Literature DB >> 17536275

[Characterization and diagnostic accuracy of serous cystadenomas and mucinous neoplasms of the pancreas with multi-slice helical computed tomography].

Dong Yuan1, Wei Yu, Xiao-Bo Ren, Wei-Dong Pan, Li-Hua Zhang.   

Abstract

OBJECTIVE: To evaluate the feasibility of using multi-slice helical computed tomography (MS-CT) to accurately distinguish serous cystadenomas from mucinous cystadenomas or cystadenocarcinomas of the pancreas and to determine their radiographic appearances that can be applied for differentiative diagnosis.
METHODS: We performed a single-blind retrospective analysis of CT images of 30 patients with pathologically proven primary cystic pancreatic neoplasms (12 cases of serous cystadenomas, 14 cases of mucinous cystadenomas, and 4 cases of mucinous cystadenocarcinomas) to reach a diagnosis of either serous cystadenoma or mucinous cystic tumor. CT features such as tumor location, septations, presence of calcification, features of cystic wall, papillary excrescences, and size of the largest cyst were recorded. Statistical analysis was performed to evaluate the efficacy of certain CT findings in the differentiation of serous cystadenomas and mucinous neoplasms.
RESULTS: Totally 9 (75.0%) serous cystadenomas and 16 (88.9%) mucinous tumors were correctly diagnosed. Three serous cystadenomas were misdiagnosed as mucinous cystadenomas, while 2 mucinous neoplasms were misdiagnosed as serous cystadenomas. And 9 (75.0%) serous cystadenomas were located at the pancreatic head and neck areas, while 12 (66.7%) mucinous neoplasms were located at the pancreatic body and tail areas (P < 0.05). The presence of calcification, especially central calcification, had statistical significance in differentiating serous cystadenoma from mucinous neoplasms (P < 0.05). The size of the largest cyst over 2 cm was positive associated with mucinous neoplasms (P < 0.05).
CONCLUSION: CT characteristics between serous cystadenomas and mucinous neoplasms of the pancreas have distinct difference, which validates the values of CT in differentiating these tumors. However, atypical CT appearances may compromise its diagnostic accuracy.

Entities:  

Mesh:

Year:  2007        PMID: 17536275

Source DB:  PubMed          Journal:  Zhongguo Yi Xue Ke Xue Yuan Xue Bao        ISSN: 1000-503X


  3 in total

Review 1.  Imaging modalities for characterising focal pancreatic lesions.

Authors:  Lawrence Mj Best; Vishal Rawji; Stephen P Pereira; Brian R Davidson; Kurinchi Selvan Gurusamy
Journal:  Cochrane Database Syst Rev       Date:  2017-04-17

2.  Predictive value of multi-detector computed tomography for accurate diagnosis of serous cystadenoma: radiologic-pathologic correlation.

Authors:  Anjuli A Shah; Nisha I Sainani; Avinash Ramesh Kambadakone; Zarine K Shah; Vikram Deshpande; Peter F Hahn; Dushyant V Sahani
Journal:  World J Gastroenterol       Date:  2009-06-14       Impact factor: 5.742

3.  Application of CT-Based Radiomics in Discriminating Pancreatic Cystadenomas From Pancreatic Neuroendocrine Tumors Using Machine Learning Methods.

Authors:  Xuejiao Han; Jing Yang; Jingwen Luo; Pengan Chen; Zilong Zhang; Aqu Alu; Yinan Xiao; Xuelei Ma
Journal:  Front Oncol       Date:  2021-07-22       Impact factor: 6.244

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.