Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Diagnostic value of endoscopic ultrasound for insulinoma localization: A systematic review and meta-analysis

  • Hao Wang ,

    Roles Conceptualization, Software, Writing – original draft, Writing – review & editing

    wanghaodl@126.com (HW); dujianling63@163.com (JLD)

    Affiliation Department of Endocrinology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning Province, China

  • Ying Ba,

    Roles Writing – original draft

    Affiliation Department of Endocrinology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning Province, China

  • Qian Xing,

    Roles Writing – original draft

    Affiliation Department of Endocrinology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning Province, China

  • Jian-ling Du

    Roles Conceptualization, Writing – review & editing

    wanghaodl@126.com (HW); dujianling63@163.com (JLD)

    Affiliation Department of Endocrinology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning Province, China

Diagnostic value of endoscopic ultrasound for insulinoma localization: A systematic review and meta-analysis

  • Hao Wang, 
  • Ying Ba, 
  • Qian Xing, 
  • Jian-ling Du
PLOS
x

Abstract

Background

Previous studies reported varies parameters of endoscopic ultrasound (EUS) for the localization of insulinomas, the purpose of this meta-analysis based on published studies to accuracy the diagnostic value of EUS.

Methods

PubMed, Embase, Web of science, Cochrane library and Wanfang digital database were searched to identify published studies up to April 2018, which diagnostic insulinoma by using EUS. Retrieved sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR) and receiver operating characteristic (ROC) curves data were summarized for meta-analysis.

Results

A total of 9 studies involved a total of 350 patients were included in final analysis. The summary sensitivity, specificity, PLR, and NLR were 0.81 (95%CI: 0.75–0.86), 0.90 (95%CI: 0.84–0.94), 7.90 (95%CI: 4.9–12.8), and 0.21 (95%CI: 0.16–0.29), respectively. Further, the pooled DOR was 37.00 (95%CI:19.55–70.04) and area under the ROC was 0.92 (95%CI: 0.90–0.84).

Conclusion

The findings of this study demonstrate that EUS should be a routine diagnosis approach for the preoperative localization of insulinomas.

Introduction

Insulinoma is the most common neuroendocrine neoplasm, which account for 1–10 new cases per million annual incidence worldwide [1]. The clinical manifest of insulinoma included varying degrees of hypoglycemia symptoms, including fasting symptoms of hypoglycemia, low blood glucose level, and symptomatic relief with glucose administration. This disease significantly affect the quality of life and even caused life-threatening events. Therefore, early diagnosis and treatment of insulinoma are critical. Currently, surgical removal of the neoplasm is the primary procedure in treatment of insulinoma, and preoperative insulinoma localization is necessary [2,3].

Insulinoma is usually small and benign, while high accuracy diagnostic method remains unclear [46]. Traditional imaging methods including ultrasound, magnetic resonance imaging, and computed tomography-negative were difficult accuracy localization of insulinoma. Although high accuracy rate of digital subtraction angiography and arterial stimulation of venous blood test for localization of insulinoma, while these two procedures were invasive and determined by expert technical skills. Nowadays, endoscopic ultrasonography (EUS) is widely used for diagnosis of insulinoma, which associated with minimally invasive and could acquired high accuracy rate. However, the diagnostic parameters are varies among previous studies. We therefore conducted this meta-analysis to evaluate the diagnostic value of EUS for localization of insulinoma, and to compare the diagnostic parameters according to study and patients characteristics.

Methods

Data sources, search strategy, and selection criteria

Our present study was performed in accordance with the guidelines for the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) [7]. We performed electronic searches in PubMed, Embase, Web of Science, Cochrane Library and Wanfang digital database through April 2018 to identify studies of EUS in diagnosis in localization of insulinoma. The following search terms were used: endoscopic ultrasound, endoscopic ultrasonography, insulinoma, localization, and pancreatic tumor. The applications of search strategy in various databases were as follows: PubMed:("Endosonography"[Mesh]) AND "Insulinoma" [Mesh]); Embase: Emtree term-exploded = (insulinoma AND endoscopic ultrasound); Web of Science: TS = (insulinoma AND endoscopic ultrasound); Cochrane Library and WanFang: keyword = (insulinoma AND endoscopic ultrasound). The additional publications in reference lists and citation sections of recovered articles were also searched. There were no restricted on publication status and publication language.

