Contrast‑enhanced harmonic endoscopic ultrasonography for the differential diagnosis of pancreatic masses: A systematic review and meta‑analysis

  • Authors:
    • Yang Li
    • Hailin Jin
    • Dan Liao
    • Bo Qian
    • Yeifei Zhang
    • Min Xu
    • Shutang Han
  • View Affiliations

  • Published online on: August 9, 2019     https://doi.org/10.3892/mco.2019.1908
  • Pages: 425-433
Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )


Abstract

Understanding the difference between malignant and benign pancreatic masses is critical in terms of diagnosis, although this is difficult to determine in clinical practice. The contrast‑enhanced harmonic endoscopic ultrasound (CH‑EUS) technique was introduced in 2010, although, to the best of the authors' knowledge, there has been no systematic review or meta‑analysis to date evaluating its diagnostic performance for the differentiation of pancreatic masses. The aim of the present study was to systematically evaluate the diagnostic performance of CH‑EUS for the differentiation of pancreatic masses. Search key words and inclusion and exclusion criteria were initially presented. Two independent authors read and extracted the relevant information from the included studies. Disagreements were resolved through discussion with another two experienced authors. Metadisc and Stata software were used for the meta‑analysis and the evaluation of bias. A total of 16 studies comprising 1,325 patients were included in this meta‑analysis. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio and diagnostic odds ratio of CH‑EUS were used to distinguish between malignant and benign tumors, and the values obtained were 93% [95% confidence interval (CI): 91‑94%], 84% (95% CI: 80‑87%), 5.58 (95% CI: 3.90‑7.97), 0.09 (95% CI: 0.07‑0.11) and 72.56 (95% CI: 48.93‑107.60), respectively. The area under the summary receiver operating characteristic curve was determined to be 0.96. No publication bias was identified in this meta‑analysis. Taken together, these results confirm that CH‑EUS has a high accuracy rate for distinguishing between benign and malignant pancreatic space‑occupying lesions, and it may therefore be used as an effective diagnostic tool for pancreatic masses.

Introduction

Pancreatic cancer is one of the most aggressive digestive system malignancies, and poses a major threat to human health, representing a major socioeconomic burden worldwide. Moreover, the morbidity and mortality rates of pancreatic cancer continue to rise on a yearly basis (1). The majority of the patients who are initially inflicted with pancreatic cancer do not exhibit any clear clinical symptoms, or only display non-specific symptoms, such as abdominal distention and emesis. Considering that the pancreas is a retroperitoneal organ that is located behind the stomach and duodenum, the application of current imaging techniques is limited (2). As a result, distinguishing pancreatic cancer from other focal pancreatic diseases remains challenging. Defining the properties of pancreatic tumors at an early stage would markedly improve the survival and the quality of life of the patients (2). Contrast-enhanced harmonic endoscopic ultrasound (CH-EUS) is a novel technology that has been used in the diagnosis of pancreatic diseases over the course of the last decade. This method combines EUS with tissue harmonic imaging technology, and overcomes two major shortcomings of the traditionally applied method, abdominal Doppler ultrasound: The latter is susceptible to gastrointestinal gas, whereas the former is insensitive to the tiny blood vessels in which the blood flows at low speed (3). With CH-EUS, it is also possible to observe the blood vessels of pancreatic masses in more detail, and it is therefore more accurate in terms of determining pancreatic mass properties (4). To the best of our knowledge, using CH-EUS to differentiate pancreatic malignant from benign masses has only been reported by a few clinical cohort studies (3,4). To date, however, no systematic reviews or meta-analyses have been performed to estimate the diagnostic value of CH-EUS with respect to its ability to differentiate pancreatic malignant tumors from other focal pancreatic diseases. Therefore, a systematic review and meta-analysis has been undertaken in the present study.

Materials and methods

Literature search

Articles published up to January 2017 in the PubMed, EMBASE, Medline, Web of Science and Cochrane Library databases were searched. The terms used for the search strategy were [(‘contrast enhanced’ OR ‘contrast enhancement’ OR ‘contrast imaging’ OR ‘contrast agent’ OR ‘contrast medium’) AND ‘harmonic’], and (‘EUS’ OR ‘endoscopic ultrasound’ OR ‘endosonography’ OR ‘endoscopy ultrasonographic’) AND (‘pancreatic cancer’ or ‘pancreatic mass’ or ‘pancreatitis’)].

