Literature DB >> 19672566

Pancreatic adenocarcinoma: dynamic 64-slice helical CT with perfusion imaging.

Jin Xu1, Zonghui Liang, Sijie Hao, Li Zhu, Maskay Ashish, Chen Jin, Deliang Fu, Quanxing Ni.   

Abstract

BACKGROUND: Perfusion CT is able to outline blood perfusion changes in a tissue. Thus, in lesions of the tissues of the pancreas, this offers to increase the accuracy of CT diagnosis. In this study, our aim was to explore the perfusion characteristics of normal pancreas and pancreatic adenocarcinoma.
METHODS: Dynamic 64-slice helical CT was conducted in 36 patients with non-pancreatic disease and in 40 patients with histopathologically proven pancreatic adenocarcinoma. Perfusion parameters including blood flow (BF), blood volume (BV), and permeability surface area product (PS) were recorded.
RESULTS: There was no significant difference noted between the distribution of BF, BV, and PS values in different regions of the pancreas, namely the head, neck, body, and tail (P > 0.05). The BF, BV, and PS of normal pancreas were recorded as 135.24 +/- 48.36 ml min(-1) 100 g(-1), 200.55 +/- 54.96 ml 100 g(-1), and 49.75 +/- 24.27 ml min(-1) 100 g(-1), respectively. BF, BV, and PS values of the tumor tissue of pancreatic adenocarcinoma decreased significantly compared to normal pancreas (P < 0.05).
CONCLUSIONS: Normal pancreas appears homogenous on perfusion CT. A significant decrease of BF, BV, and PS was observed in pancreatic adenocarcinoma. Dynamic 64-slice helical CT with perfusion imaging should be considered a potential modality to increase the accuracy of CT diagnosis for pancreatic adenocarcinoma.

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Year:  2009        PMID: 19672566     DOI: 10.1007/s00261-009-9564-1

Source DB:  PubMed          Journal:  Abdom Imaging        ISSN: 0942-8925


  14 in total

1.  Contrast enhanced ultrasound with quantitative perfusion analysis for objective characterization of pancreatic ductal adenocarcinoma: A feasibility study.

Authors:  Mirko D'Onofrio; Stefano Canestrini; Stefano Crosara; Riccardo De Robertis; Roberto Pozzi Mucelli
Journal:  World J Radiol       Date:  2014-03-28

2.  Perfusion CT estimates photosensitizer uptake and biodistribution in a rabbit orthotopic pancreatic cancer model: a pilot study.

Authors:  Jonathan T Elliott; Kimberley S Samkoe; Jason R Gunn; Errol E Stewart; Timothy B Gardner; Kenneth M Tichauer; Ting-Yim Lee; P Jack Hoopes; Stephen P Pereira; Tayyaba Hasan; Brian W Pogue
Journal:  Acad Radiol       Date:  2015-02-14       Impact factor: 3.173

3.  Combining in Vitro Diagnostics with in Vivo Imaging for Earlier Detection of Pancreatic Ductal Adenocarcinoma: Challenges and Solutions.

Authors:  Paul F Laeseke; Ru Chen; R Brooke Jeffrey; Teresa A Brentnall; Jürgen K Willmann
Journal:  Radiology       Date:  2015-12       Impact factor: 11.105

4.  Diagnostic value of CT perfusion imaging for parotid neoplasms.

Authors:  Y Dong; G-W Lei; S-W Wang; S-W Zheng; Y Ge; F-c Wei
Journal:  Dentomaxillofac Radiol       Date:  2013-11-01       Impact factor: 2.419

5.  Dynamic perfusion CT - A promising tool to diagnose pancreatic ductal adenocarcinoma.

Authors:  Inga Zaborienė; Giedrius Barauskas; Antanas Gulbinas; Povilas Ignatavičius; Saulius Lukoševičius; Kristina Žvinienė
Journal:  Open Med (Wars)       Date:  2021-02-05

6.  The primary study of low-dose pancreas perfusion by 640- slice helical CT: a whole-organ perfusion.

Authors:  Zhengwu Tan; Qi Miao; Xiaoling Li; Ke Ren; Yu Zhao; Li Zhao; Xuedan Li; Yi Liu; Ruimei Chai; Ke Xu
Journal:  Springerplus       Date:  2015-04-21

Review 7.  Dynamic Contrast-Enhanced CT in Patients with Pancreatic Cancer.

Authors:  Rie Ø Eriksen; Louise S Strauch; Michael Sandgaard; Thomas S Kristensen; Michael B Nielsen; Carsten A Lauridsen
Journal:  Diagnostics (Basel)       Date:  2016-09-06

8.  Perfusion-CT--Can We Predict Acute Pancreatitis Outcome within the First 24 Hours from the Onset of Symptoms?

Authors:  Joanna Pieńkowska; Katarzyna Gwoździewicz; Katarzyna Skrobisz-Balandowska; Iwona Marek; Justyna Kostro; Edyta Szurowska; Michał Studniarek
Journal:  PLoS One       Date:  2016-01-19       Impact factor: 3.240

9.  Computed Tomography (CT) Perfusion in Abdominal Cancer: Technical Aspects.

Authors:  Martin Lundsgaard Hansen; Rikke Norling; Carsten Lauridsen; Eva Fallentin; Lene Bæksgaard; Klaus Fuglsang Kofoed; Lars Bo Svendsen; Michael Bachmann Nielsen
Journal:  Diagnostics (Basel)       Date:  2013-04-03

10.  Whole-organ CT perfusion of the pancreas: impact of iterative reconstruction on image quality, perfusion parameters and radiation dose in 256-slice CT-preliminary findings.

Authors:  Qian Xie; Juan Wu; Ying Tang; Yafang Dou; Sijie Hao; Feijia Xu; Xiaoyuan Feng; Zonghui Liang
Journal:  PLoS One       Date:  2013-11-26       Impact factor: 3.240

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