The literature search, and study selection were independently undertaken by 2 authors, and any inconsistencies were resolved by the primary author until a consensus was reached. Studies were included if the study met the following criteria: (1) Patients satisfied the symptoms of having Whipple triad and were suspected of having insulinomas; (2) Insulinoma patients were confirmed by postoperative pathology; and (3) the study provided true positive, false positive, false negative, true negative. The exclusion criteria included (1) Lack of postoperative pathology. (2) Incomplete clinical data. (3) un-extractable four-fold table. (4) duplicate reports. (5) Animal experiments.

Data collection and quality assessment

Two authors reviewed the abstract first independently and then summarized the full selected studies. Any inconsistencies were settled by group discussion until a consensus was reached. The relevant data abstracted are listed as follows: first author’s name, publication year, country, study design, gold standard, apparatus, methods, true and false positive and negative. Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool was used to evaluate the quality of the studies included in this meta-analysis independently by the two authors [8,9]. This method consisted of 4 components: selection of cases, trials to be assessed, gold standard, as well as flowchart and progress of cases. Each of the assessment has seven items and response as “yes”, “no”, or “uncertainty”. The answer of “yes” means that a study’s risk bias can be judged as low, while “no” and “uncertainty” mean that the risk of bias can be judged as high.

Statistical analysis

Revman5.3 was used for quality assessment, while other analysis was conducted using Stata software. The sensitivity, specificity, PLR, NLR and corresponding 95% confidence intervals (CIs) were calculated from true positive, false positive, false negative, and true negative, which was extracted from each study before data pooling. The bivariate random effects [10] was applied to summarize sensitivity, specificity, PLR, NLR, and the hierarchical regression model was used to summary receiver operating characteristic (SROC) curve and the area under the ROC [11]. Q statistic and I-square were used to estimate the heterogeneity of individual study contributing to the pooled estimate. P >0.10 indicated no significant heterogeneity, while P ≤0.10 indicated significant heterogeneity for the Q statistic [12,13]. A fixed-effect model was used if there was low heterogeneity between the studies (P> 0.05, I-square<50%) and a random effect model was used if the heterogeneity was high (P< 0.05, I-square > 50%).Meta-regression analyses were conducted for DOR on the basis of study design, year of publication, enrolled population, ethnicity and diagnostic methods [14]. Deeks’ asymmetry test was used to evaluate potential publication bias [15]. All reported P values are two-sided, and p <0.05 was considered statistically significant for pooled diagnostic parameters.

Results

The results of the study-selection process are shown in Fig 1. The initial electronic research identified 829 articles, of which 320 articles were excluded due to duplication. Further 443 articles were excluded due to irrelevance (removed after reading the titles and abstracts). A total of 66 potentially eligible studies were selected; after reviewing the full text of each study and browsing the results, 57 articles were excluded due to incomplete data, lacking of gold standards, and incomplete description of the trials (removed after reading the full manuscript). Finally, 9 studies with a total of 350 patients were included in this systematic review and meta-analysis [1624]. The characteristics of the included studies are listed in Table 1. The included studies published between 1992–2009. Four studies were conducted in Europe [1619], 2 studies were conducted in USA or Brazil [20,21], and the remaining 3 studies were conducted in Asia [2224]. Four of included studies with prospective design [16,19,23,24], and the remaining 5 studies with retrospective design [17,18,2022].

The quality assessment results of the included studies are shown in Fig 2.

The summary results for sensitivity and specificity are presented in Fig 3. The pooled sensitivity was 0.81 (95%CI 0.75–0.86), specificity was 0.90 (95%CI 0.84–0.94), PLR was 7.90 (95%CI 4.90–12.8), and NLR was 0.21(95%CI 0.16–0.29). Further, we noted the pooled DOR of EUS for localization of insulinoma was 37.00 (95%CI:19.55–70.04; Fig 4). Finally, The summary area under the ROC curve was 0.92 (95%CI: 0.90–0.84; Fig 5). Results of the heterogeneity (P = 0.04, I-square: 51.36) was calculated using the forest of DOR, and meta-regression was conducted based on study design, year of publication, enrolled population, ethnicity and diagnostic methods (Fig 6). The results suggested that heterogeneity was mainly derived from the study design. To review the spots in funnel plot was symmetry, and the Deeks’ asymmetry test showed no evidence of publication bias (p = 0.56; Fig 7).

