Comparison of endoscopic ultrasonography with and without contrast enhancement for characterization of pancreatic tumors: a meta-analysis

Abstract

Background and study aims Endoscopic ultrasonography (EUS) is a reliable and efficient modality for detecting pancreatic tumors; however, plain EUS (P-EUS) is limited with respect to characterization of pancreatic tumors. Recently, the use of contrast-enhanced harmonic EUS (CH-EUS) has increased, and its utility for characterization of pancreatic tumors has been reported. This meta-analysis compares the diagnostic ability of P-EUS with that of CH-EUS for characterization of pancreatic tumors.

Methods A systematic meta-analysis of all potentially relevant articles in PubMed, the Cochrane library, and Google Scholar databases was performed. Fixed effects or random effects models were used to investigate pooled sensitivity, specificity, positive likelihood ratio, and negative likelihood ratio, with 95 % confidence intervals (CIs).

Results This meta-analysis included 719 patients who underwent CH-EUS and 723 who underwent P-EUS, from six eligible studies. The pooled estimates of sensitivity, specificity, and diagnostic odds ratio were 93 % (95 % CI, 0.90–0.95), 80 % (95 % CI, 0.75–0.85), and 57.9 (95 % CI, 25.9–130), respectively, for CH-EUS, and 86 % (95 % CI, 0.82–0.89), 59 % (95 % CI, 0.52–0.65), and 8.3 (95 % CI, 2.8–24.5) for P-EUS. The areas under the summary receiver operating characteristics curves for CH-EUS and P-EUS were 0.96 and 0.80, respectively. The diagnostic odds ratio for pancreatic cancer was 2.98 times higher on CH-EUS than on P-EUS (P = 0.03). Funnel plots demonstrated no publication bias.

Conclusions This meta-analysis demonstrates that CH-EUS has higher diagnostic accuracy for pancreatic cancer than P-EUS, and is thus a valuable tool for characterization of pancreatic tumors.

Introduction

Despite the rapid development of imaging modalities, the incidence and mortality rates of pancreatic cancer are rising rapidly, and the disease is now the fourth leading cause of cancer-related death in the United States and Japan [1] [2]. It is usually diagnosed at an advanced stage, and 80 % to 90 % of patients with pancreatic cancer have unresectable tumors. For patients with metastatic disease, the 5-year survival rate is < 10 % [3]. Therefore, early detection of pancreatic cancer is necessary to improve the prognosis.

In this respect, endoscopic ultrasonography (EUS) is one of the most accurate diagnostic modalities for pancreatobiliary diseases because it offers spatial resolution superior to any other imaging modality [4] [5]. In fact, EUS is significantly superior to computed tomography (CT) for detection and characterization of small pancreatic tumors [5] [6] in clinical practice. EUS offers advantages over other imaging modalities for detection and analysis of pancreatic cancer. In a meta-analysis, the pooled estimates of EUS for diagnosing pancreatic malignancy in patients evaluated because of indeterminate contrast-enhanced multi-detector-row CT (MDCT) were a sensitivity of 85%, a specificity of 58 %, an accuracy of 75 %, and summary receiver operating characteristic (SROC) curve of 0.80 [6].

However, despite its ability to detect small pancreatic tumors with high sensitivity, plain EUS (P-EUS) alone is limited in its ability to distinguish pancreatic cancer from non-neoplastic pancreatic tumors because most pancreatic tumors are detected as hypoechoic tumors [7]. Moreover, approximately 60 % of small pancreatic tumors of ≤ 15 mm in asymptomatic patients are not pancreatic cancer [8]. Therefore, contrast-enhanced EUS (CE-EUS), which allows evaluation of the tumor vascularity, can help improve their characterization. Previously, endosonographers used contrast-enhanced Doppler EUS, which has limitations due to Doppler-related artifacts such as blooming and overpainting.

Development of contrast harmonic imaging allowed real-time depiction of microvessels and parenchymal perfusion without Doppler-related artifacts. Contrast-enhanced harmonic EUS (CH-EUS) with second-generation contrast agents is now considered an accurate technique for investigation of pancreatic tumors [8]. In fact, previous reports found that the diagnostic ability of CH-EUS was significantly higher than that of contrast-enhanced MDCT and magnetic resonance imaging (MRI) for the characterization of small pancreatic tumors (≤ 20 mm) in clinical practice [9] [10].