Inclusion criteria

The criteria for studies to be included in the present systematic review and meta-analysis were as follows: i) CH-EUS was applied to determine the pancreatic mass quality; ii) all patients received a definitive final diagnosis, i.e., malignant tumors were treated with surgical resection or subjected to EUS-guided fine-needle aspiration (EUS-FNA), and benign tumors was followed up for >6 months consecutively; iii) the most important four statistics [true positive (TP), false positive (FP), true negative (TN) and false negative (FN)] were extractable from these studies either directly or mediately; (iv) there were no restrictions on the study design or the number of study centers; and (v) although full-text original articles were preferred, abstracts alone were also included in the analysis.

Exclusion criteria

The exclusion criteria were as follows: i) Duplicate studies, case reports, reviews or letters to the editor; ii) statistical data insufficient to construct a 2×2 diagnostic table; iii) the ultimate diagnoses of patients were not recorded, or the continuous follow-up time of the patients was <6 months.

Data collection

Two independent authors (YL and DL) scanned and identified the relevant literature according to the same inclusion and exclusion criteria. When the two interpretations of the data were inconsistent, two other authors (MX and SH) would also critically assess the collection, ensuring that the final result was precise. Detailed information, including the total numbers of patients, the authors' country, patients' mean age, the diameter of the mass, type of study (retrospective/prospective), study center (single/multiple), diagnostic method (qualitative/quantitative), lesion characteristics (solid/cystic), and the TP, FP, TN and FN statistics were extracted for further analysis.

Quality assessment

The Quality Assessment of Diagnostic Accuracy Studies (QUADAS)-2 tool was applied to rate the quality of each included study (5). The QUADAS-2 tool was applied in four phases: The review question was summarized, the tool was tailored to produce review-specific guidance, a flow diagram for the primary study was constructed, and the publication bias and applicability were assessed. This tool allows for more transparent rating of bias and applicability of primary diagnostic accuracy studies (5). This important work was completed by two independent authors (YL and DL), through discussing their results with an additional author (MX) at the time of data collection.

Statistical analysis

Statistical analyses were performed using Metadisc software, version 1.4 (Hospital Universitario Ramon y Cajal) and Stata software, version 14 (StataCorp LP). First, whether the meta-analysis could be accomplished using Metadisc software for the Spearman's test was determined. Subsequently, Metadisc software was used to merge the diagnostic statistical data. Q-test and Chi-squared test were used to determine whether there was any heterogeneity between the results of each study. If P<0.1 or I2>50% was obtained, then heterogeneity was determined to exist, and the random effects model was used to calculate the pooled sensitivity, pooled specificity, pooled negative likelihood ratio (NLR), pooled positive likelihood ratio (PLR), and the diagnostic odds ratio (DOR). Otherwise, the fixed effects model was used to calculate the heterogeneity. Moreover, the factors that cause heterogeneity were identified using meta-regression and subgroup meta-analysis. Finally, the publishing bias of the literature was analyzed by drawing funnel and Egger's publication bias plots using Stata 14.0 software.

Results

Literature search

A total of 1,440 articles were initially extracted from the PubMed, EMBASE, Medline, Web of Science and Cochrane Library databases. Subsequently, 394 duplicate articles were removed, and clearly irrelevant articles, reviews, case report articles, letters to the editor, and guidelines were also excluded. After reading every abstract and full-text article, 29 articles where Doppler enhancement had been studied, 11 articles on transabdominal ultrasound and 3 articles in which 2×2 diagnostic tables could not be extracted were excluded, leaving 16 remaining studies that were included in this review (Fig. 1).

Study characteristics

The characteristics of the 16 studies (3,4,619), including a total of 1,325 patients, were extracted by two independent authors. Eight studies, including 534 patients, were from the USA and Europe, whereas the remaining 8 studies, including 791 patients, were from Asia. The minimum duration of the included studies was 3 months. Moreover, 12 of the studies also included >12 months of follow-up. In addition, of the 16 studies, 10 were retrospective and 6 prospective, whereas 13 were single-center and 3 were multi-center. The majority of the patients included in the 16 studies were aged >60 years; however, Romagnuolo et al (9) failed to report on the mean age of the patients. The diameter of the pancreatic masses ranged from 18.6 to 42.5 mm, and the majority of these masses were solid. The two mainstream ultrasound imaging contrast agents, SonoVue™ (Bracco) and Sonazoid™ (GE Healthcare), were used in 15 of the studies. Half of the included studies used a qualitative ultrasound enhancement method, whereas the other half used a quantitative method. A total of 6 studies failed to report on the endosonographer, whereas the diagnoses in the remaining 10 studies were confirmed by more than one endoscopy expert (Table I).

