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.