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Dynamic Contrast Enhanced Magnetic Resonance Imaging of an Orthotopic Pancreatic Cancer Mouse Model
Published on: April 18, 2015
Solid pancreatic lesions: characterization by using timing bolus dynamic contrast-enhanced MR imaging assessment--a
Jae Hyun Kim1, Jeong Min Lee, Ji Hoon Park
1Seoul National University College of Medicine, Seoul, Korea.
Radiology
|November 30, 2012
Summary
Postprocessing dynamic contrast-enhanced MRI data using the radial k-space-weighted image contrast (KWIC) technique provides useful perfusion parameters. These parameters aid in characterizing solid pancreatic diseases, differentiating between cancers, neuroendocrine tumors, and normal tissue.
Area of Science:
- Radiology
- Medical Imaging
- Oncology
Background:
- Dynamic contrast-enhanced (DCE) magnetic resonance (MR) imaging is crucial for characterizing solid pancreatic diseases.
- Accurate assessment of perfusion parameters is essential for differentiating between various pancreatic pathologies.
Purpose of the Study:
- To evaluate the feasibility of postprocessing DCE-MR imaging data acquired with a three-dimensional radial gradient-echo technique and k-space-weighted image contrast (KWIC).
- To determine if this technique can yield useful perfusion parameters for characterizing solid pancreatic diseases.
Main Methods:
- A retrospective study involving 45 patients with suspected biliary or pancreatic disease.
- Pancreatic MR examinations were performed using a 3.0-T imager with a low-dose timing bolus and the radial KWIC technique.
- Perfusion parameters including volume transfer coefficient (K(trans)), rate constant (k(ep)), and initial area under the concentration curve (iAUC) were measured and compared among groups.
Main Results:
- Significant differences in K(trans), k(ep), and iAUC were observed between pancreatic cancer and normal pancreas groups (P < .05 for all).
- Distinct differences were found in k(ep) between pancreatic neuroendocrine tumors (PNETs) and normal pancreas (P < .0001).
- Pancreatic cancers and PNETs showed significant differences in K(trans), k(ep), and iAUC (P < .0001, P = .038, P < .0001, respectively).
Conclusions:
- Timing bolus DCE-MR imaging with the radial KWIC sequence is feasible for postprocessing.
- The generated perfusion parameters show potential for differentiating and characterizing solid pancreatic diseases.