Table I.

General characteristics of the included studies.

Table I.

General characteristics of the included studies.

First author, yearStudy IDTotal patient no.CountryDuration of study (months)Study type (R/P)Study center (S/M)Mean age (years)Sex (female %)Diameter (mm)Agent typeUltrasound diagnostic method (qualitative/quantitative)Final diagnosis standardEndosonographer (expert/U)Lesion characteristics (solid/cystic)(Refs.)
Fusaroli, 2010190Italy18RS67.051.125.0SVQualitativePT/CCExpertSolid(3)
Napoleon, 2010235France12PS60.045.730.0SVQualitativePT/CCUSolid(6)
Seicean, 2010330Romania3RS57.016.742.5SVQuantitativePTExpertSolid(7)
Matsubara, 2011491Japan30RS61.433.023.7SZQualitativePT/CCUU(8)
Romagnuolo, 2011511USAUPSUU18.6DQuantitativePT/CCUU(9)
Kitano, 20126277Japan25PM64.337.532.4SZQuantitativePT/CCExpertSolid(10)
Imazu, 2012730Japan21RS66.926.740.5SZQuantitativePT/CCExpertU(11)
Gheonea, 2013851RomaniaURS50.051.0USVQuantitativePT/CCExpertU(12)
Lee, 2013937South Korea20RS62.335.134.0SVQualitativePTExpertSolid(13)
Gincul, 201410100France11PM64.649.030.6SVQuantitativePT/CCExpertSolid(4)
Park, 20141190South Korea31RS63.531.1USVQualitativePT/CCExpertSolid(14)
Yamashita, 201512147Japan54RS69.037.430.0SZQualitativePT/CCExpertSolid(15)
Săftoiu, 201513167Spain, Germany, Romania, Denmark33PM62.024.030.0SVQuantitativePT/CCUSolid(16)
Kamata, 20161470Japan61PS62.055.733.0SZQualitativePTExpertCystic(17)
Iordache, 20161550Romania48RS54.314USVQuantitativePT/CCUSolid(18)
Uekitani, 20161649Japan32RS66.55331.1SZQualitativePT/CCUU(19)

[i] Patients without positive tissues were followed up for 6–12 months. SV, SonoVue; SZ, Sonazoid; D, Definity; R, retrospective study; P, prospective study; S, single-center; M, multi-center; PT, positive tissues; CC, clinical confirmation; U, unconfirmed.

2×2 diagnostic tables data and quality of the literature

The four-grid data were registered, and the quality of the included literature was assessed using the QUADAS-2 method (Table II). The risk of bias in the reference index text was not reported by Imazu et al (11). In addition, there was a high risk of bias in flow and timing in the studies of Romagnuolo et al (9), Imazu et al (11) and Iordache et al (18). Overall, all 16 studies were deemed as high-quality.

Table II.

Derived 2×2 table and QUADAS-2 results.

Table II.

Derived 2×2 table and QUADAS-2 results.

Risk of biasaConcerns regarding applicabilitya


Study IDTPFPFNTN1234123
14914225LLLLLLL
2162215LLLLLLL
3121311LLLLLLL
4463240LULLLLL
59002LLLHLLL
619491064LLLLLLL
722008LULHLLL
8302217LLLLLLL
928126LLLLLLL
10662329LLLLLLL
11579519LLLLLLL
1210211727LLLLLLL
139841451LLLLLLL
142910130LLLLLLL
15176225LLLHLLL
1632089LLLLLLL

a 1, patient selected; 2, index text; 3, reference standard; 4, flow and timing. L, low risk; H, high risk; U, unclear risk; TP, true positive; FP, false positive; FN, false negative; TN, true negative; QUADAS, Quality Assessment of Diagnostic Accuracy Studies.