Prior to development of CH-EUS, pancreatic tumors were characterized by P-EUS using criteria such as hypoechogenicity and an irregular periphery. However, characterization with P-EUS alone was not adequate. Therefore, we evaluated improvements in characterization of pancreatic tumors by adding CH-EUS. In this meta-analysis, we focused on the role of P-EUS in tumor characterization rather than detection. Although four meta-analyses have investigated the diagnostic accuracy of CE-EUS or CH-EUS for characterization of pancreatic tumors [11] [12] [13] [14], no meta-analysis has directly compared CH-EUS and P-EUS. Therefore, we performed this meta-analysis to compare these two modalities for the characterization of pancreatic tumors.

Methods

This study does not involve active human participants and/or animal. Therefore, formal consent, informed consent, institutional review board approval, and ethical approval are not applicable. The review and meta-analysis were developed and reported in accordance with the preferred reporting items for systematic reviews and meta-analyses (PRISMA).

Research methods

PubMed, the Cochrane library, and Google Scholar databases between January 2000 and February 2021 were searched for relevant English-language articles using the following keywords: (“pancreatic cancer” OR “pancreatic mass” OR “pancreatic carcinoma” OR “pancreatic tumors”) AND (“contrast-enhanced” OR “echo enhanced” OR “contrast enhancement”) AND (“EUS” OR “endoscopic ultrasonography” OR “endoscopic ultrasound” OR “endosonography”). An expert methodologist (T.S.) oversaw systematic review and meta-analysis. The references of pertinent articles were independently checked to identify any further relevant articles by two authors (Y.Y. and R.A.).

Inclusion and exclusion criteria

The following were used as inclusion criteria: pancreatic solid masses explored by P-EUS and CH-EUS; the use of second-generation contrast agents; final diagnoses determined by histopathological examination of surgically obtained specimens, EUS-TA (tissue acquisition), or clinical follow-up of at least 6 months for benign lesions; provision of suitable data to allow true positive, false positive, false negative, and true negative rates to be obtained; and pancreatic cancer defined by CH-EUS and P-EUS as follows: On CH-EUS, tumors with a hypo-enhanced pattern in which the echo intensity of the tumor was lower than that of the surrounding pancreatic tissue; on P-EUS, tumors showing hypoechogenicity and/or an irregular periphery. All reports using the above definitions were included.

The following exclusion criteria were applied: unavailability of complete data and papers of the following types: conference abstracts, case reports, reviews, and editorials.

Statistical methods

The pooled estimates of sensitivity, specificity, and diagnostic odds ratios were obtained using Meta-Disc version 1.4. Pooled results were analyzed using a fixed effects model (Mantel-Haenszel method) when heterogeneity was not present [15], and a random effects model (DerSimonian-Laird method) when heterogeneity was detected [16]. The heterogeneity of the studies was evaluated using the Cochrane Q test and I² statistic. Publication bias was assessed using the funnel plot. Differences were considered statistically significant at P < 0.05. A SROC was constructed, and the area under the SROC (AUC) was calculated. The Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool was used to assess the quality of the selected studies by two authors (Y.Y. and R.A.).

Results

Study selection and quality assessment

A total of 1625 articles were originally identified in PubMed, the Cochrane library, and Google Scholar databases. After application of the inclusion and exclusion criteria, six articles [17] [18] [19] [20] [21] [22] with a total of 719 patients examined with CH-EUS and 723 patients examined with P-EUS were selected for the final analysis ([Fig. 1]). A flowchart detailing the study selection process is shown in [Fig. 1], and the main characteristics of the studies are listed in [Table 1]. In all adopted reports, characterization was based on pathological evaluations. Moreover, in patients with negative findings after pathological evaluation, the follow-up period was set so that benign tumors could be monitored for potential malignancy. QUADAS-2 assessment of the included studies showed that most studies had a low risk of bias ([Fig. 2], [Table 2]).

Fig. 1 Flowchart showing the study selection process.

Table 1 Characteristics of the selected studies.