Discussion

This is the first meta-analysis evaluate the diagnostic value of EUS for localization of insulinoma, and this study included 9 studies involved a total of 350 patients with a broad characteristics. The findings of this meta-analysis found the sensitivity and specificity of EUS for localization of insulinomas were 81% and 90% respectively, this results suggested a acceptable detection rate. Further, the high DOR suggested stronger discrimination ability for localization of insulinomas. In addition, the area under the ROC was 0.92, which indicated a high diagnostic accuracy rate. Therefore, EUS was associated with high diagnostic value for preoperative localization of insulinomas, and combined EUS with digital subtraction angiography and arterial stimulation of venous blood test to reduce the misdiagnosis rate and improve the diagnostic value for preoperative localization of insulinomas.

The pancreatic lesions using EUS with high resolution at close-ranges via transluminal sonography through the duodenum and gastric body, which was associated with detailed observation in target tissue and organs. However, previous study suggested the detected of insulinomas using EUS was determined by the location and size of the lesions. They point out the lesion in pancreatic head if easier observed than those in the tail of the pancreas and outside the pancreas [23]. However, the technical requirement in EUS is difficult due to it difficulty to find tiny lesions, tumors hidden in anatomical locations or other organs. The diagnostic value of EUS might affect in thin patients, female, and more younger patients [25,26].

The strengths of this study were that we followed a standard protocol and used a comprehensive search strategy. Furthermore, bivariate random effects model and hierarchical summary ROC analyses were also calculated. In addition, the large sample size was pooled and the findings of this study are more robust than any individual study. Finally, substantial heterogeneity was explored using meta-regression analyses, and indicated the heterogeneity was observed due to different study design.

The limitations of this study should be mentioned. First, the data abstracted for the details of patients characteristics were not available, which might affect the diagnostic value of EUS. Second, the analysis used summarized data, which restricted us conducting more detailed analysis. Finally, the current study based on published studies, and publication bias is inevitable problem.

The current study was first meta-analysis to determine the diagnostic value of EUS for localization of insulinomas, and suggested EUS was associated with high diagnostic value for localization of insulinomas. These findings needed further large-scale prospective study to verify and evaluated the diagnostic value of EUS in patients with specific characteristics.