Diagnostic performance of CH-EUS

A Spearman's test was performed, and the Spearman's relative number was identified to be 0.094 (P=0.729). Furthermore, on the receiver operating characteristic (ROC) plane, the distribution of the data points did not appear as the characteristic ‘shoulder-arm’ shape (Fig. 2). Therefore, no threshold effect existed among the 16 studies. The pooled sensitivity, specificity, PLR, NLR and DOR statistics of the CH-EUS analysis were used to distinguish malignant from benign tumors, and these values were determined to be 93% [95% confidence interval (CI), 91–94%], 84% (95% CI: 80–87%), 5.58 (95% CI: 3.90–7.97), 0.09 (95% CI: 0.07–0.11) and 72.56 (95% CI: 48.93–107.60), respectively (Fig. 3A-E). On the summary ROC (SROC) curve, the area under the curve (AUC) was shown to be 0.9611, which was a significant result, and therefore the malignant tumors were successfully differentiated from the benign ones (Fig. 3F).

Heterogeneity analysis

In order to explore the sources of heterogeneity, subgroup meta-analysis and meta-regression studies were performed, suggesting that the country of origin, total number of patients, the experience of the endoscopy experts, average age, study design, sex, lesion diameter, lesion characteristics, fellow-up duration, the number of study center, diagnostic method and agent type, were not the origin of heterogeneity. Taken together, the results of the subgroup meta-analysis revealed that the diagnostic performance of CH-EUS in terms of differentiating the pancreatic masses was good as well as stable (Table III).

Table III.

Predefined subgroup analysis of indices and subsequent meta-regression on DOR.

Table III.

Predefined subgroup analysis of indices and subsequent meta-regression on DOR.

SubgroupStudy numbersPooled sensitivity (95% CI)I2%Pooled specificity (95% CI)I2%Diagnostic odds ratio (95% CI)I2%RDOR (95% CI)P-value
Area
  Europe/America80.91 (0.87–0.94)11.80.85 (0.79–0.89)59.671.60 (38.55–132.95)01.3 (0.45–3.81)0.60
  Asian80.94 (0.91–0.95)47.00.83 (0.77–0.87)65.273.30 (43.97–122.20)33.3
Total patients
  ≥8570.93 (0.91–0.95)26.80.83 (0.78–0.87)78.478.60 (39.13–157.91)50.50.74 (0.24–2.24)0.56
  <8590.90 (0.85–0.94)35.90.85 (0.78–0.90)19.567.43 (31.13–146.05)0
Duration, months
  ≥2870.94 (0.91–0.95)470.83 (0.77–0.87)65.273.30 (43.97–122.20)33.31.60 (0.76–3.40)0.20
  <2870.94 (0.91–0.95)470.83 (0.77–0.87)65.273.30 (43.97–122.20)33.3
  Unconfirmed20.94 (0.91–0.95)470.83 (0.77–0.87)65.273.30 (43.97–122.20)33.3
Study center
  Single130.92 (0.90–0.95)25.90.80 (0.75–0.84)55.854.42 (33.53–88.31)02.32 (0.83–6.45)0.10
  Multiple30.93 (0.90–0.95)70.00.91 (0.85–0.95)0130.36 (66.11–257.04)0
Design
  Retrospective100.92 (0.89–0.95)39.10.80 (0.74–0.85)64.452.93 (31.52–88.87)01.98 (0.75–5.21)0.15
  Prospective60.93 (0.90–0.95)37.30.88 (0.82–0.92)35.1109.86 (59.68–202.24)0
Mean age, years
  ≥60120.93 (0.91–0.95)48.70.83 (0.79–0.87)7277.82 (50.39–120.20)25.50.51 (0.16–1.60)0.22
  <6030.89 (0.81–0.95)00.86 (0.76–0.93)055.62 (20.59–150.19)0
  Unconfirmed10.89 (0.52–1.00)01.00 (0.03–1.00)017.00 (0.45–648.21)
Sex (female %)
  ≥5040.89 (0.81–0.95)00.86 (0.76–0.93)055.62 (20.59–150.19)00.74 (0.21–2.56)0.61
  <50110.93 (0.91–0.95)29.20.86 (0.82–0.89)53.875.15 (48.95–115.38)28.2
  Unconfirmed10.89 (0.52–1.00)01.00 (0.03–1.00)017.00 (0.45–648.21)
Agent type
  SonoVue90.91 (0.88–0.94)1.10.83 (0.77–0.87)62.560.69 (35.52–103.68)01.54 (0.64–3.70)0.31
  Sonazoid60.94 (0.91–0.96)61.20.84 (0.79–0.89)68.894.23 (52.04–170.61)24.7
  Others10.89 (0.52–1.00)01.00 (0.03–1.00)017.00 (0.45–648.21)
Diagnostic method
  Qualitative80.93 (0.89–0.95)29.40.77 (0.71–0.83)64.552.62 (30.29–91.43)01.91 (0.65–5.59)0.22
  Quantitative80.93 (0.90–0.95)46.30.90 (0.85–0.93)0101.89 (57.81–179.60)0
Endosonographer
  Expert100.94 (0.92–0.96)00.80 (0.75–0.84)62.069.14 (43.23–110.58)21.30.61 (0.17–2.15)0.41
  Unconfirmed60.88 (0.84–0.92)13.30.90 (0.85–0.95)10.080.57 (38.97–166.55)0
Lesion characteristics
  Solid100.93 (0.91–0.95)18.50.82 (0.78–0.86)64.163.33 (41.17–97.43)12.81.46 (0.74–2.90)0.25
  Cystic10.97 (0.83–1.00)00.75 (0.59–0.87)087.00 (10.46–723.40)
  Unconfirmed50.91 (0.86–0.95)62.60.94 (0.86–0.98)0145.34 (46.35–455.78)0
Lesion diameter, mm
  ≥30100.92 (0.90–0.94)560.86 (0.82–0.90)52.787.27 (53.55–142.22)00.72 (0.4–12.8)0.24
  <3030.95 (0.90–0.98)00.80 (0.69–0.88)82.679.39 (26.43–238.43)39.9
  Unconfirmed30.92 (0.85–0.96)00.78 (0.67–0.87)40.837.31 (15.88–87.65)0

