Literature DB >> 27567314

Pancreatic carcinoma: Key-points from diagnosis to treatment.

E Frampas1, A David2, N Regenet3, Y Touchefeu4, J Meyer2, O Morla2.   

Abstract

Pancreatic ductal carcinoma is one of the deadliest cancers in the world. The only hope for prolonged survival still remains surgery with complete R0 resection even if most patients will promptly develop metastases and/or local relapses. Due to the silent nature of the disease, fewer than 20% of patients are eligible for a curative-intent resection. As no gain in survival is expected in case of residual tumor, imaging plays a major role for diagnosis and staging to select patients who will undergo surgery. Multidetector-row computed tomography and magnetic resonance imaging are the key stones and radiologists must be aware of imaging protocols, standardized terms and critical points for structured reporting to assess the tumor staging, minimize potential the morbidity associated with surgery and offer patients the best therapeutic strategy. Copyright Â
© 2016. Published by Elsevier Masson SAS.

Entities:  

Keywords:  Abdomen; Ductal adenocarcinoma; Magnetic resonance imaging; Multidetector-row computed tomography; Pancreas

Mesh:

Year:  2016        PMID: 27567314     DOI: 10.1016/j.diii.2016.07.008

Source DB:  PubMed          Journal:  Diagn Interv Imaging        ISSN: 2211-5684            Impact factor:   4.026


  6 in total

1.  Targeting acquired oncogenic burden in resilient pancreatic cancer: a novel benefit from marine polyphenols.

Authors:  Sheeja Aravindan; Dinesh Babu Somasundaram; Somasundaram T Somasundaram; Mohan Natarajan; Terence S Herman; Natarajan Aravindan
Journal:  Mol Cell Biochem       Date:  2019-07-31       Impact factor: 3.396

2.  Computer-aided pancreas segmentation based on 3D GRE Dixon MRI: a feasibility study.

Authors:  Xiaoliang Gong; Chao Ma; Panpan Yang; Yufei Chen; Chaolin Du; Caixia Fu; Jian-Ping Lu
Journal:  Acta Radiol Open       Date:  2019-03-27

Review 3.  Recent advances in artificial intelligence for pancreatic ductal adenocarcinoma.

Authors:  Hiromitsu Hayashi; Norio Uemura; Kazuki Matsumura; Liu Zhao; Hiroki Sato; Yuta Shiraishi; Yo-Ichi Yamashita; Hideo Baba
Journal:  World J Gastroenterol       Date:  2021-11-21       Impact factor: 5.742

4.  Radiomic Features at CT Can Distinguish Pancreatic Cancer from Noncancerous Pancreas.

Authors:  Po-Ting Chen; Dawei Chang; Huihsuan Yen; Kao-Lang Liu; Su-Yun Huang; Holger Roth; Ming-Shiang Wu; Wei-Chih Liao; Weichung Wang
Journal:  Radiol Imaging Cancer       Date:  2021-07

5.  Facile assembly of upconversion nanoparticle-based micelles for active targeted dual-mode imaging in pancreatic cancer.

Authors:  Yong Han; Yanli An; Gang Jia; Xihui Wang; Chen He; Yinan Ding; Qiusha Tang
Journal:  J Nanobiotechnology       Date:  2018-01-29       Impact factor: 10.435

6.  PACAP and PAC1 receptor expression in pancreatic ductal carcinoma.

Authors:  Sandor Ferencz; Dora Reglodi; Balint Kaszas; Attila Bardosi; Denes Toth; Zsofia Vekony; Viktoria Vicena; Oszkar Karadi; Dezso Kelemen
Journal:  Oncol Lett       Date:  2019-10-08       Impact factor: 2.967

  6 in total

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