References

  1. 1. Service FJ, McMahon MM, O'Brien PC, Ballard DJ. Functioning insulinoma—incidence, recurrence, and long-term survival of patients: a 60-year study. Mayo Clin Proc. 1991;66(7):711–719. pmid:1677058
  2. 2. Daggett PR, Goodburn EA, Kurtz AB, Le Quesne LP, Morris DV, Nabarro JD, et al. Is preoperative localisation of insulinomas necessary? Lancet 1981;1(8218):483–486. pmid:6110099
  3. 3. Ravi KL, Britton BJ. Surgical approach to insulinomas: are pre-operative localisation tests necessary? Ann R Coll Surg Engl. 2007;89(3):212–217. pmid:17394700
  4. 4. Faccioli N, Crippa S, Bassi C, D'Onofrio M. Contrast-enhanced ultrasonography of the pancreas. Pancreatology2009; 9(5):560–566. pmid:19657211
  5. 5. Coombes S, Eatock F, Henley R, Luzio SD. Use of Intraoperative Insulin assay for the localisation of Insulinoma. World Surg2009; 33(11): 969–971.
  6. 6. Anaye A, Mathieu A, Closset J, Bali MA, Metens T, Matos C. Successful preoperative localization of a small pancreatic lnsulinoma by diffusion-weighted MRI. Pancreas2009; 10(5): 528–531.
  7. 7. Moher D, Liberati A, Tetzlaff J, Altman DG, PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Med 2009; 6: e1000097. pmid:19621072
  8. 8. Whiting P, Rutjes AW, Reitsma JB, Bossuyt PM, Kleijnen J. The development of QUADAS: a tool for the quality assessment of studies of diagnostic accuracy included in systematic reviews. BMC Med Res Methodol2003;3:25. pmid:14606960
  9. 9. Whiting PF, Weswood ME, Rutjes AW, Reitsma JB, Bossuyt PN, Kleijnen J. Evaluation of QUADAS, a tool for the quality assessment of diagnostic accuracy studies. BMC Med Res Methodol 2006;6;9. pmid:16519814
  10. 10. DerSimonian R, Laird N. Meta-analysis in clinical trials. Control Clin Trials 1986;7(3):177–188. pmid:3802833
  11. 11. Walter SD. Properties of the summary receiver operatingcharacteristic (SROC) curve for diagnostic test data. Stat Med 2002; 9:1237–1256.
  12. 12. Deeks JJ, Higgins JPT, Altman DG. Analyzing data and undertaking meta-analyses. In: Higgins J, Green S, eds. Cochrane Handbook for Systematic Reviews of Interventions 5.0.1. Oxford, UK: The Cochrane Collaboration: 2008; chap 9.
  13. 13. Higgins JPT, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ 2003; 327: 557–60. pmid:12958120
  14. 14. Altman DG, Bland JM. Interaction revisited: the difference between two estimates. BMJ. 2003; 326: 219. pmid:12543843
  15. 15. Deeks JJ, Macaskill P, Irwig L. The performance of tests of publication bias and other sample size effects in systematic reviews of diagnostic test accuracy was assessed. J Clin Epidemiol 2005; 58: 882. pmid:16085191
  16. 16. Rosch T,Lightdale CJ, Botet JF, Boyce GA, Sivak MV Jr, Yasuda K, et al. Localization of pancreatic endocrine tumors by endoscopic ultrasonography. N Engl J Med 1992;326:1721–1726. pmid:1317506
  17. 17. Glover JR, Shorvon PJ, Lees WR. Endoscopic ultrasound for localization of islet cell tumours, Gut 1992;33:108–110. pmid:1310948
  18. 18. Pitre J,Soubrane O,Palazzo L, Chapuis Y. Endoscopic ultrasonography for the preoperative localization of insulinomas. Pancreas 1996;13:55–60. pmid:8783334
  19. 19. Proye C, Malvaux P, Pattou F, Filoche B, Godchaux JM, Maunoury V, et al. Noninvasive imaging of insulinoma and gastrinomas with endoscopic ultrasonography and somatostatin receptor scintigraphy. Surgery 1998;124:1134–1143. pmid:9854595
  20. 20. Anderson MA, Carpent S, Thompson NW, Nostrant TT, Elta GH, Scheiman JM. Endoscopic ultrasound in highly accurate and directs management in patient with neuroendocrine tumors of the pancreas. Am J Gastroenterol. 2000;95:2271–2277. pmid:11007228
  21. 21. Ardengh JC, de Paulo GA, Ferrari AP. EUS-guided FNA in the diagnogsis of pancreatic neuroendocrine tumors before surgery. GastrointestEndosc2004;60:378–384.
  22. 22. Wang GJ, Dou JT, Wang ZQ, Lu JM. Comparison of endoscopic ultrasonography and digital subtracation angiography in localization of insuinlomas. Chin PractMed J 2006,22:1829–1830.
  23. 23. Sotoudehmanesh R, Hedayat A, Shirazian N, Shahraeeni S, Ainechi S, Zeinali F, et al. Endoscopic ultrasonography in the localization of insulinoma. Endocri 2007; 31:238–241.
  24. 24. Xue HD,Liu W,Sun H,Wang X,Chen Y,Jin ZY, et al. MDCT vs endoscopic sonography: comparison in preoperative localization of insulinomas. Chin J Med Imag2009;17:269–272.
  25. 25. Kann PH,Rothmund M,Zielke A. Endoscopic ultrasound imaging of insulinomas: limitations and clinical relevance. Exp ClinEndocrinol Diabetes 2005; 113(8):471–474.
  26. 26. Kann PH, Ivan D,Pfützner A, Forst T, Langer P, Schaefer S. Preoperative diagnosis of insulinoma: low body mass index, young age, and female gender are associated with negative imaging by endoscopic ultrasound. EurJ Endocrinol 2007; 157(2): 209–213.