[i] RDOR, relative diagnostic odds ratio; CI, confidence interval.

Publication bias

Assessment for the publication bias by funnel plot construction revealed that 2 of the studies lay on the left of the funnel plot, whereas 1 study was positioned to the right (Fig. 4A). Regarding the Egger's publication bias plot, the distribution of spots was linear (Fig. 4B). Based on these results, no publication bias was identified in this meta-analysis.

Discussion

There are numerous methods that can be employed in order to differentially evaluate pancreatic masses, including transabdominal ultrasound, computed tomography (CT) and magnetic resonance imaging, among others. However, the sensitivity and specificity of these traditional diagnostic methods are low, particularly when the diameter of the tumor is <2 cm (20). EUS has been applied in the clinic for decades, with some success. It is able to overcome the gas interference associated with transabdominal ultrasound; therefore, EUS has been established as a suitable method for differentiating malignant from benign pancreatic masses. However, it is highly affected by the experience of the endosonographer as regards EUS image acquisition (21). EUS-FNA, a technique derived from EUS, is a new diagnostic method by which tissue samples of pancreatic masses are obtained for pathology diagnosis. EUS-FNA has achieved diagnostic sensitivity and specificity rates of up to 95 and 100%, respectively (22). However, EUS-FNA is invasive, and the procedure is difficult and complicated. If the procedure is not successful in obtaining positive tissue, repeat EUS-FNA is deemed necessary. Contrast-enhanced EUS (CE-EUS) combines enhanced ultrasonography with endoscopy. After injecting a contrast agent, the blood flow signal of pancreatic tumors was found to be markedly improved. Sakamoto et al (23) demonstrated that the sensitivity of the diagnosis of pancreatic cancer was 94.4% with CE-EUS, which was a significant improvement compared with enhanced CT. However, as an earlier established enhancement type, Doppler enhancement is not very sensitive to the small vessels of the pancreas and, therefore, induces the so-called ‘flower’ phenomenon, which arises from the fake blood flow signal. The emergence of CH-EUS, however, has made up for these defects. CH-EUS was reported by Dietrich et al as early as 2005 (24). This group first used harmonic enhancement, another more efficient enhancement mode, to observe the abdominal vessels. CH-EUS utilizes a selective harmonic detection element that, when mounted at the front of the endoscope, is able to detect the non-linear signal of the intravascular microbubble produced by the contrast agent, while filtering out the differential signal derived from the tissue and avoiding hypo-enhancement with the heterogeneous pattern of the pancreatic mass lesion. Upon CH-EUS imaging, pancreatic malignant tissue exhibits low and uneven vascular enhancement, making it easy to distinguish malignant from benign tissue. As a result, the accuracy of CH-EUS in terms of diagnosis of pancreatic cancer was found to be markedly improved (25,26).

