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Contrast-enhanced harmonic endoscopic ultrasound using time–intensity curve analysis predicts pathological grade of pancreatic neuroendocrine neoplasm

  • Original Article–Gastroentology
  • Published:
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Abstract

Purpose

Histological grading is important for the treatment algorithm in pancreatic neuroendocrine neoplasms (PNEN). The present study examined the efficacy of contrast-enhanced harmonic endoscopic ultrasound (CH-EUS) and time–intensity curve (TIC) analysis of PNEN diagnosis and grading.

Methods

TIC analysis was performed in 30 patients using data obtained from CH-EUS, and a histopathological diagnosis was made via EUS-guided fine-needle aspiration or surgical resection. The TIC parameters were analyzed by dividing them into G1/G2 and G3/NEC groups. Then, patients were classified into non-aggressive and aggressive groups and evaluated.

Results

Twenty-six patients were classified as G1/G2, and four as G3/NEC. From the TIC analysis, five parameters were obtained (I: echo intensity change, II: time for peak enhancement, III: speed of contrast, IV: decrease rate for enhancement, and V: enhancement ratio for node/pancreatic parenchyma). Three of these parameters (I, IV, and V) showed high diagnostic performance. Using the cutoff value obtained from the receiver-operating characteristic (ROC) analysis, the correct diagnostic rates of parameters I, IV, and V were 96.7%, 100%, and 100%, respectively, between G1/G2 and G3/NEC. A total of 21 patients were classified into the non-aggressive group, and nine into the aggressive group. Using the cutoff value obtained from the ROC analysis, the accurate diagnostic rates of I, IV, and V were 86.7%, 86.7%, and 88.5%, respectively, between the non-aggressive and aggressive groups.

Conclusion

CH-EUS and TIC analysis showed high diagnostic accuracy for grade diagnosis of PNEN. Quantitative perfusion analysis is useful to predict PNEN grade diagnosis preoperatively.

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References

  1. Jung JG, Lee KT, Woo YS, et al. Behavior of small, asymptomatic, nonfunctioning pancreatic neuroendocrine tumors (NF-PNETs). Medicine. 2015;94:e983.

    Article  Google Scholar 

  2. Ito T, Sasano H, Tanaka M, et al. Epidemiological study of gastroenteropancreatic neuroendocrine tumors in Japan. J Gastroenterol. 2010;45:234–43.

    Article  Google Scholar 

  3. Kitano M, Kudo M, Yamao K, et al. Characterization of small solid tumors in the pancreas: the value of contrast-enhanced harmonic endoscopic ultrasonography. Am J Gastroenterol. 2012;107:303–10.

    Article  Google Scholar 

  4. Matsubara H, Itoh A, Kawashima H, et al. Dynamic quantitative evaluation of contrast-enhanced endoscopic ultrasonography in the diagnosis of pancreatic disease. Pancreas. 2011;40:1073–9.

    Article  Google Scholar 

  5. Falconia M, Erikssonb B, Kaltsasc G, et al. Consensus guidelines update for the management of functional p-NETs (F-p-NETs) and non-functional p-NETs (NF-p-NETs). Neuroendocrinology. 2016;103:153–71.

    Article  Google Scholar 

  6. Alexiev BA, Darwin PE, Goloubeva O, et al. Proliferative rate in endoscopic ultrasound fine-needle aspiration of pancreatic endocrine tumors. Cancer Cytopathol. 2009;117:40–5.

    Article  Google Scholar 

  7. Fujimori N, Osoegawa T, Lee L, et al. Efficacy of endoscopic ultrasonography and endoscopic ultrasonography-guided fine-needle aspiration for the diagnosis and grading of pancreatic neuroendocrine tumors. Scand J Gastroenterol. 2016;51:245–52.

    Article  Google Scholar 

  8. Hasegawa T, Yamao K, Hijioka S, et al. Evaluation of Ki-67 index in EUS–FNA specimens for the assessment of malignancy risk in pancreatic neuroendocrine tumors. Endoscopy. 2014;46:32–8.

    Article  Google Scholar 

  9. Sugimoto M, Takagi T, Hikichi T, et al. Efficacy of endoscopic ultrasonography-guided fine needle aspiration for pancreatic neuroendocrine tumor grading. World J Gastroenterol. 2015;21:8118–24.

    Article  Google Scholar 

  10. Yang Z, Tang LH, Klimstra DS, et al. Effect of tumor heterogeneity on the assessment of Ki67 labeling index in well-differentiated neuroendocrine tumors metastatic to the liver: implications for prognostic stratification. Am J Surg Pathol. 2011;35:853–60.

    Article  Google Scholar 

  11. Zhang Q, Yuan C, Dai W, et al. Evaluating pathologic response of breast cancer to neoadjuvant chemotherapy with computer-extracted features from contrast-enhanced ultrasound videos. Phys Med. 2017;39:156–63.

    Article  Google Scholar 

  12. King KG, Gulati M, Malhi H, et al. Quantitative assessment of solid renal masses by contrast-enhanced ultrasound with time-intensity curves: how we do it. Abdom Imaging. 2015;40:2461–71.

    Article  Google Scholar 

  13. Jung EM, Clevert DA, Schreyer AG, et al. Evaluation of quantitative contrast harmonic imaging to assess malignancy of liver tumors: a prospective controlled two-center study. World J Gastroenterol. 2007;13:6356–64.

