0.85–0.91) and 0.9 (0.87–0.92), P > .05, as shown in Figure 4.

Figure 4.

Figure 4

Summary receiver operating characteristic curves (SROC) for four studies. A line connects the pair of points representing the tests of MRI and CEUS from each study.

4. Discussion

Preoperative identification of the presence and absence of metastatic lesions in the liver of patients with liver cancer and the determination of the number of metastatic lesions are significantly related to the determination arising from BCLC staging, the formulation of surgical procedures, and the prognosis of patients.[2,12] CEUS and MRI can provide a standardized non-invasive diagnosis for high-risk HCC patients.[22] CEUS and MRI with liver-specific contrast media are reliable and of equal informative value in the characterization of focal liver lesions.[23,24] Some studies suggest that CEUS can be used as a first-line detection method for liver lesions.[25] There is no meta-analysis on the diagnostic performance of MRI and CEUS in HCC, so we conducted this meta-analysis on HCC diagnosis performance using Gd-EOB-DTPA-MRI with CEUS.

The total odds ratio was greater than 1 and the overall effect was significantly different in the whole group which exhibited moderate heterogeneity, necessitating the analysis thereof. After the article by Sugimoto (with its odds ratio exceeding 13) was removed, the seven remaining articles showed no heterogeneity. The total odds ratio of these seven studies was also greater 1. This suggested that the sensitivity of MRI was still better than that of CEUS and the low sensitivity of CEUS in the study by Sugimoto may be due to the fact that the tumors in this study were all less than 20 mm in diameter. The total odds ratio was less than 1 and overall effect exhibited no significant difference in Sub-group 5. This indicates that the specificity of MRI and CEUS in these four studies was similar, with no significant differences therein.

The total odds ratio was greater than 1 and the overall effect was one of significant differences even for lesions with a diameter no greater than 30 mm. Four studies could be used to extract data pertaining to tumors of no greater than 30 mm in diameter, so we performed a sub-group analysis of the diagnostic sensitivity of tumors with a diameter of no more than 30 mm. Our results suggested that the sensitivity of MRI was significantly better than that of CEUS in this sub-group. Liver-specific contrast agents increased the enhancement signal of the liver parenchyma at the hepatobiliary specific stage, thereby improving the manifestation of liver space occupation, especially for small lesions with a diameter of less than 10 mm.[26] The application of Gd-EOB-DTPA has allowed considerable progress in the diagnosis of liver neoplastic lesions, especially in the diagnosis of small lesions.[27] Kudo et al[28] had confirmed that Gd-EOB-DTPA-MRI could improve the ability to detect early liver cancer lesions of less than 20 mm diameter, and they found 30 patients with liver cancer resection specimens and a diagnostic coincidence rate of 93% (28/30). Kim et al[29] found that the diagnostic coincidence rate of CEUS for lesions smaller than 20 mm was 70%. Some studies suggested that Gd-EOB-DTPA-MRI had higher sensitivity than CEUS to tumors of no greater than 20 mm in diameter.[20,21]

Some studies had suggested that MRI could detect more small lesions than CEUS, but these studies do not compare the sensitivity of the two to lesion detection. Alaboudy et al[14] found that Gd-EOB-DTPA MRI detected 12% (6/50) more lesions than CEUS. Iwamoto et al[24] found that a significantly larger number of nodules could be evaluated by Gd-EOB-DTPA-enhanced MRI than by CEUS (P < .05). Kobayashi et al[30] found that the main tumor in all patients was detected by Gd-EOB-DTPA, but the main tumor in 5.6% (5/90) of patients was not detected by CEUS.

Our results showed that the SROC of MRI was greater than that of CEUS, but there was no significant difference between them, P > .05. There was no significant difference between the two methods, which may be because only four studies provided specific analysis indicators, and the comprehensive sensitivity and specificity of the four studies did not differ between the two methods.

5. Conclusions and limitations

Gd-EOB-DTPA DCE-MRI is more sensitive than CEUS in the diagnosis of HCC, especially for lesions of no greater than 30 mm in diameter.

The lesions reported in the eight studies were lesions that could be detected by both methods. Comparative analysis was not included for some lesions that could not be detected by either method: only four studies included non-HCC lesions, thus the comparison in sensitivity is relatively biased. Future, related studies are thus warranted.

Author contributions

Conceptualization: Jiming Wang, Xiaofei Ye, Jiangfa Li, Songqing He.

Data curation: Jiming Wang, Xiaofei Ye, Jiangfa Li.

Formal analysis: Jiming Wang, Xiaofei Ye, Jiangfa Li.

Funding acquisition: Jiangfa Li, Songqing He.

Investigation: Jiming Wang, Jiangfa Li.

Methodology: Jiming Wang, Xiaofei Ye, Jiangfa Li.

Supervision: Songqing He.

Writing – original draft: Jiming Wang, Xiaofei Ye, Jiangfa Li.

Writing – review & editing: Jiangfa Li, Songqing He.

Glossary

Abbreviations: CEUS = contrast-enhanced ultrasound, CT = computed tomography, DCE = dynamic contrast enhanced, FN = false negative, FP = false positive, Gd-EOB-DTPA = gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid, HCC = hepatocellular carcinoma, MRI = magnetic resonance imaging, TN = true negative, TP = true positive.

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