To the best of the authors' knowledge, this is the first systematic review and meta-analysis to estimate the diagnostic performance of CH-EUS for the differentiation of pancreatic masses since 2010, when CH-EUS was introduced by Fusaroli et al (3). In this meta-analysis, the characteristic ‘shoulder-arm’ shape of the data point distribution was found to be lacking on the ROC plane. Of note, no threshold was set in the sensitivity and specificity among the 16 included studies. In the present review, the pooled sensitivity was >90%, and the pooled specificity was also >80%. It is well established that the likelihood ratios (PLR and NLR) and DOR are reflections of the composite index of sensitivity and specificity, which are more sensitive compared with sensitivity and specificity alone. In the present review, the pooled PLR, NLR and DOR also revealed that CH-EUS performed well in the diagnosis of pancreatic masses. The area under SROC, identified to be 0.96, was very close to 1. Furthermore, it was also demonstrated that the country of origin, number of patients, study design, selection of contrast enhancement agent, experience of the endosonographer, lesion characteristics, ultrasound evaluation method, and an additional 9 factors, did not have a significant impact on the diagnostic performance of CH-EUS in terms of the differentiation of the pancreatic mass by subgroup meta-analysis and meta-regression. Finally, only articles published in English were searched in the PubMed, EMBASE, Medline, Web of Science and Cochrane Library databases, and the overall quality of a number of the studies identified was not high. However, the literature publication bias of these included 16 studies was acceptable. Based on the above findings, and it was possible to conclude that CH-EUS performed well as a technique in the differential diagnosis of pancreatic masses.

In conclusion, the present study demonstrated that CH-EUS is characterized by high accuracy for differentiating between benign and malignant pancreatic space-occupying lesions, and it also has the advantages of being non-invasive and cost-effective. Therefore, it may prove to be an effective method for the identification of benign and malignant pancreatic lesions in the future.

Acknowledgements

Not applicable.

Funding

The present study was supported by an innovation fund of the Jiangsu Hospital of Chinese Medicine (grant no. Y2018CX57) and the second batch of scientific research special projects for the construction of the National TCM Clinical Research Base in 2015 (grant no. JDZX2015086).

Availability of data and materials

All data generated or analyzed during the present study are included in this published article.

Authors' contributions

YL and DL scanned and identified the relevant literature according to the inclusion and exclusion criteria. YL, HJ, BQ and YZ wrote and modified parts of the manuscript. MX and SH conceived the study and conducted a critical pre-submission review of the manuscript. All the authors have read and approved the final version of the manuscript for publication.

Ethics approval and consent to participate

Not applicable.

Patient consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Glossary

Abbreviations

Abbreviations:

EUS

endoscopic ultrasound

EUS-FNA

endoscopic ultrasound-guided fine-needle aspiration

CE-EUS

contrast-enhanced endoscopic ultrasound

PLR

positive likelihood ratio

NLR

negative likelihood ratio

DOR

diagnostic odds ratio

TP

true positive

FP

false positive

FN

false negative

TN

true negative

ROC

receiver operating characteristic

SROC

summary receiver operating characteristic

AUC

area under the curve

QUADAS

Quality Assessment of Diagnostic Accuracy Studies

References

1 

Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J and Jemal A: Global cancer statistics, 2012. CA Cancer J Clin. 65:87–108. 2015. View Article : Google Scholar : PubMed/NCBI

2 

Hackeng WM, Hruban RH, Offerhaus GJ and Brosens LA: Surgical and molecular pathology of pancreatic neoplasms. Diagn Pathol. 11:472016. View Article : Google Scholar : PubMed/NCBI

3 

Fusaroli P, Spada A, Mancino MG and Caletti G: Contrast harmonic echo-endoscopic ultrasound improves accuracy in diagnosis of solid pancreatic masses. Clin Gastroenterol Hepatol. 8:629–634.e1-e2. 2010. View Article : Google Scholar : PubMed/NCBI

4 

Gincul R, Palazzo M, Pujol B, Tubach F, Palazzo L, Lefort C, Fumex F, Lombard A, Ribeiro D, Fabre M, et al: Contrast-harmonic endoscopic ultrasound for the diagnosis of pancreatic adenocarcinoma: A prospective multicenter trial. Endoscopy. 46:373–379. 2014. View Article : Google Scholar : PubMed/NCBI