Study	Country	No. patients	Sex (M/F)	Age	Contrast agent	Contrast mode	Gold standard
Omoto et al. 2021	Japan	204	108 /96	67.9	Sonazoid	Harmonic	Histology, follow-up (> 12 mo)
Bunganič et al. 2018	Czech Republic	116	62 /54	67.5	SonoVue	Harmonic	Histology, follow-up (> 12 mo)
Harmsen et al. 2018	Germany	215	80 /135	62	SonoVue	Harmonic	Histology, follow-up (> 12 mo)
Uekitani et al. 2016	Japan	49	23 /26	66.5	Sonazoid	Harmonic	Histology
Hocke et al. 2012	Germany	58	39 /19	60	SonoVue	Harmonic	Histology, follow-up (12 mo)
Fusaroli et al. 2010	Italy	90	44 /46	67	SonoVue	Harmonic	Histology, follow-up (> 6 mo)

Fig. 2 Quality assessment of the studies according to QUADAS-2. Red, high risk of bias; green: unclear risk of bias; blue, low risk of bias.

Table 2 Quality assessment of the included studies according to QUADAS-2.

	Risk of bias				Applicability concerns
Study	Patient selection	Index test	Reference standard	Flow and timing	Patient selection	Index test	Reference standard
Omoto et al. 2021	Low	Low	Low	Low	Low	Low	Low
Bunganič et al. 2018	Low	Low	Low	Low	Low	Low	Low
Harmsen et al. 2018	Low	Low	Low	Unclear	Low	Low	Low
Uekitani et al. 2016	Unclear	Low	Low	Low	Unclear	Low	Low
Hocke et al. 2012	High	Low	Low	Low	High	Low	Low
Fusaroli et al. 2010	Low	Low	Low	Low	Low	Low	Low

Diagnostic value

The pooled estimates of sensitivity and specificity for the characterization of pancreatic tumors were 93 % (95 % CI, 90–95) and 80 % (95 % CI, 75–85), respectively, on CH-EUS, and 86 % (95 % CI, 82–89) and 59 % (95 % CI, 52–65) on P-EUS ([Fig. 3], [Fig. 4]). The pooled positive likelihood ratio and negative likelihood ratio were 4.7 (95 % CI, 2.7–8.2) and 0.11 (95 % CI, 0.06–0.16), respectively, on CH-EUS, and 2.16 (95 % CI, 1.2–3.87) and 0.28 (95 % CI, 0.12–0.67) on P-EUS ([Fig. 5], [Fig. 6]). The area under the SROC curve was 0.96 on CH-EUS and 0.80, respectively, on P-EUS ([Fig. 7]). CH-EUS and P-EUS were therefore demonstrated as being useful for the characterization of pancreatic tumors, with high pooled diagnostic odds ratios of 57.87 and 8.26, respectively, ([Fig. 8]). However, the pooled diagnostic odds ratio of CH-EUS for diagnostic accuracy of pancreatic cancer was 2.98 times higher than that for P-EUS (P = 0.03; [Fig. 9]). There were statistically significant heterogeneities in the sensitivity of P-EUS, the specificities of CH-EUS and P-EUS, positive likelihood ratios on CH-EUS and P-EUS, negative likelihood ratio on P-EUS, diagnostic odds ratios on CH-EUS and P-EUS, and accuracies of CH-EUS and P-EUS. These pooled results were analyzed using a random effects model. Assessment of publication bias by funnel plots showed no indication of its presence ([Fig. 10]). Summary data from the meta-analysis are presented in [Table 3].

Fig. 3 Forest plots of pooled sensitivity for characterization of pancreatic tumors with contrast-enhanced harmonic endoscopic ultrasonography (CH-EUS) and plain EUS (P-EUS).

Fig. 4 Forest plots of pooled specificity for characterization of pancreatic tumors on contrast-enhanced harmonic endoscopic ultrasonography (CH-EUS) and plain EUS (P-EUS).

Fig. 5 Forest plots of the pooled positive likelihood ratios on contrast-enhanced harmonic endoscopic ultrasonography (CH-EUS) and plain EUS (P-EUS).

Fig. 6 Forest plots of the pooled negative likelihood ratios on contrast-enhanced harmonic endoscopic ultrasonography (CH-EUS) and plain EUS (P-EUS).

Fig. 7 Summary receiver operating characteristics (SROC) curves for accuracy of characterization for pancreatic tumors with contrast-enhanced harmonic endoscopic ultrasonography (CH-EUS) and plain EUS (P-EUS). AUC, area under the curve; SE, standard error; Q, the point at which sensitivity and specificity are equal.