    Article  CAS  Google Scholar 

  14. Omoto S, Takenaka M, Kitano M, et al. Characterization of pancreatic tumors with quantitative perfusion analysis in contrast-enhanced harmonic endoscopic ultrasonography. Oncology. 2017;93:55–60.

    Article  Google Scholar 

  15. Yamamoto N, Kato H, Tomoda T, et al. Contrast-enhanced harmonic endoscopic ultrasonography with time-intensity curve analysis for intraductal papillary mucinous neoplasms of the pancreas. Endoscopy. 2016;48:1–10.

    Article  Google Scholar 

  16. Ishikawa T, Itoh A, Kawashima H, et al. Usefulness of EUS combined with contrast-enhancement in the differential diagnosis of malignant versus benign and preoperative localization of pancreatic endocrine tumors. Gastrointest Endosc. 2010;71:951–9.

    Article  Google Scholar 

  17. Palazzo M, Napoléon B, Gincul R, et al. Contrast harmonic EUS for the prediction of pancreatic neuroendocrine tumor aggressiveness (with videos). Gastrointest Endosc. 2018;87:1481–8.

    Article  Google Scholar 

  18. Capelli P, Fassan M, Scarpa A, et al. Pathology—grading and staging of GEP-NETs. Best Pract Res Clin Gastroenterol. 2012;26:705–17.

    Article  Google Scholar 

  19. Larghi A, Capurso G, Carnuccio A, et al. Ki-67 grading of nonfunctioning pancreatic neuroendocrine tumors on histologic samples obtained by EUS-guided fine-needle tissue acquisition: a prospective study. Gastrointest Endosc. 2012;76:570–7.

    Article  Google Scholar 

  20. Farrell JM, Pang JC, Kim GE, et al. Pancreatic neuroendocrine tumors: accurate grading with Ki-67 index on fine-needle aspiration specimens using the WHO 2010/ENETS criteria. Cancer Cytopathol. 2014;122:770–8.

    Article  Google Scholar 

  21. Marion-Audibert AM, Barel C, Gouysse G, et al. Low microvessel density is an unfavorable histoprognostic factor in pancreatic endocrine tumors. Gastroenterology. 2003;125:1094–104.

    Article  Google Scholar 

  22. Couvelard A, O’Toole D, Turley H, et al. Microvascular density and hypoxia-inducible factor pathway in pancreatic endocrine tumours: negative correlation of microvascular density and VEGF expression with tumour progression. Br J Cancer. 2005;92:94–101.

    Article  CAS  Google Scholar 

  23. Singhi AD, Chu LC, Tatsas AD, et al. Cystic pancreatic neuroendocrine tumors: a clinicopathologic study. Am J Surg Pathol. 2012;36:1666–73.

    Article  Google Scholar 

  24. Koh YX, Chok AY, Zheng HL, Tan CS, Goh BK. A systematic review and meta-analysis of the clinicopathologic characteristics of cystic versus solid pancreatic neuroendocrine neoplasms. Surgery. 2014;156:e2.

    Article  Google Scholar 

  25. Cloyd JM, Kopecky KE, Norton JA, et al. Neuroendocrine tumors of the pancreas: degree of cystic component predicts prognosis. Surgery. 2016;160:708–13.

    Article  Google Scholar 

  26. Kuiper P, Hawinkels LJAC, de Jonge-Muller ESM, et al. Angiogenic markers endoglin and vascular endothelial growth factor in gastroenteropancreatic neuroendocrine tumors. World J Gastroenterol. 2011;17:219–25.

    Article  Google Scholar 

  27. Horiguchi S, Kato H, Shiraha H, et al. Dynamic computed tomography is useful for prediction of pathological grade in pancreatic neuroendocrine neoplasm. J Gastroenterol Hepatol. 2017;32:925–31.

    Article  CAS  Google Scholar 

  28. Jiang J, Shang X, Zhang H, et al. Correlation between maximum intensity and microvessel density for differentiation of malignant from benign thyroid nodules on contrast-enhanced sonography. J Ultrasound Med. 2014;33:1257–63.

    Article  Google Scholar 

  29. Wang Y, Li L, Wang YX, et al. Time-intensity curve parameters in rectal cancer measured using endorectal ultrasonography with sterile coupling gels filling the rectum: correlations with tumor angiogenesis and clinicopathological features. Biomed Res Int. 2014;2014:587806.

    PubMed  PubMed Central  Google Scholar 

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Acknowledgements

We gratefully acknowledge the work of past and present members of our laboratory.

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Correspondence to Hironari Kato.

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The authors have no conflicts of interest directly relevant to the content of this article.

Ethical statements

All the procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1964 and later versions. Informed consent was obtained from all the patients for being included in the study.

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Takada, S., Kato, H., Saragai, Y. et al. Contrast-enhanced harmonic endoscopic ultrasound using time–intensity curve analysis predicts pathological grade of pancreatic neuroendocrine neoplasm. J Med Ultrasonics 46, 449–458 (2019). https://doi.org/10.1007/s10396-019-00967-x

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  • DOI: https://doi.org/10.1007/s10396-019-00967-x

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