5 

Whiting PF, Rutjes AW, Westwood ME, Mallett S, Deeks JJ, Reitsma JB, Leeflang MM, Sterne JA and Bossuyt PM; QUADAS-2 Group, : QUADAS-2: A revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med. 155:529–536. 2011. View Article : Google Scholar : PubMed/NCBI

6 

Napoleon B, Alvarez-Sanchez MV, Gincoul R, Pujol B, Lefort C, Lepilliez V, Labadie M, Souquet JC, Queneau PE, Scoazec JY, et al: Contrast-enhanced harmonic endoscopic ultrasound in solid lesions of the pancreas: Results of a pilot study. Endoscopy. 42:564–570. 2010. View Article : Google Scholar : PubMed/NCBI

7 

Seicean A, Badea R, Stan-Iuga R, Mocan T, Gulei I and Pascu O: Quantitative contrast-enhanced harmonic endoscopic ultrasonography for the discrimination of solid pancreatic masses. Ultraschall Med. 31:571–576. 2010. View Article : Google Scholar : PubMed/NCBI

8 

Matsubara H, Itoh A, Kawashima H, Kasugai T, Ohno E, Ishikawa T, Itoh Y, Nakamura Y, Hiramatsu T, Nakamura M, et al: Dynamic quantitative evaluation of contrast-enhanced endoscopic ultrasonography in the diagnosis of pancreatic diseases. Pancreas. 40:1073–1079. 2011. View Article : Google Scholar : PubMed/NCBI

9 

Romagnuolo J, Hoffman B, Vela S, Hawes R and Vignesh S: Accuracy of contrast-enhanced harmonic EUS with a second- generation perflutren lipid microsphere contrast agent (with video). Gastrointest Endosc. 73:52–63. 2011. View Article : Google Scholar : PubMed/NCBI

10 

Kitano M, Kudo M, Yamao K, Takagi T, Sakamoto H, Komaki T, Kamata K, Imai H, Chiba Y, Okada M, et al: Characterization of small solid tumors in the pancreas: The value of contrast-enhanced harmonic endoscopic ultrasonography. Am J Gastroenterol. 107:303–310. 2012. View Article : Google Scholar : PubMed/NCBI

11 

Imazu H, Kanazawa K, Mori N, Ikeda K, Kakutani H, Sumiyama K, Hino S, Ang TL, Omar S and Tajiri H: Novel quantitative perfusion analysis with contrast-enhanced harmonic EUS for differentiation of autoimmune pancreatitis from pancreatic carcinoma. Scand J Gastroenterol. 47:853–860. 2012. View Article : Google Scholar : PubMed/NCBI

12 

Gheonea DI, Streba CT, Ciurea T and Săftoiu A: Quantitative low mechanical index contrast-enhanced endoscopic ultrasound for the differential diagnosis of chronic pseudotumoral pancreatitis and pancreatic cancer. BMC Gastroenterol. 13:22013. View Article : Google Scholar : PubMed/NCBI

13 

Lee TY, Cheon YK and Shim CS: Clinical role of contrast- enhanced harmonic endoscopic ultrasound in differentiating solid lesions of the pancreas: A single-center experience in Korea. Gut Liver. 7:599–604. 2013. View Article : Google Scholar : PubMed/NCBI

14 

Park JS, Kim HK, Bang BW, Kim SG, Jeong S and Lee DH: Effectiveness of contrast-enhanced harmonic endoscopic ultrasound for the evaluation of solid pancreatic masses. World J Gastroenterol. 20:518–524. 2014. View Article : Google Scholar : PubMed/NCBI

15 

Yamashita Y, Kato J, Ueda K, Nakamura Y, Kawaji Y, Abe H, Nuta J, Tamura T, Itonaga M, Yoshida T, et al: Contrast-enhanced endoscopic ultrasonography for pancreatic tumors. Biomed Res Int 2015. 4917822015.

