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Takada, Saimon Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences ORCID
Kato, Hironari Department of Gastroenterology and HepatologyOkayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences Kaken ID researchmap
Saragai, Yosuke Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences
Muro, Shinichiro Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences
Uchida, Daisuke Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences
Tomoda, Takeshi Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences
Matsumoto, Kazuyuki Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences ORCID Kaken ID publons
Horiguchi, Shigeru Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences
Tanaka, Noriyuki Department of Pathology, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences
Okada, Hiroyuki Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences Kaken ID publons researchmap
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.
Keywords
Contrast-enhanced harmonic endoscopic ultrasound (CH-EUS)
Pancreatic neuroendocrine neoplasm (PNEN)
Time–intensity curve (TIC) analysis
Note
This is a post-peer-review, pre-copyedit version of an article published in Journal of Medical Ultrasonics. The final authenticated version is available online at: http://dx.doi.org/10.1007/s10396-019-00967-x.
Published Date
2019-08-03
Publication Title
Journal of Medical Ultrasonics
Volume
volume46
Issue
issue4
Publisher
Springer
Start Page
449
End Page
458
ISSN
1346-4523
NCID
AA11563281
Content Type
Journal Article
language
英語
OAI-PMH Set
岡山大学
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author
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DOI
Web of Science KeyUT
Related Url
isVersionOf https://doi.org/10.1007/s10396-019-00967-x
License
https://creativecommons.org/licenses/by-nc-nd/4.0/deed.ja
Citation
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) doi:10.1007/s10396-019-00967-x