Literature DB >> 33672085

Role of Endoscopic Ultrasound in the Diagnosis of Pancreatic Neuroendocrine Neoplasms.

Tatsuya Ishii1, Akio Katanuma1, Haruka Toyonaga1, Koki Chikugo1, Hiroshi Nasuno1, Toshifumi Kin1, Tsuyoshi Hayashi1, Kuniyuki Takahashi1.   

Abstract

Although pancreatic neuroendocrine neoplasms (PNENs) are relatively rare tumors, their number is increasing with advances in diagnostic imaging modalities. Even small lesions that are difficult to detect using computed tomography or magnetic resonance imaging can now be detected with endoscopic ultrasound (EUS). Contrast-enhanced EUS is useful, and not only diagnosis but also malignancy detection has become possible by evaluating the vascularity of tumors. Pathological diagnosis using EUS with fine-needle aspiration (EUS-FNA) is useful when diagnostic imaging is difficult. EUS-FNA can also be used to evaluate the grade of malignancy. Pooling the data of the studies that compared the PNENs grading between EUS-FNA samples and surgical specimens showed a concordance rate of 77.5% (κ-statistic = 0.65, 95% confidence interval = 0.59-0.71, p < 0.01). Stratified analysis for small tumor size (2 cm) showed that the concordance rate was 84.5% and the kappa correlation index was 0.59 (95% confidence interval = 0.43-0.74, p < 0.01). The evolution of ultrasound imaging technologies such as contrast-enhanced and elastography and the artificial intelligence that analyzes them, the evolution of needles, and genetic analysis, will further develop the diagnosis and treatment of PNENs in the future.

Entities:  

Keywords:  endoscopic ultrasound; pancreatic neuroendocrine neoplasms; pancreatic tumor

Year:  2021        PMID: 33672085     DOI: 10.3390/diagnostics11020316

Source DB:  PubMed          Journal:  Diagnostics (Basel)        ISSN: 2075-4418


  2 in total

1.  A New Preoperative Scoring System for Predicting Aggressiveness of Non-Functioning Pancreatic Neuroendocrine Neoplasms.

Authors:  Tetsuya Takikawa; Kazuhiro Kikuta; Shin Hamada; Kiyoshi Kume; Shin Miura; Naoki Yoshida; Yu Tanaka; Ryotaro Matsumoto; Mio Ikeda; Fumiya Kataoka; Akira Sasaki; Hidehiro Hayashi; Waku Hatta; Yohei Ogata; Kei Nakagawa; Michiaki Unno; Atsushi Masamune
Journal:  Diagnostics (Basel)       Date:  2022-02-03

2.  Prediction of Pancreatic Neuroendocrine Tumor Grading Risk Based on Quantitative Radiomic Analysis of MR.

Authors:  Wei Li; Chao Xu; Zhaoxiang Ye
Journal:  Front Oncol       Date:  2021-11-17       Impact factor: 6.244

  2 in total

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