16 

Săftoiu A, Vilmann P, Dietrich CF, Iglesias-Garcia J, Hocke M, Seicean A, Ignee A, Hassan H, Streba CT, Ioncică AM, et al: Quantitative contrast-enhanced harmonic EUS in differential diagnosis of focal pancreatic masses (with videos). Gastrointest Endosc. 82:59–69. 2015. View Article : Google Scholar : PubMed/NCBI

17 

Kamata K, Kitano M, Omoto S, Kadosaka K, Miyata T, Yamao K, Imai H, Sakamoto H, Harwani Y, Chikugo T, et al: Contrast-enhanced harmonic endoscopic ultrasonography for differential diagnosis of pancreatic cysts. Endoscopy. 48:35–41. 2016.PubMed/NCBI

18 

Iordache S, Costache MI, Popescu CF, Streba CT, Cazacu S and Săftoiu A: Clinical impact of EUS elastography followed by contrast-enhanced EUS in patients with focal pancreatic masses and negative EUS-guided FNA. Med Ultrason. 18:18–24. 2016. View Article : Google Scholar : PubMed/NCBI

19 

Uekitani T, Kaino S, Harima H, Suenaga S, Sen-Yo M and Sakaida I: Efficacy of contrast-enhanced harmonic endoscopic ultrasonography in the diagnosis of pancreatic ductal carcinoma. Saudi J Gastroenterol. 22:198–202. 2016. View Article : Google Scholar : PubMed/NCBI

20 

Krishna SG and Lee JH: Endosonography in solid and cystic pancreatic tumors. J Interv Gastroenterol. 1:193–201. 2011. View Article : Google Scholar : PubMed/NCBI

21 

Kim J: Endoscopic ultrasound-guided treatment of pancreatic cystic and solid masses. Clin Endosc. 48:308–311. 2015. View Article : Google Scholar : PubMed/NCBI

22 

Eloubeidi MA, Jhala D, Chhieng DC, Chen VK, Eltoum I, Vickers S, Mel Wilcox C and Jhala N: Yield of endoscopic ultrasound-guided fine-needle aspiration biopsy in patients with suspected pancreatic carcinoma. Cancer. 99:285–292. 2003. View Article : Google Scholar : PubMed/NCBI

23 

Sakamoto H, Kitano M, Suetomi Y, Maekawa K, Takeyama Y and Kudo M: Utility of contrast-enhanced endoscopic ultrasonography for diagnosis of small pancreatic carcinomas. Ultrasound Med Biol. 34:525–532. 2008. View Article : Google Scholar : PubMed/NCBI

24 

Dietrich CF, Ignee A and Frey H: Contrast-enhanced endoscopic ultrasound with low mechanical index: A new technique. Z Gastroenterol. 43:1219–1223. 2005. View Article : Google Scholar : PubMed/NCBI

25 

Wu RI, Yoon WJ, Brugge WR, Mino-Kenudson M and Pitman MB: Endoscopic ultrasound-guided fine needle aspiration (EUS-FNA) contributes to a triple-negative test in preoperative screening of pancreatic cysts. Cancer Cytopathol. 122:412–419. 2014. View Article : Google Scholar : PubMed/NCBI

26 

Wang Y, Yan K, Fan Z, Sun L, Wu W and Yang W: Contrast- enhanced ultrasonography of pancreatic carcinoma: Correlation with pathologic findings. Ultrasound Med Biol. 42:891–898. 2016. View Article : Google Scholar : PubMed/NCBI

Related Articles

Journal Cover

October 2019
Volume 11 Issue 4

Print ISSN: 2049-9450
Online ISSN:2049-9469

Sign up for eToc alerts

Recommend to Library

Copy and paste a formatted citation
APA
Li, Y., Jin, H., Liao, D., Qian, B., Zhang, Y., Xu, M., & Han, S. (2019). Contrast‑enhanced harmonic endoscopic ultrasonography for the differential diagnosis of pancreatic masses: A systematic review and meta‑analysis. Molecular and Clinical Oncology, 11, 425-433. https://doi.org/10.3892/mco.2019.1908
MLA
Li, Y., Jin, H., Liao, D., Qian, B., Zhang, Y., Xu, M., Han, S."Contrast‑enhanced harmonic endoscopic ultrasonography for the differential diagnosis of pancreatic masses: A systematic review and meta‑analysis". Molecular and Clinical Oncology 11.4 (2019): 425-433.
Chicago
Li, Y., Jin, H., Liao, D., Qian, B., Zhang, Y., Xu, M., Han, S."Contrast‑enhanced harmonic endoscopic ultrasonography for the differential diagnosis of pancreatic masses: A systematic review and meta‑analysis". Molecular and Clinical Oncology 11, no. 4 (2019): 425-433. https://doi.org/10.3892/mco.2019.1908