Literature DB >> 26516428

Diffusion-weighted imaging of pancreatic cancer.

Riccardo De Robertis1, Paolo Tinazzi Martini1, Emanuele Demozzi1, Flavia Dal Corso1, Claudio Bassi1, Paolo Pederzoli1, Mirko D'Onofrio1.   

Abstract

Magnetic resonance imaging (MRI) is a reliable and accurate imaging method for the evaluation of patients with pancreatic ductal adenocarcinoma (PDAC). Diffusion-weighted imaging (DWI) is a relatively recent technological improvement that expanded MRI capabilities, having brought functional aspects into conventional morphologic MRI evaluation. DWI can depict the random diffusion of water molecules within tissues (the so-called Brownian motions). Modifications of water diffusion induced by different factors acting on the extracellular and intracellular spaces, as increased cell density, edema, fibrosis, or altered functionality of cell membranes, can be detected using this MR sequence. The intravoxel incoherent motion (IVIM) model is an advanced DWI technique that consent a separate quantitative evaluation of all the microscopic random motions that contribute to DWI, which are essentially represented by molecular diffusion and blood microcirculation (perfusion). Technological improvements have made possible the routine use of DWI during abdominal MRI study. Several authors have reported that the addition of DWI sequence can be of value for the evaluation of patients with PDAC, especially improving the staging; nevertheless, it is still unclear whether and how DWI could be helpful for identification, characterization, prognostic stratification and follow-up during treatment. The aim of this paper is to review up-to-date literature data regarding the applications of DWI and IVIM to PDACs.

Entities:  

Keywords:  Diffusion magnetic resonance imaging; Magnetic resonance imaging; Pancreas; Pancreatic ductal carcinoma; Pancreatic neoplasms

Year:  2015        PMID: 26516428      PMCID: PMC4620112          DOI: 10.4329/wjr.v7.i10.319

Source DB:  PubMed          Journal:  World J Radiol        ISSN: 1949-8470


  74 in total

1.  Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas.

Authors:  T Sugahara; Y Korogi; M Kochi; I Ikushima; Y Shigematu; T Hirai; T Okuda; L Liang; Y Ge; Y Komohara; Y Ushio; M Takahashi
Journal:  J Magn Reson Imaging       Date:  1999-01       Impact factor: 4.813

2.  Diffusion-weighted magnetic resonance imaging of pancreatic adenocarcinomas: association with histopathology and tumor grade.

Authors:  Yi Wang; Zongming E Chen; Paul Nikolaidis; Robert J McCarthy; Laura Merrick; Laura A Sternick; Jeanne M Horowitz; Vahid Yaghmai; Frank H Miller
Journal:  J Magn Reson Imaging       Date:  2011-01       Impact factor: 4.813

Review 3.  Diffusion-weighted MR imaging of the liver.

Authors:  Bachir Taouli; Dow-Mu Koh
Journal:  Radiology       Date:  2010-01       Impact factor: 11.105

4.  Differentiation of autoimmune pancreatitis from pancreatic cancer by diffusion-weighted MRI.

Authors:  Terumi Kamisawa; Kensuke Takuma; Hajime Anjiki; Naoto Egawa; Tastuo Hata; Masanao Kurata; Goro Honda; Kouji Tsuruta; Mizuka Suzuki; Noriko Kamata; Tsuneo Sasaki
Journal:  Am J Gastroenterol       Date:  2010-03-09       Impact factor: 10.864

5.  Contrast-enhanced CT and diffusion-weighted MR imaging: performance as a prognostic factor in patients with pancreatic ductal adenocarcinoma.

Authors:  Yoshihiko Fukukura; Koji Takumi; Michiyo Higashi; Hiroyuki Shinchi; Kiyohisa Kamimura; Tomohide Yoneyama; Akihiro Tateyama
Journal:  Eur J Radiol       Date:  2013-12-27       Impact factor: 3.528

6.  Short-term Results of a Magnetic Resonance Imaging-Based Swedish Screening Program for Individuals at Risk for Pancreatic Cancer.

Authors:  Marco Del Chiaro; Caroline S Verbeke; Nikolaos Kartalis; Raffaella Pozzi Mucelli; Peter Gustafsson; Johan Hansson; Stephan L Haas; Ralf Segersvärd; Åke Andren-Sandberg; J-Matthias Löhr
Journal:  JAMA Surg       Date:  2015-06       Impact factor: 14.766

7.  Detection of liver malignancy with gadoxetic acid-enhanced MRI: is addition of diffusion-weighted MRI beneficial?

Authors:  Young Kon Kim; Chong Soo Kim; Young Min Han; Young Hwan Lee
Journal:  Clin Radiol       Date:  2011-03-01       Impact factor: 2.350

8.  Diffusion-weighted magnetic resonance imaging for detecting lymph node metastasis of rectal cancer.

Authors:  Yo Mizukami; Shugo Ueda; Akiyoshi Mizumoto; Tetsuro Sasada; Ryosuke Okumura; Shigene Kohno; Arimichi Takabayashi
Journal:  World J Surg       Date:  2011-04       Impact factor: 3.352

9.  The effect of gadolinium chelate contrast agent on diffusion-weighted imaging of pancreatic ductal adenocarcinoma.

Authors:  Kefu Liu; Weijun Peng; Zhengrong Zhou
Journal:  Acta Radiol       Date:  2013-04-30       Impact factor: 1.990

10.  Discrimination of metastatic from hyperplastic pelvic lymph nodes in patients with cervical cancer by diffusion-weighted magnetic resonance imaging.