Fig. 8 Forest plot of odds ratios for characterization for pancreatic tumors by contrast-enhanced harmonic endoscopic ultrasonography (CH-EUS) and plain EUS (P-EUS).

Fig. 9 Comparison of the accuracy of contrast-enhanced harmonic endoscopic ultrasonography (CH-EUS) and plain EUS (P-EUS) for the characterization of pancreatic tumors.

Fig. 10 Funnel plot to evaluate publication bias in the included studies.

Table 3 Summary of meta-analysis results.

	CH-EUS (95 % CI)	P-EUS (95 % CI)
Pooled sensitivity	0.93 (0.90,0.95)	0.86 (0.82,0.89)
Pooled specificity	0.80 (0.75,0.85)	0.59 (0.52,0.65)
Pooled positive likelihood ratio	4.70 (2.70,8.21)	2.16 (1.20,3.87)
Pooled negative likelihood ratio	0.10 (0.06,0.16)	0.28 (0.12,0.67)
Pooled diagnostic odds ratio	57.87 (25.86,129.50)	8.26 (2.78,24.52)
Area under the SROC curve	0.959	0.801

CH-EUS, contrast-enhanced harmonic endoscopic ultrasonography; P-EUS, plain endoscopic ultrasonography; CI, confidence interval; SROC, summary receiver operating characteristics.

Discussion

We attempted to compare corresponding imaging techniques to assess the utility of CH-EUS. Specifically, we tried to compare P-EUS with CT/MR for detection of focal pancreatic masses, and to compare CH-EUS with contrast-enhanced CT/MR. However, there are no reports comparing P-EUS with plain CT or MRI for detection of pancreatic tumors. Also, there were no reports comparing CH-EUS with contrast-enhanced MRI. Therefore, we performed a sub-meta-analysis of CH-EUS and contrast-enhanced CT (three articles, including a total of 542 patients examined with CH-EUS and 458 patients examined with CE-CT, were assessed) (Supplementary file). However, three articles are too small for meta-analysis and no useful results were obtained. Thus, it is necessary to perform meta-analysis with more reports in the future. Therefore, we compared the ability of CH-EUS and P-EUS to characterize pancreatic tumors; to the best of our knowledge, this is the first meta-analysis of this type. All diagnostic parameters assessed in this meta-analysis showed that CH-EUS was superior to P-EUS for characterization of pancreatic tumors.

Four meta-analyses have already investigated the ability of CE-EUS, including contrast-enhanced Doppler EUS and CH-EUS, to diagnose pancreatic cancer. These studies found pooled sensitivity, specificity, and SROC curve values of 91 % to 94 %, 80 % to 89 %, and 96 % to 97 %, respectively, which are consistent with those reported in the present study [11] [12] [13] [14]. However, because previous meta-analyses investigated only the diagnostic accuracy of CH-EUS, it was not possible to determine whether CH-EUS added something to P-EUS. CH-EUS has some shortcomings compared with P-EUS. For instance, CH-EUS involves additional costs, such as the cost of the ultrasound contrast agent and intravenous injection of it. Although adverse reactions to CH-EUS contrast agents are rare in humans [23], injection of contrast agent also has risks of adverse events. Therefore, we considered it necessary to determine whether it was worth performing CH-EUS as an additional test for characterization of pancreatic tumors. Articles in which both CH-EUS and P-EUS were performed on the same patients were selected for this meta-analysis, which showed CH-EUS to have pooled sensitivity, specificity, diagnostic odds ratio, and area under the SROC of 93 %, 80 %, 57.9, and 0.96, respectively, for the characterization of pancreatic tumors, whereas P-EUS showed pooled sensitivity, specificity, diagnostic odds ratio, and area under the SROC curve of 86 %, 59 %, 8.3, and 0.80, respectively. Moreover, the diagnostic odds ratio for accuracy of pancreatic cancer on CH-EUS was 2.98 times higher than that on P-EUS, and CH-EUS had statistically higher accuracy than P-EUS (P = 0.03). The QUADAS-2 assessment showed that most studies had a low risk of bias, and assessment using funnel plots showed no publication bias. These results indicate that during EUS, CE-EUS should be used for the characterization of pancreatic tumors, in addition to P-EUS.

