Literature DB >> 26777740

Pancreatic tumors imaging: An update.

Michele Scialpi1, Alfonso Reginelli2, Alfredo D'Andrea2, Sabrina Gravante1, Giuseppe Falcone1, Paolo Baccari3, Lucia Manganaro4, Barbara Palumbo1, Salvatore Cappabianca5.   

Abstract

Currently, ultrasound (US), computed tomography (CT) and Magnetic Resonance imaging (MRI) represent the mainstay in the evaluation of pancreatic solid and cystic tumors affecting pancreas in 80-85% and 10-15% of the cases respectively. Integration of US, CT or MR imaging is essential for an accurate assessment of pancreatic parenchyma, ducts and adjacent soft tissues in order to detect and to stage the tumor, to differentiate solid from cystic lesions and to establish an appropriate treatment. The purpose of this review is to provide an overview of pancreatic tumors and the role of imaging in their diagnosis and management. In order to a prompt and accurate diagnosis and appropriate management of pancreatic lesions, it is crucial for radiologists to know the key findings of the most frequent tumors of the pancreas and the current role of imaging modalities. A multimodality approach is often helpful. If multidetector-row CT (MDCT) is the preferred initial imaging modality in patients with clinical suspicion for pancreatic cancer, multiparametric MRI provides essential information for the detection and characterization of a wide variety of pancreatic lesions and can be used as a problem-solving tool at diagnosis and during follow-up.
Copyright © 2015. Published by Elsevier Ltd.

Entities:  

Keywords:  Contrast-enhanced ultrasound (CEUS); Magnetic resonance imaging (MRI); Multidetector-row computed tomography (MDCT); Multiparametric MRI; Pancreas; Pancreatic tumors; Positron emission tomography (PET); Split-bolus MDCT; Ultrasound (US)

Mesh:

Substances:

Year:  2016        PMID: 26777740     DOI: 10.1016/j.ijsu.2015.12.053

Source DB:  PubMed          Journal:  Int J Surg        ISSN: 1743-9159            Impact factor:   6.071


  13 in total

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Review 7.  Multidetector computer tomography in the pancreatic adenocarcinoma assessment: an update.

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8.  Two synchronous malignant tumors of the pancreas: a case report.

Authors:  W S L De Silva; A A Pathirana; I Prematilleke; S A P D Rajapakse; P S H Hettiarachchi; D S Manawasinghe; B K Dassanayake
Journal:  J Med Case Rep       Date:  2017-03-28

9.  Construction of a convolutional neural network classifier developed by computed tomography images for pancreatic cancer diagnosis.

Authors:  Han Ma; Zhong-Xin Liu; Jing-Jing Zhang; Feng-Tian Wu; Cheng-Fu Xu; Zhe Shen; Chao-Hui Yu; You-Ming Li
Journal:  World J Gastroenterol       Date:  2020-09-14       Impact factor: 5.742

10.  PET-based Treatment Response Assessment for Neoadjuvant Chemoradiation in Pancreatic Adenocarcinoma: An Exploratory Study.

Authors:  Entesar Dalah; An Tai; Kiyoko Oshima; William A Hall; Beth Erickson; X Allen Li
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