Authors:  Yun B Chen; Jiang Liao; Rong Xie; Gui L Chen; Gang Chen
Journal:  Abdom Imaging       Date:  2011-02
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  16 in total

Review 1.  Surveillance for neoplasia in the pancreas.

Authors:  Kasper A Overbeek; Djuna L Cahen; Marcia Irene Canto; Marco J Bruno
Journal:  Best Pract Res Clin Gastroenterol       Date:  2016-11-05       Impact factor: 3.043

Review 2.  Accuracy of quantitative diffusion-weighted imaging for differentiating benign and malignant pancreatic lesions: a systematic review and meta-analysis.

Authors:  LuShun Zhang; LongLin Yin; MeiLin Zhu; ChuanDe Zhang; JingXin Yan; Ju Sun; XinYi Zhao
Journal:  Eur Radiol       Date:  2021-04-13       Impact factor: 5.315

3.  Multiparametric PET/MR imaging biomarkers are associated with overall survival in patients with pancreatic cancer.

Authors:  Bang-Bin Chen; Yu-Wen Tien; Ming-Chu Chang; Mei-Fang Cheng; Yu-Ting Chang; Shih-Hung Yang; Chih-Horng Wu; Ting-Chun Kuo; I-Lun Shih; Ruoh-Fang Yen; Tiffany Ting-Fang Shih
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-02-23       Impact factor: 9.236

Review 4.  Diffusion magnetic resonance imaging: A molecular imaging tool caught between hope, hype and the real world of "personalized oncology".

Authors:  Abhishek Mahajan; Sneha S Deshpande; Meenakshi H Thakur
Journal:  World J Radiol       Date:  2017-06-28

Review 5.  Early Diagnosis to Improve the Poor Prognosis of Pancreatic Cancer.

Authors:  Masataka Kikuyama; Terumi Kamisawa; Sawako Kuruma; Kazuro Chiba; Shinya Kawaguchi; Shuzo Terada; Tatsunori Satoh
Journal:  Cancers (Basel)       Date:  2018-02-11       Impact factor: 6.639

6.  Evaluation of pancreatic tumor development in KPC mice using multi-parametric MRI.

Authors:  Ravneet Vohra; Joshua Park; Yak-Nam Wang; Kayla Gravelle; Stella Whang; Joo-Ha Hwang; Donghoon Lee
Journal:  Cancer Imaging       Date:  2018-11-08       Impact factor: 3.909

7.  Quantitative parameters of intravoxel incoherent motion diffusion weighted imaging (IVIM-DWI): potential application in predicting pathological grades of pancreatic ductal adenocarcinoma.

Authors:  Wanling Ma; Guangwen Zhang; Jing Ren; Qi Pan; Didi Wen; Jinman Zhong; Zhuoli Zhang; Yi Huan
Journal:  Quant Imaging Med Surg       Date:  2018-04

8.  Apparent Diffusion Coefficient (ADC) predicts therapy response in pancreatic ductal adenocarcinoma.

Authors:  M Trajkovic-Arsic; I Heid; K Steiger; A Gupta; A Fingerle; C Wörner; N Teichmann; S Sengkwawoh-Lueong; P Wenzel; A J Beer; I Esposito; R Braren; J T Siveke
Journal:  Sci Rep       Date:  2017-12-06       Impact factor: 4.379

Review 9.  Diffusion weighted magnetic resonance imaging of liver: Principles, clinical applications and recent updates.

Authors:  Anuradha Shenoy-Bhangle; Vinit Baliyan; Hamed Kordbacheh; Alexander R Guimaraes; Avinash Kambadakone
Journal:  World J Hepatol       Date:  2017-09-18

10.  Diffusion-Weighted and Dynamic Contrast-Enhanced MRI Derived Imaging Metrics for Stereotactic Body Radiotherapy of Pancreatic Ductal Adenocarcinoma: Preliminary Findings.

Authors:  Richard Kinh Do; Marsha Reyngold; Ramesh Paudyal; Jung Hun Oh; Amaresha Shridhar Konar; Eve LoCastro; Karyn A Goodman; Amita Shukla-Dave
Journal:  Tomography       Date:  2020-06
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