P-EUS offers advantages over other imaging modalities for detection and analysis of pancreatic cancer. Considering our findings indicating that CH-EUS is superior to P-EUS, use of CH-EUS may result in further improvement in diagnostic ability compared with contrast-enhanced MDCT. In fact, two articles reported that CH-EUS was significantly superior to contrast-enhanced MDCT and/or MRI for characterization of small pancreatic tumors (≤ 20 mm) in clinical practice [9] [10]. Another advantage is that CH-EUS is superior to contrast-enhanced MDCT and contrast-enhanced MRI in patients with contraindications, such as renal failure or iodine contrast allergy, because adverse reactions to CH-EUS contrast agents are less frequent in humans. In addition, it allows real-time dynamic imaging and repeated examinations, and does not expose the patient to ionizing radiation. Therefore, these facts and our findings suggest that in cases in which P-EUS detects pancreatic tumors that are too small to be found with other imaging modalities, CH-EUS should be used for characterization of pancreatic tumors.

Currently, when a pancreatic tumor is detected on P-EUS, EUS-TA is performed to establish a definitive diagnosis. Although EUS-TA is an important tool for pathological diagnosis of pancreatic tumors, it is subject to some limitations. First, it is difficult to perform EUS-TA when blood vessels intervene across the puncture line. A multicenter study showed that complications associated with EUS-TA (1.7 % of all interventions) are related to bleeding (49.1 %), pancreatitis (26.5 %), peritonitis (3.4 %), perforation (2.1 %), pancreatic duct leakage (3.4 %), and needle tract seeding (3 %) with EUS-TA [24]. Another limitation is presence of false-negative findings on EUS-TA. EUS-TA for identification of pancreatic cancers of 11 mm to 20 mm showed sensitivity, specificity, and accuracy of 75.9 % to 92 %, 93.8 % to 100 %, and 78.9 % to 95 %, respectively [25], whereas for pancreatic cancer ≤ 10 mm, Siddiqui et al. reported sensitivity, specificity, and accuracy of only 40 %, 80 %, and 47.4 %, respectively [26]. EUS-TA may give false-negative results in patients with small pancreatic tumors. In these cases, CH-EUS can complement characterization of pancreatic tumors. Gincul et al. reported that CH-EUS and EUS-TA had accuracy of 95 % and 96 %, respectively; sensitivity of 94 % and 95 %; and specificity of 93 % and 100 %, with there being no significant differences between the two modalities in clinical practice [27]. Nevertheless, five false-negative cases on EUS-TA were correctly classified by CH-EUS. Therefore, we propose the following strategy for using CH-EUS. EUS for management of masses of the pancreas should include standard EUS, CH-EUS, and then EUS-TA. If the hypo-echogenic mass is hypo-enhanced on CH-EUS and the sample is not a cancer, then we quickly reschedule a second sampling session; conversely, if the hypo-echogenic mass is not hypo-enhanced on CH-EUS and the sample shows no evidence of a tumor (only inflammatory tissue with fibrosis), we are confident in the hypothesis of a mass-forming pancreatitis. We then follow up the mass. Moreover, CH-EUS can be an alternative diagnostic method for small tumors for which it is difficult or impossible to perform EUS-TA.

This study has some limitations. First, no randomized controlled trials were included, and the study designs were retrospective in 50 % of the selected studies. Second, heterogeneity in the specificity and the positive likelihood ratio might have affected interpretation of the data and conclusions. However, a random effects model (DerSimonian-Laird method) was used when statistically significant heterogeneity was detected. Third, exclusion of conference abstracts, case reports, reviews, and unpublished data may have given rise to publication bias, such that our results may have overestimated the actual diagnostic performance.

Conclusions

In conclusion, the results of this study demonstrate that CH-EUS provides significantly better diagnostic accuracy for pancreatic cancer than P-EUS in clinical practice.

Competing interests

Kitano and Napoléon have received honoraria from Olympus Corporation for presentations at conferences. Dr. Dietrich has received honoraria from Hitachi and Pentax Corporations for presentations at conferences.

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Publikationsverlauf

Eingereicht: 08. Mai 2021

Angenommen nach Revision: 27. September 2021

Accepted Manuscript online:
25. Februar 2022

Artikel online veröffentlicht:
14. April 2022